2results about How to "Solve the traceability problem" patented technology

The application relates to the technical field of data processing, and discloses a rain and sewage mixed connection tracing and spatial positioning method for a drainage pipe network of a micro monitoring station network, which comprises the following steps: according to the flow connection relationship of the drainage pipe network and the layout nodes of the micro monitoring station, the upstream confluence pipe network range of each micro monitoring station is defined, and a unique mapping relationship database between each pipe section and the corresponding multi-level monitoring topological sequence thereof is established; water quality and water level data of the monitoring station are acquired, and an analysis time period is intercepted; based on the space-time propagation correlation attribute of the data between the stations, a target monitoring topological sequence currently producing a response is identified in the mapping relationship database; a homomorphic mapping candidate pipe section set corresponding to the sequence is locked, and a pollutant source discharge inversion model of each candidate pipe section is constructed according to the fluid transport and diffusion mechanism of the pipe network; the model is used to calculate the fitting deviation degree of each candidate pipe section source hypothesis to the monitoring data, and the pipe section with the minimum deviation degree is selected as the positioning result.

The method for extracting evolution law of complex system under multiple fault coupling conditions comprises the following steps: S1, constructing historical state information dataset and collecting incremental data in real time; S2, preprocessing the dataset and the incremental data to obtain multiple sets of normalized data; S3, performing clustering analysis on the multiple sets of normalized data to obtain clustering results, and determining the number N of categories and the centers of the categories; S4, performing fault backtracking on the data in S3 by using the number N of categories and the centers of the categories to obtain multiple evolution clustering results; S5, extracting law from each clustering result to obtain multiple optimized evolution clustering results; S6, performing fault positioning and prediction according to the optimized evolution clustering results; and S7, performing cause analysis according to the correlation between the prediction results and the measured data in S6. The evolution law extraction method solves the problems of fault prediction and tracing under the condition of coupled faults.