@article{Lifang Zhao* , Dandan Dai_2020, title={Development and Research of Cloud Computing-based Signal Analysis and Processing System Platform}, url={http://thedesignengineering.com/index.php/DE/article/view/223}, DOI={10.17762/de.vi.223}, abstractNote={<p>Signal analysis and processing are widely used in equipment dynamic analysis, condition<br>monitoring, fault diagnosis, equipment management and maintenance. With the modernization<br>and automation of equipment management and production, the amount of data to be analyzed and<br>processed in the process of signal analysis and processing is very large. The rapid increase in data<br>volume has not only put pressure on storage capacity of computer hardware, but has also brought<br>challenges to data management and storage performance. Based on the above background, the<br>purpose of this article is to develop a signal analysis and processing system platform based on<br>cloud computing. This paper adopts cloud computing technology and combines the relevant<br>knowledge of signal analysis and processing to initially realize the construction of a platform for<br>signal analysis and processing under big data. Using network communication technology, the<br>mobile terminal client and server can view the signal analysis and processing results in real time.<br>Analyze the open source cloud computing platform Hadoop framework model, build a cloud<br>computing Hadoop cluster server, and provide platform support for signal analysis and<br>processing. The B / S structure is used on the client / server side, so that as long as the user’s<br>mobile terminal can access the Internet and use standard browsers and communication protocols<br>to communicate with the server, there is no need to customize protocols and develop<br>corresponding communication modules. You can view the analysis results. The experimental<br>results show that the sampling rate is 2.5GHz, and one sample is stored in double bytes, and the<br>amount of data per second is greater than 5GB, which is equivalent to 432TB / day. This article<br>combines cloud computing technology, network communication technology, and signal analysis<br>and processing technology to achieve the basic signal analysis and processing functions under big<br>data. It provides a theory for implementing other functions of signal analysis and processing and<br>related platform technologies in other industries under big data. Basis and practical application<br>basis.</p&gt;}, journal={Design Engineering}, author={Lifang Zhao* , Dandan Dai}, year={2020}, month={Mar.}, pages={255 - 270} }