Abstract
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.
Highlights
With the rapid development of social economy, high-voltage transmission lines as power supply infrastructure are promptly increasing in number
In our previous research [1,2,3,4], a multi-robot cyber physical system (MRCPS), as shown in Figure 1, was proposed to solve the problem of sensing environmental variables of transmission lines. This novel system combines the characteristics of an inspection robot (IR), wireless sensor networks (WSNs), and a transmission line environment to realize remote monitoring of smart grids [1]
In the experiments with 50, 100, 200, 300, and 500 transmission line towers, compared with the deployment scheme solved by non-dominated sorting genetic algorithm-II (NSGA-II), the robot energy consumption in the deployment scheme solved by specific improvement of the improved PSO (SinPSO) was reduced by 76.1%, 78.5%, 66.3%, 74.3% and 77.8%, respectively, at the same deployment cost
Summary
With the rapid development of social economy, high-voltage transmission lines as power supply infrastructure are promptly increasing in number. The authors of [27] proposed a theoretical model for the deployment of an optical fiber splitter with the goal of cost and end-to-end delay optimization, and the model was solved by using particle swarm optimization (PSO) This method does not consider the energy consumption of nodes, and it lacks adaptability in different scenarios. Few studies have proposed to achieve the real-time monitoring of transmission lines by a robot inspection system based on a hybrid hierarchical network. We propose a hybrid hierarchical network and its optimization deployment method for MRCPS It can solve the problem of over the horizon real-time communication of inspection robot in key areas, and realize low-cost and high-efficiency real-time monitoring of transmission lines.
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