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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.

Active Publication Date: 2020-07-10
NAT ENG RES CENT OF DREDGING TECH & EQUIP
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AI Technical Summary

Problems solved by technology

[0004] When the domestic sewage treatment facilities are in normal operation, some of the small-sized garbage that cannot be handled by the grille will enter and accumulate in the sewage lift pump, causing the sewage lift pump to be blocked or even seriously malfunctioned
In this regard, the existing monitoring platform for domestic sewage treatment facilities can only monitor data or simple status, and cannot conduct in-depth mining of monitoring data. Therefore, it is impossible to monitor and identify the initial pump blockage status, and it is difficult to guarantee the effectiveness and efficiency of facility operation. The efficiency of operation and maintenance work is also low, which increases the cost of labor and energy consumption. At the same time, the discharge of substandard water pollutes rural surface water

Method used

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  • Abnormity identification method and monitoring platform for domestic sewage treatment facility
  • Abnormity identification method and monitoring platform for domestic sewage treatment facility
  • Abnormity identification method and monitoring platform for domestic sewage treatment facility

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Embodiment Construction

[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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Abstract

The invention discloses an abnormity identification method and a monitoring platform for domestic sewage treatment facility. The method comprises the following steps: S1, acquiring current and outletflow data of a sewage lift pump in a normal working state within a specific time, and current and outlet flow data of the sewage lift pump before a fault occurs and within a specific time, so as to construct an abnormity analysis data set, S2, performing clustering analysis on the abnormity analysis data set through a clustering algorithm to obtain an abnormity data cluster; S3, obtaining a numerical boundary according to the exception type data cluster, and constructing an abnormity identification model; S4, collecting current and outlet flow data of the sewage lift pump, and inputting the current and outlet flow data into the abnormality identification model to perform abnormality judgment, and further performing sequential analysis on the abnormal data cluster to obtain a time boundary,and adding the time boundary into the abnormal recognition model. According to the abnormity identification method, comprehensive judgment is carried out on the data in the time boundary, and early warning can be carried out on initial abnormal operation of the sewage treatment facility.

Description

technical field [0001] The invention belongs to the field of domestic sewage treatment facilities, and specifically relates to an abnormal identification method and a monitoring platform for domestic sewage treatment facilities. Background technique [0002] Under the background of comprehensive improvement of water environment, the significance of rural domestic sewage treatment to improve the quality of surface water environment is becoming more and more important. However, rural domestic sewage has the characteristics of unstable water volume, large water quality differences, and high pollutant concentration. It is not convenient to lay out pipe networks and build sewage treatment plants for unified treatment. At present, decentralized sewage treatment facilities are mostly used for treatment. [0003] Decentralized domestic sewage treatment facilities are characterized by a large number, wide distribution, and remote locations. It is impossible to arrange staff to stay a...

Claims

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Application Information

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IPC IPC(8): G06Q10/00G06Q10/06G06K9/62H04L29/08G08B25/08
CPCG06Q10/20G06Q10/067H04L67/12G08B25/08G06F18/23
Inventor 缪袁泉秦海洋周雨淼庞景墩袁德河张红升王洪伟吴易
Owner NAT ENG RES CENT OF DREDGING TECH & EQUIP
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