CN112533253B - Mobile network signal strength calculation method and device, electronic equipment and storage medium - Google Patents
Mobile network signal strength calculation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention provides a mobile network signal strength calculation method, a mobile network signal strength calculation device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a plurality of measurement reports generated in a target area; selecting an outdoor sample measurement report with regional attribute classified as outdoor attribute from all measurement reports, and constructing an outdoor measurement report sampling point fingerprint library by utilizing the outdoor sample measurement report; comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint library, and determining the regional attribute classification of the other measurement reports; and calculating the network signal strength of the target area according to the signal power data of each measurement report in the target area and the corresponding area attribute classification. The scheme of the invention realizes the regional attribute classification of a plurality of measurement reports generated by the target region, and further accurately calculates the indoor network signal intensity and the outdoor network signal intensity.
Description
Technical Field
The present invention relates to the field of mobile network technologies, and in particular, to a method and apparatus for calculating signal strength of a mobile network, an electronic device, and a storage medium.
Background
In recent years, with the development of the mobile internet, the requirements of users on the performance of the mobile network are higher and higher, and the signal strength in the network coverage area is an important index for judging the performance of the mobile network, so that in order to improve the performance of the mobile network in the target area, the signal strength of the indoor network and the signal strength of the outdoor network in the target area need to be detected.
In the prior art, when a network service is generally performed according to a mobile terminal, the position of the mobile terminal is determined according to a base station connected with the mobile terminal, and then the indoor and outdoor mobile network signal strength in a target area is determined according to the position of the mobile terminal.
However, the mobile terminal may be connected to an outdoor base station indoors or an indoor base station outdoors, and it is not possible to accurately determine whether the mobile terminal is located indoors or outdoors according to the base station position, so it is difficult to accurately calculate the indoor network signal strength and the outdoor network signal strength.
Disclosure of Invention
The invention provides a mobile network signal intensity calculating method, a mobile network signal intensity calculating device, electronic equipment and a storage medium, which can be used for classifying regional attributes of a plurality of measurement reports generated in a target region, further accurately calculating indoor network signal intensity and outdoor network signal intensity and improving network performance of the target region.
In a first aspect, an embodiment of the present invention provides a method for calculating signal strength of a mobile network, including:
acquiring a plurality of measurement reports generated in a target area;
selecting an outdoor sample measurement report with regional attribute classified as outdoor attribute from all measurement reports, and constructing an outdoor measurement report sampling point fingerprint library by utilizing the outdoor sample measurement report;
comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint library, and determining the regional attribute classification of the other measurement reports; wherein the other measurement reports refer to measurement reports except for an outdoor sample measurement report in all measurement reports;
and calculating the network signal strength of the target area according to the signal power data of each measurement report in the target area and the corresponding area attribute classification.
In an alternative embodiment, the measurement report includes signal power data, latitude and longitude data, and session identification;
correspondingly, the outdoor sample measurement report with the area attribute classified as the outdoor attribute is selected from the measurement reports, and the method comprises the following steps:
determining the moving speed of a terminal to which the measurement report belongs according to the session identification and longitude and latitude data of the measurement report, and selecting a first outdoor sample measurement report with regional attribute classified as outdoor attribute from each measurement report;
Determining the propagation loss difference value of each residual measurement report according to the signal power data of each residual measurement report, and selecting a second outdoor sample measurement report with regional attribute classified as outdoor attribute from the residual measurement reports; wherein, the residual measurement report refers to a measurement report except a first outdoor sample measurement report in each measurement report;
the first outdoor sample measurement report and the second outdoor sample measurement report constitute an outdoor sample measurement report.
In an optional embodiment, the determining the moving speed of the terminal to which the measurement report belongs according to the session identifier and the longitude and latitude data of the measurement report, and selecting a first outdoor sample measurement report with an area attribute classified as an outdoor attribute from the measurement reports includes:
clustering measurement reports with the same session identifier to obtain a plurality of measurement report sets, wherein each measurement report set comprises at least two measurement reports with the same session identifier;
calculating and obtaining the moving speed of the terminal of each measurement report set by using longitude and latitude data in each measurement report set;
and if the moving speed of the terminal is greater than or equal to a preset speed threshold, classifying the measurement report in the measurement report set corresponding to the terminal as a first outdoor sample measurement report with the area attribute being an outdoor attribute.
In an alternative embodiment, the determining the propagation loss difference value of each remaining measurement report according to the signal power data of each remaining measurement report, and selecting a second outdoor sample measurement report with the area attribute classified as an outdoor attribute from the remaining measurement reports includes:
calculating and obtaining the actual propagation loss of each residual measurement report by using the signal power data of each residual measurement report;
obtaining the corresponding theoretical propagation loss of each residual measurement report, and calculating the difference between the actual propagation loss of each residual measurement report and the theoretical propagation loss of each residual measurement report to obtain the propagation loss difference value of each residual measurement report;
and if the propagation loss difference value is smaller than a preset loss difference value threshold value, classifying the measurement report corresponding to the propagation loss difference value as a second outdoor sample measurement report with the area attribute as the outdoor attribute.
In an optional embodiment, the constructing an outdoor measurement report sampling point fingerprint library by using the outdoor sample measurement report includes:
dividing a target area into grids according to a preset grid size to obtain at least one grid area;
clustering each outdoor sample measurement report based on a geographic area by using longitude and latitude data of the outdoor sample measurement report;
Establishing geographic corresponding relations between each cluster and each grid area;
and constructing an outdoor measurement report sampling point fingerprint library according to the outdoor sample measurement reports corresponding to the grid areas.
In an alternative embodiment, the measurement report further includes a cell identification code;
correspondingly, the comparing and analyzing the other measurement reports by using the outdoor measurement report sampling point fingerprint database to determine the region attribute classification of the other measurement reports comprises the following steps:
determining whether the regional attribute classification of each other measurement report is an indoor attribute according to the signal power data of the other measurement reports and the cell identification code;
and classifying the regional attribute in each other measurement report into a measurement report with no indoor attribute, and judging each outdoor sampling measurement report in the outdoor measurement report sampling point fingerprint library to determine the regional attribute classification of the measurement report with the regional attribute classified into the indoor attribute in each other measurement report.
In an optional embodiment, the determining whether the area attribute of each other measurement report is classified as an indoor attribute according to the signal power data of the other measurement report and the cell identification code includes:
inquiring by using the cell identification codes of the other measurement reports to obtain the signal power of the cell to which the other measurement reports belong;
And if the signal power of the cell meets the preset judging condition, classifying the regional attribute of the measurement report corresponding to the cell as an indoor attribute, wherein the preset judging condition is set according to a preset signal power threshold and the generation time of the measurement report.
In an alternative embodiment, the classifying the area attribute of each other measurement report into the measurement report with no indoor attribute and the discriminating processing with each outdoor sampling measurement report in the fingerprint database of the outdoor measurement report sampling point are performed to determine the area attribute of each other measurement report with the area attribute classified into the measurement report with no indoor attribute, including:
acquiring a specific number of signal power data from each grid area of the outdoor measurement report sampling point fingerprint library, and calculating an average value of the specific number of signal power data of each grid area as an outdoor attribute judgment threshold value of each grid area;
determining geographic corresponding relations between the measurement reports with the regional attribute classified as the indoor attribute and the grid regions according to longitude and latitude data of the measurement reports with the regional attribute classified as the indoor attribute in other measurement reports;
Comparing signal power data of the measurement report, of which the region attribute corresponding to each grid region is classified as not being an indoor attribute, with the outdoor data judgment threshold;
and if the signal power data of the measurement report, which is not classified as the indoor attribute, of the region attribute corresponding to each grid region is larger than or equal to the outdoor data judgment threshold value, classifying the measurement report region attribute as the outdoor attribute.
And taking the mobile network data corresponding to the signal power data smaller than the outdoor data judgment threshold value as the mobile network data belonging to the indoor.
In an alternative embodiment, the network signal strength of the target area includes a grid area indoor signal strength and a grid area outdoor signal strength;
correspondingly, the calculating the network signal strength of the target area according to the signal power data of each measurement report in the target area and the corresponding area attribute classification includes:
acquiring signal power data of measurement reports with regional attributes corresponding to each grid region classified as indoor attributes, and counting the quantity of all indoor signal power data corresponding to each grid region;
comparing the signal power data of the measurement report with a preset high-intensity indoor signal threshold value, wherein the area attribute is classified as an indoor attribute, taking the signal power data which is larger than or equal to the preset high-intensity indoor signal threshold value as the high-intensity indoor signal data, and counting the quantity of the high-intensity indoor signal data;
And calculating the ratio of the number of the high-intensity indoor signal data to the number of the total indoor signal power data in each grid area to obtain the indoor signal intensity of the grid area.
In an optional embodiment, the calculating the network signal strength of the target area according to the signal power data of each measurement report in the target area and the corresponding area attribute categorization further includes:
acquiring signal power data of measurement reports with regional attributes corresponding to each grid region classified as outdoor attributes, and counting the quantity of all outdoor signal power data corresponding to each grid region;
comparing the signal power data of the measurement report with a preset high-intensity outdoor signal threshold value, wherein the area attribute is classified as an outdoor attribute, taking the signal power data which is larger than or equal to the preset high-intensity outdoor signal threshold value as the high-intensity outdoor signal data, and counting the quantity of the high-intensity outdoor signal data;
and calculating the ratio of the number of the high-intensity outdoor signal data to the number of the total outdoor signal power data in each grid area to obtain the outdoor signal intensity of the grid area.
In a second aspect, an embodiment of the present invention provides a mobile network signal strength calculation apparatus, including: the system comprises an acquisition module, a construction module, an analysis module and a calculation module;
The acquisition module is used for acquiring a plurality of measurement reports generated in the target area;
the construction module is used for selecting outdoor sample measurement reports with regional attributes classified as outdoor attributes from all the measurement reports, and constructing an outdoor measurement report sampling point fingerprint library by utilizing the outdoor sample measurement reports;
the analysis module is used for comparing and analyzing other measurement reports by utilizing the outdoor measurement report sampling point fingerprint database and determining the regional attribute classification of the other measurement reports;
the calculation module is used for calculating the network signal strength of the target area according to the signal power data of each measurement report in the target area and the corresponding area attribute classification.
In a third aspect, an embodiment of the present invention provides an electronic device, including: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the computing method of any one of the first aspects.
In a fourth aspect, embodiments of the present invention provide a computer readable storage medium having stored thereon a computer program for execution by a processor to implement the computing method of any of the first aspects.
The invention provides a mobile network signal strength calculation method, a mobile network signal strength calculation device, electronic equipment and a storage medium, wherein a plurality of measurement reports generated in a target area are acquired; selecting an outdoor sample measurement report with regional attribute classified as outdoor attribute from all measurement reports, and constructing an outdoor measurement report sampling point fingerprint library by utilizing the outdoor sample measurement report; comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint library, and determining the regional attribute classification of the other measurement reports; and calculating the network signal strength of the target area according to the signal power data of each measurement report in the target area and the corresponding area attribute classification. The scheme of the invention realizes the regional attribute classification of a plurality of measurement reports generated by the target region, and further accurately calculates the indoor network signal intensity and the outdoor network signal intensity.
It should be understood that the description of the invention above is not intended to limit key or critical features of embodiments of the invention, nor to limit the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present invention, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a schematic diagram of a scenario architecture upon which the present disclosure is based;
fig. 2 is a flowchart of a mobile network signal strength calculation method according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of target area grid division according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram of a mobile network signal strength calculating device according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While the invention is susceptible of embodiment in the drawings, it is to be understood that the invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided to provide a more thorough and complete understanding of the invention. It should be understood that the drawings and embodiments of the invention are for illustration purposes only and are not intended to limit the scope of the present invention.
In recent years, with the development of the mobile internet, more and more users connect to the internet through mobile terminals, and the performance of the mobile network directly affects the user experience, so that when evaluating the mobile network in the target area, it is necessary to classify the acquired test report in area attribution to calculate the indoor and outdoor network signal strengths in the target area.
In the prior art, a base station connected with a mobile terminal is determined according to a measurement report generated when the mobile terminal performs network service, information in the measurement report is utilized to determine the position of the mobile terminal according to the regional attribution of the base station, and then the indoor and outdoor mobile network signal intensity in a target region is calculated according to the position of the mobile terminal and the corresponding measurement report.
However, the mobile terminal may be connected to an outdoor base station indoors, and also may be connected to an indoor base station outdoors, and it is not possible to accurately determine whether the mobile terminal is located indoors or outdoors according to the base station position, so it is difficult to accurately calculate the indoor network signal strength and the outdoor network signal strength.
In order to solve the problems, the inventor researches and discovers that, by using a measurement report generated in a target area, a sample measurement report belonging to the outside can be selected according to data in the measurement report, an outdoor measurement report sampling point fingerprint library is constructed by using the sample measurement report belonging to the outside, the sample measurement report belonging to the outside can be determined from other measurement reports, the rest of the measurement reports are sample measurement reports belonging to the inside, and after the measurement report generated in the target area is subjected to area classification, the indoor and outdoor network signal intensities in the target area can be calculated.
Fig. 1 is a schematic view of a scenario architecture according to the present disclosure, as shown in fig. 1, where the scenario architecture according to the present disclosure may include a terminal 11, a server 12, and a base station 13, where the terminal 11 may be a hardware device such as a notebook computer, a tablet computer, a smart phone, and the like. The implementation manner of the terminal 11 and the server 12 is not limited in any way, as long as the mobile network signal strength calculation method provided by the embodiment of the present application can be executed by the server 12 provided by the embodiment of the present application, so long as the mobile network signal strength calculation method can normally communicate with the base station 13.
When a user uses the terminal 11 to connect with the base station 13 for network service, the base station 13 receives the measurement report uploaded by the terminal 11 and transmits the measurement report to the server 12, the server 12 can be specifically a hardware loaded with a database or a cloud server with a storage function, and the server 12 stores the measurement report generated by the terminal for calculating the signal strength of the mobile network.
Specifically, the measurement report generated by the terminal 11 is uploaded to the base station 13, and the server 12 may acquire the measurement report generated by the terminal 11 from the base station 13, or may store the measurement report itself to perform mobile network signal strength calculation. The present embodiment is not particularly limited to a specific implementation.
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
Fig. 2 is a flowchart of a mobile network signal strength calculation method according to an embodiment of the present disclosure, where, as shown in fig. 2, the method of the present embodiment may include:
s21, acquiring a plurality of measurement reports generated in a target area;
in this embodiment, the target area is an area covered by the mobile network, and the measurement report is generated when the user uses the terminal to connect to the mobile network in the target area to perform the service.
S22, selecting an outdoor sample measurement report with regional attribute classified as outdoor attribute from all measurement reports, and constructing an outdoor measurement report sampling point fingerprint library by utilizing the outdoor sample measurement report;
in this embodiment, according to the data in the measurement report, the outdoor sample measurement report with the regional attribute classified as the outdoor attribute can be efficiently and rapidly determined, so as to construct the fingerprint library of the sampling point of the outdoor measurement report.
Optionally, the measurement report includes signal power data, latitude and longitude data, and session identifier, and S22 specifically includes:
Determining the moving speed of a terminal to which the measurement report belongs according to the session identification and longitude and latitude data of the measurement report, and selecting a first outdoor sample measurement report with regional attribute classified as outdoor attribute from each measurement report;
in this embodiment, the moving speed of the terminal to which the measurement report belongs may be calculated according to the data in the measurement report, and the first outdoor sample measurement report whose area attribute is classified as an outdoor attribute may be determined according to the moving speed of the terminal to which the measurement report belongs.
In particular, in one possible implementation, measurement reports with the same session identity are clustered to obtain a plurality of measurement report sets, wherein each measurement report set contains at least two measurement reports with the same session identity; calculating and obtaining the moving speed of the terminal of each measurement report set by using longitude and latitude data in each measurement report set; and if the moving speed of the terminal is greater than or equal to a preset speed threshold, classifying the measurement report in the measurement report set corresponding to the terminal as a first outdoor sample measurement report with the area attribute being an outdoor attribute.
For example, among 4 measurement reports, the session identifications of measurement report 1 and measurement report 2 are A1, the session identifications of measurement report 3 and measurement report 4 are A2, which means that measurement report 1 and measurement report 2 belong to the same terminal, measurement report 3 and measurement report 4 also belong to the same terminal, measurement report 1 and measurement report 2 are clustered into measurement report set 1, measurement report 3 and measurement report 4 are clustered into measurement report set 2, the moving speed of the terminal to which measurement report set 1 belongs is calculated according to the latitude and longitude data of measurement report 1 and measurement report 2 in measurement report set 1 is 2m/s, the moving speed of the terminal to which measurement report set 2 belongs is calculated according to the latitude and longitude data of measurement report 3 and measurement report 4 in measurement report set 2 is 0.5m/s, and since the preset speed threshold is 1m/s, measurement report 1 and measurement report 2 in measurement report set 1 are classified as the first outdoor measurement sample whose area attribute is outdoor attribute.
Determining the propagation loss difference value of each residual measurement report according to the signal power data of each residual measurement report, and selecting a second outdoor sample measurement report with regional attribute classified as outdoor attribute from the residual measurement reports; wherein, the residual measurement report refers to a measurement report except a first outdoor sample measurement report in each measurement report;
in this embodiment, the propagation loss difference of the remaining measurement reports may be calculated according to the data in each remaining measurement report, and the second outdoor sample measurement report in which the area attribute in the remaining measurement report is classified as the outdoor attribute may be determined according to the propagation loss difference.
In particular, in one possible implementation, the actual propagation loss of each remaining measurement report is obtained by calculation using the signal power data of said remaining measurement report; obtaining the corresponding theoretical propagation loss of each residual measurement report, and calculating the difference between the actual propagation loss of each residual measurement report and the theoretical propagation loss of each residual measurement report to obtain the propagation loss difference value of each residual measurement report; and if the propagation loss difference value is smaller than a preset loss difference value threshold value, classifying the measurement report corresponding to the propagation loss difference value as a second outdoor sample measurement report with the area attribute as the outdoor attribute.
For example, the remaining measurement reports include measurement report 5 and measurement report 6, and the difference between the signal powers of measurement report 5 and measurement report 6 is used to calculate that the propagation loss of measurement report 5 and measurement report 6 is 8% and 12%, respectively, and since the preset loss difference threshold is 10%, the propagation loss of measurement report 5 is 8% less than 10%, measurement report 5 is classified as the second outdoor sample measurement report of the outdoor attribute as the area attribute.
The first outdoor sample measurement report and the second outdoor sample measurement report constitute an outdoor sample measurement report.
After obtaining the outdoor sample measurement report, further constructing an outdoor measurement report sampling point fingerprint library by using the outdoor sample measurement report, and S22 specifically further includes:
dividing a target area into grids according to a preset grid size to obtain at least one grid area;
for example, fig. 3 is a schematic diagram of target area grid division provided in the embodiment of the present disclosure, as shown in fig. 3, the target area is in a size of 1300m x 1300m, the preset grid size is in a size of 100m x 100m, and the target area is divided into 169 grid areas in a size of 100m x 100m according to the preset grid size and is numbered as grid area 1-grid area 169.
Clustering each outdoor sample measurement report based on a geographic area by using longitude and latitude data of the outdoor sample measurement report;
for example, measurement reports 1-5 in the target area are clustered according to latitude and longitude data in a 50 m-by-50 m range to form cluster 1.
Establishing geographic corresponding relations between each cluster and each grid area;
for example, the target area is 1000m by 1000m, has been divided into 40 grid areas 50m by 50m, and is numbered grid area 1-grid area 40, cluster 1 includes measurement reports 1-5, cluster 1 corresponds geographically to grid area 1.
And constructing an outdoor measurement report sampling point fingerprint library according to the outdoor sample measurement reports corresponding to the grid areas.
In this example, after the geographic correspondence between each cluster and each grid area is established, the geographic correspondence between the outdoor sample measurement report and each grid area is established, and all the outdoor sample measurement reports in each grid area and the geographic correspondence between the outdoor sample measurement report and each grid area form an outdoor measurement report sampling point fingerprint library.
S23, comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint library, and determining the regional attribute classification of the other measurement reports; wherein the other measurement reports refer to measurement reports except for an outdoor sample measurement report in all measurement reports;
In this embodiment, on the basis of constructing the outdoor measurement report sampling point fingerprint library, the outdoor measurement report sampling point fingerprint library is compared with other measurement reports, so that the other measurement reports can be rapidly classified into the region attribute, and the efficiency of classifying the region attribute can be further improved.
Optionally, the measurement report further includes a cell identification code, and S23 specifically includes:
determining whether the regional attribute classification of each other measurement report is an indoor attribute according to the signal power data of the other measurement reports and the cell identification code;
specifically, in one possible implementation manner, the cell identification code of the other measurement report is used for inquiring to obtain the signal power of the cell to which the other measurement report belongs; and if the signal power of the cell meets the preset judging condition, classifying the regional attribute of the measurement report corresponding to the cell as an indoor attribute, wherein the preset judging condition is set according to a preset signal power threshold and the generation time of the measurement report.
For example, the preset discrimination condition is that the signal power of the cell is greater than or equal to-100 dBm and less than-90 dBm, the acquisition time of the measurement report is in the range of 22:00-06:00, the cell identification code in the measurement report 10 is CGI1, the signal power of the cell to which the measurement report 10 belongs is obtained by inquiring the CGI1 is-95 dBm, the acquisition time of the measurement report 10 is 23:00, and the preset discrimination condition is satisfied, and the regional attribute of the measurement report 10 is classified as the indoor attribute.
And classifying the regional attribute in each other measurement report into a measurement report with no indoor attribute, and judging each outdoor sampling measurement report in the outdoor measurement report sampling point fingerprint library to determine the regional attribute classification of the measurement report with the regional attribute classified into the indoor attribute in each other measurement report.
In this example, measurement reports with partial region attributes classified as indoor attributes have been screened in the previous step, and the remaining measurement reports are determined by discriminating each outdoor sampling measurement report in the outdoor measurement report sampling point fingerprint library.
Specifically, in one possible implementation manner, a specific number of signal power data is acquired from each grid area of the outdoor measurement report sampling point fingerprint library, and an average value of the specific number of signal power data of each grid area is calculated as an outdoor attribute determination threshold value of each grid area; determining geographic corresponding relations between the measurement reports with the regional attribute classified as the indoor attribute and the grid regions according to longitude and latitude data of the measurement reports with the regional attribute classified as the indoor attribute in other measurement reports; comparing signal power data of the measurement report, of which the region attribute corresponding to each grid region is classified as not being an indoor attribute, with the outdoor data judgment threshold; if the signal power data of the measurement report, which is not classified as the indoor attribute, of the region attribute corresponding to each grid region is larger than or equal to the outdoor data judgment threshold, classifying the measurement report region attribute as the outdoor attribute; and taking the mobile network data corresponding to the signal power data smaller than the outdoor data judgment threshold value as the mobile network data belonging to the indoor.
For example, if the grid area 1 corresponds to 100 test reports, the signal power data in 90 test reports are obtained, and the average value is-90 dbm, then the outdoor attribute determination threshold of the grid area 1 is-90 dbm, the test report 20 and the test report 21 are determined to correspond to the grid area 1 according to the longitude and latitude data of the measurement report whose area attribute is not classified as the indoor attribute in other measurement reports, the signal power data in the test report 20 is-80 dbm, the signal power data in the test report 21 is-100 dbm, and since the signal power data in the test report 20 is-80 dbm greater than the outdoor attribute determination threshold of the grid area 1 by-90 dbm, the signal power data in the test report 21 is-100 dbm less than the outdoor attribute determination threshold of the grid area 1, the area attribute of the test report 20 is classified as the outdoor attribute, and the area attribute of the test report 21 is classified as the indoor attribute.
S24, according to the signal power data of each measurement report in the target area and the corresponding area attribute classification, calculating the network signal strength of the target area.
In this embodiment, after each measurement report generated in the target area is classified by the area attribute, part of the measurement reports are classified as outdoor sample measurement reports, and the other part of the measurement reports are classified as indoor sample measurement reports, and the indoor network signal strength and the outdoor network signal strength of each small area in the target area can be calculated respectively by using the classified measurement reports.
In one possible implementation, the network signal strength of the target area includes a grid area indoor signal strength and a grid area outdoor signal strength;
correspondingly, the calculating the network signal strength of the target area according to the signal power data of each measurement report in the target area and the corresponding area attribute classification includes: acquiring signal power data of measurement reports with regional attributes corresponding to each grid region classified as indoor attributes, and counting the quantity of all indoor signal power data corresponding to each grid region; comparing the signal power data of the measurement report with a preset high-intensity indoor signal threshold value, wherein the area attribute is classified as an indoor attribute, taking the signal power data which is larger than or equal to the preset high-intensity indoor signal threshold value as the high-intensity indoor signal data, and counting the quantity of the high-intensity indoor signal data; and calculating the ratio of the number of the high-intensity indoor signal data to the number of the total indoor signal power data in each grid area to obtain the indoor signal intensity of the grid area.
For example, the number of measurement reports with the area attribute corresponding to the grid area 2 classified as the indoor attribute is 5, the signal power data of the measurement reports with all the area attributes classified as the indoor attribute is 5, the 5 signal power data are respectively-80 dbm, -70dbm, -100dbm, -90dbm and-70 dbm, the preset high-strength indoor signal threshold is-85 dbm, and by comparison, the indoor signal strength of the grid area is 3/5=0.6 if the 3 signal power data are the high-strength indoor signal data.
In another possible implementation manner, the calculating the network signal strength of the target area according to the signal power data of each measurement report in the target area and the corresponding area attribute categorization further includes: acquiring signal power data of measurement reports with regional attributes corresponding to each grid region classified as outdoor attributes, and counting the quantity of all outdoor signal power data corresponding to each grid region; comparing the signal power data of the measurement report with a preset high-intensity outdoor signal threshold value, wherein the area attribute is classified as an outdoor attribute, taking the signal power data which is larger than or equal to the preset high-intensity outdoor signal threshold value as the high-intensity outdoor signal data, and counting the quantity of the high-intensity outdoor signal data; and calculating the ratio of the number of the high-intensity outdoor signal data to the number of the total outdoor signal power data in each grid area to obtain the outdoor signal intensity of the grid area.
For example, the number of measurement reports with the area attribute corresponding to the grid area 2 classified as the outdoor attribute is 4, the signal power data of the measurement reports with all the area attributes classified as the indoor attribute is 4, the 4 signal power data are respectively-90 dbm, -70dbm, -100dbm and-70 dbm, the preset high-strength outdoor signal threshold is-80 dbm, and after comparison, the indoor signal strength of the grid area is 2/4=0.5 if 2 signal power data are high-strength indoor signal data.
According to the scheme provided by the embodiment of the disclosure, a plurality of measurement reports generated in a target area are acquired; selecting an outdoor sample measurement report with regional attribute classified as outdoor attribute from all measurement reports, and constructing an outdoor measurement report sampling point fingerprint library by utilizing the outdoor sample measurement report; comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint library, and determining the regional attribute classification of the other measurement reports; and calculating the network signal strength of the target area according to the signal power data of each measurement report in the target area and the corresponding area attribute classification. According to the scheme of the embodiment, the regional attribute classification of a plurality of measurement reports generated by the target region is realized, and the indoor network signal intensity and the outdoor network signal intensity are accurately calculated.
Fig. 4 is a schematic structural diagram of a mobile network signal strength calculating device according to an embodiment of the present disclosure, and as shown in fig. 4, the device of this embodiment may include: an acquisition module 51, a construction module 52, an analysis module 53, and a calculation module 54;
an acquisition module 51 for acquiring a plurality of measurement reports generated in a target area;
a construction module 52, configured to select an outdoor sample measurement report with a region attribute classified as an outdoor attribute from the measurement reports, and construct an outdoor measurement report sampling point fingerprint library using the outdoor sample measurement report;
The analysis module 53 is configured to compare and analyze other measurement reports by using the outdoor measurement report sampling point fingerprint database, and determine a regional attribute classification of the other measurement reports;
the calculating module 54 is configured to calculate the network signal strength of the target area according to the signal power data of each measurement report in the target area and the corresponding area attribute classification.
Optionally, the construction module 52 is specifically configured to determine a moving speed of a terminal to which the measurement report belongs according to a session identifier and longitude and latitude data of the measurement report, and select a first outdoor sample measurement report with an area attribute classified as an outdoor attribute from each measurement report; determining the propagation loss difference value of each residual measurement report according to the signal power data of each residual measurement report, and selecting a second outdoor sample measurement report with regional attribute classified as outdoor attribute from the residual measurement reports; wherein, the residual measurement report refers to a measurement report except a first outdoor sample measurement report in each measurement report; the first outdoor sample measurement report and the second outdoor sample measurement report constitute an outdoor sample measurement report.
Optionally, the construction module 52 is specifically configured to cluster measurement reports with the same session identifier, and obtain a plurality of measurement report sets, where each measurement report set includes at least two measurement reports with the same session identifier; calculating and obtaining the moving speed of the terminal of each measurement report set by using longitude and latitude data in each measurement report set; and if the moving speed of the terminal is greater than or equal to a preset speed threshold, classifying the measurement report in the measurement report set corresponding to the terminal as a first outdoor sample measurement report with the area attribute being an outdoor attribute.
Optionally, the construction module 52 is specifically configured to calculate and obtain an actual propagation loss of each remaining measurement report by using signal power data of the remaining measurement report; obtaining the corresponding theoretical propagation loss of each residual measurement report, and calculating the difference between the actual propagation loss of each residual measurement report and the theoretical propagation loss of each residual measurement report to obtain the propagation loss difference value of each residual measurement report; and if the propagation loss difference value is smaller than a preset loss difference value threshold value, classifying the measurement report corresponding to the propagation loss difference value as a second outdoor sample measurement report with the area attribute as the outdoor attribute.
Optionally, the construction module 52 is specifically configured to perform grid division on the target area according to a preset grid size, so as to obtain at least one grid area; clustering each outdoor sample measurement report based on a geographic area by using longitude and latitude data of the outdoor sample measurement report; establishing geographic corresponding relations between each cluster and each grid area; and constructing an outdoor measurement report sampling point fingerprint library according to the outdoor sample measurement reports corresponding to the grid areas.
Optionally, the analysis module 53 is specifically configured to determine whether the regional attribute of each other measurement report is classified as an indoor attribute according to the signal power data and the cell identifier of the other measurement report; and classifying the regional attribute in each other measurement report into a measurement report with no indoor attribute, and judging each outdoor sampling measurement report in the outdoor measurement report sampling point fingerprint library to determine the regional attribute classification of the measurement report with the regional attribute classified into the indoor attribute in each other measurement report.
Optionally, the analysis module 53 is specifically configured to query by using the cell identifier of the other measurement report to obtain the signal power of the cell to which the other measurement report belongs; and if the signal power of the cell meets the preset judging condition, classifying the regional attribute of the measurement report corresponding to the cell as an indoor attribute.
Optionally, the analysis module 53 is specifically configured to acquire a specific number of signal power data from each grid area of the outdoor measurement report sampling point fingerprint library, and calculate an average value of the specific number of signal power data of each grid area as an outdoor attribute determination threshold of each grid area; determining geographic corresponding relations between the measurement reports with the regional attribute classified as the indoor attribute and the grid regions according to longitude and latitude data of the measurement reports with the regional attribute classified as the indoor attribute in other measurement reports; comparing signal power data of the measurement report, of which the region attribute corresponding to each grid region is classified as not being an indoor attribute, with the outdoor data judgment threshold; if the signal power data of the measurement report, which is not classified as the indoor attribute, of the region attribute corresponding to each grid region is larger than or equal to the outdoor data judgment threshold, classifying the measurement report region attribute as the outdoor attribute; and taking the mobile network data corresponding to the signal power data smaller than the outdoor data judgment threshold value as the mobile network data belonging to the indoor.
Optionally, the calculating module 54 is specifically configured to obtain signal power data of a measurement report with area attributes corresponding to each grid area classified as indoor attributes, and count the number of all indoor signal power data corresponding to each grid area; comparing the signal power data of the measurement report with a preset high-intensity indoor signal threshold value, wherein the area attribute is classified as an indoor attribute, taking the signal power data which is larger than or equal to the preset high-intensity indoor signal threshold value as the high-intensity indoor signal data, and counting the quantity of the high-intensity indoor signal data; and calculating the ratio of the number of the high-intensity indoor signal data to the number of the total indoor signal power data in each grid area to obtain the indoor signal intensity of the grid area.
Optionally, the calculating module 54 is specifically configured to obtain signal power data of a measurement report with area attributes corresponding to each grid area classified as outdoor attributes, and count the number of all outdoor signal power data corresponding to each grid area; comparing the signal power data of the measurement report with a preset high-intensity outdoor signal threshold value, wherein the area attribute is classified as an outdoor attribute, taking the signal power data which is larger than or equal to the preset high-intensity outdoor signal threshold value as the high-intensity outdoor signal data, and counting the quantity of the high-intensity outdoor signal data; and calculating the ratio of the number of the high-intensity outdoor signal data to the number of the total outdoor signal power data in each grid area to obtain the outdoor signal intensity of the grid area.
The device of the present embodiment may be used to implement the technical solution of the foregoing method embodiment, and its implementation principle is similar, and will not be described herein again.
The embodiment of the disclosure provides a mobile network signal strength calculating device, which acquires a plurality of measurement reports generated in a target area; selecting an outdoor sample measurement report with regional attribute classified as outdoor attribute from all measurement reports, and constructing an outdoor measurement report sampling point fingerprint library by utilizing the outdoor sample measurement report; comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint library, and determining the regional attribute classification of the other measurement reports; and calculating the network signal strength of the target area according to the signal power data of each measurement report in the target area and the corresponding area attribute classification. According to the scheme of the embodiment, the regional attribute classification of a plurality of measurement reports generated by the target region is realized, and the indoor network signal intensity and the outdoor network signal intensity are accurately calculated.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, as shown in fig. 5, an electronic device 60 according to the present embodiment may include: a memory 61, and a processor 62.
A memory 61 for storing a computer program (such as an application program, a functional module, etc. implementing a mobile network signal strength calculation method described above), computer instructions, etc.;
the computer programs, computer instructions, etc. described above may be stored in one or more of the memories 61 in a partitioned manner. And the above-described computer programs, computer instructions, data, etc. may be invoked by the processor 62.
A processor 62 for executing the computer program stored in the memory 61 to realize the respective steps in the method according to the above-described embodiment.
Reference may be made in particular to the description of the embodiments of the method described above.
The memory 61 and the processor 62 may be separate structures or may be integrated structures integrated together. When the memory 61 and the processor 62 are separate structures, the memory 61 and the processor 62 may be coupled by a bus 63.
An electronic device of this embodiment may execute the technical solutions in the methods shown in fig. 2-5, and specific implementation processes and technical principles thereof are described with reference to the related descriptions in the methods shown in fig. 2-5, which are not repeated herein.
In addition, the embodiment of the application further provides a computer-readable storage medium, wherein computer-executable instructions are stored in the computer-readable storage medium, and when at least one processor of the user equipment executes the computer-executable instructions, the user equipment executes the various possible methods.
Among them, computer-readable media include computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. In addition, the ASIC may reside in a user device. The processor and the storage medium may reside as discrete components in a communication device.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (12)
1. A method for calculating signal strength of a mobile network, comprising:
acquiring a plurality of measurement reports generated in a target area;
selecting an outdoor sample measurement report with regional attribute classified as outdoor attribute from all measurement reports, and constructing an outdoor measurement report sampling point fingerprint library by utilizing the outdoor sample measurement report;
comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint library, and determining the regional attribute classification of the other measurement reports; wherein the other measurement reports refer to measurement reports except for an outdoor sample measurement report in all measurement reports;
According to the signal power data of each measurement report in the target area and the corresponding area attribute classification, calculating the network signal strength of the target area;
the measurement report comprises signal power data, longitude and latitude data and session identification;
correspondingly, the outdoor sample measurement report with the area attribute classified as the outdoor attribute is selected from the measurement reports, and the method comprises the following steps:
determining the moving speed of a terminal to which the measurement report belongs according to the session identification and longitude and latitude data of the measurement report, and selecting a first outdoor sample measurement report with regional attribute classified as an outdoor attribute from the measurement reports according to the moving speed of the terminal to which the measurement report belongs;
determining a propagation loss difference value of each residual measurement report according to the signal power data of each residual measurement report, and selecting a second outdoor sample measurement report with regional attribute classified as outdoor attribute from the residual measurement reports according to the propagation loss difference value; wherein, the residual measurement report refers to a measurement report except a first outdoor sample measurement report in each measurement report;
the first outdoor sample measurement report and the second outdoor sample measurement report constitute an outdoor sample measurement report.
2. The computing method according to claim 1, wherein the determining the moving speed of the terminal to which the measurement report belongs according to the session identifier of the measurement report and the latitude and longitude data, and selecting the first outdoor sample measurement report with the area attribute classified as the outdoor attribute from the measurement reports, comprises:
clustering measurement reports with the same session identifier to obtain a plurality of measurement report sets, wherein each measurement report set comprises at least two measurement reports with the same session identifier;
calculating and obtaining the moving speed of the terminal of each measurement report set by using longitude and latitude data in each measurement report set;
and if the moving speed of the terminal is greater than or equal to a preset speed threshold, classifying the measurement report in the measurement report set corresponding to the terminal as a first outdoor sample measurement report with the area attribute being an outdoor attribute.
3. The computing method of claim 2, wherein determining a propagation loss difference value for each remaining measurement report based on the signal power data for each remaining measurement report, and selecting a second outdoor sample measurement report having a region attribute classified as an outdoor attribute from the remaining measurement reports, comprises:
Calculating and obtaining the actual propagation loss of each residual measurement report by using the signal power data of each residual measurement report;
obtaining the corresponding theoretical propagation loss of each residual measurement report, and calculating the difference between the actual propagation loss of each residual measurement report and the theoretical propagation loss of each residual measurement report to obtain the propagation loss difference value of each residual measurement report;
and if the propagation loss difference value is smaller than a preset loss difference value threshold value, classifying the measurement report corresponding to the propagation loss difference value as a second outdoor sample measurement report with the area attribute as the outdoor attribute.
4. The computing method of claim 1, wherein constructing an outdoor measurement report sampling point fingerprint library using the outdoor sample measurement report comprises:
dividing a target area into grids according to a preset grid size to obtain at least one grid area;
clustering each outdoor sample measurement report based on a geographic area by using longitude and latitude data of the outdoor sample measurement report;
establishing geographic corresponding relations between each cluster and each grid area;
and constructing an outdoor measurement report sampling point fingerprint library according to the outdoor sample measurement reports corresponding to the grid areas.
5. The computing method of claim 1, wherein the measurement report further includes a cell identification code;
correspondingly, the comparing and analyzing the other measurement reports by using the outdoor measurement report sampling point fingerprint database to determine the region attribute classification of the other measurement reports comprises the following steps:
determining whether the regional attribute classification of each other measurement report is an indoor attribute according to the signal power data of the other measurement reports and the cell identification code;
and classifying the regional attribute in each other measurement report into a measurement report with no indoor attribute, and judging each outdoor sampling measurement report in the outdoor measurement report sampling point fingerprint library to determine the regional attribute classification of the measurement report with the regional attribute classified into the indoor attribute in each other measurement report.
6. The computing method of claim 5, wherein determining whether the regional attribute classification of each other measurement report is an indoor attribute based on the signal power data of the other measurement report and a cell identification code comprises:
inquiring by using the cell identification codes of the other measurement reports to obtain the signal power of the cell to which the other measurement reports belong;
And if the signal power of the cell meets the preset judging condition, classifying the regional attribute of the measurement report corresponding to the cell as an indoor attribute, wherein the preset judging condition is set according to a preset signal power threshold and the generation time of the measurement report.
7. The computing method of claim 6, wherein the classifying the region attribute of each other measurement report as a measurement report not having an indoor attribute, and the discriminating with each outdoor sampling measurement report in the outdoor measurement report sampling point fingerprint library to determine the region attribute of each other measurement report as a measurement report not having an indoor attribute, comprises:
acquiring a specific number of signal power data from each grid area of the outdoor measurement report sampling point fingerprint library, and calculating an average value of the specific number of signal power data of each grid area as an outdoor attribute judgment threshold value of each grid area;
determining geographic corresponding relations between the measurement reports with the regional attribute classified as the indoor attribute and the grid regions according to longitude and latitude data of the measurement reports with the regional attribute classified as the indoor attribute in other measurement reports;
Comparing signal power data of the measurement report, of which the region attribute corresponding to each grid region is classified as not being an indoor attribute, with the outdoor attribute judgment threshold;
if the signal power data of the measurement report, which is classified as the indoor attribute by the regional attribute corresponding to each grid region, is more than or equal to the outdoor attribute judgment threshold, classifying the measurement report regional attribute as the outdoor attribute;
and taking the mobile network data corresponding to the signal power data smaller than the outdoor attribute judgment threshold value as the mobile network data belonging to the indoor.
8. The computing method of claim 7, wherein the network signal strengths of the target area include a grid area indoor signal strength and a grid area outdoor signal strength;
correspondingly, the calculating the network signal strength of the target area according to the signal power data of each measurement report in the target area and the corresponding area attribute classification includes:
acquiring signal power data of measurement reports with regional attributes corresponding to each grid region classified as indoor attributes, and counting the quantity of all indoor signal power data corresponding to each grid region;
comparing the signal power data of the measurement report with a preset high-intensity indoor signal threshold value, wherein the area attribute is classified as an indoor attribute, taking the signal power data which is larger than or equal to the preset high-intensity indoor signal threshold value as the high-intensity indoor signal data, and counting the quantity of the high-intensity indoor signal data;
And calculating the ratio of the number of the high-intensity indoor signal data to the number of the total indoor signal power data in each grid area to obtain the indoor signal intensity of the grid area.
9. The computing method of claim 8, wherein the computing the network signal strength for the target area based on the signal power data for each measurement report in the target area and the corresponding area attribute classification, further comprises:
acquiring signal power data of measurement reports with regional attributes corresponding to each grid region classified as outdoor attributes, and counting the quantity of all outdoor signal power data corresponding to each grid region;
comparing the signal power data of the measurement report with a preset high-intensity outdoor signal threshold value, wherein the area attribute is classified as an outdoor attribute, taking the signal power data which is larger than or equal to the preset high-intensity outdoor signal threshold value as the high-intensity outdoor signal data, and counting the quantity of the high-intensity outdoor signal data;
and calculating the ratio of the number of the high-intensity outdoor signal data to the number of the total outdoor signal power data in each grid area to obtain the outdoor signal intensity of the grid area.
10. A mobile network signal strength computing device, comprising: the system comprises an acquisition module, a construction module, an analysis module and a calculation module;
The acquisition module is used for acquiring a plurality of measurement reports generated in the target area;
the construction module is used for selecting outdoor sample measurement reports with regional attributes classified as outdoor attributes from all the measurement reports, and constructing an outdoor measurement report sampling point fingerprint library by utilizing the outdoor sample measurement reports;
the analysis module is used for comparing and analyzing other measurement reports by utilizing the outdoor measurement report sampling point fingerprint database and determining the regional attribute classification of the other measurement reports;
the calculation module is used for calculating the network signal strength of the target area according to the signal power data of each measurement report in the target area and the corresponding area attribute classification;
the measurement report comprises signal power data, longitude and latitude data and session identification;
correspondingly, the construction module is specifically configured to determine a moving speed of a terminal to which the measurement report belongs according to a session identifier and longitude and latitude data of the measurement report, and select a first outdoor sample measurement report with an area attribute classified as an outdoor attribute from the measurement reports according to the moving speed of the terminal to which the measurement report belongs; determining a propagation loss difference value of each residual measurement report according to the signal power data of each residual measurement report, and selecting a second outdoor sample measurement report with regional attribute classified as outdoor attribute from the residual measurement reports according to the propagation loss difference value; wherein, the residual measurement report refers to a measurement report except a first outdoor sample measurement report in each measurement report; the first outdoor sample measurement report and the second outdoor sample measurement report constitute an outdoor sample measurement report.
11. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing computer-executable instructions stored in the memory causes the at least one processor to perform the computing method of any one of claims 1-9.
12. A computer readable storage medium having stored therein computer executable instructions which, when executed by a processor, implement the computing method of any of claims 1-9.
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