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10 Ways to connect business intelligence to IoT devices in 2022

In 2022, there will be 10 ways to connect business intelligence to IoT devices

In 2022, there will be 10 ways to connect business intelligence to IoT devices

With the rise of IoT, there has been an increase in the amount of data being collected from various sources. Learn about the top trends in BI and IoT in 2022!

In 2022, we will see an increased use of IoT devices that collect data from all aspects of our lives. This includes everything from smart homes to wearable technology. Business Intelligence (BI) tools will play a key role in helping companies analyze this data and make better decisions.

Analytics

As we enter the next decade, there will be continued growth in the adoption of AI, IoT, and other technologies. These trends will help us better understand our customers and improve customer experiences.

Machine Learning

By 2020, there will be more than 50 billion connected devices. This number will continue to grow as new technology becomes available. Data collection will become easier with the use of sensors and machine learning.

AI

As we move into the future, we will see the emergence of artificial intelligence (AI), machine learning (ML) and big data. These three technologies will play a key role in how businesses collect and analyze data.

Big Data

Big data refers to large volumes of structured and unstructured data generated by organizations. This includes data from social media platforms, mobile apps, websites, sensors, and other devices. It also includes data from internal systems such as CRM software, ERP, and accounting applications.

Data Visualization

There are several trends that will continue to impact BI in 2022. Organizations will adopt AI as part of their business intelligence strategy.  Most of the businesses will move towards cloud-based solutions. more companies will focus on mobile BI. Companies will adopt machine learning and predictive analytics. literally, companies will adopt IoT. Most of the companies will adopt blockchain and big data. And also businesses will use artificial intelligence and virtual reality.

An excellent strategy

If you want to connect business intelligence (BI) to IoT devices, the first step is to decide what data to collect and analyse from IoT solutions in order to create a visual dashboard. Everything begins with meticulous planning for how a company will use the data gathered. The company can then determine how the data should be distributed and displayed to those who require it.

Examine Data

Data investigation programmes such as Azure Synapse Analytics model the data so that it is ready to visualise. Essentially, the software enables the search for explicit data in order to analyse it at scale. Furthermore, they provide strong analytics to ensure that your organisation understands their data.

Inventory Management and Resource Tracking

Do you deal with stock tracking and management issues? Are your workers unnecessarily preoccupied with stock-related issues? IoT applications can help you manage your inventory by providing a few pre-programmed control options. Similarly, using the Internet of Things to track resources in the production network can be an optimal solution to missing resources.

Developing New Business Lines

Organizations foster products and screen their product’s exhibition, all thanks to the predictive support calculation built into the IoT platform. The ability to move IoT data across the organization’s environment of clients and partners enables new ways of advancement as continuous commitment and value added administrations.

Enhance Omni-channel Services

The omni-channel sales approach is widely accepted today because it streamlines the entire shopping experience. The Internet of Things and business intelligence are critical in enabling Omni-channel service and vastly improving user experience. Sensors on IoT devices enable companies or manufacturers to remotely monitor operations, status, and service levels.

Accessibility, Efficiency, and Productivity

As consumers prefer quick access to things over other features, logistics service providers and suppliers are implementing IoT technology solutions to ensure faster order delivery. Businesses also require a high level of efficiency and productivity. You can increase the productivity of your company by learning more about the market and its customers.

To learn more about the advantages of custom software development, call Aagnia’s experts at +917540007581 or schedule a consultation online.

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How digital transformation is reshaping business

How-digital-transformation-is-reshaping-business

How digital transformation is reshaping business

In today’s world, businesses have to be agile and adaptable if they want to survive. But what does this mean for their IT departments?

 

Digital transformation has become an important part of many companies’ strategies. It involves making changes in how they operate so that they can better compete in the marketplace. This includes changing the way they use technology to improve efficiency and productivity.

 

The fourth industrial revolution has finally arrived. Big data, artificial intelligence (AI), the Internet of Things (IoT), and high-performance computing are transforming how businesses compete and evolve. Winners and losers in this new era will be determined by how quickly they can recognise trends and disrupt industries.



When it comes to organisations that can predict needs and get products to market faster, the results are exponential. Consider UPS, which created a data-driven and AI-powered system to create optimal routes and increase delivery speed. As a result, the company improved customer service, reduced fuel costs, and reduced emissions, saving an estimated $300 to $400 million per year. Meanwhile, the Postal Service is having difficulty keeping up.



Technological advancements have always given some an advantage while leaving others behind, and because COVID-19 hastened digital transformation, we now live in a world where keeping up with modern technologies is critical. In fact, in response to COVID-19, 79 percent of executives reported an increase in digital transformation budgets, and 69 percent of companies surveyed indicated they will spend the same or more on such efforts this year as they did in 2021.

 

These efforts range from health systems expanding their telehealth offerings to businesses investing in agile supply chain management and businesses adopting new digital tools to enable remote collaboration.

 

To stay ahead of the curve, examine your own processes and determine how you can leverage the power of big data, AI, and other transformative technologies to propel your organisation forward.

 

So, how do you get ready to embark on a digital transformation journey? Here are four mistakes to avoid, as well as some pointers on how to get started.

There are no clear goals for Digital Transformation.

One common blunder is failing to establish specific, measurable goals for digital transformation efforts. Begin by wondering, “What would you do if you knew?” to help you define your vision.

 

What information do you wish you had about your customers? What data or automations could you employ to boost efficiency? How might greater certainty and precision in your decisions help you make a bigger impact?

 

Consider the most pertinent question to your organisation to begin uncovering areas of opportunity that data, analytics, and digitalization can capture. Set yourself on a clear path by taking the time to identify the real question you’re attempting to answer.

You do not understand the available data

I like to quote a statistic: 90% of the world’s data was created in the last two years, but we only use a fraction of it. The second most common mistake in digital transformation and data maturation initiatives is failing to tap into relevant and available data.

 

First, determine what data you have in your organisation. You’re probably already collecting extensive data sets about your customers, products, supply chains, and other topics. Although information may be siloed, it can be organised and integrated to inform better decisions.

 

Second, look for external data sets to supplement your knowledge. You can incorporate publicly available data, such as census or weather information. IoT and digital data are also becoming more prominent, with the average cost of IoT sensors dropping significantly and the number of connected devices expected to increase 652 percent between 2015 and 2025. Open-source, proprietary, public, crowdsourced, cellphone, and mobility data, among other things, can be combined with your data to improve insights and create a competitive advantage.

 

For example, at my company, we’ve discovered that leaders in health care, parks and recreation, emergency response, and urban planning can all benefit from a mix of public and proprietary data. We’re specifically assisting them in using mobility and location intelligence to gain a more holistic understanding of their communities and better serve them.

 

Working with different types of data allows you to discover new insights that you would not have discovered otherwise because the information never existed together.

Not Strengthening the organizational capacity to collect insights

A successful digital transformation journey necessitates more than just data collection. To create a culture of data-driven decision-making, you need people with the right skills. That brings us to another common blunder: failing to invest in the skills and structures required to turn insights into actionable insights that are part of daily workflows.

 

Create a strategic data analytics capability to help your digital transformation efforts. This is accomplished by retaining analytics talent who can assist you in putting tools and technologies in place to increase your BI resources, define data governance, and create a roadmap for priority analytics investments.

 

If your goal is to reduce manual, redundant tasks, for example, you should invest in technologies that can automate processes, allowing people to devote more time to critical and creative thinking.

System creation without employee Buy-IN

New technologies alter how employees work. Don’t underestimate the value of employee buy-in. If employees believe that new technology will disrupt their workflows rather than improve them, the technology’s success is unlikely.

 

Due to a lack of training, many businesses will purchase an expensive business intelligence tool but never fully utilise it. To avoid this blunder, put people at the centre of your digital transformation journey, bringing them into the conversation early and often. Communicate the benefits of new technologies and improved analytics to employees, and empower them to adopt new processes that will drive organisational success.

Explore, Learn, and Evolve

Organizations that learn how to use big data and combine it with modern technologies will be better positioned to achieve their objectives and make an impact.

 

Digital transformation initiatives, like any major organisational change, are not easy, but the benefits can be realised sooner than you think. You can take a big step toward making better, smarter, faster decisions for your organisation by investing in the right technology and creating a plan for leveraging new insights.

 

To learn more about the advantages of custom software development, call Aagnia’s experts at +917540007581 or schedule a consultation online.

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5 key industries in need of IoT security

5-key-industries-in-need-of-IoT-security

5 key industries in need of IoT security

The Internet of Things (IoT) is an emerging technology that connects everyday objects to the internet. It’s already changing our lives. But what does it mean for businesses?

Society is entering a new era marked by data creation and consumption as much as it is by the systems, infrastructures, and devices that produce data with the advent of the Internet of Things (IoT). In this new world, we are moving far away from conventional business models to ones that offer cost-efficiency, procedures that are improved, customers the newest experiences, or even all of the aforementioned. You can do that with the assistance of the Internet of Things application.

 

The IoT has incredible value-generation potential. It has the potential to radically reshape sectors and industries and open the door for brand-new business models. However, in order to fully realise its potential, businesses will need to look beyond their current business priorities and across their entire product lifecycles, with the aid of IoT-based projects.

 

Every aspect of their companies will need to be scrutinised through the lens of the customer experience. The Internet of Things (IoT) aims to connect every industry and every sector of the economy by connecting any device that can gather, send, or store data.

Manufacturing Industries:

IoT applications have many advantages for the manufacturing sector. It enables the production process to be watched and its weak points to be found. Additionally, it aids in preventing issues that might result in manufacturing process delays.

Intelligent Internet of Things (IoT) solutions raise production quality, guaranteeing high product and service reliability. Resource allocation can be optimised, and worker productivity and skill can be raised by using IoT software in the manufacturing industry.

A timely understanding of product manufacturing enables cost management, maintenance cost reduction, and product quality enhancement. Without entering the production facility, it can be done by remotely monitoring all of the production equipment.

Attacks on manufacturers can have a variety of motivations, including terrorism, extortion, and disruption. Targets include supervisory control and data acquisition (SCADA) systems, distributed control systems (DCS), programmable logic controllers (PLC), and human-machine interfaces (HMI).

Attackers have been known to direct their attacks on factory equipment PLCs rather than customer or accounting data. Attackers successfully took control of PLCs with hardcoded passwords before destroying the expensive machinery in their charge.

Healthcare:

Healthcare is arguably the sector most dependent on IoT devices. Hospitals, clinics, and organisations that deliver vaccines are frequently targeted, and the reason is frequently not financial. It sometimes seems like sabotage. According to a recent Ponemon Institute study, IoT or medical devices were to blame for almost 25% of hospital data breaches. Hospital ransomware attacks more than doubled in 2021, endangering patient care and hospital revenue.

 

A COVID Task Force was established in 2020 by CISA, the Cybersecurity and Infrastructure Security Agency, to assess risks to patient care and the operation of healthcare and vaccine entities. The Task Force discovered numerous risks to patient care and survival brought on by attacks that take advantage of unprotected IoT attack surfaces in hospitals. To physically secure healthcare facilities, these include medical devices as well as security cameras and access controls.

 

Josh Corman, the CISA Task Force’s chief strategist, declared that “The Internet of Medical Things is more brittle than we expect.” “Notably, before the pandemic, 85% of hospitals in the United States had no on-staff security personnel.”

 

Businesses and entrepreneurs are now interested in the Internet of Things. Here are some ways that IoT applications are enhancing healthcare:

 

Through effective data collection and management, the IoT can help lower the cost of medical services by managing patients off-site and preventing unneeded visits and hospitalisation.

 

Healthcare organisations can reduce waste and failures thanks to IoT-based products. The best way to reduce unnecessary tests and expensive imaging procedures is through data collection and analysis from work automation. Additionally, it lowers overall operating expenses.



By allowing therapists to spend less time tracking supplies, preventing hospital infections, and looking for medications, the IoT can also help improve management in the healthcare sector.

Agriculture:

IoT solutions used in agriculture are referred to as “smart agriculture.” It is anticipated that farmers would find it simpler to use IoT sensors to improve practically every aspect of their work, from crop farming to livestock management.

One of the industries that can benefit the most from the Internet of Things is agriculture. It is also a sector of the economy that is constantly in need of technological advancement. It therefore embraces IoT and makes use of it to maximise its advantages.

Supply chain & logistics:

transport method Despite the high stakes in the freight, rail, and maritime shipping industries, where fleet, vessel, and traffic management systems are essential, IT security has lagged behind that of other industries. In 2017, the NotPetya attack against the Ukrainian government caused collateral damage to the shipping company Maersk. For two weeks, Maersk struggled to move containers and ships and was effectively paralysed globally.

 

IoT-connected traffic signalling systems with road sensors and LIDAR are used on roads, as are self-driving cars. For traffic management, power supply, maintenance, and station control systems, railways rely on IoT. There is work to be done if IoT security starts with device visibility. In large and medium-sized organisations, complete device visibility is frequently lacking.

Hospitality:

As IoT grows, everything is becoming digital. Smart cities, smart homes, and even smart cars are becoming more popular. By reducing operational costs and increasing productivity with real-time data, IoT benefits businesses and enables them to make better business decisions.

 

Hotels can easily use IoT to complete a number of tasks like designing highly customised rooms, managing the temperature and ventilation in the space, anticipating device repairs and maintenance, alerting maintenance staff when necessary, etc.

 

The IoT also has the greatest potential to transform an organization’s culture, transforming it from one that merely produces goods to one that provides customised services.

Important conclusions:

There has been a worldwide rush to deploy billions of devices as a result of IoT’s growth. Large fleets of connected devices have been accumulated by businesses in key industries, opening security gaps. IoT security is currently neglected in many contexts. For instance, because default settings are never changed, a sizable percentage of devices share the userID and password “admin/admin”.

 

Because the majority of devices are unnoticeable to organisations, security has largely become an afterthought. Simply put, there is no way for hospitals, casinos, airports, cities, etc. to see every device connected to their networks. Security threats are increasing as a result. In the first half of 2021, there have been more than 1.5 billion attacks against IoT devices, or roughly twice as many as in the prior year.

Key points:

  • These days, enthusiasm in the Internet of Things is growing quickly across all industries.

 

  • IoT assists the healthcare sector in lowering costs, maintaining databases, and cutting waste.

 

  • IoT assists manufacturing sectors with cost management, resource allocation, and process tracking.

 

  • IoT enables the agriculture sector to use cutting-edge equipment and guarantee sustainable farming.

 

  • IoT enables the automation of processes in the hospitality sector, making it simpler for hotels to cut waste, increase efficiency, and enhance culture.

Life and the workplace are changing as a result of the Internet of Things (IoT). There won’t be a shortage of fresh business opportunities as a result in the upcoming years. The Internet of Things (IoT) is an emerging trend that has been slowly gaining traction over the past few years.

 

The Internet of Things (IoT) is transforming people’s lives and workplaces. As a result, new business opportunities will be plentiful in the coming years. The Internet of Things (IoT) is a phenomenon that has grown slowly over the past few years and is only now becoming mainstream.

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Implementing IoT into Your Business Benefits and Considerations

Implementing IoT into Your Business: Benefits and Considerations:

The cloud paradigm has emerged into a versatile IT phenomenon and inspired many in the world to come up with innovative cloud-centric services and platforms that facilitate people-centric, multifaceted cloud applications.

IoT technology coupled with cloud has enabled ordinary become extraordinary and the working become connected and cognitive to seamlessly and spontaneously join the mainstream computing process.

 

Cloud-based integrated platforms are the baseline for creating IoT applications. The Emergence of the IoT Platform as a Service PaaS solutions has got exciting propositions for different industry verticals. Interactive touch screens, personalised in-store environments, and augmented reality are just the beginning.

However, it is important to remember that the value of IoT does not lie in technological advances but instead in improving and creating immersive customer experiences. 

 

Proactive analytics helps a device identify future needs, such as the case when a part might fail, when it requires service, or when supplies need to be ordered. 

When the machine itself can dispatch the appropriate commands to a human or another machine, it ensures smooth, safe, and optimised operation.  

 

Manufacturing companies were among the first to embrace IoT.. Forward-thinking manufacturers are standing out from their competitors by building connected and cognitive machines.

Businesses also gain a competitive advantage by enabling their existing products through a host of technologically advanced and strategic solutions so as to capture the required intelligence for their customer satisfaction setting new heights of premium services 

Any industry can gain a lot upon adaptation of IOT. To name a few,

Understand the human and machine dynamics, the ecosystem, the social objects and their relation.

  • Highly optimised Infrastructure
  • Smoothly working engine like Process at its excellence
  • Architecture assimilation
  • Scalable technology adaptation
  • Leverage data for continuous improvement
  • Below are the considerations for implementation of IOT,
  • Security and privacy issues 
  • Huge volume of data collections many times multi-structured data. 
  • Transparency issues
  • Changing business model, principles, paradigms.
  • Diversified architecture, protocol, communications and integrity.
  • Without discounting on the considerations which can be handled with proper implementation, the IOT surely sets the fertile ground for the next generation to come.

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Use of IoT technologies for machine performance management

IoT case-study

Use of IoT technologies for machine performance management:

The most important factor in creating an effective production facility is making sure that resources are used correctly and are functioning at their best. The most crucial concerns for a business are the ability to predict maintenance and failure situations, the controllability of the production line, and the maximum efficiency of the machines that are the most valuable resources. Through adjusting to modern technologies and digital systems, the production line can become profitable and utilise its resources more effectively.

Machines that are not integrated with new technologies run into issues:

Machine Errors:

The failure of the machinery anticipated for use in the production plan as a result of a malfunction or unanticipated stoppage is referred to as a machine failure loss. Every machine has the potential to break down, but issues with machines that lack the appropriate technology integration cannot be identified quickly and sensibly, which could disrupt business operations.

The machines' production speed has decreased:

When a machine runs slower than the Ideal Cycle Time during production, this is referred to as a speed loss. For some businesses, a slow connection is unacceptable because it significantly reduces performance. Losses resulting from speed issues are frequently caused by a variety of factors, including dirty or worn machinery, inadequate lubrication, and the use of inferior materials. Because the machines don’t support the necessary technologies, the root causes of the issues can’t be found and tracked, and production speed reductions are also very likely.

Machine process losses:

Significant quality losses occur as a result of machine flaws and machine process errors, which lead to the production of defective parts. Incorrect equipment settings, operator or equipment processing errors brought on by a lack of technology integration are common causes of process defects.

Sustainability Machine Weakening:

Sustainable equipment is any type of machinery that does not harm the environment, conserves natural resources, is affordable, and can sustain long-term operations that are dependable and healthy for consumers, businesses, and employees. Without precise technological action, it is impossible to ensure the sustainability of machines.

Using IoT technologies, track machine efficiency:

Because machine tracking has significant advantages for effectively carrying out business operations, it is crucial for companies to monitor and manage the performance of their machines using IoT technologies. The ability of business management to quickly make important decisions regarding equipment and procedures is the most important of these advantages. Businesses also benefit from opportunities like monitoring production data, capacity planning, and anticipating maintenance and breakdown needs.

What Can the Machine Efficiency Tracking Solution from Aagnia Offer and How Does It Operate?

Following is a summary of the advantages of Aagnia’s Machine Efficiency Solution, developed with AI-based IoT technologies:

  • provides management panel-based real-time and historical monitoring of the machine performance parameters.
  • allows for the tracking of production numbers, which verifies whether the system is operating at maximum efficiency.
  • provides real-time notifications about the production level to assist the business in planning operations.
  • by immediately tracking the machine operators’ activities, it enables efficiency analysis.
  • By doing away with the need for manual data input and output by the staff, the system becomes digitalized and autonomous.
  • reduces the time lost during product delivery, which speeds up and improves the processes.
  • ensures the early identification and correction of persistent issues with how the machines function.
  • By finding out what time the machines start working and stop working, it is possible to track their start and stop information as well as their working hours throughout the day.

Visit our page and get in touch with us if you’re interested in learning more about Aagnia’s solutions for improving forklift efficiency and safety in your particular industry.

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Why Manufacturers are Still Not Adopting IoT

Why Manufacturers are still not adopting IoT

Why Manufacturers are Still Not Adopting IoT

Manufacturers are using IoT to improve efficiency and reduce costs. But there are many barriers that prevent companies from fully implementing IoT solutions.

There are many reasons why manufacturers have yet to adopt IoT, including security concerns, lack of expertise, and cost.

 

One reason why manufacturers are reluctant to adopt IoT is because they do not understand how it will benefit them. They also fear that IoT will make their products more expensive. However, IoT has been proven to save money by reducing downtime, improving quality, and increasing productivity.

The Cost of Implementing IoT

There are several reasons why manufacturers are hesitant to adopt IoT. First, they do not understand how IoT will benefit them. They fear that IoT will make the cost of production higher. They worry that IoT will make their product more expensive. They believe that IoT will take too much time and effort to implement. They think that IoT will require too much training. They feel that IoT will be difficult to manage. They are concerned that IoT will make their business less competitive.

 

Depending on a company’s strategy, this may or may not be accurate. DIY factory monitoring and ad hoc or piecemeal industrial IoT systems will undoubtedly be more expensive and require investment. The price of upgrading infrastructure with pricey cable runs, device compatibility between various types and generations of OEM equipment, and other factors must also be taken into account.

 

The ROI is questionable when businesses use these fragmented strategies. Since it fits into a window where they believe their internal resources are most useful, many of them have used this strategy. They think it enables them to develop a system using internal IT and maintenance resources.

 

Alternatives, however, are now affordable and offer a fantastic ROI. Companies can utilise their data across all equipment by using a specialised turnkey platform, such as the Industrial IoT platform from Aagnia’s. The platform supports even analogue devices and is independent of OEM technology and device age.

 

To maximise the use of already-existing infrastructure, the platform from Aagnia’s also makes use of reliable but simple-to-install IoT devices. Because of this connectivity, the system can operate on cable, wireless, and cellular networks, eliminating the need for pricey infrastructure upgrades.

Data Security:

Security concerns with cloud-based systems existed in the past. However, the backbone of the cloud-based ecosystem has made investments in technology to make cloud-based systems more secure than on-premise systems in response to the meteoric rise of cloud computing providers like AWS, Azure, and Google Cloud.

 

Even among the most well-known manufacturers, IT departments are small. They cannot effectively monitor the internal system against attacks, which are almost always based on workstation entry, by investing in security technology. The most effective methods for reducing security risks are best practises and workstation-level training. To further enhance security, cloud providers can address these risks at the server level. While security was once a concern, there is currently a misconception that cloud-based IoT systems are less secure than internal IT protocols.

 

However, there are some benefits to using IoT. One of these benefits is that it helps companies reduce costs by reducing downtime. Another benefit is that it allows companies to monitor their products and processes remotely. This means that they can detect issues before they become major problems.

Non-qualified staff members:

Companies that have developed piecemeal or ad hoc systems have probably also produced a confusing jumble of different systems, each of which has a different learning curve.

 

IoT solutions from Aagnia’s  make use of simple dashboards that are accessible from strategically placed HMIs. The platform requires less training and the data is contextualised to make useful insights more obvious.

Combining operational technology and legacy systems:

Many manufacturers have long suffered from a lack of interoperability, which has caused them to be wary of new technology. Platform design is crucial in this situation. By implementing IoT in-house, business IT departments could make an already frustrating interoperability issue worse. These subsystems might not be programmable or customizable due to IP and other proprietary issues.

 

A different strategy is used by a solution like Aagnia’s’. Through API connectivity, it interacts with other existing programmes like MRP, ERP, MES, and others to provide seamless integration. In order to improve the functionality of software systems like ERP, it drives real-time data and insights to all connected system components rather than competing with them.

IoT and Machine Data- How to Use Them for Remote Operations:

The best IoT platforms for manufacturing will provide access from anywhere. Starting with tablets on the shop floor, operators and technicians should be helped by clear dashboards. It ought to be reachable from any location on the planet using a computer, phone, or laptop.

 

Managers and technicians can act from any location to prevent problems because alerts in a real-time IoT system are frequently sent with prescriptive and analytical data before a problem occurs.

Using IIoT to Increase Operational Efficiency:

With industrial IoT solutions, you can accomplish a lot. Although we’ve already mentioned a few common use cases, there are countless other possibilities. Where do you start is the only issue with this.

 

In order to at the very least have immediate visibility into shop floor performance, we advise connecting the core of your shop floor. Real-time information about the production process gives you an immediate productivity boost because it keeps the team accountable and ensures that any issues are discovered quickly.

 

Additionally, if you begin by connecting your equipment, you’ll have a solid foundation on which to build and continue to add value with additional use cases, whether they support maintenance, quality, planning, or another area of the operation.

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The impact of the IIoT can be measured in three ways

IIoT in Manufacturing Industries

The impact of the IIoT can be measured in three ways

From the top floor, you have visibility of the shop floor and field operations:

The Industrial Internet of Things provides a groundbreaking level of visibility into shop floors and field operations, as well as the ability to manage enterprise resources with ease. IIoT solutions bridge the gaps that cause ERP and MES systems to reach their limits: manual data entry and the inability to deal with comprehensive information (real-time equipment status reports, inventory item locations, and so on).

 

IIoT helps firms to significantly boost manufacturing process productivity by supplying manufacturers with second-by-second shop floor data. According to IBM, employing IIoT insights to optimise industrial processes can result in a 20% increase in product count from the same production line.

There are two types of IoT applications that assist manufacturers to acquire more vertical visibility:

  • Supporting applications for manufacturing operations
  • Applications that aid in the management of industrial assets.
Manufacturing operations aided by the Internet of Things:

According to a McKinsey study, the benefits of IoT applications in operations might be worth more than $470 billion per year by 2025. Monitoring and optimising equipment performance, production quality control, and human-machine interaction are all examples of IoT uses for manufacturing.

Keeping track of how much equipment is being used:

IoT solutions for monitoring machine use, according to ITIF study, can boost manufacturing productivity by 10 to 25% and generate up to $1.8 trillion in global economic value by 2025. IoT solutions for machine utilisation monitoring provide businesses with real-time equipment usage measurements, giving them a full picture of what’s going on at every stage of the manufacturing process.

 

Monitoring machine utilisation begins with obtaining important data regarding machine operating parameters from sensors, SCADA, or DCS systems, such as run time, actual operating speed, product production, and so on. Data is collected in real time and sent to the cloud to be processed.

 

The cloud collects data and transforms it into actionable insights about equipment utilisation KPIs (TEEP, OEE, setup and adjustment time, idling and minor stops, etc.). The results of the data analysis are visualised and provided to production workers via a user app (either web or mobile).

Condition monitoring is used to control product quality:

The quality of the commodities produced can be monitored in two ways: by evaluating a WIP (work in progress) as it progresses through the production cycle, or by monitoring the condition and calibration of the equipment on which a product is manufactured. 

 

Although quality control based on checking WIPs yields more accurate findings (it aids in the discovery of tiny flaws such as inconsistencies in part alignment), there are some drawbacks that limit its application:

 

  • Only discrete manufacturing can benefit from quality control based on WIP inspection.
  • Because WIPs are manually examined, it is costly, time-consuming, and labor-intensive.
  • Because inspecting every WIP is rarely practicable, the approach provides a fractional view.

 

The second technique, which is based on monitoring machine status and calibration, has a narrower scope and uses a simple binary categorization of “excellent” and “not good.” It does, however, aid in the detection of manufacturing bottlenecks, the identification of poorly tuned and/or underperforming machines, the prompt prevention of machine damage, and more.

 

Equipment calibration, machine conditions (speed, vibration, etc.) and environmental factors (temperature, humidity, etc.) are monitored to determine when they go above normal thresholds in order to monitor the quality of the manufacturing process. 

 

A quality monitoring solution pinpoints the source of an issue, sends an alarm, and advises a mitigation action to correct or adjust the machine and reduce the output of low-quality products if sensor readings are approaching the thresholds that can lead to a probable product defect.

Monitoring safety:

Workers in a variety of industries, including mining, oil and gas, transportation, and others, are given RFID tags that track their location as well as wearable sensors that monitor their heart rate, skin temperature, galvanic skin response, and other information.

 

The sensor data is sent to the cloud, where it is analysed against contextual data (such as data from environmental sensors, legacy work planning systems, weather feeds, and so on) to detect unusual behaviour patterns (such as sudden vertical movements, unusual heart rates, and so on) and to protect workers from falls, overexertion, and other injuries, as well as to report a safety threat in a timely manner.



For example, a person suffering from overheating might have a high skin temperature, a fast heart rate, and no movement patterns for roughly a minute.

 

An IoT solution notifies an employee’s responsible person (a worker’s management, a doctor, etc.) via a mobile application if such a circumstance is detected.

Industrial asset management IoT applications:

The Internet of Things is used in manufacturing to assure proper asset utilisation, extend equipment service life, increase dependability, and offer the highest return on assets, in addition to boosting the efficacy of industrial operations. 

 

The following are examples of IoT applications that help with industrial asset management:

  • Asset tracking in the industrial sector
  • Inventory control is important.
  • Maintenance that is planned in advance (based on condition monitoring).
Asset tracking in the industrial sector:

Smart asset tracking solutions based on RFID and IoT are likely to supersede traditional spreadsheet-based approaches by 2022, according to Zebra’s 2017 Manufacturing Vision Study. 

 

IoT-based asset management systems alleviate the tracking load from staff (freeing up to 18 hours of monthly working time) and minimise inaccuracies associated with manual data input by giving accurate real-time data about the enterprise’s assets, their statuses, locations, and movements.

 

IoT and RFID work together to provide asset tracking in production. Each asset is identified with an RFID tag that serves as an asset identifier, whether it’s a magnetic locator or a crane. 

 

Each tag has a distinct ID that is linked to information about a specific asset. The ID as well as the asset data are both kept in the cloud. Physical attributes, cost, serial number, model, allocated employee, area of use, and other data may be included in the asset data.

 

An RFID reader situated at the yard entrance scans the tag attached to the crane and stores the record about the asset leaving the yard to an in-cloud database once an asset, such as a crane, departs an equipment storage yard. 

 

When the crane enters a building site, for example, an RFID reader at the site entry reads the tag and updates the data in the database. The ability to see the movements of assets is made possible by logging such data along the asset’s trip.

 

Furthermore, GPS tracking may be utilised to determine the location of movable assets, such as construction machines. 

 

Asset tracking technologies are also used to calculate utilisation for transportable assets. Technicians can locate idling or underused machinery and arrange preventative repair by looking at how long any movable (say, a bulldozer) is in use.

Inventory control in a business:

Manufacturers can employ IoT-driven inventory management solutions to automate inventory tracking and reporting, maintain constant visibility into the status and location of individual inventory items, and reduce lead times (the time between placing an inventory order and receiving it). 

 

Smart inventory management solutions are said to save 20 percent to 50 percent of an enterprise’s inventory holding costs as a result of these enhancements.

 

IoT and RFID technologies are used in manufacturing to implement inventory management solutions. A passive RFID tag is attached to each inventory item. Each tag has its own unique ID that contains information about the item to which it is linked.

 

RFID readers are used to retrieve data from the tags. The IDs of tags are captured by a reader and sent to the cloud for storage and processing. 

 

The data regarding the location of the RFID reader and the time of the reading is communicated to the cloud to establish the location and movements of the scanned tags, as well as the tags’ IDs. 

 

The cloud determines the location and state of each item, visualises the results, and presents them to the users.

Condition monitoring and predictive maintenance:

Predictive maintenance solutions based on the Industrial IoT are predicted to lower factory equipment maintenance costs by 40% and generate $630 billion in economic value annually by 2025, according to Deloitte. 

 

Predictive maintenance projects are being piloted by 55 percent of enterprises, indicating that the solution is leading IoT adoption. From a technology standpoint, this is how it is done.

 

Predictive maintenance is based on the information gleaned from continuous equipment monitoring.

 

Sensors are attached to a piece of equipment, which collect data on a variety of characteristics that determine its health and performance, such as temperature, pressure, vibration frequency, and so on.

 

Sensor readings are merged with metadata (equipment model, configuration, operational settings, etc. ), equipment usage history, and maintenance data received from ERP, maintenance systems, and other sources once the real-time data from many sensors has been collected. 

 

On a dashboard or on a mobile app, all of the data is processed, displayed, and provided to shop floor workers.

 

However, reporting and visualisation alone aren’t enough to foretell the future. To enable prediction, machine learning techniques are applied to the combined data set to identify anomalous trends that could lead to equipment breakdowns.

 

Predictive models are built on the basis of detected data patterns by data scientists. The models are trained, tested, and then used to detect potential problems, forecast when a machine will fail, pinpoint operating circumstances and machine usage patterns that lead to failures, and so on.

 

For example, the machine’s condition parameters (such as temperature and vibration), operational parameters (such as speed and pressure), and environmental parameters (such as humidity and temperature) are all within standard limits.

 

Combining these factors and assessing the whole data set against prediction models, on the other hand, reveals that the combination of parameters that are normal when taken separately can cause, for example, a machine’s engine failure. 

 

Once a potential failure has been discovered, the predictive maintenance system provides a message to the maintenance team, informing them of the potential for degradation and advising them on how to avoid it. Predictive maintenance capabilities is demonstrated in our smart factory demo.

Having visibility across the manufacturing supply chain is essential:

End-to-end supply chain visibility is still a long way off for 52 percent of supply chain managers. The outlook for IoT-driven manufacturing supply chain management solutions, on the other hand, is very positive:

 

 According to IDC, by 2020, 80 percent of supply chain exchanges will take place over cloud-based networks. According to the same source, the shift to smart, IoT-enabled supply chain management solutions is expected to boost supply chain productivity by 15% and cost efficiency by 10%.

 

Smart supply chain management solutions give producers real-time visibility over the location, status, and condition of any object (whether it’s a single inventory item on a warehouse shelf or a truck transporting supplies) at every point in the manufacturing supply chain.

 

The ability to transition from knowing whether a particular SKU is available to knowing the status of each item in that SKU is an even greater benefit of IoT applied to manufacturing supply chain optimization.

 

Manufacturers could only acquire generic information on the availability of an SKU using traditional supply chain management systems, for example:

 

SKU X has 1,123 items in Warehouse 3.

 

With IoT in the manufacturing supply chain, businesses may collect information about the location as well as the attributes (such as manufacture date, shelf life, and so on) of each unique SKU item. Consider the following example:

 

Warehouse 3 has 1,123 SKU X products, including:

 

12 days ago, 1,000 things were made.

 

22 days ago, 123 things were made.

 

IoT is used to monitor the conditions in which the objects are stored and transported, in addition to tracking their position and attributes. 

The condition of items could only be monitored once they reached at the delivery site before IoT came into play. Materials, components, and goods may now be tracked in transit, which is especially useful for manufacturers of breakable and perishable goods (e.g. pharmaceuticals, food, glassware, modern nanomaterials, etc.).

 

Consider a pharmaceutical firm that uses a third-party logistics service provider to deliver an order to a distribution location. The temperature inside the containers is monitored by sensors affixed to the containers. 

 

Assume that the temperature inside the containers is beginning to rise due to a cooling system failure. The deviation from the acceptable threshold is ‘detected’ by a temperature sensor connected to the container’s inner wall. 

 

The IoT solution tells the manufacturer that the delivery conditions have been breached, as well as the driver, who resets the cooling system, preventing the transportation of medicines from spoiling.

Remote and outsourced operations visibility:

High shipping costs, rising demand for customization, the global supply chain’s complexity, and a scarcity of local talent (thus the need to outsource) all necessitate the distribution of shop floor operations.

 

When a company creates or buys a manufacturing plant in another city, state, or nation, it must still adhere to the same manufacturing and production requirements (material testing, industrial automation, predictive maintenance, and other). Compliance with manufacturing standards, which is impossible to check using traditional means, can be tracked using IoT.

 

For example, IoT-based predictive maintenance and early detection of probable failures allows maintenance actions to be planned ahead of time and removes the need for a local repair staff. 

 

Similarly, IoT-driven utilisation monitoring systems allow manufacturers to keep an eye on the efficiency of their production operations without having direct access to the shop floor (by delivering real-time equipment efficiency measurements).

 

Industrial smart, connected gadgets are another illustration of how IoT fosters distributed operations (SCPs). Hardware, sensors, networking, embedded intelligence, and cloud software are all part of smart, connected devices.

 

For example, industrial smart, connected products located at a manufacturing affiliate in Texas allow enterprise managers in California to get real-time data on a variety of SCP operating (e.g., changes in the temperature of transponders, critically high rotation speed of a milling machine’s spindles, etc.) and condition (e.g., temperature, vibration, etc.) parameters. Possible overload circumstances and breakages, as well as infractions of standard operating rules, are reported to the supervisors.

Small and medium-sized businesses have the same prospects as large corporations:

IoT provides comparable transformational prospects for small and medium-sized businesses by driving improvements in business and industrial processes.

 

A medium-sized corporation with affiliates in Illinois and Texas, for example, is geographically scattered, and so faces similar issues of distributed manufacturing as a major company with multiple affiliates in the United States and Mexico. IoT enables digital transformation for SMEs by relying on cloud computing and ubiquitous, sometimes open-source software.

 

The Industrial Internet of Things (IIoT) assists manufacturing companies in maximising efficiency by ensuring production uptime, lowering costs, and eliminating waste.

 

Manufacturers may gain a better understanding of their manufacturing and supply chain processes, increase demand forecasting, reduce time to market, and improve customer experience by leveraging IoT data. 

 

However, given the scope and complexity of Industrial IoT efforts, successful IIoT adoption necessitates careful orchestration across all IIoT application design and execution segments.

Explore a Wide Range of IoT Development Services

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Is your device ready for the Internet of Things?

IoT for Industries

Is your device ready for the Internet of Things?

According to Wikipedia, the Internet of Things (IoT) is a network of physical devices (“things”) such as home appliances, medical devices, industrial devices, agricultural devices, wearable devices, and other devices/items embedded with sensors, electronics, software, and other technologies for connecting and exchanging data with other devices and systems via the Internet. 

The Internet of Things has evolved as a result of the convergence of multiple technologies, including real-time analytics, machine learning, sensors, and embedded electronics. Data can be published and consumed by IoT devices.

The Industrial Internet of Things (IIoT), a subset of the Internet of Things (IoT), refers to sensor data, machine communications, and automation systems. 

On the other hand, the Fourth Industrial Revolution (Industry 4.0) is a much broader term that encompasses the entire digital transformation of the industry through the use of modern smart technology.

IoT ready devices are nonstandard computing devices that can connect to a network and send/receive data. IoT devices enable internet connectivity to be extended beyond the usual standard devices such as desktops, laptops, smartphones, and tablets. 

Connected devices are part of an ecosystem in which they communicate with other connected devices to automate tasks. Contact us to learn more! 

 

In a smart home, for example, connected devices such as smart TVs, smart speakers, smart appliances, smart lighting, smart thermostats, smart air conditioning, or smart security systems with cameras can all work together to make a home much smarter by using sensors and sharing data/information to control home access through facial recognition technology, home temperature, or lighting to improve energy efficiency without the owner setting foot inside the smart home.

In addition to connectivity, IoT-ready devices have intelligence and can make decisions. When a system can complete a set of tasks, learn from data, or gain information in an intelligent manner, this is referred to as artificial intelligence (AI). Manufacturers of IoT devices are gradually incorporating AI to provide greater control over the vast array of internet-connected devices and sensors.

Connectivity and AI are combined in IoT-ready devices to make the device smarter. Many businesses are eager to use IoT capabilities to gain a competitive advantage and develop new products. 

Connectivity, automation, and real-time analytics are combined to create new opportunities for increasing productivity, lowering costs, enabling flexibility, and increasing profits. 

IoT devices increase efficiency and can provide significant time savings, and smart device automation and control improve quality of life. 

When AI is added to an IoT device, it means that it can analyze data, make decisions, and act on that data without the need for human intervention.

Sensors convert physical actions into digital data.

A sensor is any piece of hardware that converts physical activity into real-time digital data for processing, and it can be found in almost every IoT device. 

Sensors enable IoT devices to monitor and collect data without human intervention, making our lives easier. For example, the Apple iWatch includes motion sensors to track the number of steps you take each day so you don’t have to! Cameras, microphones, thermometers, and pressure sensors are other examples of commonly used sensors. 

Kindly contact us if you want to learn more about how sensors can make your product smarter!

Send / Receive Wireless Data - Bluetooth, Wi-Fi, RF, LORA WAN

Most IoT devices use wireless communication technology such as Wi-Fi, Bluetooth, LORAWAN, and ZigBee to connect to the internet and send and receive data. When you ask Siri a question on an iWatch, for example, it uploads the audio recording of your voice and downloads its processed response to the watch, all over a wireless network! Aagnia has experience developing software solutions for virtually every wireless application, and the products you develop with us will perform as well as today’s top IoT devices.

Is an IoT application a good fit for your product? Contact us to speak with a consultant!

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IoT in Manufacturing Industries

IOT In Manufacturing Industry

IoT in Manufacturing Industries

With IoT in Manufacturing Operations, you can improve customer experience and drive business growth:

The Industrial Internet of Things (IIoT) is a method for digital manufacturing transformation. Industrial IoT collects critical production data using a network of sensors, which is then turned into useful insights about the efficiency of manufacturing operations using cloud software.

Adoption of IIoT in Manufacturing:

The following are the primary adoption drivers for Industrial IoT solutions:

Cost reduction:

Companies minimise operational expenses and generate new revenue streams through improved asset and inventory management (resulting in lower inventory carrying costs and search times), less machine downtime, more agile operations, and more effective energy use. Smart, linked products, for example, make it possible to shift from selling products to selling experiences — product consumption and after-sale services.

Shorter time-to-market:

Reduced product cycle time is possible thanks to faster and more efficient manufacturing and supply chain activities. For example, Harley-Davidson used IoT to restructure its manufacturing facility in York, Pennsylvania, reducing the time it takes to make a motorcycle from 21 days to 6 hours.

Mass customization:

The mass customization process necessitates a considerable increase in the variety of manufactured SKUs, resulting in an increase in inventory and diversification. Manufacturing activities become increasingly sophisticated as well – the manufacturing of 20 SKU X goods can be followed by the creation of 10 SKU Y things in a matter of seconds. Tracking inventory and manufacturing processes becomes time-consuming and, in some cases, impossible. By providing real-time data for smart forecasting, shop floor scheduling, and routing, the IIoT makes mass customisation easier.

Improved safety:

The IIoT contributes to a safer workplace. When combined with wearable devices, the IIoT provides for the monitoring of workers’ health and potentially dangerous actions. IIoT addresses safety issues in potentially dangerous locations in addition to protecting worker safety. For example, in the oil and gas industry, IIoT is used to trace gas leaks as they travel through the pipeline network.

For a variety of reasons, analysts believe manufacturing will continue to lead until at least 2022. IoT has the potential to usher in a new industrial revolution – Industry 4.0 – by enabling manufacturers to implement digital transformation in a variety of ways, including automation, visibility, customer-centricity, and shorter time to market.

Let's take a look at the top six IoT usage, applications, and benefits in the manufacturing industry.

Quality Control:

Manufacturers make an item, their quality control unit tests it, and they expect to identify and correct problems before the product reaches the market in a normal reactive quality control procedure.

 

With thermal and video sensors gathering entire product data throughout the life cycle, IoT makes this procedure proactive. The items can also be evaluated at each stage of production to ensure that their characteristics are within standards. Furthermore, production equipment instrumentation and monitoring assist quality control employees in determining if and when equipment calibration deviates from standard settings – such inaccuracies must be detected early to minimise product misalignment.

 

Manufacturers may be more confident in spotting quality problems at the source thanks to IoT’s support in monitoring both equipment settings and the outcomes of each manufacturing step. As a result, incremental improvements can be made over time.

Inventory Management:

Inventory management becomes more effective and seamless when IoT is combined with radio frequency identification (RFID). Every item in the inventory has an RFID tag with a unique identification number (UID) that contains encoded digital data. RFID readers may read the tags, and the information retrieved is sent to the cloud for processing.

 

The job of industrial IoT in this case is to turn the data collected by RFID readers into actionable business insights. It keeps track of inventory items’ whereabouts, statuses, and movements along the supply chain, and provides users with comparable outcomes.

 

IoT-based inventory management architecture, for example, can determine the volume of raw materials necessary for a forthcoming manufacturing cycle based on data on inventory quantity and location.

 

IoT-based inventory management’s outputs can be used in a variety of ways. If any individual inventory item is missing, the system can send users an alert and warn them when the materials need to be replenished.

 

IoT provides supply chain managers with cross-channel visibility, including a realistic estimate of available materials, fresh material arrivals, and work-in-progress, allowing them to optimise shared costs across the value chain.

 

Manufacturers can better prepare to receive raw materials by measuring their pace of movement and traffic flow. This reduces handling times and allows for more efficient processing of those materials in the manufacturing process.

Predictive Maintenance:

Manufacturers have always used a time-based approach to planning their machinery and equipment maintenance plans. However, according to a research by the ARC group, just 18 percent of equipment fails due to age, whereas 82 percent of failures happen at random. This demonstrates that a time-based approach is inefficient and, in the long run, costly.

 

Using industrial IoT and data science for predictive maintenance, manufacturers can avoid ineffective maintenance routines. They can monitor the equipment’s operational environment and do analytics utilising associated data in the cloud to analyse the actual wear and tear by employing IoT sensors (on the equipment). Prompt service and repair results in increased maintenance efficiency, better job allocation to field workers, and less downtime, as well as significant cost savings.

 

Steel mills, for example, have many furnaces with temperature control provided by water cooling panels. Any leaks in the panels can cause safety concerns as well as a loss of productivity. Plant managers can utilise IoT-based predictive maintenance to strategically identify anomalies and conduct a root cause study to avoid machine failures and production delays.

More Safety in Operations:

IoT improves the safety of personnel, equipment, and operations in a manufacturing plant when used in conjunction with big data analytics. It can be used to measure key performance indicators (KPIs) such as employee absences, vehicle mishaps, machinery damage, and any other occurrences that disrupt routine operations.

 

In this instance, IoT wearables are crucial solutions. Employees who use these devices can also have their health parameters tracked continually while working in industries and fields. It allows them to assess their exposure to process fumes, stress levels, heart rate, fatigue, and overall movement. The information gathered can help companies improve their compliance structure and cut their insurance prices.

 

IoT can raise security risks if there are a variety of providers and security standards, as well as a lack of standardisation. Manufacturers who use IoT must connect their operations technologies and IT infrastructure to avoid their assets being attacked by malicious attackers. They should also plan their BYOD policy to ensure that personal gadgets do not interfere with industrial activities. In this case, cloud and IoT services provider support is important.

Smart Metering:

Smart metres that can monitor water, electric power, and other fuels have also been brought to the manufacturing sector, utilities, and other businesses thanks to the Internet of Things. IoT sensors enable businesses to assess specific consumption and adopt best practises for more efficient resource allocation.

Manufacturers can thoroughly analyse the findings of smart metre monitoring using customizable end-user dashboards provided by IoT services vendors. They can also analyse the costs, efficiencies, and carbon impact of various resources in order to better incorporate them into their manufacturing processes.

Smart Packaging:

For producers, smart packaging that directly uses materials with embedded interconnectivity gives advanced IoT benefits. One of the most important features of smart packaging is that it allows consumers to interact with it while also generating data that can be used to better manage a product. Smart packaging might include culinary videos, beauty tips, and other demos to illustrate how to use the product.

Sensors, QR codes, and augmented reality/virtual reality/mixed reality choices all function together in different ways with IoT and packaging. The goal is to provide added value to customers while simultaneously collecting data (through smart tracking) to improve operations and efficiency.

We design IoT solutions for a variety of industrial operations at Aagnia Technologies. Our team works together to install bespoke tools, linked devices, and connected processes that help clients get the most out of emerging technology.

Call us at +91 75400 07581 to learn more about our IoT solutions for manufacturers.

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IoT Solutions for Smart Elevators, Commercial & Industrial Lift, and Home Lifts

IOT Solutions for elevators

IoT Solutions for Smart Elevators, Commercial & Industrial Lift, and Home Lifts:

The Advantages of Implementing an IoT commercial and Industrial Elevator.

IoT technologies provide elevator operators with new ways to observe, analyze, and respond more efficiently. There are numerous operational and user benefits to IoT elevator solutions, including:

  • Increasing security
  • Simplifying time-consuming and cost-effective upgrades.
  • Users’ wait times are being reduced.
  • Providing emergency assistance.
  • Troubleshooting from a remote location.
  • Providing energy-efficient systems.

Smart elevator technology can help you streamline operations.

One of the primary applications of IoT in smart lift solutions, similar to building management systems, is to monitor operating conditions. Large amounts of data can be collected and used to streamline operations by utilizing technology such as an elevator sensor. The following types of information can be gathered:

  • Load weighing.
  • Critical safety circuits.
  • The number of daily trips.
  • Waiting times.
  • Peak-hour trends
  • Ride analysis (accelerations, jerking, vibrations).

Connecting a smart elevator system for predictive maintenance:

The most significant time-saving capability of IoT-connected elevator systems is the ability to improve the maintenance schedule. Devices that monitor changes in operating conditions, such as heat or noise, can be used to predict when the elevator needs to be serviced. Elevator maintenance is typically performed on a monthly basis and on a calendar basis. Mechanical parts and elevator sensors, on the other hand, do not always follow a set schedule, and failures can occur infrequently and unexpectedly. Building and elevator operators can take a proactive approach with IoT by using remote-monitoring devices, which allows repairs and maintenance to be planned and performed during off-peak hours, reducing user disruptions.

Operators of connected elevator monitoring systems can also detect issues before they become a major issue, reducing downtime and disruptions caused by a broken elevator.

Because of the integration of smart equipment in building management systems, the deployment of IoT elevator technology will continue to gain traction in the coming years. Aagnia Technologies’ IoT solutions are completely customizable to meet the needs of your specific project.

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