Design and Implementation of the Intelligent Management System of Drainage Pipe Network based on WSNs and MGRF-GBDT-AdaBoost

Inadequate overflow capacity caused by functional diseases, such as siltation and scaling in drainage networks, is one of the reasons for the frequent occurrence of urban flooding. In response to the problems of complex maintenance, poor data transmission security, inability to achieve full coverage of siltation diagnosis, and lack of a scientific basis for maintenance decisions in the existing underground pipe network information system, a comprehensive pipe network intelligent management system is created. This system integrates real-time data sensing, encrypted and protected information transmission, accurate flow rate and flow measurement, pipe siltation disease diagnosis, overflow/stagnant water warning, and multi-objective optimization. This integration is achieved by combining IoT, multi-sensor technology, and deep learning in the design. The intelligent management system of the pipeline network is constructed based on the above principles. To instantiate this drainage network intelligent management system, we adopt the technical route of "software + firmware + hardware." This approach allows us to finally realize real-time data query, data security transmission, siltation intelligent diagnosis, overflow/water warning, and optimal maintenance decision-making for each monitoring node of the pipe network. The system is multi-dimensional, covering the whole process and leveraging intelligent technology.