Research on methods of workers’ context description in mines

Shimin FENG; Enjie DING; Zhongyu LIU; Xiao YU; Lei MENG; Zhikai ZHAO

doi:10.11959/j.issn.2096-3750.2019.00127

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Research on methods of workers’ context description in mines

Theory and Technology | 更新时间：2024-06-05

- Research on methods of workers’ context description in mines
- Chinese Journal on Internet of Things Vol. 3, Issue 4, Pages: 9-16(2019)
- 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：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2019.00127
  CLC： TP181
- Published：30 December 2019，
  
  Published Online：2019-09，
- 稿件说明：
移动端阅览
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：

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

references

GIUSTOZZ F, SAUNIER J, ZANNIMERK C.Context modeling for industry 4 . 0:an ontology-based proposal[J]. Procedia Computer Science, 2018,126: 675-684.

LEAL G D S S , GUEDRIA W, PANETTO H . Interoperability assessment:a systematic literature review[J]. Computers in Industry, 2019,106: 111-132.

AGARWAL R, FERNANDEZ D G, ELSALEH T ,et al. Unified IoT ontology to enable interoperability and federation of testbeds[C]// IEEE 3rd World Forum on Internet of Things (WF-IoT). IEEE, 2016.

AMELIE G, ANTOINE Z, AMIT S . Building IoT based applications for smart cities:how can ontology catalogs help?[J]. IEEE Internet of Things Journal, 2018,5(5): 3978-3990.

丁恩杰, 施卫祖, 张申 ,等. 矿山物联网顶层设计[J]. 工矿自动化, 2017,43(9): 1-11.

DING E J, SHI W Z, ZHANG S ,et al. Top-down design of mine Internet of things[J]. Industry and Mine Automation, 2017,43(9): 1-11.

CHENG G, ZHANG Y L, WANG F ,et al. Construction and application of formal ontology for mine[J]. Transactions of Nonferrous Metals Society of China, 2011,21(supp-S3): 577-582.

XUE X, CHANG J K, LIU Z Z . Context-aware intelligent service system for coal mine industry[J]. Computers in Industry, 2013,65(2): 291-305.

CHANDRASEKARAN B, JOSEPHSON J R, BENJAMINS V R . What are ontologies,and why do we need them?[J]. IEEE Intelligent Systems, 1999,14(1): 20-26.

姚建铨, 丁恩杰, 张申 ,等. 感知矿山物联网愿景与发展趋势[J]. 工矿自动化, 2016,42(9): 1-5.

YAO J Q, DING E J, ZHANG S ,et al. Prospect of perception mine Internet of things and its development trend[J]. Industry and Mine Automation, 2016,42(9): 1-5.

冯仕民, 刘忠育, 俞啸 ,等. 矿山物联网人员情境描述与不安全行为识别[J]. 物联网学报, 2018,2(4): 97-102.

FENG S M, LIU Z Y, YU X ,et al. Workers’ context description and unsafe behavior recognition in Internet of things for mines[J]. Chinese Journal on Internet of Things, 2018,2(4): 97-102.

CHEN H, QI H, LONG R ,et al. Research on 10-year tendency of China coal mine accidents and the characteristics of human factors[J]. Safety Science, 2012,50(4): 745-750.

CHOI J, KIM Y, SHIN S ,et al. Smart IoT monitoring framework based on oneM2M for fog computing[C]// ACM Symposium on Applied Computing. ACM, 2018.

JARA A J, OLIVIERI A C, BOCCHI Y ,et al. Semantic web of things:an analysis of the application semantics for the IoT moving towards the IoT convergence[J]. International Journal of Web and Grid Services, 2014,10(2): 244-272.

NACER H, AISSANI D . Semantic web services:standards,applications,challenges and solutions[J]. Journal of Network and Computer Applications, 2014,44: 134-151.

DOU D, WANG H, LIU H . Semantic data mining:a survey of ontology-based approaches[C]// IEEE International Conference on Semantic Computing. IEEE, 2015.

YANG A, CORMICAN K, YU M . Ontology-based systems engineering:a state-of-the-art review[J]. Computers in Industry, 2019,111: 148-171.

GRUBER T R . A translation approach to portable ontology specifications[J]. Knowledge Acquisition, 1993,5(2): 199-220.

CORCHO O, MARIANO FERNÁNDEZ-LÓPEZ, ASUNCIÓN ASUNCIÓN GÓMEZ-PÉREZ, . Methodologies,tools and languages for building ontologies.Where is their meeting point?[J]. Data ＆ Knowledge Engineering, 2003,46(1): 41-64.

IQBAL R, MURAD M A A, MUSTAPHA A ,et al. An analysis of ontology engineering methodologies:a literature review[J]. Research Journal of Applied Sciences (Engineering and Technology), 2013,6(16): 2993-3000.

STUDER R . Knowledge engineering:principles and methods[J]. Data＆ Knowledge Engineering, 2008,25(1-2): 161-197.

KIM J, JEON M, PARK H ,et al. An approach for recognition of human’s daily living patterns using intention ontology and event calculus[J]. Expert Systems with Applications, 2019,132: 256-270.

RODRÍGUEZ N D, CUÉLLAR M P, LILIUS J ,et al. A survey on ontologies for human behavior recognition[J]. ACM Computing Surveys, 2014,46(4): 1-33.

孟现飞 . 基于本体的煤矿事故预警知识库模型及其应用[D]. 徐州:中国矿业大学, 2014.

MENG X F . The knowledge base model of coal mine accident early warning based on ontology and its application[D]. Xuzhou:China University of Mining and Tecnology, 2014.

药慧婷, 陈立潮, 潘理虎 . 掘进工作面本体模型研究[J]. 工矿自动化, 2015(9): 97-100.

YAO H T, CHEN L C, PAN L H . Research of ontology model of heading face[J]. Industry and Mine Automation, 2015(9): 97-100.

DEY A K . Understanding and using context[J]. Personal Ubiquitous Computing, 2001,5(1): 4-7.

CAO Y, KLAMMA R, HOU M ,et al. Follow me,follow you-spatiotemporal community context modeling and adaptation for mobile information systems[C]// IEEE 9th International Conference on Mobile Data Management. IEEE, 2008.

PERERA C, ZASLAVSKY A, CHRISTEN P ,et al. Context aware computing for the Internet of things:a survey[J]. IEEE Communications Surveys ＆ Tutorials, 2014,16(1): 414-454.

MOORE P, HU B, ZHU X ,et al. A survey of context modeling for pervasive cooperative learning[C]// IEEE International Symposium on Information Technologies and Applications in Education. IEEE, 2007.

AGUILAR J, JEREZ M, RODRIGUEZ T . CAMeOnto:context awareness meta ontology modeling[J]. Applied Computing and Informatics, 2017,14(2): 202-213.

BETTINI C, BRDICZKA O, HENRICKSEN K ,et al. A survey of context modelling and reasoning techniques[J]. Pervasive and Mobile Computing, 2010,6(2): 161-180.

RIBONI D, BETTINI C . Context provenance to enhance the dependability of ambient intelligence systems[J]. Personal and Ubiquitous Computing, 2012,16(7): 799-818.

BALDAUF M, DUSTDAR S, ROSENBERG F . A survey on context-aware systems[J]. Ubiquitous Computing, 2007,2(4): 263-277.

RIAÑO D, PELEG M, TEIJE A T . Ten years of knowledge representation for health care(2009-2018):topics,trends,and challenges[J]. Artificial Intelligence in Medicine, 2019,100:101713.

MEDITSKOS G, KOMPATSIARIS I . iKnow:ontology-driven situational awareness for the recognition of activities of daily living[J]. Pervasive and Mobile Computing, 2017,40: 17-41.

RIBONI D, BETTINI C . COSAR:hybrid reasoning for context-aware activity recognition[J]. Personal and Ubiquitous Computing, 2011,15(3): 271-289.

CHEN L, NUGENT C, MULVENNA M ,et al. Semantic smart homes:towards knowledge rich assisted living environments[M]. Heidelberg: Springer Berlin HeidelbergPress, 2009.

ZHANG S, BOUKAMP F, TEIZER J . Ontology-based semantic modeling of construction safety knowledge:towards automated safety planning for job hazard analysis (JHA)[J]. Automation in Construction, 2015,52: 29-41.

王永庆 . 人工智能原理与方法[M]. 西安: 西安交通大学出版社, 1998.

WANG Y Q . Principles and methods of artificial intelligence[M]. Xi’an: Xi’an Jiaotong University PressPress, 1998.

钟秀琴, 符红光, 佘莉 ,等. 基于本体的几何学知识获取及知识表示[J]. 计算机学报, 2010,33(1): 167-174.

ZHONG X Q, FU H G, SHE L ,et al. Geometry knowledge acquisition and representation on ontology[J]. Chinese Journal of Computers, 2010,33(1): 167-174.

IEC. White paper IoT 2020:smart and secure IoT platform[S]. 2016.

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Related Institution

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