Optimization of indeterminate pressure leakage regulation and control in drainage networks based on attenuated hydroacoustic signal recognition algorithm

The current water supply and drainage pipe network coverage monitoring node deployment is generally single point coverage, and the monitoring area is small, resulting in an increase in the drop value of the detection pressure. For this reason, the optimization of regulation and control of water supply and drainage pipe network leakage under variable pressure based on the identification algorithm of attenuated underwater acoustic signal is proposed. Based on the current measurement, the multi-level method is adopted to expand the monitoring area, and the multi-level deployment of water supply and drainage pipe network covers the monitoring nodes to capture the leakage abnormal signal and regulate the fuzzy delimitation of coverage. Based on this, an optimization model for the regulation and control of water supply and drainage pipe network leakage under variable pressure is constructed by identifying and calculating the attenuated underwater acoustic signal, and the adaptive balance adjustment method is adopted to realize the optimization of scheduling. The test results show that compared with the sensitive design pipeline pressure regulation optimization detection Fluent water pipeline optimization scheduling method, the attenuation underwater acoustic signal identification algorithm of this design, the pipe network uncertain pressure leakage control optimization method, the final detection pressure drop value is relatively high, which shows that the design of the scheduling optimization method has high coverage and stability, the scheduling results are significantly optimized, and further reliable practical verification.