摘要
为了解决绞吸式挖泥船决策过程自动化程度低的问题,针对现有的绞吸式挖泥船操作和故障解决措施,设计了基于Python的疏浚作业辅助决策系统。通过Python程序设计语言,将疏浚决策知识与知识库相结合,实现对知识库中信息的可视化管理,并基于该知识库,建立疏浚作业辅助决策系统。该系统可辅助作业人员在疏浚作业过程中进行有效的决策,降低操作复杂度,为疏浚作业的智能化与自动化打下一定基础。
In order to solve the problem of low automation of the decision-making process of cutter suction dredger,a Python-based dredging operation decision support system was designed for existing cutter suction dredger operation and fault resolution measures.By using Python,the dredging decision making knowledge was combined with the knowledge base to realize visual management of the information in the knowledge base.On this basis,a decision support system for dredging operationwas established.The system could assist the operator to make effective decisions during the dredging operation,reduce the complexity of the operation,and lay a foundation for the intellectualization and automation of the dredging operation.
作者
高腾
许焕敏
周丰
GAO Teng;XU Huanmin;ZHOU Feng
出处
《现代机械》
2019年第6期84-88,共5页
Modern Machinery
关键词
绞吸式挖泥船
PYTHON
知识库
决策知识
辅助决策系统
cutter suction dredger
Python
knowledge base
decision making knowledge
decision support system
