The invention relates to the technical field of water affair state monitoring and management, in particular to a water affair state online monitoring and management method and
system for intelligent water affair, which forms a quantifiable flow direction judgment basis by establishing node-based pressure grading and flow difference, so that a flow path and an intersection proportion are constrained and unified in a calculation level, and the flow direction judgment accuracy is improved. A dynamic evolution structure with time-dependent features is formed, the recognition capability for
pressure wave propagation and lagging response is enhanced, multi-feature anomaly synchronous recognition is realized through node pressure anomaly frequency, flow difference rate and long and short-
term memory network, random fluctuation false alarms are reduced, the accuracy and stability of anomaly
elimination are improved, and the reliability of the
system is improved. According to the method, the parameter consistency of a constraint coordination
system is ensured, a quantitative stable
distribution pattern is formed through matrix calculation of a balance index and a neighborhood
influence coefficient and an isolated forest, accurate modeling of a dynamic
pipe network is realized, and the
anomaly detection sensitivity, the flow direction prediction precision and the operation stability evaluation reliability are improved.