中国安全科学学报 ›› 2019, Vol. 29 ›› Issue (8): 35-41.doi: 10.16265/j.cnki.issn1003-3033.2019.08.006

• 安全系统学 • 上一篇    下一篇

煤矿安全逃生的多智能体仿真模型

潘理虎 副教授1, 芦飞平1, 周耀辉2, 秦世鹏1   

  1. 1 太原科技大学 计算机科学与技术学院,山西 太原 030024;
    2 山西省华晋焦煤集团 沙曲二矿,山西 吕梁 033300
  • 收稿日期:2019-05-06 修回日期:2019-07-09 发布日期:2020-10-21
  • 作者简介:潘理虎 (1974—),男,河南驻马店人,博士,副教授,硕士生导师,从事人工智能、软件工程方面的研究。E-mail:panlh@tyust.edu.cn。
  • 基金资助:
    山西省中科院科技合作项目(20141101001);“十二五”山西省科技重大专项项目(20121101001);山西省科技攻关项目(20141039);山西省重点研究计划项目(201603D121031)。

Multi-agent simulation model of coal mine safety escape

PAN Lihu1, LU Feiping1, ZHOU Yaohui2, QIN Shipeng1   

  1. 1 College of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan Shanxi 030024, China;
    2 Shaqu No.2 Mine in Huajin Coking Coal Group of Shanxi Province, Lyuliang Shanxi 033300, China
  • Received:2019-05-06 Revised:2019-07-09 Published:2020-10-21

摘要: 为解决我国煤矿事故应急救援中矿工逃生路径规划问题,首先以山西省华晋焦煤集团沙曲矿的实际数据为基础,应用基于智能体建模仿真平台构建煤矿事故安全逃生仿真模型,模型包含出口感知型、盲目随从型、环境感知型和经验丰富型等4类矿工智能体;然后根据矿工智能体的类型,分别选用位置选择、方向选择、邻接矩阵和广度优先算法4种逃生模型生成不同逃生路线;最后针对煤矿安全逃生中的火灾和临时坍塌2种事故,模拟建立硐室与增加出口2种场景。结果表明:煤矿安全逃生仿真模型能够完整模拟 4 类矿工智能体的逃生过程;广度优先算法模型生成的逃生路线能够使矿工智能体快速找到最短逃生路径;在合适位置建立硐室,4类矿工逃生数比无硐室平均提高58.5%;增加出口,4类矿工逃生数比单一出口平均提高45%。

关键词: 煤矿安全, 多智能体建模, 安全逃生仿真模型, 广度优先算法, 火灾逃生

Abstract: :In order to solve escape-route planning for coal mine emergency rescue in China, based on actual data of Shaqu Mine of Huajin Coking Coal Group in Shanxi Province, a simulation model of coal mine accident escape was constructed by using multi-agent simulation platform, which consists of four types of agents, namely exit perception, blind follower, environmental perception and experienced ones. Then, four kinds of escape models, position selection, direction selection, adjacent matrix and breadth first algorithm, were selected according to agent types to generate different escape routes. Finally, two scenarios of chamber construction and exit increase were simulated targeting at escape from fire and temporary collapse accidents of coal mines. The results show that the proposed model can fully simulate escape processes of four kinds of miners' agents, and escape routes generated from breadth first algorithm can help agents quickly find the shortest path. Escape number of miners for four kinds of routes is 58.5% higher on average when chamber is constructed at a perfect place than that with no chamber and 45% higher when exits are increased than that with a single exit.

Key words: coal mine safety, agent-based model, safety escape simulation model, breadth first algorithm, fire escape

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