Evolutionary optimization strategies applied to wireless fleet management in emergency scenarios

Zappini, L.; Marchesi, Serena; Polo, Alessandro; Viani, Federico; Massa, Andrea

doi:10.1109/mms.2015.7375466

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…In China, in the field of emergency management, scenarios were applied to preplan compilation [8], based on fuzzy rules reasoning, an emergency disposal scheme was quickly generated [9], an emergency strategy library building, etc., to try to solve the problem of plans and strategies in the library, but the strategy of the problem of the lack of a direct response to the scene information was extracted, which may also weaken the nature meaning of the "scene-to deal with" strategy, namely, the specific coping strategies. In order to solve this problem, some scholars put forward a solution based on the situation of a family tree design case where the longitudinal scene is divided into condition attribute and decision attribute, making every effort to achieve a one-to-one correspondence relation, but not for a single different emergency situation in the field of similarity calculation as well as the situation of a chain similarity algorithm to answer [10].…”

Section: Introductionmentioning

confidence: 99%

Research on Structural Similarity Design Emergency Exercise’s Scenario

2022

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In order to better apply the “situational response” model in the field of fluidized mining emergency management, it is the first step and the most critical problem to construct a reasonable scenario for fluidized mining emergency drills and reasonably put forward emergency management measures. Therefore, the structural similarity method is adopted in this paper to design emergency exercise scenarios. Firstly, a model of hierarchical structured scenarios is proposed, namely, modules of “Event-Environment-State of scenario-Disposal of task-Emergency action- Resources subject.” Secondly, a scenario chain is designed, and a prediction method of the event development trend under the current scenario is proposed. Thirdly, the calculation method of scenario similarity and the proposed emergency response scheme method under the current situation after similarity comparison are proposed. Finally, the structural similarity analysis method is used to verify the application of “scenario construction” in oil and gas pipeline accidents, and better analysis results are obtained. Through this research, the application of “scenario design” in fluidized mining emergency management has been expanded and enriched, and technical support for “scenario design” of fluidized mining assisted decisions is provided.

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Section: Introductionmentioning

confidence: 99%

Research on Structural Similarity Design Emergency Exercise’s Scenario

2022

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An improved failure mode and effects analysis method based on uncertainty measure in the evidence theory

Tang

2020

Quality & Reliability Eng

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Abstractmode and effects analysis (FMEA) is an effective tool to assess the risk of a system or process under uncertain environment. However, how to handle the uncertainty in the subjective assessment is an open issue. In this paper, a novel method to deal with the uncertainty coming from subjective assessments of FMEA experts is proposed in the framework of Dempster–Shafer evidence theory. First, the uncertain degree of the assessment is measured by the ambiguity measure. Then, the uncertainty is transformed to the reliability of each FMEA expert and the relative importance of each risk factor. After that, the assessments from FMEA team will be fused with a discounting‐based combination rule to address the potential conflict. Moreover, to avoid the situation that different risk priorities of failure modes may have the same ranking based on classical risk priority number method, the gray relational projection method (GRPM) is adopted for ranking risk priorities of failure modes. Finally, an application of the improved FMEA model in sheet steel production process verifies the reliability and validity of the proposed method.

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