期刊文献+

斜沟煤矿选煤厂构建智能工厂的探索与实践 被引量:13

Exploration and practice of building the intelligent Xiegou Mine Coal Preparation Plant
下载PDF
导出
摘要 为了探究智能工厂构建的内涵、核心架构、建设内容和建设成效,以斜沟煤矿选煤厂建设智能工厂的实践为例,提出:现场环境及底层设备硬件升级、网络平台搭建,以及与智能化相匹配的厂房环境、网络环境的建设,是支撑选煤智能决策体系的载体;全方位全覆盖的信息化网络安全防护体系的构建,为智能决策提供强大数据支撑;数据建模和分析,研究开发各种智能决策算法与程序,以确保产品在生产过程中完全受控,持续提升生产系统的可靠性,是智能工厂构建的核心;数据可视化呈现及交互协同、在线灰分检测技术、大数据深度学习技术、机器视觉故障预警技术,是选煤厂构建智能工厂的关键技术。同时指出,智能工厂的构建可为企业降本增效和减员减负奠定基础,但距离其成熟应用还有很长的路要走。 In order to explore the connotative characteristics,core architecture and construction content of an intelligent coal preparation plant as well as the effect that can be obtained,the practice of Xiegou Coal Preparation Plant in its efforts to build an intelligent plant is cited as a prime case for study.It points out that upgrading of operation environment and hardware of base equipment,building of network platform and building of plant and network environment with intelligent compatibilities are the carriers for supporting the decision-making system in building an intelligent plant;building of an all-round and fullcoverage information network security protection system can provide a strong data support for decisionmaking in realization of intelligentization;the core in building an intelligent plant lies in data modeling and analysis,and R&D of various decision-making algorithms and procedures for ensuring that the coal cleaning processes are completely under control and for continuous improvement of reliability of equipment;and data visualization,interactive coordination and online ash monitoring,big data deep learning and machine-vision fault early warning are key technologies for building an intelligent plant.It is noted that construction of an intelligent plant can provide a basis for allowing the plant to cut down operating cost,improve production efficiency,ease workload and downsize working personnel.Yet there is still a long way to go before it becomes a mature intelligent plant.
作者 黄健华 HUANG Jianhua(Xiegou Mine Coal Preparation Plant,Shanxi Xishan Jinxing Energy Co.Ltd.,Lyuliang 033602,China)
出处 《选煤技术》 CAS 2021年第3期31-37,共7页 Coal Preparation Technology
关键词 选煤智能化 智能工厂 智能工厂构架 大数据分析体系 云服务平台 intelligent coal preparation intelligent plant intelligent plant framework big data analysis system cloud service platform
  • 相关文献

参考文献14

二级参考文献79

  • 1孙亚东,何红为,刘秀芬.锦界选煤厂安全质量标准化建设实践[J].洁净煤技术,2019,0(S01):170-173. 被引量:2
  • 2彭沙沙,张红梅,卞东亮.计算机网络安全分析研究[J].现代电子技术,2012,35(4):109-112. 被引量:133
  • 3李占山,王涛,孙吉贵,林海,冯果忱.利用元件替换测试求诊断[J].软件学报,2005,16(9):1599-1605. 被引量:2
  • 4焦青松,吴应良.基于OPC和Java的远程监控系统架构研究与设计[J].微计算机信息,2006,22(02S):74-76. 被引量:4
  • 5GB17859-1999.计算机信息系统安全保护等级划分准则[S].[S].,1999..
  • 6The Hammersmith Group. The Internet of Things: Networked Objects and Smart Devices [R]. New York: The Hammersmith Group, 2010.
  • 7Elson J, Estrin D. Sensor Networks: A Bridge to the Physical World [M]. Norwell: Kluner Academic Publishers, 2004: 3-20.
  • 8Barton J, Kindberg T. The Challenges and Opportunities of Integrating the Physical World and Networked Systems [R]. [S. 1. ] : HP Laboratories, 2001.
  • 9Estrin D, Culler D, Pister K, et al. Connecting the Physical World with Pervasive Networks [J]. IEEE Pervasive Computing, 2000, 1(1): 59-69.
  • 10Joseph A D. Ubiquitous System Software [J]. IEEE Pervasive Computing, 2004, 3(3) : 57-59.

共引文献189

同被引文献117

引证文献13

二级引证文献31

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部