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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

Active Publication Date: 2020-10-16
北京有生志广科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a radio monitoring data processing method based on high-performance hybrid computing to solve the problem of slow radio monitoring data processing in the prior art

Method used

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  • Radio monitoring data processing method based on high-performance hybrid computing
  • Radio monitoring data processing method based on high-performance hybrid computing
  • Radio monitoring data processing method based on high-performance hybrid computing

Examples

Experimental program
Comparison scheme
Effect test

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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Abstract

The invention provides a radio monitoring data processing method based on high-performance hybrid computing, and the method comprises the steps of obtaining collected data through preset data collection equipment, carrying out the pre-calculation of the collected data according to time periods, and obtaining a time period collection result; splitting the summarized data of the two types of resultdata according to a time range to obtain split data; and processing the split data through hybrid calculation to obtain a target settlement result. The invention has the beneficial effects that a method of mixing pre-calculation and real-time calculation is adopted, so that original monitoring data participating in real-time calculation can be greatly reduced, the calculation speed of indexes suchas bottom noise, frequency band occupancy rate, channel occupancy rate, signal coverage rate and frequency spectrum resource utilization rate is greatly increased, and the response speed of the system is increased.

Description

technical field [0001] The invention relates to the technical field of radio data monitoring and processing, in particular to a radio monitoring data processing method based on high-performance hybrid computing. Background technique [0002] At present, in the field of express logistics, crowdsourcing vehicles will determine the monitoring data of each radio channel through radio monitoring, and carry out vehicle regulation through monitoring data, but in vehicle regulation, it is necessary to calculate the collected data. In the prior art, The collected data of radio monitoring will be processed in a unified manner. However, in the unified processing, the calculation will be slow due to the huge amount of data in a short period of time, and the processing of radio detection data will also be very slow. Contents of the invention [0003] The present invention provides a method for processing radio monitoring data based on high-performance hybrid computing, which is used to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/14G06F16/182G06F16/22G06F16/24G06Q10/08
CPCG06F16/144G06F16/182G06F16/221G06F16/24G06Q10/083
Inventor 赵斌田磊王姝宋佳豪郭新莹王羿于雪倩刘文参郭照阳吴越铭李志渊郭磊周俊杰
Owner 北京有生志广科技有限公司
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