A method and system for monitoring abnormal working conditions based on similarity of multivariable data segments
A technology of abnormal working conditions and similarity, applied in general control systems, control/regulation systems, program control, etc., to achieve the effect of convenient application, overcoming the difficulty of parameter determination, and intuitive understanding
Active Publication Date: 2020-07-24
HUANENG POWER INT CO LTD DEZHOU POWER PLANT +1
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[0005] The purpose of the implementation of this description is to provide a method for monitoring abnormal working conditions based on the similarity of multivariate data segments. The method is based on the similarity of multivariate time series. Difficult practical problems have the advantages of convenient application and intuitive understanding, and are of great significance for production process monitoring
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[0032] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
[0033] It should be noted that the terminology used herein is only for describing specific embodiments, and is not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.
[0034] Implementation example one
[0035] This implementation example discloses a method for monitoring abnormal working cond...
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The invention discloses an abnormal condition monitoring method and system based on multivariate data segment similarity. The method comprises an offline design step: obtaining a historical data segment of a multivariate system, which runs well and has no fault; extracting similarity between multivariate historical data segments with fixed window width, and using the similarity as feature information; carrying out dimension reduction on the feature information through a principal component analysis method to determine a principal component variable, and constructing a monitoring variable and determining a threshold value thereof at a given confidence level; and an online monitoring step: based on the data similarity characteristics in a multivariate real-time window, calculating the valueof the constructed monitoring variable, and when the value of the monitoring variable exceeds the threshold value obtained in the offline design step, triggering alarm information. The method can overcome the problem of parameter determination difficulty of existing methods, has the advantages of convenient application and visual understanding and the like, and is of great significance for monitoring of the production process.
Description
technical field [0001] The disclosure relates to the technical field of production process monitoring in the process industry, in particular to a method and system for monitoring abnormal working conditions based on the similarity of multivariable data segments. Background technique [0002] With the progress and development of science and technology, the scale of modern production process is increasing day by day, and the complexity of the whole production process system is also increasing day by day, which also leads to greater losses caused by production process accidents. In view of this, current technologies related to production process monitoring have received extensive attention. The main purpose of industrial production process monitoring is to discover abnormal working conditions and faults in the production process, and present the monitoring results to production operators in a timely manner through sound, light, text, etc., so that production operators can take ...
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IPC IPC(8): G05B19/042
Inventor 曲广浩郭阳吴水龙刘书杰陈矿刘树昌张建强
Owner HUANENG POWER INT CO LTD DEZHOU POWER PLANT