The Storage Tank Explosion Damage and the Effectiveness of Control Measures in the Chemical Industrial Parks of Smart Cities

Author:

Cui Tiejun12,Wang Yunge3456,Xu Gang3456

Affiliation:

1. School of Environmental and Chemical Engineering, Shenyang Ligong University, Shenyang 110159, China

2. Institute of Safety and Emergency, Shenyang Ligong University, Shenyang 110159, China

3. School of Artificial Intelligence, Zhejiang College of Security Technology, Wenzhou 325000, China

4. Wenzhou Future City Research Institute, Wenzhou 325000, China

5. Wenzhou Key Laboratory of Natural Disaster Remote Sensing Monitoring and Early Warning, Wenzhou 325000, China

6. Wenzhou Collaborative Innovation Center for Space-Borne, Airborne and Ground Monitoring Situational Awareness Technology, Wenzhou 325000, China

Abstract

Safety is one of the goals of a smart city. To study storage tank explosion damage in a city’s chemical industrial parks, determine the position of control measures according to the situation, and realize the analysis of the measured utility, we proposed the area damage probability importance distribution. In this way, the prediction and prevention of risk in chemical industrial parks can be achieved intelligently. The concept of area damage probability importance distribution was given, and the utility analysis method of the control measures for storage tank explosion accidents was put forward. It is concluded that the area damage probability importance distribution represents the change degree of damage probability: that is, the damage degree of storage tank explosion in a chemical industrial park. The control measures for a storage tank explosion can be set up in varying positions, as the explosion damage is mainly caused by shock waves; the blast walls are selected as the measure set, and the calculation method for the area damage probability is modified. By comparing the calculated area damage probability distribution before and after, evaluation of the control measures’ effectiveness can be achieved. Finally, the flow chart of the algorithm is given. The example analysis shows that the calculation process and analysis results meet the design requirements of the algorithm. The effectiveness of the method, the distribution characteristics, and the significance and function of the importance distribution of damage probability are discussed. This provides an effective method for smart cities to predict and prevent the impact of an explosion at chemical industrial parks.

Funder

Open Fund of Wenzhou Future City Research Institute

Publisher

MDPI AG

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