Method, system and device for realizing gridding signal coverage rate analysis processing based on historical big data, processor and storage medium thereof
A technology of analysis and processing, big data, applied in digital data processing, special data processing applications, file system management, etc., can solve problems such as large amount of data, can only analyze a single signal, wide geographical range, etc., to achieve fast analysis speed , to avoid repeated collection, the effect of strong decoupling
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[0072] In order to describe the technical content of the present invention more clearly, further description will be given below in conjunction with specific embodiments.
[0073] The method for realizing gridded signal coverage analysis and processing based on historical big data of the present invention comprises the following steps:
[0074] (1) Upload the spectrum data to the background server, generate data association and upload to the Hadoop file system;
[0075] (2) Select the frequency band parameters and data filtering parameters to be analyzed;
[0076] (3) Submit the analysis preparation and start the analysis;
[0077] (4) The data screening module obtains the data id, and submits the frequency band parameters and data filtering parameters to the Spark big data analysis cluster;
[0078] (5) Spark computing clusters analyze and calculate in parallel according to frequency bands;
[0079] (6) the analysis result is saved in the Hadoop file system;
[0080] (7) ...
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