A diagnostic method for steam generator leakage in nuclear power plant

Abstract

The invention discloses a method for diagnosing leakage of a steam generator in a nuclear power plant, which includes real-time data collection and extraction of dissolved oxygen in the water phase of the steam generator; real-time data collection and extraction of dissolved oxygen in the vapor phase of the steam generator; Real-time data collection and extraction; determine whether the leakage index of the steam generator is abnormal and the abnormal level; analyze the equipment and cause of the leakage of the steam generator. The invention can diagnose the abnormal leakage from the primary side to the secondary side of the steam generator in the nuclear power plant, determine the fault type and suggest measures to eliminate the fault, thereby improving the safety of the primary and secondary loop systems of the nuclear power plant, thereby ensuring the stability and safety of the entire nuclear power plant run.

Description

technical field [0001] The invention relates to the field of operation safety of steam generator (SG, Steam Generator) equipment in a nuclear power plant, in particular to the diagnosis of leakage from the primary side to the secondary side of the steam generator in the nuclear power plant. Background technique [0002] Nuclear power is a safe, reliable, economical, and environmentally friendly energy source. Many countries are vigorously developing nuclear power; however, nuclear power plants are a complex system that involves multiple professional fields and requires the cooperation of multiple departments to ensure the normal operation of nuclear power plants. ; and with the acceleration of the construction of nuclear power plants, the professional and technical personnel of nuclear power plants are scattered, and the new technical personnel have no practical experience, and the ability to judge the abnormality of nuclear power plants is insufficient, and the guarantee for...

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Problems solved by technology

[0004] In order to ensure the safe operation of nuclear power plants, many achievements have been published, such as neural network, genetic algorithm, fuzzy logic and other methods have been applied in the field of fault and abnormal diagnosis of nuclear power plants, and have achieved certain practical results; and the above methods are due to There is a certain risk of misdiagnosis due to high requirements for basic data, so the application and development of the above methods in the field of nuclear power fault and abnormal diagnosis are subject to certain restrictions

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