安全科学中的故障信息转换定律

为在安全科学领域实现从故障信息到安全决策过程，本文提出了安全科学中的故障信息转化定律。安全科学核心之一是系统可靠性。随着信息数据和智能科学的发展，系统可靠性理论也应跟随并发展。信息生态方法论是不同于传统机械还原论的方法论，可全方位研究故障信息。因素空间理论是基于因素的智能科学数学基础。空间故障树理论则是研究可靠性与因素关系的系统科学方法。因此三者在因素、系统变化及其特征研究方面具有天然的集成性。分别提供了研究系统可靠性的方法论、智能数学基础和具体实施平台。信息生态方法论和因素空间理论可指导并融入空间故障树理论的发展。从而为安全科学基础理论提供符合信息和智能科学的系统可靠性分析理念和方法，为安全科学的信息化及智能化作出尝试。

Conversion law of fault information in safety science

To obtain fault information and enable safety decision-making in safety science, this study proposes the conversion law of fault information in safety science. System reliability is a core concept of safety science. With the development of information and intelligent science, the theory of system reliability should also be developed. Information ecology methodology is different from traditional mechanical reductionism and can be used to conduct comprehensive research on fault information. Factor space theory is the mathematical basis of intelligent science based on factors. Space fault tree theory is a systematic scientific method used to analyze the relationship between reliability and factors. Therefore, these three methods enable the natural integration of research factors, system changes, and their characteristics. The methodology, intelligent mathematics foundation, and specific implementation platform for the analysis of system reliability are provided herein. Information ecology methodology and factor space theory can guide and integrate the development of a space fault tree. This paper provides the basic theory of safety science with information and intelligent science for system reliability analysis concepts and methods. Moreover, it attempts to integrate information and intelligent science with safety science.