Generator set intelligent fault diagnosis analysis and running maintenance operation machine system and power generation field

Abstract

The invention discloses a generator set intelligent fault diagnosis analysis and running maintenance operation machine system, a generator set and a power generation field which contain the same. Thesystem comprises a generator set state monitoring and collecting system, a health state and fault analysis positioning system, a movable maintenance machine device, and a generator set spare product spare part tool library; the generator set state monitoring and collecting system is used for monitoring and collecting data in the operation of unit parts, and transmitting the data to the health state and fault analysis positioning system; the health state and the fault analysis positioning system is used for carrying out fault diagnosis analysis and positioning, and sending a maintenance or fault processing instruction to the movable maintenance machine device; and the movable maintenance machine device acquires articles in the generator set spare product spare part tool library by means ofa guide rail structure of the movable maintenance machine device and a multi-degree-of-freedom mechanical arm, and realize the maintenance and the repairing of the parts in a generator cabin. According to the system, the integral solution of early fault diagnosis and unmanned running maintenance operation is realized, so that the operation of the set is more stable.

Description

technical field [0001] The invention relates to the field of generator set maintenance and repair, in particular to a generator set intelligent fault diagnosis analysis and operation and maintenance operation machine system and a power plant. Background technique [0002] Electric energy is an important energy source for people's daily life, and the safe maintenance and repair of electric equipment is an important means to ensure electric safety. [0003] At present, the daily maintenance and overhaul of generator sets all rely on manual work. Most of the generator sets have a complex environment, and the daily maintenance of the unit cannot be carried out in time; taking wind turbines as an example, maintenance personnel perform dangerous operations such as climbing operations and high-temperature environments during daily maintenance, and there are greater safety risks; Under harsh natural conditions such as snow, personnel are prohibited from performing maintenance opera...

AI Technical Summary

Problems solved by technology

Most of the generator sets have complicated environments, and the daily maintenance of the units cannot be carried out in time; taking wind turbines as an example, maintenance personnel perform dangerous operations such as climbing operations and high-temperature environments during daily maintenance, and there are great safety risks; Under harsh natural conditions such as snow, personnel are prohibited from performing maintenance operations

As for generator sets using tidal current energy or tidal energy, due to the complex environment in which they are located, there are many inconveniences in manual maintenance

[0004] Chinese invention patent, CN107563069, which discloses a fault intelligent diagnosis method for wind turbines, which uses fault tree and neural network technology to solve the problem of multi-fault diagnosis and analysis of complex faults of wind turbines under incomplete information. The location of the cause of the fault can provide a certain basis for manual maintenance and repair, but for the daily maintenance and repair of the generator set, it still needs to be carried out manually based on the location of the cause of the fault.

[0005] It can be seen that the current generator set maintenance method does not carry out all-round and all-weather maintenance and repair of the generator set

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