Industrial Internet of things (IOT) is a network of interconnected intelligent devices called industrial IOT devices. The industrial Internet of things works by collecting, storing and analyzing data. The insights from the analysis data are then used by the organization to improve production processes and perform predictive maintenance. In addition, the industrial Internet of things allows organizations to monitor the performance of their production facilities. Generally, the industrial Internet of things system includes the following components:
- Industrial Internet of things devices that can sense, collect, store and convey information about the production process
- Including communication infrastructure connecting industrial Internet of things devices, machines and embedded computer systems
- Applications that leverage all the data collected from industrial IOT devices
- Industrial computers can store and analyze data collected from devices, machines and industrial Internet of things devices
In general, the purpose of using this system is to utilize data generated by industrial Internet of things devices, sensors and machines to generate operational insights, thereby improving production processes, performing predictive maintenance, and allowing industry operators to monitor their performance and production processes.
Industries benefiting from the Internet of things
Automobile industry is one of the industries that benefit from industrial Internet of things. The automotive industry relies heavily on the use of industrial Internet of things devices to manufacture its vehicles. For example, if you step into a car factory, you will immediately notice the large robots used to assemble vehicles and vehicle parts. In addition, these devices are equipped with industrial Internet of things sensors and cameras that can be used to guide the machine and check parts and vehicles for any errors.
Another industry that benefits from the industrial Internet of things is agriculture. Many farmers are deploying IOT devices and sensors in the field to monitor plant growth, soil moisture, the number of light plants accepted, and more variables that allow farmers to fine tune the growth process to achieve the maximum possible harvest. crops. This is an example of an industrial IOT sensor that works with edge gateways and industrial computers.
The third largest industry benefiting from the industrial Internet of things is the oil and gas industry. Many oil production and processing facilities rely on industrial computers and huge sensor and Actuator Networks to ensure the smooth operation of oil production and production facilities. For example, a sensor is placed in a pipe to detect oil flow to ensure that it flows at a certain rate. In addition, sensors are often used to measure oil stocks. When the stock is full, the sensor will warn nearby vehicles to empty the tank. In addition, industrial IOT sensors can be used to monitor pumps and alert maintenance teams of any problems with the pumps, which can be quickly addressed to reduce downtime.
Overall, the ability to remotely monitor and control assets and infrastructure in industrial environments such as automotive production, healthcare, agriculture, and transportation provides an invaluable advantage for businesses and organizations in these industries. This is because the ability to collect real-time data and take immediate action is essential to the growth of these industries. This is because the industrial Internet of things can be used to detect errors, fix them, and improve the day-to-day operations of organizations.
The advantages of using industrial Internet of things are as follows:
Better manufacturing – industrial IOT devices can make manufacturing better by reducing human errors and improving the overall efficiency of the manufacturing process. This can save a lot of money and time for the organization. In other words, organizations can use the data collected from industrial Internet of things devices and sensors to improve the quality of their products and create more simplified production processes.
Predictive maintenance – the industrial Internet of things supports predictive maintenance, because real-time data generated by industrial Internet of things devices and sensors can be used to predict when components may fail, thus reminding factory operators and maintenance personnel to maintain or replace parts before they fail. This can save organizations a lot of money because it reduces harmful downtime. Predictive maintenance reduces harmful downtime because maintenance teams can usually perform maintenance at convenient times, rather than waiting for components to fail at inconvenient times and be forced to stop production when replacing machines or components.
Asset tracking – the industrial Internet of things allows commodity producers and others to track their assets. For example, a mining company with mining vehicles deployed to extract precious metals from underground mines can equip its vehicles with sensors and other industrial Internet of things devices to remotely monitor vehicles and track their status at any time. Using technology tracking assets enables mining operators to track the maintenance of vehicles, how many hours they have been running, and by whom. It is very difficult and time-consuming to track mining vehicles without using industrial Internet of things devices. This will require manual recording of all this data for each machine. On the other hand, the use of industrial Internet of things makes the process instant, efficient and very easy. In addition,
Faster, better decision making – the industrial Internet of things supports faster, better decision making because data is collected, processed, and analyzed in real time on edge devices, enabling organizations to make decisions very quickly based on data. This is because real-time data analysis enables enterprises to better understand their business and use the data provided by industrial IOT sensors to improve their business processes and efficiency.
Better supply chain visibility – when it comes to the supply chain, there is usually uncertainty in order fulfillment. Industrial Internet of things devices can be used to collect information and closely track the movement of goods throughout the supply chain, thus minimizing this uncertainty. For example, pallets loaded onto trucks can be equipped with trackers to transmit the exact location of the goods, allowing organizations to predict the arrival date of the goods with extreme accuracy. This type of data capture provides organizations with real-time inventory visibility, enabling them to plan shipments accordingly. This helps organizations and businesses avoid shortages. In addition, industrial IOT devices can help organizations manage inventory.
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