Radio monitoring data processing method based on high-performance hybrid computing
A radio monitoring and hybrid computing technology, which is applied in the direction of electrical digital data processing, data processing applications, special data processing applications, etc., can solve the problem of slow processing of radio monitoring data
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Embodiment 1
[0078] as attached figure 1 A radio monitoring data processing method based on high-performance hybrid computing is shown, including:
[0079] Step 100: Obtain the collected data through the preset data collection equipment, and pre-calculate the collected data according to the time period, and obtain the summary data of the time period; The calculation of occupancy and channel occupancy, and then use the Impala data query calculation engine to pre-calculate the collected raw monitoring data, and store the pre-calculated results in the Kudu database.
[0080] Step 101: Split the summary data according to the preset time range to obtain the split data; after receiving the hybrid computing task, split the time range of the hybrid computing task, the abscissa indicates the frequency range, and the ordinate indicates time.
[0081] Step 102: Process the split data through hybrid calculation to obtain a target calculation result. Realize high-performance real-time computing by m...
Embodiment 2
[0092] As an embodiment of the present invention: the acquisition of collected data by means of the data acquisition equipment preset in the crowdsourcing vehicle, and pre-calculation of the collected data to obtain summary data, including:
[0093] Preset the data acquisition equipment in the crowdsourcing vehicle, and determine the frequency sweep range, step interval, and frequency sweep interval of data acquisition, and obtain frame monitoring data within the preset unit time;
[0094] The frame monitoring data is classified and calculated, and the results of the classified calculation are summarized to obtain summary data, and the summary data is stored in a preset distributed system framework system; wherein,
[0095] The summary data stored in the monitoring database in the form of a table includes: level value; the level value includes: a maximum value table, a minimum value table, an average value table, and a mean square value table. The maximum value table (parq_str...
Embodiment 3
[0131] As an embodiment of the present invention: the field strength calculation includes the following steps:
[0132] gridding the preset map of the crowdsourcing vehicle running path, and obtaining the gridded preset map;
[0133] According to the preset map behind the grid, a summary signal field strength value set is determined based on scene attributes; wherein,
[0134] Scene attributes include: unit time attribute, busy hour attribute, idle hour attribute, working day attribute and non-working day attribute;
[0135] The set of signal field strength values includes: a minimum value of signal field strength, a maximum value of signal field strength, an average value of signal field strength, and a root mean square of signal field strength.
[0136] The present invention calculates the field strength by calculating the unit time (i.e. setting time) respectively,
[0137] (1) The maximum value is the maximum value of the signal field strength calculated per unit time....
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