嵌入式异构多核测试的流式大数据处理系统  

Streaming Big Data Processing System Based on Embedded Heterogeneous Multi-core Testing

作　　者：柳文波 何鹏举[1] 张京妹[1] 李聪 张鹏 Liu Wenbo;He Pengju;Zhang Jingmei;Li Cong;Zhang Peng(School of Automation,Northwestern Polytechnical University,Xi’an 710072,China;Xi'an Dongfeng Machinery Electronic Co.,Ltd.)

机构地区：[1]西北工业大学自动化学院,西安710072 [2]西安东风机电股份有限公司

出　　处：《单片机与嵌入式系统应用》2022年第3期19-22,共4页Microcontrollers & Embedded Systems

基　　金：科技创新人才服务企业项目(2020KJRC0122);基于“云边端”的工业测量装备自主保障技术及应用示范(2019ZDLGY170502)。

摘　　要：本文采用FPGA实现四通道传感器的高速数据采集、同步转换和LMS自适应降噪,使用ARM搭建了边缘计算平台,进而实现了一种云边端协同的测试流式大数据处理系统,并且在磨床设备检测中得到了应用。实验和现场测试结果表明,本系统可以满足实际应用的需求,为基于工业物联网的设备监测提供了一种可行的方法。In the paper,FPGA is used to realize high-speed data acquisition,synchronous conversion and LMS adaptive noise reduction of four-channel sensors,an edge computing platform is built using ARM,and then a cloud-side-end collaborative test streaming big data processing system is realized,and it has been applied in the detection of grinding machine equipment.The experiment and field test results show that it can meet the needs of practical applications and provide a feasible method for equipment monitoring based on the industrial internet of things.

关 键 词：多核异构平台 流式大数据处理系统 磨床砂轮状态在线监测 Zynq 7045 Netty框架 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置]