CN115580890B - Method, device and terminal equipment for positioning end-to-end fault of mobile network - Google Patents
Method, device and terminal equipment for positioning end-to-end fault of mobile network Download PDFInfo
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- H04L41/06—Management of faults, events, alarms or notifications
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- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
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Abstract
The application is applicable to the technical field of fault location, and provides a method, a device and a terminal device for locating an end-to-end fault of a mobile network, wherein the method comprises the following steps: acquiring data information, user perception information, user position information and time for submitting perception information by a user of a mobile network, wherein the mobile network comprises: the system comprises a terminal, a wireless terminal, a transmission terminal, a core network terminal and a service SP terminal; mobile network data comprising: terminal data, wireless end data, transmission end data, core network end data, service SP end data, terminal response delay of experience users to be promoted and terminal response delay of other users; establishing an end-to-end correlation model based on the data information of the mobile network, wherein the end-to-end correlation model represents the relation between the middle end and the end of the mobile network; and obtaining the fault position based on the mobile network data information, the user perception information, the user position information, the time for submitting the perception information by the user and the end-to-end correlation model. The method and the device can quickly locate the fault position by utilizing the end-to-end relation of the mobile network.
Description
Technical Field
The application belongs to the technical field of fault location, and particularly relates to a method and a device for locating an end-to-end fault of a mobile network and terminal equipment.
Background
The user can have the condition of poor user experience in the process of using the network, when the user reports complaints, the complaints need to be processed according to the customer, the problem of poor user experience is solved as soon as possible, and the experience of the user in using the network is improved.
In a mobile network, a phenomenon of poor user experience is caused, a plurality of reasons exist, the traditional mobile network has slow fault location between ends to ends, and some fault location modes still remain in a manual inspection mode.
Disclosure of Invention
The embodiment of the application provides a method, a device and a terminal device for locating an end-to-end fault of a mobile network, so as to quickly locate the position of the end-to-end fault of the mobile network.
The application is realized by the following technical scheme:
in a first aspect, an embodiment of the present application provides an end-to-end fault location method for a mobile network, including:
acquiring data information, user perception information, user position information and time for submitting perception information by a user of a mobile network, wherein the mobile network comprises: the system comprises a terminal, a wireless terminal, a transmission terminal, a core network terminal and a service SP terminal; mobile network data comprising: terminal data, wireless end data, transmission end data, core network end data, service SP end data, terminal response delay of the experience user to be promoted and terminal response delay of other users.
And establishing an end-to-end association model based on the data information of the mobile network, wherein the end-to-end association model represents the relation between the terminals in the mobile network.
And obtaining the fault position based on the mobile network data information, the user perception information, the user position information, the time for the user to submit the perception information and the end-to-end correlation model.
Obtaining a fault position based on mobile network data information, user perception information, user position information, time for submitting perception information by a user and an end-to-end correlation model, and specifically comprising the following steps:
and establishing a work resident user model and a rest resident user model based on the mobile network data information. And judging the user type based on the time when the user submits the sensing information, the user position information, the work resident user model and the rest resident user model to obtain first fault information, wherein the first fault information represents fault information between the terminal and the wireless terminal. And obtaining second fault information based on the mobile network data information and the end-to-end correlation model, wherein the second fault information represents fault information between the wireless end and the transmission end. And obtaining third fault information based on the terminal response delay of the experience user to be promoted, the terminal response delays of other users and the end-to-end correlation model, wherein the third fault information represents fault information between the transmission end and the core network end and fault information between the core network end and the service SP end. And obtaining a fault position based on the first fault information, the second fault information and the third fault information.
With reference to the first aspect, in some possible implementations, the work resident user model is: greater than or equal to three days a week, users in the wireless end appear from working day 8 to 18.
With reference to the first aspect, in some possible implementations, the rest resident user model is: the users who appear in the wireless terminal from weekday 18 to next day 6 are present on weekends of a week or more than or equal to three days of a week.
With reference to the first aspect, in some possible implementation manners, obtaining the second fault information based on the mobile network data information and the end-to-end association model specifically includes:
and matching the wireless end data with the transmission end data, and determining whether the wireless end data and the transmission end data are within a first specified error to obtain a first error matching result. And obtaining second fault information based on the error matching result and the end-to-end correlation model.
With reference to the first aspect, in some possible implementation manners, the obtaining third fault information based on the terminal response delay of the experience user to be promoted, the terminal response delays of other users, and the end-to-end correlation model specifically includes:
and calculating whether the terminal response of the experience user to be promoted is within a second specified error or not based on the terminal response delay and the end-to-end correlation model of the experience user to be promoted to obtain a second error matching result. And calculating whether the terminal response delay of the other users is within a third specified error or not based on the terminal response delay of the other users and the end-to-end correlation model to obtain a third error matching result. And obtaining third fault information based on the second error matching result and the third error matching result.
With reference to the first aspect, in some possible implementation manners, obtaining third fault information based on the second error matching result and the third error matching result specifically includes:
and when the second error matching result is within the second specified error and the third error matching result is within the third specified error, no fault exists. When the second error matching result is not within the second specified error and the third error matching result is within the third specified error, a fault occurs between the transmission end and the core network end. And when the second error matching result is not within the second specified error and the third error matching result is not within the third specified error, the fault occurs between the core network end and the service SP end.
In a second aspect, an embodiment of the present application provides an end-to-end fault location apparatus for a mobile network, including:
an obtaining module, configured to obtain data information, user perception information, user location information, and time when a user submits perception information of a mobile network, where the mobile network includes: terminal, wireless end, transmission end, core network end and business SP end, mobile network data includes: terminal data, wireless end data, transmission end data, core network end data, service SP end data, terminal response delay of the experience user to be promoted and terminal response delay of other users.
And the modeling module is used for establishing an end-to-end correlation model based on the mobile network data information, and the end-to-end correlation model represents the relation between the middle end and the end of the mobile network.
And the fault determining module is used for obtaining a fault position based on the mobile network data information, the user perception information, the user position information, the time for the user to submit the perception information and the end-to-end correlation model.
In a third aspect, an embodiment of the present application provides a terminal device, including: a processor and a memory for storing a computer program, the processor when executing the computer program implementing a mobile network end-to-end fault location method according to any of the first aspect.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored, and when executed by a processor, the computer program implements the method for locating an end-to-end fault of a mobile network according to any one of the first aspect.
In a fifth aspect, an embodiment of the present application provides a computer program product, which, when running on a terminal device, causes the terminal device to execute the method for locating an end-to-end fault of a mobile network according to any one of the above first aspects.
It is understood that the beneficial effects of the second aspect to the fifth aspect can be referred to the related description of the first aspect, and are not described herein again.
Compared with the prior art, the embodiment of the application has the advantages that:
according to the method, an end-to-end correlation model is established according to data information in a mobile network, the data information in the mobile network is connected between an end and an end, when a user submits and feels that network experience is poor, first fault information, second fault information and third fault information can be quickly obtained according to the user perception information, the user position information, the time when the user submits the perception information and the end-to-end correlation model, the specific position of a fault can be obtained according to the first fault information, the second fault information and the third fault information, when the fault occurs in multiple places, the method can also obtain multiple positions with faults according to the first fault information, the second fault information and the third fault information, so that maintenance personnel can quickly process the fault, and the experience of the user is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the specification.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic view of an application scenario of a method for locating an end-to-end fault of a mobile network according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a method for locating an end-to-end fault of a mobile network according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of an end-to-end fault location apparatus for a mobile network according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a terminal device according to an embodiment of the present application.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It should also be understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to" determining "or" in response to detecting ". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
Furthermore, in the description of the present application and the appended claims, the terms "first," "second," "third," and the like are used for distinguishing between descriptions and not necessarily for describing or implying relative importance.
Reference throughout this specification to "one embodiment" or "some embodiments," or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," or the like, in various places throughout this specification are not necessarily all referring to the same embodiment, but rather "one or more but not all embodiments" unless specifically stated otherwise. The terms "comprising," "including," "having," and variations thereof mean "including, but not limited to," unless expressly specified otherwise.
For example, the embodiment of the present application can be applied to the exemplary scenario shown in fig. 1. In this scenario, the mobile network end-to-end data obtaining device 10 is configured to obtain mobile network data information, user perception information, user location information, and time for a user to submit perception information, and input the obtained information into the mobile network end-to-end fault location device 20, and the mobile network end-to-end fault location device 20 obtains faults occurring between different end-to-end of the mobile network based on various information obtained by the mobile network end-to-end data obtaining device 10.
The mobile network end-to-end fault location method of the present application is described in detail below with reference to fig. 1.
Fig. 2 is a schematic flow chart of a method for locating an end-to-end fault of a mobile network according to an embodiment of the present application, and with reference to fig. 2, the method for locating an end-to-end fault of a mobile network is described in detail as follows:
Illustratively, the mobile network comprises: the system comprises a terminal, a wireless terminal, a transmission terminal, a core network terminal and a service SP terminal.
Illustratively, the mobile web data includes: terminal data, wireless end data, transmission end data, core network end data, service SP end data, terminal response delay of the experience user to be promoted and terminal response delay of other users.
Specifically, taking a cell as an example, the mobile network data mainly collected includes: MR data, KPI data, alarm data and engineering parameter data. The MR data is used to provide coverage data analysis including weak coverage, overlapping coverage, and over coverage. KPI data is used to provide capacity class and interference class data analysis. The alarm data is used to provide alarm class data analysis. The parameters are used to provide basic information such as azimuth, downtilt, scene, etc.
And 102, establishing an end-to-end correlation model based on the mobile network data information, wherein the end-to-end correlation model represents the relation between the middle end and the end of the mobile network.
Specifically, the end-to-end association model is terminal-wireless terminal-transmission terminal-core network terminal-service SP terminal, and the end-to-end association model is different for different users, where the terminal is a device of a user and the wireless terminal is a wireless network where a user device in a base station of the wireless terminal is located.
And 103, obtaining a fault position based on the mobile network data information, the user perception information, the user position information, the time for the user to submit the perception information and the end-to-end correlation model.
Illustratively, the obtaining of the fault location based on the mobile network data information, the user perception information, the user location information, the time when the user submits the perception information, and the end-to-end correlation model specifically includes:
step A1, based on the mobile network data information, a work resident user model and a rest resident user model are established.
And step A2, judging the user type based on the time when the user submits the sensing information, the user position information, the work resident user model and the rest resident user model to obtain first fault information, wherein the first fault information represents the fault information between the terminal and the wireless terminal.
And A3, obtaining second fault information based on the mobile network data information and the end-to-end correlation model, wherein the second fault information represents fault information between the wireless end and the transmission end.
And step A4, obtaining third fault information based on the terminal response delay of the experience user to be promoted, the terminal response delays of other users and an end-to-end correlation model, wherein the third fault information represents fault information between the transmission end and the core network end and fault information between the core network end and the service SP end.
And A5, obtaining a fault position based on the first fault information, the second fault information and the third fault information.
Specifically, the first failure information indicates failure information between the terminal and the wireless terminal, including a location of a failure, a failure that may occur, and the like. The second failure information represents failure information between the wireless terminal and the transmission terminal, including the location of the failure, a possible failure, and the like. The third fault information represents fault information between the transmission end and the core network end and fault information between the core network end and the service SP end, wherein the fault information includes a fault position, a fault which may occur and the like.
Illustratively, the work resident user model is: greater than or equal to three days a week, users in the wireless end appear from working day 8 to 18.
Illustratively, the rest resident user model is: the users who appear in the wireless terminal from weekday 18 to next day 6 are present on weekends of a week or more than or equal to three days of a week.
Illustratively, the obtaining the second fault information based on the mobile network data information and the end-to-end association model specifically includes: and matching the wireless end data with the transmission end data, and determining whether the wireless end data and the transmission end data are within a first specified error to obtain a first error matching result. And obtaining second fault information based on the error matching result and the end-to-end correlation model.
Illustratively, the obtaining of the third fault information based on the terminal response delay of the experience user to be promoted, the terminal response delays of other users, and the end-to-end correlation model specifically includes: and calculating whether the terminal response of the experience user to be promoted is within a second specified error or not based on the terminal response delay and the end-to-end correlation model of the experience user to be promoted to obtain a second error matching result. And calculating whether the terminal response delay of the other users is within a third specified error or not based on the terminal response delay of the other users and the end-to-end correlation model to obtain a third error matching result. And obtaining third fault information based on the second error matching result and the third error matching result.
Illustratively, obtaining the third fault information based on the second error matching result and the third error matching result specifically includes: and when the second error matching result is within the second specified error and the third error matching result is within the third specified error, no fault exists. When the second error matching result is not within the second prescribed error and the third error matching result is within the third prescribed error, then a failure occurs between the transmission end and the core network end. And when the second error matching result is not within the second specified error and the third error matching result is not within the third specified error, the fault occurs between the core network end and the service SP end.
According to the method for positioning the end-to-end fault of the mobile network, the end-to-end correlation model is established according to the data information in the mobile network, the relation between the end and the data information in the mobile network is established, when a user submits and feels that the network experience is poor, the fault area in the mobile network can be quickly positioned according to the user perception information, the user position information, the time for submitting the perception information by the user and the end-to-end correlation model, and further the specific position of the fault is obtained according to the first fault information, the second fault information and the third fault information, so that maintenance personnel can quickly process the fault, and the experience of the user is improved.
Specifically, the specific location of the fault includes a fault location in the first fault information, a fault location in the second fault information, and a fault location in the third fault information.
In some embodiments, when the user experiences poor experience, the problem may occur in the following four cases: between the terminal and the wireless terminal, between the wireless terminal and the transmission terminal, between the transmission terminal and the core network terminal, or between the core network terminal and the service SP terminal.
The terminals and the wireless terminals are connected in a one-to-one relationship, when a problem occurs in a certain network of the wireless terminals, the corresponding user will have a problem, for example, when the wireless network A has a problem, the experience of receiving the complaint of the client at 10 am on monday is poor, the information of other users in the working resident user model can be checked, and whether the wireless network A has a fault or not can be confirmed.
The factors that the wireless terminal affects the user experience include: coverage, capacity, interference, and equipment failure.
The coverage class factors mentioned above are: weak coverage, overlapping coverage, and over coverage.
Taking a cell as an example, the average RSRP of the cell is the average RSRP of all sampling points at the cell level, and the average TA distance is the average coverage distance of the cell.
And (3) adopting the number of points less than or equal to-110 db/total sampling point number in the MR data, and judging the weak coverage of the cell if the R proportion is more than or equal to 20%.
And according to the sample points reported by the cells, counting the proportion of the sample points of which the level difference between the adjacent cell measured in the sample points and the level difference between the main cell is more than-6 dB and the number of the adjacent cells meeting the conditions is more than or equal to 3. And if the proportion is more than or equal to 20 percent, judging the cells to be overlapped (note: the RSRP of the main cell requiring the sampling point is more than-110 dBm, and distinguishing frequency points BAND1, BAND3 and L800M).
And defining the number of the over-covered adjacent cells according to the over-covering specification definition, and judging that the cell is over-covered when the number of the over-covered adjacent cells is more than 12.
The solution of weak coverage is: when the weak coverage ratio is between (0%, 20% >), it is judged whether the cell average RSRP is equal to or less than-105, and for cells equal to or less than-105, it is judged whether the downtilt angle is equal to or greater than 5 °, if equal to or greater than 5 °, the downtilt angle is reduced by 2 ° or the power is doubled, and for the case less than 5 °, the power is doubled.
When the weak coverage ratio is between (20%, 40% ]), it is judged whether or not the down tilt is 5 ° or more, and if 5 ° or more, the down tilt is reduced by 2 ° or the power is raised by one time, the boost3db is increased, and the power is raised by one time for the case of less than 5 °.
When the weak coverage ratio is between (40%, 60%), judging whether the average TA distance is less than or equal to 1km, when the average TA distance is more than 1km, judging whether the down dip angle is more than or equal to 7 degrees, reducing the down dip angle by 4 degrees or increasing the power by one time, increasing boost3db, when the average TA distance is less than or equal to 1km, judging whether the down dip angle is more than or equal to 7 degrees, reducing the down dip angle by 6 degrees or increasing the power by one time, increasing boost3db, when the average TA distance is less than or equal to 1km, increasing the power by one time, and when the average TA distance is less than or equal to 7 degrees, decreasing the down dip angle by 6 degrees or increasing the power by one time, increasing the boost3db, when the average TA distance is less than or equal to 1 km.
When the weak coverage ratio is between (60%, 100%), judging whether the average TA distance is less than or equal to 1km, when the average TA distance is more than 1km, judging whether the down dip angle is more than or equal to 7 degrees, reducing the down dip angle by 6 degrees or increasing the power by one time, increasing boost3db, when the average TA distance is less than or equal to 1km, increasing the power by one time, and when the average TA distance is less than or equal to 1km, reducing the down dip angle by 6 degrees or increasing the power by one time, increasing the boost3db, and when the average TA distance is less than or equal to 7 degrees.
The solution of overlapping coverage is: for an overlapping coverage (6 db) of 20 or more, the surrounding base stations RF are optimized.
The solution of the over-covering is as follows: judging whether the down inclination angle is less than 7 degrees or not, and if the down inclination angle is less than 7 degrees, increasing the down inclination angle by 3 degrees or reducing the power by one time; when the angle is greater than or equal to 7 degrees, the power is reduced by one time.
For capacity factors, take LTE 1.8G/2.1G cell as an example: the average utilization rate of the uplink PRB is more than or equal to 50%, and the problem of the cell capacity is judged; the average utilization rate of the downlink PRB is more than or equal to 50%, and the problem of the cell capacity is judged; the average number (number) of RRC connection users is more than or equal to 200, and the problem of the cell capacity is judged; judging that the cell capacity is in problem when the downlink user plane flow (GB) is more than or equal to 8 GB; and the uplink user plane flow (GB) is more than or equal to 2GB, and the problem of the cell capacity is judged.
The solution of the capacity factor is as follows: the method comprises the following steps of identifying cells of each frequency band of LTE800M, 1.8G and 2.1G through eNB ID + Cell ID, setting different judgment thresholds according to the bandwidth of each frequency band, wherein the judgment thresholds are divided into two grades of early warning and alarming, and according to four solving means of grade matching of the judgment thresholds: (1) one index achieves early warning and is closely observed. (2) The two indexes reach early warning, and the coverage area of the cell is optimized by antenna feeder/power adjustment, if the effect is not obvious, carrier expansion is carried out or a base station is newly built. (3) And when the three standards reach early warning, cell splitting, carrier frequency expansion or new base station shunting telephone traffic are carried out. (4) And when the capacity expansion standard is reached, cell splitting, carrier frequency capacity expansion or newly-built base station shunting telephone traffic are carried out.
For the interference factor, there are downlink modulo three interference and uplink interference. Taking a cell as an example: the downlink mode three-interference needs to simultaneously satisfy the following three conditions: the primary adjacent cells have the same frequency, ltencrsrp-ltescrsrp > -6 and PCI modulo three equal. In the same MR, the adjacent region and the main cell do not have the condition of three equal modules and meet ltencrcrp-ltescrcrp > -6, the numerator is marked as 0, and the denominator is marked as the total number of the adjacent regions of the MR. And if the mode three interference ratio is more than or equal to 40%, judging the mode three interference of the cell. And regarding the cell with PUCCH _ RSSI being equal to or more than-95 as the existence of uplink interference.
The solution of the downlink mode three-interference problem comprises the following steps: firstly, judging whether the MOD3 interference proportion is greater than 20%, if the MOD3 interference proportion is not greater than 20%, adjusting, and if the MOD3 interference proportion is not greater than 20%, performing PCI planning operation on the situations that the proportion is 20% -50% and the proportion is 50% -100%, matching out the strongest interference to obtain a PCI adjustment suggestion, and solving the problem of downlink modulo three interference.
For the equipment failure factor, there are a local station failure and an adjacent base station failure. The local station fault and the adjacent base station fault are screened by equipment warning codes, and the adjacent base station division principle is as follows: the radius in the dense urban area is 700 meters; the radius in the urban area is within 1000 meters; the radius in county and city is 1500 m; the radius in rural areas in mountainous areas is 4000 meters; the radius in the plain rural area is 4000 meters.
For equipment failure, the equipment failure needs to be associated with a corresponding equipment unit for failure processing.
When the fault between the wireless terminal and the transmission terminal is checked, the data of the transmission terminal and the data of the wireless terminal in a certain time period can be collected, the data of the wireless terminal and the data of the transmission terminal are matched to obtain matched data, the perception indexes of the transmission terminal and the wireless terminal are determined according to the matched data, and whether the fault exists between the wireless terminal and the transmission terminal is determined according to the perception indexes. A base station at one radio end may have multiple IPs associated with the transmission end, and when the transmission end fails, it will affect the base station at its associated radio end. Thereby affecting many wireless networks in the base station of the wireless end.
When a fault between the transmission end and the core network end or a fault between the core network end and the service SP end is detected, the two ends need to be considered together, because there is no one-to-one association between the transmission end and the core network end and there is no one-to-one association between the core network end and the service SP end.
The core network end comprises a plurality of functional device pools, when one device pool has a problem, the device pool can be automatically switched to other functional device pools to solve the problem, but the problem solved by the device pool is not necessarily improved in user experience, for example, for response delay of an APP, delay of sending the functional device pool a and delay of sending the functional device pool B to different user terminals are consistent. When the functional device pool A corresponding to the user A has a problem, the user A cannot use the network for use, the core network end automatically replaces the functional device pool B with the functional device pool A at the moment, but the network using delay of the user A is higher, and the user B corresponding to the user A using the functional device pool B cannot have the problem of high network delay, so that the terminal response delay of the two users is compared to determine which functional device pool between the transmission end and the core network end has the fault. When experience of all users of an APP is decreased (when network delay is high), it may be determined that a fault occurs between a core network end and a service SP end, for example, a server of a certain APP is fixed to provide service to the whole country through a location a, and when a device of a location a fails and a device automatically switched to a location B provides service to the whole country, because of a difference in distance between the APP server and the A, B device, a situation in which network delay of all users of the APP is increased occurs, which affects user experience.
In a specific embodiment, the present application further includes a mobile network end-to-end fault location system, where the system may present cells with poor experience in a list manner, may retrieve a single Cell by eNB ID + Cell ID + date, and may screen a certain type of cells by screening according to dimensions such as city, coverage hotspot type, hotspot name, and quality difference reason. The system can be used for presenting and backtracking the coverage factor data, the capacity factor data, the interference factor data and the equipment fault data in real time, and can backtrack the data 7 days ago at most.
Compared with the traditional fault positioning scheme, the novel characteristic of the scheme is smaller in fault range, more beneficial to positioning faults and timely repairing faults. The utility model provides a scheme's practicality lies in, masses can be according to this scheme fault location more fast when obtaining this scheme, can be used by masses.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Fig. 3 shows a structural block diagram of an end-to-end fault location apparatus for a mobile network according to the embodiment of the present application, and for convenience of description, only the parts related to the embodiment of the present application are shown.
Referring to fig. 3, an end-to-end fault location apparatus of a mobile network in an embodiment of the present application may include: an acquisition module 301, a modeling module 302, and a fault determination module 303.
Optionally, the obtaining module 301 is configured to obtain mobile network data information, user perception information, user location information, and time when the user submits the perception information.
Illustratively, a mobile network comprises: the system comprises a terminal, a wireless terminal, a transmission terminal, a core network terminal and a service SP terminal.
Illustratively, the mobile web data includes: terminal data, wireless end data, transmission end data, core network end data, service SP end data, terminal response delay of the experience user to be promoted and terminal response delay of other users.
Optionally, the modeling module 302 is configured to establish an end-to-end association model based on the mobile network data information, where the end-to-end association model represents a relationship between an end and a terminal in the mobile network.
Optionally, the fault determining module 303 is configured to obtain a fault location based on the mobile network data information, the user sensing information, the user location information, the time when the user submits the sensing information, and the end-to-end association model.
Illustratively, the fault determining module 303 is specifically configured to: and establishing a work resident user model and a rest resident user model based on the mobile network data information. And judging the user type based on the time when the user submits the sensing information, the user position information, the work resident user model and the rest resident user model to obtain first fault information, wherein the first fault information represents fault information between the terminal and the wireless terminal. And obtaining second fault information based on the mobile network data information and the end-to-end correlation model, wherein the second fault information represents fault information between the wireless end and the transmission end. And obtaining third fault information based on the terminal response delay of the experience user to be improved, the terminal response delays of other users and the end-to-end correlation model, wherein the third fault information represents fault information between the transmission end and the core network end and fault information between the core network end and the service SP end. And obtaining a fault position based on the first fault information, the second fault information and the third fault information.
Illustratively, the work resident user model is: greater than or equal to three days a week, users in the wireless end appear from working day 8 to 18.
Illustratively, the rest resident user model is: the users who appear in the wireless terminal from weekday 18 to next day 6 are present on weekends of a week or more than or equal to three days of a week.
Illustratively, the fault determining module 303 is further specifically configured to: and matching the wireless end data with the transmission end data, and determining whether the wireless end data and the transmission end data are within a first specified error to obtain a first error matching result. And obtaining second fault information based on the error matching result and the end-to-end correlation model.
Illustratively, the fault determining module 303 is further specifically configured to: and calculating whether the terminal response of the experience user to be promoted is within a second specified error or not based on the terminal response delay and the end-to-end correlation model of the experience user to be promoted to obtain a second error matching result. And calculating whether the terminal response delay of the other users is within a third specified error or not based on the terminal response delay of the other users and the end-to-end correlation model to obtain a third error matching result. And obtaining third fault information based on the second error matching result and the third error matching result.
Illustratively, the fault determining module 303 is further specifically configured to: and when the second error matching result is within the second specified error and the third error matching result is within the third specified error, no fault exists. When the second error matching result is not within the second specified error and the third error matching result is within the third specified error, a fault occurs between the transmission end and the core network end. And when the second error matching result is not within the second specified error and the third error matching result is not within the third specified error, the fault occurs between the core network end and the service SP end.
It should be noted that, for the information interaction, execution process, and other contents between the above-mentioned devices/units, the specific functions and technical effects thereof are based on the same concept as those of the embodiment of the method of the present application, and specific reference may be made to the part of the embodiment of the method, which is not described herein again.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
An embodiment of the present application further provides a terminal device, and referring to fig. 4, the terminal device 500 may include: at least one processor 510, a memory 520, the memory 520 being configured to store a computer program 521, the processor 510 being configured to call and execute the computer program 521 stored in the memory 520 to implement the steps in any of the method embodiments described above, for example, the steps 101 to 103 in the embodiment shown in fig. 2. Alternatively, the processor 510, when executing the computer program, implements the functions of the modules/units in the above-described device embodiments, such as the functions of the modules 301 to 303 shown in fig. 3.
Illustratively, the computer program 521 may be divided into one or more modules/units, which are stored in the memory 520 and executed by the processor 510 to accomplish the present application. The one or more modules/units may be a series of computer program segments capable of performing specific functions, which are used to describe the execution of the computer program in the terminal device 500.
Those skilled in the art will appreciate that fig. 4 is merely an example of a terminal device and is not limiting and may include more or fewer components than shown, or some components may be combined, or different components such as input output devices, network access devices, buses, etc.
Processor 510 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 520 may be an internal storage unit of the terminal device, or may be an external storage device of the terminal device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. The memory 520 is used for storing the computer programs and other programs and data required by the terminal device. The memory 520 may also be used to temporarily store data that has been output or is to be output.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
The method for locating the end-to-end fault of the mobile network provided by the embodiment of the application can be applied to terminal equipment such as computers, wearable equipment, vehicle-mounted equipment, tablet computers, notebook computers, netbooks and mobile phones, and the embodiment of the application does not limit the specific type of the terminal equipment.
The embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the computer program implements the steps in each embodiment of the method for locating an end-to-end fault of a mobile network.
The embodiment of the present application provides a computer program product, which, when running on a mobile terminal, enables the mobile terminal to implement the steps in each embodiment of the method for locating an end-to-end fault of a mobile network when executed.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium and can implement the steps of the embodiments of the methods described above when the computer program is executed by a processor. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include at least: any entity or device capable of carrying computer program code to a photographing apparatus/terminal apparatus, a recording medium, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), an electrical carrier signal, a telecommunications signal, and a software distribution medium. Such as a usb-disk, a removable hard disk, a magnetic or optical disk, etc.
In the above embodiments, the description of each embodiment has its own emphasis, and reference may be made to the related description of other embodiments for parts that are not described or recited in any embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus/network device and method may be implemented in other ways. For example, the above-described apparatus/network device embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above-mentioned embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (7)
1. An end-to-end fault location method for a mobile network, comprising:
acquiring data information, user perception information, user position information and time for submitting perception information by a user of a mobile network, wherein the mobile network comprises: the system comprises a terminal, a wireless terminal, a transmission terminal, a core network terminal and a service SP terminal; the mobile network data comprises: terminal data, wireless end data, transmission end data, core network end data, service SP end data, terminal response delay of experience users to be promoted and terminal response delay of other users;
establishing an end-to-end association model based on the mobile network data information, wherein the end-to-end association model represents the relation between the middle end and the end of the mobile network;
obtaining a fault position based on the mobile network data information, the user perception information, the user position information, the time for the user to submit the perception information and the end-to-end correlation model;
the obtaining of the fault location based on the mobile network data information, the user perception information, the user location information, the time when the user submits the perception information, and the end-to-end correlation model specifically includes:
establishing a work resident user model and a rest resident user model based on the mobile network data information;
judging the type of a user based on the time when the user submits perception information, the user position information, the work resident user model and the rest resident user model to obtain first fault information, wherein the first fault information represents fault information between a terminal and a wireless terminal;
obtaining second fault information based on the mobile network data information and the end-to-end correlation model, wherein the second fault information represents fault information between a wireless end and a transmission end;
obtaining third fault information based on the terminal response delay of the experience user to be promoted, the terminal response delays of other users and the end-to-end correlation model, wherein the third fault information represents fault information between a transmission end and a core network end and fault information between the core network end and a service SP end;
obtaining a fault position based on the first fault information, the second fault information and the third fault information;
the work resident user model is: users present in the wireless end from weekdays 8 through 18 on greater than or equal to three days a week;
the rest resident user model is: the end of the week or more than or equal to three days in the week, users who appeared in the wireless terminal from weekday 18 to the next day 6.
2. The method for locating a mobile network end-to-end fault according to claim 1, wherein the obtaining of the second fault information based on the mobile network data information and the end-to-end correlation model specifically includes:
matching the wireless end data with the transmission end data, and determining whether the wireless end data and the transmission end data are within a first specified error to obtain a first error matching result;
and obtaining second fault information based on the error matching result and the end-to-end correlation model.
3. The method for locating an end-to-end fault in a mobile network according to claim 1, wherein the obtaining of the third fault information based on the terminal response delay of the experience user to be promoted, the terminal response delays of other users, and the end-to-end correlation model specifically includes:
calculating whether the terminal response of the experience user to be promoted is within a second specified error or not based on the terminal response delay of the experience user to be promoted and the end-to-end correlation model to obtain a second error matching result;
calculating whether the terminal response delay of the other users is within a third specified error or not based on the terminal response delay of the other users and the end-to-end correlation model to obtain a third error matching result;
and obtaining third fault information based on the second error matching result and the third error matching result.
4. The method for end-to-end fault location in a mobile network according to claim 3, wherein the obtaining of the third fault information based on the second error matching result and the third error matching result specifically includes:
when the second error matching result is within a second specified error and the third error matching result is within a third specified error, no fault exists;
when the second error matching result is not within a second specified error and the third error matching result is within a third specified error, a fault occurs between the transmission end and the core network end;
and when the second error matching result is not within a second specified error and the third error matching result is not within a third specified error, the fault occurs between the core network end and the service SP end.
5. An end-to-end fault location device for a mobile network, comprising:
an obtaining module, configured to obtain data information of a mobile network, user perception information, user location information, and time when a user submits perception information, where the mobile network includes: the mobile network data comprises a terminal, a wireless terminal, a transmission terminal, a core network terminal and a service SP terminal, wherein the mobile network data comprises: terminal data, wireless end data, transmission end data, core network end data, service SP end data, terminal response delay of experience users to be promoted and terminal response delay of other users;
the modeling module is used for establishing an end-to-end correlation model based on the mobile network data information, and the end-to-end correlation model represents the relation between the terminals in the mobile network;
a fault determining module, configured to obtain a fault location based on the mobile network data information, the user awareness information, the user location information, time when the user submits awareness information, and the end-to-end correlation model;
the obtaining a fault location based on the mobile network data information, the user perception information, the user location information, the time when the user submits perception information, and the end-to-end correlation model specifically includes:
establishing a work resident user model and a rest resident user model based on the mobile network data information;
judging the type of a user based on the time when the user submits perception information, the user position information, the work resident user model and the rest resident user model to obtain first fault information, wherein the first fault information represents fault information between a terminal and a wireless terminal;
obtaining second fault information based on the mobile network data information and the end-to-end correlation model, wherein the second fault information represents fault information between a wireless end and a transmission end;
obtaining third fault information based on the terminal response delay of the experience user to be improved, the terminal response delays of other users and the end-to-end correlation model, wherein the third fault information represents fault information between a transmission end and a core network end and fault information between the core network end and a service SP end;
obtaining a fault position based on the first fault information, the second fault information and the third fault information;
the work resident user model is: users present in the wireless end from weekdays 8 through 18 on greater than or equal to three days a week;
the rest resident user model is as follows: the users who appear in the wireless terminal from weekday 18 to next day 6 are present on weekends of a week or more than or equal to three days of a week.
6. A terminal device, comprising: a processor and a memory for storing a computer program, the processor being configured to invoke and execute the computer program stored in the memory to implement the mobile network end-to-end fault location method according to any of claims 1 to 4.
7. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out a mobile network end-to-end fault location method according to any one of claims 1 to 4.
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