矿山人员状态信息描述方法研究

冯仕民; 丁恩杰; 刘忠育; 俞啸; 孟磊; 赵志凯

doi:10.11959/j.issn.2096-3750.2019.00127

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矿山人员状态信息描述方法研究

理论与技术 | 更新时间：2024-06-05

- 矿山人员状态信息描述方法研究
- Research on methods of workers’ context description in mines
- 物联网学报 2019年3卷第4期页码：9-16
- 作者机构：
  
  1. 矿山互联网应用技术国家地方联合工程实验室，江苏徐州 221008
  2. 中国矿业大学物联网（感知矿山）研究中心，江苏徐州 221008
  3. 徐州市物联网产业发展研究中心，江苏徐州 221008
- 作者简介：
  
  [ "冯仕民（1983- ），男，江苏连云港人，博士，中国矿业大学讲师，主要研究方向为物联网、传感器融合、人机交互、机器学习和人工智能等" ]
  [ "丁恩杰（1962- ），男，山东青岛人，中国矿业大学教授、博士生导师，主要研究方向为矿山信息化、煤矿综合监测监控、矿井无线传感器网络和矿山物联网等" ]
  [ "刘忠育（1985- ），男，河南新乡人，中国矿业大学信息与控制工程学院博士生，主要研究方向为语义物联网、行为识别和3D场景语义理解" ]
  [ "俞啸（1989- ），男，山东济宁人，中国矿业大学博士，主要研究方向为故障诊断方法、嵌入式系统与物联网技术、机器学习与人工智能技术" ]
  [ "孟磊（1982- ），男，山东济宁人，博士，中国矿业大学副研究员，主要研究方向为基于物联网的矿山环境感知、矿井排水优化理论与方法等" ]
  [ "赵志凯（1983- ），男，河北石家庄人，博士，中国矿业大学助理研究员，主要研究方向为物联网、机器学习、模式识别和数据挖掘等" ]
- 基金信息：
  
  国家重点研发计划项目“矿山安全生产物联网关键技术与装备研发”课题资助项目;National Key Research and Development Program Project “Research and Development of Key Technologies and Equipment for Internet of Things in Mine Safety Production”(2017YFC0804401)
- DOI：10.11959/j.issn.2096-3750.2019.00127
  中图分类号： TP181
- 纸质出版日期：2019-12-30，
  
  网络出版日期：2019-09，
- 稿件说明：
移动端阅览
冯仕民, 丁恩杰, 刘忠育, 等. 矿山人员状态信息描述方法研究[J]. 物联网学报, 2019,3(4):9-16.

SHIMIN FENG, ENJIE DING, ZHONGYU LIU, et al. Research on methods of workers’ context description in mines. [J]. Chinese journal on internet of things, 2019, 3(4): 9-16.
冯仕民, 丁恩杰, 刘忠育, 等. 矿山人员状态信息描述方法研究[J]. 物联网学报, 2019,3(4):9-16. DOI： 10.11959/j.issn.2096-3750.2019.00127.

SHIMIN FENG, ENJIE DING, ZHONGYU LIU, et al. Research on methods of workers’ context description in mines. [J]. Chinese journal on internet of things, 2019, 3(4): 9-16. DOI： 10.11959/j.issn.2096-3750.2019.00127.

摘要

矿山人员不安全行为是引发事故的关键因素，而行为与人员的状态信息密切相关。本体被广泛应用于计算机科学中需要信息交换和知识共享的领域，这些信息和知识包含复杂的结构和多种多样的语义。论述了矿山人员状态信息描述方法的研究，首先介绍了其在物联网领域中的概况，阐述了矿山人员状态信息描述的重要性和必要性，介绍了语义网、情境描述和知识表示等研究背景，分析了矿山人员状态信息感知描述方法。提出的本体模型，基于 oneM2M 国际化技术规范。为了构建此本体，借鉴了 oneM2M 基本本体的部分核心概念，同时提出了专属于矿山人员状态信息描述的概念类、属性及关系。提出的矿山人员状态信息描述本体，旨在达到规范信息描述、数据语义标注、知识共享和重用的目的。最后总结并展望了本体方法在矿山人员状态信息描述和行为识别研究中的前景。

Abstract

The worker’s unsafe behavior is the key cause of mine accidents.The human activity is closely related with the context.Ontology is widely used in computer science in the field of information exchange and knowledge sharing

which contains complex structures and various semantics.Firstly

the research on the description of the miners’ situational information in the mining field was summarized.It introduced the general situation in the field of the Internet of things.The importance and necessity of the description of the state information of mine personnel was presented.It introduced the research background

including semantic web

context description and knowledge representation.After that

the method of information description of mine personnel was described.The ontology model was proposed based on oneM2M international technical specifications.In order to construct this ontology

it was drawed on some of the core concepts of oneM2M Base Ontology.The concept classes

attributes and relationships that are specific to the information description of mine personnel were put forward.The context description of mine personnel proposed was aimed at achieving the purposes of specification information description

data semantic labeling

knowledge sharing and reuse.Finally

the conclusions were drawn and the prospect of using the ontology method for context perception and the miners’ unsafe behavior recognition was presented.

关键词

矿山物联网情境建模本体知识表示人工智能

Keywords

mine Internet of thingscontext modelingontologyknowledge representationartificial intelligence

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