The invention relates to the technical field of port automation equipment control and monitoring, in particular to a quay crane operation blind area monitoring system, which comprises the following steps: firstly, acquiring multi-dimensional environment data of an operation area, and generating optimized three-dimensional scene data through a self-adaptive modal distribution algorithm; then, performing risk assessment on the behavior characteristics and the equipment state by using a nonlinear prediction model, generating multi-level risk assessment data, and triggering early warning; and finally, real-time path adjustment and dynamic control of sling operation are realized through a self-adaptive control and self-correction module. According to the invention, the operation safety and precision of the lifting appliance and the capability of adapting to complex environments are obviously improved.
本发明涉及港口自动化设备控制与监测技术领域,尤其涉及一种岸桥作业盲区监测系统,首先,采集作业区域的多维度环境数据,通过自适应模态分布算法生成优化的三维场景数据;然后,利用非线性预测模型对行为特征和设备状态进行风险评估,生成多层次的风险评估数据并触发预警;最后,通过自适应控制和自校正模块实现吊具操作的实时路径调整和动态控制;本发明显著提升了吊具操作的安全性、精度及适应复杂环境的能力。
Quay crane operation blind area monitoring system
一种岸桥作业盲区监测系统
2024-11-01
Patent
Electronic Resource
Chinese
IPC: | B66C Krane , CRANES |