The invention provides a tower crane jacking operation AI camera monitoring scheme, which utilizes an AI camera identification technology to detect whether a jacking safety device is in a normal state or not, and transmits signals to a jacking control system or a tower crane control system according to various states of the jacking safety device to control jacking operation or tower crane operation. Safety detection in the jacking activity of the tower crane can be increased, the operation process can be standardized, the recognition precision is improved through AI on-site online training, solar charging and wireless communication are utilized, and operation and equipment mounting and dismounting are convenient. According to an existing traditional scheme, insertion of a pin shaft of a movable pin into a step hole and installation of a connecting bolt of a lower rotation part and a standard knot are operated by an operator, no detection means is arranged, and a detection scheme for preventing misoperation of the operator or the operator does not execute the operation does not exist. When a pin shaft of a movable pin is not correctly inserted into a step hole or a connecting bolt is not installed and fastened, tower crane jacking operation is carried out, and when the tower crane is operated to act, a jacking cross beam is easily placed incorrectly and other potential safety hazards easily exist, so that the problem that tower crane accidents occur frequently is solved.

    本发明提供了一种塔机顶升作业AI摄像头监控方案,该方案利用AI摄像头识别技术进行顶升安全装置是否处于正常状态的检测,并根据顶升安全装置的各种状态向顶升控制系统或者塔机控制系统传输信号,控制顶升作业或者塔机操作。本发明可以增加塔机顶升活动中的安全检测,规范作业流程,通过AI现场在线训练提升识别精度,利用太阳能充电及无线通信,方便作业和设备的安拆。解决了在现有传统方案下,活动销销轴插入踏步孔内以及下回转和标准节的连接螺栓安装是由作业人员操作,没有设置任何检测手段,没有防止作业人员操作失误或者作业人员未执行前述操作的检测方案,在活动销销轴未正确插入踏步孔内时或者在连接螺栓没有安装紧固时进行塔机顶升作业、操作塔机动作时容易存在顶升横梁放置不正确以及其他安全隐患,导致塔机事故多发的问题。


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    Title :

    Tower crane jacking operation AI camera monitoring scheme


    Additional title:

    一种塔机顶升作业AI摄像头监控方案


    Contributors:
    MA XIAOZHI (author) / FAN JUNHONG (author) / CHENG JIANGLONG (author) / ZHANG ZHIYI (author) / JIA XIANFENG (author)

    Publication date :

    2024-05-03


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66C Krane , CRANES



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