摘要
Abstract
A set of optimization solutions based on big data fusion is proposed to address the shortcomings in data processing and strategy response of highway electromechanical systems.Traditional systems have technical bottlenecks in data processing capabilities,real-time performance,and system scalability,which limit traffic control and emergency response capabilities.To this end,big data parallel processing and cloud computing architecture are adopted to enhance data throughput and real-time analysis capabilities.By standardizing API interfaces and data exchange platforms,data silos are broken down,enabling cross system collaboration.Middleware and standardized communication protocols are combined to enhance system integration capabilities and compatibility.Blockchain and AES-256 encryption technology are introduced to enhance system security and privacy protection.Simulation and practical application results show that the optimization scheme reduces system data processing time by 66.67%,response time by 73.33%,improves accident handling efficiency by 60%,and increases traffic flow prediction accuracy to 92%.The research results provide a technical path and practical support for the intelligent upgrade of highway electromechanical systems.关键词
高速公路/机电系统/信息化平台/大数据融合/区块链技术Key words
expressway/mechanical and electrical systems/information technology platform/big data integration/blockchain technology分类
交通工程
