CN113873431A

CN113873431A - Building network quality presentation method and device

Info

Publication number: CN113873431A
Application number: CN202010611328.2A
Authority: CN
Inventors: 施兆阳; 袁振宇; 陈灿; 刘通
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2020-06-30
Filing date: 2020-06-30
Publication date: 2021-12-31
Anticipated expiration: 2040-06-30
Also published as: CN113873431B

Abstract

The disclosure provides a building network quality presentation method and device. The building network quality presentation device acquires signal quality recording data of the mobile terminal, wherein the mobile terminal number is backfilled when the recording data does not include the mobile terminal number; generating a building fingerprint positioning library, wherein the building fingerprint positioning library comprises a mobile terminal number, a mobile terminal resident base station sector and an incidence relation of a building room; associating the recorded data with a building fingerprint location library to determine a building room number corresponding to the recorded data; counting the recorded information corresponding to the same building room number to obtain the corresponding building room network quality; the network quality of each building room on the same building floor is counted to obtain the corresponding building floor network quality; generating a building three-dimensional model by using a preset address library and a GIS map; and rendering the building three-dimensional model by using the network quality of each building floor so as to show the building network quality.

Description

Building network quality presentation method and device

Technical Field

The present disclosure relates to the field of communications, and in particular, to a method and an apparatus for presenting building network quality.

Background

The mobile network is built for many years, and the overall coverage is improved day by day. In the related art, the evaluation means for evaluating the network quality in the building and the room mainly includes:

1. manual CQT (Call Quality Test) Test: and manually using a signal testing tool to test the signal coverage condition of the mobile phone in the building on the spot. The method has the advantages of high precision and room level.

2. Simulation and prediction: and simulating the signal coverage condition of the indoor mobile phone based on the wireless signal propagation model and the high-precision three-dimensional electronic map. The method has the advantages of simplicity, convenience and rapidness, and the precision can reach the level of a building.

3. Indoor coverage quality calculated based on the propagation model: building a building signal penetration loss empirical model, and calculating the indoor mobile phone signal coverage condition according to the empirical loss model on the basis of outdoor MR (Measurement Report) signal coverage data. The method has the advantages of simplicity, convenience and rapidness, and the precision is building level.

4. Indoor coverage quality assessment based on user behavior: analyzing the movement track and the business behavior of the user, dividing the MR into an indoor part and an outdoor part, positioning the position, attributing the indoor MR to a building at the position, and calculating the signal coverage condition of the indoor mobile phone. The method has the advantages of simplicity, low requirement on the map and building-level precision.

5. Indoor coverage quality assessment based on signal characteristics: and establishing an indoor fingerprint positioning algorithm based on indoor signal characteristics, carrying out indoor screening and positioning on the MR, attributing the indoor MR to the building at the position, and calculating the signal coverage condition of the indoor mobile phone. The method has the advantages of simplicity, low requirement on the map and building-level precision.

6. Indoor coverage quality assessment based on characteristic fingerprints: sampling and testing signal coverage in a building, establishing an indoor MR signal fingerprint library, carrying out fingerprint positioning on the MR, attributing the matched MR to the building at the position, and calculating the signal coverage condition of the indoor mobile phone. The advantage of this way is that the precision is higher, and the precision is building level.

Disclosure of Invention

The inventor finds out through research that the related technology has corresponding defects. In the above-mentioned correlation technique of 1 st, manual measurement work load is big, and efficiency of software testing is lower, and data timeliness is poor, and some building get into the difficulty simultaneously, can't gather data. In the above-mentioned related art 2, the correlation between the simulation result and the model selection and the parameter calibration is large, the requirement on the electronic map is high, a three-dimensional electronic map with an accuracy of 5 meters is generally required, and the cost is high. In the above-described related art 3, it is necessary to estimate the indoor coverage based on an empirical model, and the granularity of the empirical value is large, and cannot be further distinguished in the same type of area, and the accuracy is low. In the above-mentioned 4 th related art, because the MR indoor and outdoor discrimination algorithm has an error, the MR screening precision is not high, which results in that the precision of the indoor positioning algorithm is not high and the calculation result is not accurate. In the above-mentioned related art of the 5 th aspect, since there is an error in the fingerprint location algorithm based on the indoor signal characteristics, the MR screening accuracy is not high, and therefore it is not accurate to a specific room. In the above 6 th related technology, manual sampling and testing are required to establish a fingerprint library, which is high in workload, is only suitable for indoor mobile phone signal detection of some important buildings, is not suitable for large-scale popularization, and is difficult to be accurate to a specific room.

Accordingly, the present disclosure provides a building network quality presentation scheme that can accurately implement room-level network quality presentation.

According to a first aspect of the embodiments of the present disclosure, there is provided a method for presenting building network quality, including: acquiring signal quality recording data of the mobile terminal, wherein the mobile terminal number is backfilled when the recording data does not comprise the mobile terminal number; generating a building fingerprint positioning library, wherein the building fingerprint positioning library comprises a mobile terminal number, a mobile terminal resident base station sector and an incidence relation of a building room; associating the recorded data with a building fingerprint location library to determine a building room number corresponding to the recorded data; counting the recorded information corresponding to the same building room number to obtain the corresponding building room network quality; the network quality of each building room on the same building floor is counted to obtain the corresponding building floor network quality; generating a building three-dimensional model by using a preset address library and a Geographic Information System (GIS) map; and rendering the building three-dimensional model by using the network quality of each building floor so as to show the building network quality.

In some embodiments, the logging data comprises at least one of a measurement report MR, a call detail record CDR, or a key quality indicator KQI; in the case that the recorded data comprises an MR, backfilling the mobile terminal number by associating S1-MME signaling message or MME core network mobility management log file extracted by Deep Packet Inspection (DPI) with S1APID, base station cell identification and time information in the MR; in the case where the logging data includes a CDR, the mobile terminal number is backfilled by associating with the S1-MME signaling message extracted by the DPI or the MME core network mobility management log file with the M-TMSI, base station cell identification, and time information in the CDR.

In some embodiments, generating the building fingerprinting location library comprises: acquiring a wired broadband account number associated with a mobile terminal number; determining a building room number associated with the number of the mobile terminal by using a broadband installed address corresponding to the wired broadband account; detecting a resident base station sector associated with a mobile terminal number; under the condition that the distance between the resident base station sector and the broadband installed address is within a preset threshold, determining that the resident base station sector is associated with the broadband installed address; and establishing an incidence relation among the mobile terminal number, the resident base station sector and the corresponding building room number so as to establish a building fingerprint positioning library.

In some embodiments, obtaining the wired broadband account number associated with the mobile terminal number comprises: acquiring a social network identification associated with a mobile terminal number; obtaining a wired broadband account associated with the social network identifier; utilizing the social network identification, determining a wired broadband account associated with the social network identification.

In some embodiments, generating a three-dimensional stereo model of the building using the preset address library and the Geographic Information System (GIS) map comprises: acquiring the name, the center longitude and latitude and the floor number information of a building from a preset address library; acquiring building outer contour information matched with a building from a GIS map; determining the height of the building by using the floor number of the building; and generating a building three-dimensional model by using the names, the longitude and latitude of the center, the number of layers and the height of the building and the matched building outline information.

In some embodiments, obtaining building outline information matching the building from the GIS map comprises: in the same grid range, matching building name keywords acquired from a preset address library with building names in a GIS map, and acquiring outline information of matched buildings from the GIS map under the condition of successful matching; if the matching is unsuccessful, projecting the central longitude and latitude of the building obtained from the preset address library into a GIS map, and if the projection of the central longitude and latitude in the GIS map falls into a building outer contour range, extracting the building outer contour information; and if the projection of the center longitude and latitude in the GIS map does not fall into any building outer contour range, selecting a building outer contour with the shortest distance from the center longitude and latitude in the GIS map, and providing the building outer contour information.

In some embodiments, network quality of floors located on the same building are counted to obtain corresponding building network signal quality.

In some embodiments, the three-dimensional building model is converted into a two-dimensional building model at an overhead angle according to the received switching instruction; and rendering the building two-dimensional model by using the building network quality so as to present the building network quality.

According to a second aspect of the embodiments of the present disclosure, there is provided a building network quality presenting device, including: the information acquisition module is configured to acquire mobile terminal signal quality recording data, wherein the mobile terminal number is backfilled when the recording data does not include the mobile terminal number; the positioning library generating module is configured to generate a building fingerprint positioning library, wherein the building fingerprint positioning library comprises a mobile terminal number, a mobile terminal resident base station sector and an incidence relation of a building room; an association module configured to associate the recorded data with a building fingerprint locator to determine a building room number corresponding to the recorded data; the statistical module is configured to perform statistics on the recorded information corresponding to the same building room number to obtain the corresponding building room network quality; the network quality of each building room on the same building floor is counted to obtain the corresponding building floor network quality; the model generation module is configured to generate a building three-dimensional stereo model by utilizing a preset address library and a Geographic Information System (GIS) map; and the rendering module is configured to render the building three-dimensional stereo model by utilizing the network quality of each building floor so as to present the building network quality.

In some embodiments, the logging data comprises at least one of a measurement report MR, a call detail record CDR, or a key quality indicator KQI; the information acquisition module is configured to, in the case that the recorded data includes an MR, backfill the mobile terminal number by associating S1-MME signaling messages or MME core network mobility management log files extracted by Deep Packet Inspection (DPI) with S1APID, base station cell identification and time information in the MR; in the case where the logging data includes a CDR, the mobile terminal number is backfilled by associating with the S1-MME signaling message extracted by the DPI or the MME core network mobility management log file with the M-TMSI, base station cell identification, and time information in the CDR.

In some embodiments, the location repository generation module is configured to obtain a wired broadband account number associated with the mobile terminal number, determine a building room number associated with the mobile terminal number using a broadband installed address corresponding to the wired broadband account number, detect a resident base station sector associated with the mobile terminal number, confirm that the resident base station sector is associated with the broadband installed address if a distance between the resident base station sector and the broadband installed address is within a preset threshold, and establish an association relationship between the mobile terminal number, the resident base station sector and the corresponding building room number to establish the building fingerprint location repository.

In some embodiments, the location repository generation module is configured to obtain a social network identification associated with the mobile terminal number, obtain a wired broadband account associated with the social network identification, and determine, using the social network identification, the wired broadband account associated with the social network identification.

In some embodiments, the model generation module is configured to acquire names, central longitude and latitude and floor number information of the buildings from a preset address library, acquire building outline information matched with the buildings from a GIS map, determine heights of the buildings by using the floor numbers of the buildings, and generate a three-dimensional building model by using the names, the central longitude and latitude, the floor numbers, the heights and the matched building outline information of the buildings.

In some embodiments, the model generation module is configured to match building name keywords acquired from the preset address library with building names in a GIS map within the same grid range, and acquire outer contour information of matched buildings from the GIS map if matching is successful; if the matching is unsuccessful, projecting the central longitude and latitude of the building obtained from the preset address library into a GIS map, and if the projection of the central longitude and latitude in the GIS map falls into a building outer contour range, extracting the building outer contour information; and if the projection of the center longitude and latitude in the GIS map does not fall into any building outer contour range, selecting a building outer contour with the shortest distance from the center longitude and latitude in the GIS map, and providing the building outer contour information.

In some embodiments, the statistical module is further configured to perform statistics on network quality of floors located on the same building to obtain a corresponding building network signal quality.

In some embodiments, the model generation module is further configured to convert the building three-dimensional stereo model into the building two-dimensional model at an overhead angle according to the received switching instruction; the rendering module is further configured to render the building two-dimensional model with the building network quality to present the building network quality.

According to a third aspect of the embodiments of the present disclosure, there is provided a building network quality presenting device, including: a memory configured to store instructions; a processor coupled to the memory, the processor configured to perform a method implementing any of the embodiments described above based on instructions stored by the memory.

According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, in which computer instructions are stored, and when executed by a processor, the computer-readable storage medium implements the method according to any of the embodiments described above.

Other features of the present disclosure and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description, serve to explain the principles of the disclosure.

The present disclosure may be more clearly understood from the following detailed description, taken with reference to the accompanying drawings, in which:

FIG. 1 is a flow diagram of a building network quality presentation method according to one embodiment of the present disclosure;

FIG. 2 is a schematic diagram of a building network quality three-dimensional rendering effect according to one embodiment of the present disclosure;

FIG. 3 is a schematic diagram of a building network quality two-dimensional rendering effect according to one embodiment of the present disclosure;

FIG. 4 is a schematic structural diagram of a building network quality presentation device according to one embodiment of the present disclosure;

fig. 5 is a schematic structural diagram of a building network quality presentation device according to another embodiment of the disclosure.

It should be understood that the dimensions of the various parts shown in the figures are not drawn to scale. Further, the same or similar reference numerals denote the same or similar components.

Detailed Description

Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. The description of the exemplary embodiments is merely illustrative and is in no way intended to limit the disclosure, its application, or uses. The present disclosure may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. It should be noted that: the relative arrangement of parts and steps, the composition of materials and values set forth in these embodiments are to be construed as illustrative only and not as limiting unless otherwise specifically stated.

The use of the word "comprising" or "comprises" and the like in this disclosure means that the elements listed before the word encompass the elements listed after the word and do not exclude the possibility that other elements may also be encompassed.

All terms (including technical or scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs unless specifically defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.

Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.

FIG. 1 is a flow diagram of a building network quality presentation method according to one embodiment of the present disclosure. In some embodiments, the following building network quality presentation method steps are performed by a building network quality presentation device.

In step 101, mobile terminal signal quality record data is obtained, wherein the mobile terminal number is backfilled when the mobile terminal number is not included in the record data.

In some embodiments, the Mobile terminal Number is an MSISDN (Mobile Station ISDN Number).

In some embodiments, the Record data includes at least one of MR, CDR (Call Detail Record), or KQI (Key Quality Indicator). MR, CDR, and KQI data have coverage, performance, and perception related fields.

It should be noted that the KQI data is based on DPI (Deep Packet Inspection) data statistics, and the DPI data includes a mobile terminal number, so the KQI data also includes the mobile terminal number. The mobile terminal number is not included in the MR and CDR, so the mobile terminal number needs to be backfilled.

In the case that the recorded data is an MR, associating the triplet (S1APID, base station cell identity and time information) in the MR with the S1-MME signaling message or MME core network mobility management log file extracted by the DPI so as to backfill the mobile terminal number in the DPI data into the MR.

And in the case that the recorded data is the CDR, associating the triplets (M-TMSI, base station cell identification and time information) in the CDR with the S1-MME signaling message extracted by the DPI or an MME core network mobility management log file so as to backfill the mobile terminal number in the DPI data into the CDR.

In step 102, a building fingerprint location library is generated, wherein the building fingerprint location library comprises the association relationship among the mobile terminal number, the mobile terminal resident base station sector and the building room.

In some embodiments, in generating the building fingerprint location library, the following steps may be taken:

(1) and acquiring the wired broadband account number associated with the number of the mobile terminal.

For example, by using mobile network DPI service data, a social network identifier associated with a mobile terminal number is obtained. For example, the social network identification is a WeChat identification. Next, using fixed network DPI service data, a wired broadband account associated with the social network identifier is obtained. Thereby utilizing the social network identification to determine the wired broadband account associated with the social network identification.

(2) And determining the building room number associated with the mobile terminal number by using the broadband installed address corresponding to the wired broadband account number.

Because the wired broadband installed address adopts the standard address library identification, the room number can be specified. Therefore, the corresponding relation between the mobile terminal number and the room number can be obtained through the corresponding relation between the mobile terminal number and the wired broadband account number.

(3) A resident base station sector associated with a mobile terminal number is detected.

In some embodiments, the first 3 base station sectors with the largest amount of signaling for users in the daytime (e.g., 6 periods in 9-12 hours, 14-17 hours) and in the evening (e.g., 6 periods in 22-4 hours) and accounting for more than 25% of the signaling are counted as the resident base station sectors in the daytime and in the evening, respectively, based on the S1-MME interface signaling collected by DPI.

(4) And confirming that the resident base station sector is associated with the broadband installed address under the condition that the distance between the resident base station sector and the broadband installed address is within a preset threshold.

By calculating the distance between the resident base station sector and the broadband installed address, if the distance is within a reasonable range (e.g., the distance is less than 1 km), the resident base station sector of the user is considered to be associated with the broadband installed address.

(5) And establishing an incidence relation among the mobile terminal number, the resident base station sector and the corresponding building room number so as to establish a building fingerprint positioning library.

For example, the building fingerprint location library is set up as shown in table 1.

Mobile phone number	Daytime resident base station sector	Night resident base station sector	Building room
				189＊＊＊＊＊＊＊＊	41662-50/…/…	……	Cell A and cell B601
……	……	……	……

TABLE 1

At step 103, the recorded data is associated with a building fingerprint locator library to determine a building room number corresponding to the recorded data.

In some embodiments, MR, CDR or KQI data localization to a building room is achieved by correlating triplets (mobile terminal number, resident base station sector identification, time) in the building fingerprint localization library with corresponding fields in the MR, CDR or KQI data to backfill building room information in the building fingerprint localization library into the MR, CDR or KQI data.

At step 104, statistics are performed on the recorded information corresponding to the same building room number to obtain the corresponding building room network quality.

In step 105, network quality of each building room on the same building floor is counted to obtain corresponding building floor network quality.

In step 106, a three-dimensional building model is generated by using a preset address library and a GIS (Geographic Information System) map.

In some embodiments, the name, the central longitude and latitude and the floor number information of the building are obtained from a preset address library, the building outline information matched with the building is obtained from a GIS map,

for example, obtaining building outline information matched with a building from a GIS map includes:

1) and in the same grid range, matching the building name keywords acquired from the preset address library with the building names in the GIS map, and acquiring the outline information of the matched buildings from the GIS map under the condition of successful matching.

For example, if a building named 18 Anjuyuan village exists in the same grid of the GIS map, the two buildings are considered to be matched, and the outer contour information of the building named 18 Anjuyuan village is extracted from the GIS map.

2) And if the matching is unsuccessful, projecting the central longitude and latitude of the building obtained from the preset address library into a GIS map, and if the projection of the central longitude and latitude in the GIS map falls into a building outline range, extracting the building outline information.

For example, if no building name matched with the 18 th village in the Asun West village exists in the same grid of the GIS map, the central longitude and latitude of the 18 th village in the Asun West village are projected into the GIS map, if the projection of the central longitude and latitude in the GIS map falls within a certain building outline range, the situation that the 18 th village in the Asun West village is matched with the building is indicated, and the outline information of the building is extracted from the GIS map.

3) And if the projection of the center longitude and latitude in the GIS map does not fall into any building outer contour range, selecting a building outer contour with the shortest distance from the center longitude and latitude in the GIS map, and providing the building outer contour information.

For example, if the projection of the center longitude and latitude of the peaceful park village 18 in the GIS map does not fall within the outer contour range of any building, the minimum distance from the center longitude and latitude of the peaceful park village 18 to all building outer contour surfaces within a nearby predetermined range is calculated, and the building outer contour information with the minimum distance is extracted.

Next, the height of the building is determined using the floor number of the building. For example, the story height of a building may be taken to be 3 meters based on empirical values. And then, generating a building three-dimensional model by using the names, the central longitude and latitude, the number of layers and the height of the buildings and the matched building outline information.

In step 107, the building three-dimensional stereo model is rendered with the network quality of each building floor to present the building network quality.

For example, a building has 6 floors with 7 rooms per floor, as shown in Table 2.

TABLE 2

As shown in table 2, the mobile terminal signal quality of each room is classified into good, medium and bad.

In layer 1, the mass of the 101 and 107 chambers was medium, the mass of the 103 and 106 chambers was poor, and no mass data was obtained in the other chambers. In this case, the quality of the 1 st layer is set to be poor.

In layer 2, the mass of 203 and 206 rooms is medium, and no mass data is obtained in the other rooms. In this case, the quality of the 2 nd layer is set to be medium.

In layer 3, the quality of layer 3 is not determined since the mobile terminal signal quality for either room is not obtained.

In layer 4, the mass of 203 and 206 rooms was medium, and no mass data was obtained in the other rooms. In this case, the quality of the 4 th layer is set to medium.

In layer 5, 505 the quality of room is medium and no quality data is obtained for other rooms. In this case, the quality of the 5 th layer is set to medium.

In layer 6, the quality of room 601 is medium, the quality of room 605 is good, and no quality data is obtained in other rooms. In this case, the quality of the 5 th layer is set to be good.

After the network quality of the building floors is counted, building three-dimensional models are built, and then the network quality of each building floor is utilized to render the building three-dimensional models so as to present the building network quality. The rendering results are shown in fig. 2.

In the three-dimensional stereo model of the building shown in fig. 2, the signal quality of layer 1 is poor, and thus layer 1 is rendered as a gray scale or color associated with "poor". The signal quality of

layers

2, 4, 5 is medium, so layers 2, 4, 5 are rendered to the gray scale or color associated with "medium". The signal quality of layer 6 is good, so layer 6 is rendered to a gray scale or color associated with "good". Layer 3 is not rendered since layer 3 does not have corresponding signal quality data.

In some embodiments, the three-dimensional building model may be further converted into a two-dimensional building model at an overhead angle according to the received switching instruction. And rendering the building two-dimensional model by using the building network quality so as to present the building network quality. As shown in fig. 3. Therefore, the switching between the building two-dimensional model and the building three-dimensional model can be realized according to the requirements of users.

As shown in fig. 3, a two-dimensional model of buildings in the corresponding cell is presented. And counting the network quality of each floor on the same building to obtain the corresponding building network signal quality. And rendering the building two-dimensional model by using the building network quality so as to present the building network quality. In fig. 3, building 1 in a cell has poor network quality, and therefore building 1 is rendered as a grayscale or color associated with "poor". The network quality of

building

2, 4, and 5 is medium, so

building

2, 4, and 5 are rendered to the gray scale or color associated with "medium". Floor 3 and floor 6 have good network quality, so floor 3 and floor 6 are rendered to a gray scale or color associated with "good".

The building three-dimensional model or the building two-dimensional model is rendered by utilizing the network quality, so that a user can directly know the network quality condition of the corresponding building or the corresponding floor according to the rendering color or the gray level of the floor or the building, and the user experience is effectively improved.

In some embodiments, in the case of presenting a rendered three-dimensional model of the building or a two-dimensional model of the building, the operational information and operational status of the resident base station sectors of the building perimeter area may be further presented. The association relationship among the mobile terminal number, the resident base station sector and the corresponding building room number is included in the building fingerprint positioning library. Thus, when a room or rooms are found to have poor network quality, it can be directly queried whether the resident base station sectors associated with those room numbers are operating properly. Therefore, the quick tracing of the quality difference reasons can be realized.

In some embodiments, data statistics may also be made for network quality of the target building, target floor, or target room. The BOLL line can also be used for analyzing index mutation conditions, for example, by using a K-line graph to show the network quality multi-dimensional index historical trend of a target building, a target floor or a target room.

Fig. 4 is a schematic structural diagram of a building network quality presentation device according to one embodiment of the present disclosure. As shown in fig. 4, the building network quality presenting apparatus includes an information obtaining module 41, a positioning library generating module 42, an associating module 43, a statistics module 44, a model generating module 45, and a rendering module 46.

The information acquisition module 41 is configured to acquire mobile terminal signal quality log data, wherein the mobile terminal number is backfilled when the mobile terminal number is not included in the log data.

In some embodiments, the mobile terminal number is an MSISDN.

In some embodiments, the recorded data includes at least one of MR, CDR, or KQI. MR, CDR, and KQI data have coverage, performance, and perception related fields.

Here, the KQI data is based on DPI data statistics, and the DPI data includes a mobile terminal number, so the KQI data also includes the mobile terminal number. The mobile terminal number is not included in the MR and CDR, so the mobile terminal number needs to be backfilled.

In some embodiments, the information acquisition module 41 is configured to backfill the mobile terminal number by associating with the S1-MME signaling message extracted by deep packet inspection, DPI, or the MME core network mobility management log file, using the S1APID, base station cell identification, and time information in the MR, if the logging data comprises the MR. In the case where the log data includes a CDR, the information acquisition module 41 backfills the mobile terminal number by associating with the S1-MME signaling message extracted by the DPI or the MME core network mobility management log file with the M-TMSI, the base station cell identity, and the time information in the CDR.

The location repository generation module 42 is configured to generate a building fingerprint location repository, wherein the building fingerprint location repository includes an association of mobile terminal numbers, mobile terminal resident base station sectors, and building rooms.

In some embodiments, the location repository generation module 42 is configured to obtain a wired broadband account number associated with the mobile terminal number, determine a building room number associated with the mobile terminal number using a broadband installed address corresponding to the wired broadband account number, detect a resident base station sector associated with the mobile terminal number, confirm that the resident base station sector is associated with the broadband installed address if a distance between the resident base station sector and the broadband installed address is within a preset threshold, and establish an association relationship between the mobile terminal number, the resident base station sector and the corresponding building room number to establish the building fingerprint location repository.

For example, the location library generation module 42 obtains the social network identifier associated with the mobile terminal number by using the mobile network DPI service data. For example, the social network identification is a WeChat identification. Next, using fixed network DPI service data, a wired broadband account associated with the social network identifier is obtained. Thereby utilizing the social network identification to determine the wired broadband account associated with the social network identification.

The association module 43 is configured to associate the recorded data with the building fingerprint locator library to determine a building room number corresponding to the recorded data.

The statistical module 44 is configured to perform statistics on the recorded information corresponding to the same building room number to obtain a corresponding building room network quality; and counting the network quality of each building room on the same building floor to obtain the corresponding building floor network quality.

The model generation module 45 is configured to generate a three-dimensional stereo model of the building using a preset address library and a Geographic Information System (GIS) map.

In some embodiments, the model generating module 45 is configured to obtain the name, the center longitude and latitude, and the floor number information of the building from the preset address library, obtain the building outline information matched with the building from the GIS map, determine the height of the building by using the floor number of the building, and generate the three-dimensional stereo model of the building by using the name, the center longitude and latitude, the floor number, the height, and the matched building outline information of the building.

For example, the model generation module 45 matches the building name keyword obtained from the preset address library with the building name in the GIS map in the same grid range, and obtains the outer contour information of the matched building from the GIS map if the matching is successful; if the matching is unsuccessful, projecting the central longitude and latitude of the building obtained from the preset address library into a GIS map, and if the projection of the central longitude and latitude in the GIS map falls into a building outer contour range, extracting the building outer contour information; and if the projection of the center longitude and latitude in the GIS map does not fall into any building outer contour range, selecting a building outer contour with the shortest distance from the center longitude and latitude in the GIS map, and providing the building outer contour information.

The rendering module 46 is configured to render the building three-dimensional stereo model with the network quality of each building floor to present the building network quality. For example, the three-dimensional model rendering results are shown in FIG. 2.

In some embodiments, the statistics module 44 is further configured to perform statistics on network quality of floors located on the same building to obtain a corresponding building network signal quality. The model generation module 45 is further configured to convert the building three-dimensional stereo model into a building two-dimensional model at an overhead angle according to the received switching instruction. The rendering module 46 is further configured to render the building two-dimensional model with the building network quality to render the building network quality. For example, the two-dimensional model rendering results are shown in FIG. 3.

Fig. 5 is a schematic structural diagram of a building network quality presentation device according to another embodiment of the disclosure. As shown in fig. 5, the building network quality presentation device includes a memory 51 and a processor 52.

The memory 51 is used to store instructions. The processor 52 is coupled to the memory 51. The processor 52 is configured to perform a method as referred to in any of the embodiments of fig. 1 based on the instructions stored in the memory.

As shown in fig. 5, the building network quality presentation apparatus further includes a communication interface 53 for information interaction with other devices. Meanwhile, the temperature control device further comprises a bus 54, and the processor 52, the communication interface 53 and the memory 51 are communicated with each other through the bus 54.

The Memory 51 may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM). Such as at least one disk storage. The memory 51 may also be a memory array. The storage 51 may also be partitioned and the blocks may be combined into virtual volumes according to certain rules.

Further, the processor 52 may be a central processing unit, or may be an ASIC (Application Specific Integrated Circuit), or one or more Integrated circuits configured to implement embodiments of the present disclosure.

The present disclosure also provides a computer-readable storage medium. The computer-readable storage medium stores computer instructions, and the instructions, when executed by the processor, implement the method according to any one of the embodiments in fig. 1.

Based on a big data platform architecture, the scheme of the embodiment of the disclosure is integrated into a building indoor network quality monitoring platform of a wireless big data application platform of China telecom Anhui corporation, and 3D visual monitoring and coverage problem diagnosis of 80 ten thousand buildings and 200 ten thousand rooms in the whole province are realized. Is already on line and popularized and applied in the whole province.

In some embodiments, the functional modules may be implemented as a general purpose Processor, a Programmable Logic Controller (PLC), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other Programmable Logic device, discrete Gate or transistor Logic, discrete hardware components, or any suitable combination thereof, for performing the functions described in this disclosure.

So far, embodiments of the present disclosure have been described in detail. Some details that are well known in the art have not been described in order to avoid obscuring the concepts of the present disclosure. It will be fully apparent to those skilled in the art from the foregoing description how to practice the presently disclosed embodiments.

Although some specific embodiments of the present disclosure have been described in detail by way of example, it should be understood by those skilled in the art that the foregoing examples are for purposes of illustration only and are not intended to limit the scope of the present disclosure. It will be understood by those skilled in the art that various changes may be made in the above embodiments or equivalents may be substituted for elements thereof without departing from the scope and spirit of the present disclosure. The scope of the present disclosure is defined by the appended claims.

Claims

1. A building network quality presentation method comprises the following steps:

acquiring signal quality recording data of the mobile terminal, wherein the mobile terminal number is backfilled when the recording data does not comprise the mobile terminal number;

generating a building fingerprint positioning library, wherein the building fingerprint positioning library comprises a mobile terminal number, a mobile terminal resident base station sector and an incidence relation of a building room;

associating the recorded data with a building fingerprint location library to determine a building room number corresponding to the recorded data;

counting the recorded information corresponding to the same building room number to obtain the corresponding building room network quality;

the network quality of each building room on the same building floor is counted to obtain the corresponding building floor network quality;

generating a building three-dimensional model by using a preset address library and a Geographic Information System (GIS) map;

and rendering the building three-dimensional model by using the network quality of each building floor so as to show the building network quality.

2. The method of claim 1, wherein the logging data comprises at least one of a measurement report, MR, a call detail record, CDR, or a key quality indicator, KQI;

in the case that the recorded data comprises an MR, backfilling the mobile terminal number by associating S1-MME signaling message or MME core network mobility management log file extracted by Deep Packet Inspection (DPI) with S1APID, base station cell identification and time information in the MR;

in the case where the logging data includes a CDR, the mobile terminal number is backfilled by associating with the S1-MME signaling message extracted by the DPI or the MME core network mobility management log file with the M-TMSI, base station cell identification, and time information in the CDR.

3. The method of claim 1, wherein generating a building fingerprinting location library comprises:

acquiring a wired broadband account number associated with a mobile terminal number;

determining a building room number associated with the number of the mobile terminal by using a broadband installed address corresponding to the wired broadband account;

detecting a resident base station sector associated with a mobile terminal number;

under the condition that the distance between the resident base station sector and the broadband installed address is within a preset threshold, determining that the resident base station sector is associated with the broadband installed address;

and establishing an incidence relation among the mobile terminal number, the resident base station sector and the corresponding building room number so as to establish a building fingerprint positioning library.

4. The method of claim 3, wherein obtaining the wired broadband account number associated with the mobile terminal number comprises:

acquiring a social network identification associated with a mobile terminal number;

obtaining a wired broadband account associated with the social network identifier;

utilizing the social network identification, determining a wired broadband account associated with the social network identification.

5. The method of any one of claims 1-4, wherein generating the building three-dimensional stereo model using the preset address library and the Geographic Information System (GIS) map comprises:

acquiring the name, the center longitude and latitude and the floor number information of a building from a preset address library;

acquiring building outer contour information matched with a building from a GIS map;

determining the height of the building by using the floor number of the building;

and generating a building three-dimensional model by using the names, the longitude and latitude of the center, the number of layers and the height of the building and the matched building outline information.

6. The method of claim 5, wherein obtaining building outline information from the GIS map that matches the building comprises:

in the same grid range, matching building name keywords acquired from a preset address library with building names in a GIS map, and acquiring outline information of matched buildings from the GIS map under the condition of successful matching;

if the matching is unsuccessful, projecting the central longitude and latitude of the building obtained from the preset address library into a GIS map, and if the projection of the central longitude and latitude in the GIS map falls into a building outer contour range, extracting the building outer contour information;

and if the projection of the center longitude and latitude in the GIS map does not fall into any building outer contour range, selecting a building outer contour with the shortest distance from the center longitude and latitude in the GIS map, and providing the building outer contour information.

7. The method of claim 1, further comprising:

and counting the network quality of each floor on the same building to obtain the corresponding building network signal quality.

8. The method of claim 7, further comprising:

converting the building three-dimensional model into a building two-dimensional model under an overlooking angle according to the received switching instruction;

and rendering the building two-dimensional model by using the building network quality so as to present the building network quality.

9. A building network quality presentation device, comprising:

the information acquisition module is configured to acquire mobile terminal signal quality recording data, wherein the mobile terminal number is backfilled when the recording data does not include the mobile terminal number;

the positioning library generating module is configured to generate a building fingerprint positioning library, wherein the building fingerprint positioning library comprises a mobile terminal number, a mobile terminal resident base station sector and an incidence relation of a building room;

an association module configured to associate the recorded data with a building fingerprint locator to determine a building room number corresponding to the recorded data;

the statistical module is configured to perform statistics on the recorded information corresponding to the same building room number to obtain the corresponding building room network quality; the network quality of each building room on the same building floor is counted to obtain the corresponding building floor network quality;

the model generation module is configured to generate a building three-dimensional stereo model by utilizing a preset address library and a Geographic Information System (GIS) map;

and the rendering module is configured to render the building three-dimensional stereo model by utilizing the network quality of each building floor so as to present the building network quality.

10. The apparatus of claim 9, wherein the logging data comprises at least one of a measurement report, MR, a call detail record, CDR, or a key quality indicator, KQI;

the information acquisition module is configured to, in the case that the recorded data includes an MR, backfill the mobile terminal number by associating S1-MME signaling messages or MME core network mobility management log files extracted by Deep Packet Inspection (DPI) with S1APID, base station cell identification and time information in the MR; in the case where the logging data includes a CDR, the mobile terminal number is backfilled by associating with the S1-MME signaling message extracted by the DPI or the MME core network mobility management log file with the M-TMSI, base station cell identification, and time information in the CDR.

11. The apparatus of claim 9, wherein,

the positioning base generation module is configured to acquire a wired broadband account number associated with a mobile terminal number, determine a building room number associated with the mobile terminal number by using a broadband installed address corresponding to the wired broadband account number, detect a resident base station sector associated with the mobile terminal number, confirm that the resident base station sector is associated with the broadband installed address under the condition that the distance between the resident base station sector and the broadband installed address is within a preset threshold, and establish an association relationship among the mobile terminal number, the resident base station sector and the corresponding building room number so as to establish a building fingerprint positioning base.

12. The apparatus of claim 11, wherein,

the location base generation module is configured to acquire a social network identifier associated with the mobile terminal number, acquire a wired broadband account associated with the social network identifier, and determine the wired broadband account associated with the social network identifier by using the social network identifier.

13. The apparatus of any one of claims 9-12,

the model generation module is configured to acquire the names, the center longitude and latitude and the floor number information of the buildings from a preset address library, acquire building outline information matched with the buildings from a GIS map, determine the heights of the buildings by using the floor numbers of the buildings, and generate a three-dimensional building model by using the names, the center longitude and latitude, the floor number, the heights and the matched building outline information of the buildings.

14. The apparatus of claim 13, wherein,

the model generation module is configured to match building name keywords acquired from a preset address library with building names in a GIS map in the same grid range, and acquire outer contour information of matched buildings from the GIS map under the condition of successful matching; if the matching is unsuccessful, projecting the central longitude and latitude of the building obtained from the preset address library into a GIS map, and if the projection of the central longitude and latitude in the GIS map falls into a building outer contour range, extracting the building outer contour information; and if the projection of the center longitude and latitude in the GIS map does not fall into any building outer contour range, selecting a building outer contour with the shortest distance from the center longitude and latitude in the GIS map, and providing the building outer contour information.

15. The apparatus of claim 9, wherein,

the statistical module is also configured to perform statistics on network quality of floors located on the same building to obtain corresponding building network signal quality.

16. The apparatus of claim 15, further comprising:

the model generation module is further configured to convert the building three-dimensional stereo model into a building two-dimensional model at an overlooking angle according to the received switching instruction;

the rendering module is further configured to render the building two-dimensional model with the building network quality to present the building network quality.

17. A building network quality presentation device, comprising:

a memory configured to store instructions;

a processor coupled to the memory, the processor configured to perform implementing the method of any of claims 1-8 based on instructions stored by the memory.

18. A computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions which, when executed by a processor, implement the method of any one of claims 1-8.