The invention relates to the technical field of constructional engineering, in particular to an anti-collision method based on a tower crane anti-collision early warning system, which comprises the following steps: based on real-time environmental monitoring data, analyzing and integrating tower crane operation state data and environmental factors including wind speed, temperature and humidity by adopting a long short-term memory network algorithm, and identifying safety risks; and predicting the movement track of the crane, and generating safety distance data through data normalization processing. According to the invention, through the long-short-term memory network, combined with environment monitoring, crane track prediction, a random forest algorithm, operator behavior analysis, early warning efficiency improvement, an A * algorithm and Nash equilibrium are adopted, multi-machine collision avoidance is coordinated, through a genetic algorithm and a simulated annealing algorithm, an operation area is optimized, and obstacles are identified by using a convolutional network. A fault tree and event tree analysis method is adopted to analyze safety risks, a decision tree and a support vector machine early warn operation abnormity, and safety management efficiency is optimized.

    本发明涉及建筑工程技术领域,具体为基于塔式起重机避碰预警系统的防碰撞方法,包括以下步骤,基于实时环境监测数据,采用长短期记忆网络算法,分析整合塔式起重机运行状态数据和环境因素,包括风速、温度、湿度,识别安全风险,预测起重机运动轨迹,通过数据归一化处理,生成安全距离数据。本发明中,通过长短期记忆网络,结合环境监测预测起重机轨迹,利用随机森林算法,分析操作员行为,提高预警效率,采用A*算法和纳什均衡,协调多机避碰,通过遗传算法和模拟退火算法,优化作业区,利用卷积网络,识别障碍物,采用故障树和事件树分析法,分析安全风险,决策树与支持向量机预警操作异常,优化安全管理效率。


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    Title :

    Anti-collision method based on tower crane anti-collision early warning system


    Additional title:

    基于塔式起重机避碰预警系统的防碰撞方法


    Contributors:
    WEN QIFU (author) / LIU SIDE (author) / WANG HONG (author) / YAN ZHIYUN (author) / SONG FENGWANG (author) / LIU HUI (author) / LI ZHIQIAN (author) / ZHANG WENZHI (author) / CAI GENZAI (author)

    Publication date :

    2024-08-02


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B66C Krane , CRANES / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V




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