CN115580828A - Service area positioning method, device, equipment and storage medium - Google Patents

Service area positioning method, device, equipment and storage medium Download PDF

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Publication number
CN115580828A
CN115580828A CN202211186644.5A CN202211186644A CN115580828A CN 115580828 A CN115580828 A CN 115580828A CN 202211186644 A CN202211186644 A CN 202211186644A CN 115580828 A CN115580828 A CN 115580828A
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China
Prior art keywords
live broadcast
user
determining
service area
live
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Chinese (zh)
Inventor
李智
张平
夏皛
杨晟
赵春雷
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China United Network Communications Group Co Ltd
China Information Technology Designing and Consulting Institute Co Ltd
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China United Network Communications Group Co Ltd
China Information Technology Designing and Consulting Institute Co Ltd
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Priority to CN202211186644.5A priority Critical patent/CN115580828A/en
Publication of CN115580828A publication Critical patent/CN115580828A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/21Server components or server architectures
    • H04N21/218Source of audio or video content, e.g. local disk arrays
    • H04N21/2187Live feed
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/04Arrangements for maintaining operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W64/00Locating users or terminals or network equipment for network management purposes, e.g. mobility management

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  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The application provides a service area positioning method, a device, equipment and a storage medium, which comprises the steps of firstly obtaining communication data and service quality index data corresponding to each user terminal, wherein the communication data comprise user signaling data, then determining a user who carries out live broadcast service through the user terminal, namely a live broadcast user according to the service quality index data corresponding to each user terminal, then determining live broadcast activity of a base station cell corresponding to the live broadcast user according to the user signaling data corresponding to the live broadcast user, and further determining a live broadcast service area according to the live broadcast activity. The method and the device have the advantages that the user signaling data and the service quality index data are used as reference bases to realize accurate positioning of the live broadcast service area, so that data support can be provided for meeting higher requirements of network performance rate, time delay sensitivity and the like required by the live broadcast service area for developing the live broadcast service, and user perception is improved.

Description

Service area positioning method, device, equipment and storage medium
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a storage medium for locating a service area.
Background
With the rapid development of 5G network construction, the network red economy is rapidly developed under the popularization effects of e-commerce, social platforms, news and the like. The live broadcast population is rapidly expanded, and live broadcast service can be possibly developed at any time and any place. The development of the live broadcast service will bring higher requirements on the network performance rate and the delay sensitivity.
However, currently, the service hot spot scenes monitored by the network still remain in the category of traditional scene areas such as commercial streets, hot spots and the like, the reference basis for positioning the service hot spot scenes is only network O-domain traffic data, the data source is single, the method is old, the real-time performance is poor, the higher requirements of the live broadcast service on the network performance rate and the time delay sensitivity cannot be met, and the live broadcast user perception is reduced.
Disclosure of Invention
The application provides a service area positioning method, a service area positioning device and a storage medium, which are used for solving the technical problems that in the prior art, the data source for positioning a service area is single, the positioning means is old and the real-time performance is poor, so that the live broadcast service cannot be met.
In a first aspect, the present application provides a method for locating a service area, including:
acquiring communication data and service quality index data corresponding to each user terminal, wherein the communication data comprises user signaling data;
determining live broadcast users according to the service quality index data corresponding to each user terminal, wherein the live broadcast users comprise users who develop live broadcast services through the user terminals;
and determining the live broadcast activity of the base station cell corresponding to the live broadcast user according to the user signaling data corresponding to the live broadcast user so as to determine a live broadcast service area according to the live broadcast activity.
In one possible design, after the determining a live service area according to the live activity amount, the method further includes:
updating the live broadcast service area according to a preset time period so as to track the live broadcast service area to obtain position change data;
determining whether a network load abnormal behavior exists in the live broadcast service area according to the position change data;
if so, generating a network exception report according to the network load exception behavior, and implementing network repair through the network exception report.
In one possible design, after the determining a live service area according to the live activity amount, the method further includes:
generating a live broadcast user list in the live broadcast service area, and pushing live broadcast customized packages to all live broadcast users in the live broadcast user list; and/or
And judging whether the base station cells corresponding to all live broadcast users are problem cells according to the service quality index data corresponding to all live broadcast users, so as to generate network early warning data according to the judgment result.
In a possible design, the determining a live broadcast user according to the service quality indicator data corresponding to each user terminal includes:
screening service quality index data meeting a preset index standard from the service quality index data corresponding to each user terminal, wherein the preset index standard comprises one or more of a rate standard, a duration standard and a flow standard which need to be met by developing a live broadcast service;
and determining the live broadcast user according to the screened service quality index data.
In a possible design, the screening, from the qos indicator data corresponding to each ue, qos indicator data meeting a preset indicator standard includes:
screening the user uplink rate meeting the rate standard from the service quality index data corresponding to each user terminal;
screening the user uplink rate meeting the time length standard from the service quality index data corresponding to each user terminal;
screening the user uplink rate meeting the flow standard from the service quality index data corresponding to each user terminal;
and determining the screened user uplink rate as the screened service quality index data.
In a possible design, if the preset index criteria include at least two of the rate criteria, the duration criteria, and the traffic criteria, the determining the live broadcast user according to the screened service quality index data includes:
and determining the user type of the user terminal corresponding to the screened service quality index data as the live broadcast user.
In a possible design, if the preset index standard includes one of the rate standard, the duration standard, and the traffic standard, the determining the live broadcast user according to the screened service quality index data includes:
determining the user type of the user terminal corresponding to the screened service quality index data as a candidate user;
identifying the model of the user terminal of the candidate user according to the user bill data corresponding to the candidate user;
if the model of the user terminal of the candidate user is the target model, determining that the candidate user is the live broadcast user;
wherein the communication data further comprises user billing data corresponding to the candidate user.
In a possible design, the determining, according to user signaling data corresponding to the live broadcast user, a live broadcast activity amount of a base station cell corresponding to the live broadcast user includes:
determining a live broadcast time period of the live broadcast user for developing live broadcast service according to user signaling data corresponding to the live broadcast user;
determining the latitude and longitude of a base station cell in each preset time length in the live broadcast time period according to user signaling data corresponding to the live broadcast user so as to obtain a plurality of position points in the live broadcast time period;
acquiring the sum of the distances from each position point to all other position points in the plurality of position points;
determining a position point corresponding to the sum of the minimum distances in the sum of the distances as a target position point of the live broadcast time period;
and determining the live broadcast activity of the base station cell corresponding to the live broadcast user according to the target position point of the live broadcast time period.
In a possible design, the determining, according to the target location point of the live broadcast time period, the live broadcast activity amount of the base station cell corresponding to the live broadcast user includes:
determining a base station cell corresponding to the live broadcast user according to the target position point of the live broadcast time period;
and acquiring all live broadcast users in a base station cell corresponding to the live broadcast user, and acquiring the live broadcast activity of the base station cell corresponding to the live broadcast user according to the number and the live broadcast duration of all the live broadcast users in one day.
In one possible design, the determining a live service area according to the live activity amount includes:
acquiring live broadcast activity amount in unit area according to the live broadcast activity amount;
generating a thermal distribution diagram according to the unit area direct seeding activity;
and determining the coverage area of the thermal distribution map on the geographic area corresponding to the base station cell corresponding to the live broadcast user as the live broadcast service area.
In one possible design, after the generating the thermodynamic distribution map according to the unit area direct seeding activity amount, the method further includes:
and displaying different live activity amounts in the thermal distribution diagram through different colors.
In a second aspect, the present application provides a service area positioning apparatus, including:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring communication data and service quality index data corresponding to each user terminal, and the communication data comprises user signaling data;
the first processing module is used for determining live broadcast users according to the service quality index data corresponding to each user terminal, wherein the live broadcast users comprise users who develop live broadcast services through the user terminals;
and the second processing module is used for determining the live broadcast activity of the base station cell corresponding to the live broadcast user according to the user signaling data corresponding to the live broadcast user so as to determine a live broadcast service area according to the live broadcast activity.
In one possible design, the service area locating apparatus further includes: a third processing module; the third processing module is configured to:
updating the live broadcast service area according to a preset time period so as to track the live broadcast service area to obtain position change data;
determining whether a network load abnormal behavior exists in the live broadcast service area according to the position change data;
if so, generating a network exception report according to the network load exception behavior, and implementing network repair through the network exception report.
In one possible design, the third processing module is further configured to:
generating a live broadcast user list in the live broadcast service area, and pushing live broadcast customized packages to all live broadcast users in the live broadcast user list; and/or
And judging whether the base station cells corresponding to all live broadcast users are problem cells according to the service quality index data corresponding to all live broadcast users, so as to generate network early warning data according to the judgment result.
In one possible design, the first processing module includes:
the first processing submodule is used for screening service quality index data meeting a preset index standard from the service quality index data corresponding to each user terminal, wherein the preset index standard comprises one or more of a rate standard, a duration standard and a flow standard which need to be met for developing the live broadcast service;
and the second processing submodule is used for determining the live broadcast user according to the screened service quality index data.
In one possible design, the first processing submodule is specifically configured to:
screening the user uplink rate meeting the rate standard from the service quality index data corresponding to each user terminal;
screening the user uplink rate meeting the time length standard from the service quality index data corresponding to each user terminal;
screening the user uplink rate meeting the flow standard from the service quality index data corresponding to each user terminal;
and determining the screened user uplink rate as the screened service quality index data.
In a possible design, if the preset index criteria include at least two of the rate criteria, the duration criteria, and the traffic criteria, the second processing sub-module is specifically configured to:
and determining the user type of the user terminal corresponding to the screened service quality index data as the live broadcast user.
In a possible design, if the preset index criterion includes one of the rate criterion, the duration criterion, and the traffic criterion, the second processing sub-module is specifically configured to:
determining the user type of the user terminal corresponding to the screened service quality index data as a candidate user;
identifying the model of the user terminal of the candidate user according to the user bill data corresponding to the candidate user;
if the model of the user terminal of the candidate user is the target model, determining that the candidate user is the live broadcast user;
wherein the communication data further comprises user billing data corresponding to the candidate user.
In a possible design, the second processing module is specifically configured to:
determining a live broadcast time period of the live broadcast service developed by the live broadcast user according to user signaling data corresponding to the live broadcast user;
determining the latitude and longitude of a base station cell within each preset time length in the live broadcast time period according to user signaling data corresponding to the live broadcast user so as to obtain a plurality of position points in the live broadcast time period;
acquiring the sum of the distances from each position point to all other position points in the plurality of position points;
determining a position point corresponding to the sum of the minimum distances in the sum of the distances as a target position point of the live broadcast time period;
and determining the live broadcast activity of the base station cell corresponding to the live broadcast user according to the target position point of the live broadcast time period.
In one possible design, the second processing module is further configured to:
determining a base station cell corresponding to the live broadcast user according to the target position point of the live broadcast time period;
and acquiring all live broadcast users in a base station cell corresponding to the live broadcast user, and acquiring the live broadcast activity of the base station cell corresponding to the live broadcast user according to the number and the live broadcast duration of all the live broadcast users in one day.
In one possible design, the second processing module is further configured to:
acquiring live broadcast activity amount in unit area according to the live broadcast activity amount;
generating a thermal distribution diagram according to the unit area direct seeding activity;
and determining the coverage area of the thermal distribution map on the geographic area corresponding to the base station cell corresponding to the live broadcast user as the live broadcast service area.
In one possible design, the second processing module is further configured to:
and displaying different live activity amounts in the thermal distribution diagram through different colors.
In a third aspect, the present application provides an electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer execution instructions;
the processor executes computer-executable instructions stored in the memory to implement any one of the possible service area location methods provided in the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and when executed by a processor, the computer-executable instructions are used to implement any one of the possible service area positioning methods provided in the first aspect.
In a fifth aspect, the present application provides a computer program product comprising computer executable instructions for implementing any one of the possible service area location methods provided in the first aspect when executed by a processor.
The application provides a service area positioning method, a device, equipment and a storage medium, which comprises the steps of firstly obtaining communication data and service quality index data corresponding to each user terminal, wherein the communication data comprise user signaling data, then determining a user who carries out live broadcast service through the user terminal, namely a live broadcast user according to the service quality index data corresponding to each user terminal, then determining live broadcast activity of a base station cell corresponding to the live broadcast user according to the user signaling data corresponding to the live broadcast user, and further determining a live broadcast service area according to the live broadcast activity. The method and the device have the advantages that the user signaling data and the service quality index data are used as reference bases to realize the accurate positioning of the live broadcast service area, so that data support can be provided for meeting higher requirements of the live broadcast service area on network performance rate, time delay sensitivity and the like required by the live broadcast service, and further, the user perception is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application;
fig. 2 is a schematic flowchart of a service area positioning method according to an embodiment of the present disclosure;
fig. 3 is a schematic flowchart of another service area positioning method according to an embodiment of the present application;
fig. 4 is a schematic flowchart of another service area positioning method according to an embodiment of the present application;
fig. 5 is a schematic flowchart of another service area positioning method according to an embodiment of the present application;
fig. 6 is a schematic flowchart of another service area positioning method according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a service area positioning apparatus according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of another service area positioning apparatus according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present application. Rather, they are merely examples of methods and apparatus consistent with certain aspects of the application, as detailed in the appended claims.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims of the present application and in the above-described drawings (if any) are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
With the rapid expansion of live broadcast population, live broadcast service can be developed anytime and anywhere. The development of the live broadcast service will put higher requirements on the network performance rate and the delay sensitivity. However, currently, service hot spot scenes monitored by a network still remain in the category of traditional scene areas such as a commercial street and a hot spot, reference basis for positioning the service hot spot scenes is only network O-domain traffic data, and the data source is single, the method is old, and the real-time performance is poor, so that the higher requirements of the live broadcast service on network performance rate and delay sensitivity cannot be met, and live broadcast user perception is reduced.
In view of the foregoing problems in the prior art, the present application provides a method, an apparatus, a device, and a storage medium for locating a service area. The inventive concept of the service area positioning method provided by the application lies in that: the method comprises the steps of obtaining communication data and service quality index data corresponding to each user terminal in a certain geographic range, firstly determining users who develop live broadcast services through the user terminals according to the obtained service quality index data corresponding to each user terminal, namely live broadcast users, then determining live broadcast activity of base station cells corresponding to the live broadcast users according to user signaling data corresponding to the live broadcast users, further determining scene boundaries for developing the live broadcast services according to the live broadcast activity, and positioning a live broadcast service area. The method and the device have the advantages that the user signaling data and the service quality index data are used as reference bases to realize the accurate positioning of the live broadcast service area, so that data support can be provided for meeting higher requirements of network performance rate, time delay sensitivity and the like required by the live broadcast service area for developing the live broadcast service, and further user perception is improved.
An exemplary application scenario of the embodiments of the present application is described below.
Fig. 1 is a schematic view of an application scenario provided in an embodiment of the present application. As shown in fig. 1, the electronic device 100 is configured to execute the service area location method provided in this embodiment of the application, first obtain communication data and service quality index data corresponding to each user terminal within a certain geographic range, and then determine a user who performs a live broadcast service according to the obtained service quality index data corresponding to each user terminal, that is, a live broadcast user 200, and then determine a live broadcast activity of the live broadcast user 200 corresponding to a base station cell according to user signaling data corresponding to the live broadcast user in the communication data, and then determine a live broadcast service area according to the live broadcast activity, so as to implement accurate location of the live broadcast service area, and further provide data support for meeting higher requirements such as network performance rate and delay sensitivity required for performing the live broadcast service in the live broadcast service area, for example, accurately push a customized package beneficial for performing the live broadcast service for the live broadcast user 200, and/or effectively monitor conditions such as network load of a base station 300 corresponding to the live broadcast service area, thereby improving user perception.
It should be noted that the above-described certain geographic range may be set according to the network coverage condition of the operator and the regulatory requirement, for example, the geographic range may be a range governed by the current city of prefecture, etc. The base station 300 may include, but is not limited to, a base station of a network system such as 2G/3G/4G/5G.
In addition, the electronic device 100 may be a computer, a notebook computer, a tablet computer, a server cluster, and the like, and the type of the electronic device 100 is not limited in the embodiment of the present application, and the electronic device 100 in fig. 1 is illustrated by taking a computer as an example.
It should be noted that the above application scenarios are only exemplary, and the service area positioning method, apparatus, device, and storage medium provided in the embodiments of the present application include, but are not limited to, the above application scenarios.
Fig. 2 is a schematic flowchart of a service area positioning method provided in this application. As shown in fig. 2, a method for locating a service area provided in an embodiment of the present application includes:
s101: and acquiring communication data and service quality index data corresponding to each user terminal.
Wherein the communication data comprises user signalling data.
For example, an operator obtains communication data and service quality index data corresponding to each user terminal within a certain geographic range, which may be, for example, a current prefecture jurisdiction.
The communication data comprises user signalling data, which may for example be S1-MME data.
The S1-MME data, i.e. information interacted by eNodeB and MME (Mobility Management Entity) through S1 interface, is used to transmit Session Management (SM) and Mobility Management (MM) information, i.e. transport signaling plane or control plane information. The user terminal' S attachment, location area update, resource request, etc. in the wireless network all generate records of S1-MME data. The S1-MME data has many fields, which include various information of the user using the terminal wireless network, such as a mobile phone number of the user terminal, a signaling start time, an E-UTRAN Cell Identifier (ECI), and a base station Cell latitude and longitude.
The service Quality indicator data includes Key Performance Indicators (KPIs), key Quality Indicators (KQI), and other Performance data that can reflect the current network coverage Quality and perception, of the network side corresponding to the user terminal.
For example, the service quality indicator data may include network coverage quality indicators such as user uplink traffic throughput, user uplink rate, cell Physical Resource Blocks (PRB) utilization, cell Reference Signal Received Power (RSRP), signal to Interference plus Noise Ratio (SINR), and user perception indicators such as call completing rate, congestion rate, and time delay.
S102: and determining the live broadcast user according to the service quality index data corresponding to each user terminal.
The live broadcast users comprise users who develop live broadcast services through user terminals.
After the communication data and the service quality index data corresponding to each user terminal are obtained, based on the service characteristics of the live broadcast service, a user who carries out the live broadcast service through the user terminal, namely a live broadcast user, is determined according to the service quality index data corresponding to each user terminal.
The current live broadcast service is basically performed by using an RTMP (Real Time Message Protocol), and in combination with a flow architecture of the live broadcast service, picture and voice data of a main broadcast, that is, a live broadcast user, are collected at a front end, and are further uploaded to a server cluster, and are then distributed to live broadcast viewers in different places for watching. Therefore, the service characteristics of the live broadcast service are that the uploaded pictures and voice data of the live broadcast users depend on the uplink bandwidth, and the uplink bandwidth can be fed back by the service quality index data, so that the users who develop the live broadcast service through the user terminals, namely the live broadcast users, can be identified according to the service quality index data corresponding to each user terminal.
S103: and determining the live broadcast activity of the base station cell corresponding to the live broadcast user according to the user signaling data corresponding to the live broadcast user so as to determine a live broadcast service area according to the live broadcast activity.
After the user type corresponding to the user terminal is determined to be the live broadcast user, the live broadcast activity of the base station cell corresponding to the live broadcast user is further determined according to user signaling data corresponding to the live broadcast user in the user signaling data corresponding to each user terminal.
The base station cell corresponding to the live broadcast user refers to a base station cell for the live broadcast user to perform live broadcast service. Analyzing user signaling data corresponding to a live broadcast user, determining a base station cell of the live broadcast user for developing the live broadcast service, and further determining live broadcast activity corresponding to the base station cell for developing the live broadcast service, wherein the base station cell with large live broadcast activity indicates that live broadcast users developing the live broadcast service in a geographical area covered by the base station cell are more gathered, and the gathering area of the live broadcast users is determined to be a live broadcast service area, so that the positioning of the live broadcast service area is realized.
According to the above description, when positioning the live broadcast service area, based on the service characteristics of the live broadcast service, the service area positioning method provided in the embodiment of the present application determines, according to the service quality index data, that the user type is the target user of the live broadcast user, determines, based on the user signaling data corresponding to the live broadcast user, the live broadcast activity of the base station cell corresponding to the live broadcast user, and positions the live broadcast service area according to the live broadcast activity. The reference basis for positioning the live broadcast service area is non-single data, has good real-time performance and accords with the characteristics of the live broadcast service, so that the positioning of the live broadcast service area can be more accurate.
In addition, on the basis of positioning the live broadcast service area, the network load, network abnormity and other conditions of the live broadcast service area can be monitored in a targeted manner, the abnormal changes of the current network load and the like are tracked, the analysis of the network abnormity reason is assisted, the network problem is early warned, and the network quality such as the network performance rate, the time delay sensitivity and the like is guaranteed. And on the basis of positioning the live broadcast service area, all live broadcast users in the live broadcast service area can be obtained, and then customized packages which are favorable for the live broadcast service can be accurately pushed to the live broadcast users, so that the user perception is enhanced. Therefore, the live broadcast service area is positioned, data support can be provided for meeting higher requirements of network performance rate, time delay sensitivity and the like required by the live broadcast service area for carrying out the live broadcast service, and user perception is improved.
The method for locating the service area includes the steps of firstly obtaining communication data and service quality index data corresponding to each user terminal, wherein the communication data comprise user signaling data, then determining users who develop live broadcast services through the user terminals, namely live broadcast users according to the service quality index data corresponding to each user terminal, then determining live broadcast activity of base station cells corresponding to the live broadcast users according to the user signaling data corresponding to the live broadcast users, and further determining the live broadcast service area according to the live broadcast activity. The method and the device have the advantages that the user signaling data and the service quality index data are used as reference bases to realize accurate positioning of the live broadcast service area, so that data support can be provided for meeting higher requirements of network performance rate, time delay sensitivity and the like required by the live broadcast service area for developing the live broadcast service, and user perception is improved.
In a possible design, after step S103, the service area location method provided in this embodiment further includes the steps shown in fig. 3. Fig. 3 is a flowchart illustrating another service area positioning method according to an embodiment of the present application. As shown in fig. 3, the embodiment of the present application includes:
s201: updating the live broadcast service area according to a preset time period so as to track the live broadcast service area to obtain position change data;
s202: determining whether a network load abnormal behavior exists in a live broadcast service area according to the position change data;
s203: if so, generating a network exception report according to the network load exception behavior, and implementing network repair through the network exception report.
In order to monitor and track the change condition of the live broadcast service area in real time, a preset time period can be set, for example, every 15 minutes is a period, the live broadcast service area is updated, and the live broadcast service area is tracked to obtain pose change data of the live broadcast service area. And then judging whether the network load abnormal behavior exists in the live broadcast service area according to the position change data, if so, generating a network abnormal report according to the network load abnormal behavior, implementing network repair based on the network abnormal report, and assisting in analysis of network abnormal reasons.
Optionally, the position change data of the live broadcast service area is output by a large screen, so that the live broadcast service area is refreshed in real time at high frequency.
It should be understood that, updating the live broadcast service area according to the preset time period may be to cyclically obtain user signaling data and service quality index data of a user terminal in the live broadcast service area according to the preset time period, so as to refresh a user who carries out the live broadcast service through the user terminal, and refresh the live broadcast service area, thereby obtaining location change data of the live broadcast service area. The change of the live broadcast service area may be caused by abnormal network load behavior, for example, a hot spot event causes the abnormal network load behavior to change the live broadcast service area. Therefore, whether network load abnormal behavior exists in the live broadcast service area can be judged according to the position change data, and when the network load abnormal behavior exists, network repair is carried out in time, and normal operation of the network is guaranteed.
On the basis of the foregoing embodiment, optionally, after step S103, the service area location method provided in this embodiment may further include generating a live user list in the live service area, and pushing a live customized package to each live user in the live user list; and/or
And judging whether the base station cells corresponding to all the live users are problem cells according to the service quality index data corresponding to all the live users, so as to generate network early warning data according to the judgment result and guarantee user perception.
Fig. 4 is a flowchart illustrating a further method for locating a service area according to an embodiment of the present application. As shown in fig. 4, a method for locating a service area provided in an embodiment of the present application includes:
s301: and acquiring communication data and service quality index data corresponding to each user terminal.
Wherein the communication data comprises user signalling data.
The possible implementation manner, principle and effect of step S301 are similar to those of step S101, and the details can refer to the foregoing description and are not repeated herein.
S302: and screening the service quality index data meeting the preset index standard from the service quality index data corresponding to each user terminal.
And screening based on the service quality index data corresponding to each user terminal to screen out the service quality index data meeting the preset index standard.
Since the development of the live broadcast service depends on the upstream bandwidth, the upstream bandwidth can be fed back through the service quality index data. Therefore, a preset index standard can be set, and the service quality index data meeting the preset index standard is screened from the service index data corresponding to each user terminal according to the preset index standard.
The preset index standard comprises one or more of a rate standard, a duration standard and a flow standard which need to be met for developing the live broadcast service. The setting of the preset index standard is also based on the characteristics of the live broadcast service.
For example, the direct broadcasting service is usually developed in the standard mode, and when the user uplink rate is lower than 1Mbis, the retransmission rate is increased to more than 10% rapidly, resulting in a large amount of retransmission and serious watching of pictures. Therefore, the rate criterion in the preset index criterion can be defined as at least 1Mb/s of the user uplink rate. In addition, the live broadcast service is generally carried out through continuous service request, so that the medium duration standard represented by the preset index can be defined as that high uplink rate service (1 Mb/s) continuously occurs in every interval period, such as 15 minutes. In addition, for the live broadcast service, when the standard definition mode is adopted, the rate is equivalent to the server 10Mbps, the push stream live broadcast time can calculate the uplink push stream flow, and if the live broadcast time is 15 minutes, the uplink push stream flow is 15 × 10mbps 60/8=1.1gb. Therefore, the traffic standard in the preset index standard can be defined as that the uplink traffic generates more than 1GB traffic in every 15 minutes.
In one possible design, possible implementations of step S302 include:
screening user uplink rates meeting a rate standard from service quality index data corresponding to each user terminal, for example, screening uplink rates exceeding 1 Mb/s;
screening the user uplink rate meeting the time length standard from the service quality index data corresponding to each user terminal, for example, screening the user uplink rate at which the high uplink rate service continuously occurs in each interval period and exceeds 1 Mb/s;
and screening the uplink rate of the user meeting the flow standard from the service quality index data corresponding to each user terminal, for example, screening the uplink rate of the user generating a flow exceeding 1GB in the uplink service within 15 minutes.
And determining the screened user uplink rate as the screened service quality index data.
S303: and determining the live broadcast user according to the screened service quality index data.
And determining the live broadcast user based on the screened service quality index data so as to identify the user developing the live broadcast service.
Optionally, if the preset index criteria include at least two of a rate criterion, a duration criterion, and a flow criterion, a possible implementation manner of step S303 includes:
and determining the user type of the user terminal corresponding to the screened service quality index data as a live broadcast user.
Alternatively, if the preset index criterion includes one of a rate criterion, a duration criterion and a traffic criterion, a possible implementation manner of step S303 is shown in fig. 5. Fig. 5 is a flowchart illustrating another service area positioning method according to an embodiment of the present application. As shown in fig. 5, the embodiment of the present application includes:
s401: determining the user type of the user terminal corresponding to the screened service quality index data as a candidate user;
s402: identifying the model of the user terminal of the candidate user according to the user bill data corresponding to the candidate user;
s403: and if the model of the user terminal of the candidate user is the target model, determining that the candidate user is the live broadcast user.
If the preset index standard comprises one of a rate standard, a duration standard and a flow standard, identifying the live broadcast user by combining the model of the user terminal.
For example, the user type of the user terminal corresponding to the screened service quality index data is determined as a candidate user, then the model of the user terminal of the candidate user is identified according to the user bill data corresponding to the candidate user, and if the model of the user terminal of the candidate user is a target model, for example, the target model is a mobile phone model with a three-dimensional beauty function, the candidate user is determined as a live broadcast user.
The communication data corresponding to each user terminal acquired in step S301 includes user billing data corresponding to the candidate user, where the user billing data may be, for example, a user mobile phone number (msisdn), user package data, user billing data, and a user mobile phone EM model (emsi).
At this point, the user who performs the live broadcast service through the user terminal is determined according to the service quality index data corresponding to each user terminal through steps S302 and S303, that is, the live broadcast user is identified.
S304: and determining a live broadcast time period for the live broadcast user to carry out the live broadcast service according to user signaling data corresponding to the live broadcast user.
S305: and determining the latitude and longitude of the base station cell within each preset time length in the live broadcast time period according to the user signaling data corresponding to the live broadcast user so as to obtain a plurality of position points in the live broadcast time period.
As described in the foregoing embodiment, the user signaling data includes the signaling start time, and for the live broadcast user, the live broadcast time period during which the live broadcast user performs the live broadcast service can be known according to the signaling start time of the live broadcast user. Further, the user signaling data further comprises the latitude and longitude of the base station cell. Therefore, after the live broadcast time period of the live broadcast service development of the live broadcast user is obtained, the latitude and longitude of the base station cell within each preset time length are obtained in the live broadcast service development period of the live broadcast user, namely the live broadcast time period, and the latitude and longitude are correspondingly determined as the position points in the live broadcast time period. For example, during the live broadcast service, the latitude and longitude of the base station cell recorded the most times in every 15 minutes are recorded, and the recorded latitude and longitude of the base station cell is correspondingly determined as the position point in the live broadcast time period, so as to obtain a plurality of position points in the live broadcast time period, such as (A1, A2 \8230; an).
S306: and acquiring the sum of the distances from each position point in the plurality of position points to all other position points.
S307: and determining the position point corresponding to the minimum distance sum in the distance sums as the target position point of the live broadcast time period.
And calculating the sum of the distances from each position point to all other position points in the plurality of position points, determining the position point corresponding to the sum of the minimum distances in the calculated sums of the distances as a target position point of the live broadcast time period, and taking the target position point as a live broadcast activity point of the live broadcast time period.
S308: and determining the live broadcast activity of the base station cell corresponding to the live broadcast user according to the target position point of the live broadcast time period.
After the target position point of the live broadcast time period is obtained, the live broadcast activity of the corresponding base station cell is further determined according to the target position point, and the live broadcast activity is used for representing the live broadcast aggregation degree.
In a possible design, a possible implementation manner of step S308 includes:
firstly, a base station cell corresponding to a live broadcast user is determined according to a target position point of a live broadcast time period, specifically, the target position point is one of a plurality of position points corresponding to the dimension of the base station cell, and the base station cell corresponding to the live broadcast user corresponding to the target position point can be determined under the condition that the target position point is known. And then all live broadcast users in the base station cell corresponding to the live broadcast user are obtained, and the live broadcast activity of the base station cell corresponding to the live broadcast user is calculated according to the number and the live broadcast duration of all the live broadcast users in one day, namely the live broadcast activity of the base station cell corresponding to the live broadcast user is obtained.
Optionally, the live broadcast activity of the base station cell may be a product of the number of all live broadcast users in the base station cell and the live broadcast time length in one day, and the product is determined as the live broadcast activity of the base station cell to quantify the live broadcast activity of the base station cell.
At this point, the live broadcast activity of the base station cell corresponding to the live broadcast user is determined according to the user signaling data corresponding to the live broadcast user through steps S304 to S308.
S309: and determining a live broadcast service area according to the live broadcast activity.
And the area where the live broadcast activity amounts are gathered is determined as a live broadcast service area, so that after the live broadcast activity amounts of the base station cells corresponding to the live broadcast users are obtained, the live broadcast service area is determined based on the live broadcast activity amounts, and the live broadcast service area is positioned.
In one possible design, a possible implementation of step S309 is shown in fig. 6. Fig. 6 is a flowchart illustrating a further method for locating a service area according to an embodiment of the present application. As shown in fig. 6, the embodiment of the present application includes:
s3091: and acquiring the live broadcast activity amount in unit area according to the live broadcast activity amount.
And (3) distributing the live broadcast activity of the base station cell corresponding to the live broadcast user into 100m grids by utilizing the Thiessen diagram according to the network coverage range of the base station cell to obtain a live broadcast heat value in unit area, namely the live broadcast activity in unit area. The Thiessen diagram is generated based on a geographic area corresponding to the network coverage area of the base station cell.
S3092: and generating a thermal distribution diagram according to the unit area direct seeding activity.
And drawing a thermal distribution diagram on a city map to which the network coverage of the base station cell belongs according to unit area live broadcast activity, so as to represent the live broadcast user aggregation condition on the city map through the thermal distribution diagram.
Optionally, different live activity amounts may be displayed in different colors on the drawn thermodynamic distribution diagram to distinguish live user aggregation degrees. For example, a region ranked 10% of the live activity in the thermodynamic profile may be determined as a first level, identified by red; the area with the live broadcast activity amount of 10% -20% can be determined as a second level and is marked by purple; the area with the live broadcast activity amount of 20% -30% can be determined as a third grade and is marked by yellow; the area with the live broadcast activity amount of 30% -40% can be determined as a fourth grade and is marked by blue; the area with the live broadcast activity amount of 40% -60% can be determined as a fifth grade and is marked by green; areas corresponding to other parts of live broadcast activity amounts (namely 60% -100%) can be determined to be a sixth grade, and thermal distribution diagrams displaying different live broadcast activity amounts in different colors are formed through gray identification.
S3093: and determining the coverage area of the thermal distribution diagram on the geographical area corresponding to the base station cell corresponding to the live broadcast user as a live broadcast service area.
A heat distribution map is constructed on a city map to which the network coverage of the base station cell belongs, and the boundary of a live broadcast user gathering area can be visually displayed from the heat distribution map. Therefore, the coverage area of the thermal distribution map on the geographic area corresponding to the base station cell corresponding to the live broadcast user is determined as a live broadcast service area, and the live broadcast service area is positioned. The geographic area corresponding to the base station cell corresponding to the live broadcast user is also the area represented by the city map to which the network coverage area of the base station cell belongs.
The embodiment of the application provides a service area positioning method, which includes setting a preset index standard according to live broadcast service characteristics, identifying a live broadcast user according to service quality index data of each user terminal by combining the preset index standard and user bill data in communication data, further determining live broadcast activity of a base station cell corresponding to the live broadcast user according to user signaling data corresponding to the live broadcast user, and further constructing a thermal distribution diagram according to the live broadcast activity so as to identify a boundary of a live broadcast user gathering area and position a live broadcast service area. The method and the device have the advantages that the user signaling data and the service quality index data are used as reference bases to realize accurate positioning of the live broadcast service area, data support is provided for meeting higher requirements of network performance rate, time delay sensitivity and the like required by the live broadcast service area for developing the live broadcast service, and user perception is improved.
Fig. 7 is a schematic structural diagram of a service area positioning apparatus according to an embodiment of the present application. As shown in fig. 7, a service area positioning apparatus 500 provided in this embodiment of the present application includes:
an obtaining module 501, configured to obtain communication data and service quality indicator data corresponding to each user terminal, where the communication data includes user signaling data;
a first processing module 502, configured to determine a live broadcast user according to service quality index data corresponding to each user terminal, where the live broadcast user includes a user who performs a live broadcast service through the user terminal;
the second processing module 503 is configured to determine a live broadcast activity amount of a base station cell corresponding to a live broadcast user according to user signaling data corresponding to the live broadcast user, so as to determine a live broadcast service area according to the live broadcast activity amount.
On the basis of fig. 7, fig. 8 is a schematic structural diagram of another service area positioning device provided in the embodiment of the present application. As shown in fig. 8, the service area locating apparatus 500 provided in the embodiment of the present application further includes: a third processing module 504. A third processing module 504 configured to:
updating a live broadcast service area according to a preset time period so as to track the live broadcast service area to obtain position change data;
determining whether a network load abnormal behavior exists in a live broadcast service area according to the position change data;
if yes, generating a network abnormal report according to the network load abnormal behavior, and implementing network repair through the network abnormal report.
In one possible design, the third processing module 504 is further configured to:
generating a live broadcast user list in a live broadcast service area, and pushing live broadcast customized packages to all live broadcast users in the live broadcast user list; and/or
And judging whether the base station cells corresponding to all the live broadcast users are problem cells according to the service quality index data corresponding to all the live broadcast users so as to generate network early warning data according to the judgment result.
In one possible design, the first processing module 502 includes:
the first processing submodule is used for screening the service quality index data meeting the preset index standard from the service quality index data corresponding to each user terminal, wherein the preset index standard comprises one or more of a rate standard, a duration standard and a flow standard which need to be met by developing the live broadcast service;
and the second processing submodule is used for determining the live broadcast user according to the screened service quality index data.
In one possible design, the first processing submodule is specifically configured to:
screening the user uplink rate meeting the rate standard from the service quality index data corresponding to each user terminal;
screening user uplink rates meeting the time length standard from service quality index data corresponding to each user terminal;
screening the user uplink rate meeting the flow standard from the service quality index data corresponding to each user terminal;
and determining the screened user uplink rate as the screened service quality index data.
In one possible design, if the preset index criteria include at least two of a rate criterion, a duration criterion, and a traffic criterion, the second processing sub-module is specifically configured to:
and determining the user type of the user terminal corresponding to the screened service quality index data as a live broadcast user.
In a possible design, if the preset index criterion includes one of a rate criterion, a duration criterion, and a traffic criterion, the second processing sub-module is specifically configured to:
determining the user type of the user terminal corresponding to the screened service quality index data as a candidate user;
identifying the model of the user terminal of the candidate user according to the user bill data corresponding to the candidate user;
if the model of the user terminal of the candidate user is the target model, determining that the candidate user is a live broadcast user;
the communication data further comprises user bill data corresponding to the candidate users.
In one possible design, the second processing module 503 is specifically configured to:
determining a live broadcast time period for a live broadcast user to carry out live broadcast service according to user signaling data corresponding to the live broadcast user;
determining the latitude and longitude of a base station cell in each preset time length in a live broadcast time period according to user signaling data corresponding to a live broadcast user to obtain a plurality of position points in the live broadcast time period;
acquiring the sum of the distances from each position point to all other position points in the plurality of position points;
determining a position point corresponding to the sum of the minimum distances in the sum of the distances as a target position point of the live broadcast time period;
and determining the live broadcast activity of the base station cell corresponding to the live broadcast user according to the target position point of the live broadcast time period.
In one possible design, the second processing module 503 is further configured to:
determining a base station cell corresponding to a live broadcast user according to a target position point of a live broadcast time period;
and acquiring all live broadcast users in the base station cell corresponding to the live broadcast user, and acquiring the live broadcast activity of the base station cell corresponding to the live broadcast user according to the number and the live broadcast duration of all the live broadcast users in one day.
In one possible design, the second processing module 503 is further configured to:
acquiring live broadcast activity in unit area according to the live broadcast activity;
generating a thermal distribution diagram according to the unit area direct seeding activity;
and determining the coverage area of the thermal distribution map on the geographic area corresponding to the base station cell corresponding to the live broadcast user as a live broadcast service area.
In one possible design, the second processing module 503 is further configured to:
different live activity amounts are shown by different colors in the thermodynamic profile.
The service area positioning device provided in the embodiment of the present application may perform each step of the service area positioning method in the foregoing method embodiments, and the implementation principle and technical effect are similar, which are not described herein again.
Fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 9, the electronic device 600 may include: a processor 601, and a memory 602 communicatively coupled to the processor 601.
A memory 602 for storing programs. In particular, the program may include program code comprising computer-executable instructions.
The memory 602 may comprise high-speed RAM memory, and may also include non-volatile memory (MoM-volatile memory), such as at least one disk memory.
Processor 601 is configured to execute computer-executable instructions stored by memory 602 to implement a service area location method.
The processor 601 may be a central processing unit (cemtran processing mg UMit, abbreviated as CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.
Alternatively, the memory 602 may be separate or integrated with the processor 601. When the memory 602 is a device independent of the processor 601, the electronic device 600 may further include:
a bus 603 for connecting the processor 601 and the memory 602. The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. Buses may be divided into address buses, data buses, control buses, etc., but do not represent only one bus or type of bus.
Alternatively, in a specific implementation, if the memory 602 and the processor 601 are implemented in a single chip, the memory 602 and the processor 601 may complete communication through an internal interface.
The present application also provides a computer-readable storage medium, which may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and in particular, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used for the steps of the method in the foregoing embodiments.
The present application also provides a computer program product comprising computer executable instructions which, when executed by a processor, perform the steps of the method in the above embodiments.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (14)

1. A method for locating a service area, comprising:
acquiring communication data and service quality index data corresponding to each user terminal, wherein the communication data comprises user signaling data;
determining live broadcast users according to the service quality index data corresponding to each user terminal, wherein the live broadcast users comprise users who develop live broadcast services through the user terminals;
and determining the live broadcast activity of the base station cell corresponding to the live broadcast user according to the user signaling data corresponding to the live broadcast user so as to determine a live broadcast service area according to the live broadcast activity.
2. The method of claim 1, wherein after determining a live service area according to the live activity amount, the method further comprises:
updating the live broadcast service area according to a preset time period so as to track the live broadcast service area to obtain position change data;
determining whether a network load abnormal behavior exists in the live broadcast service area according to the position change data;
if so, generating a network exception report according to the network load exception behavior, and implementing network repair through the network exception report.
3. The service area positioning method according to claim 1, wherein after determining a live service area according to the live activity amount, the method further comprises:
generating a live broadcast user list in the live broadcast service area, and pushing live broadcast customized packages to all live broadcast users in the live broadcast user list; and/or
And judging whether the base station cells corresponding to all the live users are problem cells according to the service quality index data corresponding to all the live users, and generating network early warning data according to the judgment result.
4. The method of any of claims 1 to 3, wherein the determining a live user according to the service quality indicator data corresponding to each user terminal comprises:
screening service quality index data meeting a preset index standard from the service quality index data corresponding to each user terminal, wherein the preset index standard comprises one or more of a rate standard, a duration standard and a flow standard which need to be met for developing the live broadcast service;
and determining the live broadcast user according to the screened service quality index data.
5. The method of claim 4, wherein the step of screening the service quality index data meeting a preset index standard from the service quality index data corresponding to each ue comprises:
screening the user uplink rate meeting the rate standard from the service quality index data corresponding to each user terminal;
screening the user uplink rate meeting the time length standard from the service quality index data corresponding to each user terminal;
screening the user uplink rate meeting the flow standard from the service quality index data corresponding to each user terminal;
and determining the screened user uplink rate as the screened service quality index data.
6. The service area locating method according to claim 5, wherein if the preset index criteria include at least two of the rate criteria, the duration criteria, and the traffic criteria, the determining the live broadcast user according to the screened service quality index data includes:
and determining the user type of the user terminal corresponding to the screened service quality index data as the live broadcast user.
7. The method according to claim 5, wherein if the preset index criteria includes one of the rate criteria, the duration criteria, and the traffic criteria, the determining the live broadcast user according to the screened out service quality index data includes:
determining the user type of the user terminal corresponding to the screened service quality index data as a candidate user;
identifying the model of the user terminal of the candidate user according to the user bill data corresponding to the candidate user;
if the model of the user terminal of the candidate user is the target model, determining that the candidate user is the live broadcast user;
wherein the communication data further comprises user billing data corresponding to the candidate user.
8. The service area positioning method according to any one of claims 1 to 3, wherein the determining the live broadcast activity level of the base station cell corresponding to the live broadcast user according to the user signaling data corresponding to the live broadcast user comprises:
determining a live broadcast time period of the live broadcast service developed by the live broadcast user according to user signaling data corresponding to the live broadcast user;
determining the latitude and longitude of a base station cell in each preset time length in the live broadcast time period according to user signaling data corresponding to the live broadcast user so as to obtain a plurality of position points in the live broadcast time period;
acquiring the sum of the distances from each position point to all other position points in the plurality of position points;
determining a position point corresponding to the sum of the minimum distances in the sum of the distances as a target position point of the live broadcast time period;
and determining the live broadcast activity of the base station cell corresponding to the live broadcast user according to the target position point of the live broadcast time period.
9. The method of claim 8, wherein the determining the live broadcast activity of the base station cell corresponding to the live broadcast user according to the target location point of the live broadcast time period comprises:
determining a base station cell corresponding to the live broadcast user according to the target position point of the live broadcast time period;
and acquiring all live broadcast users in a base station cell corresponding to the live broadcast user, and acquiring the live broadcast activity of the base station cell corresponding to the live broadcast user according to the number and the live broadcast duration of all the live broadcast users in one day.
10. The method of claim 9, wherein determining a live service area according to the live activity level comprises:
acquiring live broadcast activity amount in unit area according to the live broadcast activity amount;
generating a thermal distribution map according to the unit area direct seeding activity;
and determining the coverage area of the thermal distribution map on the geographic area corresponding to the base station cell corresponding to the live broadcast user as the live broadcast service area.
11. The service area localization method according to claim 10, further comprising, after said generating a thermodynamic distribution map from said live activity per unit area,:
and displaying different live activity amounts in the thermal distribution diagram through different colors.
12. A service area locating device, comprising:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring communication data and service quality index data corresponding to each user terminal, and the communication data comprises user signaling data;
the first processing module is used for determining live broadcast users according to the service quality index data corresponding to each user terminal, wherein the live broadcast users comprise users who develop live broadcast services through the user terminals;
and the second processing module is used for determining the live broadcast activity of the base station cell corresponding to the live broadcast user according to the user signaling data corresponding to the live broadcast user so as to determine a live broadcast service area according to the live broadcast activity.
13. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored by the memory to implement the service area location method of any of claims 1-11.
14. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by a processor, are configured to implement the service area location method of any one of claims 1-11.
CN202211186644.5A 2022-09-27 2022-09-27 Service area positioning method, device, equipment and storage medium Pending CN115580828A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116132743A (en) * 2023-03-15 2023-05-16 泰州市双逸体育器材有限公司 Online AI intelligent motion user data authentication application system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116132743A (en) * 2023-03-15 2023-05-16 泰州市双逸体育器材有限公司 Online AI intelligent motion user data authentication application system
CN116132743B (en) * 2023-03-15 2024-04-02 释空(上海)品牌策划有限公司 Online AI intelligent motion user data authentication application system

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