Power station boiler diagnosis expert system and fault diagnosis method thereof

Abstract

The invention relates to a power station boiler diagnosis expert system and a fault diagnosis method thereof and aims to solve the problems that currently the operation fault causes of a thermal powerplant are not visual, the number of the parameters and state variables monitored by the system of the thermal power plant can reach hundreds and thousands, and fault position finding from the thousands of measuring parameters, state variables and alarm information is quite difficult. The power station boiler diagnosis expert system comprises a DCS data collecting system module which is mounted ona boiler unit and used for collecting boiler parameters and is characterized in that the DCS data collecting system module is connected with a real-time database system module, the real-time databasesystem module is connected with an overlimit alarm module, the overlimit alarm module is connected with a fault diagnosis module, and the fault diagnosis module is connected with a diagnosis knowledge database module, a fault symptom database module, a knowledge database updating module, a fault predicting diagnosis module and a user interface module. The power station boiler diagnosis expert system is applicable to power station boiler diagnosis.

Description

Technical field: [0001] The invention relates to a power plant boiler diagnosis expert system and a fault diagnosis method thereof. Background technique: [0002] At present, the diagnosis of operating faults in thermal power plants mainly depends on the analysis of some observed parameters during the operation of the equipment by the operators, and the explanation of the causes of the faults based on experience. Therefore, the correctness of the fault diagnosis largely depends on the experience of the operators. judge. However, some fault causes are not very intuitive, and the parameters and state variables monitored by the system can reach hundreds or even thousands. It can be said that it is necessary to judge the location of the fault from thousands of measurement parameters, state variables and alarm information. very difficult. There are many factors that affect the furnace condition of the boiler, and the relationship between the factors is also very complicated. It...

AI Technical Summary

Problems solved by technology

However, some fault causes are not very intuitive, and the parameters and state variables monitored by the system can reach hundreds or even thousands. It can be said that it is necessary to judge the location of the fault from thousands of measurement parameters, state variables and alarm information. very difficult

There are many factors that affect the condition of the boiler, and the relationship between the factors is also very complicated. It is very difficult to accurately describe these uncertain factors.

At present, we can only judge whether the boiler is running normally, and we cannot make further judgments on the abnormal condition of the boiler.

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