Dalian Vocational Technical College
CRRC Dalian R&D Co., Ltd.

针对基于华为MapReduce大数据平台的煤矿智能化综合管控平台,设计了一套融通前后端数据的接口服务方法。利用Phoenix工具在Hbase上进行数据遍历查询,将结果通过HTTP协议以图形化接口的形式供前端调用,为了提高实时数据的传输效率,采用前后端分离架构并引入Redis缓存层,在实现数据管理和权限安全的基础上,进一步实现毫秒级请求的响应需求。实践表明,该方法能够很好地实现MapReduce大数据平台下前后端数据的稳定和高效传输,满足实际应用需求。

A set of interface service methods for integrating front-end and back-end data has been designed for theintelligent comprehensive control platform of coal mines based on Huawei MapReduce big data platform. UsingPhoenix tools to perform data traversal queries on Hbase, the results were provided to the front-end in the form ofgraphical interfaces through the HTTP protocol. In order to improve the efficiency of real-time data transmission, afront-end and back-end separation architecture was adopted and a Redis cache layer was introduced. On the basisof achieving data management and permission security, millisecond level request response requirements were furtherimplemented. Practice showed that this method could effectively achieve stable and efficient transmission of frontend and back-end data on the MapReduce big data platform, meet practical application requirements.

刘佳,矫德余,李哲.基于MapReduce的煤矿综合管控平台接口研究[J].煤矿机电,2023,44(5):54-58.