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Turbine operation abnormal data identification method and equipment

A technology of abnormal operation and data identification, applied in the field of data identification, can solve the problems of low accuracy rate of abnormal data identification, achieve the effect of preventing wrong identification and improving accuracy rate

Pending Publication Date: 2022-04-12
STATE GRID HEBEI ENERGY TECH SERVICE CO LTD +2
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Problems solved by technology

[0004] In view of this, the present invention provides a steam turbine operation abnormal data identification method and equipment, aiming to solve the problem of low accuracy of steam turbine operation abnormal data identification

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  • Turbine operation abnormal data identification method and equipment
  • Turbine operation abnormal data identification method and equipment
  • Turbine operation abnormal data identification method and equipment

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Embodiment Construction

[0028] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.

[0029] figure 1 It is an application scene diagram of the steam turbine operation abnormal data identification method provided by the embodiment of the present invention. The steam turbine operation abnormal data identification method provided by the embodiment of the present invention can be applied to this application environment, but is not limited to. like figure 1 As shown, the system incl...

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Abstract

The invention provides a method and equipment for identifying abnormal operation data of a steam turbine, and the method comprises the steps: collecting actual operation data and actual main steam flow of the steam turbine at multiple moments in a target time period, and comparing the collected actual main steam flow with target main steam flow obtained according to the actual operation data; the abnormal degree of multiple recognition algorithms is calculated to determine the comprehensive abnormal degree, and then the abnormal data in the collected actual main steam flow are marked according to the comprehensive abnormal degree, so that wrong recognition caused by a single recognition algorithm can be prevented, the recognition accuracy of the abnormal data is effectively improved, and the running abnormity of the steam turbine is found in time.

Description

technical field [0001] The application belongs to the technical field of data identification, and in particular relates to a method and equipment for identifying abnormal data of steam turbine operation. Background technique [0002] Under the trend of industrial big data, the requirements for process monitoring of steam turbine operation are getting higher and higher, and the engineering data that needs to be processed is also getting larger and larger. Identifying abnormal data during steam turbine operation is a necessary condition to ensure the reliability and effectiveness of steam turbine operation. [0003] At present, the abnormal data identification methods in engineering include: Leyda's rule judgment method, isolated forest identification method, etc. However, the Layda rule is too rough for the identification of abnormal data, and many abnormal data points cannot meet the identification standards, and the identification accuracy is low. However, when there are ...

Claims

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Application Information

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IPC IPC(8): G06F30/17G06F30/27G06F30/28G06N3/08G06F113/08G06F119/08G06F119/14
Inventor 张营李泽敏李浩杨海生闫小沛杜威
Owner STATE GRID HEBEI ENERGY TECH SERVICE CO LTD
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