Abnormity identification method and monitoring platform for domestic sewage treatment facility
A technology of abnormal identification and treatment facilities, applied in data processing applications, character and pattern recognition, transmission systems, etc., can solve the problems of sewage lifting pump blockage, low operation and maintenance work efficiency, increased labor, energy consumption costs, etc.
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[0040] The present invention will be further described below in conjunction with the accompanying drawings.
[0041] Such as figure 1 As shown, a method for identifying abnormalities of domestic sewage treatment facilities in this embodiment includes:
[0042] S1. Obtain the specific time T of the sewage lift pump under normal working conditions c The current, outlet flow data, and the sewage lift pump before a failure, a specific time T c The current and outlet flow data in are used to construct an abnormal analysis data set X={x i |i=1,2,3,…,n}, where, the two-dimensional vector x i =(I i ,Q i ); collect the current and outlet flow data at a frequency of once / minute, and the specific time T c For one week, the number of two-dimensional vectors contained in the abnormality analysis data set is n=7×24×60×2=20160. In the existing abnormal identification methods of domestic sewage treatment facilities, for big data processing, the mainstream processing method is to first ...
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