China Safety Science Journal ›› 2023, Vol. 33 ›› Issue (8): 149-155.doi: 10.16265/j.cnki.issn1003-3033.2023.08.1389

• Safety engineering technology • Previous Articles     Next Articles

Research on inherent safety of chemical process based on fuzzy reasoning-combination weighting

ZHANG Rendong(), ZHANG Lijing**(), TAO Gang   

  1. College of Safety Science and Engineering,Nanjing Tech University,Nanjing Jiangsu 211816,China
  • Received:2023-03-11 Revised:2023-06-13 Online:2023-10-08 Published:2024-02-28
  • Contact: ZHANG Lijing

Abstract:

In order to improve the production safety level of chemical enterprises, 10 indexes were selected based on the intrinsic safety index method (ISI), and an intrinsic safety evaluation index system for chemical processes was established. Each evaluation index level was divided, and fuzzy reasoning was carried out with Mamdani fuzzy reasoning method in the Matlab environment. The rule output matrix under each three-level index was established according to the safety grade score value under the four-level index parameters. The sensitivity of fuzzy theoretical intrinsic safety evaluation results was preserved to the maximum extent, and the visual 3D fuzzy inference surface diagram was obtained. In order to accurately evaluate the intrinsic safety evaluation results, an objective function with the minimum distance and both subjective and objective weights was established, and the combined subjective and objective weights of each evaluation index calculated by the normalization method and entropy weight method were optimized to reduce the bias of the combined weight results. This method was applied to evaluate the intrinsic safety degree of four process routes, and the evaluation results were basically consistent with the evaluation methods proposed by predecessors. The research shows that: Based on the fuzzy inference-combination weighting intrinsic safety evaluation method, the distance deviation of subjective and objective weights is minimized while taking into account the subjective and objective weights. The evaluation results of this method are basically consistent with those of previous literature, which proves that this method has certain scientificity and effectiveness.

Key words: fuzzy logic, combination weighting, chemical process, inherent safety, evaluation indexes