An alarm root cause diagnosis method based on chemical process knowledge automation

A technology of chemical process and diagnosis method, applied in the direction of program control, comprehensive factory control, instrument, etc., can solve the problems of excessive reliance on manual decision-making, low diagnosis accuracy of root cause of alarm, heavy workload of topology model establishment, etc., and achieve good application Effect, high accuracy, strong decision-making ability

Active Publication Date: 2022-07-12
CHINA UNIV OF PETROLEUM (EAST CHINA) +1
View PDF10 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the above-mentioned problems in the prior art, such as low accuracy rate of alarm root cause diagnosis, excessive reliance on manual decision-making, and heavy workload of topology model establishment, and propose an alarm root cause diagnosis method based on chemical process knowledge automation

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
  • An alarm root cause diagnosis method based on chemical process knowledge automation
  • An alarm root cause diagnosis method based on chemical process knowledge automation
  • An alarm root cause diagnosis method based on chemical process knowledge automation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] see Figure 1-3 , an automatic alarm root cause diagnosis method based on chemical process knowledge, including the following steps: step 1: based on deviation causal time series transfer analysis, use chemical process knowledge to establish process topology, and collect chemical process alarm data and time information; step 2: pass the path Search and judge the causal relationship between variables, and automatically reason about the root cause of the alarm; Step 3: Automatically retrieve the root cause keyword of the alarm through the real-time search engine, retrieve the relevant operation information from the database, and assist the operator in decision-making.

[0030] The establishment of the topology of the deviation causal transmission process: using the improved HAZOP analysis method, the HAZOP analysis table is optimized through the initial cause-intermediate cause-deviation-intermediate consequence-final consequence, and the process that can be recognized by ...

Embodiment 2

[0040] see Figure 4 , and the difference from the first embodiment is that the second embodiment has a decision output, and the decision interface outputs: the alarm root cause is the initial node, and the causal transmission path is presented in the form of a symbolic directed graph. The alarm bit number with the highest alarm priority is marked with emphasis.

[0041] exist Figure 4 , the auxiliary decision-making information intelligently retrieved by the instant search system is displayed on the far left of the image. When the EDC flow low alarm, the VCM cracking furnace temperature high alarm and the VCM cracking furnace tube pressure high alarm occur at the same time, according to the established deviation causal transmission path, the associated alarm identification is automatically performed. There are 3 reasons for the low EDC flow, 2 reasons It is the initial cause, and the other is the intermediate cause. The EDC reactor pressure is low. The system automatically...

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 an automatic alarm root cause diagnosis method based on chemical process knowledge, including process topology establishment of deviation causal transfer, real-time collection of alarm data, associated alarm identification, alarm root cause diagnosis, and an auxiliary decision-making system. In the present invention, based on the analysis of deviation causal time sequence transmission, the chemical process knowledge is fully utilized to establish a process topology model, the chemical process alarm data and its time information are collected, the causal relationship between variables is judged through path search, the alarm root cause is automatically reasoned, and the real-time search The engine automatically retrieves the alarm root cause keyword, retrieves the relevant operation information from the database, assists the operator in decision-making, and solves the problems of low accuracy of alarm root cause diagnosis, excessive dependence on manual decision-making and heavy workload of topology model establishment in the prior art.

Description

technical field [0001] The invention relates to a method for diagnosing the root cause of an alarm in a chemical enterprise, in particular to a method for diagnosing the root cause of an alarm based on chemical process knowledge automation. Background technique [0002] The phenomenon of "alarm flooding" that often occurs in the field of alarm management in chemical enterprises brings great interference to process safety, and it is impossible to accurately and quickly determine the root cause of alarms. When "alarm flooding" occurs, it becomes a common phenomenon. At present, the diagnosis of the root cause of alarms in enterprises mainly relies on manual decision-making, which has obvious subjectivity and inconsistency. Especially when there are many alarms in a short period of time, it is difficult to deal with large process fluctuations simply by relying on manual decision-making. [0003] There are strong correlation characteristics between alarm variables in chemical p...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02
CPCG05B23/0262G05B2219/24065Y02P90/02
Inventor 孟亦飞刘庆龙刘尚志赵东风宋肖苗酒江波王效天
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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