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Quality Anomaly Monitoring and Comprehensive Diagnosis Framework for Plant-wide Process Industries with Spatio-Temporal Coordination

Process industries have the characteristics of plant-wide process, multiple system levels and complex working modes, which is a hot research direction in the field of process monitoring and fault diagnosis. First, this paper classifies and summarizes the quality anomaly monitoring and diagnosis technology. Second, a quality anomaly monitoring and comprehensive diagnosis framework is proposed by combining quantitative and qualitative ideas, which provides a set of technology and solutions for quality monitoring of plant-wide process industries. Compared with the existing methods, the proposed framework includes quality anomaly monitoring, assessment and diagnosis, which can effectively solve the comprehensive fault diagnosis problems of process industries. It can effectively reduce or avoid the occurrence of faults, ensure the quality of products, and improve the production efficiency and safety of enterprises.