Wu Qingqing, Wang Yufei, Zhai Di, Lu Yang, Zhong Cheng, Liu Yihan, Li Yuxuan
China Electric Power Research Institute, Beijing 102209, China.
State Grid Xiongan New Area Electric Power Supply Company, Xiongan 071000, China.
Sensors (Basel). 2025 Feb 21;25(5):1317. doi: 10.3390/s25051317.
The widespread application of terminal sensors in power pipe galleries (PPGs) has significantly improved our ability to monitor power equipment status. However, the difficulties in battery replacement caused by confined space and energy loss caused by communication conflicts between sensors due to existing low-power communication strategies results in a lack of reliable energy supply for terminal sensors. In this context, a low-power communication strategy for terminal sensors is proposed. Firstly, a demand analysis is conducted on the status monitoring of PPGs, and a technical framework for low-power communication of terminal sensors is proposed. Afterward, a system model for the low-power communication of terminal sensors is established based on cognitive backscatter technology. Subsequently, key technologies, such as RF energy harvesting of terminal sensors and distance-energy level coupling analysis, are proposed to achieve continuous energy supply and avoid communication conflicts in the system model. Finally, a wireless communication simulation environment for PPGs is established to simulate the status monitoring process, based on terminal sensors, in order to verify the effectiveness of the proposed method.
终端传感器在电力管廊（PPG）中的广泛应用显著提高了我们监测电力设备状态的能力。然而，由于现有低功耗通信策略导致的有限空间内电池更换困难以及传感器之间通信冲突造成的能量损失，使得终端传感器缺乏可靠的能量供应。在此背景下，提出了一种终端传感器的低功耗通信策略。首先，对PPG的状态监测进行需求分析，并提出终端传感器低功耗通信的技术框架。之后，基于认知反向散射技术建立终端传感器低功耗通信的系统模型。随后，提出终端传感器的射频能量收集和距离-能量水平耦合分析等关键技术，以实现系统模型中的持续能量供应并避免通信冲突。最后，建立PPG的无线通信仿真环境，基于终端传感器模拟状态监测过程，以验证所提方法的有效性。
