CN111988794A - Scene-oriented network monitoring method and device - Google Patents

Scene-oriented network monitoring method and device Download PDF

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Publication number
CN111988794A
CN111988794A CN201910430731.2A CN201910430731A CN111988794A CN 111988794 A CN111988794 A CN 111988794A CN 201910430731 A CN201910430731 A CN 201910430731A CN 111988794 A CN111988794 A CN 111988794A
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China
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scene
information
user
monitoring
network
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CN201910430731.2A
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CN111988794B (en
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张立杰
张璐岩
贾磊
方路成
郝党科
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China Mobile Communications Group Co Ltd
China Mobile Group Shanxi Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile Group Shanxi Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

Abstract

The invention discloses a scene-oriented network monitoring method and a scene-oriented network monitoring device, wherein the method comprises the following steps: the method comprises the steps of collecting current user network information, monitoring index information and geographical map layer information in a designated area, identifying a scene in the designated area according to the geographical map layer, determining a cell covering the scene according to the user network information, and monitoring a network of the scene according to the current monitoring index information of the cell covering the scene. By utilizing the method and the device, the selection of the scene and the determination of the cells in the scene are automatically processed through the platform, and compared with a scene monitoring mode in the prior art, the accuracy and the efficiency of a mobile network for monitoring the scene are greatly improved.

Description

Scene-oriented network monitoring method and device
Technical Field
The invention relates to the technical field of computers, in particular to a scene-oriented network monitoring method and device, electronic equipment and a storage medium.
Background
With the rapid development of the mobile internet, the mobile internet gradually becomes an important part of the daily life of people, and the daily life of people is greatly facilitated.
At present, the network quality of the mobile internet in different scenes fluctuates due to reasons such as weather and geographical positions, which affects the experience of the user in using the mobile internet, and therefore, in order to improve the experience of the user in using the mobile internet, the mobile internet in different scenes needs to be monitored.
The existing network monitoring method generally includes manually selecting a scene and a scene boundary, manually determining a cell covering the scene through scene boundary information, and monitoring the selected scene according to network data of the cell.
However, in the prior art, the whole process is realized by relying on manual participation, the situations of incomplete selection or omission occur in scene selection and coverage scene cell determination, and the monitoring efficiency and accuracy are low.
Disclosure of Invention
In view of the above, the present invention is proposed to provide a scenario-oriented network monitoring method and apparatus, an electronic device, a storage medium, which overcome the above problems or at least partially solve the above problems.
According to an aspect of the present invention, a method for scene-oriented network monitoring, the method comprises:
acquiring current user network information, monitoring index information and geographical map layer information in a designated area;
identifying scenes in the designated area according to the geographical map layer;
determining a cell covering the scene according to the user network information;
and monitoring the network of the scene according to the current monitoring index information of the cell covering the scene.
According to another aspect of the present invention, there is provided a scene-oriented network monitoring apparatus, the apparatus comprising:
the acquisition module is used for acquiring current user network information, monitoring index information and geographical map layer information in a specified area;
the identification module is used for identifying the scene in the designated area according to the geographical map layer;
a determining module, configured to determine, according to the user network information, a cell covering the scene;
and the monitoring module is used for monitoring the network of the scene according to the current monitoring index information of the cell covering the scene.
According to another aspect of the present invention, there is provided an electronic apparatus including: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is configured to store at least one executable instruction that causes the processor to:
acquiring current user network information, monitoring index information and geographical map layer information in a designated area;
identifying scenes in the designated area according to the geographical map layer;
determining a cell covering the scene according to the user network information;
And monitoring the network of the scene according to the current monitoring index information of the cell covering the scene.
According to yet another aspect of the present invention, there is provided a storage medium having stored therein at least one executable instruction, the executable instruction causing a processor to:
acquiring current user network information, monitoring index information and geographical map layer information in a designated area;
identifying scenes in the designated area according to the geographical map layer;
determining a cell covering the scene according to the user network information;
and monitoring the network of the scene according to the current monitoring index information of the cell covering the scene.
According to the scene-oriented network monitoring method and device provided by the invention, the method comprises the following steps: the method comprises the steps of collecting current user network information, monitoring index information and geographical map layer information in a designated area, identifying a scene in the designated area according to the geographical map layer, determining a cell covering the scene according to the user network information, and monitoring a network of the scene according to the current monitoring index information of the cell covering the scene. By utilizing the method and the device, the selection of the scene and the determination of the cells in the scene are automatically processed through the platform, and compared with a scene monitoring mode in the prior art, the accuracy and the efficiency of a mobile network for monitoring the scene are greatly improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 shows a flow diagram of a scenario-oriented network monitoring method according to one embodiment of the present invention;
FIG. 2 shows a schematic diagram of a scenario-oriented network monitoring apparatus according to one embodiment of the present invention;
fig. 3 shows a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Fig. 1 shows a flow chart of a scenario-oriented network monitoring method according to an embodiment of the invention. As shown in fig. 1, the method comprises the steps of:
s101: and acquiring current user network information, monitoring index information and geographical map layer information in a specified area.
In practical application, the network quality of the mobile internet in different scenes fluctuates due to reasons such as weather and geographical positions, which affects the experience of the user in using the mobile internet, and therefore, in order to improve the experience of the user in using the mobile internet, the mobile internet in different scenes needs to be monitored.
In the process of monitoring the mobile internet in different scenes, the embodiment of the present specification first needs to acquire current user network information, monitoring index information and geographical map layer information in a specified area.
It should be noted that the user network information described in this embodiment may be user signaling information, the collection of the user signaling information is automatically collected through a signaling platform, and the collected information mainly includes: S1-MME, S1-U, user plane primitive stream, Length, City, Interface, xDR ID, RAT, IMSI, IMEI, MSISDN, Local Provisince, Local City, Owner Provisince, Owner City, Roaming Type, Machine IP Add Type, SGW/GGSN IP Add, eNB/SGSN, IP Add, PGW Add, SGW/GGSN Port, eNB/SGSN Port, PGW Port, eNB/SGSN GTP-TEID, SGW/GGSN GTP, TEID, TAC, Cell ID, APNhttp message uplink 3000 bytes, downlink 1500 bytes and the like. The user network information can also be user measurement report information, the acquisition of the user measurement report information is automatically acquired through a measurement report platform, and the acquired information mainly comprises: start time, ENODEBIDCellIdMmeCodeMmeGroupid, MmeUeS1apId,
LtessRSRPLTPLeNcRSRPLTSCRSQLtNcRSQLtSccRqLtScPcLtNcEarfcNcGmbCnCyrtBscmNcGmbCncBcBcTcTcPcPccpcpchRSCTsRCLrRTTDLtRTTDLtLtTadLtLtLtScLtLtLtScLrSCrSCrLrSCrLrLrSCrLrLrNcGnCSrL-ScrLrNcGnL, neighbor information, etc., wherein the LtessRSRPRSRPLTRPLTsNcGnCscnCnCscnCscnTcGnTcGnTsRCsRCsRCeNcGtRCsRCsRCsRCsRCsRCsRCsRCsRCsRCsRCsRCeNcGtRCsRChTrBcGtRCsRCsRCsRCsRCTrRCTrRCsRCsRCsRCsRCsRCsRCTrRCTrRCsRCTrRCsRCsRCTrRCTrRCrRCsRCsRCsRCsRCsRCTrRCrRCrBcGtRCrRCrRCTrRCrBcGtRCr.
In addition, the monitoring index information can be key performance index information, the collection of the key performance index information is automatically collected through a north interface of the network manager and a signaling platform, and the collected information mainly comprises the following components: start time, cell name, ENODEBIDCellId call completing rate, call drop rate, packet loss rate, PRB utilization rate and switching success rate. The monitoring index information can also be key quality index information, the collection of the key instruction index information is automatically collected through a north interface of the network manager and a signaling platform, and the collected information mainly comprises: WEB surfing and FTP.
It should be further noted that the geographical map layer information includes a scene, a boundary of the scene, a location, an address, a longitude and latitude, and the like.
In addition, in the embodiments of the present specification, a scene refers to a building area in the real world, for example, a park may be regarded as one scene, a residential quarter may be regarded as another scene, a school may be regarded as one scene, and different parks may be regarded as different scenes.
S102: and identifying the scene in the designated area according to the geographical map layer.
Since the mobile internet in different scenes is monitored, in the embodiment of the present specification, each scene needs to be identified in a designated area according to the collected geographic map layer, and then, the mobile internet in different scenes is monitored.
Further, an embodiment of the present specification provides an implementation manner for identifying a scene in the specified area according to the geographical map layer, which is specifically as follows:
and identifying a scene boundary layer in the designated area in the geographic layer by a web crawler technology, and determining a scene in the designated area according to the identified scene boundary layer in the designated area.
It should be noted that the area surrounded by the scene boundary layers is a scene, and after each scene is determined, the area may be automatically associated with the acquired location, address, and longitude and latitude on the basis of the layer corresponding to each scene.
It should be noted here that, in practical applications, it is impossible to monitor the mobile internet in scenes all over china, and therefore, in the embodiment of the present specification, a certain area is specified according to actual conditions, and only the mobile internet in the scene in the specified area is monitored.
S103: and determining the cell covering the scene according to the user network information.
Further, since the present invention monitors the mobile internet of a scene through the monitoring index information of the cell, in the embodiment of the present specification, after identifying each scene in the designated area, it is also necessary to determine the cell covering the scene for each scene.
It should be noted that a cell refers to an area covered by one base station or a part (sector antenna) of the base station in a cellular mobile communication system, and in this area, a mobile station can reliably communicate with the base station through a radio channel.
In addition, in practical application, when a user uses a communication device such as a mobile phone to communicate with the outside, the user needs to use the mobile internet transmitted by the cell, so in the embodiment of the present specification, the location of the user can be determined by collecting network information of the user, and thus, which cell the mobile internet connected to the user transmits when using the communication device is determined, and further, the cell covering the scene is determined.
Based on this, the embodiments of this specification provide two implementation manners for determining the cell covering the scenario according to the user network information, which are specifically as follows:
the first embodiment: and determining the position information of the user according to the user network information, determining whether the user network information is positioned in the scene or not according to the position information of the user and the scene boundary layer of the scene, and analyzing the user network information to obtain a cell covering the scene when the user network information is positioned in the scene.
The second embodiment comprises the following steps of establishing user network information: based on user signaling information and user measurement report information, specifically, according to the user signaling information, determining position information of a user, according to a user identifier in the user signaling information, determining the user measurement report information corresponding to the user signaling information, according to the user position information, determining the user measurement report information including the position information, according to the user measurement report information including the position information and a scene boundary layer of the scene, determining whether the user measurement report information is located in the scene, and when the user measurement report information is located in the scene, analyzing the user measurement report information to obtain a cell covering the scene.
It should be noted that, according to the user signaling information, the location information of the user is determined, specifically, the location information of the user is solved from the uplink data and the downlink data of the S1-U original signaling code stream. The user signaling information and the user measurement report information both contain user identification, and the user identification can be mmeues1 apids. In addition, the analyzing of the user measurement report information to obtain the cell covering the scene is to obtain the identifier of the cell covering the scene after analyzing the user measurement report information, and then determine the cell covering the scene through the identifier of the cell covering the scene.
S104: and monitoring the network of the scene according to the current monitoring index information of the cell covering the scene.
Since the mobile internet of the scene is monitored by the monitoring index information of the cells, in the embodiment of the present specification, after the cells covering the scene are determined, the network quality condition of the scene needs to be monitored according to the current monitoring index information of each cell covering the scene.
Further, the embodiments of the present specification provide two implementation manners for monitoring the network quality condition of a scene according to the current monitoring index information of each cell covering the scene, which are specifically as follows:
The first embodiment: obtaining historical monitoring index information in a cell appointed time period covering the scene, determining a dynamic index threshold according to the historical monitoring index information in the cell appointed time period covering the scene, and monitoring a network of the scene according to the current monitoring index information of the cell covering the scene and the dynamic index threshold.
It should be noted that, the historical monitoring index information in the cell specified time period covering the scene is obtained, specifically, the cell covering the scene may be associated with the monitoring index information of the recent background through an identifier (i.e., an ECI) of the cell, and then, the historical monitoring index information in the cell specified time period covering the scene is obtained in the background.
In addition, the dynamic indicator threshold is determined according to the historical monitoring indicator information in the cell designated time period covering the scene, specifically, the average value and the variance of the historical monitoring indicator information in the cell designated time period covering the scene are determined, and it is assumed that the monitoring indicator information is key performance indicator information (i.e., KPI) and KPI exists in a certain KPI week1、KPI2、KPI3、…、KPInIf n KPI values are total, determining KPI first 1To KPInSum, and then determining KPI1To KPInThe sum is compared with n to determine the KPI mean value, and the KPI mean value and the KPI in one week are determined1、KPI2、KPI3、…、KPInDetermining historical monitoring indicator information over a specified time period of a cell covering the sceneAnd determining a dynamic index threshold according to the average value and the variance of the historical monitoring index information in the cell designated time period covering the scene, and continuing the above example, determining the sum of the average value and the N times of variance of the historical monitoring index information in the cell designated time period covering the scene as the upper limit of the dynamic index threshold, and determining the difference between the average value and the N times of variance of the historical monitoring index information in the cell designated time period covering the scene as the lower limit of the dynamic index threshold, wherein N is a positive integer.
It should be noted that the sum of the average value and the N-fold variance of the historical monitoring index information in the cell designated time period covering the scene is specifically applicable to index items in which the quality of indexes such as a drop rate in a key performance index is inversely proportional to a numerical value. And the difference between the average value and the N-fold variance of the historical monitoring index information in the designated time period of the cell covering the scene is particularly suitable for an index item in which the quality of the index in the key performance index is in inverse proportion to the value.
In this embodiment of the present specification, a network of the scene is monitored according to the current monitoring index information of the cell covering the scene and the dynamic index threshold, specifically, when the current monitoring index information of the cell covering the scene is located within the dynamic index threshold, it is described that there is no problem in the quality of the mobile internet in the scene, and when the current monitoring index information of the cell covering the scene exceeds the dynamic index threshold, it is described that there is a problem in the quality of the mobile internet in the scene, an early warning is issued, and a relevant person is notified to overhaul.
The second embodiment: and monitoring the network of the scene according to the current monitoring index information of the cell covering the scene and a preset absolute threshold of the degradation index.
It should be noted here that a preset absolute threshold of degradation indicators may be set according to an actual situation, when the current monitoring indicator information of the cell covering the scene exceeds the preset absolute threshold of degradation indicators, it is indicated that there is no problem in the quality of the mobile internet in the scene, and when the current monitoring indicator information of the cell covering the scene does not exceed the preset absolute threshold of degradation indicators, it is indicated that there is a problem in the quality of the mobile internet in the scene, and an early warning is issued to notify relevant personnel of maintenance. In addition, the two modes can be used simultaneously, the mobile internet in the scene is more accurately monitored through the two thresholds, a double-insurance monitoring early warning threshold is formed, the history and the current situation of the scene network coverage and the related performance indexes can be efficiently and accurately mastered, and the scene traffic growth situation is predicted according to the history and the current situation.
Finally, the monitoring results can be presented in conjunction with a geographic information system and a statistical system.
According to the method, the selection of the scene and the determination of the cells in the scene are automatically processed through the platform, the accuracy and the efficiency of a mobile network for monitoring the scene are greatly improved compared with a scene monitoring mode in the prior art, and meanwhile, compared with the scene monitoring mode in the prior art, the method solves the automation and the dynamism of the whole scene monitoring process in the actual production process, saves manpower and material resources, and has strong portability. In addition, the method has the advantages of wide scene selection range, high accuracy of the coverage cells in the scene, high analysis efficiency, capability of rapidly finishing data processing by a big data processing technology, capability of further developing the dynamic monitoring of manually selecting any scene from the fixed dynamic monitoring of the scene, and important means for realizing the guarantee prediction and monitoring of important festivals and important activity areas.
Based on the foregoing, a method for scene-oriented network monitoring provided in an embodiment of the present application provides a device for scene-oriented network monitoring, as shown in fig. 2, where the device includes:
The acquisition module 201 is configured to acquire current user network information, monitoring index information, and geographical map layer information in a specified area;
an identifying module 202, configured to identify a scene in the designated area according to the geographical map layer;
a determining module 203, configured to determine, according to the user network information, a cell covering the scene;
and the monitoring module 204 is configured to monitor the network of the scene according to the current monitoring index information of the cell covering the scene.
The identifying module 202 is specifically configured to identify a scene boundary layer in the designated area in the geographic layer by using a web crawler technology, and determine a scene in the designated area according to the identified scene boundary layer in the designated area.
The determining module 203 is specifically configured to determine location information of a user according to the user network information, determine whether the user network information is located in the scene according to the location information of the user and the scene boundary layer of the scene, and when the user network information is located in the scene, analyze the user network information to obtain a cell covering the scene.
The user network information includes: user signaling information and user measurement report information;
The determining module 203 is specifically configured to determine location information of a user according to the user signaling information, determine the user measurement report information corresponding to the user signaling information according to a user identifier in the user signaling information, determine the user measurement report information including the location information according to the location information of the user, determine whether the user measurement report information is located in the scene according to the user measurement report information including the location information and a scene boundary layer of the scene, and when the user measurement report information is located in the scene, analyze the user measurement report information to obtain a cell covering the scene.
The monitoring module 204 is specifically configured to obtain historical monitoring index information in a cell specified time period covering the scene, determine a dynamic index threshold according to the historical monitoring index information in the cell specified time period covering the scene, and monitor a network of the scene according to the current monitoring index information of the cell covering the scene and the dynamic index threshold.
The monitoring module 204 is specifically configured to monitor the network of the scene according to the current monitoring index information of the cell covering the scene and a preset degradation index absolute threshold.
The monitoring index information includes: key performance indicator information, and/or key quality indicator information.
The embodiment of the application also provides a nonvolatile computer storage medium, wherein the computer storage medium stores at least one executable instruction, and the computer executable instruction can execute the face recognition sample processing method in any method embodiment.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and the specific embodiment of the present invention does not limit the specific implementation of the electronic device.
As shown in fig. 3, the server may include: a processor (processor)302, a communication Interface 304, a memory 306, and a communication bus 308.
Wherein:
the processor 302, communication interface 304, and memory 306 communicate with each other via a communication bus 308.
A communication interface 304 for communicating with network elements of other devices, such as clients or other servers.
The processor 302 is configured to execute the program 310, and may specifically execute relevant steps in the foregoing scenario-oriented network monitoring method embodiment.
In particular, program 310 may include program code comprising computer operating instructions.
The processor 302 may be a central processing unit CPU, or an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits configured to implement an embodiment of the present invention. The electronic device comprises one or more processors, which can be the same type of processor, such as one or more CPUs; or may be different types of processors such as one or more CPUs and one or more ASICs.
And a memory 306 for storing a program 310. Memory 306 may comprise high-speed RAM memory and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 310 may specifically be configured to cause the processor 302 to perform the following operations:
acquiring current user network information, monitoring index information and geographical map layer information in a designated area;
identifying scenes in the designated area according to the geographical map layer;
determining a cell covering the scene according to the user network information;
and monitoring the network of the scene according to the current monitoring index information of the cell covering the scene.
Optionally, the program 310 may also be for causing the processor 302 to:
And identifying a scene boundary layer in the designated area in the geographic layer by a web crawler technology, and determining a scene in the designated area according to the identified scene boundary layer in the designated area.
Optionally, the program 310 may also be for causing the processor 302 to:
and determining the position information of the user according to the user network information, determining whether the user network information is positioned in the scene or not according to the position information of the user and the scene boundary layer of the scene, and analyzing the user network information to obtain a cell covering the scene when the user network information is positioned in the scene.
Optionally, the program 310 may also be for causing the processor 302 to:
the user network information includes: user signaling information and user measurement report information; determining the position information of a user according to the user signaling information, determining the user measurement report information corresponding to the user signaling information according to a user identifier in the user signaling information, determining the user measurement report information containing the position information according to the position information of the user, determining whether the user measurement report information is located in the scene or not according to the user measurement report information containing the position information and a scene boundary layer of the scene, and analyzing the user measurement report information to obtain a cell covering the scene when the user measurement report information is located in the scene.
Optionally, the program 310 may also be for causing the processor 302 to:
obtaining historical monitoring index information in a cell appointed time period covering the scene, determining a dynamic index threshold according to the historical monitoring index information in the cell appointed time period covering the scene, and monitoring a network of the scene according to the current monitoring index information of the cell covering the scene and the dynamic index threshold.
Optionally, the program 310 may also be for causing the processor 302 to:
and monitoring the network of the scene according to the current monitoring index information of the cell covering the scene and a preset absolute threshold of the degradation index.
Optionally, the program 310 may also be for causing the processor 302 to:
the monitoring index information includes: key performance indicator information, and/or key quality indicator information. The algorithms and displays presented herein are not inherently related to any particular computer, virtual machine, or other apparatus. Various general purpose systems may also be used with the teachings herein. The required structure for constructing such a system will be apparent from the description above. Moreover, the present invention is not directed to any particular programming language. It is appreciated that a variety of programming languages may be used to implement the teachings of the present invention as described herein, and any descriptions of specific languages are provided above to disclose the best mode of the invention.
In the description provided herein, numerous specific details are set forth. It is understood, however, that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that the invention as claimed requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments may be used in any combination.
The various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functionality of some or all of the components in a scenario-oriented network monitoring device according to embodiments of the present invention. The present invention may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present invention may be stored on computer-readable media or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.

Claims (10)

1. A scene-oriented network monitoring method comprises the following steps:
acquiring current user network information, monitoring index information and geographical map layer information in a designated area;
identifying scenes in the designated area according to the geographical map layer;
Determining a cell covering the scene according to the user network information;
and monitoring the network of the scene according to the current monitoring index information of the cell covering the scene.
2. The method according to claim 1, wherein identifying the scene in the designated area according to the geographical map layer specifically includes:
identifying a scene boundary map layer in the designated area in the geographic map layer by a web crawler technology;
and determining the scene in the designated area according to the identified scene boundary layer in the designated area.
3. The method according to claim 2, wherein determining the cell covering the scene according to the user network information specifically includes:
determining the position information of the user according to the user network information;
determining whether the user network information is located in the scene or not according to the position information of the user and the scene boundary layer of the scene;
and when the user network information is positioned in the scene, analyzing the user network information to obtain a cell covering the scene.
4. The method of claim 3, the user network information comprising: user signaling information and user measurement report information;
Determining the location information of the user according to the user network information, which specifically comprises:
determining the position information of the user according to the user signaling information;
determining whether the user network information is located in the scene according to the position information of the user and the scene boundary layer of the scene, specifically including:
determining the user measurement report information corresponding to the user signaling information according to the user identification in the user signaling information;
determining user measurement report information containing the position information according to the position information of the user;
determining whether the user measurement report information is located in the scene according to the user measurement report information containing the position information and the scene boundary layer of the scene;
when the user network information is located in the scene, analyzing the user network information to obtain a cell covering the scene, specifically including:
and when the user measurement report information is positioned in the scene, analyzing the user measurement report information to obtain a cell covering the scene.
5. The method according to claim 1, wherein monitoring the network of the scene according to the current monitoring index information of the cell covering the scene specifically includes:
Acquiring historical monitoring index information in a cell designated time period covering the scene;
determining a dynamic index threshold according to historical monitoring index information in a specified time period of a cell covering the scene;
and monitoring the network of the scene according to the current monitoring index information of the cell covering the scene and the dynamic index threshold.
6. The method according to claim 5, wherein monitoring the network of the scene according to the current monitoring index information of the cell covering the scene specifically includes:
and monitoring the network of the scene according to the current monitoring index information of the cell covering the scene and a preset absolute threshold of the degradation index.
7. The method according to any one of claims 1 to 6, wherein the monitoring index information includes: key performance indicator information, and/or key quality indicator information.
8. A scenario-oriented network monitoring apparatus, comprising:
the acquisition module is used for acquiring current user network information, monitoring index information and geographical map layer information in a specified area;
the identification module is used for identifying the scene in the designated area according to the geographical map layer;
a determining module, configured to determine, according to the user network information, a cell covering the scene;
And the monitoring module is used for monitoring the network of the scene according to the current monitoring index information of the cell covering the scene.
9. An electronic device, comprising: the system comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete mutual communication through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction causes the processor to execute the operation corresponding to the scene-oriented network monitoring method according to any one of claims 1-7.
10. A storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the scenario-oriented network monitoring method of any one of claims 1-7.
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