CN113784378A - Method, device, server and storage medium for detecting faults of indoor cell - Google Patents
Method, device, server and storage medium for detecting faults of indoor cell Download PDFInfo
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Abstract
The invention provides a method, a device, a server and a storage medium for detecting faults of indoor cells, wherein the method comprises the following steps: acquiring MR measurement data, the number of times of wireless access bearing requests and the number of successful establishment times of a target cell according to a preset time interval, training sample data of the MR measurement data, the number of times of wireless access bearing requests and the number of successful establishment times respectively according to a time sequence model, acquiring a first dynamic threshold, a second dynamic threshold and a third dynamic threshold, determining a fault parameter corresponding to data to be detected according to the first dynamic threshold, the second dynamic threshold and the third dynamic threshold, determining an evaluation value corresponding to the fault parameter according to a preset evaluation model, and if the target cell is judged to have a fault according to the evaluation value, generating alarm information and sending the alarm information to a management platform to prompt an administrator to perform fault troubleshooting on the target cell.
Description
Technical Field
The present invention relates to the field of wireless communications technologies, and in particular, to a method, an apparatus, a server, and a storage medium for detecting a cell failure.
Background
With the development of mobile communication technology, the scale of communication networks is larger and larger, and the wireless network structure is more and more complex. The indoor antenna distribution system is used for uniformly distributing base station signals in each indoor corner in the indoor cell, so that each indoor area can achieve ideal signal coverage, and the network coverage quality in a building is improved.
In the prior art, a network management system monitors faults of a residential quarter cell, and when real-time parameters of the residential quarter cell are found to be not in accordance with key indexes through predefined key indexes such as a drop rate, a call completing rate, a switching success rate, an uploading rate, a downloading rate, uplink interference, downlink quality, time delay, a block error rate, flow and the like, an alarm signal is generated to prompt that a network fault occurs in the residential quarter cell.
However, when the entire network of the indoor sub-cell is normal and only a part of branches have hidden faults, the real-time parameters of the indoor sub-cell may still meet the key indexes monitored by the network management system, that is, the network management system cannot identify the network faults of the indoor sub-cell according to the key indexes, which affects the accuracy of detecting the faults of the indoor sub-cell.
Disclosure of Invention
The invention provides a method, a device, a server and a storage medium for detecting a room sub-cell fault, which are used for obtaining a dynamic threshold by utilizing time sequence model MR measurement and KPI (key performance indicator) training, determining an evaluation value according to the dynamic threshold, judging whether the room sub-cell has a network fault or not according to the evaluation value, and improving the accuracy of detecting the hidden fault of the room sub-cell.
In a first aspect, the present invention provides a method for detecting a cell failure, including: acquiring MR measurement data, the times of wireless access bearing requests and the times of successful establishment of a target cell according to a preset time interval, formatting the MR measurement data according to a preset index to obtain reference signal receiving power sampling point data, determining signal good percentage sample data according to the MR measurement data, and determining backflow ratio sample data according to the times of the wireless access bearing requests and the times of successful establishment; training the reference signal receiving power sampling point data, the signal good percentage sample data and the backflow ratio sample data respectively according to a time sequence model to obtain a first dynamic threshold corresponding to the reference signal receiving power sampling point data, a second dynamic threshold corresponding to the signal good percentage sample data and a third dynamic threshold corresponding to the backflow ratio sample data; acquiring data to be tested of a target cell, and determining a fault parameter corresponding to the data to be tested according to the first dynamic threshold, the second dynamic threshold and the third dynamic threshold; and determining an evaluation value corresponding to the fault parameter according to a preset evaluation model, and if the target cell is judged to have a fault according to the evaluation value, generating alarm information and sending the alarm information to a management platform so as to prompt an administrator to perform fault troubleshooting on the target cell.
In a possible design, the determining, by the first dynamic threshold, the second dynamic threshold, and the third dynamic threshold, a fault parameter corresponding to the data to be detected, where the data to be detected includes a reference signal received power value to be detected, a number of times of a radio access bearer request to be detected, and a number of times of successful establishment to be detected in a preset time period, includes: determining the data of the current ratio to be measured according to the number of times of the wireless access bearing request to be measured and the number of times of successful establishment to be measured, and determining the good percentage data of the signal to be measured according to the value of the receiving power of the reference signal to be measured; determining a first fault time length according to the first dynamic threshold and the receiving power value of the reference signal to be detected, determining a second fault time length according to the second dynamic threshold and the good percentage data of the signal to be detected, and determining a third fault time length according to the third dynamic threshold and the data of the current inversion ratio to be detected, wherein the fault parameters comprise the first fault time length, the second fault time length and the third fault time length.
In one possible design, the determining, according to a preset evaluation model, an evaluation value corresponding to the fault parameter includes: determining a first parameter, a second parameter and a third parameter corresponding to the first fault duration, the second fault duration and the third fault duration respectively according to a preset evaluation model; determining a first evaluation value according to a product of a first preset percentage and the first parameter, determining a second evaluation value according to a product of a second preset percentage and the second parameter, determining a third evaluation value according to a product of a third preset percentage and the third parameter, and determining an evaluation value according to a sum of the first evaluation value, the second evaluation value and the third evaluation value, wherein the sum of the first preset percentage, the second preset percentage and the third preset percentage is 1.
In one possible design, before the formatting the MR measurement data according to a preset indicator to obtain RSRP reference signal received power sampling point data, the method further includes: and if the vacancy value exists in the MR measurement data, determining the parameter of the vacancy value according to a mean value substitution method.
In one possible design, after the determining, according to a preset evaluation model, an evaluation value corresponding to the fault parameter, the method further includes: if the target cell is judged to have no fault according to the evaluation value, PRB interference noise power data are obtained according to a preset time period, and PRB interference noise power average parameters are determined according to the PRB interference noise power data; and if the PRB interference noise power average parameter is larger than or equal to a preset evaluation index, generating alarm information and sending the alarm information to a management platform so as to prompt an administrator to carry out troubleshooting on the target cell.
In one possible design, after the determining, according to a preset evaluation model, an evaluation value corresponding to the fault parameter, the method further includes: if the target cell is judged to have no fault according to the evaluation value, acquiring uplink perception rate data according to a preset time interval, and determining an uplink perception rate average parameter according to the uplink perception rate data; and if the average uplink perception rate parameter is smaller than a preset uplink perception rate index, generating alarm information and sending the alarm information to a management platform so as to prompt an administrator to perform troubleshooting on the target cell.
In one possible design, the timing model is a Prophet timing model.
In a second aspect, the present invention provides an indoor cell failure detection apparatus, including: the acquisition module is used for acquiring MR measurement data, the times of wireless access bearing requests and the times of successful establishment of a target cell according to a preset time interval, formatting the MR measurement data according to a preset index to obtain reference signal receiving power sampling point data, determining signal good percentage sample data according to the MR measurement data, and determining backflow ratio sample data according to the times of the wireless access bearing requests and the times of successful establishment; the training module is used for respectively training the reference signal received power sampling point data, the signal good percentage sample data and the backflow ratio sample data according to a time sequence model to obtain a first dynamic threshold corresponding to the reference signal received power sampling point data, a second dynamic threshold corresponding to the signal good percentage sample data and a third dynamic threshold corresponding to the backflow ratio sample data; the determining module is used for acquiring data to be tested of a target cell and determining a fault parameter corresponding to the data to be tested according to the first dynamic threshold, the second dynamic threshold and the third dynamic threshold; and the sending module is used for determining an evaluation value corresponding to the fault parameter according to a preset evaluation model, and if the target cell is judged to have a fault according to the evaluation value, generating alarm information and sending the alarm information to a management platform so as to prompt an administrator to perform troubleshooting on the target cell.
In a third aspect, the present invention provides a server, comprising: at least one processor and memory; the memory stores computer-executable instructions; the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the method of room division cell failure detection as described above in the first aspect and various possible designs of the first aspect.
In a fourth aspect, the present invention provides a computer storage medium having stored thereon computer executable instructions which, when executed by a processor, implement the method for detecting a cell failure in a room, as described above in the first aspect and in various possible designs of the first aspect.
According to the method, the device, the server and the storage medium for detecting the room sub-cell fault, the dynamic threshold is obtained by performing model training on MR measurement data, the wireless access bearing request times and the establishment success times according to the time sequence model, fault data is screened out after comparison is performed according to the data to be detected and indexes of the dynamic threshold, an evaluation value is obtained by using a preset evaluation model, whether the room sub-cell has the hidden network fault or not is judged according to the evaluation value, and the accuracy of detecting the hidden fault of the room sub-cell is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic view of an application scenario of a method for detecting a cell failure in a room according to an embodiment of the present invention;
fig. 2 is a first flowchart of a method for detecting a failure in a cell according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a method for detecting a failure in a cell of a room according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a device for detecting a cell failure according to an embodiment of the present invention;
fig. 5 is a schematic diagram of a hardware structure of a server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The existing mobile cellular network optimization method utilizes a conventional network Management system, monitors indexes and alarm states of cell sub-cells according to an Operation Maintenance Center (OMC) in the network Management system, and can judge that the cell has faults when the actual numerical value is monitored to be not in accordance with the key indexes, namely the indexes are found to be deteriorated, and carries out targeted troubleshooting treatment according to the deteriorated indexes through predefined key indexes. However, when a part of branches of an indoor cell have a fault, only a part of indexes may change slightly, and the network fault of the indoor cell cannot be judged through monitoring the indexes of the network management system, and the network fault of the part of indoor cells can be determined only by manually repairing the network fault regularly by a person responsible for monitoring by the network management center.
In order to solve the above technical problem, the embodiment of the present invention proposes the following technical solutions: the method comprises the steps of carrying out model training on MR measurement and KPI indexes by utilizing a time sequence model to obtain a dynamic threshold, comparing real data to be measured with indexes of a predicted dynamic threshold, screening fault data, obtaining an evaluation value according to a preset evaluation model, judging whether a network fault exists in a room sub-cell according to the evaluation value, and improving the accuracy of detecting the hidden fault of the room sub-cell. The following examples are given for illustrative purposes.
Fig. 1 is a schematic application scenario diagram of a method for detecting a cell failure in a room according to an embodiment of the present invention. As shown in fig. 1, a base station of a room sub-cell receives MR measurement data sent by a terminal, and sends the MR measurement data, the number of times of a radio access bearer request and the number of times of successful establishment to an Operation and Maintenance Center (OMC) server, and the OMC server sends the MR measurement data, the number of times of a radio access bearer request and the number of times of successful establishment to a server for a room sub-cell fault detection method, so that the server determines whether an invisible fault exists in the room sub-cell according to the MR measurement data, the number of times of a radio access bearer request and the number of times of successful establishment, and if the server determines that the invisible fault exists in the room sub-cell, generates alarm information and sends the alarm information to a Management platform to prompt an administrator to perform fault troubleshooting on a target cell.
Fig. 2 is a schematic flow chart of a method for detecting a failure in a cell in a room according to an embodiment of the present invention, where an execution subject of the embodiment may be a server in the embodiment shown in fig. 1, and the embodiment is not limited herein. As shown in fig. 2, the method includes:
s201: the method comprises the steps of obtaining MR measurement data, the times of wireless access bearing requests and the times of successful establishment of a target cell according to a preset time interval, formatting the MR measurement data according to a preset index to obtain reference signal receiving power sampling point data, determining signal good percentage sample data according to the MR measurement data, and determining reverse flow ratio sample data according to the times of the wireless access bearing requests and the times of successful establishment.
In the embodiment of the invention, the MR measurement report, the number of times of radio access bearer requests and the number of times of successful establishment of the terminal can be used as indexes for measuring the network signal coverage quality of the indoor sub-cell. For example, if the preset time interval is set to be 28 days, the MR measurement data sent by the OMC server, the number of times of the radio access bearer request, and the number of times of successful establishment are stored in a cycle of 28 days. The MR measurement data includes Reference Signal Receiving Power (RSRP) of the terminal access network. Illustratively, the preset index includes the number of sampling points with RSRP lower than-115 dbm, the number of sampling points with RSRP lower than-110 dbm, the number of sampling points with RSRP lower than-105 dbm, the number of sampling points with RSRP lower than-100 dbm, the number of sampling points with RSRP lower than-95 dbm and the number of all sampling points. And determining RSRP parameter intervals according to the preset indexes, analyzing the RSRP size and the sample number in the MR measurement data, and determining the number of sampling points in different RSRP parameter intervals. For example, the number of sampling points in different RSRP parameter intervals is calculated as follows:
1. the RSRP parameter interval is that the number of sampling points is more than or equal to-95 dbm, the number of the sampling points is equal to the total number of the RSRP sampling points, and the number of the sampling points is less than-95 dbm after the RSRP is subtracted;
2. the number of sampling points with the RSRP parameter interval of (-95dbm, -100dbm ] is equal to the number of sampling points with the RSRP lower than-95 dbm minus the number of sampling points with the RSRP lower than-100 dbm;
3. the number of sampling points with the RSRP parameter interval of (-100dbm, -105dbm ] is equal to the number of sampling points with the RSRP lower than-100 dbm minus the number of sampling points with the RSRP lower than-105 dbm;
4. the number of sampling points with the RSRP parameter interval of (-105dbm, -110dbm ] is equal to the number of sampling points with the RSRP lower than-105 dbm minus the number of sampling points with the RSRP lower than-110 dbm;
5. the number of sampling points with the RSRP parameter interval of (-110dbm, -115dbm ] is equal to the number of sampling points with the RSRP lower than-110 dbm minus the number of sampling points with the RSRP lower than-115 dbm.
For example, if a null value is present in the MR measurement data, the parameters of the null value are determined according to a mean value substitution method. In the process of analyzing the original data, it is found that invalid data such as format inconsistency, missing values, useless information and the like exist in the data, and the invalid data are not beneficial to the training of the model and need to be processed. Specifically, if the number of sampling points with RSRP lower than-95 dbm has no value at a certain time of a certain day, an upper and lower average value substitution method is required, that is, the sampling data of the number of missing sampling points is filled by calculating and averaging the data at the previous time and the data at the next time of the missing value time.
In the embodiment of the invention, the number of signal good percentage samples with the RSRP higher than the preset signal strength is determined according to the preset frequency, and the signal good percentage sample data is determined according to the proportion of the number of the signal good percentage samples to the total number of the samples. For example, the preset frequency is set to 1 time per day, that is, the number of signal good percentage samples whose RSRP is higher than the preset signal strength and the total number of samples within one day are obtained, the signal good percentage is determined according to the ratio of the number of signal good percentage samples per day to the total number of samples per day, and the signal good percentage sample data is obtained according to the signal good percentage within 28 days.
In the embodiment of the invention, the times of the radio access bearer requests are the times of network switching redirection requests when the terminal is switched from the LTE network to the 3G network, and the times of the network switching redirection requests comprise blind redirection and non-blind redirection. The successful establishing times are the times of successful switching from the LTE network to the 3G network. According to the times of the redirection request. And establishing a ratio of successful times to obtain a reflux ratio, and acquiring sample data of the reflux ratio according to a preset frequency. Illustratively, the preset frequency is set to 1 time per day, that is, the number of times of radio access bearer request and the number of times of successful establishment during network handover of the terminal within one day are obtained, the reflux ratio is determined according to the ratio of the number of times of radio access bearer request and the number of times of successful establishment within 1 day, and reflux ratio sample data is obtained according to the reflux ratio data within 28 days.
S202: training reference signal received power sampling point data, signal good percentage sample data and backflow ratio sample data respectively according to a time sequence model, and obtaining a first dynamic threshold corresponding to the reference signal received power sampling point data, a second dynamic threshold corresponding to the signal good percentage sample data and a third dynamic threshold corresponding to the backflow ratio sample data.
In the embodiment of the invention, the sample data can be analyzed according to the time sequence model, and the change trend of each sample data is predicted, so that the dynamic threshold of each sample data is obtained. Specifically, the time sequence model is set as a Prophet time sequence model. The Prophet is a decomposable additive regression model, namely time series data can be decomposed into a trend term with non-periodic variation, a seasonal period term of day or week, a holiday effect and the like according to time series characteristics. The Prophet model can flexibly set parameters of each time sequence characteristic, the size of the parameter value respectively represents the contribution degree of each characteristic to the model prediction result, and the parameters of each characteristic can be adjusted by analyzing the training result of the model to achieve the purpose of improving the prediction accuracy.
In the embodiment of the invention, the RSRP sampling point data is used as the input data of the Prophet timing model, wherein the RSRP sampling point data contains the number of sampling points in different RSRP parameter intervals, the RSRP sampling point data is trained according to the Prophet timing model, a quantity prediction model of the number of sampling points in different RSRP parameter intervals can be obtained, and the first dynamic threshold of the RSRP sampling point data is determined according to the quantity prediction model. Illustratively, the percentage prediction model of the signal good percentage sample can be obtained by taking the signal good percentage sample as input data of the Prophet timing model and training the signal good percentage sample according to the Prophet timing model, and the second dynamic threshold of the signal good percentage can be determined according to the percentage prediction model. Illustratively, the backflow ratio sample data is used as input data of the Prophet time sequence model, training is carried out on the backflow ratio sample data according to the Prophet time sequence model, a backflow ratio prediction model of the backflow ratio sample data can be obtained, and a third dynamic threshold of the backflow ratio data is determined according to the backflow ratio prediction model.
S203: and acquiring data to be tested of the target cell, and determining a fault parameter corresponding to the data to be tested according to the first dynamic threshold, the second dynamic threshold and the third dynamic threshold.
In the embodiment of the present invention, specifically, the data to be measured includes an RSRP value to be measured, the number of times of the radio access bearer request to be measured, and the number of times of successful establishment to be measured in a preset time period. And determining the data of the to-be-tested reflux ratio according to the number of times of the to-be-tested wireless access bearer request and the number of times of successful to-be-tested establishment, and determining the good percentage data of the to-be-tested signal according to the RSRP value. After the data to be detected is analyzed to obtain the RSRP value to be detected, the reflux ratio data to be detected and the good percentage data of the signal to be detected, the RSRP value to be detected can be analyzed according to the first dynamic threshold to obtain fault data exceeding the RSRP value; and analyzing the data of the signal to be detected with good percentage according to a third dynamic threshold to obtain the data of the signal with good percentage. And analyzing the fault data in the RSRP value, the fault data in the backflow ratio data and the fault data in the signal good percentage data according to preset time length to obtain all time lengths of which the occurrence time length of the fault data is longer than the preset time length, namely determining a second fault time length and a third fault time length corresponding to the backflow ratio data according to a first fault time length and the signal good percentage data corresponding to the RSRP value. The method comprises the steps of determining a first fault time length according to a first dynamic threshold and a RSRP value to be detected, determining a second fault time length according to a second dynamic threshold and good percentage data of a signal to be detected, and determining a third fault time length according to a third dynamic threshold and the data of a reverse ratio to be detected. The fault parameters comprise a first fault duration, a second fault duration and a third fault duration.
S204: and determining an evaluation value corresponding to the fault parameter according to a preset evaluation model, and if the target cell is judged to have a fault according to the evaluation value, generating alarm information and sending the alarm information to a management platform so as to prompt an administrator to perform troubleshooting on the target cell.
In the embodiment of the present invention, the formula of the preset evaluation model is as shown in formula (1):
wherein, scree is an evaluation value, time represents a fault duration, and t1 and t2 are respectively preset fault duration determination parameters. For example, t1 may be set to 10 hours and t1 may be set to 35 hours.
In the embodiment of the present invention, the first dynamic threshold may predict the number of sampling points in all RSRP parameter intervals, that is, the first dynamic threshold includes the predicted number corresponding to 6 RSRP sampling point intervals. Illustratively, if the data to be tested is satisfied with [ -95, -100 [ ]]The number of sampling points in the interval exceeds [ -95, -100 [ -95 [ ]]If the burst fault occurs, counting the time length exceeding the predicted number, namely the time length of the burst fault, and calculating the time length of the burst fault in the formula (1) [ -95, -100 [)]Evaluation value score of interval-95～100. Therefore, fault time lengths corresponding to 6 RSRP sampling intervals in the data to be detected can be obtained respectively, the 6 time lengths are substituted into a formula (1), and evaluation values score of the 6 RSRP sampling intervals are calculated respectively-95、score-95～100、score-100～-105、score-105～-110、score-110～-115And score-115And calculating a first parameter scroe1 of RSRP according to formula (2), specifically (2) is:
score1＝P1*score-95+P2*score-95～100+P3*score-100～-105
+P4*score-105～-110+P5*score-110～-115+P6*score-115 (2)
wherein P1, P2, P3, P4, P5 and P6 are weight percentages corresponding to 6 RSRP sampling intervals respectively, the sum of P1, P2, P3, P4, P5 and P6 is 1, and illustratively, P1 is 40%, P2 is 5%, P3 is 5%, P4 is 5%, P5 is 5% and P6 is 40%.
Illustratively, the second failure duration and the third failure duration are respectively substituted into formula (1), and the second parameter scan 2 and the third parameter scan 3 corresponding to the second failure duration and the third failure duration are respectively determined.
In an embodiment of the present invention, a first evaluation value is determined according to a product of a first preset percentage and a first parameter, a second evaluation value is determined according to a product of a second preset percentage and a second parameter, a third evaluation value is determined according to a product of a third preset percentage and a third parameter, and an evaluation value is determined according to a sum of the first evaluation value, the second evaluation value and the third evaluation value, wherein the sum of the first preset percentage, the second preset percentage and the third preset percentage is 1. Illustratively, a first preset percentage is set to 50%, a second preset percentage is set to 30%, and a third preset percentage is set to 20%, wherein the sum of the first preset percentage, the second preset percentage, and the third preset percentage is 1.
In the embodiment of the invention, the evaluation value can represent the network health degree of the current indoor separate cell, if the evaluation value is greater than or equal to the preset health degree parameter, the current cell is judged to have no invisible fault, if the evaluation value is less than the preset health degree parameter, the current cell is judged to have the invisible fault, alarm information is generated, and the alarm information is sent to the management platform to prompt an administrator to carry out fault troubleshooting on the target cell.
According to the method for detecting the indoor sub-cell fault, the dynamic threshold is obtained by performing model training on MR measurement and KPI indexes through the time sequence model, real data to be detected is compared with indexes of the dynamic threshold to be predicted, fault data are screened out, and an evaluation value is obtained according to the preset evaluation model, so that quantification of network health of the indoor sub-cell is achieved, and accuracy of detecting the indoor sub-cell invisible fault is improved.
Fig. 3 is a schematic flow chart of a method for detecting a cell failure in a room according to an embodiment of the present invention. In the embodiment of the present invention, on the basis of the embodiment provided in fig. 2, the method after determining the evaluation value corresponding to the fault parameter according to the preset evaluation model in S204 is described in detail. As shown in fig. 3, the method includes:
s301: and if the target cell is judged to have no fault according to the evaluation value, acquiring PRB interference noise power data according to a preset time period, and determining PRB interference noise power average parameters according to the PRB interference noise power data.
In the network coverage environment of the indoor sub-cell, whether the terminal can complete normal data reception is not only related to the strength and quality of the accessed network signal, but also related to the magnitude of internal noise, external noise and interference of the receiver of the indoor sub-cell. In the embodiment of the present invention, if the evaluation value is greater than or equal to the preset health parameter, it is determined that there is no hidden fault in the current cell, and whether there is a hidden fault of internal noise in the indoor sub-cell may be further excluded according to Packet Receive Buffer (PRB) interference noise power data. Specifically, PRB interference noise power data is obtained according to a preset time period, and illustratively, an average value of PRB interference noise power statistics is obtained according to a time period of each hour.
S302: and if the PRB interference noise power average parameter is greater than or equal to the preset evaluation index, generating alarm information and sending the alarm information to a management platform so as to prompt an administrator to perform troubleshooting on the target cell.
In the embodiment of the invention, if the PRB interference noise power average parameter is greater than or equal to the preset evaluation index, the condition that the current front-office branch cell has noise interference affects the data receiving effect of the terminal is indicated, and the alarm information is generated and sent to the management platform so as to prompt an administrator to perform troubleshooting on the target cell. Illustratively, the preset evaluation index is set to a size of-90 dBm.
According to the method for detecting the indoor sub-cell fault, whether the indoor sub-cell has the hidden fault of the interference noise is further evaluated by utilizing the PRB interference noise power data, and the accuracy of detecting the hidden fault of the indoor sub-cell is improved.
In a possible implementation manner, if it is determined that the target cell has no fault according to the evaluation value, uplink sensing rate data is obtained according to a preset time interval, and an uplink sensing rate average parameter is determined according to the uplink sensing rate data. And if the average uplink sensing rate parameter is smaller than the preset uplink sensing rate index, generating alarm information and sending the alarm information to the management platform so as to prompt an administrator to perform troubleshooting on the target cell.
In the embodiment of the invention, if the evaluation value is greater than or equal to the preset health parameter, the current cell is judged to have no invisible fault, the uplink perception rate of the indoor sub-cell is taken as an evaluation value of the user perception problem by taking the cell-level uplink single-user average perception rate index as an overall user perception condition index item, and whether the indoor sub-cell has the invisible fault with low uplink perception rate or not is further eliminated. Specifically, uplink sensing rate data is obtained according to a preset time interval, and an uplink sensing rate average parameter is determined according to the uplink sensing rate data. And if the average uplink sensing rate parameter is smaller than the preset uplink sensing rate index, generating alarm information and sending the alarm information to the management platform so as to prompt an administrator to perform troubleshooting on the target cell. Illustratively, the preset uplink perceptual rate indicator is set to 500 KBps.
According to the method for detecting the indoor sub-cell fault, whether the indoor sub-cell has the invisible fault with the low uplink perception rate is further evaluated by utilizing the uplink perception rate data, and the accuracy of detecting the invisible fault of the indoor sub-cell is improved.
Fig. 4 is a schematic structural diagram of a device for detecting a cell failure in a room according to an embodiment of the present invention. As shown in fig. 4, the cell division fault detection apparatus includes: an acquisition module 401, a training module 402, a determination module 403, and a sending module 404.
An obtaining module 401, configured to obtain MR measurement data, radio access bearer request times, and successfully-established times of a target cell according to a preset time interval, format the MR measurement data according to a preset index to obtain RSRP reference signal received power sampling point data, determine signal good percentage sample data according to the MR measurement data, and determine backflow ratio sample data according to the radio access bearer request times and the successfully-established times; a training module 402, configured to train the RSRP sampling point data, the signal good percentage sample data, and the backflow ratio sample data according to a timing model, respectively, to obtain a first dynamic threshold corresponding to the RSRP sampling point data, a second dynamic threshold corresponding to the signal good percentage sample, and a third dynamic threshold corresponding to the backflow ratio sample data; a determining module 403, configured to obtain data to be detected of a target cell, and determine a fault parameter corresponding to the data to be detected according to the first dynamic threshold, the second dynamic threshold, and the third dynamic threshold; a sending module 404, configured to determine an evaluation value corresponding to the fault parameter according to a preset evaluation model, and if it is determined that the target cell has a fault according to the evaluation value, generate alarm information and send the alarm information to a management platform, so as to prompt an administrator to perform troubleshooting on the target cell.
In a possible implementation manner, the data to be measured includes a reference signal receiving power value to be measured, a number of times of a wireless access bearer request to be measured, and a number of times of successful establishment to be measured in a preset time period, and the determining module 403 is specifically configured to determine, according to the number of times of the wireless access bearer request to be measured and the number of times of successful establishment to be measured, the data of a back-flow ratio to be measured, and determine, according to the reference signal receiving power value to be measured, good percentage data of a signal to be measured; determining a first fault time length according to the first dynamic threshold and the receiving power value of the reference signal to be detected, determining a second fault time length according to the second dynamic threshold and the good percentage data of the signal to be detected, and determining a third fault time length according to the third dynamic threshold and the data of the current inversion ratio to be detected, wherein the fault parameters comprise the first fault time length, the second fault time length and the third fault time length.
In a possible implementation manner, the sending module 404 is specifically configured to determine a first parameter, a second parameter, and a third parameter corresponding to the first failure duration, the second failure duration, and the third failure duration according to a preset evaluation model, respectively; determining a first evaluation value according to a product of a first preset percentage and the first parameter, determining a second evaluation value according to a product of a second preset percentage and the second parameter, determining a third evaluation value according to a product of a third preset percentage and the third parameter, and determining an evaluation value according to a sum of the first evaluation value, the second evaluation value and the third evaluation value, wherein the sum of the first preset percentage, the second preset percentage and the third preset percentage is 1.
In a possible implementation manner, the indoor-cell fault detection apparatus further includes a first generation module, where the first generation module is specifically configured to, if it is determined that the target cell has no fault according to the evaluation value, obtain PRB interference noise power data according to a preset time period, and determine an average PRB interference noise power parameter according to the PRB data; and if the PRB interference noise power average parameter is larger than or equal to a preset evaluation index, generating alarm information and sending the alarm information to a management platform so as to prompt an administrator to carry out troubleshooting on the target cell.
In a possible implementation manner, the device for detecting a cell failure in a room further includes a second generating module, where the second generating module is specifically configured to, if it is determined that the target cell has no failure according to the evaluation value, obtain uplink sensing rate data according to a preset time interval, and determine an uplink sensing rate average parameter according to the uplink sensing rate data; and if the average uplink perception rate parameter is smaller than a preset uplink perception rate index, generating alarm information and sending the alarm information to a management platform so as to prompt an administrator to perform troubleshooting on the target cell.
The apparatus provided in this embodiment may be used to implement the technical solutions of the above method embodiments, and the implementation principles and technical effects are similar, which are not described herein again.
Fig. 5 is a schematic diagram of a hardware structure of a server according to an embodiment of the present invention. As shown in fig. 5, the server of the present embodiment includes: a processor 501 and a memory 502; wherein
A memory 502 for storing computer-executable instructions;
the processor 501 is configured to execute computer-executable instructions stored in the memory to implement the steps performed by the server in the above embodiments. Reference may be made in particular to the description relating to the method embodiments described above.
Alternatively, the memory 502 may be separate or integrated with the processor 501.
When the memory 502 is provided separately, the server further includes a bus 503 for connecting the memory 502 and the processor 501.
The embodiment of the present invention further provides a computer storage medium, where a computer executing instruction is stored in the computer storage medium, and when a processor executes the computer executing instruction, the method for detecting a cell failure in a room is implemented as described above.
An embodiment of the present invention further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the method for detecting a cell failure in a room is implemented as described above.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described device embodiments are merely illustrative, and for example, the division of the modules is only one logical division, and other divisions may be realized in practice, for example, a plurality of modules may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or modules, and may be in an electrical, mechanical or other form.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules 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 modules may be selected according to actual needs to implement the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one unit. The unit formed by the modules can be realized in a hardware form, and can also be realized in a form of hardware and a software functional unit.
The integrated module implemented in the form of a software functional module may be stored in a computer-readable storage medium. The software functional module is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a processor to execute some steps of the methods described in the embodiments of the present application.
It should be understood that the Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile storage NVM, such as at least one disk memory, and may also be a usb disk, a removable hard disk, a read-only memory, a magnetic or optical disk, etc.
The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, the buses in the figures of the present application are not limited to only one bus or one type of bus.
The storage medium may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Of course, the processor and the storage medium may reside as discrete components in an electronic device or host device.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for detecting a cell failure in an indoor cell, comprising:
acquiring MR measurement data, the times of wireless access bearing requests and the times of successful establishment of a target cell according to a preset time interval, formatting the MR measurement data according to a preset index to obtain reference signal receiving power sampling point data, determining signal good percentage sample data according to the MR measurement data, and determining backflow ratio sample data according to the times of the wireless access bearing requests and the times of successful establishment;
training the reference signal receiving power sampling point data, the signal good percentage sample data and the backflow ratio sample data respectively according to a time sequence model to obtain a first dynamic threshold corresponding to the reference signal receiving power sampling point data, a second dynamic threshold corresponding to the signal good percentage sample data and a third dynamic threshold corresponding to the backflow ratio sample data;
acquiring data to be tested of a target cell, and determining a fault parameter corresponding to the data to be tested according to the first dynamic threshold, the second dynamic threshold and the third dynamic threshold;
and determining an evaluation value corresponding to the fault parameter according to a preset evaluation model, and if the target cell is judged to have a fault according to the evaluation value, generating alarm information and sending the alarm information to a management platform so as to prompt an administrator to perform fault troubleshooting on the target cell.
2. The method of claim 1, wherein the data to be tested includes a reference signal received power value to be tested, a number of radio access bearer requests to be tested, and a number of successful establishment tests within a preset time period, and determining the fault parameter corresponding to the data to be tested according to the first dynamic threshold, the second dynamic threshold, and the third dynamic threshold includes:
determining the data of the current ratio to be measured according to the number of times of the wireless access bearing request to be measured and the number of times of successful establishment to be measured, and determining the good percentage data of the signal to be measured according to the value of the receiving power of the reference signal to be measured;
determining a first fault time length according to the first dynamic threshold and the receiving power value of the reference signal to be detected, determining a second fault time length according to the second dynamic threshold and the good percentage data of the signal to be detected, and determining a third fault time length according to the third dynamic threshold and the data of the current inversion ratio to be detected, wherein the fault parameters comprise the first fault time length, the second fault time length and the third fault time length.
3. The method according to claim 2, wherein the determining the evaluation value corresponding to the fault parameter according to a preset evaluation model comprises:
determining a first parameter, a second parameter and a third parameter corresponding to the first fault duration, the second fault duration and the third fault duration respectively according to a preset evaluation model;
determining a first evaluation value according to a product of a first preset percentage and the first parameter, determining a second evaluation value according to a product of a second preset percentage and the second parameter, determining a third evaluation value according to a product of a third preset percentage and the third parameter, and determining an evaluation value according to a sum of the first evaluation value, the second evaluation value and the third evaluation value, wherein the sum of the first preset percentage, the second preset percentage and the third preset percentage is 1.
4. The method of claim 1, further comprising, before the formatting the MR measurement data according to a preset index to obtain reference signal received power sample point data:
and if the vacancy value exists in the MR measurement data, determining the parameter of the vacancy value according to a mean value substitution method.
5. The method according to claim 1, wherein after determining the evaluation value corresponding to the fault parameter according to a preset evaluation model, the method further comprises:
if the target cell is judged to have no fault according to the evaluation value, PRB interference noise power data are obtained according to a preset time period, and PRB interference noise power average parameters are determined according to the PRB interference noise power data;
and if the PRB interference noise power average parameter is larger than or equal to a preset evaluation index, generating alarm information and sending the alarm information to a management platform so as to prompt an administrator to carry out troubleshooting on the target cell.
6. The method according to claim 1, wherein after determining the evaluation value corresponding to the fault parameter according to a preset evaluation model, the method further comprises:
if the target cell is judged to have no fault according to the evaluation value, acquiring uplink perception rate data according to a preset time interval, and determining an uplink perception rate average parameter according to the uplink perception rate data;
and if the average uplink perception rate parameter is smaller than a preset uplink perception rate index, generating alarm information and sending the alarm information to a management platform so as to prompt an administrator to perform troubleshooting on the target cell.
7. The method according to any one of claims 1 to 6, wherein the temporal model is a Prophet temporal model.
8. An indoor cell failure detection device, comprising:
the acquisition module is used for acquiring MR measurement data, the times of wireless access bearing requests and the times of successful establishment of a target cell according to a preset time interval, formatting the MR measurement data according to a preset index to obtain reference signal receiving power sampling point data, determining signal good percentage sample data according to the MR measurement data, and determining backflow ratio sample data according to the times of the wireless access bearing requests and the times of successful establishment;
the training module is used for respectively training the reference signal received power sampling point data, the signal good percentage sample data and the backflow ratio sample data according to a time sequence model to obtain a first dynamic threshold corresponding to the reference signal received power sampling point data, a second dynamic threshold corresponding to the signal good percentage sample data and a third dynamic threshold corresponding to the backflow ratio sample data;
the determining module is used for acquiring data to be tested of a target cell and determining a fault parameter corresponding to the data to be tested according to the first dynamic threshold, the second dynamic threshold and the third dynamic threshold;
and the sending module is used for determining an evaluation value corresponding to the fault parameter according to a preset evaluation model, and if the target cell is judged to have a fault according to the evaluation value, generating alarm information and sending the alarm information to a management platform so as to prompt an administrator to perform troubleshooting on the target cell.
9. A server, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the room-based cell failure detection method of any of claims 1 to 7.
10. A computer storage medium having computer executable instructions stored thereon which, when executed by a processor, implement the cell failure detection method of any one of claims 1 to 7.
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