The Signal Lightning Protection System of High-Rise Buildings Based on Ga-Bp Neural Network

Abstract

Now, in the rapidly developing urban environment, the scale of high-rise buildings increases significantly, which also adds many signaling systems. However, in the actual development process, the preference system in buildings is often destroyed by lightning strikes, and over time, this phenomenon does not decrease, but shows a rapid growth trend. At the present stage, China does not meet the strict lightning protection design requirements of high-rise buildings. Through the design and adjustment of BP neural layer, hidden layer and output layer, the BP neural network model of BP is established. According to the specific data of high-rise buildings and the judgment of relevant experts, the safety assessment samples including the lightning protection system, alarm system, safety evacuation system and management factors of high-rise buildings are collected. After 4 groups of 100 simulated lightning experiments in each group, the effective lightning detection rate of the optimized high-rise building signal lightning protection system based on GA-BP neural network is more than 90%, and the alarm time is about 3 times faster than the traditional lightning protection system, which perfectly meets the lightning protection needs of high-rise buildings.