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作 者:郭镪 GUO Qiang(Bridge and Tunnel Engineering Co.,Ltd.of China Railway No.3 Engineering Group,Handan,Hebei,056003,China)
机构地区:[1]中铁三局集团桥隧工程有限公司,河北邯郸056003
出 处:《智能城市应用》2024年第10期79-81,共3页Smart City Application
摘 要:工程机械行业涵盖了包括挖掘机、推土机和起重机在内的多种机械设备,这些设备在基础设施建设、矿业开采及工程项目中发挥着至关重要的作用。传统上,这些设备的操作和维护高度依赖于人工操作和经验判断,导致了设备效能和安全性上的局限。此外,设备的维护和故障诊断主要依赖于定期检查和人工评估,这种方法在应对复杂的操作环境和突发故障时显得不足。随着工程项目规模的扩大和作业环境的复杂化,传统模式的缺陷愈加显著。人工智能技术的迅猛发展为解决这些问题提供了全新的解决方案。借助数据驱动的方法,人工智能技术能够实现对设备运行状态的实时监控与分析,智能化地优化操作流程,预见性地规划维护需求,并在复杂情境下实现作业自动化。通过深度学习与智能控制机制,人工智能技术不仅提升了工程机械的工作效率,减少了人为操作偏差,降低了维护成本,还显著增强了设备的安全性。这些技术进步不仅推动了工程机械向智能化转型,也加速了整个工程建设领域的现代化进程。The construction machinery industry covers a variety of mechanical equipment,including excavators,bulldozers,and cranes,which play a crucial role in infrastructure construction,mining and engineering projects.Traditionally,the operation and maintenance of these devices have relied heavily on manual labor and empirical judgment,resulting in limitations in device efficiency and safety.In addition,the maintenance and fault diagnosis of equipment mainly rely on regular inspections and manual evaluations,which are insufficient in dealing with complex operating environments and sudden failures.With the expansion of engineering projects and the complexity of operating environments,the shortcomings of traditional models have become increasingly prominent.The rapid development of artificial intelligence technology provides new solutions to address these issues.With the help of data-driven methods,artificial intelligence technology can achieve real-time monitoring and analysis of device operating status,intelligently optimize operational processes,proactively plan maintenance requirements,and achieve job automation in complex scenarios.Through deep learning and intelligent control mechanisms,artificial intelligence technology not only improves the work efficiency of construction machinery,reduces human operation deviations,lowers maintenance costs,but also significantly enhances equipment safety.These technological advancements not only drive the transformation of construction machinery towards intelligence,but also accelerate the modernization process of the entire engineering construction field.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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