What is the key role of the Industrial Internet of Things?

The concept of predictive maintenance can be traced back to the 1990s. The indispensable and lack of computing resources of the sensor made the implementation difficulty at the time. The introduction of the Internet of Things, machine learning, cloud computing and big data analysis makes predictive maintenance become mainstream. In particular, the Internet of Things is essential for predictive maintenance. It can convert the physical movement of the machine into digital signals, such as vibration, temperature and conductivity to process and analyze.

As research data shows that the financial impact of planning to stop work is very serious. The report found that due to the stoppage time outside the plan, large factories lost 323 production hours each year. The average cost of income loss, restarting production lines, financial fines and employees’ idle time reached $ 523,000 per hour.

The traditional methods of using tools, materials, lists, and clipboards are inefficient. In the era of the Internet of Things, you can focus on solving problems when problems occur, rather than looking for symptoms.

Based on the predictive maintenance of the Internet of Things, the data required to understand equipment and environmental conditions can be investigated by appropriate personnel. It saves the time required for manual inspection equipment, record equipment and management solutions.

Therefore, when the temperature of the storage unit is too high, it can be adjusted by remote control. If the vibration and heating of the device point to a problem, you can use data to determine whether it needs to be maintained immediately or later. By eliminating the tediousness of detection equipment, the Internet of Things monitoring saves time for more meaningful and unable to automate.

IoT monitoring case
Petroleum and natural gas industry
The machine used for drilling runs at different speeds and vibrations, and uses different power. It is important to maintain their demand for reducing maintenance, expensive replacement or planning to stop. The Internet of Things monitoring is very suitable for the performance and status of oil drilling machinery at the same time at the same time.

Another application of the Internet of Things is to monitor the state of the gas pump. Continuous detection of leakage of air pumps can reduce losses and reduce the risk of fire risk, materials or personnel, and environmental impact. The Internet of Things sensor can track the flow, vibration, power and other variables of the air pump to check the leak. Predicted maintenance solutions can send alert to technicians when the performance is lower than the benchmark. The collected data can be used to run the simulation of the fault scene, effectively perform future maintenance, and improve the performance of the pump.

manufacturing
In the field of manufacturing, IoT monitoring can bring multiple benefits. Sensor automation equipment data collection allows real -time tracking assets to plan to immediately interfere with or future maintenance activities, and reports low efficiency, otherwise these situations may be hidden and affect productivity.

Due to the frequent stops, the production of parts, materials or products is insufficient, which may lead to interruption of the supply chain. Predictive maintenance is a solution to reduce the time to stop the outbound stop and prevent adverse effects on the supply chain and industrial distribution.

Forecast maintenance based on the Internet of Things can be:

Reduce the time to stop the plan
Reduce machine maintenance costs
Strengthen workers’ safety
Time to shorten the maintenance machine
Use the equipment better
Increase the return on investment in equipment
The data of IoT devices can also be integrated with labor solutions to formulate workers’ timetable and reduce their exposure under dangerous conditions. As a passive security solution, the Internet of Things can help improve workers’ confidence and morale.

When does not use the Internet of Things
Forecasting equipment failure is an organizational ability that can help reduce stop time and avoid its consequences. However, this may not be needed by all assets. For example, it may be hoped that the key asset investment sensor that needs real -time monitoring and regularly maintain non -critical assets. Predictive maintenance can be combined with preventive maintenance, and priority restoration is preferred by allocating spare parts or based on key asset plans.

Some assets or maintenance will require manual interaction and control. Excessive dependence of sensor data and tool analysis insights are risky. A better way is to determine the best maintenance strategy for each asset in the enterprise.

IoT devices may open the door for network attacks. Appropriate encryption, certification, and access control can prevent the IoT security threat. If there is not enough IoT security measures, it is difficult to weigh between lower stops and attacks that may lead to network paralysis.

How to turn to predictive maintenance based on the Internet of Things
To successfully achieve predictive maintenance based on the Internet of Things, please invest in high -quality equipment compatible with its own industrial machines, such as the Internet of Things sensors and relays. If you can customize the Internet of Things device according to demand, you should let it go. These devices can be combined to make their power consumption lower, lighter weight, more convenient use, and more cost -effective installation.

Employees need to receive training in the use of IoT devices and read and explain data. For simpler Internet of Things applications, professional knowledge of IoT technology may not be required. However, it is necessary to implement the Internet of Things forecasting and operation and operating complex analysis on a large scale. Persons with algorithms/statistics and data science skills are suitable for implementing prediction and maintenance.

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Steering from reaction or preventive maintenance to predictive maintenance is a major change that needs to educate employees. Explain the benefits of the Internet of Things to the employees and alleviate how the new maintenance system will affect employees. These efforts will make them easier to accept updates and better ways to improve equipment efficiency and their own productivity.