Design And Key Technology Realization Of Ice Monitor System For Smart Grid Power Transmission Line

China is one of serious icing power transmission line regions. Icing on the transmission line poses serious threat to the safe operation of transmission line, and cause significant economic losses and social impacts. How to effectively monitor the transmission line ice become the each power grid company's problems. The developing of Internet of Things (IOT) technology brings the next generation of IT technology to the smart grid construction, providing a broader and reliable technology for the intelligent grid, and accelerating the pace of grid intelligence. "Passive", sensor network technology has become a key technology to solve the difficult problem of ice monitoring.Inspired by the program of existing ice monitor system, using IOT technology, and combined with the fiber sensor network technology and OPPC/OPGW fiber cable feature, resorting the form of Three-tier architecture of Internet of Things, a real time and passive power transmission line ice thickness monitor system based on FBG strain sensor was proposed. Firstly, this paper mainly described two programs of ice thickness system, including the principles, the key technologies of program realizations, and the solutions. Then, the simulation performance analysis and Experimental verification on system applications solutions was proposed. Lastly, the comparison, and the overall performance evaluation, and the exploration research of the two programs were presented.The specific of this papers as follows:1. Elaborated the technology principle and characteristic of ice thickness monitor system based on FBG. Comparative analyzed the principle and system performance of existing icing monitoring programs. With the analysis result, designed the "Three-tier architecture (Manage: application layer, Connect:transport layer, Devices:perceptive layer)" technical program of ice thickness monitor system.2. Analyzed the existing problems of ice monitor system, and deeply analyzed technical problems of ice monitor system perceptive layer, and proposed the solutions for technical problems. Designed and realized two programs for ice thickness system based on FBG, and analyzed system performance.3. Built simulation system for ice monitoring, simulated and analyzed the correctness of principles of ice monitor programs. Built experimental environment, validated the effectiveness and feasibility of the ice thickness monitor system in various conditions.