Real-time data abnormal diagnosis method for monitoring operation of nuclear power unit

A real-time data, abnormal diagnosis technology, applied in nuclear power generation, power plant safety devices, greenhouse gas reduction, etc., can solve problems such as incompetence, improve safety, facilitate implementation, and avoid model degradation.

Inactive Publication Date: 2017-05-24
ZHEJIANG UNIV
View PDF6 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since such judgment criteria are mostly determined by the dynamic nature of the system being...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Real-time data abnormal diagnosis method for monitoring operation of nuclear power unit
  • Real-time data abnormal diagnosis method for monitoring operation of nuclear power unit

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0038] A number of important variables related to various possible faults are selected to form a real-time data anomaly diagnosis variable set. On this basis, the operation data of the production process of the nuclear power unit is collected online (generally, it needs to be collected continuously for more than 72 hours), and the original training data set X0 for establishing the data abnormality diagnosis model is obtained. The selected abnormal diagnostic variable set mainly includes: power grid load, reactor nuclear power, turbine generator speed, containment pit water level, radioactivity concentration in the air inside the containment vessel, main steam radioactivity, primary circuit coolant pressure, reactor pressure vessel Water level, steam generator pressure, steam generator water level, primary circuit flow rate, primary circuit coolant temperature, pressurizer water level, condenser exhaust radioactivity concentration, pressurizer pressure, 1-5# steam turbine bearin...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a real-time data abnormal diagnosis method for monitoring operation of a nuclear power unit. The method comprises the following steps: selecting a plurality of important variables for monitoring operation of the nuclear power unit to form a real-time data anomaly diagnosis variable set, establishing an abnormal diagnosis model through the principal component analysis and the independent element analysis technology, determining a control limit used for judging whether an abnormal event occurs in the real-time operation data or not through the nuclear density estimation technology; meanwhile setting an automatic updating mechanism of the model to ensure the precision of the model. The method disclosed by the invention overcomes data model 'ill-condition' problems caused by the characteristics of the actual industrial data such as serious correlation and redundancy, random noise, mode variability, intrinsic nonlinearity and the like, 'false alarm' and 'missed alarm' can be effectively avoided. The method is suitable for real-time monitoring of the nuclear power unit and early warning and diagnosis of the ''abnormal event or accident'', and is beneficial to improving the safety of the nuclear power unit.

Description

technical field [0001] The invention relates to the fields of on-site debugging and commercial operation before the start-up of nuclear power units, in particular to a real-time data abnormality diagnosis method for nuclear power unit operation monitoring. Background technique [0002] Unexpected conditions may occur during the operation of nuclear power units, such as tripping, tripping, primary circuit leakage, etc. At this time, it is necessary for the operation, maintenance and debugging staff to analyze the cause of the failure and judge the trend of the failure through the process data. At present, all newly-built nuclear power units in the world have adopted advanced main control room design and fully applied digital instrument control system (DCS for short) to realize centralized monitoring, flexible operation and control and protection functions of the process system of the whole plant. However, as far as the CPR1000 nuclear power unit with independent intellectual...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G21D3/06
CPCG21D3/06Y02E30/00
Inventor 梁军杜丽池清华金鑫刘康玲黄炜平
Owner ZHEJIANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap