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作 者:宋昊明 黄友锐[1] 陈珍萍[2] 徐善永[1] 张超[1] SONG Haoming;HUANG Yourui;CHEN Zhenping;XU Shanyong;ZHANG Chao(School of Electrical and Information Engineering, Anhui University of Science and Technology, Huainan 232001, China;School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China)
机构地区:[1]安徽理工大学电气与信息工程学院,安徽淮南232001 [2]苏州科技大学电子与信息工程学院,江苏苏州215009
出 处:《工矿自动化》2021年第4期51-56,61,共7页Journal Of Mine Automation
基 金:国家自然科学基金资助项目(61772033,51874205);安徽省科技重大专项计划项目(1603091012)。
摘 要:为满足煤矿井下网络海量节点间时间同步高精度、低能耗需求,基于多Sink节点非均匀分簇结构的煤矿井下时间敏感网络(TSN),提出了一种分布式精确时间同步算法。煤矿井下TSN分为3层:包含所有Sink节点的TSN汇聚层;Sink节点与各自通信半径内所有簇首节点组成的主网络;簇首节点与簇中普通节点组成的次网络。TSN汇聚层应用gPTP算法实现Sink节点间纳秒级时间同步;主网络中采用基于卡尔曼滤波的优化算法预测并补偿频偏、相偏和噪声误差,提高网络时间同步精度;次网络利用基于广播的单双向混合同步算法减少同步消息包数。仿真结果表明,该算法能有效提高网络时间同步精度与稳定性,减少网络时间同步能耗。In order to meet the requirements of high accuracy and low energy consumption of time synchronization among massive nodes of coal mine underground network,a distributed accurate time synchronization algorithm is proposed based on the time-sensitive network(TSN)of coal mine with non-uniform clustering structure of multiple Sink nodes.The underground coal mine TSN is divided into 3 layers,including the TSN convergence layer containing all Sink nodes,the main network consisting of Sink nodes and all cluster head nodes within their respective communication radius,and the secondary network consisting of cluster head nodes and common nodes in the cluster.The TSN convergence layer uses the gPTP algorithm to achieve nanosecond time synchronization among Sink nodes.The main network uses an optimized algorithm based on Kalman filter to predict and compensate for frequency offset,phase offset and noise errors so as to improve the network time synchronization accuracy.The secondary network uses the broadcast-based single and two way hybrid synchronization algorithm to reduce the number of synchronization message packets.The simulation results show that the proposed algorithm can improve the accuracy and stability of network time synchronization effectively and reduce the energy consumption of network time synchronization.
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