Power plant equipment management method and system based on multi-information fusion
A multi-information fusion and equipment management technology, applied in the field of power plant equipment management methods and systems based on multi-information fusion, can solve problems such as poor predictability, information and data fusion, poor interaction, and insufficient understanding of equipment association and induced relationship
Pending Publication Date: 2021-07-02
GUODIAN DADU RIVER POWER ENG
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Problems solved by technology
[0003] At present, in the process of pursuing intelligent equipment for traditional power production enterprises on the market, there are still some shortcomings in the intelligent management of equipment. On the one hand, there are information islands in various equipment inspection business systems. Information and data fusion and interaction are poor, and there is insufficient understanding of the correlation and induced relationship between defects caused by the intricate relationship between equipment, and more single-point defects are handled separately. Typical complex giant systems are prone to failures when, where, and under what circumstances, and cannot quantitatively describe the internal laws, and cannot prevent various equipment accidents in advance
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[0045] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.
[0046] The equipment in the power plant is numerous and complex, and all kinds of information data cannot be collected and fused uniformly, and it is impossible to analyze the internal connection when the power plant equipment fails and to predict the failure of other equipment when a certain power plant equipment fails.
[0047] Therefore, this application proposes a power plant equipment management method based on multi-information fusion, which is used to predict the failure of other powe...
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The invention discloses a power plant management method and system based on multi-information fusion, and the method comprises the steps: collecting the historical multi-source data of power plant equipment, carrying out the preprocessing of the historical multi-source data, obtaining the preparation data, building a fault model based on the preparation data, and carrying out the secondary processing of the preparation data. The secondary processing comprises depiction processing, relevance processing and predictive processing, the fault model is trained through the secondary data, and fault early warning is carried out based on the trained fault model and the current state of the power plant equipment, so that information from different sources is effectively collected and fused, and various equipment accidents can be prevented in advance.
Description
technical field [0001] The present application relates to the field of equipment management, and more specifically, relates to a method and system for managing power plant equipment based on multi-information fusion. Background technique [0002] With the development of modern technology, as well as the rapid changes in technologies such as the Internet of Things, big data, artificial intelligence, and cloud computing, the equipment of power plants is also showing development trends such as automation, intelligence, and environmental protection. Massive industrial data is migrating to the cloud. In addition Big data analysis and data mining run through the process of equipment production and operation, which puts forward higher requirements for the intelligent management and control of power enterprise equipment. [0003] At present, in the process of pursuing intelligent equipment for traditional power production enterprises on the market, there are still some shortcomings ...
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IPC IPC(8): G06K9/62G06Q10/10G06Q50/06
CPCG06Q10/103G06Q50/06G06F18/24155Y04S10/50
Inventor 万欣李博代鸿元谢凤祥
Owner GUODIAN DADU RIVER POWER ENG