The mạng internet of Things (Io
T) has completely transformed how we work and live. It has created a new era of connectivity, where devices and machines can communicate with each other to create a more efficient and productive environment. Io
T has significantly impacted industrial automation, allowing businesses to lớn optimize processes, cut costs, & increase safety và security.

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This article thoroughly explains how Io
T-based automation affects industries and how it might change our operations. In addition, we will examine the benefits, uses, difficulties, and potential future developments of Io
T in industrial automation.

Advantages of Io
T in Industrial automation

The advent of Io
T-based automation in industries has elevated the manufacturing sector in multiple ways. A few of them are discussed below:

Increased Efficiency and Productivity

Using connected equipment and machines that can interact with one another & share data in real time is one of the critical ways the mạng internet of Things (Io
T) has resulted in significant advancements. It enables improved collaboration and coordination between many systems and processes, which leads to quicker & more effective decisions.

Predictive maintenance is one-way Io
T has improved efficiency and production in industrial automation. Machines and equipment can have Io
T sensors added lớn track their performance and predict when they are most likely to break down.

It reduces downtime and guarantees that the machines always operate efficiently by enabling businesses to lớn schedule maintenance và repairs before an issue arises.

Improved decision-making through data analysis

T devices and sensors can collect large amounts of data from machines & processes, which can then be analyzed lớn gain valuable insights và improve decision-making.

T facilitates better decision-making by giving producers real-time access to lớn production data. Companies can immediately identify và address any issues that arise by tracking and analyzing data from machines & devices, which reduces waste và boosts productivity.

Advanced analytics techniques like machine learning and AI can be combined with Io
T data to lớn uncover patterns & insights that would be challenging or impossible khổng lồ spot manually. As a result, businesses are better equipped khổng lồ forecast future demand, optimize production schedules, and find fresh growth prospects.

Reduced downtime & maintenance costs

The installation of Io
T sensors on machinery & equipment allows for performance monitoring & failure prediction. As a result, businesses can plan maintenance và repairs ahead of time rather than wait for a machine khổng lồ malfunction.

Machines are less likely to break down suddenly thanks to this proactive maintenance method, enabling businesses lớn schedule maintenance around their production schedule, minimizing disturbance to lớn their operations.

T also provides remote monitoring và control of equipment, allowing businesses lớn recognize and resolve any concerns even when not on-site. It can help reduce downtime by allowing companies khổng lồ address problems quickly and remotely rather than wait for a technician lớn arrive on-site.

Enhanced Safety & Security

T in industrial automation has also significantly improved safety and security in industries. It has accomplished this, among other things, by offering real-time monitoring and management of equipment và procedures. Companies can identify và handle any possible safety risks before they become an issue by continuously gathering and analyzing device data.

T sensors can also monitor environmental factors like temperature, humidity, và gas concentrations and notify operators if anything changes that could be dangerous. By doing so, accidents can be avoided, and workers' health và safety can be preserved.

The improvements in industrial automation that Io
T has been able khổng lồ bring about are a direct result of the implementation of technologies or technical methodologies such as

Predictive Maintenance

Predictive maintenance is a methodology that tracks the quality of equipment in real-time and spots possible problems before they arise. It does this by using sensors, smart devices, & analytics. As a result, the ability to vày maintenance proactively rather than reactively can help reduce maintenance expenditures and equipment downtime. Predictive maintenance can also be helpful when a failure of complicated or necessary equipment could have negative consequences.

Smart Manufacturing

Intelligent manufacturing refers khổng lồ Io
T technologies lớn optimize và improve manufacturing processes. Io
T connectivity solutions installed at the factory màn chơi transmit data from sensors và machines khổng lồ the cloud. These data are examined, merged with relevant information, & then shared with related personnel with authorization.

This data flow is made possible by Io
T technology, which uses both wired và wireless communication. It also makes it possible to lớn monitor & manage processes remotely và instantly alter production schedules in real time as needed.

Supply Chain Management

T technologies can improve supply chain management by providing real-time visibility into inventory levels, shipping status, và other logistics information. For example, Io
T devices and sensors can be placed on products and shipping containers to track their location & status in real-time.

It allows companies khổng lồ monitor the progress of their products throughout the supply chain, from manufacturer to end customer. It enables companies to lớn quickly & efficiently identify and address any issues, such as delays or stockouts.

T can also be used to improve logistics & transportation management. For example, Io
T-enabled sensors on vehicles can collect data on location, fuel consumption, and other factors, which can be used to lớn optimize routes, reduce fuel consumption, & improve delivery times.

Quality control & inspection

T is used in various ways to lớn improve chất lượng control and inspection in industrial automation. One of the main ways is using connected devices and sensors to collect data in real-time. This data can be analyzed khổng lồ identify any issues or defects in the manufacturing process and to ensure that products meet the required quality standards.

One example of how Io
T is used in quality control is using machine vision systems. These systems use cameras and image processing algorithms khổng lồ inspect products for defects, such as cracks, scratches, or misalignment. The data collected by these systems can be analyzed to identify patterns và trends, which can then be used to lớn improve the manufacturing process và reduce defects.

Additionally, Io
T can improve communication và coordination between different stakeholders in the manufacturing process, such as operators, engineers, and quality control personnel. As a result, it allows for faster và more accurate decision-making & increased efficiency in the manufacturing process.

Advancements in sensor technology

Sensors are essential for collecting data và enabling communication between devices và systems; therefore, the advancement in sensor technology leads lớn more accurate & reliable data collection và communication.

One of the most notable advancements in sensor technology is the development of ultra-low nguồn sensors, which can operate for long periods without needing to be recharged or replaced. In addition, it allows for the deployment of sensors in remote và hard-to-reach locations, such as in industrial machinery or the field.

Another advancement in sensor technology is the development of miniature sensors, which are smaller in size and can be integrated into devices và machines more easily. It allows for more efficient and cost-effective deployment of sensors, as well as the ability khổng lồ place them in tight spaces và hard-to-reach locations where traditional sensors might not fit.

Additionally, the development of multi-sensor devices, which can collect multiple types of data, such as temperature, humidity, pressure, and more, is also considered an advancement in sensor technology. It allows for more comprehensive monitoring and analysis of machines và processes, providing valuable insights and enabling better decision-making.

Advancements in the development of AI and Machine Learning

AI and ML technologies enable the analysis of large amounts of data collected by Io
T devices, leading khổng lồ new insights và improved decision-making. Another advancement in AI & ML is the development of deep learning algorithms, which enable the analysis of unstructured data, such as images và audio.

It can be used to perform image recognition & natural language processing. In addition, it can be used in industrial automation for quality control & predictive maintenance tasks, allowing for faster and faultless outcomes.

AI và ML help us with explainable algorithms. Therefore, it provides transparency & interpretability for decision-making, allowing us to lớn understand the insights better. Furthermore, it enables the integration of AI and ML into the decision-making process of industrial automation systems.

Furthermore, the development of distributed AI và ML systems that enable the collaboration of multiple devices and systems allows for better scalability and robustness of the systems. It enables the integration of artificial intelligence into the entire industrial automation process.

Edge computing and fog computing

Edge computing refers lớn the ability to process and analyze data at the edge of a network. It means you can analyze data where it is generated rather than in a centralized location. As a result, it allows for faster processing và decision-making, as data does not need to be transmitted khổng lồ a central location before being analyzed.

Edge computing is particularly useful in industrial automation as it enables real-time analysis of data from machines & devices, which can be used for tasks such as predictive maintenance and chất lượng control.

Fog computing or fog networking is an extension of edge computing. It analyses data between the edge và the cloud or at the edge of a network. It allows for even faster processing & decision-making, as data can be analyzed before it reaches the cloud.

Fog computing is particularly useful in industrial automation as it enables real-time data analysis from machines và devices, even in remote & hard-to-reach locations.

Furthermore, Edge computing và fog computing enable the scalability & robustness of Io
T systems in industrial automation. The data processing is distributed among multiple devices và systems, reducing the dependence on a centralized location và allowing for the integration of Io
T systems into the entire industrial automation process.

5G and other high-speed communication technologies

5G, the fifth generation of điện thoại networks, offers faster data transmission speeds, lower latency, & improved reliability compared lớn previous generations of mobile networks. In addition, it allows for more efficient và effective communication between devices và systems. It enables the deployment of more Io
T devices and sensors, leading lớn more comprehensive monitoring và analysis of machines & processes.

Other high-speed communication technologies such as Li-Fi (light-based communication), Zigbee, & Lo
WAN offer faster & more reliable data transmission than traditional communication technologies such as Wi
Fi and Bluetooth. These technologies are designed for low-power và low-data rate applications.

They are particularly suitable for industrial automation, as they can communicate with devices and machines in remote & hard-to-reach locations and enable deploying more Io
T devices và sensors.

The internet of Things (Io
T) is a powerful công nghệ that has the potential lớn revolutionize industrial automation. By providing real-time monitoring and control of machines & processes, collecting & analyzing data, and improving decision-making, Io
T can increase efficiency, productivity, safety, & security in industrial automation.

Advancements in sensor technology, AI và ML, Edge computing and fog computing, and 5G and other high-speed communication technologies enable smoother Io
T integration into industrial automation. It leads to lớn even more comprehensive monitoring and analysis of machines và processes and enables quick judgements for processes.

However, as with any new technology, there are also implications. Ethical concerns such as data privacy, security, & job displacement must be addressed. But with the right approach & regulations, these concerns can be mitigated.

Overall, Io
T in industrial automation has the potential to lớn bring significant benefits to lớn companies và society as a whole. Therefore, it is essential to continue investing in research và development khổng lồ fully realize Io
T's potential in industrial automation. By embracing this technology, companies can improve their operations, increase productivity and efficiency, and ultimately create a more promising future.

It might be hard to imagine what Industrial Io
T and industry 4.0 can bởi for you if you haven’t experienced it yet. That’s why we gathered 7 practical applications of IIo
T in the manufacturing, energy, robotics and building industry.

What is Industrial Io

The Industrial mạng internet of Things (IIo
T) usually refers lớn interconnected sensors, controllers, & other devices networked together in an industrial setting. This connectivity allows for remote access và monitoring, but more importantly, it allows for data acquisition & collection, exchange và analysis of different data sources.

Industrial Io
T has enormous potential và benefits for improving productivity, reducing costs và increasing efficiency. IIo
T solutions are characterised by their low cost and fast implementation. 

Processing line in industrial automation

T in industrial automation

Industrial automation is the use of data-driven control systems, such as industrial computers, PLC controllers or robots, that reduces the need for human kích hoạt by operating industrial processes or machinery. The industrial internet of things plays an important role in industrial automation as we see the number of Io
T applications increase. 

T helps in industrial automation lớn create systems that are effective, affordable and flexible khổng lồ customer needs. Connecting industrial equipment (e.g. PLC, robots, actuators, sensors) khổng lồ the cloud - and sharing real-time data - can drastically impact the efficiency, production và uptime and helps to develop next generation machines.

Getting started with Io
T is only the basis for improvement. The next step is khổng lồ fast-forward in the Industrial Io
T model. Lớn learn more about the full potential of IIo
T from machine manufacturers perspective read this trăng tròn pages rich trắng paper.

The Essentials of Industrial Io

The essentials of an Industrial Io
T solution

Typically IIo
T solutions include:

Industrial ‘things’ – Internet-enabled devices like PLCs, IPCs, Human Machine Interfaces (HMI), robots, vision cameras and sensors.Connectivity – Connecting ’things’ to the internet via 4G/cellular, Wi-Fi or ethernet connections.Data – Data, & how it is collected, stored & processed using edge devices, is central khổng lồ the value of IIo
T.A cloud platform – Key lớn IIo
T is a centralised and secure cloud platform for hosting the data và enabling remote servicesAnalytics dashboard ­– For analysing data and monitoring machines.Intelligence và action – The collected data must be analysed by either humans or smart functions to send out alarms or triggers khổng lồ any other system.


7 practical Industrial Io
T examples for daily use

In the following practical IIo
T examples we’ve listed some industrial internet of things applications which are used in different industrial automation situations. Let’s find out how Io
T is used in your industry.

1. Remotely solve PLC / robot problems if a custom-built machine is down

It happens in every factory: the emergency button is pressed accidentally, without anyone realising it. Because there’s no defect, engineers initially break their heads to locate the cause of the problem. In the meantime, the clock is running & valuable time and costs are being wasted due to the downtime. If the HMI doesn"t tell you the problem, a phone call to your machine builder is the next logical step.

With industrial remote access, the machine builder can access the machine from their office, view the log files on the PLC or robot & reset the machine, if necessary. It only takes a few minutes lớn find the problem và saves a time-consuming service trip to the factory site.

Case study: How SEM Automazione helps customers khổng lồ reduce downtime with remote service

Siemens S7 1200 connected khổng lồ IXrouter for remote access và data collection

2. Prevent the label printer from running out of paper

In the logistics sector or packaging industry, it’s fatal when a machine runs out of labels. Lớn prevent this situation, service technicians or operators need khổng lồ be notified well in advance before this happens.

The sensor’s data counter triggers an alarm, allowing the operator to take immediate kích hoạt to prevent stagnation. A push notification or e-mail alert on their smartphone, or a vibration of their smartwatch, ensures that the responsible people receive the message on time. In other industries such alarm notifications can be life-saving.

Learn more: Why IIo
T Is a game Changer for the Packaging Industry


3. Publish new functionalities on the HMI screen for customers abroad

When a machine is delivered và your customer uses it in his daily operations, he may need extra functionality lớn make his job even easier. An expansion of their control panel with a new function, such as an on/off switch or a percentage counter for the pump, can easily be fixed by your programmer. Then the HMI software needs khổng lồ be updated and tested to lớn launch this new functionality.

HMI software updates can easily be applied remotely via secure network access. All you have to bởi vì is push the new software from your máy tính over the internet, and you’ve made your customer happy once again. Using a web-based VNC (Virtual Network Connection), you and your customer can view và test the HMI functionality in the IIo
T platform or on a điện thoại device.

Remote access and control of HMI panels from a packaging machine using VNC in's IIo
T platform

4. Predict machine maintenance and analyse upfront which part needs to lớn be replaced

Industrial machines, or energy products such as solar panels, require occasional maintenance. Sometimes it"s easy lớn predict when maintenance needs khổng lồ happen – for example when you know the degradation per a certain number of production hours or rotations. In these scenarios, it makes sense to implement predictive maintenance và generate reliable information khổng lồ make decisions for driving performance.

Start by using the variables (counters) of your PLC software & log this data to lớn the cloud via industrial protocols like OPC-UA, Modbus, Siemens S7, Ethernet IP etc. Then start with data visualisation in an IIo
T dashboard (live or historical) or configure an email reminder when the counter reaches a maintenance limit.

On-site machine maintenance visits are more effective if you know the faults before you leave lớn go on your trip. By analysing potential problems upfront via remote access and the online diagnostics tool of the device’s website server, you’re more likely khổng lồ turn up with the right spare parts during the lifecycle of your installation.

Learn more: 4 types of information you can extract from machine data
Case study: Real-time machine kpi hiệu quả chiến dịch dashboards for both the service team & customers

T dashboard example with KPI's for power & yield of a solar panel, configured in Cloud

5. Analyse & optimize industrial robot actions

Industrial robots such as UR+ robots make repetitive work easy. Remote access và IIo
T features are used to remotely change robot program actions for changeovers or khổng lồ get insight into the log files & data of the robot for troubleshooting. In this đoạn phim you’ll see a project where an IIo
T platform with an industrial robot was being used.

Additionally, clip analysis may help khổng lồ improve the actions of a certain robot. Accessing the IP camera recordings or live streaming makes improvements easier. Quickly and easily phối up a VPN connection for full network access to the robot"s controller or use AR / VR technologies lượt thích the Hololens to lớn inspect the circumstances và surroundings.

Case study: How Assis-tec offers innovative Industry 4.0 solutions for CNC machinery

Remote analysis & control of Universal Robots using IXrouter & Cloud platform

6. Live monitoring of full garbage containers in smart cities

No more useless driving around the city to kiểm tra for full containers. Only take action on trash containers that send out an alarm that they need lớn be emptied.

Make use of the power nguồn of your sensors và make data accessible in a cloud environment. Then visualise this data in a monitoring dashboard và send out a notification to the garbage collector when the container reaches a threshold. All in the name of efficiency!

Learn more: How lớn make your machine data more valuable
Case study: Remote monitoring of livestock with điện thoại cảm ứng alarms

Remote monitoring of livestock using smartphone alarms

7. Manage data from multiple buildings for central monitoring in your BMS system

In building automation, IIo
T is used to monitor và control the energy consumption, heating, lighting, fire protection & other systems for multiple locations from a central location. To lớn get a good overview of the building’s HVAC system’s status (Heating, Ventilation và Air Conditioning), access to lớn data from remote installations is needed.

Edge connectivity helps to lớn transfer the real-time machine data to a central cloud application, using BACnet or Modbus protocols. For custom applications, you can use the rise of xuất hiện cloud systems. They usually provide an API to lớn collect data at specific intervals & transfer it lớn your Building Automation System (BMS) for central monitoring.

Case study: How GSE Group monitors their smart buildings remotely


Looking for more inspiration for Io
T projects and applications of industrial Io
T in the industrial sector? kiểm tra our IIo
T case studies.

Building Management System of Green Building Control with edge connectivity

Conclusion & route lớn further develop your Io
T journey

You’ve been shown some examples of Io
T projects in industrial automation. The main advantages of using Io
T in industrial automation is to lớn find bottlenecks in the process, reduce cycle times, prevent downtime & increase productivity.

The use of an Industrial Io
T platform, lượt thích Cloud, will help machine builders with corrective maintenance, condition-based monitoring và predictive maintenance of industrial installations & drives added value and new revenue streams based on data. 

To help OEMs / machine builders in their quest for a successful application of IIo
T within the industrial automation sector, we have compiled a trắng paper describing the route & steps from remote access to "smart machines". In this 20-page white paper you will find concrete tips and even more practical examples.



About offers a user-friendly Industrial Io
T solution khổng lồ machine builders called Cloud which is a plug & play, scalable and secure IIo
T solution. The Cloud and IXrouter (integrated edge gateway / VPN router) can handle any industrial application & offers machine builders reliable & secure machine access, data acquisition, dashboard & alarm tools in one single platform.

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To help better understand the capabilities of Cloud, we’ve created a product tour. In this tour you can explore & test the VPN functionality, access HMI panels and view logged PLC data in live & historical dashboards.