A Transmission Power Distribution Method Based on Lyapunov for Scraper Chain Tension Monitoring Network

Xiaodong Yan, Gongbo Zhou, Ping Zhou, Wen Wang, Lianfeng Han, Zhenzhi He
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Abstract

Using WSN technology to monitor the tension of the scraper chain can determine whether there is chain jam, chain broken and other failures, but the scraper and scraper chain are constantly moving, making continuous monitoring of the tension of the scraper chain through the monitoring node with limited energy has become a challenge. To reduce node transmission power consumption and extend the life of the monitoring network, this paper first establishes a tension monitoring network model for scraper chains. Then, based on the motion characteristics of the scraper conveyor, a monitoring node transmission power allocation method based on Lyapunov optimization theory is proposed. The simulation results indicate that the proposed method can ensure the stability of the monitoring network data queue and minimize the transmission power of the monitoring nodes. Compared with the full power allocation method, the proposed TPAL method reduces transmission power consumption by more than 15.6%.
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基于Lyapunov的刮板链张力监测网络传输功率分配方法
利用WSN技术对刮板链的张力进行监测,可以判断是否存在卡链、断链等故障,但刮板和刮板链是不断运动的,使得通过监测节点以有限的能量对刮板链的张力进行连续监测成为一项挑战。为了降低节点传输功耗,延长监测网络的使用寿命,本文首先建立了刮板链条张力监测网络模型。然后,根据刮板输送机的运动特性,提出了一种基于李亚普诺夫优化理论的监测节点传输功率分配方法。仿真结果表明,该方法能够保证监控网络数据队列的稳定性,使监控节点的传输功率最小。与全功率分配方法相比,所提出的TPAL方法传输功耗降低15.6%以上。
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