以系统可靠性为目标的系统运动动力、表现与度量研究

System movement dynamics based on its performance and measurement reliability

为研究系统运动的动力、表现和度量,提出系统运动空间和系统映射论,并以系统可靠性作为实现平台。借助信息生态思想作为方法论、因素空间理论作为智能分析的数学基础、空间故障树理论作为研究系统可靠性的平台,建立了一种新的研究框架。结果表明,系统运动的动力是因素及其变化,表象是数据及其变化。进而为度量系统运动建立了系统运动空间模型,借助空间故障树的方法即可实现度量。同时认为人的智慧活动是系统运动过程中数据信息到因素的映射;而自然系统是所有因素到所有数据的映射,前者只能趋近而无法达到后者的高度和水平。

The chief target of the given paper is to trace and examine the faults and accidents in terms of the change and variation of the system reliability of the core problem. As is well known,system reliability has to be taken as the core or nucleus of the safety science. And,therefore,the main content and goal of the safety science research is to trace,examine and disclose the system failure,or the accidents arisen,and then,to measure and disclose the corresponding early or original prediction and then ways for the proper treating measures correspondingly. With the improvement of the information theory,intelligence science and data science,the system reliability theory,as the basic theory of safety science,should follow and observe the improvement orientation. And,thus,the given paper has to mainly examine and trace the dynamic performance and measurement of the system movement by taking the system reliability as the realization platform. On the other hand,with the information ecology as methodology,the factor space theory should also be taken as the mathematical basis for the intelligent analysis and the space fault tree theory as the platform of the system reliability,so as to build up a new-style research framework. The results of our study show that the dynamics of the system movement ought to be the factors concerned and their changes with the performance of the data concerned and their variations. On the other hand,the space model of the system movement has also to be established for the movement measurement,which can be realized by way of the space fault tree. Such a system movement space has to be built up,with the multiple planes being taken as the different representative aspects of the system,whose constituent factors and data are merely 2. That is,the human intelligent processing can be derived from the relevant data that can be measured to enable the known factors to understand and regulate the system,whereas the natural system can serve as the function of all the factors leading to the data information items in the process of movement. Hence,human intelligence processing can serve as the mapping of the measurable relevant data to the known factors,with the natural system being all the factors to be mapped through all the data concerned. Therefore,the model obtained by the former can be taken as a part of the latter,which is one-sided. And,consequently,the former can only be taken as near or approach to the latter,but it can never be satisfactory to gain or achieve it in the final analysis.