工业大数据中数据采集和处理系统设计与测试分析

该文主要探究面向工业大数据的数据采集和处理系统的设计要点,并对其功能实现情况和运行性能进行测试分析。该系统可从Modbus RTU和OPC服务数据库中采集数据,并暂存于MaxComputer和Golden RTDB中,系统调用数据完成基本信息计算、班组信息计算、峰谷平计算,处理结果以表格形式呈现。从测试情况来看,该系统的数据采集、处理等基本功能可以正常实现,系统对工业大数据的单批次处理用时在50 ms以内,处理速度较快。

This paper mainly explores the design points of a data acquisition and processing system for industrial big data,and tests and analyzes its functional realization and operating performance.The system can collect data from Modbus RTU and OPC service databases,and temporarily store it in MaxComputer and Golden RTDB.The system calls the data to complete basic information calculation,team information calculation,and peak-valley calculation,and the processing results are presented in table form.Judging from the test situation,the system's basic functions such as data acquisition and processing can be realized normally.The system takes less than 50 ms to process a single batch of industrial big data,and the processing speed is fast.