CN117042063A - Abnormality determination method and device, electronic equipment and storage medium - Google Patents

Abnormality determination method and device, electronic equipment and storage medium Download PDF

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Publication number
CN117042063A
CN117042063A CN202310779636.XA CN202310779636A CN117042063A CN 117042063 A CN117042063 A CN 117042063A CN 202310779636 A CN202310779636 A CN 202310779636A CN 117042063 A CN117042063 A CN 117042063A
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China
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parameter
cell
type
value
target
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杨宗林
孙世辉
焦俊楠
李莉
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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Priority to CN202310779636.XA priority Critical patent/CN117042063A/en
Publication of CN117042063A publication Critical patent/CN117042063A/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H04W36/00835—Determination of neighbour cell lists
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/08—Reselecting an access point
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/24—Reselection being triggered by specific parameters
    • H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data

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

Abstract

The application provides an anomaly determination method, an anomaly determination device, electronic equipment and a storage medium, relates to the technical field of networks, and solves the technical problems that data are required to be acquired from different network management equipment in a manual checking parameter configuration mode in the related technology, and checking modes of different personnel are possibly different, so that whether a cell is anomalous or not cannot be accurately and effectively determined. The method comprises the following steps: acquiring network configuration parameters of a target cell and cell type of the target cell; inquiring a first corresponding relation based on the parameter type of the first parameter and the cell type of the target cell, and acquiring a first numerical value interval of the first parameter, wherein the first corresponding relation is used for indicating: one or more cell types and parameter types corresponding to a first numerical interval, wherein the first parameter is one of the parameters; and determining that the target cell is in an abnormal state when the original value of the first parameter is outside the first value interval of the first parameter.

Description

Abnormality determination method and device, electronic equipment and storage medium
Technical Field
The present application relates to the field of network technologies, and in particular, to an anomaly determination method, an anomaly determination device, an electronic device, and a storage medium.
Background
Currently, for a certain cell, whether the cell has an abnormality can be determined by manually checking parameter configuration.
However, in the above method, data needs to be acquired from different network management devices, and the checking modes of different personnel may be different, so that the problems of low efficiency and low accuracy exist, and whether the cell is abnormal may not be accurately and effectively determined.
Disclosure of Invention
The application provides an anomaly determination method, an anomaly determination device, electronic equipment and a storage medium, which solve the technical problems that in the related art, data are required to be acquired from different network management equipment in an artificial checking parameter configuration mode, and checking modes of different personnel are possibly different, so that whether a cell is anomalous or not can not be accurately and effectively determined.
In a first aspect, the present application provides an anomaly determination method, including: acquiring network configuration parameters of a target cell and cell types of the target cell, wherein the network configuration parameters comprise a parameter type of each parameter in a plurality of parameters and an original numerical value of each parameter, the parameter type of one parameter is a switching type parameter, a reselection type parameter, an access type parameter, a power control type parameter or a CSFB type parameter, and the cell types of the target cell are a micro cell, a cell parting cell, a 900M cell or a non-900M macro station cell; inquiring a first corresponding relation based on the parameter type of the first parameter and the cell type of the target cell, and acquiring a first numerical value interval of the first parameter, wherein the first corresponding relation is used for indicating: one or more cell types and parameter types corresponding to a first numerical interval, wherein the first parameter is one of the parameters; and determining that the target cell is in an abnormal state when the original value of the first parameter is outside the first value interval of the first parameter.
Optionally, in the case that the original value of the first parameter is within the first value interval of the first parameter, a second value interval of the first parameter is obtained by querying a second correspondence based on the parameter type of the first parameter and the cell type of the target cell, and a second value interval of the second parameter is obtained by querying the second correspondence based on the parameter type of the second parameter and the cell type of the target cell, where the second parameter is a parameter other than the first parameter, a minimum value in the first value interval of the first parameter is smaller than a minimum value in the second value interval of the first parameter, and a maximum value in the first value interval of the first parameter is larger than a maximum value in the second value interval of the first parameter, and the second correspondence is used for indicating: cell type and parameter type corresponding to one or more second numerical intervals; and determining that the target cell is in an abnormal state when the original value of the first parameter is outside the second value interval of the first parameter and the original value of the second parameter is outside the second value interval of the second parameter.
In the present application, when the original value of the first parameter is within the first value interval of the first parameter, it is indicated that there is no abnormality (or may be understood as a normal parameter) in the first parameter, that is, the first parameter may be used normally, but the confidence level of the first parameter being the normal parameter may not be high, or the target cell is not currently in a normal state (or is in an abnormal state). At this time, the electronic device may further determine whether the target cell is actually in an abnormal state (or a normal state), that is, the electronic device may query the second corresponding relationship based on the parameter type of the first parameter and the cell type of the target cell to obtain a second value interval of the first parameter, and query the second corresponding relationship based on the parameter type of the second parameter and the cell type of the target cell to obtain a second value interval of the second parameter; when the original value of the first parameter is located outside the second value interval of the first parameter and the original value of the second parameter is located outside the second value interval of the second parameter, it is indicated that both the first parameter and the second parameter are abnormal, and it can be understood that both the first parameter and the second parameter cannot be used normally, so that the electronic device can determine that the target cell is in an abnormal state.
Optionally, under the condition that the original value of the first parameter is within the first value interval of the first parameter, acquiring an account name of a target network device, where the target network device is a network device corresponding to the target cell; inquiring a third corresponding relation based on the account name of the target network equipment and the parameter type of the first parameter, and acquiring a conversion rule of the first parameter, wherein the third corresponding relation is used for indicating the account name and the parameter type corresponding to one or more conversion rules, and one conversion rule comprises at least one conversion condition; determining a target value of the first parameter based on the original value of the first parameter and a conversion condition included in a conversion rule of the first parameter; and determining that the target cell is in an abnormal state when the target value of the first parameter is outside the first value interval of the first parameter.
In the present application, when the original value of the first parameter is within the first value interval of the first parameter, it is indicated that there is no abnormality (or may be understood as a normal parameter) in the first parameter, that is, the first parameter may be used normally, but the confidence level of the first parameter being the normal parameter may not be high, or the target cell is not currently in a normal state (or is in an abnormal state). At this time, the electronic device needs to further determine whether the target cell is actually in an abnormal state (or a normal state), that is, the electronic device may obtain an account name of the target network device, query a third corresponding relationship based on the account name and a parameter type of the first parameter, obtain a conversion rule of the first parameter, further, determine, by the electronic device, a target value of the first parameter based on an original value of the first parameter and a conversion condition included in the conversion rule of the first parameter, and if the target value is located outside a first value interval of the first parameter, indicate that the target value is configured abnormally, and the electronic device may accurately and quickly determine that the target cell is in the abnormal state.
Optionally, generating work order information of a target work order under the condition that the target cell is in an abnormal state, wherein the work order information comprises one or more of position information of the target cell, network system of the target cell and cell frequency band of the target cell; and performing dispatch processing on target network equipment based on the work order information of the target work order, wherein the target network equipment is the network equipment corresponding to the target cell.
In the application, under the condition that the target cell is abnormal, the user perception of the target cell is poor, the electronic equipment can generate the work order information of the target work order, and the work order information is used for carrying out the order dispatching processing on the target network equipment so as to accurately and effectively process the abnormal state of the target cell, improve the user perception of the target cell and reduce the waste of communication resources.
In a second aspect, the present application provides an abnormality determination apparatus including: an acquisition module and a determination module;
the acquisition module is configured to acquire a network configuration parameter of a target cell and a cell type of the target cell, where the network configuration parameter includes a parameter type of each parameter in multiple parameters and an original numerical value of each parameter, a parameter type of one parameter is a handover type parameter, a reselection type parameter, an access type parameter, a power control type parameter or a CSFB type parameter, and the cell type of the target cell is a micro cell, a cell type cell, a 900M cell or a non-900M macro station cell; the obtaining module is further configured to query a first correspondence based on a parameter type of the first parameter and a cell type of the target cell, and obtain a first numerical value interval of the first parameter, where the first correspondence is used for indicating: one or more cell types and parameter types corresponding to a first numerical interval, wherein the first parameter is one of the parameters; the determining module is configured to determine that the target cell is in an abnormal state when the original value of the first parameter is outside the first value interval of the first parameter.
Optionally, the obtaining module is further configured to, when the original value of the first parameter is located within a first value interval of the first parameter, query a second correspondence to obtain a second value interval of the first parameter based on a parameter type of the first parameter and a cell type of the target cell, and query the second correspondence to obtain a second value interval of the second parameter based on a parameter type of the second parameter and a cell type of the target cell, where the second parameter is a parameter other than the first parameter among the plurality of parameters, a minimum value in the first value interval of the first parameter is smaller than a minimum value in the second value interval of the first parameter, and a maximum value in the first value interval of the first parameter is greater than a maximum value in the second value interval of the first parameter, where the second correspondence is used to indicate: cell type and parameter type corresponding to one or more second numerical intervals; the determining module is further configured to determine that the target cell is in an abnormal state when the original value of the first parameter is located outside a second value interval of the first parameter and the original value of the second parameter is located outside the second value interval of the second parameter.
Optionally, the obtaining module is further configured to obtain an account name of a target network device, where the target network device is a network device corresponding to the target cell, when the original value of the first parameter is within the first value interval of the first parameter; the obtaining module is further configured to query a third correspondence, based on the account name of the target network device and the parameter type of the first parameter, to obtain a conversion rule of the first parameter, where the third correspondence is used to indicate the account name and the parameter type corresponding to one or more conversion rules, and one conversion rule includes at least one conversion condition; the determining module is further configured to determine a target value of the first parameter based on the original value of the first parameter and a conversion condition included in a conversion rule of the first parameter; the determining module is further configured to determine that the target cell is in an abnormal state when the target value of the first parameter is outside the first value interval of the first parameter.
Optionally, the abnormality determining apparatus further includes a processing module; the processing module is used for generating work order information of a target work order under the condition that the target cell is in an abnormal state, wherein the work order information comprises one or more of position information of the target cell, network system of the target cell and cell frequency bands of the target cell; the processing module is further configured to perform dispatch processing on a target network device based on the work order information of the target work order, where the target network device is a network device corresponding to the target cell.
In a third aspect, the present application provides an electronic device comprising: a processor and a memory configured to store processor-executable instructions; wherein the processor is configured to execute the instructions to implement any of the above-described optional anomaly determination methods of the first aspect.
In a fourth aspect, the present application provides a computer readable storage medium having instructions stored thereon which, when executed by an electronic device, enable the electronic device to perform any one of the above-described optional anomaly determination methods of the first aspect.
The anomaly determination method, the anomaly determination device, the electronic equipment and the storage medium provided by the application can acquire the network configuration parameters of the target cell and the cell type of the target cell, wherein the network configuration parameters comprise the parameter type of each parameter in a plurality of parameters and the original numerical value of each parameter; the electronic device may then determine a first value interval for a first parameter (i.e., one of the plurality of parameters) based on the cell type of the target cell and the parameter type of the first parameter; when the original value of the first parameter is located outside the first value interval of the first parameter, it is indicated that the first parameter is abnormal, and it can be understood that the first parameter may not be used normally, so that the electronic device can determine that the target cell is in an abnormal state, and can accurately and effectively determine whether the cell is abnormal.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
FIG. 1 is a schematic flow chart of an anomaly determination method according to an embodiment of the present application;
fig. 2 is a schematic diagram combining operation for determining parameter intervals corresponding to different base station types according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a parameter marking result according to an embodiment of the present application;
FIG. 4 is a flowchart of another anomaly determination method according to an embodiment of the present application;
FIG. 5 is a flowchart of another anomaly determination method according to an embodiment of the present application;
FIG. 6 is a flowchart illustrating another anomaly determination method according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an abnormality determining apparatus according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of another abnormality determining apparatus according to an embodiment of the present application.
Detailed Description
The abnormality determination method, the abnormality determination device, the electronic device and the storage medium provided by the embodiment of the application are described in detail below with reference to the accompanying drawings.
The terms "first" and "second" and the like in the description and in the drawings of the present application are used for distinguishing between different objects and not for describing a particular sequential order of objects, e.g., a first parameter and a second parameter, etc. are used for distinguishing between different parameters and not for describing a particular sequential order of parameters.
Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or apparatus.
It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment of the present application is not to be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
The term "and/or" as used herein includes the use of either or both of these methods.
In the description of the present application, unless otherwise indicated, the meaning of "a plurality" means two or more.
Based on the description in the background art, because in the related art, data needs to be acquired from different network management devices, and the checking modes of different personnel may be different, the problems of low efficiency and low accuracy exist, and whether the cell has an abnormality may not be accurately and effectively determined. Based on this, the embodiment of the application provides an anomaly determination method, an anomaly determination device, an electronic device and a storage medium, which indicate that an anomaly exists in a first parameter when an original value of the first parameter is outside a first value interval of the first parameter, and can also be understood that the first parameter may not be normally used, so that the electronic device can determine that the target cell is in an anomaly state, and can accurately and effectively determine whether the cell is abnormal.
The electronic device performing the anomaly determination method provided by the embodiment of the present application may be a mobile phone, a tablet computer, a desktop computer, a laptop computer, a handheld computer, a notebook computer, an ultra-mobile personal computer (UMPC), a netbook, a cellular phone, a personal digital assistant (personal digital assistant, PDA), an augmented reality (augmented reality, AR) \virtual reality (VR) device, and the embodiment of the present application is not limited to a specific form of the electronic device. The system can perform man-machine interaction with a user through one or more modes of a keyboard, a touch pad, a touch screen, a remote controller, voice interaction or handwriting equipment and the like.
Optionally, the electronic device may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, network acceleration services (content delivery network, CDN), basic cloud computing services such as big data and an artificial intelligence platform.
As shown in FIG. 1, the anomaly method provided by the embodiment of the application can comprise S101-S103.
S101, the electronic equipment acquires network configuration parameters of a target cell and cell type of the target cell.
The network configuration parameters include a parameter type of each parameter of the plurality of parameters and an original value of each parameter, wherein the parameter type of one parameter is a handover class parameter, a reselection class parameter, an access class parameter, a power control class parameter or a circuit switched fallback (circuit switched fallback, CSFB) class parameter, and the cell type of the target cell is a micro cell, a cell type cell, a 900M cell or a non-900M macro station cell.
It should be understood that the handover class parameter is used for the electronic device to switch the terminal from the target cell to another cell if one terminal parameter of the terminal is greater than the corresponding handover class parameter, where the corresponding handover class parameter is one handover class parameter with the same parameter name as the terminal parameter; the reselection type parameter is used for sending an access request to another cell by the terminal under the condition that one terminal parameter of the terminal is larger than the corresponding reselection type parameter; the access class parameter is used for the electronic equipment to access the terminal to the target cell under the condition that one terminal parameter of the terminal is larger than the corresponding access class parameter; the CSFB class parameter is used for determining, by the electronic device, to switch the terminal from the target cell to another cell if one of the terminal parameters of the terminal is greater than the corresponding CSFB class parameter.
Optionally, in the case that the target cell is A4G cell, the handover class parameter may include an A3drx event trigger bias (common frequency), an A3 event trigger hysteresis (common frequency), an A3 event trigger duration (common frequency), an A2 event reference signal received power (reference signal receiving power, RSRP) threshold (inter frequency), an A2 event hysteresis (inter frequency), an A2 event trigger time (inter frequency), an A3 event trigger bias (inter frequency), an A4 event neighbor RSRP threshold, an A5 event serving RSRP threshold, an A5 event neighbor RSRP threshold, an A5 event trigger time, an inter frequency handover event configuration, an A1 event RSRP threshold (inter system), an A2 event RSRP threshold (redirection inter system), an A2 event hysteresis (redirection inter system), an A2 event trigger time (redirection inter system), and so on.
The reselection parameters may include a common frequency measurement threshold, a cell reselection timer (common frequency), a cell reselection timer (different frequency), a cell reselection timer (evolved universal terrestrial radio access network (evolved universal terrestrial radio access network, EUTRAN)), a cell reselection priority (common frequency), a cell reselection priority (different frequency), a cell reselection priority (EUTRAN), a high priority neighbor cell reselection threshold, a neighbor minimum reception level (common frequency), a neighbor minimum reception level (different frequency), a low priority serving cell reselection threshold, a low priority neighbor cell reselection threshold, a neighbor minimum access level (EUTRAN), a low priority neighbor cell reselection threshold (EUTRAN), a serving cell reselection hysteresis, and the like.
The above access class parameters include a minimum reception level, t300, t302, and an access target power, and the CSFB class parameters include UTRAN CSFB switch, GERAN CSFB switch, blind handover switch, 3GPP long term evolution (long term evolution, LTE), global system for mobile communications (global system for mobile communications, GSM) connectivity interoperability scheme (CSFB), RIM switch, LTEUTRAN connectivity interoperability scheme (CSFB), UTRAN heterogeneous system priority (CSFB), GSM heterogeneous system priority (CSFB), and fast fallback switch.
Optionally, in the case that the target cell is a 5G cell, the parameter type of one parameter may further include an evolved packet system fallback (evolved packet system fallback, epsfullback) type parameter, a discontinuous reception (discontinuous reception, DRX) type parameter, and a basic type parameter.
Optionally, in the case that the target cell is A5G cell, the handover class parameter may include an A3 event trigger bias (common frequency), an A3 event trigger hysteresis (common frequency), an A3 event trigger duration (common frequency), an A2 event RSRP threshold (inter frequency), an A2 event hysteresis (inter frequency), an A2 event trigger time (inter frequency), an A3 event trigger bias (inter frequency), an A4 event neighbor RSRP threshold, an A5 event serving cell RSRP threshold, an A5 event neighbor RSRP threshold, an A5 event trigger time, an inter frequency handover event configuration, an A1 event RSRP threshold (inter system), an A2 event hysteresis (inter system), an A2 event trigger time (inter system), and the like.
The reselection parameters include an on-channel measurement threshold, a cell reselection timer (on-channel), a cell reselection timer (off-channel), a cell reselection timer (EUTRAN), a cell reselection priority (on-channel), a cell reselection priority (off-channel), a cell reselection priority (EUTRAN), a high priority neighbor cell reselection threshold, a neighbor minimum reception level (on-channel), a neighbor minimum reception level (off-channel), a low priority serving cell reselection threshold, a low priority neighbor cell reselection threshold, a neighbor minimum access level (EUTRAN), a low priority neighbor cell reselection threshold (EUTRAN), a serving cell reselection hysteresis, a neighbor cell reselection bias, and an off-channel measurement threshold (non-on-channel measurement RSRP trigger threshold).
The above access class parameters include minimum reception level, t300, t302, access target power, management information base cell unavailable (management information base-cellbared), terminal maximum transmission power (p-max), p-maxEUTRA, minimum required level (qualmin), service Address (SA), and the power control class parameters include reference power, cell maximum transmission power; the epsfallbback class parameters include VoNR switch, evolved switched fallback voice policy switch (eps_fb_switch), voice-mode blind switch (voice_blind_mode_switch), EPS fallback setting, and evolved packet system fallback operation type (EpsFallback operation type).
S102, the electronic equipment queries a first corresponding relation based on the parameter type of the first parameter and the cell type of the target cell, and obtains a first numerical value interval of the first parameter.
Wherein, this first correspondence is used for indicating: and the cell type and the parameter type corresponding to one or more first numerical intervals, wherein the first parameter is one of the parameters.
It should be understood that the first correspondence includes a plurality of first value intervals, and the electronic device may determine, as the first value interval of the first parameter, a first value interval corresponding to both the parameter type of the first parameter and the cell type of the target cell in the plurality of first value intervals.
For example, table 1 below is an example of a first correspondence provided in an embodiment of the present application.
TABLE 1
Assuming that the parameter type of the first parameter is a handover class parameter 1 and assuming that the cell type of the target cell is a micro cell, the electronic device determines that the first value interval of the first parameter is 0-100 dbm.
And S103, when the original value of the first parameter is outside the first value interval of the first parameter, the electronic equipment determines that the target cell is in an abnormal state.
It should be understood that, in the case where the original value of the first parameter is outside the first value interval of the first parameter, it is indicated that there is an abnormality in the first parameter, or it may be understood that the first parameter may not be used normally, so that the electronic device may determine that the target cell is in an abnormal state.
Alternatively, in the case where the original value of the first parameter is within the first value interval of the first parameter, it is indicated that there is no abnormality (or it can be understood as a normal parameter) in the first parameter, that is, the first parameter can be used normally. The electronic device may then determine that the target cell is in a normal state.
For example, it is assumed that when the cell type of the target cell is a micro cell, the first value interval of the first parameter is a value interval 1; when the cell type of the target cell is a cell type cell, the first numerical value interval of the first parameter is a numerical value interval 2; when the cell type of the target cell is 900M cell, the first value interval of the first parameter is a value interval 3; when the cell type of the target cell is a non-900M macro station cell, the first value interval of the first parameter is a value interval 4.
As shown in fig. 2, the electronic device may first determine whether the cell type of the target cell is a micro cell, and in the case that the cell type of the target cell is a micro cell, the electronic device may determine whether the original value of the first parameter is within the value interval 1, and mark the first parameter. In the case that the cell type is not a micro cell, the electronic device determines whether the cell type is a cell type; in the case that the cell type is a cell of the cell type, the electronic device determines whether the original value of the first parameter lies within the value interval 2 and marks the first parameter. In the event that the cell type is not a cell type cell, the electronic device may determine whether the cell type is a 900M cell; in the case that the cell type is a 900M cell, the electronic device may determine whether the original value of the first parameter is within a value interval of 3 and tag the first parameter. In the case that the cell type is not a 900M cell, the electronic device may determine whether the original value of the first parameter lies within the value interval 4 and tag the first parameter.
In an alternative implementation, the electronic device may determine that the marking result of the first parameter is 0 if the original value of the first parameter is outside the first value interval of the first parameter, and may determine that the marking result of the first parameter is 1 if the original value of the first parameter is within the first value interval of the first parameter.
For example, as shown in fig. 3, it is assumed that the parameters corresponding to the parameter type 1 include a parameter 1-1 and a parameter 1-2, the parameters corresponding to the parameter type 2 include a parameter 2-1 and a parameter 2-2, and the labeling results of the parameter 1-1, the parameter 1-2, the parameter 2-1 and the parameter 2-2 are 0, 1 and 1, respectively.
The technical scheme provided by the embodiment at least has the following beneficial effects: from S101 to S103, it is known that: the electronic equipment can acquire network configuration parameters of a target cell and cell types of the target cell, wherein the network configuration parameters comprise parameter types of each parameter in a plurality of parameters and original values of each parameter; the electronic device may then determine a first value interval for a first parameter (i.e., one of the plurality of parameters) based on the cell type of the target cell and the parameter type of the first parameter; when the original value of the first parameter is located outside the first value interval of the first parameter, it is indicated that the first parameter is abnormal, and it can be understood that the first parameter may not be used normally, so that the electronic device can determine that the target cell is in an abnormal state, and can accurately and effectively determine whether the cell is abnormal.
Referring to fig. 1, as shown in fig. 4, the anomaly determination method provided in the embodiment of the present application further includes S104 to S105.
And S104, under the condition that the original value of the first parameter is within the first value interval of the first parameter, the electronic equipment inquires a second corresponding relation based on the parameter type of the first parameter and the cell type of the target cell to acquire a second value interval of the first parameter, and inquires a second corresponding relation based on the parameter type of the second parameter and the cell type of the target cell to acquire a second value interval of the second parameter.
The second parameter is a parameter other than the first parameter, a minimum value in a first value interval of the first parameter is smaller than a minimum value in a second value interval of the first parameter, a maximum value in the first value interval of the first parameter is larger than a maximum value in the second value interval of the first parameter, and the second correspondence is used for indicating: and one or more cell types and parameter types corresponding to the second numerical intervals.
It should be appreciated that in the case where the original value of the first parameter is within the first value interval of the first parameter, it is indicated that there is no abnormality (or may be understood as a normal parameter) in the first parameter, that is, the first parameter may be used normally, but the confidence that the first parameter is a normal parameter may not be high, or the target cell is not currently in a normal state (or in an abnormal state). At this time, the electronic device may further determine whether the target cell is actually in an abnormal state (or a normal state), that is, the electronic device may query the second correspondence to obtain the second value interval of the first parameter based on the parameter type of the first parameter and the cell type of the target cell, and query the second correspondence to obtain the second value interval of the second parameter based on the parameter type of the second parameter and the cell type of the target cell.
It should be understood that the second correspondence includes a plurality of second value intervals, and the electronic device may determine, as the second value interval of the first parameter, a second value interval corresponding to both the parameter type of the first parameter and the cell type of the target cell from the plurality of second value intervals; and determining a second value interval corresponding to the parameter type of the second parameter and the cell type of the target cell from the plurality of second value intervals as the second value interval of the second parameter.
For example, table 2 below is an example of the second correspondence provided in the embodiment of the present application.
TABLE 2
Assuming that the parameter type of the first parameter is a handover class parameter 1, the parameter type of the second parameter is a CSFB class parameter 2, and the cell type of the target cell is a micro cell. The electronic device determines that the second value interval of the first parameter is-10 to 70dbm, and the second value interval of the second parameter is 1 to 2db (decibel).
S105, in a case where the original value of the first parameter is located outside the second value interval of the first parameter, and the original value of the second parameter is located outside the second value interval of the second parameter, the electronic device determines that the target cell is in an abnormal state.
In connection with the above description of the embodiments, it should be understood that, since the minimum value in the first value interval of the first parameter is smaller than the minimum value in the second value interval of the first parameter, the maximum value in the first value interval of the first parameter is larger than the maximum value in the second value interval of the first parameter, the second value interval of the first parameter is one value interval included in the first value interval of the first parameter, and the second value interval of the first parameter is higher in reliability than the first value interval of the first parameter.
It should be understood that, in the case that the original value of the first parameter is located outside the second value interval of the first parameter and the original value of the second parameter is located outside the second value interval of the second parameter, it is indicated that both the first parameter and the second parameter are abnormal, or that both the first parameter and the second parameter cannot be used normally, so that the electronic device can determine that the target cell is in an abnormal state.
In an alternative implementation, the electronic device may determine that the target cell is in a normal state if the original value of the first parameter is within the second value interval of the first parameter and/or the original value of the second parameter is within the second value interval of the second parameter.
Optionally, the electronic device may query the first correspondence relationship based on the parameter type of the second parameter and the cell type of the target cell, so as to obtain a first numerical value interval of the second parameter; then, the electronic device may increase the minimum value in the first value interval of the second parameter by a preset value, and decrease the maximum value in the first value interval of the second parameter by a preset value, so as to obtain the second value interval of the second parameter.
In the embodiment of the present application, when the original value of the first parameter is within the first value interval of the first parameter, it is indicated that there is no abnormality (or may be understood as a normal parameter) in the first parameter, that is, the first parameter may be used normally, but the confidence level of the first parameter being the normal parameter may not be high, or the target cell is not currently in a normal state (or is in an abnormal state). At this time, the electronic device may further determine whether the target cell is actually in an abnormal state (or a normal state), that is, the electronic device may query the second corresponding relationship based on the parameter type of the first parameter and the cell type of the target cell to obtain a second value interval of the first parameter, and query the second corresponding relationship based on the parameter type of the second parameter and the cell type of the target cell to obtain a second value interval of the second parameter; when the original value of the first parameter is located outside the second value interval of the first parameter and the original value of the second parameter is located outside the second value interval of the second parameter, it is indicated that both the first parameter and the second parameter are abnormal, and it can be understood that both the first parameter and the second parameter cannot be used normally, so that the electronic device can determine that the target cell is in an abnormal state.
Referring to fig. 1, as shown in fig. 5, the anomaly determination method provided in the embodiment of the present application further includes S106 to S109.
And S106, the electronic equipment acquires the account name of the target network equipment under the condition that the original value of the first parameter is within the first value interval of the first parameter.
The target network device is a network device corresponding to the target cell.
It should be appreciated that in the case where the original value of the first parameter is within the first value interval of the first parameter, it is indicated that there is no abnormality (or may be understood as a normal parameter) in the first parameter, that is, the first parameter may be used normally, but the confidence that the first parameter is a normal parameter may not be high, or the target cell is not currently in a normal state (or in an abnormal state). At this time, the electronic device needs to further determine whether the target cell is actually in an abnormal state (or normal state), that is, the electronic device may acquire the account name of the target network device.
S107, the electronic equipment queries a third corresponding relation based on the account name of the target network equipment and the parameter type of the first parameter, and acquires a conversion rule of the first parameter.
The third correspondence is used for indicating account names and parameter types corresponding to one or more conversion rules, and one conversion rule comprises at least one conversion condition.
It should be understood that the third correspondence includes a plurality of conversion rules, and the electronic device may determine, as the conversion rule of the first parameter, a conversion rule corresponding to both an account name of the target network device and a parameter type of the first parameter in the plurality of conversion rules.
For example, table 3 below is an example of a third correspondence provided in an embodiment of the present application.
TABLE 3 Table 3
Account 1 Account 2
Handover class parameter 1 Conversion rule 1 Conversion rule 11
Handover class parameter 2 Conversion rule 2 Conversion rule 12
Reselection class parameter 1 Conversion rule 3 Conversion rule 13
Reselection class parameter 2 Conversion rule 4 Conversion rule 14
Access class parameter 1 Conversion rule 5 Conversion rule 15
Access class parameter 2 Conversion rule 6 Conversion rule 16
Power control class parameter 1 Conversion rule 7 Conversion rule 17
Power control class parameter 2 Conversion rule 8 Conversion rules 18
CSFB class parameter 1 Conversion rule 9 Conversion rule 19
CSFB class parameter 2 Conversion rule 10 Conversion rules 20
Assuming that the account name is account 1 and the first parameter type is access class parameter 1, the electronic device determines that conversion rule 1 is a conversion rule of the first parameter.
Alternatively, the account name may be a manufacturer name or a manufacturer name of the target network device.
S108, the electronic equipment determines a target value of the first parameter based on the original value of the first parameter and conversion conditions included in the conversion rule of the first parameter.
It should be understood that the conversion condition may be one or more preset operation steps, and the electronic device inputs the original value into the value obtained in the preset operation step, so as to determine the target value of the first parameter.
For example, assuming that the original value of the first parameter is 2db, the conversion condition included in the conversion rule of the first parameter is a conversion condition 1, the conversion condition 1 being used to determine the product between one value and 2; the electronic device determines that the target value of the first parameter is 4db.
And S109, when the target value of the first parameter is outside the first value interval of the first parameter, the electronic equipment determines that the target cell is in an abnormal state.
It should be understood that, in the case where the target value of the first parameter is outside the first value interval of the first parameter, the target value is configured abnormally, and the electronic device determines that the target cell is in an abnormal state.
In the embodiment of the present application, when the original value of the first parameter is within the first value interval of the first parameter, it is indicated that there is no abnormality (or may be understood as a normal parameter) in the first parameter, that is, the first parameter may be used normally, but the confidence level of the first parameter being the normal parameter may not be high, or the target cell is not currently in a normal state (or is in an abnormal state). At this time, the electronic device needs to further determine whether the target cell is actually in an abnormal state (or a normal state), that is, the electronic device may obtain an account name of the target network device, query a third corresponding relationship based on the account name and a parameter type of the first parameter, obtain a conversion rule of the first parameter, further, determine, by the electronic device, a target value of the first parameter based on an original value of the first parameter and a conversion condition included in the conversion rule of the first parameter, and if the target value is located outside a first value interval of the first parameter, indicate that the target value is configured abnormally, and the electronic device may accurately and quickly determine that the target cell is in the abnormal state.
Referring to fig. 1, as shown in fig. 6, the anomaly determination method provided by the embodiment of the present application further includes: S110-S111.
S110, under the condition that the target cell is in an abnormal state, the electronic equipment generates work order information of the target work order.
The work order information includes one or more of location information of the target cell, network type of the target cell, and cell frequency band of the target cell.
It should be understood that, in the case that the target cell is in an abnormal state, it is explained that the user perception of the target cell is poor, and at this time, the electronic device generates the work order information of the target work order.
By way of example, the network may include LTE FDD (Frequency Division Duplex/duplex), GSM, and WCDMA (Wideband Code Division Multiple Access ), and the cell frequency bands may include uplink 1920-1980MHz, downlink 2110-2170MHz, uplink 1850-1910MHz, and downlink 1930-1990MHz.
Alternatively, the electronic device may send the work order information to the visualization device, such that the visualization device may display the work order information.
And S111, the electronic equipment performs dispatch processing on the target network equipment based on the work order information of the target work order.
The target network device is a network device corresponding to the target cell.
In the embodiment of the application, under the condition that the target cell is abnormal, the situation that the user perception of the target cell is poor is indicated, the electronic equipment can generate the work order information of the target work order, and the work order sending processing is carried out on the target network equipment based on the work order information, so that the abnormal state of the target cell is accurately and effectively processed, the user perception of the target cell is improved, and the waste of communication resources is reduced.
The embodiment of the application can divide the functional modules of the electronic equipment and the like according to the method example, for example, each functional module can be divided corresponding to each function, and two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. It should be noted that, in the embodiment of the present application, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation.
In the case of dividing each functional module with corresponding each function, fig. 7 shows a schematic diagram of one possible configuration of the abnormality determining apparatus involved in the above-described embodiment, as shown in fig. 7, the abnormality determining apparatus 10 may include: an acquisition module 101 and a determination module 102.
The obtaining module 101 is configured to obtain a network configuration parameter of a target cell and a cell type of the target cell, where the network configuration parameter includes a parameter type of each parameter of the plurality of parameters and an original value of each parameter, and a parameter type of one parameter is a handover type parameter, a reselection type parameter, an access type parameter, a power control type parameter, or a CSFB type parameter, and a cell type of the target cell is a micro cell, a cell type cell, a 900M cell, or a non-900M macro station cell.
The obtaining module 101 is further configured to query a first correspondence, based on a parameter type of the first parameter and a cell type of the target cell, to obtain a first numerical value interval of the first parameter, where the first correspondence is used to indicate: one or more first numerical intervals correspond to a cell type and a parameter type, and the first parameter is one of the parameters.
A determining module 102, configured to determine that the target cell is in an abnormal state if the original value of the first parameter is outside the first value interval of the first parameter.
Optionally, the obtaining module 101 is further configured to query a second correspondence to obtain a second value interval of the first parameter based on a parameter type of the first parameter and a cell type of the target cell, and query the second correspondence to obtain a second value interval of the second parameter based on a parameter type of the second parameter and a cell type of the target cell, where the second parameter is a parameter other than the first parameter among the plurality of parameters, a minimum value in the first value interval of the first parameter is smaller than a minimum value in the second value interval of the first parameter, and a maximum value in the first value interval of the first parameter is greater than a maximum value in the second value interval of the first parameter, where the second correspondence is used to indicate: and one or more cell types and parameter types corresponding to the second numerical intervals.
The determining module 102 is further configured to determine that the target cell is in an abnormal state when the original value of the first parameter is located outside the second value interval of the first parameter and the original value of the second parameter is located outside the second value interval of the second parameter.
Optionally, the obtaining module 101 is further configured to obtain an account name of a target network device, where the target network device is a network device corresponding to the target cell, if the original value of the first parameter is within the first value interval of the first parameter.
The obtaining module 101 is further configured to query a third correspondence, based on the account name of the target network device and the parameter type of the first parameter, to obtain a conversion rule of the first parameter, where the third correspondence is used to indicate the account name and the parameter type corresponding to one or more conversion rules, and one conversion rule includes at least one conversion condition.
The determining module 102 is further configured to determine the target value of the first parameter based on the original value of the first parameter and the conversion condition included in the conversion rule of the first parameter.
The determining module 102 is further configured to determine that the target cell is in an abnormal state when the target value of the first parameter is outside the first value interval of the first parameter.
Optionally, the abnormality determination apparatus 10 further includes a processing module 103.
And the processing module 103 is configured to generate work order information of a target work order when the target cell is in an abnormal state, where the work order information includes one or more of location information of the target cell, network system of the target cell, and cell frequency band of the target cell.
And the processing module 103 is further configured to perform dispatch processing on a target network device based on the work order information of the target work order, where the target network device is a network device corresponding to the target cell.
In the case of using an integrated unit, fig. 8 shows a schematic diagram of one possible configuration of the abnormality determining apparatus involved in the above-described embodiment. As shown in fig. 8, the abnormality determining apparatus 20 may include: a processing module 201 and a communication module 202. The processing module 201 may be used to control and manage the operation of the abnormality determination device 20. The communication module 202 may be used to support communication of the anomaly determination device 20 with other entities. Alternatively, as shown in fig. 8, the abnormality determining apparatus 20 may further include a storage module 203 for storing program codes and data of the abnormality determining apparatus 20.
Wherein the processing module 201 may be a processor or a controller. The communication module 202 may be a transceiver, a transceiver circuit, a communication interface, or the like. The storage module 203 may be a memory.
When the processing module 201 is a processor, the communication module 202 is a transceiver, and the storage module 203 is a memory, the processor, the transceiver, and the memory may be connected through a bus. The bus may be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (extended industry standard architecture, EISA) bus, or the like. The buses may be divided into address buses, data buses, control buses, etc.
It should be understood that, in various embodiments of the present application, the sequence numbers of the foregoing processes do not mean the order of execution, and the order of execution of the processes should be determined by the functions and internal logic thereof, and should not constitute any limitation on the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using a software program, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber terminal line (Digital Subscriber Line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more servers, data centers, etc. that can be integrated with the medium. The usable medium may be a magnetic medium (e.g., a floppy Disk, a hard Disk, a magnetic tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a Solid State Disk (SSD)), or the like.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (10)

1. An anomaly determination method, the method comprising:
acquiring network configuration parameters of a target cell and cell types of the target cell, wherein the network configuration parameters comprise a parameter type of each parameter in a plurality of parameters and an original numerical value of each parameter, the parameter type of one parameter is a switching type parameter, a reselection type parameter, an access type parameter, a power control type parameter or a CSFB type parameter, and the cell types of the target cell are a micro cell, a cell parting cell, a 900M cell or a non-900M macro station cell;
inquiring a first corresponding relation based on the parameter type of the first parameter and the cell type of the target cell, and acquiring a first numerical value interval of the first parameter, wherein the first corresponding relation is used for indicating: the cell type and the parameter type corresponding to one or more first numerical intervals, wherein the first parameter is one of the parameters;
And determining that the target cell is in an abnormal state when the original value of the first parameter is outside a first value interval of the first parameter.
2. The abnormality determination method according to claim 1, characterized in that the method further comprises:
in a case that the original value of the first parameter is within a first value interval of the first parameter, a second value interval of the first parameter is obtained based on a parameter type of the first parameter and a cell type of the target cell, and a second value interval of the second parameter is obtained based on a parameter type of the second parameter and a cell type of the target cell, the second parameter being a parameter other than the first parameter among the plurality of parameters, a minimum value in the first value interval of the first parameter being smaller than a minimum value in the second value interval of the first parameter, a maximum value in the first value interval of the first parameter being larger than a maximum value in the second value interval of the first parameter, the second correspondence being used for indicating: cell type and parameter type corresponding to one or more second numerical intervals;
And determining that the target cell is in an abnormal state when the original value of the first parameter is outside a second value interval of the first parameter and the original value of the second parameter is outside the second value interval of the second parameter.
3. The abnormality determination method according to claim 1, characterized in that the method further comprises:
acquiring an account name of a target network device, which is a network device corresponding to the target cell, when the original value of the first parameter is within a first value interval of the first parameter;
inquiring a third corresponding relation based on the account name of the target network equipment and the parameter type of the first parameter to obtain a conversion rule of the first parameter, wherein the third corresponding relation is used for indicating the account name and the parameter type corresponding to one or more conversion rules, and one conversion rule comprises at least one conversion condition;
determining a target value of the first parameter based on the original value of the first parameter and a conversion condition included in a conversion rule of the first parameter;
and determining that the target cell is in an abnormal state when the target value of the first parameter is outside the first value interval of the first parameter.
4. The abnormality determination method according to any one of claims 1 to 3, characterized in that the method further comprises:
generating work order information of a target work order under the condition that the target cell is in an abnormal state, wherein the work order information comprises one or more of position information of the target cell, network system of the target cell and cell frequency bands of the target cell;
and performing dispatch processing on target network equipment based on the work order information of the target work order, wherein the target network equipment is the network equipment corresponding to the target cell.
5. An abnormality determination apparatus, characterized by comprising: an acquisition module and a determination module;
the acquiring module is configured to acquire a network configuration parameter of a target cell and a cell type of the target cell, where the network configuration parameter includes a parameter type of each parameter in a plurality of parameters and an original numerical value of each parameter, and a parameter type of one parameter is a handover type parameter, a reselection type parameter, an access type parameter, a power control type parameter or a CSFB type parameter, and the cell type of the target cell is a micro cell, a cell type cell, a 900M cell or a non-900M macro station cell;
The obtaining module is further configured to query a first correspondence based on a parameter type of a first parameter and a cell type of the target cell, and obtain a first numerical value interval of the first parameter, where the first correspondence is used to indicate: the cell type and the parameter type corresponding to one or more first numerical intervals, wherein the first parameter is one of the parameters;
the determining module is configured to determine that the target cell is in an abnormal state when the original value of the first parameter is outside a first value interval of the first parameter.
6. The abnormality determining apparatus according to claim 5, characterized in that,
the obtaining module is further configured to, when the original value of the first parameter is within a first value interval of the first parameter, query a second correspondence based on a parameter type of the first parameter and a cell type of the target cell to obtain a second value interval of the first parameter, and query a second correspondence based on a parameter type of a second parameter and a cell type of the target cell to obtain a second value interval of the second parameter, where the second parameter is a parameter other than the first parameter among the plurality of parameters, a minimum value in the first value interval of the first parameter is smaller than a minimum value in the second value interval of the first parameter, and a maximum value in the first value interval of the first parameter is greater than a maximum value in the second value interval of the first parameter, where the second correspondence is used to indicate: cell type and parameter type corresponding to one or more second numerical intervals;
The determining module is further configured to determine that the target cell is in an abnormal state when the original value of the first parameter is located outside a second value interval of the first parameter and the original value of the second parameter is located outside the second value interval of the second parameter.
7. The abnormality determining apparatus according to claim 5, characterized in that,
the obtaining module is further configured to obtain an account name of a target network device, where the target network device is a network device corresponding to the target cell, when the original value of the first parameter is within a first value interval of the first parameter;
the obtaining module is further configured to query a third corresponding relationship based on the account name of the target network device and the parameter type of the first parameter, to obtain a conversion rule of the first parameter, where the third corresponding relationship is used to indicate the account name and the parameter type corresponding to one or more conversion rules, and one conversion rule includes at least one conversion condition;
the determining module is further configured to determine a target value of the first parameter based on an original value of the first parameter and a conversion condition included in a conversion rule of the first parameter;
The determining module is further configured to determine that the target cell is in an abnormal state when the target value of the first parameter is outside the first value interval of the first parameter.
8. The abnormality determination device according to any of claims 5-7, characterized in that it further comprises a processing module;
the processing module is used for generating work order information of a target work order under the condition that the target cell is in an abnormal state, wherein the work order information comprises one or more of position information of the target cell, network system of the target cell and cell frequency bands of the target cell;
the processing module is further configured to perform dispatch processing on a target network device based on the work order information of the target work order, where the target network device is a network device corresponding to the target cell.
9. An electronic device, the electronic device comprising:
a processor;
a memory configured to store the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the anomaly determination method of any one of claims 1-4.
10. A computer readable storage medium having instructions stored thereon, which, when executed by an electronic device, cause the electronic device to perform the anomaly determination method of any one of claims 1-4.
CN202310779636.XA 2023-06-28 2023-06-28 Abnormality determination method and device, electronic equipment and storage medium Pending CN117042063A (en)

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CN202310779636.XA CN117042063A (en) 2023-06-28 2023-06-28 Abnormality determination method and device, electronic equipment and storage medium

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