基于MAS的矿山环境监测系统研究

发布时间：2018-02-06 03:40

本文关键词： MAS 矿山环境监测 JADE 传感器　出处：《安徽理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：步入工业革命以后,社会经济的发展,使得对矿产资源的需求越来越大。获取矿产资源的同时,所带来的负面问题也随之增多,其中环境问题较为显著。矿产的过度开采,并没有做好对环境的保护,从而给人类居住的环境带来恶劣的影响。为了解决这一主要问题,我们需要大力加强对矿区周边环境的实时监测的力度。而矿山环境复杂多样、变化多端,传统的监测手段已无法满足监测需求,故本文寻求将新的控制理论系统引入进来,实现环境监测的复杂需求。近年来兴起的MAS技术因其在处理复杂问题上的超强能力,越来越广泛的被运用在生活中,Agent的高可靠性和灵敏性,对矿山环境监测有着至关重要的作用,其强集成性和智能性,有利于优化矿山环境监测系统结构、减少冗繁的数据处理,基于多Agent技术的矿山环境监测系统在复杂多变的矿区上将表现出更强适用性和先进性。(1)系统结构设计:设计了基于MAS的矿山环境监测系统模型,该模型由管控Agent、通信Agent、数据采集Agent和数据处理Agent组成。这四类Agent之间相互协调和合作共同完成矿山环境监测任务。(2)Agent间协作策略:提出基于熟人联盟与改进合同网协议的协作策略来实现系统内Agent间的协作交互,可以大大减少系统通信冗余,并且公平公正,避免自私霸占任务的行为发生。(3)仿真系统实现:本文选取JADE(Java Agent DevelopmentFramework)仿真平台与Eclipse开发平台相集成,JADE为仿真系统提供了交互协议和合作模型,两种平台的互相协作,共同构成基于MAS的仿真系统。(4)软硬件设计:根据基于MAS的矿山环境监测系统模型,从硬件方面主要设计了管控Agent和数据采集Agent,对传感器的选择进行了简要分析。软件部分则是在Eclipse中,基于JAVA语言对系统内创建四种不同功能的Agent主要代码进行分析。综上所述,本文开发的基于MAS的矿山环境监测的系统具有模块化、智能性、网络化、安装方便的特点,在矿山环境监测工作中有一定的发展前景,值得在矿山环境监测领域推广。
[Abstract]:After the industrial revolution, with the development of social economy, the demand for mineral resources is increasing. At the same time, the negative problems caused by the acquisition of mineral resources also increase. The environmental problem is obvious. The over-exploitation of mineral resources has not done a good job in protecting the environment, thus bringing adverse effects to the environment of human being. In order to solve this main problem. We need to strengthen the real-time monitoring of the surrounding environment of the mining area, and the mine environment is complex and varied, the traditional monitoring means can not meet the monitoring needs. Therefore, this paper seeks to introduce a new control theory system to meet the complex requirements of environmental monitoring. In recent years, MAS technology because of its super ability to deal with complex problems. More and more widely used in the life of high reliability and sensitivity of agents, mine environment monitoring has a vital role, its strong integration and intelligence. It is beneficial to optimize the structure of mine environment monitoring system and reduce redundant data processing. The mine environment monitoring system based on multi-#en0# technology will show stronger applicability and advanced character in the complex and changeable mining area. System structure design: the mine environment monitoring system model based on MAS is designed. The model is controlled by Agent-Communication Agent. Data acquisition Agent and data processing Agent. The four kinds of Agent coordinate and cooperate to complete mine environment monitoring task. Cooperation strategy between Agent: a collaboration strategy based on acquaintance alliance and improved contract net protocol is proposed to realize the cooperation and interaction between Agent in the system. The system communication redundancy can be greatly reduced and fair and equitable. The implementation of the simulation system to avoid the behavior of selfish occupation task: this paper selects the JADE(Java Agent Development Framework). The simulation platform is integrated with the Eclipse development platform. JADE provides the interactive protocol and cooperation model for the simulation system, and the two platforms cooperate with each other. The software and hardware design of simulation system based on MAS. 4): according to the model of mine environment monitoring system based on MAS. From the hardware aspect, we mainly design the control and control Agent and data acquisition agent, and analyze the sensor selection briefly. The software part is in the Eclipse. Based on the JAVA language to create four different functions of the main Agent code analysis. In summary, this paper based on the development of MAS based mine environment monitoring system has modularization, intelligent. With the characteristics of network and convenient installation, it has a certain prospect of development in the field of mine environmental monitoring, and is worth popularizing in the field of mine environmental monitoring.
【学位授予单位】：安徽理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP274

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