| Signal analysis and processing is widely used in the dynamic analysis of equipment, condition monitoring, fault diagnosis, management and maintenance of equipment. With the improvement of equipment’s management and modernization and degree of automation, the amount of date with analysis and processing is to be very large in signal analysis and processing. All of this brings pressure of the storage capacity of computer hardware and challenge to data management and storage performance. With the development of computer technology and Internet technology, while generating big data, the emergence of cloud computing technology makes the analysis and processing of big data possible. This paper uses cloud computing technology and combine with knowledge of signal analysis and processing to solved the problem of signal analysis and processing under the condition of the big date; uses network communication technology to achieve the function that mobile client-side and server-side are able to check the results of signal analysis and processing real time. The primary work is as follows:1. Summarize the theory of cloud computing, development status, key technologies and typical cloud computing platform. As the same time, it introduces the theory, technology and development status of signal analysis and the advantages which combines of the cloud computing;2. Analyze the open source cloud computing platform Hadoop framework model and built a cloud computing Hadoop Cluster Server to providing a platform support for signal analysis and processing;3. Use the Java programming language to design application modules of the local server; Under the model of MapReduce programming, conducting program design and performance test analysis of the algorithm statistical analysis of time-domain signal;4. Use JSP technology to design client interface module in the client/server-side; Combining with Web technology and network communication technology to achieve a system developed by the local function module to the Internet release of the mobile terminal;5. Use the B/S structure in the client/server-side to achieve communication with server, while the user’s mobile terminal is access to the Internet and using standard browser and communication protocols. It does not need custom protocols and the development of appropriate communication module and the user’s can check the results of analysis.This paper combines the cloud computing technology, network communication technology with signal analysis and processing technology to achieve the basic signal analysis processing functions. It provides the theoretical basis and practical application of foundation for achieving other functions of signal analysis and processing and relevant platform technology of other industry under the situation of big data. |