AIoT Application mainly uses various IoT devices（such as sensors, equipment and devices）to perform data collection and standardize the data in collaboration with personnel inspection and AI data interpretation, then have the central management system（CMS）perform backend management and system analysis operations. 
　

　

•  Real-time monitoring and warning 
  Through sensors, equipment and devices, the system can monitor the operation status of equipment and the operation environment in real-time, such as temperature, pressure and vibration, etc. When any parameter exceeds the threshold value, the system can issue warnings immediately so that the maintenance team can identify potential problems in advance. 

•  Fault prediction and preventive maintenance 
  Through continuous monitoring and data analysis, the system can identify abnormal behavior patterns of the equipment. Based on these patterns, predictive analytics can predict possible faults of the equipment, and realize preventive maintenance from it to reduce the risk of downtime and maximize the availability of production lines. 

•  Product quality monitoring and improvement 
  Through IoT system analysis, factories can monitor the key indexes and quality parameters of production processes continually. If there are any abnormalities, systems can warn in advance so that the production team can adjust the parameters of the production equipment in real-time to make sure the product quality reaches the expected standard and reduce defect rates. 

•  Operation environment optimization 
  IoT system analysis can monitor the various indexes of work environments such as temperature, humidity and air quality, etc. Based on this data, the system can adjust the ambient parameters to create more comfortable and safe working environments, and optimize the ESG index. 

　　
By combining IoT data collection and system analysis, factories can reduce the number of repairs of the equipment, and use equipment maintenance and prediction to increase the utilization rate. IoT system analysis can also help optimize production processes to ensure production quality and further reduce the risk of damages of production interruptions, improving production efficiency and OEE（Overall Equipment Effectiveness）.