CN111459702B - 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 PDF

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CN111459702B
CN111459702B CN202010289972.2A CN202010289972A CN111459702B CN 111459702 B CN111459702 B CN 111459702B CN 202010289972 A CN202010289972 A CN 202010289972A CN 111459702 B CN111459702 B CN 111459702B
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mdt data
indoor
cell
division
user
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CN111459702A (en
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叶全南
莫景画
李清亮
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Guangdong Haige Icreate Technology Co ltd
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    • 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

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Abstract

The application relates to an indoor distribution system fault monitoring method, device, computer equipment and storage medium based on MDT data. 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; obtaining MDT data corresponding to the room division user identification in the total MDT data, and screening 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 room-score MDT data corresponding to room-score fixed user identifiers, and comparing the historical room-score MDT data with the room-score MDT data; determining a fault probability value of the indoor distribution system according to a 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 are faulty or not can be effectively monitored, and the accuracy of fault monitoring of the indoor distribution system is improved.

Description

Indoor distribution system fault monitoring method and device based on MDT data
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method and 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 a building aiming at indoor user groups, and utilizes the indoor antenna distribution system to uniformly distribute signals of a mobile base station at each corner in a room, so that an indoor area is ensured to have ideal signal coverage.
The existing fault monitoring mode of the indoor distribution system can only monitor the faults of the active equipment of the indoor distribution system, and when the passive devices of the indoor distribution system are in faults, the faults cannot be reflected on an alarm, so that the problem of low accuracy of system fault monitoring exists.
Disclosure of Invention
In view of the foregoing, it is desirable to provide an indoor distributed system fault monitoring method, apparatus, computer device and storage medium based on MDT data, which can improve the accuracy of system fault monitoring.
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 user identification is determined according to the cell identification in the MDT data;
obtaining MDT data corresponding to the indoor division user identification in the total MDT data, and screening out indoor division MDT data corresponding to the indoor division fixed user identification in the total MDT data according to the MDT data corresponding to the indoor division user identification;
Acquiring historical room-division MDT data corresponding to the room-division fixed user identification, and comparing the historical room-division MDT data with the room-division MDT data;
determining a fault probability value of an indoor distribution system according to a 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 faults.
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 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 indoor division user identification in the total MDT data, and screening out indoor division MDT data corresponding to the indoor division fixed user identification in the total MDT data according to the MDT data corresponding to the indoor division user identification;
the historical data acquisition module is used for acquiring historical room-division MDT data corresponding to the room-division fixed user identification and comparing the historical room-division MDT data with the room-division MDT data;
the fault judging module is used for determining a 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 faults.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring a room division user identifier in MDT data; the indoor user identification is determined according to the cell identification in the MDT data;
obtaining MDT data corresponding to the indoor division user identification in the total MDT data, and screening out indoor division MDT data corresponding to the indoor division fixed user identification in the total MDT data according to the MDT data corresponding to the indoor division user identification;
acquiring historical room-division MDT data corresponding to the room-division fixed user identification, and comparing the historical room-division MDT data with the room-division MDT data;
determining a fault probability value of an indoor distribution system according to a 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 faults.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring a room division user identifier in MDT data; the indoor user identification is determined according to the cell identification in the MDT data;
Obtaining MDT data corresponding to the indoor division user identification in the total MDT data, and screening out indoor division MDT data corresponding to the indoor division fixed user identification in the total MDT data according to the MDT data corresponding to the indoor division user identification;
acquiring historical room-division MDT data corresponding to the room-division fixed user identification, and comparing the historical room-division MDT data with the room-division MDT data;
determining a fault probability value of an indoor distribution system according to a 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 faults.
According to the indoor distribution system fault monitoring method, the indoor distribution system fault monitoring device, the computer equipment and the storage medium based on the MDT data, the indoor distribution user identification in the MDT data is obtained, the indoor distribution user identification is utilized to obtain the MDT data corresponding to the indoor distribution user identification in the total MDT data, the indoor distribution MDT data corresponding to the indoor distribution fixed user identification in the total MDT data is screened out according to the MDT data corresponding to the indoor distribution user identification, the historical indoor distribution MDT data corresponding to the indoor distribution fixed user identification is obtained, and the historical indoor distribution MDT data is compared with the indoor distribution 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 are faulty or not can be effectively monitored, and the accuracy of fault monitoring of the indoor distribution system is improved.
Drawings
FIG. 1 is an application environment diagram of a fault monitoring method for an indoor distribution system in one embodiment;
FIG. 2 is a flow chart of a method for monitoring faults of an indoor distribution system according to an embodiment;
FIG. 3 is a flow chart of a step of acquiring a compartment user identifier in one embodiment;
FIG. 4 is a flow chart of the steps of extracting MDT data of a cell in an embodiment;
FIG. 5 is a flow chart of a chamber MDT data screening step in one embodiment;
FIG. 6 is a flow chart of a process for screening MDT data of a fixed subscriber in a room in one embodiment;
FIG. 7 is a flowchart of a process for screening MDT data of a fixed subscriber in a room according to another embodiment;
FIG. 8 is a flowchart of a process for screening MDT data of a fixed subscriber in a room according to another embodiment;
FIG. 9 is a flow chart of a historical chamber MDT data acquisition step in one embodiment;
FIG. 10 is a flow chart of a fault probability value determination step in one embodiment;
FIG. 11 is a block diagram of an indoor distribution system fault monitoring device in one embodiment;
fig. 12 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
It should be noted that, first, second and the like are merely terms for distinguishing similar objects, and do not represent a specific order for the objects, and it should be understood that the terms "first, second and the like may be interchanged with one another in a specific order or sequence, where the terms" first, second and the like "are used herein. It is to be understood that the "first\second" distinguishing aspects may be interchanged where appropriate to enable embodiments of the invention described herein to be implemented in sequences other than those illustrated or described.
The indoor distribution system fault monitoring method based on MDT data can be applied to an application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. The server 104 may acquire the room-division user identifier in the MDT data to further acquire the MDT data corresponding to the room-division user identifier in the total MDT data, and screen out the room-division MDT data corresponding to the room-division fixed user identifier in the total MDT data according to the MDT data corresponding to the room-division user identifier, so as to acquire the historical room-division MDT data corresponding to the room-division fixed user identifier, compare the historical room-division MDT data with the room-division MDT data, and finally determine a fault probability value of the indoor distribution system according to a classification comparison result of the historical room-division MDT data and the room-division MDT data. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smartphones, tablet computers, and portable wearable devices, and the server 104 may be implemented by a stand-alone server or a server cluster composed of a plurality of servers.
In one embodiment, as shown in fig. 2, there is provided an indoor distributed system fault monitoring method based on MDT data, which is illustrated by taking the application of the method to the server 104 in fig. 1 as an example, and includes the following steps:
step 202, acquiring a room division user identifier in MDT data; and the indoor user identification is determined according to the cell identification in the MDT data.
The MDT (Minimization of Drive-tests, 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, so that the application value of the technology for evaluating network coverage based on users and positions is high.
The indoor user identification refers to a user identification with a global unique field in MDT data, and the indoor user identification can be defined to comprise 'MME Group ID, MME Code, MME UE S1AP ID and IMSI'; "MME" (Mobility Management Entity) is the mobility management node of the TLE network, responsible for the part of the signaling process; "MME Group ID" means MME Group identity, unique in one PLAN; "MME Code" means MME number, unique in one MME Group; "MME UE S1AP ID" means the unique identity of the UE (user terminal) on the MME side S1 interface; "IMSI" (International Mobile Subscriber Identity) represents an international mobile subscriber identity. It should be noted that, because the IMSI field is empty after the MDT data is desensitized with respect to the user privacy data, the present application proposes to use "MME Group id+mme code+mme UE S1AP ID" as the indoor user identifier with global uniqueness in a certain time interval (e.g. 1 to 3 hours).
Specifically, the MDT data includes not only information such as a time identifier (timestamp), a user identifier, a cell identifier, an RSRP (Reference Signal Receiving Power, reference signal received power), and the like, but also service cell measurement information, neighbor cell measurement information, and the like, and various information can be used as a primary key by using the user identifier to form an MDT sampling point data. Before obtaining the indoor user identifier, the server 104 needs to obtain MDT data first, and because the MDT data includes a plurality of 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 the user identifier as a primary key, considering whether the indoor distribution system has a fault to be monitored, the MDT data needs to be screened out of sampling point data with a primary service cell type of "indoor" (the cell type includes "indoor" and "outdoor"), that is, the sampling point data with a cell type belonging to "outdoor" is screened out, so that the user identifier, that is, the indoor user identifier in the remaining sampling point data can be obtained.
And 204, obtaining MDT data corresponding to the indoor division user identification in the total MDT data, and screening out indoor division MDT data corresponding to the indoor division fixed user identification in the total MDT data according to the MDT data corresponding to the indoor division user identification.
The total amount of MDT data may be MDT sampling data under wider conditions set in terms of sampling time, sampling range, and the like, with respect to the MDT data.
Specifically, after screening and acquiring the indoor division user identifiers in the MDT data, the server 104 may extract, in time sequence, MDT sampling data corresponding to each indoor division user identifier, that is, MDT data corresponding to the indoor division user identifier, from the total MDT data, and then associate a base station basic information table and a base station cell neighbor table, analyze behavior characteristics of each user under the indoor distributed system site, that is, according to the MDT data corresponding to each indoor division user identifier, first screening out an indoor division fixed user identifier in the total MDT data, and further extract indoor division MDT data corresponding to each indoor division fixed user identifier.
And 206, acquiring historical room-division MDT data corresponding to the room-division fixed user identification, and comparing the historical room-division MDT data with the room-division MDT data.
The historical indoor distribution system MDT data refers to indoor distribution system MDT data correspondingly recorded by each indoor distribution system in a preset historical time period (for example, the historical period of the same acquisition period as the MDT data).
Specifically, after obtaining the historical room-score MDT data corresponding to each room-score fixed user identifier, the server 104 may establish a historical statistical model by using the historical room-score MDT data as a model sample, so as to use the historical statistical model to input the room-score MDT data, compare the room-score MDT data with the historical room-score MDT data, and finally output a classification comparison result.
More specifically, the historical statistical model is built by sampling data of a historical time period, but the historical time period needs to be close to the current sampling time and has enough quantity, so that MDT data corresponding to room division user identifiers with 3 historical same phases from the current sampling time can be obtained as historical room division MDT data.
For example, if the sampling time of the MDT data obtained in step 202 is "10" on monday: 00-11:00 "period, the historical time period may be the current monday period" 10:00-11: the first three monday periods of 00", that is, the sampling time of the MDT data, the total MDT data, and the historical chamber fraction MDT data may all be the sampling data of the same time interval.
Step 208, determining a 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 faults.
The historical indoor distribution MDT data comprises a historical average fixed user number, a historical fixed user sampling point number, a historical user occupation proportion, a historical average coverage level, a historical average coverage quality and historical traffic (historical uplink traffic and historical downlink traffic).
Specifically, the historical indoor distribution MDT data and the indoor distribution MDT data are subjected to classification comparison, after classification comparison results are obtained, the duty ratio of each classification comparison result in preset weights can be counted, so that the fault probability value of the indoor distribution system is determined, when the fault probability value reaches a preset fault prompt threshold, the fault probability value indicates that a fault exists in a passive device in the indoor distribution system which is analyzed currently, the server 104 can further generate a system fault prompt and send the system fault prompt to the terminal 102, and after the terminal 102 receives the system fault prompt, workers are prompted to process the fault in time.
According to the indoor distribution system fault monitoring method based on the MDT data, the indoor distribution user identification in the MDT data is obtained, the indoor distribution user identification is utilized to obtain the MDT data corresponding to the indoor distribution user identification in the total MDT data, the indoor distribution MDT data corresponding to the indoor distribution fixed user identification in the total MDT data is screened out according to the MDT data corresponding to the indoor distribution user identification, the historical indoor distribution MDT data corresponding to the indoor distribution fixed user identification is obtained, the historical indoor distribution MDT data is compared with the indoor distribution 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 are faulty or not can be effectively monitored, and the accuracy of fault monitoring of the indoor distribution system is improved.
In one embodiment, as shown in FIG. 3, step 202 includes:
step 302, obtaining MDT data in a preset period;
step 304, extracting cell division cell MDT data in the MDT data according to the cell identification in the MDT data;
step 306, determining the user identification in the cell MDT data as the cell user identification.
Wherein, the MDT data within the preset period may refer to monday "10:00-11: the MDT data collected during the 00 "period, it is understood that in other embodiments, the MDT data during other predetermined periods may be used.
Specifically, the server 104 may acquire the indoor division user identifier in the MDT data, which may be the manner of acquiring the MDT data in the preset period, and because the MDT data includes a plurality of user identifiers and corresponding cell identifiers thereof, and the cell types of different cell identifiers are different, the indoor division cell MDT data in the MDT data may be extracted by screening the cell identifiers, that is, after the cell types of each cell identifier are determined by matching the MDT data with a pre-stored base station basic information table, the cell type is screened out as the "indoor" cell identifier, and then the corresponding MDT data is the indoor division cell MDT data, and the user identifier of the indoor division cell MDT data is the indoor division user identifier.
More specifically, since the MDT data may have a situation that the user identifier is repeated, after the MDT data of the indoor partition cell is obtained, the repeated user identifier in the MDT data of the indoor partition cell may be subjected to the deduplication processing, so that the different indoor partition user identifiers may be obtained.
In one embodiment, as shown in FIG. 4, step 304 includes:
step 402, obtaining a base station basic information table; the base station basic information table comprises a plurality of base station cell identifications; the plurality of base station cell identifiers respectively have corresponding cell types;
step 404, the cell identifier in the MDT data is matched with the cell identifiers of the plurality of base stations, and the target base station cell identifier is determined; the target base station cell identifier is a base station cell identifier matched with the cell identifier;
and step 406, if the cell type corresponding to the target base station cell identifier is an indoor cell type, extracting MDT data of the cell identifier matched with the target base station cell identifier from the MDT data, and taking the MDT data as the indoor cell MDT data.
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 pre-stored in a database or obtained from other servers, and the base station basic information table can be used for identifying the type of each cell identification in the MDT data obtained at present.
Specifically, since the cell types to which the cell identifier belongs include "indoor" and "outdoor", after obtaining the MDT data in the preset period, the cell identifier needs to be matched with a plurality of base station cell identifiers included in the base station basic information table, and the cell type to which the cell identifier corresponds can be determined by obtaining the target base station cell identifier matched with the cell identifier in the base station basic information table, that is, when the cell type to which the target base station cell identifier corresponds is the indoor cell type, the cell type to which the cell identifier corresponds to be matched is determined to be "indoor", and the MDT data corresponding to the cell identifier is screened out, so that the cell division cell MDT data can be obtained.
In one embodiment, as shown in FIG. 5, step 204 includes:
step 502, obtaining the total MDT data in a preset period;
step 504, extracting the MDT data corresponding to the indoor user identifier from the total MDT data according to a time sequence, and taking the MDT data as indoor user MDT data;
step 506, according to the cell identifier corresponding to the indoor division user identifier, indoor division fixed user MDT data in the indoor division user MDT data are screened out;
and step 508, extracting the MDT data of the indoor fixed user, wherein the cell type corresponding to the cell identifier is the MDT data of the indoor cell type, and the MDT data is used as the indoor MDT data corresponding to the indoor fixed user identifier.
Specifically, after the server 104 screens the room user identifiers in the MDT data, the room user identifiers may be further used to screen the room user MDT data corresponding to the room user identifiers in the total MDT data, where the screening manner may be to extract the room user MDT data corresponding to the room user identifiers one by one in a time sequence by using the room user identifiers as primary keys, so as to obtain room user MDT data corresponding to the room user identifiers, and further analyze the cell identifiers corresponding to the room user identifiers in the room user MDT data, for example, the number of the cell identifiers and/or the information such as the adjacent relation and the distance between the cells corresponding to the cell identifiers, so as to screen the room fixed user MDT data in the room user MDT data.
At this time, the user identification included in the compartment fixed user MDT data is not an accurate compartment fixed user identification because: since there is a high probability that there is also non-cell MDT sampling data corresponding to the cell id among the cell-specific MDT data, that is, the cell-specific MDT data acquired by the server 104 may include MDT data sampled when the cell id is not the cell-specific MDT data, although the cell-specific MDT data is the MDT data corresponding to the cell id. Therefore, after obtaining the MDT data of the indoor fixed user, in order to further determine the indoor MDT data corresponding to each indoor fixed user identifier, it is also necessary to analyze the cell identifier in the indoor MDT data, and screen out the MDT data of which the cell type to which the cell identifier belongs is "indoor cell type", that is, screen out the MDT data of which the cell identifier in the indoor fixed user MDT data belongs to which the cell type is "outdoor cell type", where the remaining MDT data is the indoor MDT data corresponding to the indoor fixed user identifier.
In one embodiment, as shown in FIG. 6, step 506 includes:
step 602, performing deduplication processing on the cell identifier corresponding to the indoor user identifier;
step 604, a base station basic information table and a base station cell neighbor table are obtained, and the base station basic information table and the base station cell neighbor table are respectively subjected to association analysis processing with cell identifiers corresponding to the room division user identifiers after duplication removal, and room division fixed user MDT data in the room division user MDT data are screened out.
Specifically, after obtaining the indoor unit MDT data of the indoor unit user identifier, the server 104 may perform deduplication processing on the cell identifier corresponding to each indoor unit user identifier in the indoor unit MDT data to obtain a unique cell identifier corresponding to each indoor unit user identifier, so as to analyze the unique cell identifier subsequently, and further screen out indoor unit fixed user MDT data included in the indoor unit MDT data.
More specifically, the method for obtaining the MDT data of the indoor fixed user may be to obtain the base station basic information table and the base station cell neighbor table first, where the base station basic information table and the base station cell neighbor table may be obtained by directly reading a database pre-stored in the server 104, or may be obtained by storing the base station basic information table and the base station cell neighbor table in other servers to request for obtaining. The purpose of obtaining the base station basic information table is to inquire the cell longitude and latitude information of the corresponding cell of each cell identifier in the indoor division fixed user MDT data, and the distance between the corresponding cells of each cell identifier can be calculated by using the cell longitude and latitude information; the purpose of acquiring the neighbor cell list of the base station is to query the cell neighbor information of the corresponding cell of each cell identifier in the MDT data of the indoor division fixed user, and determine whether the cells corresponding to each cell identifier are adjacent or not by using the cell neighbor information; and finally analyzing and extracting the indoor division fixed user MDT data in the indoor division user MDT data through the cell spacing and cell adjacent relation.
In one embodiment, as shown in FIG. 7, step 604 includes:
step 702, obtaining 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 cell longitude and latitude information;
step 704, if the number of the cell identifiers after de-duplication is less than or equal to a first number threshold, and the cell identifiers have adjacent cell adjacent information in the base station cell adjacent table, screening out the MDT data of the indoor user identifiers in the indoor user MDT data, and using the MDT data as the indoor fixed user MDT data;
step 706, if the number of the cell identifiers after the duplication removal is greater than or equal to a second number threshold, the cell fixed user MDT data in the cell user MDT data is screened out according to the cell longitude and latitude information of the cell identifiers in the base station basic information table.
The cell neighbor information may refer to cell information having a neighbor relation, for example, cell a is adjacent to cell B.
The longitude and latitude information of the cell may refer to longitude and latitude information of the cell, for example, longitude and latitude information of the cell a is "29 ° 58 ° north latitude, 115 ° east longitude 05'".
Wherein the first number threshold may be a value of 2 in the present embodiment; the second number threshold may be a value of 3 in this embodiment. It will be appreciated that in other embodiments the corresponding threshold may be set in accordance with traffic requirements.
Specifically, the server 104 performs association analysis processing on the obtained base station basic information table and the obtained base station cell neighbor table and the cell identifier after de-duplication, which actually includes:
(1) When the cell identifier corresponding to the indoor user identifier does not exceed the first quantity threshold after the duplication is removed, and the cells corresponding to the cell identifiers are adjacent cells (determined by the cell adjacent information in the base station cell adjacent cell list), the MDT data corresponding to the indoor user identifier can be used as indoor fixed user MDT data, and the server 104 can screen the indoor user MDT data according to the analysis processing.
For example, the first number threshold is 2, when the cell identity corresponding to the single indoor user identity exists Σdeduplication (cell ID 1 Cell ID 2 Cell ID n ) And less than or equal to 2', and the cells represented by the 2 cell identifiers are adjacent cells, the MDT data corresponding to the indoor division user identifier can be used as indoor division fixed user MDT data.
(2) And when the cell identification corresponding to the indoor division user identification is de-duplicated and reaches a second quantity threshold value, acquiring the corresponding cell longitude and latitude information of the cell identification in the base station basic information table, and screening 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, the second number threshold is 3, when the cell identity "Σduplicate removal (cell ID 1 Cell ID 2 The cell IDn) is more than or equal to 3", and the latitude and longitude information of the cells corresponding to all the cell identifiers meet the preset conditions, the MDT data corresponding to the indoor unit user identifiers can be used as indoor unit fixed user MDT data.
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 the first preset distance threshold range in the base station basic information table, screening out the MDT data of the indoor unit user identifier in the indoor unit user MDT data, and using the MDT data as the indoor unit fixed user MDT data;
step 804, if the cell identifier has the cell longitude and latitude information meeting the second preset distance threshold range in the base station basic information table, obtaining MDT data of the indoor user identifier in a period adjacent to the preset period before and after the preset period, and determining whether the cell identifier corresponding to the indoor user identifier has the cell longitude and latitude information meeting the third preset distance threshold range in the base station basic information table in the period adjacent to the preset period before and after the preset period; and if yes, screening out MDT data of the indoor division user identification in the indoor division user MDT data, and taking the MDT data as the indoor division fixed user MDT data.
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 a numerical range of 400-1000 meters in this embodiment; the third preset distance threshold range may be a numerical range of 0-1000 meters in this embodiment. It will be appreciated that in other embodiments the corresponding threshold may be set in accordance with traffic requirements.
Specifically, when the cell identifier corresponding to the indoor user identifier reaches a second number threshold after the duplication is removed, acquiring the longitude and latitude information of the cell corresponding to the cell identifier in a 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 division user identifier in the indoor division user MDT data, and the MDT data is used as indoor division fixed user MDT data; 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, MDT data of the indoor user identification in a period adjacent to the preset period can be obtained, whether the longitude and latitude information of the cell identified in each cell in the total period meets the third preset distance threshold range is judged, and if so, MDT data of the indoor user identification in the indoor user MDT data can be screened out and used as indoor fixed user MDT data.
For example, when the second number threshold is 3, the first preset distance threshold range is 0-400 meters, the second preset distance threshold range is 400-1000, and the third preset distance threshold range is 0-1000 meters, the cell identifier corresponding to the indoor user identifier has' sigma de-duplication (cell ID) 1 Cell ID 2 Cell IDn) is greater than or equal to 3", and the longitude and latitude information of the cells corresponding to all the indoor partition cell identifiers meets a first preset distance threshold range of 0-400 meters, namely, the distance between the indoor partition cells is within a range of 400 meters, the MDT data corresponding to the indoor partition user identifiers can be used as indoor partition fixed user MDT data.
For another example, if the longitude and latitude information of the cells corresponding to all the cell identifications of the indoor user identification meets the second preset distance threshold range of 400-1000 meters, the MDT data of the target user identification in a period adjacent to the preset period (three periods in total, for example, the preset period is 1 hour of 10:00am-11:00am, the total period is 3 hours of 9:00am-12:00 am) needs to be further acquired, and if the longitude and latitude information of the cells corresponding to the cell identifications in the total three periods meets the third preset distance threshold range of 0-1000 meters, the MDT data corresponding to the indoor user identification can be used as the indoor fixed user MDT data.
It should be noted that, after the server 104 screens out all the indoor fixed subscriber MDT data and further screens out the indoor fixed subscriber MDT data with the cell type being the indoor cell type and corresponding to the indoor fixed subscriber identifier, the server may perform deduplication processing with each indoor fixed subscriber identifier as a primary key to determine the indoor MDT data that can be finally used as a basis for subsequent analysis processing.
In one embodiment, as shown in FIG. 9, step 206 includes:
step 902, acquiring historical room division MDT data corresponding to the room division fixed user identification in a preset period; the historical indoor distribution MDT data comprises historical average fixed user numbers, historical fixed user sampling points, historical user occupation ratios, historical average coverage levels, historical average coverage quality, historical uplink traffic and historical downlink traffic;
step 904, 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 room-division MDT data respectively.
Specifically, the preset period may be a history period that is contemporaneous with the MDT data acquisition period, for example, the acquisition period of MDT data is 1 month and 5 days "10:00-11:00 "period, the acquisition period of the historical room division MDT data is 10 for the first three periods (1 month 2-4 days): 00-11:00 "period.
More specifically, acquisition ofThe formula for the historical average fixed number of users includes: history period 1 fixed user number = Σdeduplication (fixed user ID 1 Fixed user ID 2 Fixed user ID n ) The method comprises the steps of carrying out a first treatment on the surface of the History period 2 fixed user number = Σdeduplication (fixed user ID 1 Fixed user ID 2 Fixed user ID n ) The method comprises the steps of carrying out a first treatment on the surface of the History period 3 fixed user number = Σdeduplication (fixed user ID 1 Fixed user ID 2 Fixed user ID n ) The method comprises the steps of carrying out a first treatment on the surface of the Historical average fixed user number=avg (history period 1 fixed user number+history period 2 fixed user number+history period 3 fixed user number). The manner of obtaining the historical fixed user sampling points can be as follows: with the fixed user identity of the room as the primary key (TYPE) User ID =fixed user), statistics of historical MDT data of the same user (historical fixed user sample points= Σ (MDT sample data)). The manner of obtaining the historical user occupancy proportion may be: counting the ratio of the number of MDT sampling data occupied by each cell division fixed user to the number of all MDT sampling data (historical user occupation ratio is = Σ (MDT sampling data, cell ID = cell division cell)/(Σ (MDT total sampling data)), TYPE User ID =fixed user). The manner of obtaining the historical average coverage level may be: the average coverage level (RSQP) and the average coverage quality (RSRQ) when each cell is occupied by each cell fixed user are counted, and the historical average coverage level=AVG (RSRP) can be obtained 1 ，RSRP 2 ，RSRP n ) Historical average coverage quality = AVG (RSRQ) 1 ，RSRQ 2 ，RSRQ n ). The way to obtain historical uplink traffic may be: statistics of uplink data amount generated when each cell is occupied by each cell fixed user, such as historical uplink traffic amount = Σ { Σ (PDCP layer uplink data flow ERAB) u1 +pdcp layer uplink data flow ERAB u2 +pdcp layer uplink data flow ERAB u3 +pdcp layer uplink data flow ERAB u4 +pdcp layer uplink data flow ERAB u5 +pdcp layer uplink data flow ERAB u6 +pdcp layer uplink data flow ERAB u7 +pdcp layer uplink data flow ERAB u8 ) Cell ID = cell division cell }.
Further, PDCP (Packet Data Convergence Protocol) is an abbreviation for packet data convergence protocol; ERAB (Evolved Radio Access Bearer) refers to evolved radio access bearer, and in this embodiment refers to transmitting ERAB packets of UE (user terminal) and eNB (evolved base station), since there are 8 in LTE (Long Term Evolution) networks, that is, there can be at most 8 different services online simultaneously, there are 8 uplink data flows to be counted.
More specifically, the manner of acquiring the historical downlink traffic may be: statistics of downlink data volume generated when each cell is occupied by each cell fixed user, such as historical downlink traffic volume = Σ { Σ (PDCP layer downlink data flow ERAB) d1 +pdcp layer downstream data flow ERAB d2 +pdcp layer downstream data flow ERAB d3 +pdcp layer downstream data flow ERAB d4 +pdcp layer downstream data flow ERAB d5 +pdcp layer downstream data flow ERAB d6 +pdcp layer downstream data flow ERAB d7 +pdcp layer downstream data flow ERAB d8 ) Cell ID = cell division cell }.
In one embodiment, as shown in fig. 10, the historical compartment MDT data includes a historical average fixed user number, a historical fixed user sampling point number, a historical user occupancy proportion, a historical average coverage level, a historical average coverage quality, and a historical traffic, and step 208 includes:
step 1002, if the ratio of the fixed number of users in the indoor distribution MDT data to the historical average fixed number of users is smaller than a preset first classification threshold, determining that a first fault probability value of the indoor distribution system is 1;
step 1004, if the ratio of the fixed user sampling points in the indoor distribution MDT data to the historical fixed user sampling points is smaller than a preset second classification threshold, determining that a second fault probability value of the indoor distribution system is 2;
Step 1006, 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 a third fault probability value of the indoor distribution system is 2;
step 1008, determining that a fourth fault probability value of the indoor distribution system is 2 if a 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;
step 1010, 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 a fifth fault probability value of the indoor distribution system is 2;
step 1012, if the ratio of the traffic in the indoor distribution MDT data to the historical traffic is smaller than a preset sixth classification threshold, determining that a sixth fault probability value of the indoor distribution system is 1;
step 1014, counting the first fault probability value, the second fault probability value, the third fault probability value, the fourth fault probability value, the fifth fault probability value and the sixth fault probability value to obtain a system fault probability value;
step 1016, if the system fault probability value meets a preset fault threshold, prompting that the indoor distribution system has a fault.
The first to sixth classification thresholds may be represented as "80%, 20%, 3dBm, 3dm, 80%" in this embodiment.
Specifically, the historical traffic includes historical uplink traffic and historical downlink traffic, and the manner of determining the sixth fault probability value may be: and compared with the historical traffic (historical uplink traffic + historical downlink traffic), the traffic (current uplink traffic + current downlink traffic) under the indoor distribution system in the current period is reduced by more than a certain threshold (such as 80%), and the probability value of the passive device fault of the indoor distribution system can be judged to be 1.
More specifically, the manner of obtaining the system fault probability value may be: the total probability of occurrence of the faults of the passive devices is = Σ (first fault probability value, second fault probability value, third fault probability value, fourth fault probability value, fifth fault probability value, sixth fault probability value), if the total probability of occurrence of the faults of the passive devices is more than or equal to 8, the fault of the indoor distribution system is judged, and the server 104 can generate a fault prompt at the moment and send the fault prompt to the terminal 102 to prompt the staff to need on-site processing; if the total probability of the faults of the passive devices is more than or equal to 8 and is more than or equal to 5, the first 2 time periods are associated, and if the total probability of the faults of the passive devices is more than or equal to 5 under the indoor distribution system with continuous 3 time periods, the indoor distribution system is judged to have faults and field processing is needed; if the total probability of the faults of the passive devices is more than or equal to 3, the first 5 time periods are associated, and if the total probability of the faults of the passive devices is more than or equal to 3 under the indoor distribution system with continuous 6 time periods, the indoor distribution system is judged to have faults, and field processing is needed.
In the embodiment, whether the passive devices in the indoor distribution system are faulty or not can be effectively monitored, and further the accuracy of fault monitoring of the indoor distribution system is improved.
It should be understood that, although the steps in the flowcharts of fig. 2-10 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in FIGS. 2-10 may include multiple steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the steps or stages in other steps or 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 compartment user identifier in the MDT data; the indoor user identification is determined according to the cell identification in the MDT data;
the data acquisition module 1104 is configured to acquire MDT data corresponding to the indoor unit user identifier in the total MDT data, and screen out indoor unit MDT data corresponding to the indoor unit fixed user identifier in the total MDT data according to the MDT data corresponding to the indoor unit user identifier;
a historical data acquisition module 1106, configured to acquire historical room-score MDT data corresponding to the room-score fixed user identifier, and compare the historical room-score MDT data with the room-score MDT data;
the fault judging module 1108 is configured to determine a fault probability value of the indoor distribution system according to a 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 faults.
In one embodiment, the identifier obtaining module 1102 is further configured to obtain MDT data within a preset period of time; extracting cell division cell MDT data 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 division cell as the indoor division user identification.
In one embodiment, the identifier acquisition module 1102 is further configured to acquire a base station basic information table; the base station basic information table comprises a plurality of base station cell identifications; the plurality of base station cell identifiers respectively have corresponding cell types; the cell identification in the MDT data is matched with the cell identifications of the plurality of base stations, and a target base station cell identification is determined; the target base station cell identifier is a base station cell identifier matched with the cell identifier; and if the cell type corresponding to the target base station cell identifier is an indoor cell type, extracting MDT data of the cell identifier matched with the target base station cell identifier from the MDT data, and taking the MDT data as the indoor cell MDT data.
In one embodiment, the data acquisition module 1104 is further configured to acquire the full amount of MDT data within a preset period of time; extracting MDT data corresponding to the indoor user identification from the total MDT data according to a time sequence, and taking the MDT data as MDT data corresponding to the indoor user identification; 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; and extracting MDT data of the indoor fixed user, wherein the cell type of the cell identifier is MDT data of an indoor cell type, and the MDT data is used as the indoor MDT data corresponding to the indoor fixed user identifier.
In one embodiment, the data acquisition module 1104 is further configured to perform deduplication processing on the cell identifier corresponding to the indoor user identifier; and acquiring a base station basic information table and a base station cell neighbor table, respectively carrying out association analysis processing on the base station basic information table and the base station cell neighbor table and cell identifiers corresponding to the indoor division user identifiers after duplication removal, and screening indoor division fixed user MDT data in the indoor division user MDT data.
In one embodiment, the data acquisition module 1104 is further configured to acquire 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 cell longitude and latitude information; if the number of the cell identifiers after the duplicate removal is smaller than or equal to a first number threshold value and the cell identifiers have adjacent cell adjacent information in the base station cell adjacent cell table, screening out MDT data of the indoor division user identifiers in the indoor division user MDT data as the indoor division fixed user MDT data; and if the number of the cell identifications after the duplication removal is greater than or equal to a second number threshold, screening out the indoor fixed user MDT data in the indoor user MDT data according to the cell longitude and latitude information of the cell identifications in the base station basic information table.
In one embodiment, the data obtaining module 1104 is further configured to screen out MDT data of the indoor unit user identifier in the indoor unit user MDT data as the indoor unit fixed user MDT data 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 that meets a first preset distance threshold range in the base station basic information table; if the number of the cell identifications after the duplication removal is greater 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, MDT data of the indoor user identifications in a period adjacent to the preset period is obtained, and whether the cell identifications corresponding to the indoor user identifications have cell longitude and latitude information meeting a third preset distance threshold range in the base station basic information table is determined in the period adjacent to the preset period; and if yes, screening out MDT data of the indoor division user identification in the indoor division user MDT data, and taking the MDT data as the indoor division fixed user MDT data.
In one embodiment, the historical data obtaining module 1106 is further configured to obtain historical compartment MDT data corresponding to the compartment fixed user identifier within a preset period; the historical indoor distribution MDT data comprises historical average fixed user numbers, historical fixed user sampling points, historical user occupation ratios, historical average coverage levels, historical average coverage quality, historical uplink traffic and historical downlink traffic; and 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 MDT data respectively.
In one embodiment, the fault determining module 1108 is further configured to determine that the 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 fixed user sampling points in the indoor distribution MDT data to the historical fixed user sampling points is smaller than a preset second classification threshold value, determining that a 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 value, determining that a 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 value, determining that a 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 value, determining that a fifth fault probability value of the indoor distribution system is 2; if the ratio of the traffic in the indoor MDT data to the historical traffic is smaller than a preset sixth classification threshold value, 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 faults.
In this embodiment, the room division user identifier in the MDT data is obtained, and the room division user identifier is used to obtain the MDT data corresponding to the room division user identifier in the total MDT data, so that the room division MDT data corresponding to the room division fixed user identifier in the total MDT data is screened out according to the MDT data corresponding to the room division user identifier, then the historical room division MDT data corresponding to the room division fixed user identifier is obtained, and the historical room division MDT data is compared with the room division 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 scheme, whether the passive devices in the indoor distribution system are in failure or not can be effectively monitored, and the accuracy of monitoring the failure of the indoor distribution system is further improved.
For specific limitations on the indoor distribution system fault monitoring device based on the MDT data, reference may be made to the above limitation on the indoor distribution system fault monitoring method based on the MDT data, which is not repeated herein. The modules in the indoor distribution system fault monitoring device based on MDT data can be all or partially realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which 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 includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store 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, when executed by a processor, implements a method for indoor distributed system fault monitoring based on MDT data.
It will be appreciated by those skilled in the art that the structure shown in fig. 12 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, storing a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.

Claims (11)

1. An indoor distribution system fault monitoring method based on MDT data, which is characterized by comprising the following steps:
acquiring a room division user identifier in MDT data; the indoor user identification is determined according to the cell identification in the MDT data;
obtaining MDT data corresponding to the indoor division user identification in the total MDT data, and screening out indoor division MDT data corresponding to the indoor division fixed user identification in the total MDT data according to the MDT data corresponding to the indoor division user identification;
Acquiring historical room-division MDT data corresponding to the room-division fixed user identification, and comparing the historical room-division MDT data with the room-division MDT data;
determining a fault probability value of an indoor distribution system according to a 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;
the step of obtaining the MDT data corresponding to the indoor division user identifier in the total MDT data, and screening out the indoor division MDT data corresponding to the indoor division fixed user identifier in the total MDT data according to the MDT data corresponding to the indoor division user identifier, comprises the following steps:
acquiring the total MDT data in a preset period;
extracting MDT data corresponding to the indoor user identification from the total MDT data according to a time sequence, and taking the MDT data as indoor user MDT data;
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;
and extracting MDT data of the indoor fixed user, wherein the cell type corresponding to the cell identifier is MDT data of the indoor cell type, and the MDT data is used as the indoor MDT data corresponding to the indoor fixed user identifier.
2. The method of claim 1, wherein the obtaining the compartment user identification in the MDT data comprises:
obtaining MDT data in a preset period;
extracting cell division cell MDT data 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 division cell as the indoor division user identification.
3. The method according to claim 2, wherein the extracting the cell-division-cell MDT data in the MDT data according to the cell identity 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 plurality of base station cell identifiers respectively have corresponding cell types;
the cell identification in the MDT data is matched with the cell identifications of the plurality of base stations, and a target base station cell identification is determined; the target base station cell identifier is a base station cell identifier matched with the cell identifier;
and if the cell type corresponding to the target base station cell identifier is an indoor cell type, extracting MDT data of the cell identifier matched with the target base station cell identifier from the MDT data, and taking the MDT data as the indoor cell MDT data.
4. The method according to claim 1, wherein the step of screening out the indoor fixed subscriber MDT data from among the indoor subscriber MDT data according to the cell identifier corresponding to the indoor subscriber identifier includes:
performing duplicate removal processing on the cell identifier corresponding to the indoor user identifier;
and acquiring a base station basic information table and a base station cell neighbor table, respectively carrying out association analysis processing on the base station basic information table and the base station cell neighbor table and cell identifiers corresponding to the indoor division user identifiers after duplication removal, and screening indoor division fixed user MDT data in the indoor division user MDT data.
5. The method of claim 4, wherein the obtaining the base station basic information table and the base station cell neighbor table, and performing association analysis processing on the base station basic information table and the base station cell neighbor table and cell identifiers corresponding to the room-division user identifiers after de-duplication respectively, and screening room-division fixed user MDT data in the room-division user MDT data, includes:
acquiring 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 cell longitude and latitude information;
If the number of the cell identifiers after the duplicate removal is smaller than or equal to a first number threshold value and the cell identifiers have adjacent cell adjacent information in the base station cell adjacent cell table, screening out MDT data of the indoor division user identifiers in the indoor division user MDT data as the indoor division fixed user MDT data;
and if the number of the cell identifications after the duplication removal is greater than or equal to a second number threshold, screening out the indoor fixed user MDT data in the indoor user MDT data according to the cell longitude and latitude information of the cell identifications in the base station basic information table.
6. The method of claim 5, wherein the screening out the indoor fixed subscriber MDT data from the indoor subscriber 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 identifier 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 user identifier in the indoor user MDT data as the indoor fixed user MDT data;
if the cell identifier has the cell longitude and latitude information meeting a second preset distance threshold range in the base station basic information table, MDT data of the indoor user identifier in a period adjacent to the preset period is obtained, the cell identifier corresponding to the indoor user identifier is determined in a period adjacent to the preset period, and whether the cell longitude and latitude information meeting a third preset distance threshold range is provided in the base station basic information table; and if yes, screening out MDT data of the indoor division user identification in the indoor division user MDT data, and taking the MDT data as the indoor division fixed user MDT data.
7. The method of claim 1, wherein the obtaining historical compartment MDT data corresponding to the compartment fixed user identification and comparing the historical compartment MDT data to the compartment MDT data comprises:
acquiring historical room-division MDT data corresponding to the room-division fixed user identification in a preset period; the historical indoor distribution MDT data comprises historical average fixed user numbers, historical fixed user sampling points, historical user occupation ratios, historical average coverage levels, historical average coverage quality, historical uplink traffic and historical downlink traffic;
and 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 MDT data respectively.
8. The method of claim 1, wherein the historical indoor distribution 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 wherein the determining the fault probability value of the indoor distribution system is based on a classification comparison 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, and comprises the following steps:
If the ratio of the fixed user number in the indoor distribution MDT data to the historical average fixed user number is smaller than a preset first classification threshold value, determining that a first fault probability value of an indoor distribution system is 1;
if the ratio of the fixed user sampling points in the indoor distribution MDT data to the historical fixed user sampling points is smaller than a preset second classification threshold value, determining that a 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 value, determining that a 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 value, determining that a 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 value, determining that a fifth fault probability value of the indoor distribution system is 2;
if the ratio of the traffic in the indoor distribution MDT data to the historical traffic is smaller than a preset sixth classification threshold value, determining that a sixth fault probability value of the indoor distribution system is 1;
Counting the first fault probability value, the second fault probability value, the third fault probability value, the fourth 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 faults.
9. 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 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 indoor division user identification in the total MDT data, and screening out indoor division MDT data corresponding to the indoor division fixed user identification in the total MDT data according to the MDT data corresponding to the indoor division user identification;
the historical data acquisition module is used for acquiring historical room-division MDT data corresponding to the room-division fixed user identification and comparing the historical room-division MDT data with the room-division MDT data;
the fault judging module is used for determining a 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;
The data acquisition module is also used for acquiring the total MDT data in a preset period; extracting MDT data corresponding to the indoor user identification from the total MDT data according to a time sequence, and taking the MDT data as indoor user MDT data; 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; and extracting MDT data of the indoor fixed user, wherein the cell type corresponding to the cell identifier is MDT data of the indoor cell type, and the MDT data is used as the indoor MDT data corresponding to the indoor fixed user identifier.
10. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 8 when the computer program is executed.
11. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 8.
CN202010289972.2A 2020-04-14 2020-04-14 Indoor distribution system fault monitoring method and device based on MDT data Active CN111459702B (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7239680B2 (en) * 2002-07-17 2007-07-03 Broadcom Corporation Methods for performing channel diagnostics

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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

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