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作 者:孙金海[1,2] 明建[1,2] 胡东东 夏岩 SUN Jinhai;MING Jian;HU Dongdong;XIA Yan(School of Civil and Resource Engineering,University of Science and Technology Beijing,Beijing 100083,China;State Key Laboratory of High-Efficient Mining and Safety of Metal Mines,Ministry of Education,University of Science and Technology Beijing,Beijing 100083,China)
机构地区:[1]北京科技大学土木与资源工程学院,北京100083 [2]北京科技大学金属矿山高效开采与安全教育部重点实验室,北京100083
出 处:《矿业研究与开发》2022年第9期165-169,共5页Mining Research and Development
基 金:中央高校基本科研业务费项目(FRF-OT-16-015SY)。
摘 要:为提高矿山井下空间定位的准确性,应用物理模拟和计算机模拟等研究方法对基于接收信号强度指示(RSSI)测距的定位算法进行了研究。针对井下工程布置和生产环境特点,基于物联网理论和技术,设计了试验流程和试验装置。进行了基于ZigBee的硬件平台的井下RSSI测距试验、三边测量定位试验和实验室BP神经网络定位试验,并根据试验数据的均方误差确定了组合权值,进行了定位精度调整。试验结果表明,运用组合定位精度调整模型对定位数据进行处理后,有效地降低了异常数据对定位结果的影响,提高了定位结果的准确性和稳定性。In order to improve the accuracy of mine underground space positioning, the study of position algorithms based on RSSI distance measurement was carried out by using physical simulation and computer simulation. Based on characteristics of the engineering layout and the operational environment of the underground mine, the experimental process and devices were designed based on the theory and technology of the internet of things. The RSSI distance measurement experiment based on ZigBee hardware platform was carried out, as well as the trilateral measurement and positioning and the position experiment of BP neural network in the laboratory. According to the mean square error of the test data, the combined weight was determined and the positioning accuracy was adjusted. The experimental results show that after the combined positioning accuracy adjustment model is used to process the positioning data, the influence of abnormal data on the positioning results is effectively reduced, and the accuracy and stability of the positioning results are improved.
关 键 词:矿井人员定位 ZIGBEE RSSI 三边测量定位 BP神经网络
分 类 号:TD76[矿业工程—矿井通风与安全] TP274.5[自动化与计算机技术—检测技术与自动化装置]
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