Steam turbine oil product online monitoring and analyzing system and method for nuclear power

Abstract

The invention discloses a steam turbine oil product online monitoring and analyzing system and method for nuclear power. The system comprises an oil product online monitoring cabinet, a DCS system anda monitoring center, wherein the oil product online monitoring cabinet is used for making an analysis test on the lubricating oil of a steam turbine oil tank so as to generate steam turbine lubricating oil product online monitoring data. The DCS system is used for sending the steam turbine lubricating oil product online monitoring data to the monitoring center. The monitoring center comprises a basic data analysis module, an early warning module and a fault diagnosis module, wherein the basic data analysis module is used for conducting calculation and analysis on the steam turbine lubricatingoil product online monitoring data. The early warning module is used for monitoring results from the basic data analysis module, and when the steam turbine lubricating oil product online monitoring data is abnormal, the early warning module can generate alarm information. The fault diagnosis module is used for generating a preliminary diagnosis result through using a fault tree according to abnormal monitoring data. According to the online monitoring and analyzing system and method, the improved risk is small, abnormal parameters can be timely informed, and the primary diagnosis result can beaccurately provided.

Description

technical field [0001] The invention relates to the technical field of nuclear power plants, in particular to an online monitoring and analysis system and method for steam turbine oil used in nuclear power plants. Background technique [0002] Hydraulic oil and lubricating oil (collectively referred to as oil products) are the lifeblood of industrial production, especially mechanical equipment. The oil condition determines the operating efficiency, reliability and service life of mechanical equipment. Through long-term practice, people have realized that parameters such as solid particle size in oil, water content and working temperature are the main factors that cause changes in oil quality, and 70-80% of equipment accidents are related to oil pollution; oil pollution is not only serious It affects the normal operation of lubrication and hydraulic equipment, and causes a lot of human waste and economic loss. Oil pollution not only leads to the deterioration of the performa...

AI Technical Summary

Problems solved by technology

However, it is still the mainstream to use off-line periodic testing to manage oil products in power generation companies, which leads to the inability to manage certain failure modes with short P-F cycles and has a great impact

[0004] In recent years, with the development of infrared spectroscopy technology, parameters such as particle size and viscosity in oil products can be monitored online, but the probe and its auxiliary systems are relatively complicated, and it is difficult to implement on-site. For steam turbines that are directly related to power generation of devices are high risk, so app promotion is not ideal

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