Thermal power station metal equipment big data analysis and reliability evaluation management system

Abstract

The invention provides a thermal power station metal equipment big data analysis and reliability evaluation management system. The system comprises a metal equipment database module, a metal equipmentperformance analysis module, an announcement module, a learning module, an authority management module and a document processing module. The system can record full life cycle data of equipment or a unit, can provide comparison data for equipment of the same type, can improve supervision technical capability and technical service capability, accumulate big data, and provide a data basis for further big data mining and analysis.

Description

technical field [0001] The invention belongs to the technical field of information management, and in particular relates to a large data analysis and reliability evaluation management system for thermal power station metal equipment. Background technique [0002] Thermal power plant boilers, pressure vessels, and pressure pipes belong to the "Special Equipment Safety Supervision Regulations", "TSG G0001-2012 Boiler Safety Technical Supervision Regulations", "TSG 21-2016 Stationary Pressure Vessel Safety Technical Supervision Regulations", which are related to life safety, Hazardous equipment. At the same time, "TSG 21-2016 Stationary Pressure Vessel Safety Technology Supervision Regulations", "DL 612-2017 Power Industry Boiler Pressure Vessel Supervision Regulations", "DL 647-2004 Power Plant Boiler Pressure Vessel Inspection Regulations", "DL / T 438- Standards such as the 2016 Metal Technology Supervision Regulations for Thermal Power Plants also put forward requirements fo...

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Problems solved by technology

[0004] Although there are many researches and applications on equipment management and defect management systems in China, for many power generation companies, by comprehensively utilizing the information of supervised components of multiple power generation companies and applying them to technical supervision and technical service work, and using comprehensive There is no research on the information analysis results to guide the maintenance and management of other power plant equipment

The literature that has been studied shows that most of the information systems developed are based on the B / S system, or based on SQL database development. It is difficult to deal with unstructured data, and the efficiency of retrieval or management cannot meet the needs of this project.

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