The invention relates to the field of goods and material intelligent managing, in particular to the field of goods and material intelligent managing including large goods and material lifting, and particularly relates to a precise automatic fork inlet method based on a machine vision recognition technology. The vision recognition technology is used for automatically obtaining the fork inlet depthvalue S, the whole process does not need manual participation, and lifting fork inlet operation automation, standardization and precision can be achieved. Meanwhile, an automatic manner is used for obtaining the fork inlet depth, the method can be combined with an automatic site lifting system, the fork inlet depth value is transmitted to a lifting appliance master control system, and the necessary basic data and technical support can be provided for full-automatic unmanned lifting.
本发明涉及物资智能管理领域,特别是涉及包括有大型物资吊装的物资智能管理领域,更为具体的说是涉及基于视觉识别技术的精准自动进叉方法,利用视觉识别技术自动得到进叉深度值S,整个过程无需人工参与,实现了吊装进叉操作自动化、标准化、精确化。同时,利用自动化的方式获得进叉深度可以与具备自动化现场吊装的系统结合,通过将该进叉深度值传输至吊具总控系统,为实现全自动无人吊装提供必要的基础数据和技术支撑。
Precise automatic fork inlet method based on machine vision recognition technology
基于机器视觉识别技术的精准自动进叉方法
2020-06-05
Patent
Electronic Resource
Chinese
IPC: | B66C Krane , CRANES / B66F HOISTING, LIFTING, HAULING, OR PUSHING, NOT OTHERWISE PROVIDED FOR, e.g. DEVICES WHICH APPLY A LIFTING OR PUSHING FORCE DIRECTLY TO THE SURFACE OF A LOAD , Hub-, Verhol- oder Schubvorrichtungen, soweit nicht anderweitig vorgesehen, z.B. Vorrichtungen mit unmittelbarer Krafteinwirkung auf die Last |
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