混凝土坝长效服役性态的多源信息融合推理方法

Multisource Information Fusion Reasoning Methods for Concrete Dam Long-term Operation

利用复杂系统具备学习功能的人工智能技术,构建了基于黑板结构的混凝土坝长效服役性态的多源信息融合推理分析体系,设计了混凝土坝长效服役性态的多源信息融合推理的知识库和推理机制,实现了对多源信息融合算法的综合控制,为提高混凝土坝服役性态安全评价的可靠性和准确性提供技术支持.

Multisource information fusion reasoning system of concrete dam long-term service status is built based on a blackboard structure, where artificial intelligence technology of the complex system has been taken. Furthermore, knowledge base and reasoning mechanism have been designed to achieve the integrated control of multisource information fusion algorithms. The system development example has shown that it will improve the reliability and accuracy in safety appraisal of concrete dam long-term operation status.