Apache IoTDB在智能运维平台存储中的应用

Storage Application of Apache IoTDB in Intelligent Operation and Maintenance Platform

目前城市轨道交通行业飞速发展,随着运营列车的数量增加,列车运行数据爆发式增长。传统的轨道交通数据处理方式中,各类传感器数据杂乱不统一,且难以对高频、时序、海量列车数据进行计算、存储。Apache IoTDB是由清华大学软件团队研发的高性能、轻量级的开源物联网原生数据库,其具备低存储成本、高速查询写入的特点,围绕系统的架构设计,采用Iginx高可扩展时序数据库集群系统,可以解决海量列车数据的计算与存储问题,可以满足智能运维领域的高速数据写入和查询要求,为推进轨道交通智能运维后续复杂数据分析、数据挖掘需求打好数据基础。

At present, the urban rail transit industry develops rapidly. With an increasing number of operating trains, the train operation data grows explosively. In the traditional processing method of rail transit data, the data of various sensors are messy and inconsistent. It is difficult to calculate and store high-frequency, time sequence and massive train data. Apache IoTDB is a high-performance, lightweight, open source Internet of things native database developed by the software team of Tsinghua University, with the characteristics of low storage cost and high-speed query and writing. Focusing on the architecture design of the system, the Iginx highly scalable time-series database cluster system is adopted, which can solve the problem of calculation and storage of massive train data, meet the high-speed data writing and query requirements in the field of intelligent operation and maintenance and lay a good data foundation for promoting the subsequent complex data analysis and data mining needs of rail transit intelligent operation and maintenance.