摘要
桥梁抢修决策系统是根据桥梁破坏现场情况及桥梁有关数据,利用桥梁抢修专家经验和知识进行推理,制订可能的抢修方案,并进一步对方案进行评估,提出最佳抢修方法的抢修决策专家系统。由于系统利用了计算机和人工智能技术,大大缩短了决策时间。在系统的设计中,各部分都统一地采用了面向对象的知识表示方法和问题求解环境,从而提高了系统的灵活性、可扩充性和可维护性。系统以模糊规则推理机制贯穿全部问题求解过程。文中还描述了在临时梁长配置中的最优约束满足问题,并提出了一个高效的算法。
The bridge rush-repairing decision making system is used to put forward possible rush-repairing plans by reasoning according to the situation of the bridge damaged field,relevant data about the bridge,and the experiences and knowledges of the bridge rush-repairing experts. Furthermore,by evaluating these plans, an optimal rush-repairing method may be proposed by this expert system. Due to the computer and artificial intelligence technology,the decision making time is greatly reduced. In the design of the system,the object-oriented knowledge representation method and the problem solving environment are adopted uniformly in every part. Therefore,the flexibility,expansibility and maintainability of the system are improved. The system adopts the fuzzy rule reasoning mechanism throughout the whole problem solving process. The paper also describes the optimal constraint satisfaction problem in the configuration of the temporary beams,and presents an efficient algorithm.
出处
《铁道学报》
EI
CSCD
北大核心
1996年第3期86-91,共6页
Journal of the China Railway Society
关键词
抢修
专家系统
面向对象
铁路桥
决策系统
bridge rush-repairing
expert system
object-oriented
constraint satisfaction