摘要
针对传统平铺式绞吸清淤存在路径盲目、作业效率低及二次污染等问题,提出基于SPT算法的智能调度工法。通过水下地形分区、SPT算法优化清淤路径、高精度定位实现多船协同作业,将清淤区域连续单元格转化为离散清淤点并按作业时长升序分配,结合环保措施控制扰动。天福庙水库清淤工程验证显示,应用该算法较传统方式缩短工期90天,为复杂水域清淤提供了高效智能化方案。
To address the problems of blind paths,low efficiency,and secondary pollution in traditional blanket-type cutter suction dredging,an intelligent scheduling method based on the SPT algorithm is proposed.By means of underwater terrain partitioning,SPT algorithm-based optimization of dredging paths,and high-precision positioning to realize multi-vessel coordination,the continuous riverbed is transformed into discrete dredging points that are allocated in ascending order of operation time,combined with environmental protection measures to control disturbance.Verification in the Tianfumiao Reservoir dredging project shows that the application of this algorithm shortened the construction period by 90 days compared with traditional methods,providing an efficient and intelligent solution for dredging in complex water areas.
作者
吴金燕
胡伟
杜鹏
WU Jinyan;HU Wei;DU Peng(Hubei Haoyuan Construction Engineering Co.,Ltd.,Yichang 443100,China;Yichang Yineng Hydropower Co.,Ltd.,Yichang 443100,China;Yiling Water Resources Utilization Service Center of Yichang City,Yichang 443100,China)
出处
《中国水能及电气化》
2025年第12期4-9,共6页
China Water Power & Electrification
关键词
智能调度
SPT算法
路径优化
清淤工程
intelligent scheduling
SPT algorithm
path optimization
dredging project
