Intelligent monitoring method and system for wastewater treatment in recycling of waste lead-acid batteries

Abstract

The application provides an intelligent monitoring method and system for wastewater treatment of waste lead-acid battery recycling, and relates to the technical fields of industrial wastewater treatment and intelligent monitoring. An abnormal state code is configured, process abnormal event is recorded, and a process abnormal cause factor set is generated; according to a cause-effect correlation mapping table, a cause factor correlation set is generated for wastewater index abnormal representation; abnormal events are dynamically captured within a wastewater treatment batch cycle, a time sequence set is generated, and a sliding time window is used to analyze a dense time period interval; the correlation of abnormal representations with time overlap is calibrated, a process coupling degree evaluation value is calculated by using a dynamic time warping algorithm; based on the coupling degree, the correlation pairs are determined to be retained, an mutual information model is constructed by using intersection and union processing, cause factors are screened to form new process abnormal events, the homologous correlation degrees of the new process abnormal events with existing events are analyzed, and the new process abnormal events are classified and stored. The application can automatically analyze the potential correlation of multi-link abnormality, realize cause screening of abnormal events, and homologous classification.

Images