A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Cutter suction dredger intelligent control system based on reinforcement learning
The invention belongs to the field of cutter suction dredger intelligent control, and provides a cutter suction dredger intelligent control system based on reinforcement learning, which comprises an operation optimization system, a cutter suction dredger intelligent control module, a process control unit and an intelligent control subsystem, the intelligent control subsystem comprises a transverse movement control subsystem, a dredge pump control subsystem, a reamer control subsystem, an entry control subsystem and a bridge frame control subsystem. According to the method, self-learning model training can be carried out only through real ship data, rapid and effective learning can be carried out under the real ship complex environment condition, the intelligent optimization target can be achieved, and the dredging construction efficiency is improved while the labor cost is reduced.
本发明属于绞吸挖泥船智能化控制领域，提出一种基于强化学习的绞吸式挖泥船智能控制系统，包括作业优化系统、绞吸船智能控制模块、过程控制单元和智能控制子系统；所述智能控制子系统包括：横移控制子系统、泥泵控制子系统、绞刀控制子系统、进关控制子系统和桥架控制子系统。本发明仅需实船数据即可进行自学习的模型训练，能够在实船复杂环境条件下快速有效学习并达到智能优化目标，在降低人工成本的同时提升疏浚施工效率。
Cutter suction dredger intelligent control system based on reinforcement learning
The invention belongs to the field of cutter suction dredger intelligent control, and provides a cutter suction dredger intelligent control system based on reinforcement learning, which comprises an operation optimization system, a cutter suction dredger intelligent control module, a process control unit and an intelligent control subsystem, the intelligent control subsystem comprises a transverse movement control subsystem, a dredge pump control subsystem, a reamer control subsystem, an entry control subsystem and a bridge frame control subsystem. According to the method, self-learning model training can be carried out only through real ship data, rapid and effective learning can be carried out under the real ship complex environment condition, the intelligent optimization target can be achieved, and the dredging construction efficiency is improved while the labor cost is reduced.
本发明属于绞吸挖泥船智能化控制领域，提出一种基于强化学习的绞吸式挖泥船智能控制系统，包括作业优化系统、绞吸船智能控制模块、过程控制单元和智能控制子系统；所述智能控制子系统包括：横移控制子系统、泥泵控制子系统、绞刀控制子系统、进关控制子系统和桥架控制子系统。本发明仅需实船数据即可进行自学习的模型训练，能够在实船复杂环境条件下快速有效学习并达到智能优化目标，在降低人工成本的同时提升疏浚施工效率。
Cutter suction dredger intelligent control system based on reinforcement learning
一种基于强化学习的绞吸式挖泥船智能控制系统
LU JIAJUN (author) / WANG LIUYAN (author) / SHEN YANCHAO (author) / WANG WEI (author) / XU TING (author) / DAI WENBO (author) / YANG BO (author) / XU SHU (author)
2023-07-18
Patent
Electronic Resource
Chinese
| European Patent Office | 2024
| British Library Online Contents | 1995
Distributed dredging control system of intelligent cutter suction dredger
| European Patent Office | 2023