The invention relates to a reinforcement cage hoisting system, and belongs to the technical field of reinforcement cage molding systems. Comprising a control terminal, a detection module, a cloud platform, a CNN neural network model and an execution module, and the detection module, the cloud platform, the CNN neural network model and the execution module are in communication connection with the control terminal; the detection module detects and obtains hoisting and mold entering data of a reinforcement cage and transmits the hoisting and mold entering data to the CNN neural network model, the CNN neural network model analyzes the hoisting and mold entering data of the reinforcement cage to obtain errors and transmits the errors to the control terminal, and the control terminal uploads the error data and working parameters of equipment to the cloud platform. The cloud platform compares the error data of hoisting and mold entering of each group of reinforcement cages within a period of time and transmits the equipment working parameters with the lowest error data to the control terminal of each equipment, and the control terminal instructs the execution module to operate. According to the invention, the mold-entering alignment precision of the small prefabricated framework is improved, and the quality of a prefabricated part is guaranteed.

    本发明涉及钢筋笼吊运系统,属于钢筋笼入模系统的技术领域。包括控制终端、检测模块、云平台、CNN神经网络模型以及执行模块,所述检测模块、云平台、CNN神经网络模型以及执行模块均与控制终端通信连接;所述检测模块检测获取钢筋笼的起吊以及入模数据并传输到CNN神经网络模型,所述CNN神经网络模型分析钢筋笼的起吊及入模数据获得误差并传输至控制终端,所述控制终端将误差数据及所属设备的工作参数上传至云平台,所述云平台比对一段时间内各组钢筋笼的起吊及入模的误差数据并将误差数据最低的设备工作参数传输至各台设备的控制终端,所述控制终端指令执行模块进行作业。本申请提高了小型预制构架的入模对位精度,保障的预制构件的质量。


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    Title :

    Reinforcement cage hoisting system


    Additional title:

    钢筋笼吊运系统


    Contributors:
    WU XIANGDONG (author) / LIANG HUANGYU (author) / LIU PENG (author) / YANG HUAI (author) / HUANG SHAOXIONG (author) / LIU XIAOFEI (author) / LI XIAOMING (author) / SHEN ANQI (author) / MA QIANG (author) / JI CHENFEI (author)

    Publication date :

    2024-02-06


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66C Krane , CRANES / B66D Haspeln , CAPSTANS



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