Journal of Liaoning Petrochemical University
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Research on Quantitative Emergency Management Capability of Chemical Tank Farm Based on PPRR
Guanbo CHOU, Jie LIU, Yili DUO, Tie SUN
Abstract439)   HTML9)    PDF (1524KB)(92)      

The chemical storage tank area is a place with a large number of hazard sources, and the dynamic risk of the storage tank area cannot be quantified and characterized by traditional emergency management methods. Therefore, based on PPRR theory, a quantitative evaluation model of fire emergency management ability of chemical tank farm was established, and the weight of evaluation index was determined by interval analytic hierarchy process. The improved fuzzy comprehensive evaluation method was used to quantitatively evaluate the fire emergency management ability of chemical tank farm. This model is used to evaluate the fire emergency management ability of chemical tank farm of M Petrochemical Company, and the accuracy of this model is verified. The results show that the evaluation score of fire emergency management ability of chemical tank farm of M Petrochemical Company is 3.35, which is consistent with the qualitative evaluation result, and the accuracy of this model is verified. The model can solve the problem of uncertainty of the importance degree of the indicators, and the improved fuzzy comprehensive evaluation method can point out the deficiencies and degree of chemical tank farm, which can provide a new way to perfect and improve the fire emergency management ability of the chemical tank farm.

2024, 44 (4): 51-59. DOI: 10.12422/j.issn.1672-6952.2024.04.007
A Pipe Layout Sequence Optimization Method Based on Disassembly Complexity
Yuanjie Liu, Qiang Liu
Abstract177)   HTML3)    PDF (1456KB)(164)      

Aero?engine usually contains a large number of pipes, the arrangement sequence of these pipes has a certain impact on the overall layout effect of the system. In order to reduce the degree of cross layout of multiple pipes, the evaluation method of pipe disassembly complexity was designed based on product assembly and disassembly, a Discrete Chicken Swarm Optimization (DCSO) algorithm was used to solve the pipe layout sequence planning. First, a calculation method of pipe disassembly complexity was proposed to evaluate the complexity of pipe system layout scheme. Next, the pipe was pre?planned by A* algorithm. Then, an obstacle avoidance algorithm was designed based on engineering rules to adjust the pipe. Finally, taking the pipe length and disassembly complexity as the optimization objectives, the pipe layout sequence was optimized based on DCSO, and the feasibility of the proposed method was verified by a layout example.

2023, 43 (2): 86-91. DOI: 10.12422/j.issn.1672-6952.2023.02.014