计算机科学 ›› 2011, Vol. 38 ›› Issue (5): 244-248.

• 人工智能 • 上一篇    下一篇

基于DCSP的煤矿应急救援资源调配方法

李卫,张自力,吴华君   

  1. (西南大学智能软件与软件工程重点实验室 重庆400715)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受重庆市科技攻关计划项目(CSTC, 2009AC2174)资助。

DCSP-based Resource Allocation Approach for Emergency Rescue in Coal Mine

LI Wei,ZHANG Zi-li,WU Hua-jun   

  • Online:2018-11-16 Published:2018-11-16

摘要: 在大规模群体突发事件发生后,如何实时及有效地调配资源,是保障应急救援快速实施的关键。以煤矿应急救援为背景,探讨合适的资源调配方法。分布式约束满足问题(D(',SP-Distributed Constraint Satisfaction Problem)擅于表示及求解分布式环境下以协作性为主的问题,是一种解决具有信息分布、需求随环境动态变化等特点的资源调配问题的有效方法,而煤矿应急救援问题正好具有这样的特征。因此,采用DCSP方法来解决煤矿应急救援中的资源调配问题,抽取并构建了煤矿应急救援资源调配的模型,讨论了Agent模型和约束模型的定义,改进了MAWS(MAWS-Multiple Asynchronous Weak-commitment Search)算法。经实验验证,采用DCSP方法可在事故发生后的较短时间内做出有效的资源调配决策,减少资源送达到事故点的时间,为应急救援争取了大量救援时间,从而减少了煤矿事故发生后的人员伤亡和经济损失。

关键词: 煤矿,应急救援,资源调配,Agent,分布式约束满足问题

Abstract: How to allocate resources efficiently is pivotal for emergency rescue after large-scale incidents occurred. This paper discussed the appropriate resource allocation approach for emergency rescue in coal mine. Distributed constraint satisfaction problem(DCSP) , an effective approach to deal with resource allocation, is suitable for showing and solving collaborative problems in distributed situation. This approach features in information distribution, demands change with dynamic environment, which arc also the characteristics of emergency rescue in coal mine. I}his paper adopted I}CSP approach to solve resource allocation of emergency rescue in coal mine, drew and formulated DCSP model, as well as defined Agent and Constraint model, and improved Multiple Asynchronous Weak-commitment Search (MAWS) algorithm which is used to solve I}CSP. I}he experiment results testify that DCSP approach is effective and feasible to solve resource allocation for emergency rescue in coal mine.

Key words: Coal mine, Emergency rescue, Resource allocation, Agent, Distributed constraint satisfaction problem

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