| The influence of C4 ISR system on modern warfare is becoming more and more significant,among this system the command and control module is responsible for information collection and command release function,which dominates the battlefield situation.Any minor failure may cause extremely serious consequences.Therefore,it is of great significance to analyze the reliability and fault propagation of command and control system module in C4 ISR system.In this thesis,a shipborne C4 ISR system is divided into software module,hardware module and soft/hard hybrid module for reliability allocation and prediction.Then the fault propagation matrix is established according to the system model to further evaluate the node importance and the number of edge interfaces,so as to find the important fault propagation path.The research content of this thesis has some reference significance to the division of the fault propagation mode of the software and hardware hybrid modules in the complex electronic information system.The main contents and achievements are as follows:(1)The reliabilities of software module,hardware module and soft/hard hybrid module of the system are respectively allocated and predicted with different methods.According to the complexity measurement method of the software itself,the expert evaluation of the software module is objectively evaluated by comparing many evaluation factors.The cross-module mixing coefficient is proposed for reliability prediction calculation of mixed modules,which solves the problem of failure rate calculation between different board modules.(2)Based on the theory of node importance,the structural indexes of the fault propagation model were extracted,including the evaluation of edge load characteristics based on directed edges and the fault influence degree based on PageRank algorithm.The fault influence degree of the module node provides a specific criterion for the location of the system fault source.The evaluation results and the hierarchical fault-oriented graph model are mutually verified.The influence of the structural characteristics of the model on fault propagation and diffusion behavior is comprehensively characterized,which provides an important guarantee for the identification principle of critical fault propagation path in the final system.(3)Life interval prediction was carried out for the control system software module,hardware module and the combination of hardware and software.At the same time,according to the fault model and fault propagation side load attribute results,the system fault propagation path based on fault propagation intensity is further studied,fault source and important propagation path are obtained,and the evaluation results of node fault influence degree based on PageRank iteration algorithm are verified. |