CN111459702A - Indoor distribution system fault monitoring method and device based on MDT data - Google Patents
Indoor distribution system fault monitoring method and device based on MDT data Download PDFInfo
- Publication number
- CN111459702A CN111459702A CN202010289972.2A CN202010289972A CN111459702A CN 111459702 A CN111459702 A CN 111459702A CN 202010289972 A CN202010289972 A CN 202010289972A CN 111459702 A CN111459702 A CN 111459702A
- Authority
- CN
- China
- Prior art keywords
- mdt data
- indoor
- cell
- user
- historical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000012544 monitoring process Methods 0.000 title claims abstract description 29
- 238000012216 screening Methods 0.000 claims abstract description 33
- 238000005070 sampling Methods 0.000 claims description 38
- 238000012545 processing Methods 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 13
- 238000012098 association analyses Methods 0.000 claims description 3
- 238000010219 correlation analysis Methods 0.000 claims description 2
- 238000012806 monitoring device Methods 0.000 claims 1
- 230000000875 corresponding effect Effects 0.000 description 106
- 238000005192 partition Methods 0.000 description 14
- 230000032823 cell division Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000013179 statistical model Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000006399 behavior Effects 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000013075 data extraction Methods 0.000 description 1
- 238000010295 mobile communication Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0751—Error or fault detection not based on redundancy
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3006—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3089—Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
- G06F11/3093—Configuration details thereof, e.g. installation, enabling, spatial arrangement of the probes
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The application relates to a method and a device for monitoring faults of an indoor distribution system based on MDT data, computer equipment and a storage medium. The method comprises the following steps: acquiring a room division user identifier in MDT data; the indoor division user identification is determined according to the cell identification in the MDT data; acquiring MDT data corresponding to the room division user identification in the total MDT data, and screening the room division MDT data corresponding to the room division fixed user identification in the total MDT data according to the MDT data corresponding to the room division user identification; acquiring historical indoor distribution MDT data corresponding to the indoor distribution fixed user identification, and comparing the historical indoor distribution MDT data with the indoor distribution MDT data; determining the fault probability value of the indoor distribution system according to the classification comparison result of the historical indoor distribution MDT data and the indoor distribution MDT data; the fault probability value is used for prompting that the indoor distribution system has faults. By adopting the method, whether the passive devices in the indoor distribution system have faults can be effectively monitored, and the fault monitoring accuracy of the indoor distribution system is further improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for monitoring faults of an indoor distribution system based on MDT data, a computer device, and a storage medium.
Background
The indoor distribution system is a successful scheme for improving the mobile communication environment in the building aiming at indoor user groups, and the indoor antenna distribution system is utilized to uniformly distribute signals of the mobile base station in each corner indoors, so that an indoor area is ensured to have ideal signal coverage.
The existing indoor distribution system fault monitoring mode can only monitor the faults of the active devices of the indoor distribution system, and when the passive devices of the indoor distribution system have faults, the faults can not be reflected in alarm, so that the problem of low system fault monitoring accuracy rate exists.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a method, an apparatus, a computer device and a storage medium for monitoring faults of an indoor distribution system based on MDT data, which can improve the accuracy of monitoring faults of the system.
An indoor distribution system fault monitoring method based on MDT data, the method comprising:
acquiring a room division user identifier in MDT data; the indoor division user identification is determined according to the cell identification in the MDT data;
acquiring MDT data corresponding to the room division user identification in the total MDT data, and screening the room division MDT data corresponding to the room division fixed user identification in the total MDT data according to the MDT data corresponding to the room division user identification;
acquiring historical indoor distribution MDT data corresponding to the indoor distribution fixed user identification, and comparing the historical indoor distribution MDT data with the indoor distribution MDT data;
determining a fault probability value of an indoor distribution system according to the classification comparison result of the historical indoor distribution MDT data and the indoor distribution MDT data; and the fault probability value is used for prompting that the indoor distribution system has a fault.
An indoor distributed system fault monitoring apparatus based on MDT data, the apparatus comprising:
the identification acquisition module is used for acquiring the indoor division user identification in the MDT data; the indoor division user identification is determined according to the cell identification in the MDT data;
the data acquisition module is used for acquiring MDT data corresponding to the room division user identification in the total MDT data and screening the room division MDT data corresponding to the room division fixed user identification in the total MDT data according to the MDT data corresponding to the room division user identification;
the historical data acquisition module is used for acquiring historical indoor distribution MDT data corresponding to the indoor distribution fixed user identification and comparing the historical indoor distribution MDT data with the indoor distribution MDT data;
the fault judgment module is used for determining the fault probability value of the indoor distribution system according to the classification comparison result of the historical indoor distribution MDT data and the indoor distribution MDT data; and the fault probability value is used for prompting that the indoor distribution system has a fault.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring a room division user identifier in MDT data; the indoor division user identification is determined according to the cell identification in the MDT data;
acquiring MDT data corresponding to the room division user identification in the total MDT data, and screening the room division MDT data corresponding to the room division fixed user identification in the total MDT data according to the MDT data corresponding to the room division user identification;
acquiring historical indoor distribution MDT data corresponding to the indoor distribution fixed user identification, and comparing the historical indoor distribution MDT data with the indoor distribution MDT data;
determining a fault probability value of an indoor distribution system according to the classification comparison result of the historical indoor distribution MDT data and the indoor distribution MDT data; and the fault probability value is used for prompting that the indoor distribution system has a fault.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring a room division user identifier in MDT data; the indoor division user identification is determined according to the cell identification in the MDT data;
acquiring MDT data corresponding to the room division user identification in the total MDT data, and screening the room division MDT data corresponding to the room division fixed user identification in the total MDT data according to the MDT data corresponding to the room division user identification;
acquiring historical indoor distribution MDT data corresponding to the indoor distribution fixed user identification, and comparing the historical indoor distribution MDT data with the indoor distribution MDT data;
determining a fault probability value of an indoor distribution system according to the classification comparison result of the historical indoor distribution MDT data and the indoor distribution MDT data; and the fault probability value is used for prompting that the indoor distribution system has a fault.
According to the method, the device, the computer equipment and the storage medium for monitoring the faults of the indoor distribution system based on the MDT data, the indoor branch user identification in the MDT data is obtained, the MDT data corresponding to the indoor branch user identification in the total MDT data is obtained by using the indoor branch user identification, the indoor branch MDT data corresponding to the indoor branch fixed user identification in the total MDT data is screened out according to the MDT data corresponding to the indoor branch user identification, the historical indoor branch MDT data corresponding to the indoor branch fixed user identification is obtained, and the historical indoor branch MDT data is compared with the indoor branch MDT data, so that the fault probability value of the indoor distribution system is determined according to the classification comparison result, and finally the indoor distribution system is prompted to have faults. By adopting the method, whether the passive devices in the indoor distribution system have faults can be effectively monitored, and the fault monitoring accuracy of the indoor distribution system is further improved.
Drawings
FIG. 1 is a diagram of an exemplary embodiment of a method for fault monitoring of an indoor distribution system;
FIG. 2 is a schematic flow chart of a method for monitoring faults in an indoor distribution system according to an embodiment;
FIG. 3 is a schematic flow chart diagram illustrating the step of obtaining a room subscriber identity in one embodiment;
fig. 4 is a schematic flow chart of an MDT data extraction procedure of a cell in one embodiment;
FIG. 5 is a schematic flow chart showing the step of screening the compartment MDT data in one embodiment;
FIG. 6 is a flow chart illustrating the MDT data screening process for the indoor division of the fixed subscribers in one embodiment;
FIG. 7 is a flow chart showing the MDT data screening procedure of the indoor division of the fixed subscribers in another embodiment;
FIG. 8 is a flow chart showing the MDT data screening procedure of the indoor division of the fixed users in yet another embodiment;
FIG. 9 is a flowchart illustrating the step of obtaining MDT data for a history room in one embodiment;
FIG. 10 is a flowchart illustrating the failure probability value determination step in one embodiment;
FIG. 11 is a block diagram of an exemplary embodiment of an indoor distribution system fault monitoring apparatus;
FIG. 12 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It should be noted that, in the embodiments of the present invention, the term "first \ second" merely distinguishes similar objects, and does not represent a specific ordering for the objects, and it should be understood that "first \ second" may exchange a specific order or sequence order where permitted. It should be understood that "first \ second" distinct objects may be interchanged under appropriate circumstances such that embodiments of the invention described herein may be practiced in sequences other than those illustrated or described herein.
The method for monitoring the fault of the indoor distribution system based on the MDT data can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The server 104 may obtain the room division user identifier in the MDT data to further obtain the MDT data corresponding to the room division user identifier in the total MDT data, and according to the MDT data corresponding to the room division user identifier, screen out the room division MDT data corresponding to the room division fixed user identifier in the total MDT data to obtain the historical room division MDT data corresponding to the room division fixed user identifier, and compare the historical room division MDT data with the room division MDT data, and finally determine the failure probability value of the indoor distribution system according to the classification comparison result of the historical room division MDT data and the room division MDT data, because the failure probability value may be used to prompt whether the indoor distribution system has a failure, when the failure meets a certain preset failure prompt condition, the server 104 may generate a failure prompt and feed back to the terminal 102 so that the terminal 102 may receive the failure prompt of the indoor distribution system, and is displayed on a monitoring personnel of the indoor distribution system for learning and processing. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, a method for monitoring failure of an indoor distribution system based on MDT data is provided, which is described by taking the method as an example applied to the server 104 in fig. 1, and includes the following steps:
The MDT (Minimization of Drive-tests) is an automatic Drive test technology introduced in the 3GPP R10 stage, and the technology mainly carries user information and accurate longitude and latitude data information in a measurement report, and has a high application value for user and location-based network coverage assessment.
The indoor sub-user identifier is a user identifier with a global uniqueness field in MDT data, and can be defined to comprise AN MME Group ID, AN MME Code, AN MME UE S1AP ID and AN IMSI, wherein the MME is a Mobile Management node of a T L E network and is responsible for a part of signaling processing, the MMEGroup ID represents AN MME Group identifier and is unique in a P L AN, the MME Code represents AN MME number and is unique in AN MME Group, the MME UE S1AP ID represents a unique identifier of the UE (user terminal) on AN MME side S1 interface, the IMSI (International Mobile Subscriber Identity) represents AN International Mobile Subscriber Identity, and the field after the MDT data is empty because the user data is related, the IMSI field is used as AN interval from the MMEGP + the MME Code to the MME Group identifier, so that the indoor sub-user identifier has a certain interval from the MME Group ID to the MME Group identifier 1AP, such as the time interval from the MME Group ID to the MME ID.
Specifically, the MDT data includes not only information such as a time identifier (timestamp), a user identifier, a cell identifier, and RSRP (Reference Signal Receiving Power), but also serving cell measurement information, neighbor cell measurement information, and the like, and each type of information may be configured as a MDT sampling point data by using the user identifier as a main key. Before acquiring the indoor sub-user identifier, the server 104 first needs to acquire MDT data, and since the MDT data includes multiple pieces of sampling point data, and each piece of sampling point data includes information such as a cell identifier and a time identifier corresponding to a user identifier as a main key, it is necessary to screen out sampling point data in which a main serving cell type is "indoor" (the cell type includes "indoor" and "outdoor") in consideration of whether there is a failure in the indoor distribution system, that is, to screen out sampling point data in which a cell type to which a cell identifier belongs is "outdoor", so as to obtain a user identifier in the remaining sampling point data, that is, an indoor sub-user identifier.
The full-scale MDT data may be MDT sample data that is set to be wider in terms of sampling time, sampling range, and the like than the MDT data.
Specifically, after the server 104 filters and acquires the room division user identifiers in the MDT data, the room division user identifiers may be used to extract, in the full amount of MDT data, MDT sample data occupied by each room division user identifier in a time sequence, that is, MDT data corresponding to the room division user identifiers, and then associate the MDT sample data with the base station basic information table and the base station cell neighborhood table to analyze the behavior characteristics of each user under the indoor distribution system site, that is, according to the MDT data corresponding to each room division user identifier, first, the room division fixed user identifiers in the full amount of MDT data are filtered, and then, the room division MDT data corresponding to each room division fixed user identifier is extracted.
The historical indoor distribution MDT data is indoor distribution MDT data recorded by each indoor distribution system in a preset historical time period (for example, a historical period of the same acquisition period as the MDT data).
Specifically, after obtaining the historical indoor distribution MDT data corresponding to each indoor distribution fixed user identifier, the server 104 may use the historical indoor distribution MDT data as a model sample to establish a historical statistical model, so that the historical statistical model is used to take the indoor distribution MDT data as an input, compare the indoor distribution MDT data with the historical indoor distribution MDT data, and finally output a classification comparison result.
More specifically, the historical statistical model is established by sampling data of a historical time period, and only the historical time period needs to be close to the current sampling time and the number of the historical time period is enough, so that the MDT data corresponding to the room division user identifiers in the same period of 3 historical times away from the current sampling time can be acquired as the historical room division MDT data.
For example, if the sampling time of the MDT data obtained in step 202 is "10: 00-11: 00 ", the historical time period may be the current one week period" 10: 00-11: the first three monday periods of 00 ", that is, the sampling times of the MDT data, the full MDT data, and the historical room MDT data, may all be sampling data for the same time interval.
The historical indoor partition MDT data comprises historical average fixed user number, historical fixed user sampling point number, historical user occupation proportion, historical average coverage level, historical average coverage quality and historical traffic (historical uplink traffic and historical downlink traffic).
Specifically, after the historical indoor distribution MDT data and the indoor distribution MDT data are classified and compared, and classification comparison results are obtained, the proportion of each classification comparison result in preset weight can be counted, the fault probability value of the indoor distribution system is further determined, when the fault probability value reaches a preset fault prompt threshold value, it is indicated that a fault exists in a passive device in the indoor distribution system to be analyzed currently, the server 104 can further generate a system fault prompt and send the system fault prompt to the terminal 102, and the terminal 102 can prompt a worker to process the fault in time after receiving the system fault prompt.
In the method for monitoring the faults of the indoor distribution system based on the MDT data, the indoor branch user identification in the MDT data is obtained, the MDT data corresponding to the indoor branch user identification in the total MDT data is obtained by using the indoor branch user identification, the indoor branch MDT data corresponding to the indoor branch fixed user identification in the total MDT data is screened out according to the MDT data corresponding to the indoor branch user identification, the historical indoor branch MDT data corresponding to the indoor branch fixed user identification is obtained, the historical indoor branch MDT data is compared with the indoor branch MDT data, the fault probability value of the indoor distribution system is determined according to the classification comparison result, and finally the fault of the indoor distribution system is prompted. By adopting the method, whether the passive devices in the indoor distribution system have faults can be effectively monitored, and the fault monitoring accuracy of the indoor distribution system is further improved.
In one embodiment, as shown in FIG. 3, step 202 comprises:
The MDT data in the preset time period may refer to "10: 00-11: the MDT data collected in the period of 00 ″ may be MDT data in other preset periods in other embodiments.
Specifically, the way for the server 104 to obtain the cell division user identifier in the MDT data may be to first obtain the MDT data in a preset time period, where the MDT data includes a plurality of user identifiers and cell identifiers corresponding to the user identifiers, and the cell types of different cell identifiers are different, so that the cell identifiers may be screened to extract the cell division cell MDT data in the MDT data, that is, after the cell type to which each cell identifier belongs is determined by matching the MDT data with a pre-stored base station basic information table, the cell identifier whose cell type is "indoor" is screened out, and the corresponding MDT data is the cell division cell MDT data, and the user identifier existing in the cell MDT data is the cell division user identifier.
More specifically, since there may be a situation where the user identifier is duplicated in the MDT data, after the MDT data of the indoor cell is obtained, the duplicated user identifier in the MDT data of the indoor cell may be subjected to deduplication processing, so that different indoor user identifiers can be obtained.
In one embodiment, as shown in FIG. 4, step 304 comprises:
The base station basic information table comprises a plurality of base station cell identifications, each base station cell identification is provided with a corresponding cell type, the base station basic information table is prestored in a database or is acquired from other servers, and the base station basic information table can be used for identifying the type of each cell identification in the current acquired MDT data.
Specifically, after the MDT data in the preset time period is acquired, the cell identifier in the MDT data needs to be matched with a plurality of base station cell identifiers included in the base station basic information table, and the cell identifier corresponding to the cell identifier can be determined by acquiring the target base station cell identifier matched with the cell identifier in the base station basic information table, that is, when the cell type corresponding to the target base station cell identifier is an indoor cell type, it can be determined that the cell type corresponding to the matched cell identifier is "indoor", and the MDT data corresponding to the cell identifier is screened out, so that the MDT data of the indoor sub-cell can be obtained.
In one embodiment, as shown in FIG. 5, step 204 comprises:
Specifically, after the server 104 screens the room division user identifiers in the MDT data, the room division user identifiers may be further utilized to screen the corresponding room division user MDT data from the full MDT data, the screening manner may be that the room division user identifiers are taken one by one in time sequence with the room division user identifiers as a main key to obtain the room division user MDT data corresponding to the room division user identifiers, and then cell identifiers corresponding to the room division user identifiers, such as the number of the cell identifiers and/or information of adjacent relations, distances and the like between cells corresponding to the cell identifiers, are analyzed in the room division user MDT data to screen the room division fixed user MDT data in the room division user MDT data.
At this time, the user identifier included in the indoor division fixed user MDT data is not an accurate indoor division fixed user identifier because: since there is a high possibility that non-indoor partition cell MDT sampling data corresponding to the indoor partition user identifier exists in the indoor partition fixed user MDT data, that is, although the indoor partition user MDT data acquired by the server 104 is the MDT data corresponding to the indoor partition user identifier, it is also possible to include the MDT data sampled when the indoor partition user identifier is in the non-indoor partition cell. Therefore, after the MDT data of the room division fixed users are obtained, in order to further determine the MDT data of the room division corresponding to each of the room division fixed user identifiers, the cell identifiers in the MDT data of the room division fixed users need to be analyzed, the MDT data of which the cell type to which the cell identifier belongs is the "indoor cell type" is screened out, that is, the MDT data of which the cell type to which the cell identifier belongs is the "outdoor cell type" in the MDT data of the room division fixed users are screened out, and the remaining MDT data is the MDT data of the room division corresponding to the room division fixed user identifiers.
In one embodiment, as shown in FIG. 6, step 506 includes:
Specifically, after the server 104 obtains the MDT data of the indoor sub-users with the indoor sub-user identifiers, in order to reduce the calculation amount and improve the calculation accuracy, the cell identifiers corresponding to the indoor sub-user identifiers in the MDT data of the indoor sub-users may be first deduplicated to obtain the unique cell identifiers corresponding to the indoor sub-user identifiers, so as to analyze the unique cell identifiers in the subsequent process, and further screen out the MDT data of the indoor sub-fixed users included in the MDT data of the indoor sub-users.
More specifically, the method for acquiring MDT data of the indoor division fixed subscriber may be to first acquire a base station basic information table and a base station cell neighbor table, where the base station basic information table and the base station cell neighbor table may be obtained by directly reading a database prestored in the server 104, or may be obtained by storing the base station basic information table and the base station cell neighbor table in another server to request for acquisition. The basic information table of the base station is obtained, so that the longitude and latitude information of the cell corresponding to each cell identifier in the MDT data of the indoor division fixed user can be inquired, and the distance between the cells corresponding to each cell identifier can be calculated by utilizing the longitude and latitude information of the cell; the purpose of obtaining the base station cell adjacent area list is to inquire the cell adjacent information of the cell corresponding to each cell identification in the MDT data of the indoor division fixed users, and to determine whether the cells corresponding to each cell identification are adjacent or not by using the cell adjacent information; and finally, analyzing and extracting the MDT data of the indoor division fixed users in the MDT data of the indoor division users through the cell distance and the cell adjacent relation.
In one embodiment, as shown in FIG. 7, step 604 includes:
The cell neighbor information may refer to cell information having a neighbor relationship, for example, cell a is adjacent to cell B.
The latitude and longitude information of the cell may refer to the latitude and longitude information of the cell, for example, the latitude and longitude information of the cell a is "29 ° 58 ° north latitude", and 115 ° 05' "east longitude.
Wherein, the first number threshold may be a value of 2 in this embodiment; the second number threshold may be a value of 3 in this embodiment. It will be appreciated that in other embodiments the respective threshold may be set in dependence on traffic requirements.
Specifically, the server 104 performs association analysis processing on the acquired base station basic information table and the base station cell neighbor cell table and the cell identifier after duplicate removal, which actually includes:
(1) when the cell ids corresponding to the indoor subscriber identities do not exceed the first quantity threshold after deduplication and the cells corresponding to the cell ids are adjacent cells (determined by the cell adjacent information in the base station cell adjacent cell table), the MDT data corresponding to the indoor subscriber identities may be used as the indoor fixed subscriber MDT data, and the server 104 may perform screening in the indoor subscriber MDT data according to the analysis processing.
For example, when the first number threshold is 2, there is "∑ deduplication (cell ID) for the cell ID corresponding to a single cell identifier1Cell ID2Cell IDn) And less than or equal to 2', and the cells represented by the 2 cell identifiers are adjacent to each other, the MDT data corresponding to the indoor division user identifier can be used as the MDT data of the indoor division fixed user.
(2) And when the cell identification corresponding to the indoor division user identification reaches a second quantity threshold value after duplication removal, acquiring the corresponding cell longitude and latitude information of the cell identification in the base station basic information table, and screening the indoor division fixed user MDT data in the indoor division user MDT data by analyzing the cell longitude and latitude information corresponding to each cell identification.
For example, when the second number threshold is 3, the cell ID "∑ is de-duplicated when the cell ID corresponds to a single cell identification1Cell ID2Cell IDn) is more than or equal to 3' and all the cells corresponding to the cell ID are identifiedAnd if the latitude information meets the preset condition, the MDT data corresponding to the room division user identification can be used as the MDT data of the room division fixed user.
In one embodiment, as shown in FIG. 8, step 706 includes:
step 802, if the cell identifier has the cell longitude and latitude information meeting a first preset distance threshold range in the base station basic information table, screening out the MDT data of the indoor sub-user identifier in the MDT data of the indoor sub-user as the MDT data of the indoor sub-fixed user;
Wherein, the first preset distance threshold range may be a numerical range of 0-400 meters in this embodiment; the second preset distance threshold range may be the value range of 400 and 1000 meters in this embodiment; the third predetermined distance threshold range may be a range of values from 0 to 1000 meters in this embodiment. It will be appreciated that in other embodiments the respective threshold may be set in dependence on traffic requirements.
Specifically, when the cell identifier corresponding to the indoor user identifier reaches a second quantity threshold value after duplication removal, obtaining the corresponding cell longitude and latitude information of the cell identifier in the base station basic information table; if the longitude and latitude information of the cell meets the first preset distance threshold range, the server 104 can directly screen out the MDT data of the indoor extension user identifier in the MDT data of the indoor extension user as the MDT data of the indoor extension fixed user; if the longitude and latitude information of the cell does not meet the first preset distance threshold range but meets the second preset distance threshold range, the MDT data of the indoor sub-user identification in a period adjacent to the preset period can be obtained, whether the longitude and latitude information of the cell of each cell identification in the total period meets the third preset distance threshold range or not is judged, and if yes, the MDT data of the indoor sub-user identification in the MDT data of the indoor sub-user can be screened out to be used as the MDT data of the indoor sub-fixed user.
For example, when the second number threshold is 3, the first preset distance threshold range is 0-400 m, the second preset distance threshold range is 400-1000, and the third preset distance threshold range is 0-1000 m, there is "∑ duplication removal" (cell ID) in the cell ID corresponding to the indoor sub-user ID1Cell ID2And the cell IDn) is more than or equal to 3', and the longitude and latitude information of the cells corresponding to all the indoor sub-cell identifiers meets the first preset distance threshold range of 0-400 m, namely the distance between the indoor sub-cells is within the range of 400 m, then the MDT data corresponding to the indoor sub-user identifier can be used as the MDT data of the indoor sub-fixed user.
For another example, if the longitude and latitude information of the cells corresponding to all the cell identifiers of the room sharing subscriber identifier satisfies the second preset distance threshold range of "400 + 1000 meters", the MDT data of the target subscriber identifier in a time period adjacent to the preset time period (for three time periods in total, if the preset time period is 1 hour "10: 00 am-11: 00 am", the time period in total is 3 hours "9: 00 am-12: 00 am") needs to be further acquired, and if the longitude and latitude information of the cells corresponding to the cell identifiers in the three time periods in total satisfies the third preset distance threshold range of "0-1000 meters", the MDT data corresponding to the room sharing subscriber identifier can be used as the MDT data of the room sharing fixed subscriber.
It should be noted that, after the server 104 filters all the indoor partition fixed user MDT data and further filters the indoor partition MDT data corresponding to the indoor partition fixed user identifier and having the cell type of the indoor cell, the server can perform deduplication processing by using each indoor partition fixed user identifier as a main key to determine the indoor partition MDT data that can be finally used as a basis for subsequent analysis processing.
In one embodiment, as shown in FIG. 9, step 206 comprises:
Specifically, the preset period may be a history period in synchronization with the MDT data acquisition period, such as a period of 1 month and 5 days "10: 00-11: 00 'period, the acquisition period of the history room MDT data is the first three periods (1 month, 2-4 days)' 10: 00-11: period 00 ".
More specifically, the formula for obtaining the historical average fixed user number includes that the historical period 1 fixed user number is ∑ deduplication (fixed user ID)1Fixed user ID2Fixed user IDn) History period 2 fixed user number ∑ deduplication (fixed user ID)1Fixed user ID2Fixed user IDn) History period 3 fixed user number ∑ deduplication (fixed user ID)1Fixed user ID2Fixed user IDn) (ii) a The average historical fixed user number is AVG (fixed user number in historical period 1 + fixed user number in historical period 2 + fixed user number in historical period 3). The mode of acquiring the sampling points of the historical fixed user can be as follows: with fixed user identification of the room as the main key (TYPE)User IDFixed users), the historical MDT data of the same user is counted (the sampling points of the historical fixed users are ∑ (MDT sampling data)). the ratio of the number of MDT sampling data occupied by each fixed user to the number of all MDT sampling data occupied by the fixed user to the cell (the ratio of the historical user to the total MDT sampling data is ∑ (MDT sampling data, cell ID is room sub-cell)/∑ (MDT total sampling data), TYPE, is obtainedUser IDFixed user). ObtainingThe way of historical average coverage level may be: counting the average coverage level (RSQP) and the average coverage quality (RSRQ) when each room division fixed user occupies the room division cell, and obtaining the historical average coverage level (AVG) (RSRP)1，RSRP2，RSRPn) And historical average coverage quality AVG (RSRQ)1，RSRQ2，RSRQn) The method for obtaining the historical uplink traffic may be to count the uplink data volume generated when each fixed user of the cell division occupies the cell division, such as the historical uplink traffic being ∑ { ∑ (PDCP layer uplink data traffic ERAB)u1+ PDCP layer uplink data traffic ERABu2+ PDCP layer uplink data traffic ERABu3+ PDCP layer uplink data traffic ERABu4+ PDCP layer uplink data traffic ERABu5+ PDCP layer uplink data traffic ERABu6+ PDCP layer uplink data traffic ERABu7+ PDCP layer uplink data traffic ERABu8) Cell ID is room divided cell }.
Further, pdcp (packet Data Convergence protocol) is a short for packet Data Convergence protocol, ERAB (evolved Radio Access bearer) refers to an evolved Radio Access bearer, while in this embodiment, an ERAB Data packet for transmitting a UE (user equipment) and an eNB (evolved base station) is referred to, since L TEs (L ong terminal) exist in a network, that is, at most 8 different services may be simultaneously on-line, 8 uplink Data flows need to be counted.
More specifically, the historical downlink traffic may be obtained by counting downlink data amount generated when each fixed user of the cell division occupies the cell division, such as the historical downlink traffic amount ∑ { ∑ (PDCP layer downlink data traffic ERAB)d1+ PDCP layer downlink data traffic ERABd2+ PDCP layer downlink data traffic ERABd3+ PDCP layer downlink data traffic ERABd4+ PDCP layer downlink data traffic ERABd5+ PDCP layer downlink data traffic ERABd6+ PDCP layer downlink data traffic ERABd7+ PDCP layer downlink data traffic ERABd8) Cell ID is room divided cell }.
In one embodiment, as shown in fig. 10, the historical indoor MDT data includes a historical average fixed user number, a historical fixed user sampling point number, a historical user occupancy ratio, a historical average coverage level, a historical average coverage quality, and a historical traffic volume, and step 208 includes:
In the present embodiment, the first to sixth classification thresholds may be sequentially expressed as "80%, 20%, 3dBm, 3dm, and 80%".
Specifically, the historical traffic includes historical uplink traffic and historical downlink traffic, and the mode of determining the sixth failure probability value may be: when the traffic (current uplink traffic + current downlink traffic) in the indoor distribution system in the current time period is lower than the historical traffic (historical uplink traffic + historical downlink traffic) by more than a certain threshold (such as 80%), it can be determined that the probability value of the passive device fault in the indoor distribution system is 1.
More specifically, the method for obtaining the system fault probability value may be that the total probability of the faults of the passive devices is ∑ (a first fault probability value, a second fault probability value, a third fault probability value, a fourth fault probability value, a fifth fault probability value and a sixth fault probability value), if the total probability of the faults of the passive devices is greater than or equal to 8, it is determined that the indoor distribution system has the faults, the server 104 may generate a fault prompt at this time and send the fault prompt to the terminal 102, prompt the worker to perform on-site processing, if 8 > the total probability of the faults of the passive devices is greater than or equal to 5, the previous 2 time periods are correlated, if the total probability of the faults of the passive devices under the indoor distribution system with 3 continuous time periods is greater than or equal to 5, it is determined that the indoor distribution system has the faults and needs to perform on-site processing, if 5 > the total probability of the faults of the passive devices is greater than or equal to 3, the total probability of the faults of the passive devices under the indoor distribution system with 6 continuous.
In this embodiment, whether passive device in the indoor distribution system breaks down can be effectively monitored, and then the accuracy of indoor distribution system fault monitoring is promoted.
It should be understood that although the various steps in the flow charts of fig. 2-10 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-10 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.
In one embodiment, as shown in fig. 11, there is provided an indoor distribution system fault monitoring apparatus 1100 based on MDT data, including: an identification acquisition module 1102, a data acquisition module 1104, a historical data acquisition module 1106, and a fault determination module 1108, wherein:
an identifier obtaining module 1102, configured to obtain a room division user identifier in the MDT data; the indoor division user identification is determined according to the cell identification in the MDT data;
a data obtaining module 1104, configured to obtain MDT data corresponding to the room division user identifier in the full MDT data, and screen out room division MDT data corresponding to the room division fixed user identifier in the full MDT data according to the MDT data corresponding to the room division user identifier;
a historical data obtaining module 1106, configured to obtain historical indoor distribution MDT data corresponding to the indoor distribution fixed user identifier, and compare the historical indoor distribution MDT data with the indoor distribution MDT data;
a fault judgment module 1108, configured to determine a fault probability value of an indoor distribution system according to a classification comparison result between the historical indoor distribution MDT data and the indoor distribution MDT data; and the fault probability value is used for prompting that the indoor distribution system has a fault.
In one embodiment, the identifier obtaining module 1102 is further configured to obtain MDT data in a preset time period; extracting the MDT data of the indoor sub-cell in the MDT data according to the cell identification in the MDT data; and determining the user identification in the MDT data of the indoor sub-cell as the indoor sub-user identification.
In one embodiment, the identifier obtaining module 1102 is further configured to obtain a base station basic information table; the base station basic information table comprises a plurality of base station cell identifications; the cell identifiers of the base stations are respectively provided with corresponding cell types; matching the cell identification in the MDT data with the cell identifications of the multiple base stations to determine the cell identification of a target base station; the target base station cell identification is a base station cell identification matched with the cell identification; and if the cell type corresponding to the target base station cell identification is an indoor cell type, extracting the MDT data of the cell identification matched with the target base station cell identification from the MDT data as the indoor cell MDT data.
In one embodiment, the data obtaining module 1104 is further configured to obtain a total amount of MDT data within a preset time period; extracting the MDT data corresponding to the indoor division user identification from the full MDT data according to a time sequence to serve as the MDT data; screening out indoor division fixed user MDT data in the indoor division user MDT data according to the cell identification corresponding to the indoor division user identification; and extracting the MDT data of the indoor division fixed user, wherein the cell type of the cell identifier is the MDT data of the indoor cell type, and the MDT data is used as the MDT data of the indoor division corresponding to the indoor division fixed user identifier.
In an embodiment, the data obtaining module 1104 is further configured to perform deduplication processing on a cell identifier corresponding to the indoor partition user identifier; and acquiring a base station basic information table and a base station cell adjacent area table, and performing correlation analysis processing on the base station basic information table and the base station cell adjacent area table and cell identifications corresponding to the indoor distribution user identifications after duplication removal respectively to screen out indoor distribution fixed user MDT data in the indoor distribution user MDT data.
In one embodiment, the data obtaining module 1104 is further configured to obtain a base station basic information table and a base station cell neighbor table; the base station cell neighbor list comprises cell neighbor information; the base station basic information table comprises longitude and latitude information of a cell; if the number of the cell identifications after the duplication removal is smaller than or equal to a first number threshold value and the cell identifications have adjacent cell adjacent information in the cell adjacent area table of the base station, screening out MDT data of the indoor division user identifications in the indoor division user MDT data as indoor division fixed user MDT data; and if the number of the cell identifications after the duplication removal is larger than or equal to a second number threshold, screening out the indoor division fixed user MDT data in the indoor division user MDT data according to the cell longitude and latitude information of the cell identifications in the base station basic information table.
In an embodiment, the data obtaining module 1104 is further configured to, if the number of the cell identifiers after deduplication is greater than or equal to the second number threshold and the cell identifiers have cell longitude and latitude information meeting a first preset distance threshold range in the base station basic information table, screen out MDT data of the indoor subscriber identifiers in the MDT data of the indoor subscribers, as the MDT data of the indoor fixed subscribers; if the number of the cell identifications after the weight removal is larger than or equal to the second number threshold and the cell identifications have cell longitude and latitude information meeting a second preset distance threshold range in the base station basic information table, acquiring MDT data of the indoor sub-user identifications in a period adjacent to the preset period, and determining whether the cell identifications corresponding to the indoor sub-user identifications in the period adjacent to the preset period have cell longitude and latitude information meeting a third preset distance threshold range in the base station basic information table; and if so, screening the MDT data of the indoor extension user identification in the indoor extension user MDT data as the indoor extension fixed user MDT data.
In one embodiment, the historical data obtaining module 1106 is further configured to obtain historical score MDT data corresponding to the score fixed user identifier in a preset time period; the historical indoor distribution MDT data comprises historical average fixed user number, historical fixed user sampling points, historical user occupation proportion, historical average coverage level, historical average coverage quality, historical uplink service volume and historical downlink service volume; comparing the historical average fixed user number, the historical fixed user sampling point number, the historical user occupation proportion, the historical average coverage level, the historical average coverage quality, the historical uplink traffic and the historical downlink traffic with the indoor distribution MDT data respectively.
In one embodiment, the fault determining module 1108 is further configured to determine that an indoor distribution system is 1 if a ratio of the number of fixed users in the indoor distribution MDT data to the historical average number of fixed users is less than a preset first classification threshold; if the ratio of the number of the fixed user sampling points in the indoor distribution MDT data to the number of the historical fixed user sampling points is smaller than a preset second classification threshold, determining that the second fault probability value of the indoor distribution system is 2; if the ratio of the user occupation ratio in the indoor distribution MDT data to the historical user occupation ratio is smaller than a preset third classification threshold, determining that the third fault probability value of the indoor distribution system is 2; if the ratio of the average coverage level in the indoor distribution MDT data to the historical average coverage level is smaller than a preset fourth classification threshold, determining that the fourth fault probability value of the indoor distribution system is 2; if the ratio of the average coverage quality in the indoor distribution MDT data to the historical average coverage quality is smaller than a preset fifth classification threshold, determining that the fifth failure probability value of the indoor distribution system is 2; if the ratio of the traffic volume in the indoor division MDT data to the historical traffic volume is smaller than a preset sixth classification threshold, the ratio is 1; counting the first fault probability value, the second fault probability value, the third fault probability value, the fifth fault probability value and the sixth fault probability value to obtain a system fault probability value; and if the system fault probability value meets a preset fault threshold value, prompting that the indoor distribution system has a fault.
In this embodiment, the room division user identifier in the MDT data is acquired, the MDT data corresponding to the room division user identifier in the full MDT data is acquired by using the room division user identifier, and then the room division MDT data corresponding to the room division fixed user identifier in the full MDT data is screened out according to the MDT data corresponding to the room division user identifier, and then the historical room division MDT data corresponding to the room division fixed user identifier is acquired, and the historical room division MDT data is compared with the room division MDT data, so that the failure probability value of the indoor distribution system is determined according to the classification comparison result, and finally, the indoor distribution system is prompted to have a failure. By adopting the scheme, whether passive devices in the indoor distribution system break down or not can be effectively monitored, and the accuracy of monitoring the faults of the indoor distribution system is improved.
For specific limitations of the indoor distribution system fault monitoring apparatus based on MDT data, reference may be made to the above limitations of the indoor distribution system fault monitoring method based on MDT data, which are not described herein again. The modules in the MDT data-based indoor distribution system fault monitoring apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 12. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store the MDT sample data. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method for indoor distributed system fault monitoring based on MDT data.
Those skilled in the art will appreciate that the architecture shown in fig. 12 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is further provided, which includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method embodiments when executing the computer program.
In an embodiment, a computer-readable storage medium is provided, in which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (12)
1. A method for monitoring faults of an indoor distribution system based on MDT data is characterized by comprising the following steps:
acquiring a room division user identifier in MDT data; the indoor division user identification is determined according to the cell identification in the MDT data;
acquiring MDT data corresponding to the room division user identification in the total MDT data, and screening the room division MDT data corresponding to the room division fixed user identification in the total MDT data according to the MDT data corresponding to the room division user identification;
acquiring historical indoor distribution MDT data corresponding to the indoor distribution fixed user identification, and comparing the historical indoor distribution MDT data with the indoor distribution MDT data;
determining a fault probability value of an indoor distribution system according to the classification comparison result of the historical indoor distribution MDT data and the indoor distribution MDT data; and the fault probability value is used for prompting that the indoor distribution system has a fault.
2. The method of claim 1, wherein the obtaining the indoor user identifier in the MDT data comprises:
acquiring MDT data in a preset time period;
extracting the MDT data of the indoor sub-cell in the MDT data according to the cell identification in the MDT data;
and determining the user identification in the MDT data of the indoor sub-cell as the indoor sub-user identification.
3. The method of claim 2, wherein the extracting the MDT data of the indoor cell according to the cell identifier in the MDT data comprises:
acquiring a base station basic information table; the base station basic information table comprises a plurality of base station cell identifications; the cell identifiers of the base stations are respectively provided with corresponding cell types;
matching the cell identification in the MDT data with the cell identifications of the multiple base stations to determine the cell identification of a target base station; the target base station cell identification is a base station cell identification matched with the cell identification;
and if the cell type corresponding to the target base station cell identification is an indoor cell type, extracting the MDT data of the cell identification matched with the target base station cell identification from the MDT data as the indoor cell MDT data.
4. The method according to claim 1, wherein the obtaining of the MDT data corresponding to the room division user identifier in the full-scale MDT data and screening the room division MDT data corresponding to the room division fixed user identifier in the full-scale MDT data according to the MDT data corresponding to the room division user identifier comprises:
acquiring full MDT data in a preset time period;
extracting the MDT data corresponding to the indoor division user identification from the full MDT data according to time sequence to serve as the indoor division user MDT data;
screening out indoor division fixed user MDT data in the indoor division user MDT data according to the cell identification corresponding to the indoor division user identification;
and extracting the MDT data of the indoor division corresponding to the cell identification, wherein the cell type corresponding to the cell identification is the MDT data of the indoor cell type, and the MDT data is used as the MDT data of the indoor division corresponding to the indoor division fixed user identification.
5. The method according to claim 4, wherein the screening out the indoor division fixed user MDT data in the indoor division user MDT data according to the cell identifier corresponding to the indoor division user identifier comprises:
carrying out duplicate removal processing on the cell identification corresponding to the indoor user identification;
and acquiring a base station basic information table and a base station cell adjacent area table, and performing correlation analysis processing on the base station basic information table and the base station cell adjacent area table and cell identifications corresponding to the indoor distribution user identifications after duplication removal respectively to screen out indoor distribution fixed user MDT data in the indoor distribution user MDT data.
6. The method according to claim 5, wherein the obtaining a base station basic information table and a base station cell neighbor list, and performing association analysis on the base station basic information table and the base station cell neighbor list with cell identifiers corresponding to the indoor sub-user identifiers after deduplication, respectively, to screen out indoor sub-fixed user MDT data in the indoor sub-user MDT data, comprises:
acquiring a base station basic information table and a base station cell neighbor area table; the base station cell neighbor list comprises cell neighbor information; the base station basic information table comprises longitude and latitude information of a cell;
if the number of the cell identifications after the duplication removal is smaller than or equal to a first number threshold value and the cell identifications have adjacent cell adjacent information in the cell adjacent area table of the base station, screening out MDT data of the indoor division user identifications in the indoor division user MDT data as indoor division fixed user MDT data;
and if the number of the cell identifications after the duplication removal is larger than or equal to a second number threshold, screening out the indoor division fixed user MDT data in the indoor division user MDT data according to the cell longitude and latitude information of the cell identifications in the base station basic information table.
7. The method of claim 6, wherein the screening out the indoor division fixed user MDT data from the indoor division user MDT data according to the cell longitude and latitude information of the cell identifier in the base station basic information table comprises:
if the cell identification has the cell longitude and latitude information meeting a first preset distance threshold range in the base station basic information table, screening out MDT data of the indoor branch user identification in the indoor branch user MDT data as the indoor branch fixed user MDT data;
if the cell identification has the cell longitude and latitude information meeting a second preset distance threshold range in the base station basic information table, acquiring MDT data of the indoor sub-user identification in a period adjacent to the preset period, and determining whether the cell identification corresponding to the indoor sub-user identification has the cell longitude and latitude information meeting a third preset distance threshold range in the base station basic information table or not in the period adjacent to the preset period; and if so, screening the MDT data of the indoor extension user identification in the indoor extension user MDT data as the indoor extension fixed user MDT data.
8. The method of claim 1, wherein the obtaining historical indoor division MDT data corresponding to the indoor division fixed user identifier and comparing the historical indoor division MDT data with the indoor division MDT data comprises:
acquiring historical indoor distribution MDT data corresponding to the indoor distribution fixed user identification in a preset time period; the historical indoor distribution MDT data comprises historical average fixed user number, historical fixed user sampling points, historical user occupation proportion, historical average coverage level, historical average coverage quality, historical uplink service volume and historical downlink service volume;
comparing the historical average fixed user number, the historical fixed user sampling point number, the historical user occupation proportion, the historical average coverage level, the historical average coverage quality, the historical uplink traffic and the historical downlink traffic with the indoor distribution MDT data respectively.
9. The method of claim 1, wherein the historical indoor distribution MDT data comprises historical average fixed user number, historical fixed user sampling point number, historical user occupation proportion, historical average coverage level, historical average coverage quality and historical traffic, and the fault probability value of an indoor distribution system is determined according to the classification comparison result of the historical indoor distribution MDT data and the indoor distribution MDT data; the failure probability value is used for prompting that the indoor distribution system has a failure, and comprises the following steps:
if the ratio of the number of the fixed users in the indoor distribution MDT data to the historical average number of the fixed users is smaller than a preset first classification threshold, determining that the number of the indoor distribution systems is 1;
if the ratio of the number of the fixed user sampling points in the indoor distribution MDT data to the number of the historical fixed user sampling points is smaller than a preset second classification threshold, determining that the second fault probability value of the indoor distribution system is 2;
if the ratio of the user occupation ratio in the indoor distribution MDT data to the historical user occupation ratio is smaller than a preset third classification threshold, determining that the third fault probability value of the indoor distribution system is 2;
if the ratio of the average coverage level in the indoor distribution MDT data to the historical average coverage level is smaller than a preset fourth classification threshold, determining that the fourth fault probability value of the indoor distribution system is 2;
if the ratio of the average coverage quality in the indoor distribution MDT data to the historical average coverage quality is smaller than a preset fifth classification threshold, determining that the fifth failure probability value of the indoor distribution system is 2;
if the ratio of the traffic volume in the indoor division MDT data to the historical traffic volume is smaller than a preset sixth classification threshold, the ratio is 1;
counting the first fault probability value, the second fault probability value, the third fault probability value, the fifth fault probability value and the sixth fault probability value to obtain a system fault probability value;
and if the system fault probability value meets a preset fault threshold value, prompting that the indoor distribution system has a fault.
10. An indoor distribution system fault monitoring device based on MDT data, the device comprising:
the identification acquisition module is used for acquiring the indoor division user identification in the MDT data; the indoor division user identification is determined according to the cell identification in the MDT data;
the data acquisition module is used for acquiring MDT data corresponding to the room division user identification in the total MDT data and screening the room division MDT data corresponding to the room division fixed user identification in the total MDT data according to the MDT data corresponding to the room division user identification;
the historical data acquisition module is used for acquiring historical indoor distribution MDT data corresponding to the indoor distribution fixed user identification and comparing the historical indoor distribution MDT data with the indoor distribution MDT data;
the fault judgment module is used for determining the fault probability value of the indoor distribution system according to the classification comparison result of the historical indoor distribution MDT data and the indoor distribution MDT data; and the fault probability value is used for prompting that the indoor distribution system has a fault.
11. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 9 when executing the computer program.
12. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010289972.2A CN111459702B (en) | 2020-04-14 | 2020-04-14 | Indoor distribution system fault monitoring method and device based on MDT data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010289972.2A CN111459702B (en) | 2020-04-14 | 2020-04-14 | Indoor distribution system fault monitoring method and device based on MDT data |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111459702A true CN111459702A (en) | 2020-07-28 |
| CN111459702B CN111459702B (en) | 2024-01-23 |
Family
ID=71681856
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010289972.2A Active CN111459702B (en) | 2020-04-14 | 2020-04-14 | Indoor distribution system fault monitoring method and device based on MDT data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111459702B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112100497A (en) * | 2020-09-14 | 2020-12-18 | 北京嘀嘀无限科技发展有限公司 | Data processing method and device, electronic equipment and readable storage medium |
| CN116167748A (en) * | 2023-04-20 | 2023-05-26 | 中国市政工程西南设计研究总院有限公司 | Urban underground comprehensive pipe gallery operation and maintenance method, system and device and electronic equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040032921A1 (en) * | 2002-07-17 | 2004-02-19 | Broadcom Corporation | Methods for performing channel diagnostics |
| CN103124430A (en) * | 2011-11-18 | 2013-05-29 | 中国移动通信集团内蒙古有限公司 | Method and system for locating indoor users |
| CN104796277A (en) * | 2014-01-21 | 2015-07-22 | 中国移动通信集团湖南有限公司 | Network fault monitoring method and device |
| CN109996186A (en) * | 2017-12-29 | 2019-07-09 | 中国移动通信集团陕西有限公司 | A kind of network coverage problem identification method and device, read/write memory medium |
-
2020
- 2020-04-14 CN CN202010289972.2A patent/CN111459702B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040032921A1 (en) * | 2002-07-17 | 2004-02-19 | Broadcom Corporation | Methods for performing channel diagnostics |
| CN103124430A (en) * | 2011-11-18 | 2013-05-29 | 中国移动通信集团内蒙古有限公司 | Method and system for locating indoor users |
| CN104796277A (en) * | 2014-01-21 | 2015-07-22 | 中国移动通信集团湖南有限公司 | Network fault monitoring method and device |
| CN109996186A (en) * | 2017-12-29 | 2019-07-09 | 中国移动通信集团陕西有限公司 | A kind of network coverage problem identification method and device, read/write memory medium |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112100497A (en) * | 2020-09-14 | 2020-12-18 | 北京嘀嘀无限科技发展有限公司 | Data processing method and device, electronic equipment and readable storage medium |
| CN112100497B (en) * | 2020-09-14 | 2021-10-19 | 北京嘀嘀无限科技发展有限公司 | Data processing method and device, electronic equipment and readable storage medium |
| CN116167748A (en) * | 2023-04-20 | 2023-05-26 | 中国市政工程西南设计研究总院有限公司 | Urban underground comprehensive pipe gallery operation and maintenance method, system and device and electronic equipment |
| CN116167748B (en) * | 2023-04-20 | 2023-08-25 | 中国市政工程西南设计研究总院有限公司 | Urban underground comprehensive pipe gallery operation and maintenance method, system and device and electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111459702B (en) | 2024-01-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9706363B2 (en) | Method and system for identifying significant locations through data obtainable from a telecommunication network | |
| US20130210455A1 (en) | Aggregating demographic distribution information | |
| US8700631B2 (en) | Tempo spatial data extraction from network connected devices | |
| US7292849B2 (en) | Method and apparatus for determining gaps in cellular phone area coverage | |
| US9305110B2 (en) | Method and arrangement for supporting analysis of social networks in a communication network | |
| CN111325561B (en) | Intelligent complaint processing method and device, electronic equipment and storage medium | |
| CN110121183B (en) | Information processing method and device and computer readable storage medium | |
| CN111459702B (en) | Indoor distribution system fault monitoring method and device based on MDT data | |
| WO2017063532A1 (en) | Method and device for identifying address type | |
| US20220167171A1 (en) | Security anomaly detection for internet of things devices | |
| GB2478049A (en) | Detecting locations of poor network coverage in a mobile communications network | |
| CN105451234A (en) | Signaling interactive data-based suspicious number analyzing method and device | |
| EP3142393A1 (en) | Method and system for obtaining demographic information | |
| CN108235335B (en) | Method and device for determining weak coverage area of indoor network | |
| WO2018202272A1 (en) | Cellular network management based on automatic social-data acquisition | |
| CN111465030B (en) | Indoor MDT longitude and latitude backfill method, device, computer equipment and storage medium | |
| CN115334568B (en) | Mobile communication network quality evaluation method and device and electronic equipment | |
| CN110120883B (en) | Method and device for evaluating network performance and computer readable storage medium | |
| CN107231633B (en) | Method for mobile terminal to identify pseudo base station and mobile terminal | |
| CN116567519A (en) | Method and device for acquiring quality information of signal network of home mobile phone of user | |
| Hochgraf et al. | Providing first responders with real-time status of cellular networks during a disaster | |
| CN112911702B (en) | Wireless base station positioning method and system | |
| CN115967906A (en) | User resident position identification method, terminal, electronic device and storage medium | |
| CN109600751B (en) | Pseudo base station detection method based on network side user data | |
| CN114205820A (en) | Method, device and computer equipment for detecting suspicious user carrying pseudo base station |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |