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Outlier analysis-based device anomaly detection method and system

A technology for outlier detection and equipment abnormality, applied in general control systems, control/regulation systems, testing water, etc., can solve problems such as the influence of professional knowledge, difficulty in judging abnormal equipment status in time, and lack of equipment abnormality alarm measures. Achieve the effect of improving detection accuracy and real-time performance

Pending Publication Date: 2017-11-28
北京易沃特科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, the research on sewage treatment control technology mainly focuses on closed-loop control, among which PID control can better realize the control of water plant equipment, but its adaptability to the environment is poor, and there is a lack of equipment abnormal alarm measures, and at the same time, it is affected by field operators. Influenced by the level of professional knowledge, it is difficult to judge the abnormal state of the equipment in time

Method used

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  • Outlier analysis-based device anomaly detection method and system
  • Outlier analysis-based device anomaly detection method and system
  • Outlier analysis-based device anomaly detection method and system

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Embodiment 1

[0042] figure 1 It shows a schematic flowchart of the outlier point analysis-based device anomaly detection method provided by Embodiment 1 of the present invention, as shown in figure 1 Shown, method of the present invention comprises:

[0043] Step S1, collecting a plurality of monitoring data during the sewage treatment process.

[0044] Wherein, the plurality of monitoring data includes but not limited to: equipment monitoring data and water quality monitoring data, wherein the equipment monitoring data includes various operating parameter data such as equipment running time, voltage and current during operation, and water quality monitoring data includes all Contains data such as the type and concentration of various substances, and the pH of the water.

[0045] Wherein, the equipment anomaly detection method described in the present invention is mainly applicable to various commonly used equipment in sewage treatment plants, but its specific application scenarios are n...

Embodiment 2

[0071] Corresponding to the embodiments of the present invention, Figure 5 A schematic structural diagram of a device anomaly detection system based on outlier point analysis provided by an embodiment of the present invention is shown. Such as Figure 5 As shown, the system includes: a data collection module 101 , an outlier detection module 102 , an outlier processing module 103 , an equipment detection module 104 , and a feedback alarm module 105 . Wherein, the data collection module 101 is connected with the outlier detection module 102, and the outlier detection module 102 is connected with the outlier processing module 103, and the device detection of the outlier processing module 103 The module 104 is connected, and the device detection module 104 is connected with the feedback alarm module 105 .

[0072] The data collection module 101 is configured to collect a plurality of monitoring data in the sewage treatment process; wherein, the plurality of monitoring data inc...

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Abstract

The present invention discloses an outlier analysis-based device anomaly detection method and system. The method includes the following steps that: a plurality of monitoring data in a sewage treatment process are collected; the plurality of monitoring data are detected, so that outliers in the monitoring data and the distribution status of the outliers are obtained; and the outliers are screened and replaced according to the distribution status of the outliers; the anomaly of a device is determined according to the distribution status of the replaced outliers; and the abnormal status on the device is fed back. According to the outlier analysis-based device anomaly detection method and system of the invention, the anomalies of the monitoring data are sequentially analyzed, so that the outliers in the monitoring data can be obtained; and the distribution status of the outliers is further analyzed, so that the anomaly of the device can be detected, and therefore, detection accuracy and real-time performance can be improved.

Description

technical field [0001] The invention relates to the technical field of equipment control, in particular to a method and system for detecting equipment abnormality. Background technique [0002] The normal operation of sewage treatment equipment is the key to ensure process stability and effluent quality up to standard. The "Water Pollution Prevention and Control Action Plan" ("Water Ten Measures") issued by the State Council in 2015 put forward higher requirements for sewage treatment. It is imperative to promote the development and application of sewage treatment equipment, management and control technologies around the water quality of sewage treatment. At present, the research on sewage treatment control technology mainly focuses on closed-loop control, among which PID control can better realize the control of water plant equipment, but its adaptability to the environment is poor, and there is a lack of equipment abnormal alarm measures, and at the same time, it is affec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/05G01N33/18
CPCG05B19/058G01N33/18G05B2219/14006
Inventor 方芳胡泽琛李守东康伟梁猛
Owner 北京易沃特科技有限公司
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