CN112533253A - 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 method and a device for calculating the signal intensity of a mobile network, 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 of which the area attribute is classified as the outdoor attribute from each measurement report, and constructing an outdoor measurement report sampling point fingerprint database by using the outdoor sample measurement report; comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint database, and determining the region attribute classification of the other measurement reports; and classifying according to the signal power data of each measurement report in the target area and the corresponding area attribute, and calculating the network signal strength of the target area. According to the scheme of the invention, the regional attribute classification of a plurality of measurement reports generated in the target region is realized, and further the indoor network signal intensity and the outdoor network signal intensity are accurately calculated.
Description
Technical Field
The present invention relates to the field of mobile network technologies, and in particular, to a method and an apparatus for calculating a signal strength of a mobile network, an electronic device, and a storage medium.
Background
In recent years, with the development of mobile internet, users have increasingly demanded mobile network performance, and signal strength in a network coverage area is an important index for judging the mobile network performance.
In the prior art, when a network service is performed according to a mobile terminal, the position of the mobile terminal is determined according to a base station to which the mobile terminal is connected, and then the signal strength of an indoor or outdoor mobile network 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 based on the base station position, and therefore it is difficult to accurately calculate the indoor network signal strength and the outdoor network signal strength.
Disclosure of Invention
The invention provides a method and a device for calculating the signal intensity of a mobile network, electronic equipment and a storage medium, which can classify the regional attributes of a plurality of measurement reports generated in a target region, further accurately calculate the signal intensity of an indoor network and the signal intensity of an outdoor network and are used for improving the network performance of the target region.
In a first aspect, an embodiment of the present invention provides a method for calculating a signal strength of a mobile network, including:
acquiring a plurality of measurement reports generated in a target area;
selecting an outdoor sample measurement report of which the area attribute is classified as the outdoor attribute from each measurement report, and constructing an outdoor measurement report sampling point fingerprint database by using the outdoor sample measurement report;
comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint database, and determining the region attribute classification of the other measurement reports; wherein the other measurement reports refer to measurement reports except for the outdoor sample measurement report in all the measurement reports;
and classifying according to the signal power data of each measurement report in the target area and the corresponding area attribute, and calculating the network signal strength of the target area.
In an optional embodiment, the measurement report includes signal power data, latitude and longitude data, and a session identifier;
correspondingly, the selecting an outdoor sample measurement report with the area attribute classified as the outdoor attribute from the measurement reports includes:
determining the moving speed of a terminal to which the measurement report belongs according to the session identification and the longitude and latitude data of the measurement report, and selecting a first outdoor sample measurement report of which the area attribute is classified as the outdoor attribute from each measurement report;
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 of which the region attribute is classified as the outdoor attribute from the residual measurement reports; wherein, the remaining measurement reports refer to measurement reports except the 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, according to the session identifier and the latitude and longitude data of the measurement report, the moving speed of the terminal to which the measurement report belongs, and selecting, from each measurement report, a first outdoor sample measurement report whose area attribute is classified as an outdoor attribute includes:
clustering the 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 to which each measurement report set belongs by utilizing 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, taking the measurement report in the measurement report set corresponding to the terminal as a first outdoor sample measurement report of which the area attribute is classified as the outdoor attribute.
In an optional embodiment, the determining a 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 from the remaining measurement reports, where the area attribute is classified as an outdoor attribute, 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 theoretical propagation loss corresponding to 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 of each residual measurement report;
and if the propagation loss difference is smaller than a preset loss difference threshold, taking the measurement report corresponding to the propagation loss difference as a second outdoor sample measurement report of which the region attribute is classified as the outdoor attribute.
In an optional embodiment, the constructing an outdoor measurement report sampling point fingerprint database by using the outdoor sample measurement report includes:
performing grid division on a target area according to a preset grid size to obtain at least one grid area;
clustering each outdoor sample measurement report based on a geographical area by utilizing longitude and latitude data of the outdoor sample measurement report;
establishing a geographical corresponding relation between each cluster and each grid region;
and constructing an outdoor measurement report sampling point fingerprint database according to the outdoor sample measurement report corresponding to each grid region.
In an optional embodiment, the measurement report further includes a cell identity;
correspondingly, the comparing and analyzing of 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:
determining whether the area attribute classification of each other measurement report is an indoor attribute according to the signal power data and the cell identification code of the other measurement report;
and classifying the area attribute of the measurement report which is not the indoor attribute in other measurement reports, and performing discrimination processing on the measurement report which is not the indoor attribute in the sampling point fingerprint database of the outdoor measurement report so as to determine the area attribute classification of the measurement report which is not the indoor attribute in other measurement reports.
In an optional embodiment, the determining, according to the signal power data of the other measurement reports and the cell identification code, whether the area attribute of each other measurement report is classified as an indoor attribute 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 a preset judgment condition, classifying the area attribute of the measurement report corresponding to the cell into an indoor attribute, wherein the preset judgment condition is set according to a preset signal power threshold and the generation time of the measurement report.
In an optional embodiment, the determining, by performing discrimination processing on the measurement report in which the area attribute is classified as not being the indoor attribute in each of the other measurement reports and each of the outdoor sampling measurement reports in the outdoor measurement report sampling point fingerprint library, the classification of the area attribute of the measurement report in which the area attribute is classified as not being the indoor attribute in each of the other measurement reports includes:
acquiring a specific number of signal power data from each grid region of the outdoor measurement report sampling point fingerprint database, and calculating an average value of the specific number of signal power data of each grid region as an outdoor attribute judgment threshold of each grid region;
according to longitude and latitude data of measurement reports of which the regional attributes are classified as not indoor attributes in other measurement reports, determining the geographic corresponding relation between the measurement reports of which the regional attributes are classified as not indoor attributes and each grid region;
comparing the signal power data of the measurement report for which the zone attribute corresponding to each grid zone is classified as not being an indoor attribute with the outdoor data decision threshold;
and if the signal power data of the measurement report of which the region attribute is classified as the indoor attribute corresponding to each grid region is greater 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.
In an alternative embodiment, the network signal strength of the target area comprises a grid area indoor signal strength and a grid area outdoor signal strength;
correspondingly, the classifying according to the signal power data of each measurement report in the target area and the corresponding area attribute and calculating the network signal strength of the target area includes:
acquiring signal power data of a measurement report of which the region attribute corresponding to each grid region is classified as an indoor attribute, and counting the number of all indoor signal power data corresponding to each grid region;
comparing signal power data of a measurement report, which classifies the region attribute as an indoor attribute, with a preset high-strength indoor signal threshold, taking the signal power data which is greater than or equal to the preset high-strength indoor signal threshold as high-strength indoor signal data, and counting the number of the high-strength indoor signal data;
and calculating the ratio of the number of high-strength indoor signal data in each grid area to the number of all indoor signal power data to obtain the indoor signal strength of the grid area.
In an optional embodiment, the classifying according to the signal power data of each measurement report in the target area and the corresponding area attribute and calculating the network signal strength of the target area further includes:
acquiring signal power data of a measurement report of which the region attribute corresponding to each grid region is classified as an outdoor attribute, and counting the number of all outdoor signal power data corresponding to each grid region;
comparing signal power data of a measurement report, which classifies the region attribute as an outdoor attribute, with a preset high-strength outdoor signal threshold, taking the signal power data which is greater than or equal to the preset high-strength outdoor signal threshold as high-strength outdoor signal data, and counting the number of the high-strength outdoor signal data;
and calculating the ratio of the number of the high-strength outdoor signal data in each grid area to the number of all outdoor signal power data to obtain the outdoor signal strength of the grid area.
In a second aspect, an embodiment of the present invention provides a mobile network signal strength calculating 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 a target area;
the construction module is used for selecting outdoor sample measurement reports of which the area attributes are classified as outdoor attributes from the measurement reports, and constructing an outdoor measurement report sampling point fingerprint database by using the outdoor sample measurement reports;
the analysis module is used for comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint database and determining the region attribute classification of the other measurement reports;
and the calculation module is used for classifying according to the signal power data of each measurement report in the target area and the corresponding area attribute and calculating the network signal strength of the target area.
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 the computer-executable instructions stored by the memory causes the at least one processor to perform the computing method of any of the first aspects.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the computing method in any one of the first aspect.
The invention provides a method and a device for calculating the signal intensity of a mobile network, electronic equipment and a storage medium, which are used for acquiring a plurality of measurement reports generated in a target area; selecting an outdoor sample measurement report of which the area attribute is classified as the outdoor attribute from each measurement report, and constructing an outdoor measurement report sampling point fingerprint database by using the outdoor sample measurement report; comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint database, and determining the region attribute classification of the other measurement reports; and classifying according to the signal power data of each measurement report in the target area and the corresponding area attribute, and calculating the network signal strength of the target area. According to the scheme of the invention, the regional attribute classification of a plurality of measurement reports generated in the target region is realized, and further the indoor network signal intensity and the outdoor network signal intensity are accurately calculated.
It should be understood that what is described in the summary above is not intended to limit key or critical features of embodiments of the invention, nor is it intended to limit the scope of the invention. Other features of the present invention will become apparent from the following description.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic diagram of a scenario architecture upon which the present disclosure is based;
fig. 2 is a flowchart of a method for calculating signal strength of a mobile network 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 apparatus 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 certain embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present invention. It should be understood that the drawings and the embodiments of the present invention are illustrative only and are not intended to limit the scope of the present invention.
In recent years, with the development of mobile internet, more and more users are connected to the internet through mobile terminals, and the performance of a mobile network directly affects the user experience, so when evaluating the mobile network in a target area, the obtained test report needs to be subjected to regional attribution classification to calculate the indoor and outdoor network signal strength in the target area.
In the prior art, generally, according to a measurement report generated when a mobile terminal performs a network service, a base station connected to the mobile terminal is determined by using information in the measurement report, a location of the mobile terminal is determined according to a region attribution of the base station, and then indoor and outdoor mobile network signal strength in a target region is calculated according to the location of the mobile terminal and the corresponding measurement report.
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 based on the base station position.
In view of these problems, the inventors have found that, by using a measurement report generated in a target region, a sample measurement report belonging to the outdoors can be selected according to data in the measurement report, a sample measurement report belonging to the outdoors can be determined from other measurement reports by using a sample measurement report belonging to the outdoors to construct an outdoor measurement report sampling point fingerprint database, and the indoor and outdoor network signal strengths in the target region can be calculated after performing region classification on the measurement reports generated in the target region.
Fig. 1 is a schematic view of a scene architecture based on the present disclosure, as shown in fig. 1, a scene architecture based on 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, and a smart phone. The embodiment does not set any particular limitation on the implementation manners of the terminal 11 and the server 12, as long as normal communication with the base station 13 is possible, and the method for calculating the signal strength of the mobile network provided by the embodiment of the present application may be performed by the server 12 provided by the embodiment of the present application.
When a user uses the terminal 11 to connect 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 may specifically be 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 obtain the measurement report generated by the terminal 11 from the base station 13, or may store the measurement report itself for performing the mobile network signal strength calculation. The embodiment is not particularly limited to the specific implementation.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Fig. 2 is a flowchart of a method for calculating a signal strength of a mobile network according to an embodiment of the present disclosure, and as shown in fig. 2, the method of this embodiment may include:
s21, acquiring a plurality of measurement reports generated in the target area;
in this embodiment, the target area is an area covered by a mobile network, and the measurement report is generated when a user uses a terminal to connect to the mobile network in the target area for performing a service.
S22, selecting outdoor sample measurement reports with the area attributes classified as outdoor attributes from the measurement reports, and constructing an outdoor measurement report sampling point fingerprint database by using the outdoor sample measurement reports;
in the embodiment, the outdoor sample measurement report of which the area attribute is classified as the outdoor attribute can be efficiently and quickly distinguished according to the data in the measurement report, so that an outdoor measurement report sampling point fingerprint database is constructed.
Optionally, the measurement report includes signal power data, latitude and longitude data, and a 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 the longitude and latitude data of the measurement report, and selecting a first outdoor sample measurement report of which the area attribute is classified as the 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 the outdoor attribute is determined according to the moving speed of the terminal to which the measurement report belongs.
Specifically, in one possible implementation, the measurement reports with the same session identifier are clustered 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 to which each measurement report set belongs by utilizing 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, taking the measurement report in the measurement report set corresponding to the terminal as a first outdoor sample measurement report of which the area attribute is classified as the outdoor attribute.
For example, in the 4 measurement reports, the session identifiers of the measurement report 1 and the measurement report 2 are both a1, the session identifiers of the measurement report 3 and the measurement report 4 are both a2, which indicates that the measurement report 1 and the measurement report 2 belong to the same terminal, and the measurement report 3 and the measurement report 4 also belong to the same terminal, then the measurement report 1 and the measurement report 2 are clustered into the measurement report set 1, the measurement report 3 and the measurement report 4 are clustered into the measurement report set 2, the moving speed of the terminal to which the measurement report set 1 belongs is obtained by calculation according to the longitude and latitude data of the measurement report 1 and the measurement report 2 in the measurement report set 1 is 2m/s, the moving speed of the terminal to which the measurement report set 2 belongs is obtained by calculation according to the longitude and latitude data of the measurement report 3 and the measurement report 4 in the measurement report set 2 is 0.5m/s, and the preset speed threshold is 1m/s, and if the moving speed of the terminal to which the measurement report set 1 belongs is 2m/s and is more than 1m/s, classifying the measurement report 1 and the measurement report 2 in the measurement report set 1 as the first outdoor sample measurement report of which the area attribute is the outdoor attribute.
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 of which the region attribute is classified as the outdoor attribute from the residual measurement reports; wherein, the remaining measurement reports refer to measurement reports except the 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 is classified as the outdoor attribute in the remaining measurement reports is determined according to the propagation loss difference.
Specifically, in one possible implementation, the actual propagation loss of each remaining measurement report is calculated and obtained by using the signal power data of the remaining measurement report; obtaining theoretical propagation loss corresponding to 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 of each residual measurement report; and if the propagation loss difference is smaller than a preset loss difference threshold, taking the measurement report corresponding to the propagation loss difference as a second outdoor sample measurement report of which the region attribute is classified as the outdoor attribute.
For example, the remaining measurement reports include measurement report 5 and measurement report 6, the propagation loss difference values of measurement report 5 and measurement report 6 are calculated as 8% and 12% respectively by using the signal power difference values of measurement report 5 and measurement report 6, and since the preset loss difference threshold is 10%, the propagation loss difference value of measurement report 5 is 8% and is less than 10%, the measurement report 5 is classified as the second outdoor sample measurement report of the area attribute as the outdoor 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 database by using the outdoor sample measurement report, wherein S22 further includes:
performing grid division on a target area according to a preset grid size to obtain at least one grid area;
for example, fig. 3 is a schematic diagram illustrating target area grid division according to an embodiment of the present disclosure, as shown in fig. 3, a size of the target area is 1300m × 1300m, a preset grid size is 100m × 100m, and the target area is divided into 169 grid areas of 100m × 100m according to the preset grid size, and numbered as grid area 1-grid area 169.
Clustering each outdoor sample measurement report based on a geographical area by utilizing longitude and latitude data of the outdoor sample measurement report;
for example, the measurement reports 1 to 5 in the target area are clustered according to the latitude and longitude data in a range of 50m by 50m to form a cluster 1.
Establishing a geographical corresponding relation between each cluster and each grid region;
for example, the target region is 1000m by 1000m, has been divided into 40 grid regions of 50m by 50m, and is numbered grid region 1-grid region 40, cluster 1 includes measurement reports 1-5, and cluster 1 corresponds geographically to grid region 1.
And constructing an outdoor measurement report sampling point fingerprint database according to the outdoor sample measurement report corresponding to each grid region.
In this example, after the geographical correspondence between each cluster and each grid region is established, it is equivalent to establishing the geographical correspondence between the outdoor sample measurement report and each grid region, and all the outdoor sample measurement reports in each grid region and the geographical correspondence between the outdoor sample measurement report and each grid region constitute the outdoor measurement report sampling point fingerprint library.
S23, comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint database, and determining the region attribute classification of the other measurement reports; wherein the other measurement reports refer to measurement reports except for the outdoor sample measurement report in all the 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 classified according to the region attributes, and the efficiency of classifying the region attributes can be further improved.
Optionally, the measurement report further includes a cell identifier, and S23 specifically includes:
determining whether the area attribute classification of each other measurement report is an indoor attribute according to the signal power data and the cell identification code of the other measurement report;
specifically, in a possible implementation manner, the cell identification code of the other measurement report is used for querying to obtain the signal power of the cell to which the other measurement report belongs; and if the signal power of the cell meets a preset judgment condition, classifying the area attribute of the measurement report corresponding to the cell into an indoor attribute, wherein the preset judgment condition is set according to a preset signal power threshold and the generation time of the measurement report.
For example, the preset determination 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 within a range of 22:00-06:00, the cell identifier in the measurement report 10 is CGI1, the CGI1 is queried to obtain the signal power of the cell to which the measurement report 10 belongs, the acquisition time of the measurement report 10 is 23:00, and the area attribute of the measurement report 10 is classified as the indoor attribute if the preset determination condition is satisfied.
And classifying the area attribute of the measurement report which is not the indoor attribute in other measurement reports, and performing discrimination processing on the measurement report which is not the indoor attribute in the sampling point fingerprint database of the outdoor measurement report so as to determine the area attribute classification of the measurement report which is not the indoor attribute in other measurement reports.
In this example, the measurement reports with the partial region attributes classified as the indoor attributes have been screened in the previous step, and the region attribute classification is determined by distinguishing the remaining measurement reports with each outdoor sampling measurement report in the outdoor measurement report sampling point fingerprint database.
Specifically, in one possible implementation, a specific number of signal power data are acquired from each grid region of the outdoor measurement report sampling point fingerprint database, and an average value of the specific number of signal power data of each grid region is calculated as an outdoor attribute determination threshold of each grid region; according to longitude and latitude data of measurement reports of which the regional attributes are classified as not indoor attributes in other measurement reports, determining the geographic corresponding relation between the measurement reports of which the regional attributes are classified as not indoor attributes and each grid region; comparing the signal power data of the measurement report for which the zone attribute corresponding to each grid zone is classified as not being an indoor attribute with the outdoor data decision threshold; classifying the measurement report region attribute as an outdoor attribute if the signal power data of the measurement report of which the region attribute corresponding to each grid region is classified as not an indoor attribute is greater than or equal to the outdoor data judgment threshold; 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, the grid area 1 corresponds to 100 test reports, the signal power data in 90 test reports is obtained, and the average value is-90 dbm, then the outdoor attribute judgment 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 reports of which the area attributes in other measurement reports are classified as not being the indoor attributes, the signal power data in the test report 20 is-80 dbm, the signal power data in the test report 21 is-100 dbm, since the signal power data in the test report 20 is-80 dbm is greater than the outdoor attribute judgment threshold of the grid area 1-90 dbm, and the signal power data in the test report 21 is-100 dbm is less than the outdoor attribute judgment threshold of the grid area 1-90 dbm, the area attribute of the test report 20 is classified as the outdoor attribute, test report 21 zone attributes are categorized as indoor attributes.
And S24, classifying according to the signal power data of each measurement report in the target area and the corresponding area attribute, and calculating the network signal strength of the target area.
In this embodiment, after the area attributes of the measurement reports generated in the target area are classified, 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.
In one possible embodiment, the network signal strength of the target area comprises a grid area indoor signal strength and a grid area outdoor signal strength;
correspondingly, the classifying according to the signal power data of each measurement report in the target area and the corresponding area attribute and calculating the network signal strength of the target area includes: acquiring signal power data of a measurement report of which the region attribute corresponding to each grid region is classified as an indoor attribute, and counting the number of all indoor signal power data corresponding to each grid region; comparing signal power data of a measurement report, which classifies the region attribute as an indoor attribute, with a preset high-strength indoor signal threshold, taking the signal power data which is greater than or equal to the preset high-strength indoor signal threshold as high-strength indoor signal data, and counting the number of the high-strength indoor signal data; and calculating the ratio of the number of high-strength indoor signal data in each grid area to the number of all indoor signal power data to obtain the indoor signal strength of the grid area.
For example, the number of measurement reports whose area attributes are classified as indoor attributes corresponding to the grid area 2 is 5, the number of signal power data of the measurement reports whose all area attributes are classified as indoor attributes is 5, the 5 signal power data are-80 dbm, -70dbm, -100dbm, -90dbm, and-70 dbm, respectively, the preset high-intensity indoor signal threshold value is-85 dbm, and after comparison, if 3 signal power data are high-intensity indoor signal data, the indoor signal intensity of the grid area is 3/5 ═ 0.6.
In another possible implementation, the classifying according to the signal power data of each measurement report in the target area and the corresponding area attribute and calculating the network signal strength of the target area further includes: acquiring signal power data of a measurement report of which the region attribute corresponding to each grid region is classified as an outdoor attribute, and counting the number of all outdoor signal power data corresponding to each grid region; comparing signal power data of a measurement report, which classifies the region attribute as an outdoor attribute, with a preset high-strength outdoor signal threshold, taking the signal power data which is greater than or equal to the preset high-strength outdoor signal threshold as high-strength outdoor signal data, and counting the number of the high-strength outdoor signal data; and calculating the ratio of the number of the high-strength outdoor signal data in each grid area to the number of all outdoor signal power data to obtain the outdoor signal strength of the grid area.
For example, the number of measurement reports whose area attributes are classified as outdoor attributes corresponding to the grid area 2 is 4, the number of signal power data of the measurement reports whose all area attributes are classified as indoor attributes is 4, the 4 signal power data are-90 dbm, -70dbm, -100dbm, and-70 dbm, respectively, the preset high-strength outdoor signal threshold is-80 dbm, and after comparison, if 2 signal power data are high-strength indoor signal data, the grid area indoor signal strength is 2/4 ═ 0.5.
According to the scheme provided by the embodiment of the disclosure, a plurality of measurement reports generated in a target area are obtained; selecting an outdoor sample measurement report of which the area attribute is classified as the outdoor attribute from each measurement report, and constructing an outdoor measurement report sampling point fingerprint database by using the outdoor sample measurement report; comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint database, and determining the region attribute classification of the other measurement reports; and classifying according to the signal power data of each measurement report in the target area and the corresponding area attribute, and calculating the network signal strength of the target area. According to the scheme of the embodiment, the regional attribute classification of the plurality of measurement reports generated in the target region is realized, and further 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 apparatus provided in an embodiment of the present disclosure, and as shown in fig. 4, the apparatus of the embodiment may include: an acquisition module 51, a construction module 52, an analysis module 53 and a calculation module 54;
an obtaining module 51, configured to obtain a plurality of measurement reports generated in a target area;
the construction module 52 is configured to select an outdoor sample measurement report with an area attribute classified as an outdoor attribute from the measurement reports, and construct an outdoor measurement report sampling point fingerprint database by using the outdoor sample measurement report;
the analysis module 53 is configured to perform comparison analysis on other measurement reports by using the outdoor measurement report sampling point fingerprint library, and determine the region attribute classification of the other measurement reports;
and 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 constructing module 52 is specifically configured to determine a moving speed of the terminal to which the measurement report belongs according to the session identifier and the latitude and longitude data of the measurement report, and select, from each measurement report, a first outdoor sample measurement report whose area attribute is classified as an outdoor attribute; 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 of which the region attribute is classified as the outdoor attribute from the residual measurement reports; wherein, the remaining measurement reports refer to measurement reports except the 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 constructing module 52 is specifically configured to cluster the measurement reports with the same session identifier to 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 to which each measurement report set belongs by utilizing 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, taking the measurement report in the measurement report set corresponding to the terminal as a first outdoor sample measurement report of which the area attribute is classified as the outdoor attribute.
Optionally, the building module 52 is specifically configured to calculate, by using the signal power data of each remaining measurement report, to obtain an actual propagation loss of each remaining measurement report; obtaining theoretical propagation loss corresponding to 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 of each residual measurement report; and if the propagation loss difference is smaller than a preset loss difference threshold, taking the measurement report corresponding to the propagation loss difference as a second outdoor sample measurement report of which the region attribute is classified as the outdoor attribute.
Optionally, the building module 52 is specifically configured to perform grid division on the target region according to a preset grid size to obtain at least one grid region; clustering each outdoor sample measurement report based on a geographical area by utilizing longitude and latitude data of the outdoor sample measurement report; establishing a geographical corresponding relation between each cluster and each grid region; and constructing an outdoor measurement report sampling point fingerprint database according to the outdoor sample measurement report corresponding to each grid region.
Optionally, the analysis module 53 is specifically configured to determine whether the area 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 area attribute of the measurement report which is not the indoor attribute in other measurement reports, and performing discrimination processing on the measurement report which is not the indoor attribute in the sampling point fingerprint database of the outdoor measurement report so as to determine the area attribute classification of the measurement report which is not the indoor attribute in other measurement reports.
Optionally, the analysis module 53 is specifically configured to perform 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 a preset judgment condition, classifying the area attribute of the measurement report corresponding to the cell as an indoor attribute.
Optionally, the analysis module 53 is specifically configured to obtain a specific number of signal power data from each grid region 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 region as an outdoor attribute determination threshold of each grid region; according to longitude and latitude data of measurement reports of which the regional attributes are classified as not indoor attributes in other measurement reports, determining the geographic corresponding relation between the measurement reports of which the regional attributes are classified as not indoor attributes and each grid region; comparing the signal power data of the measurement report for which the zone attribute corresponding to each grid zone is classified as not being an indoor attribute with the outdoor data decision threshold; classifying the measurement report region attribute as an outdoor attribute if the signal power data of the measurement report of which the region attribute corresponding to each grid region is classified as not an indoor attribute is greater than or equal to the outdoor data judgment threshold; 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 in which the area attribute corresponding to each grid area is classified as an indoor attribute, and count the number of all indoor signal power data corresponding to each grid area; comparing signal power data of a measurement report, which classifies the region attribute as an indoor attribute, with a preset high-strength indoor signal threshold, taking the signal power data which is greater than or equal to the preset high-strength indoor signal threshold as high-strength indoor signal data, and counting the number of the high-strength indoor signal data; and calculating the ratio of the number of high-strength indoor signal data in each grid area to the number of all indoor signal power data to obtain the indoor signal strength of the grid area.
Optionally, the calculating module 54 is specifically configured to obtain signal power data of a measurement report in which the area attribute corresponding to each grid area is classified as an outdoor attribute, and count the number of all outdoor signal power data corresponding to each grid area; comparing signal power data of a measurement report, which classifies the region attribute as an outdoor attribute, with a preset high-strength outdoor signal threshold, taking the signal power data which is greater than or equal to the preset high-strength outdoor signal threshold as high-strength outdoor signal data, and counting the number of the high-strength outdoor signal data; and calculating the ratio of the number of the high-strength outdoor signal data in each grid area to the number of all outdoor signal power data to obtain the outdoor signal strength of the grid area.
The apparatus of this embodiment may be configured to implement the technical solutions of the above method embodiments, and the implementation principles thereof are similar and will not be described herein again.
The embodiment of the disclosure provides a mobile network signal strength calculation device, which acquires a plurality of measurement reports generated in a target area; selecting an outdoor sample measurement report of which the area attribute is classified as the outdoor attribute from each measurement report, and constructing an outdoor measurement report sampling point fingerprint database by using the outdoor sample measurement report; comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint database, and determining the region attribute classification of the other measurement reports; and classifying according to the signal power data of each measurement report in the target area and the corresponding area attribute, and calculating the network signal strength of the target area. According to the scheme of the embodiment, the regional attribute classification of the plurality of measurement reports generated in the target region is realized, and further 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, and as shown in fig. 5, an electronic device 60 according to this embodiment may include: memory 61, processor 62.
A memory 61 for storing a computer program (such as an application program, a functional module, and the like implementing the above-mentioned mobile network signal strength calculation method), computer instructions, and the like;
the computer programs, computer instructions, etc. described above may be stored in one or more memories 61 in partitions. And the computer programs, computer instructions, data, etc. described above may be invoked by the processor 62.
A processor 62 for executing the computer program stored in the memory 61 to implement the steps of the method according to the above embodiments.
Reference may be made in particular to the description relating to the preceding method embodiment.
The memory 61 and the processor 62 may be separate structures or may be an integrated structure 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.
The electronic device of this embodiment may execute the technical solutions in the methods shown in fig. 2 to fig. 5, and the specific implementation process and technical principle of the electronic device refer to the relevant descriptions in the methods shown in fig. 2 to fig. 5, which are not described herein again.
In addition, embodiments of the present application further provide a computer-readable storage medium, in which computer-executable instructions are stored, and when at least one processor of the user equipment executes the computer-executable instructions, the user equipment performs the above-mentioned various possible methods.
Computer-readable media includes both 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. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an ASIC. Additionally, the ASIC may reside in user equipment. Of course, the processor and the storage medium may reside as discrete components in a communication device.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (13)
1. A method for calculating signal strength of a mobile network is characterized by comprising the following steps:
acquiring a plurality of measurement reports generated in a target area;
selecting an outdoor sample measurement report of which the area attribute is classified as the outdoor attribute from each measurement report, and constructing an outdoor measurement report sampling point fingerprint database by using the outdoor sample measurement report;
comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint database, and determining the region attribute classification of the other measurement reports; wherein the other measurement reports refer to measurement reports except for the outdoor sample measurement report in all the measurement reports;
and classifying according to the signal power data of each measurement report in the target area and the corresponding area attribute, and calculating the network signal strength of the target area.
2. The computing method of claim 1, wherein the measurement report includes signal power data, latitude and longitude data, and a session identification;
correspondingly, the selecting an outdoor sample measurement report with the area attribute classified as the outdoor attribute from the measurement reports includes:
determining the moving speed of a terminal to which the measurement report belongs according to the session identification and the longitude and latitude data of the measurement report, and selecting a first outdoor sample measurement report of which the area attribute is classified as the outdoor attribute from each measurement report;
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 of which the region attribute is classified as the outdoor attribute from the residual measurement reports; wherein, the remaining measurement reports refer to measurement reports except the 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.
3. The method according to claim 2, wherein the determining the moving speed of the terminal to which the measurement report belongs according to the session identifier, the latitude and longitude data of the measurement report, and selecting the first outdoor sample measurement report with the area attribute classified as the outdoor attribute from each measurement report comprises:
clustering the 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 to which each measurement report set belongs by utilizing 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, taking the measurement report in the measurement report set corresponding to the terminal as a first outdoor sample measurement report of which the area attribute is classified as the outdoor attribute.
4. The method according to claim 3, wherein the determining a propagation loss difference value of each of the remaining measurement reports according to the signal power data of each of the remaining measurement reports, and selecting a second outdoor sample measurement report with the region attribute classified as the 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 theoretical propagation loss corresponding to 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 of each residual measurement report;
and if the propagation loss difference is smaller than a preset loss difference threshold, taking the measurement report corresponding to the propagation loss difference as a second outdoor sample measurement report of which the region attribute is classified as the outdoor attribute.
5. The computing method of claim 2, wherein constructing a fingerprint library of outdoor measurement report sample points using the outdoor sample measurement report comprises:
performing grid division on a target area according to a preset grid size to obtain at least one grid area;
clustering each outdoor sample measurement report based on a geographical area by utilizing longitude and latitude data of the outdoor sample measurement report;
establishing a geographical corresponding relation between each cluster and each grid region;
and constructing an outdoor measurement report sampling point fingerprint database according to the outdoor sample measurement report corresponding to each grid region.
6. The computing method of claim 2, wherein the measurement report further comprises a cell identification code;
correspondingly, the comparing and analyzing of 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:
determining whether the area attribute classification of each other measurement report is an indoor attribute according to the signal power data and the cell identification code of the other measurement report;
and classifying the area attribute of the measurement report which is not the indoor attribute in other measurement reports, and performing discrimination processing on the measurement report which is not the indoor attribute in the sampling point fingerprint database of the outdoor measurement report so as to determine the area attribute classification of the measurement report which is not the indoor attribute in other measurement reports.
7. The method according to claim 6, wherein said determining whether the area attribute of each of the other measurement reports is classified as an indoor attribute according to the signal power data of the other measurement reports and the 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 a preset judgment condition, classifying the area attribute of the measurement report corresponding to the cell into an indoor attribute, wherein the preset judgment condition is set according to a preset signal power threshold and the generation time of the measurement report.
8. The computing method according to claim 7, wherein the discriminating processing of the measurement report with the region attribute classified as not being the indoor attribute in each other measurement report with each outdoor sampled measurement report in the outdoor measurement report sampling point fingerprint database to determine the region attribute classification of the measurement report with the region attribute classified as not being the indoor attribute in each other measurement report comprises:
acquiring a specific number of signal power data from each grid region of the outdoor measurement report sampling point fingerprint database, and calculating an average value of the specific number of signal power data of each grid region as an outdoor attribute judgment threshold of each grid region;
according to longitude and latitude data of measurement reports of which the regional attributes are classified as not indoor attributes in other measurement reports, determining the geographic corresponding relation between the measurement reports of which the regional attributes are classified as not indoor attributes and each grid region;
comparing the signal power data of the measurement report for which the zone attribute corresponding to each grid zone is classified as not being an indoor attribute with the outdoor data decision threshold;
classifying the measurement report region attribute as an outdoor attribute if the signal power data of the measurement report of which the region attribute corresponding to each grid region is classified as not an indoor attribute is greater than or equal to the outdoor data judgment threshold;
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.
9. The computing method of claim 8, wherein the network signal strength of the target area comprises a grid area indoor signal strength and a grid area outdoor signal strength;
correspondingly, the classifying according to the signal power data of each measurement report in the target area and the corresponding area attribute and calculating the network signal strength of the target area includes:
acquiring signal power data of a measurement report of which the region attribute corresponding to each grid region is classified as an indoor attribute, and counting the number of all indoor signal power data corresponding to each grid region;
comparing signal power data of a measurement report, which classifies the region attribute as an indoor attribute, with a preset high-strength indoor signal threshold, taking the signal power data which is greater than or equal to the preset high-strength indoor signal threshold as high-strength indoor signal data, and counting the number of the high-strength indoor signal data;
and calculating the ratio of the number of high-strength indoor signal data in each grid area to the number of all indoor signal power data to obtain the indoor signal strength of the grid area.
10. The method of claim 9, wherein 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 further comprises:
acquiring signal power data of a measurement report of which the region attribute corresponding to each grid region is classified as an outdoor attribute, and counting the number of all outdoor signal power data corresponding to each grid region;
comparing signal power data of a measurement report, which classifies the region attribute as an outdoor attribute, with a preset high-strength outdoor signal threshold, taking the signal power data which is greater than or equal to the preset high-strength outdoor signal threshold as high-strength outdoor signal data, and counting the number of the high-strength outdoor signal data;
and calculating the ratio of the number of the high-strength outdoor signal data in each grid area to the number of all outdoor signal power data to obtain the outdoor signal strength of the grid area.
11. An apparatus for calculating signal strength of a mobile network, 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 a target area;
the construction module is used for selecting outdoor sample measurement reports of which the area attributes are classified as outdoor attributes from the measurement reports, and constructing an outdoor measurement report sampling point fingerprint database by using the outdoor sample measurement reports;
the analysis module is used for comparing and analyzing other measurement reports by using the outdoor measurement report sampling point fingerprint database and determining the region attribute classification of the other measurement reports;
and the calculation module is used for classifying according to the signal power data of each measurement report in the target area and the corresponding area attribute and calculating the network signal strength of the target area.
12. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the computing method of any of claims 1-10.
13. A computer-readable storage medium having computer-executable instructions stored thereon which, when executed by a processor, implement the computing method of any one of claims 1-10.
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