现代电子技术2025，Vol.48Issue(7)：16-22,7.DOI:10.16652/j.issn.1004-373x.2025.07.003
基于改进OSELM算法的煤矿紧急救援通信系统研究
Research on coal mine emergency rescue communication system based on improved OSELM algorithm
摘要
Abstract
The accuracy and stability of underground communication in coal mine is crucial in emergency rescue.At present,the positioning accuracy of underground communication system in coal mine is poor.Therefore,a coal mine emergency rescue communication system based on an improved online sequential extreme learning machine(OSELM)algorithm is proposed,and corresponding simulation experiments are conducted.The results show that the median packet loss rate of the coal mine emergency rescue communication system constructed on the basis of the improved OSELM algorithm in Experiment 1 and Experiment 2 is 1.7×10-4 and 1.4×10-4,respectively.Its median packet loss rate is significantly lower than those of the communication systems based on the other comparative algorithms.The positioning accuracy of the improved OSELM algorithm,EfficientNet algorithm,OSELM algorithm and ELM algorithm are 96.8%,83.8%,76.4%and 71.0%,respectively,in Experiment 1 and 95.9%,82.5%,75.8%and 70.4%,respectively,in Experiment 2.It can be seen that the improved OSELM algorithm is superior in terms of positioning accuracy,and the communication quality of the coal mine emergency rescue communication system based on this algorithm is also higher.Experimental data prove that the study provides an efficient and stable method for the coal mine emergency rescue communication system,and an effective solution strategy for practical problems.关键词
煤矿紧急救援/通信系统/定位精度/通信质量/丢包率/超限学习机算法Key words
coal mine emergency rescue/communication system/positioning accuracy/communication quality/packet loss rate/OSELM分类
信息技术与安全科学引用本文复制引用
郑小磊..基于改进OSELM算法的煤矿紧急救援通信系统研究[J].现代电子技术,2025,48(7):16-22,7.基金项目
发改委、应急管理部重点课题-国家级安全生产监管监察技术支撑能力建设项目(2018ZX001) （2018ZX001）
中国煤炭科工集团面上项目(2022-2-MS008) （2022-2-MS008）
中国煤炭科工集团青年基金项目(2022-2-QN006) （2022-2-QN006）
中煤科工集团常州研究院有限公司科研项目(2023TY6005,2023TY6009) （2023TY6005,2023TY6009）
