The invention discloses an intelligent construction hoist control system, which performs data analysis and feature fusion on signal strength, bit error rate and equipment state in a communication process by adopting a data processing technology based on deep learning so as to obtain communication constraint condition features fused with multi-modal information. And semantic guidance interaction is carried out on the communication constraint condition and the communication demand to fully understand potential association between the communication demand and the constraint, so that intelligent recommendation optimization of the SF value is realized, optimal configuration of communication parameters of the LoRa module is effectively realized, the anti-interference capability and transmission reliability of the signal are enhanced, and the communication performance of the LoRa module is improved. The communication requirements of different areas can be met, and therefore it is ensured that the elevator control system can keep efficient and stable communication under various conditions.

    本申请公开了一种智能施工升降机控制系统,其通过采用基于深度学习的数据处理技术对通信过程中的信号强度、误码率和设备状态进行数据分析和特征融合,以获取融合多模态信息的通信约束条件特征,进而通过将通信约束条件与通信需求进行语义引导交互,以充分理解通信需求与约束之间的潜在关联,从而实现SF值的智能推荐优化,有效实现了LoRa模块通信参数的优化配置,增强了信号的抗干扰能力和传输可靠性,使其能够适应不同区域的通信需求,从而确保升降机控制系统在各种条件下都能保持高效和稳定的通信。


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    Titel :

    Intelligent construction hoist control system


    Weitere Titelangaben:

    智能施工升降机控制系统


    Beteiligte:
    CAI YANYAN (Autor:in) / LIN FENG (Autor:in) / XU CHENHAN (Autor:in) / YE ZHOUPENG (Autor:in) / PAN JIANDONG (Autor:in) / CHEN HONGYING (Autor:in) / XU CHENXI (Autor:in)

    Erscheinungsdatum :

    14.02.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    B66B Aufzüge , ELEVATORS



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