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作 者:张帝 汪婵 周小杰 权悦 国海 赵端[2] ZHANG Di;WANG Chan;ZHOU Xiaojie;QUAN Yue;GUO Hai;ZHAO Duan(An Hui Science and Technology University,School of Electrical and Electronic Engineering,Bengbu 233100,China;Internet of Things(Perception Mine)Research Center,ChinaUniversity of Mining and Technology,Xuzhou 221008,China)
机构地区:[1]安徽科技学院电气与电子工程学院,安徽蚌埠233100 [2]中国矿业大学物联网(感知矿山)研究中心,江苏徐州221008
出 处:《牡丹江师范学院学报(自然科学版)》2022年第1期47-53,共7页Journal of Mudanjiang Normal University:Natural Sciences Edition
基 金:国家重点基础研究发展计划(973)项目(2014CB046300);安徽省教育厅重点项目(KJ2019A0803);安徽科技学院校级自然科学研究项目(2021zryb07)。
摘 要:设计一款煤矿井下突水监测及预警系统.系统以STM32单片机作为主控芯片,搭载嵌入式实时操作系统uC/OS-Ⅲ,通过各传感器对井下的水温、水压、水流量、围岩应力等信息进行实时感知和处理;利用LoRa智能网关将异常水文信息上传到地面远程监控预警平台,预警突水事故;监控服务端将预警结果下发到井下监测站,便于井下工作人员实时准确了解工作面的水情安全状态.系统测试结果表明,该系统水文参数采集精度均在1.5%内,通信丢包率不超过5%,平均功耗较低.A underground hydrological monitoring and early warning systems in coal mines was designed by this paper.The system uses STM32 single-chip microcomputer as the main control chip,and is equipped with an embedded real-time operating system uC/OS-Ⅲ to perceive and process the water temperature,water pressure,water flow,surrounding rock stress and other hydrological status information of each monitoring site in the well through various sensors.The abnormal hydrological information was uploaded to the ground of remote monitoring and early warning platform by Lora smart gateway which can provide warming and prevent water inrush accidents.The monitoring server can send the early warning results to the underground monitoring station,so that the underground workers can accurately understand the water regime and safety status of the working face in real time.After system testing,the system’s hydrological parameter acquisition accuracy is within 1.5%,the communication packet loss rate does not exceed 5%,and the average power consumption is very low.
分 类 号:TD713[矿业工程—矿井通风与安全]
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