Electric power equipment state monitoring and evaluation and command system

Abstract

The invention relates to the technical field of electric power equipment operation and maintenance management, and particularly relates to an electric power equipment state monitoring and evaluation and command system which comprises a panoramic data integration module, an equipment state health archive module, an equipment state monitoring module, an equipment operation and maintenance managementand control module, a data mining analysis module and a production command driving cabin module. The electric power equipment state monitoring and evaluation and command system has the advantages that access control, secondary data processing, unified modeling and storage can be carried out on accessed panoramic data by the panoramic data integration module, so that accurate and reliable data access can be guaranteed, and the electric power equipment state monitoring and evaluation and command system is excellent in retrieval and computational performance; data support service can be providedto follow-up equipment state monitoring and evaluation and production command by the equipment state health archive module; electric power equipment states can be monitored, evaluated and analyzed bythe equipment state monitoring module, the equipment operation and maintenance management and control module and the data mining analysis module on the basis of stored equipment state data, and accordingly intelligent support can be provided to accurately mastering equipment states, risk information and safety operation.

Description

technical field [0001] The present invention relates to the technical field of power equipment operation and maintenance management, and more specifically, relates to a power equipment state monitoring, evaluation and command system. Background technique [0002] With the continuous expansion of the scale of the power grid, the number of power transmission and transformation equipment is also increasing rapidly, and the requirements for power supply reliability are increasing. Power equipment status data includes production operation and maintenance, load operation, online monitoring, meteorological environment and other data. These data come from different systems and have different structures. With the advancement of electric power informatization, the scale and types of power equipment status data are also growing rapidly. [0003] Traditional data management and processing models are difficult to meet the needs of complex data sources, huge data scale, diverse data stru...

AI Technical Summary

Problems solved by technology

[0003] Traditional data management and processing models are difficult to meet the needs of complex data sources, huge data scale, diverse data structures, and changing data applications, and the power equipment status control and operation and maintenance management systems based on traditional data management and processing models are also faced with data Problems such as poor quality foundation, difficulty in cross-business data application, and slow data service response lead to unsatisfactory actual application effect

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