Intelligent control method for adjustable weir of multi-target complex drainage system based on machine learning
A drainage system and machine learning technology, applied in the field of municipal engineering, can solve the problems that the drainage capacity of the shallow system cannot be fully utilized, the inflow weir cannot participate in peak shaving in time, and the municipal pump cannot be fully started, etc., to achieve easy real-time collection, Improve the overall operation level and judge the effect of good effect
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[0111] In this embodiment, a certain drainage system is taken as an example. The water level value and flow value of the adjustable weir position pipeline of the drainage system, the water level of the forebay of the pumping station in the drainage system, and the product of the most unfavorable point in the area are collected through liquid level meters, flow meters, and cameras. For water conditions, the following variables are selected as the sample matrix (the last data is assumed to be unknown), the operation category is 1, indicating that under the same row of monitoring data, weir operation should be carried out, and the operation category is 0, indicating that under the same row of monitoring data, Weir operations should not be performed.
[0112] Table 1: Truth table of drainage system inflow point flow and weir operation
[0113]
[0114] Since the dimension and order of magnitude of the variables are inconsistent, some are water level and some are flow, the data ...
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