基于三级管控架构的智能化综合管控平台
Development of a three-level intelligent integrated management and control platform
-
摘要: 利用大数据、人工智能、边缘计算、云计算等新一代信息技术,通过建设集团公司企业私有云、区域子公司/煤矿数据中心(边缘云)、中台和业务系统,从集团层级自顶向下打造基于云平台技术的“集团公司-区域子公司-煤矿”三级架构的智能化综合管控平台。集团公司层级以监管和数据赋能为核心,建设“集团公司智能化综合监管赋能平台”,对所有下属区域子公司及煤矿的生产、安全、经营等海量数据进行治理、挖掘,开展智能分析和决策模型训练,为集团公司的决策提供依据;区域子公司层级以管理和经营为核心,构建“区域子公司业务综合管理平台”,围绕企业下属煤矿生产情况实现对各矿井生产、安全、经营数据的统计与分析,在集团层级平台的支持下,对各种指标参数进行分析、优化,给出不断改进、增强企业运行质量的方案;煤矿层级以安全生产为核心,构建“煤矿智能化综合协同管控平台”,接入煤矿生产、安全、经营等系统,实时掌握本矿厂安全生产状况,并对各安全报警、故障、隐患及指令进行及时跟踪执行处理,接收集团公司、区域子公司安全生产决策分析结果,辅助本矿井安全生产。Abstract: During the development of intelligent coal mines, coal mines usually build the private clouds and the intelligent integrated management and control platform without the group-level planning, which results in information islands, difficulties in data fusion and data mining. With the utilization of the new generation information technologies such as big data, artificial intelligence, edge computing and cloud computing, a three-level intelligent integrated control platform of the group, regional branch and coal mines was built. The platform included group-level private clouds, regional-branch-level and coal-mine-level data centers, as well as middle ground and application systems. At the group-level, an intelligent group platform with supervision function carried out intelligent analysis and intelligent model training with the massive data mining from production, safety and business operation, so that the platform could provide vital information for the group’s decision making. At the regional-branch-level, an intelligent regional-branch platform with management and operation functions was built, which provided continuous improvement and enhancement feedback to the regional branch, with the support of the group-level platform and statistical analysis of the production, safety and business operation data of subordinate coal mines. At the coal-mine-level, an intelligent coal-mine platform with cooperative management and control functions was built, which connected with the systems of production, safety and business operation, and processed all the safety alarms, faults and potential safety risks in par with the assistance of the group-level and the regional-branch-level platforms.
-
-
[1] 罗香玉,李嘉楠,郎丁.智慧矿山基本内涵、核心问题与关键技术[J].工矿自动化,2019,45(9):61-64. LUO Xiangyu, LI Jianan, LANG Ding. Basic connotation, core problems and key technologies of wisdom mine[J]. Industry and Mine Automation, 2019, 45(9): 61-64.
[2] 李梅,杨帅伟,孙振明,等.智慧矿山框架与发展前景研究[J].煤炭科学技术,2017,45(1):121-128. LI Mei, YANG Shuaiwei, SUN Zhenming, et al. Study on framework and development prospects of intelligent mine[J]. Coal Science and Technology, 2017, 45(1): 121-128.
[3] 李首滨.智能化开采研究进展与发展趋势[J].煤炭科学技术,2019,47(10):102-110. LI Shoubin. Progress and development trend of intelligent mining technology[J]. Coal Science and Technology, 2019, 47(10): 102-110.
[4] 王国法,赵国瑞,任怀伟.智慧煤矿与智能化开采关键核心技术分析[J].煤炭学报,2019,44(1):34-41. WANG Guofa, ZHAO Guorui, REN Huaiwei. Analysis on key technologies of intelligent coal mine and intelligent mining[J]. Journal of China Coal Society, 2019, 44(1): 34-41.
[5] 王国法,刘峰,孟祥军,等.煤矿智能化(初级阶段)研究与实践[J].煤炭科学技术,2019,47(8):1-36. WANG Guofa, LIU Feng, MENG Xiangjun, et al. Research and practice on intelligent coal mine construction(primary stage)[J]. Coal Science and Technology, 2019, 47(8): 1-36.
[6] 王国法,任怀伟,赵国瑞,等.煤矿智能化十大“痛点”解析及对策[J].工矿自动化,2021,47(6):1-11. WANG Guofa, REN Huaiwei, ZHAO Guorui, et al. Analysis and countermeasures of ten ‘pain points’ of intelligent coal mine[J]. Industry and Mine Automation, 2021, 47(6): 1-11.
[7] 高文.智慧矿山智能决策支持技术架构设计[J].工矿自动化,2017,43(9):21-25. GAO Wen. Design of intelligent decision support technology architecture for wisdom mine[J]. Industry and Mine Automation, 2017, 43(9): 21-25.
[8] 庞义辉,王国法,任怀伟.智慧煤矿主体架构设计与系统平台建设关键技术[J].煤炭科学技术,2019,47(3):35-42. PANG Yihui, WANG Guofa, REN Huaiwei. Main structure design of intelligent coal mine and key technology of system platform construction[J]. Coal Science and Technology, 2019, 47(3): 35-42.
[9] 阙建立.智能矿山平台建设与实现[J].工矿自动化,2018,44(4):90-94. QUE Jianli. Construction and implementation of platform for intelligent mine[J]. Industry and Mine Automation, 2018, 44(4): 90-94.
[10] 王国法,庞义辉,刘峰,等.智能化煤矿分类、分级评价指标体系[J].煤炭科学技术,2020,48(3):1-13. WANG Guofa, PANG Yihui, LIU Feng, et al. Specification and classification grading evaluation index system for intelligent coal mine[J]. Coal Science and Technology, 2020, 48(3): 1-13.
[11] 毛善军,夏良,陈华州.基于安全生产的智能煤矿管控系统[J].煤矿安全,2018,49(12):102-107. MAO Shanjun, XIA Liang, CHEN Huazhou. Design of intelligent coal mine management and control system based on safety production[J]. Safety in Coal Mines, 2018, 49(12): 102-107.
[12] 王万丽,孙超,宿国瑞.基于云平台的煤矿安全智能管控信息平台设计[J].煤炭工程,2019,51(6):52. WANG Wanli, SUN Chao, SU Guorui. Design of coal mine safety intelligent control information platform bas-ed on cloud platform[J]. Coal Engineering, 2019, 51(6): 52.
[13] 张波,赵耀忠,刘跃,等.基于大数据的煤矿综合业务管控平台开发[J].热力发电,2021,50(9):72-79. ZHANG Bo, ZHAO Yaozhong, LIU Yue, et al. Development of coal mine integrated business management platform based on bigdata[J]. Thermal Power Generation, 2021, 50(9): 72-79.
[14] 韩安,陈晓晶,贺耀宜,等.智能矿山综合管控平台建设构思[J].工矿自动化,2021,47(8):7-14. HAN An, CHEN Xiaojing, HE Yaoyi, et al. Construction conception of intelligent mine integrated management and control platform[J]. Industry and Mine Automation, 2021, 47(8): 7-14.
-
期刊类型引用(11)
1. 姜龙,刘波,马平海. 综掘工作面粉尘分级防治技术应用研究. 能源技术与管理. 2024(02): 61-63+102 . 百度学术
2. 司俊鸿,王昊宇,霍小泉,岳东,袁增云,范智海. 综掘工作面半封闭式区域联合控尘技术研究. 金属矿山. 2024(05): 126-133 . 百度学术
3. 莫金明. 风流速度与喷雾角度对雾滴场分布特征的影响. 煤矿安全. 2024(08): 62-71 . 本站查看
4. 郭佳策. 烟煤润湿性能影响机理研究. 内蒙古煤炭经济. 2024(16): 1-3 . 百度学术
5. 王成,彦鹏,代振华,陆斌,葛少成,赵伟智. 微米活性液滴场致荷电效果及煤尘润湿性能研究. 煤矿安全. 2024(10): 46-52 . 本站查看
6. 彦鹏,王成,代振华,陆斌,葛少成,刘旭东. 磁-电耦合喷雾降尘效果研究. 煤矿安全. 2024(11): 92-100 . 本站查看
7. 常伟,王昊,辛创业,卢守青,刘状. 综掘工作面压风射流对呼吸性粉尘污染的影响规律研究. 煤矿安全. 2024(12): 115-122 . 本站查看
8. 娄剑. 综掘煤巷综合降尘技术研究. 矿业装备. 2024(12): 34-36 . 百度学术
9. 明洁. 综掘工作面长压短抽通风除尘技术探析. 当代化工研究. 2023(14): 114-116 . 百度学术
10. 司俊鸿,王昊宇,霍小泉,胡伟,袁增云,范智海. 综掘工作面气雾涡旋降尘技术研究及应用. 金属矿山. 2023(07): 135-141 . 百度学术
11. 徐丹丹,邱进伟. 磁化对表面活性剂性能影响及降尘效果研究. 煤炭工程. 2023(09): 134-139 . 百度学术
其他类型引用(1)
计量
- 文章访问数: 144
- HTML全文浏览量: 3
- PDF下载量: 20
- 被引次数: 12