Optimization Design Method of Distributed Perception Network for Hydraulic Gate Hoisting Operation

Abstract

Building a highly reliable and low latency distributed perception network for dynamic operation scenarios of hydraulic gate hoists is an important foundation for achieving intelligent operation and maintenance of gate hoists. The study aims to address the issues of poor network signal coverage, high electromagnetic interference, and obstruction of mountains and concrete structures in the hydraulic gate opening and closing operation scenario. Thus, a transmission characteristic function of a single hop network in the hydraulic gate opening and closing operation scenario is constructed based on the Kriging method. A distributed perception network optimization problem model is established with network transmission reliability and deployment cost as optimization objectives, and an improved ant colony algorithm is used to solve it. A set of distributed perception network optimization design methods for hydraulic gate opening and closing operations is proposed. The prototype simulation experiment of a certain hydropower station gate hoist shows that the method proposed in this paper has good feasibility.