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Method and device for generating dynamic alarm threshold value of parameters of refining process

A process parameter and parameter technology, applied in electrical digital data processing, special data processing applications, manufacturing computing systems, etc., can solve the problems of easily reducing the sensitivity of abnormal monitoring, false alarms, and missing alarms.

Active Publication Date: 2016-06-29
CHINA UNIV OF PETROLEUM (BEIJING)
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Problems solved by technology

[0005] Embodiments of the present invention provide a method and device for generating dynamic alarm thresholds of refining process parameters to solve the problem that current static model parameter threshold methods are used, and parameter alarm thresholds are manually adjusted, which is likely to cause false alarms or missed alarms, and is easy to reduce The problem of sensitivity of anomaly detection

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  • Method and device for generating dynamic alarm threshold value of parameters of refining process
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  • Method and device for generating dynamic alarm threshold value of parameters of refining process

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Embodiment Construction

[0093] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0094] Such as figure 1 As shown, the embodiment of the present invention provides a method for generating a dynamic alarm threshold of a refining process parameter, including:

[0095] Step 101. Obtain historical parameter data of refining process production equipment.

[0096] Step 102. Determine the sliding window length and step size corresponding to the historical data of the parameter.

[0097] Step 103: Determine the initial historical training data o...

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Abstract

The invention provides a method and a device for generating a dynamic alarm threshold value of parameters of a refining process, and relates to the technical field of petroleum refining fault monitoring. The method comprises the following steps of obtaining historic data of the parameters of a refining process production device; determining initial historic training data of the parameters according to the length of a sliding window and the step length, and updating historic training data for once every other step length time from the initial historic training data; forming normalized historic training data; carrying out kernel density estimation on each parameter, and generating a probability density function of the parameters; determining a probability distribution function of each parameter; determining an alarm threshold value corresponding to each parameter according to the probability distribution function of each parameter and a preset alarm threshold confidence degree. According to the method for generating the dynamic alarm threshold value of the parameters of the refining process, provided by the invention, the dynamic alarm threshold value of the parameters can be obtained, and the problems that because a static model parameter threshold value method is adopted at present, and the alarm threshold value of the parameters is artificially regulated, false alarm or leakage alarm can be easily caused, and the sensitivity of abnormal monitoring can be easily reduced can be solved.

Description

technical field [0001] The invention relates to the technical field of petroleum refining fault monitoring, in particular to a method and device for generating dynamic alarm thresholds of refining process parameters. Background technique [0002] At present, as a typical process industry, the refining process is complex and has a large number and variety of production equipment. In the refining process, once a failure occurs, it will affect other devices beyond the refining process. It may even cause some major accidents. Therefore, it is extremely important to monitor the production process in the refining process. [0003] At present, most refining and chemical industries use the static model parameter threshold method to monitor the production process, and the method based on the static model parameter threshold is theoretically based on the following assumption: that is, the modeling data basically covers all normal refining conditions In the data space, the refinery ...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00Y02P90/30
Inventor 胡瑾秋张来斌马曦
Owner CHINA UNIV OF PETROLEUM (BEIJING)
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