初探大坝病变自适应分析诊断体系

System of Self-adaptive Analysis and Diagnosis on Abnormal Characteristics of Dams

基于大量与大坝安全相关的信息(数据、规则、知识等),采用定性与定量综合集成的方法将信息、人工智能、材料、工程与管理等学科的理论和方法进行科学、有效的交叉融合。采用正向思维、逆向思维、系统思维、反馈思维等多元化思维模式,从大坝病变分析诊断模型出发,拟定了系统分析的方法和步骤,以期为大坝病变分析诊断建立统一框架作些初步尝试。

The dam systems show the characteristics such as gradual change of disease, uncertainty of structure, complexity of mechanical property. Based on the information of dam safety, viz. data, rules, knowledge, abnormal characteristics of dams can be analyzed and diagnosed through the integration of qualitative methods and quantitative methods. Comprehensive analysis of all influence factors need be implemented. The theories of knowledge engineering and information processing need be crossed with conventional mathematics and mechanics. The positive-thinking pattern was transformed into converse, systematic and feedback mode. This paper built a system model analyzing and diagnosing abnormal characteristics of dams. The methods and steps were proposed with systems engineering. This paper is expecting to establishes an universal system analyzing and diagnosing dam disease. The system can adapt variational environment.