桥梁安全性和耐久性问题日益引起社会关注。无线传感节点（Wireless Sensor Nodes，WSNs）因廉价、紧凑、易通信及易植入为混凝土桥梁结构健康监测（Structural Health Monitoring，SHM）带来了新机遇。供能问题是植入式WSNs为桥梁长期SHM的主要瓶颈，亟待解决。.课题从混凝土结构特征出发，建立多层介质输能信道模型；以微波为能量媒介，在物理域理解混凝土结构中电磁波传输机理，建立传输效率模型；在信号域理解混凝土桥梁结构背景下多径、遮挡效应对无线供能系统效率的影响，揭示其对传输效率的恶化机理；开展智能天线自适应多节点输能、超材料功率场聚焦调控及收、发匹配优化研究，建立多节点、高效无线供能方法体系；开展无线供能实验方法和评估体系研究，建立验证系统。.本研究将为混凝土桥梁SHM下一代植入式WSNs的全天候、高效远距离供能的突破提供理论依据和实验方法。

The issue of bridge safety and durability has increasingly attracted public attention. With the advantage of low cost, compactness, easy communication and easy implantation, Wireless Sensor Nodes (WSNs) bring great opportunities for structural health monitoring (Structural Health Monitoring, SHM) of concrete bridges. The life limitation of WSNs’ energy supply is the main bottleneck of the life-long SHM for bridge, and it is urgent to solve them..The project starts from the characteristics of concrete bridge structures, establishes a multi-layer dielectric energy transmission channel model. Using microwaves as the energy medium, we will understand the electromagnetic wave transmission mechanism in concrete structures in the physical domain，and establish an energy transmission efficiency model; In the signal domain, with understanding the multipath of the concrete bridge structure background, the effect of occlusion effect on the efficiency of wireless power supply system will reveal the deterioration mechanism of its transmission efficiency; Adaptive multi-node power transmission with smart antennas, power field adjustment based on metamaterial, and optimization of receiving-transmitting matching will be carried out. A multi-node, high-efficiency wireless energy supply method system will be established; The wireless energy supply experiment methods and evaluation systems will be proposed, and the verification system will also be established..This study will provide a theoretical framework and experimental method for the breakthrough of all-weather, high-efficiency long-distance energy supply for next-generation implantable WSNs for concrete bridge SHM.