1、Intelligent transformation of equipment

Installation of sensor network: real-time monitoring of vibration, temperature, current, etc

Equipment interconnection: industrial protocol conversion and data acquisition

Edge computing node deployment: local real-time data processing

2、 Intelligent monitoring and predictive maintenance

Real time equipment status monitoring and visualization

AI based fault prediction model

Maintain the automatic generation and distribution system of work orders

3、 Production optimization system

Intelligent scheduling and scheduling algorithm

Energy efficiency analysis and optimization suggestions

Automatic adjustment and optimization of process parameters

4、 Quality intelligent control

Online quality inspection system

Automatic Quality Exception Alert

Quality traceability and root cause analysis