期刊文献+

基于激光扫描的抱罐车自动抱罐安全控制技术

Automatic safety control technology for holding tank trucks based on laser scanning
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摘要 随着人工智能战略在各个行业开始探索创新应用,在冶金行业内实现特种物流装备的智能化作业已经成为发展趋势,其远程超视距操控技术应用便是关键的突破口。冶金行业内的渣处理作业属于封闭场景特种物流装备作业,具有典型物流运输的特点,一旦新应用技术的创新突破,将可以达到以点带面,促进新技术在整个行业的推广应用,提升行业工作效率和安全水平,强化企业运营竞争力,逐步向大数据和基于工业互联网的智能物流迈进。本文就远程超视距操控技术在抱罐车作业的抱罐环节,如何实现安全、可靠、可控作业,引入了激光智能感知控制理念,详实论述了识别检测的方法,希望能为远程超视距操控抱罐车解决其在抱罐作业环节的安全可靠性,提供可以借鉴的技术方案。 As the artificial intelligence strategy begins to explore innovative applications in various industries,the realization of intelligent operation of special logistics equipment in the metallurgical industry has become a development trend,and the application of its remote over-the-horizon control technology is the key breakthrough.The slag treatment operation in the metallurgical industry belongs to the special logistics equipment operation in the closed scene,which has the characteristics of typical logistics transportation.Once the innovation breakthrough of new application technology,it will be able to achieve the promotion and application of new technology in the entire industry,improve the work efficiency and safety level of the industry,and strengthen the operation competitiveness of enterprises.Step by step to big data and intelligent logistics based on the industrial Internet.This paper introduces the laser intelligent perception control concept on how to achieve safe,reliable and controllable operation in the holding process of the holding tank truck with the remote beyond visual range control technology,and discusses the identification and detection methods in detail,hoping to provide a technical scheme that can be used for reference to solve the safety and reliability of the holding tank truck in the holding process with the remote beyond visual range control technology.
作者 杨国年 罗旭军 侯栖 YANG Guonian;LUO Xujun;HOU Xi
出处 《有色设备》 2024年第1期80-85,共6页 Nonferrous Metallurgical Equipment
关键词 远程超视距 激光雷达 智能感知 云数据处理 拟合算法业 无人化 智能化 绿色化 long distance beyond visual range laser radar intelligent perception cloud data processing fitting algorithm industry unmanned intelligent green
作者简介 第一作者:杨国年(1975-),男,甘肃金昌人,工程师,大学本科,主要从事设备机械、电气仪表、自动化管理,现任广西金川有色金属有限公司总工程师。
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