测试信号分析云计算技术研究
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华中科技大学机械科学与工程学院 武汉 430074

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TP393

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国家重点研发计划项目课题(2019YFB1310703)资助


Research on cloud computing technology for test signal analysis
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School of Mechanical Science & Engineering, Huazhong University of Science and Technology,Wuhan 430074,China

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    摘要:

    随着通讯技术和云计算技术发展,前端获取数据后上传至云端分析,然后再将云端分析结果回传至前端进行显示的APP设计和影音模式逐渐在生活中普及。借鉴其思路,提出一种JS+Python的测试信号分析云平台设计技术;其中网页型的JS前端页面程序负责信号获取和分析结果显示,而运行在云服务器上的Python程序则负责上传数据的云计算和分析。运行测试实验平台,数据和脚本上传后,服务器端能成功接收并调用脚本中对应的测试技术和控制理论算法对数据进行处理,并返回浏览器实现结果可视化。这样可最大限度降低前端设备的软硬件要求,便于实现由前端测量装置+后端测试信号分析云平台构成的设备运行故障监测与诊断网络。

    Abstract:

    With the development of communication technology and cloud computing technology, the front-end obtains data and uploads it to the cloud for analysis, and then transmits the cloud analysis results back to the front-end for display APP design and audio mode are gradually popularized in life. Drawing on its ideas, a JS+Python test signal analysis cloud platform design technology is proposed. Among them, the web-based JS front-end page program is responsible for signal acquisition and analysis result display, while the Python program running on the cloud server is responsible for cloud computing and analysis of uploading data. Run the test experiment platform. After the data and script are uploaded, the server can successfully receive and call the corresponding test technology and control theory algorithm in the script to process the data, and return it to the browser to visualize the results.This minimizes the hardware and software requirements of the front-end equipment, and facilitates the realization of the equipment operation fault monitoring and diagnosis network composed of front-end measurement device+back-end test signal analysis cloud platform.

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黄江城,何岭松.测试信号分析云计算技术研究[J].电子测量技术,2023,46(24):1-5

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  • 在线发布日期: 2024-03-27
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