With the rapid development of the social economy, high-voltage transmission lines as power supply infrastructure are increasing, subsequently presenting a new challenge to the effective monitoring of transmission lines. The dynamic sensor network integrated with robots can effectively solve the elastic monitoring of transmission lines, but the problems of real-time performance, energy consumption and economy of the network need to be solved. To solve this problem, a dynamic network deployment method based on the hybrid hierarchical network (HHN) is proposed to realize a low-cost, energy-saving and real-time dynamic sensing system for overhead high-voltage transmission lines. Through case analysis and simulation, combined with the vague set multi-attribute decision-making method (MADM) with scheme preference, the network deployment and optimization results under multi-parameter constraints are obtained.

中文翻译：

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机器人混合层次网络，用于感知智能电网的环境变量

随着社会经济的飞速发展，高压输电线路作为供电基础设施的日益增多，对有效监测输电线路提出了新的挑战。与机器人集成的动态传感器网络可以有效地解决传输线的弹性监控问题，但需要解决网络的实时性，能耗和经济性等问题。为了解决这个问题，提出了一种基于混合层次网络的动态网络部署方法，以实现一种低成本，节能，实时的架空高压输电线路动态传感系统。通过案例分析和模拟，结合带有方案偏好的模糊集多属性决策方法（MADM），