煤矿安全诊断专家知识库研究与实现

发布时间：2018-04-17 18:23

本文选题：煤矿安全 + 知识库　；参考：《中国矿业大学》2015年硕士论文

【摘要】：近年来我国煤矿信息化建设取得了显著成果,包括井下工业控制网、企业局域网、煤矿综合自动化系统、安全生产监测联网系统、煤矿安全避险“六大系统”以及面向各生产管理部门的管理信息系统建设等。这诸多的信息系统源源不断地产生海量的数据,这些数据通常只是在报表或者大屏上显示一下便完成使命,大数据背后蕴含的模式、规律等知识无法感知,因而对煤矿安全状况也就缺乏本质上地概括和提升。数据海量积累而知识相对匮乏,目前逐渐成为煤矿信息化建设的重要议题,也是本文研究煤矿安全诊断专家知识库的目标所在。煤矿安全诊断专家知识库,是将煤矿安全相关的规范规程体系中涉及的知识以确定的知识表示形式高效地组织和存储起来,并提供高效方便的访问、检索、推理手段,是实现煤矿安全动态诊断的基础。通过日常业务系统收集的事务性数据以及监测监控系统上传的实时性数据,煤矿安全动态诊断系统根据知识库的诊断模型对煤矿生产状态进行分析计算,评估概括煤矿安全状况并诊断出存在的问题,根据问题进行检索、匹配、推理,提出建议措施。本文系统性的理清了煤矿安全生产活动及参与活动的人机环管对象,梳理每一类对象与安全生产相关的属性和信息,分层分级研究并建立了各类对象对安全生产影响和风险的量化指标和诊断模型,初步建立了指标体系和诊断模型库。根据煤矿安全生产的量化指标体系和诊断模型,以及煤矿安全生产的各类规程规范体系标准,建立了煤矿安全诊断专家知识库。实现了基本的安全知识规则的分词检索、模糊匹配、推理推断。软件系统实现基于.NET框架,采用三层模式的应用程序开发架构,利用关系型数据库SQL Server 2008和面向对象语言C#来开发煤矿安全专家系统的知识库和推理机。系统诊断对象综合数据源来自综合管理系统的信息采集,知识库的内容参考煤矿安全规程,综合三违标准,隐患标准,设备及操作规程等,诊断算法与诊断模型采用面向对象以及模块化的设计思想进行封装。诊断系统根据诊断对象数据,结合评估模型对煤矿的整体安全状况进行评估诊断,并对诊断结果生成处理建议。目前,煤矿安全动态诊断系统与专家知识库已经投入使用,并有效的降低了矿井安全事故的发生率,对改善煤矿生产环境起到了积极促进的作用。
[Abstract]:In recent years, remarkable achievements have been made in the construction of coal mine informatization in China, including underground industrial control network, enterprise local area network, coal mine integrated automation system, safety production monitoring network system, etc.The six systems of coal mine safety and risk avoidance and the construction of management information system for each production management department.These many information systems are constantly generating massive amounts of data. These data are usually just displayed on a report or a large screen to complete the mission. The patterns and rules behind big data are inperceptible.Therefore the coal mine safety condition also lacks the essential summary and the promotion.The mass accumulation of data and the relative lack of knowledge are becoming an important topic in the construction of information technology in coal mines, which is also the goal of this paper to study the knowledge base of coal mine safety diagnosis experts.The expert knowledge base of coal mine safety diagnosis is to efficiently organize and store the knowledge involved in the system of coal mine safety related norms and regulations, and to provide efficient and convenient access, retrieval and reasoning.It is the foundation of dynamic diagnosis of coal mine safety.Through the routine data collected by daily business system and real-time data uploaded by monitoring and monitoring system, the coal mine safety dynamic diagnosis system analyzes and calculates the coal mine production status according to the diagnostic model of knowledge base.To evaluate and summarize the coal mine safety situation and diagnose the existing problems, search, match, infer, and put forward some suggestions according to the problems.This paper systematically clarifies the coal mine safety production activities and the man-machine environmental management objects that participate in the activities, combing the attributes and information of each kind of objects related to the safety production.The quantitative indexes and diagnostic models of the effects and risks of various objects on production safety were studied and established, and the index system and diagnostic model library were preliminarily established.According to the quantitative index system and diagnostic model of coal mine safety production, as well as the standards of all kinds of rules and regulations of coal mine safety production, the expert knowledge base of coal mine safety diagnosis is established.The basic security knowledge rules of participle retrieval, fuzzy matching, inference and inference are implemented.The software system is based on .NET framework, adopts the application development framework of three-tier mode, and uses relational database SQL Server 2008 and object-oriented language C # to develop the knowledge base and inference engine of coal mine safety expert system.The comprehensive data source of the system diagnosis object comes from the information collection of the integrated management system, the contents of the knowledge base refer to the coal mine safety rules, the comprehensive three violations standard, the hidden trouble standard, the equipment and the operation rules, etc.The diagnosis algorithm and diagnostic model are encapsulated by object-oriented and modular design ideas.According to the data of the diagnosis object and the evaluation model, the system evaluates and diagnoses the whole safety condition of coal mine, and generates some processing suggestions for the diagnosis result.At present, the coal mine safety dynamic diagnosis system and expert knowledge base have been put into use, and effectively reduce the incidence of mine safety accidents, to improve the coal mine production environment has played an active role in promoting.
【学位授予单位】：中国矿业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD76;TP182

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