摘要:
针对智能矿山灾害管控系统建设过程中出现的数据采集层不全面、边缘计算技术未完全实现，信息智能综合管控平台建设不完善等问题，梳理了国家、行业、地方煤矿智能化建设相关标准和指南，提出了煤矿灾害“云-边-端”一体化智能精准管控技术体系。端侧负责全面感知，增设矿用激光瓦斯传感器、矿用激光CO、C2H2、C2H4等火灾标识性气体传感器、呼吸性粉尘传感器及智能围岩应力传感器，形成数据感知层，负责煤矿多灾害数据信息的智能感知。同时，增设风电瓦斯闭锁装置瓦斯断电仪、自动洒水系统、喷雾除尘系统、应急广播等，形成执行控制层。边缘侧负责局部数据分析和处理，增设边缘计算装置，形成边缘计算层，实现与灾害措施进行联动控制；云端平台汇集所有边缘侧的感知数据、业务数据以及互联网数据，形成平台管控层，实现井下隐患智能化识别及可视化监测，对多灾害态势感知和分析，联合报警装置协同处理数据信息。执行控制层基于云端平台或边缘侧命令，实现煤矿多灾害预警及智能协同管控；探讨了数据孪生技术、多源异构信息融合技术、智能识别技术、协同管控技术、可视化推演技术、态势智能研判及多灾害避灾规划等关键技术在“云-边-端”架构中的应用。
Abstract:
In view of the problems that arise during the construction of the intelligent mine disaster management and control system, such as incomplete data collection layer, incomplete realization of edge computing technology, and imperfect construction of information intelligent comprehensive management and control platform. According to the relevant standards and guidelines for the intelligent construction of coal mines at the national, industrial and local levels, Coal mine disaster "cloud-edge-end" integrated intelligent and precise control technology system was proposed. The end side is responsible for comprehensive perception, adding mining laser gas sensors, mining laser CO, C2H2, C2H4 and other fire identification gas sensors, respirable dust sensors and intelligent surrounding rock stress sensors to form a data perception layer, which is responsible for the intelligent perception of multi-disaster data information in coal mines. At the same time, wind power gas locking devices, gas power-off devices, automatic sprinkler systems, coal seam water injection, spray dust removal, adjustment design plans, scientific support, disaster avoidance routes and emergency broadcasts are added to form an executive control layer. The edge side is responsible for local data analysis and processing, adding edge computing devices to form an edge computing layer to achieve linkage control with disaster measures. The cloud platform collects all edge-side perception data, business data, and Internet data to form a platform management and control layer, enabling intelligent identification and visual monitoring of underground hazards, perception and analysis of multiple disaster situations, and coordinated processing of data information with alarm devices. The execution control layer realizes multi-disaster early warning and intelligent collaborative management of coal mines based on cloud platform or edge-side commands. The application of key technologies such as data twin technology, multi-source heterogeneous information fusion technology, intelligent identification technology, collaborative management technology, visualization deduction technology, situation intelligent analysis and multi-disaster disaster avoidance planning in the "cloud-edge-end" architecture was discussed.
下载:
