Intelligent control method for adjustable weir of multi-target complex drainage system based on machine learning

Abstract

The invention provides an intelligent control method for an adjustable weir of a multi-target complex drainage system based on machine learning. The invention relates to a discriminant state element of a control object, a mahalanobis distance of a total and a sample, a prior probability and a posterior probability function structure, and takes a misjudgment rate as an output feedback solver. On the basis of machine learning discriminant analysis calculation, sensitive data of key state factors such as the initial water level of a pipeline, the water level flow of key points, the water level of a forebay of a pump station and the water level of the most unfavorable point are selected, and auxiliary decision making is carried out on key steps of drainage system control through four machine learning discriminant methods including a Bayesian method, linear discrimination, linear diagonal and quadratic discrimination. According to the method, required external data are simple and easy to collect in real time, training samples can be continuously expanded and accumulated, and the closer the training samples are to the whole, the better the judgment effect is. An effective method is provided for improving the intelligent control level of the adjustable weir of the complex drainage system, and the overall operation level of the complex drainage system can be improved.

Description

technical field [0001] The invention belongs to the field of municipal engineering and relates to a control method for a drainage system, in particular to an intelligent control method for an adjustable weir based on a multi-objective complex drainage system. Background technique [0002] In recent years, urban waterlogging prevention and treatment of black and odorous rivers have increasingly become the focus of social attention. The corresponding drainage system upgrades and the construction of river runoff pollution control projects have continued to speed up. Engineering design related to pollution control. The operation control of the drainage system after the transformation is more complicated, and generally involves multiple goals. The first is the flood control goal, which mainly aims to improve the safety of the drainage system, achieve standard improvement and waterlogging prevention; the second is the pollution control goal, mainly to reduce initial rainwater poll...

AI Technical Summary

Problems solved by technology

According to the model calculation, if the weir drop time is too early, the regulation and storage system may be filled and closed prematurely, and cannot continue to participate in peak shaving, resulting in water accumulation in the system

In addition, the discharge of water in the shallow pipe network into the regulation and storage system before the runoff peak may cause the municipal pumps to fail to fully start, and the drainage capacity of the shallow system cannot be fully utilized. Unable to participate in peak shaving in time

Since the drainage capacity of the municipal pump is not enough to cope with the rain peak, if the shallow pipe network is full at this time and the inflow weir is not lowered in time, the flow through the weir will be insufficient, which will lead to water accumulation in the system

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