Research on Fault Prediction Method of Communication Equipment on Highways Based on Big Data Analysis
The reliable operation of highway communication equipment is very important to traffic safety,but the traditional fault management method is inefficient.In order to solve this problem,a fault prediction method of expressway communication equipment based on big data analysis is proposed.This method uses the Internet of Things technology to collect the whole life cycle data of equipment,extracts the key information through feature engineering,and constructs the multi-model integrated learning prediction model.The experimental results show that this method is superior to the traditional single model in accuracy,recall rate and F1 score,which provides a new idea and method for the intelligent operation and maintenance of highway communication equipment,and is of great significance to improve the reliability and safety of highway communication system.
highway communication equipmentfailure predictionbig data analysis
NETL
NSTL
万方数据
