Abstract

When a major accident occurs in a chemical industry park, it directly affects the personal safety of operators and neighboring residents and causes major losses; therefore, we should take measures to strengthen the management of chemical industry parks. This article proposes and analyzes a new dynamic semi-quantitative risk calculation model for chemical plants that can be applied digitally. This model provides a sustainable, standardized, and comprehensive management strategy for the safety management of chemical plants and chemical industry park managers. The model and its determined parameters were applied to the safety management of chemical companies within the chemical industry park of Quzhou, Zhejiang Province. From the point of view of the existing semi-quantitative model, the existing problems of the current model are analyzed, the current model is optimized, and a new dynamic semi-quantitative calculation model scheme is proposed. The new model uses an analytical hierarchy process targeting the factors affecting the risks in chemical plants, and chemical plant semi-quantitative dynamic calculation system consisting of the operator, process/equipment, risk, building environment, safety management, and domino effect, and the comprehensive risk of the chemical plant was calculated. The model is ultimately a real-time quantitative value, but its calculation process can compare and analyze the causes of high risk in a chemical plant as they relate to these six factors. Its implementation requires only software, which will greatly help chemical plant safety management.

Highlights

  • Chemical industry parks are built in development zones and are based on the development of oil and chemicals

  • The current research detailed above, which is mainly used for chemical industry park planning and analysis, cannot be used for the dynamic safety management of existing chemical industry parks; in addition, only the main hazards themselves were considered in these studies, and other major factors that affect safety accidents, such as human, machine, material, method, and environment, were not considered

  • We proposed and analyzed a new dynamic semi-quantitative risk calculation model for chemical plants that can be applied digitally

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Summary

Introduction

Chemical industry parks are built in development zones and are based on the development of oil and chemicals. The current research detailed above, which is mainly used for chemical industry park planning and analysis, cannot be used for the dynamic safety management of existing chemical industry parks; in addition, only the main hazards themselves were considered in these studies, and other major factors that affect safety accidents, such as human, machine, material, method, and environment, were not considered. This article is based on the research of dynamic semi-quantitative real-time monitoring and management methods for major hazards in chemical industry parks as they relate to the operators, process/equipment, risk, building environment, safety management, and domino effect. The influence of the five factors operator, process/equipment, building environment, safety management, and domino effect was added, and the risk value R’ of the danger source was comprehensively calculated.

Dynamic and Quantitative Calculation of Risk Values for Hazards
Analysis of Dynamic Semi-Quantitative Hazard Calculation Methods
Increased Risk of Quantities in the Pipeline
Domino Effect
Operator
Building Environment Rating Scale
Safety Management Rating Scale
Index Value Calculations via an Analytical Hierarchy Model
Overpressure Explosion Model and Vapor Explosion Model Calculation
Result
Domino Effect Coefficient
Major Hazards Factory Fact Sheet
Dynamic Quantitative Calculation of Hazards
Comparison WITH the Traditional Method of Calculating Hazard Risk Values
Conclusions
Full Text
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