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A distributed cache system based on Redis for high-speed railway catenary monitoring system

机译:基于REDIS的分布式高速缓存系统,用于高速铁路绕线监测系统

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The catenary is one of the most critical subsystems for high-speed railway. By analyzing the online monitoring data of the catenary, aiming at the depot-level monitoring data of 1000 kilometers and 160000 monitoring points, this paper proposes a distributed cache system based on Redis. In the preprocessing stage, to reduce the load on the data center, this system caches the online monitoring data received from each sensor module of the catenary and redundantly stores the data in the distributed cluster for further data center processing. To verify the performance, this paper sets up a cache system experiment platform with eight local servers to test the functionality. The experiments show that the system excels in high concurrency, availability, read/write speeds for the online status monitoring data of the high-speed railway catenary.
机译:COLENARY是高速铁路最关键的子系统之一。通过分析衔接的在线监测数据,旨在瞄准1000公里和160000个监测点的库级监测数据,提出了一种基于Redis的分布式缓存系统。在预处理阶段,为了减少数据中心的负载,该系统高速缓存从关联的每个传感器模块接收的在线监测数据,并冗余存储分布式集群中的数据以进行更多数据中心处理。要验证性能,本文设置了一个带有8个本地服务器的缓存系统实验平台来测试功能。实验表明,该系统在高速铁路衔接的在线状态监测数据的高并发性,可用性,读/写速度中擅长高速运行,可用性,读/写速度。

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