Customer value of big data analytics:

Effective analysis of accurate process data and data cleaning ETL based on process knowledge and process rules lays an effective statistical foundation for performance indicators.
Data modeling based on process experience provides effective equipment diagnosis and process indicator event alarms, enabling predictable predictive maintenance or management control.
Based on the industrial intelligent learning of the statistical distribution model of process indicators, it can effectively realize the optimization of soft measurement and system control model, and improve the control ability.
Accurate calculations are completed on KPI indicators such as personnel efficiency, equipment OEE, quantitative SPC evaluation of product and material quality, and unit energy consumption indicators.
Provides optimized control model parameters superior to traditional PID and sequential control, enabling edge control to realize complex model control and reduce production costs.
Realize more accurate production cost calculation and effectively guide cost control.