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Multi-variable monitoring method and system based on Savitzky-Golay filter

A multi-variable and filter technology, applied in the field of automation, can solve problems such as difficulty in operating personnel and inexplicable data characteristics, and achieve the effects of high accuracy, reduction in quantity, and improvement in finiteness.

Inactive Publication Date: 2019-05-21
HUANENG POWER INT CO LTD DEZHOU POWER PLANT +1
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

However, the data features extracted by these methods are usually uninterpretable, so operators in industrial applications usually find it difficult to accept these methods

Method used

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Embodiment Construction

[0027] 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.

[0028] 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.

[0029] The existing qualitative trend analysis method extracts the characteristics of a single process variable over time, such...

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Abstract

The invention discloses a multi-variable monitoring method and system based on a Savitzky-Golay filter. The method comprises: obtaining the historical operation data of a multi-variable system, and marking the normal or abnormal condition of the historical operation data, wherein the historical operation data contains a plurality of process variables indicating a system operation state; using theSavitzky-Golay filter to filter the historical time sequence data of each process variable to obtain a filtered signal amplitude and each order derivative; making the filtered signal amplitude and each order derivative of each process variable form a characteristic space; and training and acquiring a nonlinear support vector machine model based on historical data in the characteristic space so asto determine whether to give an alarm, and realizing multi-variable monitoring. The method has high accuracy, the disadvantage of a traditional univariate alarm threshold design method is overcome, the finiteness of the monitoring system is effectively improved, and the number of false and missing alarms is greatly reduced.

Description

technical field [0001] The present disclosure relates to the field of automation technologies such as industrial process monitoring systems, and in particular to a Savitzky-Golay filter-based multivariable monitoring method and system. Background technique [0002] Industrial process monitoring system is an important part of distributed control system in modern process industry. Due to the improper setting of monitoring variables, the monitoring system often generates a large number of interference alarms, which seriously reduces the performance of the monitoring system and poses a serious threat to the safety and efficiency of production. An important reason for the existence of a large number of disturbing alarms is the lack of correlation between the alarm variable setting and its related variables. At present, most process variables adopt the alarm design method of setting the upper and lower limits of the signal amplitude. When the signal amplitude of the process variab...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B19/418
CPCY02P90/02
Inventor 吴水龙郭阳曲广浩杨虎林陈矿刘树昌张建强
Owner HUANENG POWER INT CO LTD DEZHOU POWER PLANT
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