Power station boiler remote on-line diagnosis system and on-line diagnosis method thereof

Abstract

The invention relates to a power station boiler remote on-line diagnosis system and an on-line diagnosis method thereof. The application of the computer and the artificial intelligence technology havegreat development, and the fault diagnosis of the power station boiler tends to develop intellectually, and the traditional way of relying on the manual detection has not met the requirements of theoperation of the power system equipment. The power station boiler remote on-line diagnosis system comprises a field measurement and control local area network and a remote diagnosis center, the remotediagnosis center comprises a remote diagnosis central local area network (1), a database server (2) and a diagnosis server (3), a Web server (4) and a data storage server (5) which are connected witheach other through a remote diagnosis central local area network, the diagnosis server is connected with a group of diagnosis modules (6), and the data storage server is connected with the central storage disk array (7), and the remote diagnosis center local area network and the data forwarding server (8) of the field measurement and control local area network is connected with the Internet through a firewall and a VPN router. The method is applied to remote on-line diagnosis of a power station boiler.

Description

Technical field: [0001] The invention relates to a remote on-line diagnosis system and an on-line diagnosis method for a power station boiler. Background technique: [0002] With the development of modern sensing technology, the continuous emergence of high-performance collectors and the development of computer technology, the continuous improvement of signal processing technology and fault diagnosis technology, in addition, computer applications and artificial intelligence technology have achieved significant development, power plant boiler fault diagnosis With the trend of intelligent development, the traditional way of relying on manual detection can no longer meet the requirements of power system equipment operation. Specifically, there are some problems in the current operation and maintenance management of boiler equipment in power plants. Regular maintenance is generally used, which requires a large number of operation and maintenance personnel, resulting in waste of ...

AI Technical Summary

Problems solved by technology

[0002] With the development of modern sensing technology, the continuous emergence of high-performance collectors and the development of computer technology, the continuous improvement of signal processing technology and fault diagnosis technology, in addition, computer applications and artificial intelligence technology have achieved significant development, power plant boiler fault diagnosis Trending towards intelligent development, the traditional way of relying on manual detection can no longer meet the requirements of power system equipment operation

Specifically, there are some problems in the current operation and maintenance management of boiler equipment in power plants. Regular maintenance is generally used, which requires a large number of operation and maintenance personnel, resulting in waste of maintenance costs and resources. , relying more on the experience and judgment of operating personnel, lacking stronger technical support, and lacking long-term trend analysis of health status

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