部队远程会诊车多发故障排除技术研究

传统排除技术受到天气和静电干扰影响，导致排查精准度较低，为了从根本上排除故障，提出了基于Agent部队远程会诊车多发故障排除技术研究。绘制信号特征关系图，获取合乎逻辑故障信息。以该信息为基础，设计多发故障排除流程，将流程中异常与正常信息特征进行对比，依据对比结果设立异常信息警告等级表。根据该表可在不受到天气因素影响下，准确获取故障程度，通过Agent反应结构图，建立多发故障排除指标，改善静电干扰的影响。构建故障排除模型，可确定故障发生点，进而实现故障的准确排除。由实验结果可知，该技术最高排除精准度可达到90%，使受伤人员能够在最佳时间内得到救治

Research on multiple troubleshooting technology for army telemedicine vehicle

Traditional exclusion technology is affected by weather and static electricity, resulting in low accuracy of troubleshooting. In order to fundamentally eliminate faults, a multi-issue troubleshooting technology based on Agent troops remote diagnostic vehicles was proposed. Draw signal feature diagrams to obtain logical fault information. Based on this information, multiple troubleshooting processes are designed to compare the anomalies in the process with normal information characteristics, and an exception information warning level table is established based on the comparison results. According to the table, the degree of failure can be accurately obtained without being affected by the weather. Through the Agent reaction structure diagram, multiple troubleshooting indicators are established to improve the effect of static electricity. Build a troubleshooting model to determine the point where the failure occurred and then eliminate the problem. According to the experimental results, the highest accuracy of this technology can be eliminated by 90%, so that the injured can be treated in the best time.