港口大型装卸机械设备运行状态智能监测技术探讨  

Exploration of Intelligent Monitoring Technology for the Operation Status of Large-scale Port Loading and Unloading Machinery Equipment

作　　者：王庆军 徐磊 郑春雨 张乾 Wang Qingjun;Xu Lei;Zheng Chunyu;Zhang Qian(Qingdao Qianwan Container Terminal Co.,Ltd.,Qingdao 266500)

机构地区：[1]青岛前湾集装箱码头有限责任公司,青岛266500

出　　处：《设备监理》2024年第3期66-69,共4页Plant Engineering Consultants

摘　　要：本文以港口大型装卸机械设备与智能监测技术为研究对象,以合理运用智能监测技术为目标,从智能监测技术内容与实现两个维度开展研究,阐述了物联网、BP神经网络、信号采集、数据传输、数据处理五项技术;并基于实例探究法,围绕设备运行状况与实际监测需求,运用智能监测技术完成系统开发,论述系统结构、软件构成,最后经测试验证系统能够消除设备监控盲区,实现智能监测技术价值,有效提升港口大型装卸机械设备运行状态智能监测技术可操作性。This article takes the large-scale loading and unloading machinery equipment and intelligent monitoring technology in ports as the research object,with the goal of rational use of intelligent detection technology.It conducts research from two dimensions of intelligent monitoring technology content and implementation,and elaborates on five technologies:Internet of Things,BP neural network,signal acquisition,data transmission,and data processing.Based on the example exploration method and focusing on the operation status of equipment and actual monitoring needs,the system development is completed using intelligent monitoring technology.The system structure and software composition are discussed.Finally,through testing and verification,the system can eliminate blind spots in equipment monitoring,realize the value of intelligent monitoring technology,and effectively improve the operability of intelligent monitoring technology for the operation status of large-scale port loading and unloading machinery equipment.

关 键 词：港口 大型装卸机械设备 运行状态 智能监测技术 

分 类 号：TB497[一般工业技术]