CN116866976B - Method and electronic equipment for rural area mobile network service - Google Patents
Method and electronic equipment for rural area mobile network service Download PDFInfo
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Abstract
The application provides a method and electronic equipment for rural area mobile network service, wherein the method comprises the following steps: acquiring basic measurement report MR data in a set detection period of a target rural area; determining network surface coverage according to the basic MR data; clustering the basic MR data according to a set time period to obtain a target data set, and determining network point coverage rate according to the target data set; determining a corresponding service scheme based on the network surface coverage rate and/or the network point coverage rate according to the mobile network service type aiming at the target rural area; the basic MR data are MR data which are sent by a plurality of user mobile terminals and carry the longitude and latitude information of the A-GPS; longitude and latitude information corresponding to the basic MR data is in an edge longitude and latitude range corresponding to the target rural area. According to the embodiment of the application, the service scheme making efficiency is improved, so that the network processing result meets the requirement of a user on network service.
Description
Technical Field
The present disclosure relates to the field of communications technologies, and in particular, to a method and an electronic device for mobile network service in a rural area.
Background
The macro base station is a main means of network coverage in vast rural areas, and the 5G network in rural areas is realized from nothing to nothing. With the increase of the 5G coverage area, some coverage blind spots still exist in rural areas. Thus, rural area 5G network deep coverage is an important and difficult point of 5G construction.
Currently, the 5G rural coverage blind spot judgment is mainly performed in two modes of user complaint and drive test (DRIVER TEST, DT), and call quality test (Call Quality Test, CQT) is also adopted. The rural self-built small high-rise, rural villas and rural steel-structured factory buildings are very common, and the traditional DT pull net test can not effectively evaluate rural 5G coverage blind spots. The traditional CQT mode is covered by a field manual test network, a large amount of manual work is needed to reach a coverage blind spot area for touch-row test, the mode has the defects of long period, poor timeliness, high labor cost and the like, and for residences with scattered rural areas, the single village CQT cannot truly reflect the 5G coverage condition of the whole rural areas. Therefore, the network test result of the existing test scheme for rural area network coverage has poor accuracy, so that the service scheme formulated by the network based on the test result cannot effectively meet the requirement of customers on network service.
Disclosure of Invention
The embodiment of the application provides a method, a system and electronic equipment for rural area mobile network service, which are used for solving the problems that network test results are low in accuracy and a service scheme formulated by a network based on the test results cannot effectively meet the requirements of clients on network service.
In a first aspect, an embodiment of the present application provides a method for rural area mobile network services, including:
acquiring basic measurement report (Measurement Report, MR) data in a target rural area set detection period; the basic MR data are MR data which are sent by a plurality of user mobile terminals and carry the longitude and latitude information of the A-GPS; longitude and latitude information corresponding to the basic MR data is in an edge longitude and latitude range corresponding to the target rural area;
determining network surface coverage according to the basic MR data;
clustering the basic MR data according to a set time period to obtain a target data set, and determining network point coverage rate according to the target data set;
and determining a corresponding service scheme based on the network surface coverage rate and/or the network point coverage rate according to the mobile network service business type aiming at the target rural area.
In one possible implementation, the mobile network service traffic type includes: regional network optimization services, network point network failure handling services, and network coverage assessment services.
In a possible implementation manner, the determining, according to the mobile network service type for the target rural area, a corresponding service scheme based on the network plane coverage rate and/or the network point coverage rate includes:
when the mobile network service type is regional network optimization service, determining a corresponding network optimization scheme based on the network surface coverage rate;
when the mobile network service type is network point network fault handling service, determining a corresponding fault handling scheme based on the network surface coverage rate and the network point coverage rate;
and when the mobile network service type is network coverage evaluation service, determining a corresponding evaluation result based on the network point coverage rate.
In one possible implementation manner, the determining a corresponding network optimization scheme based on the network plane coverage includes:
determining the coverage rate of the base station far-point area network of the target base station according to the coverage rate of the network surface;
When the coverage rate of the base station far-point area network meets the base station extension condition, determining an extension base station aiming at the target rural area; otherwise, determining a base station equipment optimization scheme to improve the network quality of the target rural area;
the target base station is a base station corresponding to the target rural area; the distance between the target base station and the target rural area is smaller than a preset value.
In one possible implementation, the base station extension condition includes: and the network points corresponding to the base station far-point area network coverage rate comprise network points outside the coverage threshold value of the target base station, and/or the average value of the base station far-point area network coverage rate is smaller than the area coverage rate threshold value.
In one possible implementation manner, the determining a corresponding fault handling scheme based on the network surface coverage rate and the network point coverage rate includes:
determining the base station near point average surface coverage rate and the base station far point average surface coverage rate corresponding to the target rural area according to the network surface coverage rate;
determining the base station near point average point coverage rate and the base station far point average point coverage rate corresponding to the target rural area according to the network point coverage rate;
Determining a near point attenuation value according to the near point average surface coverage rate of the base station and the near point average point coverage rate of the base station, and determining a far point attenuation value according to the far point average surface coverage rate of the base station and the far point average point coverage rate of the base station;
and determining a corresponding attenuation value according to the distance between the fault network point and the corresponding target base station, and determining a fault processing scheme corresponding to the fault network point according to the attenuation value.
In one possible implementation manner, the determining the corresponding evaluation result based on the network point coverage includes:
determining the number N of network point coverage rates greater than a set threshold value and the total number M of basic MR data in the target data set;
and determining a network coverage assessment result based on the ratio of the number N to the total number M.
In a possible implementation manner, the clustering the basic MR data according to a set period of time to obtain a target data set includes:
analyzing the basic MR data to determine a mobile phone number, and determining a broadband installation address corresponding to the mobile phone number according to the mobile phone number and a fusion broadband address library; wherein the fused broadband address library comprises: fusing the installed address of the broadband and the corresponding bound mobile phone number and the mobile phone number accessed to the wireless network;
Grouping according to the broadband installation address, the mobile phone number, MR data corresponding to the mobile phone number and the mobile network station to obtain grouping data;
determining target packet data according to the packet data, the target rural area and rural virtual call quality test CQT set; wherein the rural virtual CQT set includes: a broadband installation address corresponding to the test number; the test number is a mobile phone number in the converged broadband address library; the data amount of the target packet data is smaller than or equal to the data amount of the packet data;
obtaining mobile network depth message detection DPI information corresponding to a mobile network station in the target packet data, and determining a time period t1 of a test number accessing a mobile network station base station;
acquiring corresponding deep packet inspection DPI information of the fused broadband according to the broadband installation address in the target packet data, and determining a time period t2 of the test number accessing the corresponding fused broadband;
intersection of the time period t1 and the time period t2 is taken to obtain a time period t3;
and clustering the basic MR data according to the time period t3 to obtain a target data set.
In a second aspect, an embodiment of the present application provides an apparatus for rural area mobile network services, including:
The acquisition module is used for acquiring the MR data of the basic measurement report in the set detection period of the target rural area;
the coverage rate determining module is used for determining network surface coverage rate according to the basic MR data; clustering the basic MR data according to a set time period to obtain a target data set, and determining network point coverage rate according to the target data set;
the service scheme determining module is used for determining a corresponding service scheme based on the network surface coverage rate and/or the network point coverage rate according to the mobile network service business type aiming at the target rural area; the basic MR data are MR data which are sent by a plurality of user mobile terminals and carry the longitude and latitude information of the A-GPS; longitude and latitude information corresponding to the basic MR data is in an edge longitude and latitude range corresponding to the target rural area.
In a third aspect, embodiments of the present application provide an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to the first aspect or any one of the possible implementations of the first aspect, when the computer program is executed by the processor.
In a third aspect, embodiments of the present application provide a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method as described above in the first aspect or any one of the possible implementations of the first aspect.
The embodiment of the application provides a method, a system and electronic equipment for rural area mobile network service, which are used for acquiring basic MR data in a target rural area setting detection period, respectively determining network surface coverage rate and network point coverage rate according to the basic MR data, determining a service scheme according to the mobile network service business type aiming at the target rural area based on the network surface coverage rate and the network point coverage rate in a two-dimensional pertinence manner, solving the problems that the number of monitoring points is small and the mobile network coverage condition of the whole rural area cannot be truly reflected in the traditional CQT mode, improving the service scheme making efficiency, and enabling network processing results to meet the requirements of users on network service.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required for the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an implementation of a method for rural area mobile network services according to an embodiment of the present application;
FIG. 2 is a schematic diagram of rural, broadband installation address and 5G base station location provided in one embodiment of the present application;
fig. 3 is a schematic structural diagram of an apparatus for rural area mobile network service according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system configurations, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
The terms first, second and the like in the description and in the claims of the embodiments and in the above-described figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe embodiments of the present application described herein. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion.
The term "plurality" means two or more, unless otherwise indicated.
In the embodiment of the present application, the character "/" indicates that the front and rear objects are an or relationship. For example, A/B represents: a or B.
The term "and/or" is an associative relationship that describes an object, meaning that there may be three relationships. For example, a and/or B, represent: a or B, or, A and B.
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the following description will be made with reference to the accompanying drawings by way of specific embodiments.
Fig. 1 is a flowchart of an implementation of a method for rural area mobile network services according to an embodiment of the present application, as shown in fig. 1, the method includes the following steps:
s101, acquiring basic MR data in a target rural area set detection period; the basic MR data are MR data which are sent by a plurality of user mobile terminals and carry the longitude and latitude information of the A-GPS; longitude and latitude information corresponding to the basic MR data is in the longitude and latitude range of the edge corresponding to the target rural area.
The MR data of the user mobile terminal is screened according to the latitude and longitude range of the target rural area, so that the surface coverage rate calculation is performed based on the MR data uploaded when the user mobile terminal is active in the target rural area, and the references of the MR data relative to the network analysis and service of the target rural area are improved.
As network devices are used for a long period of time or as network environments change, the corresponding network quality may vary from time to time. According to the specific mobile network service request time, the network operation data in the latest time period is obtained as the network quality analysis basic data, so that the efficiency of mobile network service can be improved.
Optionally, the detection period is set to 10-60 days. Wherein, the detection period is set to be not too short or too long.
Specifically, the network coverage rate needs to be determined based on the data in the set detection period, that is, when the user carries the mobile terminal to move in the target rural area range, the network coverage rate in all the moving ranges is required, so that the set detection period is too short, the corresponding moving range of the network coverage rate is easy to be smaller, and the network coverage rate cannot be comprehensively reflected. In addition, when the network point coverage rate, namely the network point coverage rate of a user during home, is determined, the detection period is set to be too long, the reference performance is poor after the interval time is long, and the calculation efficiency of the network surface coverage rate and the network point coverage rate is greatly affected by data volume calculation.
S102, determining the coverage rate of the network surface according to the basic MR data.
The basic MR data comprise data of all the movable ranges of the user in the home and the target rural area in a set detection period.
Optionally, when determining the coverage rate of the network surface according to the basic MR data, the classification screening is not performed, and the calculation is performed based on all the basic MR data.
Optionally, when the coverage rate of the network surface is determined according to the basic MR data, classification screening is performed according to the home period and the away-from-home activity period of the user, calculation is performed based on the basic MR data corresponding to the away-from-home activity period, and the attenuation of network quality caused by a home building and the like is avoided, so that the indoor and outdoor network coverage rate difference of the area nearby the home is large.
And S103, clustering the basic MR data according to the set time period to obtain a target data set, and determining the coverage rate of the network points according to the target data set.
Wherein the set time period mainly corresponds to a user's home period, and considering that the network quality is affected by a building or the like when the user is at home, the network quality is inferior to that outdoors. The coverage rate of the network points is determined based on the basic MR data in the set time period, so that the indoor network quality can be reflected more accurately.
S104, determining a corresponding service scheme based on network surface coverage rate and/or network point coverage rate according to the mobile network service business type aiming at the target rural area.
In the process of the embodiment, the mobile network service has a variety, and the mobile network service is different according to the service object, for example: network services for individual users, network optimization services for operators, etc. One or two of network coverage rate and network point coverage rate can be selected for different service services to formulate a targeted service scheme, so that the service scheme is guaranteed to improve network service quality and meet user requirements.
In the embodiment, by acquiring the basic MR data in the target rural area set detection period, respectively determining the network coverage rate and the network point coverage rate according to the basic MR data and determining the service scheme according to the mobile network service business type aiming at the target rural area based on the network coverage rate and the network point coverage rate in a two-dimensional pertinence manner, the problems that the number of monitoring points is small and the mobile network coverage condition of the whole rural area cannot be truly reflected in the traditional CQT mode are solved, the service scheme making efficiency is improved, and the network processing result meets the requirements of users on network services.
In one possible implementation, the mobile network service traffic types include: regional network optimization services, network point network failure handling services, and network coverage assessment services.
In this embodiment, the regional network optimization service and the network coverage assessment service mainly correspond to maintenance and optimization requirements of operators on network devices or network base stations, so as to improve network service quality and reduce the number of complaints of users. The network point network fault processing service mainly corresponds to the requirement of a user on network quality, when the network quality is poor, the user can initiate a fault processing request or service complaint and the like, and an operator needs to timely perform fault processing or complaint feedback.
In one possible implementation, according to a mobile network service traffic type for a target rural area, determining a corresponding service scheme based on network plane coverage and/or network point coverage includes:
when the mobile network service type is the regional network optimization service, determining a corresponding network optimization scheme based on the coverage rate of the network surface;
when the mobile network service type is network point network fault handling service, determining a corresponding fault handling scheme based on network surface coverage rate and network point coverage rate;
when the mobile network service business type is network coverage evaluation service, determining a corresponding evaluation result based on network point coverage rate.
In this embodiment, because the rural areas have larger building style differences, the indoor network quality of different users is affected differently by specific building structures, so that the regional network optimization service is preferentially considered, and the determination efficiency of the regional network optimization scheme can be improved. And aiming at the network coverage evaluation service, the personal network experience of the user is required to be considered, and the corresponding evaluation result is determined based on the network point coverage rate so as to optimize the network service based on the evaluation result and avoid user complaints. Aiming at network point network fault processing service, further feedback service is provided when user complaints or fault reports are received, so that analysis is performed based on network surface coverage rate and network point coverage rate to determine whether the overall regional network quality is problematic or the personal network quality of the user is problematic, and a targeted fault processing scheme is formulated.
In one possible implementation, determining a corresponding network optimization scheme based on network plane coverage includes:
determining the coverage rate of the base station far-point area network of the target base station according to the coverage rate of the network surface;
when the coverage rate of the base station far-point area network meets the base station extension condition, determining an extension base station aiming at a target rural area; otherwise, determining a base station equipment optimization scheme to improve the network quality of the target rural area;
the target base station is a base station corresponding to a target rural area; the distance between the target base station and the target rural area is smaller than a preset value.
In one possible implementation, the base station extension conditions include: the network points corresponding to the base station far-point area network coverage rate comprise network points outside a target base station coverage threshold value, and/or the average value of the base station far-point area network coverage rate is smaller than the area coverage rate threshold value.
In one possible implementation, determining a corresponding failure handling scheme based on network plane coverage and network point coverage includes:
determining the base station near point average coverage rate and the base station far point average coverage rate corresponding to the target rural area according to the network coverage rate;
determining the base station near point average point coverage rate and the base station far point average point coverage rate corresponding to the target rural area according to the network point coverage rate;
Determining a near point attenuation value according to the near point average surface coverage rate of the base station and the near point average point coverage rate of the base station, and determining a far point attenuation value according to the far point average surface coverage rate of the base station and the far point average point coverage rate of the base station;
and determining a corresponding attenuation value according to the distance between the fault network point and the corresponding target base station, and determining a fault processing scheme corresponding to the fault network point according to the attenuation value.
In one possible implementation, clustering the basic MR data according to a set period of time to obtain a target data set includes:
analyzing the basic MR data to determine the mobile phone number, and determining a broadband installation address corresponding to the mobile phone number according to the mobile phone number and the fusion broadband address library; wherein, fusing the broadband address library includes: fusing the installed address of the broadband and the corresponding bound mobile phone number and the mobile phone number accessed to the wireless network;
grouping according to the broadband installation address, the mobile phone number, MR data corresponding to the mobile phone number and the mobile network station to obtain grouping data;
determining target packet data according to the packet data, the target rural area and rural virtual call quality test CQT set; wherein, rural virtual CQT set includes: a broadband installation address corresponding to the test number; the test number is a mobile phone number in the converged broadband address library; the data amount of the target packet data is smaller than or equal to the data amount of the packet data;
Obtaining mobile network depth message detection DPI information corresponding to a mobile network station in target packet data, and determining a time period t1 of a test number accessing a mobile network station base station;
acquiring corresponding Deep Packet Inspection (DPI) information of the fused broadband according to the broadband installation address in the target packet data, and determining a time period t2 of the test number accessing the corresponding fused broadband;
intersection of the time period t1 and the time period t2 is taken to obtain a time period t3;
and clustering the basic MR data according to the time period t3 to obtain a target data set.
In this embodiment, MR data of the test number near the residence is screened from the target packet data based on the time intersection of the time period t1 of the test number accessing the mobile network station and the time period t2 of the test number accessing the corresponding converged broadband as reference data for rural area mobile network service, thereby improving the identification accuracy.
The rural area mobile network service scheme provided by the embodiment of the application is mainly implemented based on the current 5G network infrastructure and application, and the technical scheme is mainly described by a 5G network, a site and a base station. In the implementation process, the method is suitable for other types of mobile communication networks.
The method comprises the steps of determining corresponding binding mobile phone numbers based on installed addresses of the converged broadband and mobile phone numbers of wireless networks corresponding to the converged broadband, so that sampling points for network quality detection are increased, the problem that communication instability is reduced due to parameters of mobile phones when single users or the number of users is small, recognition results are affected, and recognition accuracy of 5G rural weak coverage areas is improved. The coverage area of a base station of a 5G site includes one or more rural areas, so that the 5G site is emphasized to be grouped, and broadband installed data, mobile phone numbers and MR data corresponding to mobile phone numbers, which are contained in the corresponding rural areas in the coverage area of the 5G site, are grouped into a group.
Because the rural area occupation area difference is large, part of rural area occupation area is small, residents are few, when the 5G rural weak coverage area is identified, the sampling point data, namely the MR data volume sent by the user mobile terminal, is small, and the network coverage quality evaluation accuracy is low. In order to increase the time sampling point data for rural area mobile network service, a plurality of rural areas are simultaneously used as areas to be evaluated, so that the coverage area of the areas to be evaluated is increased, the sampling data is increased, and the network coverage quality evaluation and the accuracy for rural area mobile network service are improved.
In the embodiment, by integrating the MR data of the user mobile terminal, fusing the broadband address library and the rural virtual CQT set, the method realizes that villagers in target rural areas in the coverage area of the area to be evaluated are determined based on broadband registration information, and the MR data sent by the villagers mobile terminal is used as a rural virtual CQT data base to complete the identification of the rural 5G weak coverage area, reduce the manual field detection cost, and improve the accuracy of the coverage test result of the rural area network compared with the increase of monitoring points in the traditional CQT mode.
In one possible implementation, determining the corresponding evaluation result based on the network point coverage includes:
determining the number N of network point coverage rates larger than a set threshold value and the total number M of basic MR data in a target data set;
the network coverage assessment result is determined based on the ratio of the number N and the total number M.
In this embodiment, the virtual CQT test is considered to be valid when the total number of reported MRs M is greater than the number of sampling points, i.e. the number of measurement numbers, otherwise, the small data volume results in the CQT test result being too low in accuracy, affecting the accuracy for rural area mobile network services.
If the 5G signal strength in the area to be evaluated is lower than the coverage threshold, the signal strength received by the terminal is unstable, the air interface quality is poor, and the call is easy to drop, so that the area where the 5G signal strength is lower than the coverage threshold is considered to be a weak coverage area.
Specifically, let q=n/M be 100%, where Q is the test address coverage; m is the total number of MR data corresponding to the target rural area; n is the number of M MR data for which RSRP is greater than the set threshold.
In one possible implementation, before determining the target packet data from the packet data, the target rural and rural virtual CQT address sets, further comprises:
and establishing a rural-5G site association relation according to the rural multi-level address library and the 5G site library so as to determine target grouping data according to the target rural and rural-5G site association relation.
In one possible implementation manner, before acquiring MR data sent by the plurality of user mobile terminals, the method further includes:
based on the province-city-county-town-village five-level address, constructing a rural multi-level address library by combining the central longitude and latitude of a rural coverage area;
based on the three-level addresses of province-city-county, and combining with 5G network construction and planning data of operators, establishing a 5G site library; wherein, 5G website library includes: station name, station number, base station area type, station longitude and latitude, antenna hanging height, antenna azimuth angle, antenna mechanical downtilt angle and antenna electronic downtilt angle;
based on the province-city-county-town-village-household six-level address, establishing a fusion broadband address library; wherein, fusing the broadband address library includes: the installed address, the installed longitude and latitude, the broadband code, the mobile phone number and the integrated terminal type of the broadband are integrated.
Among the five-level addresses of province-city-county-town-village, province level comprises a direct administration city, an autonomous area and a special administrative area; the market level comprises areas, allies, autonomous states and regions of the direct jurisdiction; the county level includes a county level city and a flag; the village level comprises towns, autonomous villages and sappan wood; the village level includes villages and villages.
In one possible implementation, establishing the rural-5G site association according to the rural area base information includes:
acquiring rural longitude and latitude corresponding to each rural area from a rural multi-level address library, and acquiring site longitude and latitude corresponding to each 5G site from a 5G site library;
calculating the distance between the longitude and latitude of each rural area and the longitude and latitude of each station;
and determining the rural area of each 5G site based on the set distance threshold.
In the embodiment, the accuracy of determining the association relationship between the 5G site and the rural area is improved based on the longitude and latitude, the situation that the rural position is in the boundary range of the two 5G sites is avoided, the association relationship between the rural area and the 5G site is determined inaccurately manually, the grouping accuracy is high when the MR data sent by the user mobile terminal are grouped, and the MR data have reference value for rural area mobile network services.
Fig. 2 is a schematic diagram illustrating rural, broadband installation address and 5G base station location according to an embodiment. Wherein, the distance between the rural area and the 5G base station 1 is d1, and the distance between the rural area and the 5G base station 2 is d2, that is, the distance between the rural area and the 5G base station 1 is closer, the 5G base station 1 is determined to belong to the rural area.
In one possible implementation, determining the rural area to which each 5G site belongs based on the set distance threshold includes:
determining rural candidate sets corresponding to each 5G site based on the set distance threshold;
and determining a target rural area from the rural candidate set according to the antenna hanging height, the azimuth angle and the downward inclination angle corresponding to each 5G site, and taking the target rural area as the rural area to which the 5G site belongs.
In the embodiment, the association relationship between the rural area and the 5G site is determined by integrating the longitude and latitude, the antenna hanging height, the azimuth angle and the downtilt angle of the 5G site, so that the accuracy of the association relationship between the rural area and the 5G site is further improved. Especially, aiming at the condition that the position of the rural area is in the boundary range of two 5G sites, the accuracy of determining the association relationship between the rural area and the 5G sites can be improved.
In one possible implementation manner, before acquiring MR data sent by the plurality of user mobile terminals, the method further includes:
determining a fusion terminal type corresponding to the installed address of the fusion broadband, and taking a mobile phone number corresponding to the 5G terminal as a test number;
determining rural-converged broadband association relation according to the installed addresses of the converged broadband in the converged broadband address library; wherein, each rural area corresponds to a plurality of fusion bandwidths;
and constructing a rural virtual CQT set according to the test number, the installed address of the converged broadband corresponding to the test number and the rural-converged broadband association relation.
Because the coverage time of the 5G network is relatively short and the coverage of the 5G network is continuously increased, part of user mobile phone terminals are not updated to be the 5G terminals, and therefore MR data sent in the communication process between the old version terminals and the base station has no reference value for rural area mobile network service.
In this embodiment, the binding mobile phone number corresponding to the installed address of the converged broadband and the mobile phone number accessed to the wireless network are screened based on the converged terminal type, and the mobile phone number corresponding to the 5G terminal is determined as the test number, so that the validity of the rural virtual CQT centralized test number is ensured.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.
The following are device embodiments of the present application, for details not described in detail therein, reference may be made to the corresponding method embodiments described above.
Fig. 3 is a schematic structural diagram of an apparatus for rural area mobile network services according to an embodiment of the present application, as shown in fig. 3, and for convenience of explanation, only a portion related to the embodiment of the present application is shown, as shown in fig. 3, where the system includes:
An acquisition module 301, configured to acquire basic measurement report MR data in a target rural area set detection period; the basic MR data are MR data which are sent by a plurality of user mobile terminals and carry the longitude and latitude information of the A-GPS; longitude and latitude information corresponding to the basic MR data is in an edge longitude and latitude range corresponding to the target rural area;
a coverage determination module 302, configured to determine a network coverage according to the basic MR data; clustering the basic MR data according to a set time period to obtain a target data set, and determining network point coverage rate according to the target data set;
and the service scheme determining module 303 is configured to determine, according to the mobile network service type for the target rural area, a corresponding service scheme based on the network plane coverage rate and/or the network point coverage rate.
In the embodiment, by acquiring the basic MR data in the target rural area set detection period, respectively determining the network coverage rate and the network point coverage rate according to the basic MR data and determining the service scheme according to the mobile network service business type aiming at the target rural area based on the network coverage rate and the network point coverage rate in a two-dimensional pertinence manner, the problems that the number of monitoring points is small and the mobile network coverage condition of the whole rural area cannot be truly reflected in the traditional CQT mode are solved, the service scheme making efficiency is improved, and the network processing result meets the requirements of users on network services.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 4, the electronic apparatus 4 of this embodiment includes: a processor 40, a memory 41 and a computer program 42 stored in the memory 41 and executable on the processor 40. The processor 40, when executing the computer program 42, implements the steps described above in the various embodiments of the method for rural area mobile network services, such as steps S101 to S104 shown in fig. 1. Alternatively, the processor 40, when executing the computer program 42, performs the functions of the modules/units of the apparatus embodiments described above.
Illustratively, the computer program 42 may be partitioned into one or more modules/units that are stored in the memory 41 and executed by the processor 40 to complete the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing the specified functions, which instruction segments are used to describe the execution of the computer program 42 in the electronic device 4.
The electronic device 4 may be a computing device such as a desktop computer, a notebook computer, a palm computer, a cloud server, etc. The electronic device 4 may include, but is not limited to, a processor 40, a memory 41. It will be appreciated by those skilled in the art that fig. 4 is merely an example of the electronic device 4 and is not meant to be limiting of the electronic device 4, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the electronic device may further include an input-output device, a network access device, a bus, etc.
The processor 40 may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 41 may be an internal storage unit of the electronic device 4, such as a hard disk or a memory of the electronic device 4. The memory 41 may be an external storage device of the electronic device 4, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) or the like, which are provided on the electronic device 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the electronic device 4. The memory 41 is used for storing the computer program and other programs and data required by the electronic device. The memory 41 may also be used for temporarily storing data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/electronic device and method may be implemented in other manners. For example, the apparatus/electronic device embodiments described above are merely illustrative, e.g., the division of the modules or units is merely a logical function division, and there may be additional divisions in actual implementation, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated modules/units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer-queriable storage medium. Based on such understanding, the present application implements all or part of the flow of the method of the above embodiment, or may be implemented by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of each of the method embodiments for rural area mobile network services. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the application, and are intended to be included within the scope of the present application.
Claims (8)
1. A method for rural area mobile network services, comprising:
acquiring basic measurement report MR data in a set detection period of a target rural area; the basic MR data are MR data which are sent by a plurality of user mobile terminals and carry the longitude and latitude information of the A-GPS; longitude and latitude information corresponding to the basic MR data is in an edge longitude and latitude range corresponding to the target rural area; the basic MR data comprise data of all the movable ranges of a user in the home and a target rural area in a set detection period;
determining network surface coverage according to the basic MR data;
Clustering the basic MR data according to a set time period to obtain a target data set, and determining network point coverage rate according to the target data set;
determining a corresponding service scheme based on the network surface coverage rate and/or the network point coverage rate according to the mobile network service type aiming at the target rural area;
wherein the mobile network service business types include: a regional network optimization service, a network point network fault handling service and a network coverage assessment service;
the determining a corresponding service scheme based on the network surface coverage rate and/or the network point coverage rate according to the mobile network service type aiming at the target rural area comprises the following steps:
when the mobile network service type is regional network optimization service, determining a corresponding network optimization scheme based on the network surface coverage rate;
when the mobile network service type is network point network fault handling service, determining a corresponding fault handling scheme based on the network surface coverage rate and the network point coverage rate;
and when the mobile network service type is network coverage evaluation service, determining a corresponding evaluation result based on the network point coverage rate.
2. The method for rural area mobile network service according to claim 1, wherein the determining a corresponding network optimization scheme based on the network plane coverage comprises:
determining the coverage rate of the base station far-point area network of the target base station according to the coverage rate of the network surface;
when the coverage rate of the base station far-point area network meets the base station extension condition, determining an extension base station aiming at the target rural area; otherwise, determining a base station equipment optimization scheme to improve the network quality of the target rural area;
the target base station is a base station corresponding to the target rural area; the distance between the target base station and the target rural area is smaller than a preset value.
3. The method for rural area mobile network service according to claim 2, wherein the base station extension condition comprises: and the network points corresponding to the base station far-point area network coverage rate comprise network points outside the coverage threshold value of the target base station, and/or the average value of the base station far-point area network coverage rate is smaller than the area coverage rate threshold value.
4. The method for rural area mobile network service according to claim 1, wherein the determining a corresponding failure handling scheme based on the network plane coverage and the network point coverage comprises:
Determining the base station near point average surface coverage rate and the base station far point average surface coverage rate corresponding to the target rural area according to the network surface coverage rate;
determining the base station near point average point coverage rate and the base station far point average point coverage rate corresponding to the target rural area according to the network point coverage rate;
determining a near point attenuation value according to the near point average surface coverage rate of the base station and the near point average point coverage rate of the base station, and determining a far point attenuation value according to the far point average surface coverage rate of the base station and the far point average point coverage rate of the base station;
and determining a corresponding attenuation value according to the distance between the fault network point and the corresponding target base station, and determining a fault processing scheme corresponding to the fault network point according to the attenuation value.
5. The method for rural area mobile network service according to claim 1, wherein the determining a corresponding evaluation result based on the network point coverage rate comprises:
determining the number N of network point coverage rates greater than a set threshold value and the total number M of basic MR data in the target data set;
and determining a network coverage assessment result based on the ratio of the number N to the total number M.
6. The method for rural area mobile network service according to any one of claims 1 to 5, wherein the clustering the base MR data according to a set period of time to obtain a target data set comprises:
Analyzing the basic MR data to determine a mobile phone number, and determining a broadband installation address corresponding to the mobile phone number according to the mobile phone number and a fusion broadband address library; wherein the fused broadband address library comprises: fusing the installed address of the broadband and the corresponding bound mobile phone number and the mobile phone number accessed to the wireless network;
grouping according to the broadband installation address, the mobile phone number, MR data corresponding to the mobile phone number and the mobile network station to obtain grouping data;
determining target packet data according to the packet data, the target rural area and rural virtual call quality test CQT set; wherein the rural virtual CQT set includes: a broadband installation address corresponding to the test number; the test number is a mobile phone number in the converged broadband address library; the data amount of the target packet data is smaller than or equal to the data amount of the packet data;
obtaining mobile network depth message detection DPI information corresponding to a mobile network station in the target packet data, and determining a time period t1 of a test number accessing a mobile network station base station;
acquiring corresponding deep packet inspection DPI information of the fused broadband according to the broadband installation address in the target packet data, and determining a time period t2 of the test number accessing the corresponding fused broadband;
Intersection of the time period t1 and the time period t2 is taken to obtain a time period t3;
and clustering the basic MR data according to the time period t3 to obtain a target data set.
7. An electronic device, comprising: comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of the preceding claims 1 to 6 when the computer program is executed.
8. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the steps of the method according to any of the preceding claims 1 to 6.
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