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A Study on the Deployment of Mesoscale Chemical Hazard Area Monitoring Points by Combining Weighting and Fireworks Algorithms

Author

Listed:
  • Yimeng Shi

    (Institute of Nuclear Biological and Chemical Defense, People’s Liberation Army, Beijing 102205, China)

  • Hongyuan Zhang

    (Institute of Nuclear Biological and Chemical Defense, People’s Liberation Army, Beijing 102205, China)

  • Zheng Chen

    (Beijing Chaotu Junke Digital Technology Co., Ltd., Beijing 102205, China)

  • Yueyue Sun

    (Institute of Nuclear Biological and Chemical Defense, People’s Liberation Army, Beijing 102205, China)

  • Xuecheng Liu

    (Institute of Nuclear Biological and Chemical Defense, People’s Liberation Army, Beijing 102205, China)

  • Jin Gu

    (Institute of Nuclear Biological and Chemical Defense, People’s Liberation Army, Beijing 102205, China)

Abstract

In order to address the problems of redundancy and waste of resources in the deployment of monitoring points in mesoscale chemical hazard areas, we propose a method for the deployment of monitoring points in mesoscale chemical hazard areas by combining weight and fireworks algorithms. Taking the mesoscale chemical hazard monitoring area as the research background, we take the probabilistic sensing model of telemetry sensor nodes as the research object, make a reasonable grid division of the mesoscale monitoring area, calculate the importance of each grid and perform clustering, utilize the diversity of the fireworks algorithm and the rapidity of the solution to solve the monitoring point deployment model and discuss the relevant factors affecting the deployment scheme. The simulation results show that the proposed algorithm can achieve the optimal coverage monitoring for monitoring areas with different importance and reduce the number of monitoring nodes and redundancy; meanwhile, the relevant factors such as the grid edge length, the number of clusters, and the average importance of monitoring areas have different degrees of influence on the complexity of the algorithm and the deployment scheme.

Suggested Citation

  • Yimeng Shi & Hongyuan Zhang & Zheng Chen & Yueyue Sun & Xuecheng Liu & Jin Gu, 2023. "A Study on the Deployment of Mesoscale Chemical Hazard Area Monitoring Points by Combining Weighting and Fireworks Algorithms," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5779-:d:1108078
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    References listed on IDEAS

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    1. Lidong Pan & Yu Zheng & Juan Zheng & Bin Xu & Guangzhe Liu & Min Wang & Dingding Yang, 2022. "Characteristics of Chemical Accidents and Risk Assessment Method for Petrochemical Enterprises Based on Improved FBN," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    2. Cordeau, Jean-François & Furini, Fabio & Ljubić, Ivana, 2019. "Benders decomposition for very large scale partial set covering and maximal covering location problems," European Journal of Operational Research, Elsevier, vol. 275(3), pages 882-896.
    3. ReVelle, C. S. & Eiselt, H. A., 2005. "Location analysis: A synthesis and survey," European Journal of Operational Research, Elsevier, vol. 165(1), pages 1-19, August.
    4. Ying Tan & Chao Yu & Shaoqiu Zheng & Ke Ding, 2013. "Introduction to Fireworks Algorithm," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 4(4), pages 39-70, October.
    Full references (including those not matched with items on IDEAS)

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