This solution is based on full-process data collection, integrating process parameters, control settings, and equipment status across plants or plant clusters in real time to build a dynamic monitoring network. Supported by professional algorithmic models, it performs multidimensional analysis of data to enable intelligent identification and dynamic tracking of treatment processes and facilities. Through simulation, prediction, and optimized control, it establishes a closed-loop management cycle of “monitoring-analysis-decision-execution,” driving the transition from “manual” to “intelligent” operations.