摘要
针对海量交易日志信息提取困难、分析效率低等各项问题开展了相关研究工作,设计得到了商务业绩交易监控系统控制流程及关键结构。选择B/S控制流程进行设计,从不同的异构交易系统中收集并提取关键指标,完成交易系统的监控和数据可视化分析的过程,构建系统控制流程,具体包括ELK协议、Kafka系统、数据存储器、MySQL数据流处理器以及Web应用服务器。完成系统关键结果的设计,构建得到了一种以报警机制为基础的交易量预测方法;以Kibana为基础的交易数据可视化处理流程图;按照设定的查询条件来完成过滤筛选,同时完成可视化结果反馈控制流程图。系统12 h内的交易量预测值和实际值结果效果良好,这表面设计的该商务业绩交易监控系统控制系统满足要求。
In view of the problems such as the difficulty of extracting information from massive transaction log and the low efficiency of analysis,the relevant research work is carried out,and the control process and key structure of business performance transaction monitoring system are designed.Select b/s control process for design,collect and extract key indicators from different heterogeneous transaction systems,complete the process of transaction system monitoring and data visualization analysis,build system control process,including elk protocol,Kafka system,data memory,MySQL data stream processor and web application server.The design of the key results of the system is completed,and a transaction volume prediction method based on the alarm mechanism is constructed;the flow chart of transaction data visual processing based on kibana is constructed;the filtering and filtering are completed according to the set query conditions,and the flow chart of visual result feedback control is completed at the same time.The result of predicted and actual trading volume within 12 hours is good,and the control system of the business performance trading monitoring system designed on the surface meets the requirements.
作者
刘云
LIU Yun(Party School of Dadukou District in Chongqing,Chongqing 400084 China)
出处
《自动化技术与应用》
2019年第11期37-40,共4页
Techniques of Automation and Applications
关键词
商务业绩
实时监控
交易量预测
可视化分析
business performance
real-time monitoring
volume forecast
visual analysis