基于边缘计算的舰炮故障预测系统设计

针对舰炮系统在任务执行过程中出现性能退化甚至故障,严重制约装备效能发挥,对维修保障带来极大困难的问题,提出并设计了一种基于边缘计算的舰炮故障预测系统。其在Compact RIO数据采集平台的基础上,以Labview为软件开发环境搭建而成,通过系统引入边缘计算技术架构,在Compact RIO完成数据处理,将数据处理结果上传至上位机,减少了数据传输量,降低了网络带宽的要求,有利于监测系统的集成。该系统设计可以实现舰炮系统状态信号的实时采集、传输、存储、状态监测与故障预测,减少舰炮系统计划外维修次数,降低检维修成本等,显著提高舰炮系统的自主式维修保障能力。

Design of fault prediction system for Naval Gun Based on edge calculation

In present study, a novel naval gun fault prediction system is proposed, which is in order to solve the problem of performance degradation or even failure during mission execution. Based on the Compact RIO data acquisition platform and the Labview development environment, the function of real-time data acquisition, transmission, storage, condition monitoring, and fault prediction is realized. Then, by introducing a edge computing technology architecture, the data processing on Compact RIO and uploads the results returning to a host computer is achieved, some benefits including the reduction of data transmission volume, network bandwidth requirements and the integration of monitoring systems are significant. Thus, this system design can reduce the number maintenance out of plan, the inspection and maintenance costs et al., and it can improve the autonomous maintenance support capability.