Automatic HAZOP analysis method for unsteady operation in chemical based on qualitative simulation and inference

Yuliang Zhang; Wentao Zhang; Beike Zhang

doi:10.1016/j.cjche.2015.10.004

Your Location：

Home >

Browse articles >

Automatic HAZOP analysis method for unsteady operation in chemical based on qualitative simulation and inference

第25届中国过程控制会议专栏 | Updated：2026-01-06

- Automatic HAZOP analysis method for unsteady operation in chemical based on qualitative simulation and inference
- Chinese Journal of Chemical Engineering Vol. 23, Issue 12, Pages: 2065-2074(2015)
- Affiliations：
  
  2 College of Automation Engineering, Beijing Polytechnic,Beijing,China,100176
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2015.10.004
  CLC：
- Published：2015
- Accepted：
Scan QR Code
Yuliang Zhang, Wentao Zhang, Beike Zhang . Automatic HAZOP analysis method for unsteady operation in chemical based on qualitative simulation and inference[J]. Chin.J.Chem.Eng., 2015, 23(12): 2065-2074.
DOI：

Yuliang Zhang, Wentao Zhang, Beike Zhang . Automatic HAZOP analysis method for unsteady operation in chemical based on qualitative simulation and inference[J]. Chin.J.Chem.Eng., 2015, 23(12): 2065-2074. DOI： 10.1016/j.cjche.2015.10.004.

摘要

Abstract

Comparing with continuous production process

unsteady operation process

such as startup and shutdown

tends to abnormal situations due to a large number of operations of operators and dynamic state changes involved. To guarantee a safe operation

process hazard analysis (PHA) is very important to proactively identify the potential safety problems. In the chemical process industry

hazard and operability (HAZOP) analysis is the mostwidely used method. In this paper

based on proposed qualitative simulation and inferencemethod

an automatic HAZOP analysis method for unsteady operation processes is proposed. Mass transfer and relationships among process variables are expressed by Petri net-directed graphmodel based fuzzy logic. Operating procedure is expressed according to a formal expression. Possible operation deviations from normal operating procedure are identified by using a group of guidewords. Hazards are identified automatically by qualitative simulation and inference when wrong operation process is performed. The method is validated by a rectification column system.

关键词

Keywords

references

Views

176

Downloads

CSCD

Alert me when the article has been cited

Submit

Tools

Publicity Resources

Consequence Identification for Maloperation in Batch Process

Sample-optimized adaptive perceptual enhanced graph neural network based fault identification in industrial processes

A fault diagnosis method for complex chemical process integrating shallow learning and deep learning

Transferable adversarial slow feature extraction network for few-shot quality prediction in coal-to-ethylene glycol process

Hierarchical multihead self-attention for time-series-based fault diagnosis

Related Author

吴重光

曹柳林

马昕

张玉良

张贝克

Tao Yang

Song Bing

Shi Hongbo

Related Institution

College of Information Science and Technology, Beijing University of Chemical Technology

Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology

SINOPEC Research Institute of Safety Engineering Co., Ltd

State Key Laboratory of Chemical Safety

Department of Intelligent Manufacturing, Nanjing Tech University

⁰