Pump station operation abnormality diagnosis method and system based on artificial intelligence

A technology of abnormal operation and artificial intelligence, applied in the general control system, control/regulation system, comprehensive factory control, etc., can solve the problems of effective deployment and control, data monitoring, and low comprehensiveness of problem handling, so as to improve comprehensiveness and accuracy high effect

Active Publication Date: 2018-07-31
杭州亚大自动化有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] As a result, the PLC gives feedback to the problem by collecting the signal output by the sensor and directly sending out a fault signal, but it cannot know that when the forebay liquid level is higher than the maximum liquid level, the number of pumps in the pumping station that are turned on is greater than the preset start-up The number is still less than the preset start-up number. Therefore, the pumping station at this stage cannot effectively deploy and control the associated equipment in the same pumping station, and the data between the adjacent pumping stations of the upstream pumping station and the downstream pumping station, resulting in data monitoring. , The comprehensiveness of problem handling is low, so there are certain improvements

Method used

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  • Pump station operation abnormality diagnosis method and system based on artificial intelligence
  • Pump station operation abnormality diagnosis method and system based on artificial intelligence
  • Pump station operation abnormality diagnosis method and system based on artificial intelligence

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Embodiment 1

[0075] Based on the above-mentioned inventive thinking, such as image 3 As shown, an artificial intelligence-based method for diagnosing abnormal pumping station operation includes the following steps:

[0076] S100. Obtain the operation monitoring data of the current pumping station, and classify and store the operation monitoring data according to the data type, wherein the operation monitoring data carries operation information;

[0077] S200, creating an abnormal event specific to the data type, where the abnormal event carries an abnormal tag and abnormal information;

[0078] S300, scan the operation monitoring data according to the abnormal event in the corresponding data type, extract and compare the operation information in the operation monitoring data with the abnormal information, and judge whether the operation information covers the abnormal information;

[0079] S400, if yes, send out a warning message.

[0080] According to the technical solution defined in ...

Embodiment 2

[0114] An artificial intelligence-based diagnostic system for abnormal operation of pumping stations, such as figure 1 As shown, it is applied to the background management platform. The background management platform is set in the central control room. The central control room is provided with a display screen connected to the background management platform. The background management platform includes an acquisition module, an establishment module, a scanning module and a warning module.

[0115] The obtaining module is used to obtain the operation monitoring data of the current pumping station, and classify and store the operation monitoring data according to the data type, wherein the operation monitoring data carries operation information;

[0116] The establishment module is used to establish an abnormal event for a data type, and the abnormal event carries an abnormal label and abnormal information;

[0117] The scanning module is used to scan the operation monitoring dat...

Embodiment 3

[0134] This system performs intelligent secondary analysis on the pump station operation signals collected by the pump station automatic control system, diagnoses the abnormal operation of the pump station, and realizes the alarm and monitoring of the abnormal operation of the intelligent pump station.

[0135] The system structure is as Figure 8 As shown, the pump station operation signals collected by the pump station automatic control system include the operation status of process equipment, power parameters, liquid level of each pool, inflow and outflow, etc. And according to the point information dictionary, the data extracted from the automatic control system signal and other data sources are converted into the modeled pumping station operation data expressed by the pumping station information model.

[0136] Based on the pumping station pipe network information model, based on the dynamic detection data of the automatic control system, supported by the hydraulic flow m...

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Abstract

The invention discloses a pump station operation abnormality diagnosis method and system based on artificial intelligence, and the main points of the technical scheme are that the method comprises thefollowing steps: obtaining the operation monitoring data of a current pump station, carrying out the classification storage of the operation monitoring data according to the type of the data, whereinthe operation monitoring data comprises operation data; building an abnormality event for a data type, wherein the abnormality event has an abnormal label and abnormality information; carrying out the scanning of the operation monitoring data in the corresponding data type according to the abnormality event, extracting the operation information in the operation monitoring data, comparing the operation information with the abnormality information, and judging whether the operation information comprises the abnormality information or not: transmitting alarm information if the operation information comprises the abnormality information. Through the building of the abnormality event, the obtained operation monitoring data of the pump station is scanned, and the real-time analysis of the operation monitoring data and the time sequence correlation analysis of the operation monitoring data based on multidimensional historical data are carried out, thereby achieving the complete deployment and control of the operation monitoring data of the pump station.

Description

technical field [0001] The invention relates to the technical field of pumping station monitoring, in particular to an artificial intelligence-based method and system for diagnosing abnormal pumping station operation. Background technique [0002] Pumping stations include sewage pumping stations, rainwater pumping stations and river water pumping stations. Urban flood control and drainage, urban water environment, deep-water wells and drainage facilities all face the requirement of using modern information technology to further improve facilities. [0003] At present, most of the pumping stations in operation in my country were built in the 1960s and 1970s. Due to the limitations of technology, capital and equipment conditions at that time, most of the pumping station equipment still adopts the traditional manual management and operation methods. For this reason, industrial automation products such as programmable logic controller PLC, sensors, man-machine interface and ind...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418G01D21/02
CPCG01D21/02G05B19/4183G05B19/41845G05B2219/2612Y02P90/02
Inventor 谢和坤周卫东谢顶浪裴庆非陆增友
Owner 杭州亚大自动化有限公司
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