CN114297444A - Network fault analysis method based on RESET message - Google Patents
Network fault analysis method based on RESET message Download PDFInfo
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- CN114297444A CN114297444A CN202111533279.6A CN202111533279A CN114297444A CN 114297444 A CN114297444 A CN 114297444A CN 202111533279 A CN202111533279 A CN 202111533279A CN 114297444 A CN114297444 A CN 114297444A
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Abstract
A method for analyzing network faults based on RESET messages comprises the following steps: when the base station gives a fault alarm, the core network analyzes the fault type of the base station and forwards the fault type to the ACS, and the ACS judges whether the fault alarm is a false alarm or a real alarm and feeds back the judgment information to the historical database; when the core network has a fault alarm, the base station analyzes the fault type of the core network and forwards the fault type to the ACS, and the ACS judges whether the fault alarm of the core network is a false alarm or a real alarm and feeds back the judgment information to the historical database; the database periodically analyzes the probability of false alarm of the subsequent base station and the core network according to the collected information. The situation that the false alarm possibly occurs in the follow-up of the base station or the core network is discovered in time through the scheme and is processed in time.
Description
Technical Field
The invention relates to the technical field of fault analysis, in particular to a network fault analysis method based on a RESET message.
Background
The 5G technology is developed to support the 4G terminal, the advanced use of 5G is realized, operators for researching and practicing transition schemes from 4G to 5G are promoted, and the method has a pioneering advantage. Meanwhile, innovative research of realizing 4G and 5G interoperation based on application perception is developed in 3GPP at first, the technical advantages of 5G are fully exerted, and the existing 4G investment is reasonably utilized. And the cooperation of the 4G network and the 5G network is realized through a core network interoperation scheme. The operator is therefore leading and pioneering in this technology.
Fault alarms often occur between the core network and the base station, and it is currently required how to determine whether a fault alarm is a false alarm or a real alarm, and how to collect the data to calculate the subsequent possible false alarm situation of the relevant equipment.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a network fault analysis method based on a RESET message.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for analyzing network faults based on RESET messages comprises the following steps:
when the base station gives a fault alarm, the core network analyzes the fault type of the base station and forwards the fault type to the ACS, and the ACS judges whether the fault alarm is a false alarm or a real alarm and feeds back the judgment information to the historical database;
when the core network has a fault alarm, the base station analyzes the fault type of the core network and forwards the fault type to the ACS, and the ACS judges whether the fault alarm of the core network is a false alarm or a real alarm and feeds back the judgment information to the historical database;
the database periodically analyzes the probability of false alarm of the subsequent base station and the core network according to the collected information.
In order to optimize the technical scheme, the specific measures adopted further comprise:
further, when the base station gives a fault alarm, the core network analyzes the fault type of the base station and forwards the fault type to the ACS, and the ACS judges whether the fault alarm is a false alarm or a real alarm and feeds back the judgment information to the history database, wherein the specific contents are as follows:
when a base station has a fault alarm, the base station initiates a RESET message carrying a fault alarm identifier of the base station to a core network, the core network acquires the fault alarm identifier in the RESET message, and acquires a fault type corresponding to the fault alarm identifier from an alarm database by taking the fault alarm identifier as a query condition, and then forwards the fault type to an ACS;
the ACS packs the data information of the fault type into a configuration file request and sends the configuration file request to the base station; the base station analyzes the configuration file request, acquires real-time monitoring index data corresponding to the fault type and forwards the real-time monitoring index data to the ACS; the ACS compares the real-time monitoring index data with the indexes in the threshold database, further judges whether the fault of the base station is misinformed or true alarm, and feeds back the judgment result to the historical database.
Further, when the core network has a fault alarm, the base station analyzes the fault type of the core network and forwards the fault type to the ACS, and the ACS judges whether the fault alarm occurs in the core network and whether the fault alarm is a false alarm or a true alarm and feeds back the judgment information to the history database, wherein the specific contents are as follows:
when the core network has a fault alarm, the core network initiates a RESET message carrying a fault alarm identifier of the core network to a base station, the base station acquires the fault alarm identifier in the RESET message, and acquires a fault type corresponding to the fault alarm identifier from an alarm database by taking the fault alarm identifier as a query condition, and then forwards the fault type to an ACS;
the ACS packages the data information of the fault type into a configuration file request and sends the configuration file request to a core network; the core network analyzes the configuration file request, acquires real-time monitoring index data corresponding to the fault type and forwards the real-time monitoring index data to the ACS; the ACS compares the real-time monitoring index data with the indexes in the threshold database, further judges whether the fault of the core network is misinformed or true alarm, and feeds back the judgment result to the historical database.
Further, the specific content of the database periodically analyzing the probability of false alarm of the subsequent base station and the core network according to the collected information is as follows:
analyzing and acquiring the probability a of the occurrence of false alarm condition of a base station or a core network in the previous period, the probability b of the occurrence of real alarm condition, the probability c of transferring to real alarm in the next period in the occurrence of false alarm condition, the probability d of still transferring to false alarm in the next period in the occurrence of false alarm condition, the probability e of transferring to false alarm in the next period in the occurrence of real alarm condition and the probability f of still transferring to real alarm in the next period in the occurrence of real alarm condition by a historical database; wherein a + b is 1, c + d is 1, and e + f is 1;
and calculating the probability g of false alarm of the base station or the core network in the next period.
The invention has the beneficial effects that:
1. when the base station gives an alarm, the core network refers to the fault type, judges and analyzes whether the fault type is misinformation or true alarm through the ACS, analyzes the possibility of the subsequent false alarm of the relevant equipment for the historical database, and then improves the relevant equipment in time.
2. When the core network has an alarm condition, the base station refers to the fault type, judges and analyzes whether the fault type is false alarm or real alarm through the ACS, analyzes the possibility of the subsequent false alarm of the relevant equipment for the historical database, and then improves the relevant equipment in time.
3. The probability of false alarm of a subsequent base station or a core network is calculated through the database, so that related equipment is improved in advance, and a prevention effect is achieved.
4. Through the mutual cooperation of the base station and the core network, the problems of the related fault types can be mutually checked and collected, and the resource utilization maximization is realized.
Drawings
Fig. 1 is a schematic diagram of calculating the probability of false alarm occurring in the next period in the embodiment of the present invention.
Detailed Description
The present invention will now be described in further detail with reference to the accompanying drawings.
The invention belongs to the network communication environment, mainly comprising: in a 5G network, when a network fault occurs between a core network and a base station, a fault party can actively initiate a RESET message carrying a self identifier to inform the other end. And acquiring the fault type corresponding to the fault from a real-time alarm database by using the core network or base station identifier in the RESET message as a query condition. And reported to the ACS. And the ACS receives the fault type identification and acquires a real-time monitoring index value from a fault core network or a base station through a TR069 protocol. And comparing the fault type trigger threshold with a threshold database so as to realize the implementation process of performing fault secondary confirmation through TR069 after the fault occurs. The method can greatly reduce the false alarm caused by the faults such as sensitive alarm of threshold setting, network jitter and the like when the fault occurs between the base station and the core network, and improve the operation and maintenance support capability of the 5G network.
Step one, when a network fault occurs between a core network and a base station in a 5G network, a fault party can actively initiate a RESET message carrying a self identification to inform the other end. And acquiring the fault type corresponding to the fault from a real-time alarm database by using the core network or base station identifier in the RESET message as a query condition. And reported to the ACS.
And step two, interoperation is carried out between the ACS and the CPE (the core network and the base station of the patent are called CPE for short) through a specific RPC method of a TR069 protocol, and a secondary active monitoring fault confirmation process of the CPE is completed.
The specific description is as follows: firstly, after receiving a fault type identifier, the ACS initiates a configuration file request in a (RPC) format conforming to a TR069 protocol to a fault core network or a base station (a fault CPE for short) through the TR069 protocol, the CPE analyzes the configuration file to obtain a fault type request message and then sends the fault type request message to the ACS again, and the ACS analyzes the configuration file to obtain a real-time monitoring index value of the fault type of the CPE. And comparing the fault type triggering threshold value with a threshold value database. If the threshold value is larger than the threshold value, the alarm is true, otherwise, the false alarm is carried out. And storing the fault secondary confirmation data into a historical fault database.
Step three, refer to fig. 1. The database periodically performs calculations on the collected data. Taking the occurrence situation of a base station as an example, a historical database analyzes and obtains the probability a of the occurrence of false alarm situation of the base station or the core network in the previous period, the probability b of the occurrence of real alarm situation, the probability c of the transition to the real alarm in the next period in the occurrence of false alarm situation, the probability d of the transition to false alarm in the next period in the occurrence of false alarm situation, the probability e of the transition to false alarm in the next period in the occurrence of real alarm situation, and the probability f of the transition to the real alarm in the next period in the occurrence of real alarm situation; wherein a + b is 1, c + d is 1, and e + f is 1;
and calculating the probability g of false alarm of the base station or the core network in the next period.
The probability a of the occurrence of the false alarm in the previous period is calculated in the following manner: and the database acquires the times of the false alarm in the previous period and divides the times by the total alarm times in the previous period to obtain the probability a.
The calculation method of the probability b of the real alarm condition in the previous period is as follows: and the database acquires the times of the real alarm in the previous period and divides the times by the total alarm times in the previous period to obtain the probability b.
The calculation method of the probability c (transition probability of the next period) of transition to true alarm in the next period in the probability a of occurrence of false alarm in the previous period is as follows: the total false alarm rate x (total false alarm times/total alarm times) in history (the previous period and the previous period) is obtained through a history database; the false alarm probability a (the false alarm times of the previous period/the total alarm times of the previous period) in the previous period is obtained through a historical database; calculating the probability c of transferring to a real alarm in the next period in the probability a of occurrence of false alarm in the first period, wherein c is s + (x-a); where s is a threshold, and c + d is 1, d can be obtained.
For example, if the total history false alarm rate x is 30% to 0.3, and the previous false alarm rate a is 28% to 0.28, then a transition of 2% to 0.02 is made to a true alarm, and then 2% + 20% (threshold s) of the transition yields the transition probability c in the next period to 0.22, and further d is 1-22% to 0.78. Wherein the threshold s is preset, and a specific threshold is selected for the true transition difference (in this example, the difference is 2%) in different intervals to ensure that the transition probability is less than 1 and greater than 0.
The calculation method of the probability e (transition probability of the next period) of transition to false alarm in the next period in the probability b of occurrence of a real alarm condition in the previous period is as follows: the historical (previous period and previous period) total real alarm rate x' (total real alarm times/total alarm times) is obtained through a historical database; the real alarm probability b (the real alarm times of the previous period/the total alarm times of the previous period) in the previous period is obtained through a historical database; calculating the probability e of transferring to false alarm in the next period from the probability b of real alarm in the first period, wherein the probability e is s '+ (x' -b); where s' is a threshold, and e + f is 1, f can be obtained.
For example, if the total historical true alarm rate x 'is 70% to 0.7, and the previous true alarm rate b is 72% to 0.72, then a transition of 2% to 0.02 is made into a false alarm, and 2% + 30% (threshold s') of the transition is used to find the transition probability e in the next period of 32% to 0.32, and further f is 1-32% to 0.68. Wherein the threshold s' is set in advance, and a specific threshold is selected for the transition difference (in this example, the difference is 2%) in different intervals to ensure that the transition probability is less than 1 and greater than 0.
In summary, in the next phase, the false alarm probability g of the base station is 0.28 × 0.78+0.72 × 0.32 × 0.4488, which may not exceed 60% of the red line, and the manual work may temporarily not repair the base station.
The application adopts the idea of Markov chain algorithm. The Markov transfer matrix method model formula is as follows: x (k +1) ═ X (k) × P; x (k) represents a state vector of the trend analysis and prediction target at time t ═ k, P represents a one-step transition probability matrix, and X (k +1) represents a state vector of the trend analysis and prediction target at time t ═ k + 1.
The method mainly calculates the probability g of the occurrence of false alarm in the next period, because the real alarm indicates that the whole system is in normal operation and no problem occurs on the alarm, and if the probability of false alarm is higher, the method indicates that the equipment (base station or core network) of the relevant equipment is aged or has other problems and needs to be replaced or repaired in time.
It should be noted that the terms "upper", "lower", "left", "right", "front", "back", etc. used in the present invention are for clarity of description only, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not limited by the technical contents of the essential changes.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (4)
1. A method for analyzing network faults based on RESET messages is characterized by comprising the following steps:
when the base station gives a fault alarm, the core network analyzes the fault type of the base station and forwards the fault type to the ACS, and the ACS judges whether the fault alarm is a false alarm or a real alarm and feeds back the judgment information to the historical database;
when the core network has a fault alarm, the base station analyzes the fault type of the core network and forwards the fault type to the ACS, and the ACS judges whether the fault alarm of the core network is a false alarm or a real alarm and feeds back the judgment information to the historical database;
the database periodically analyzes the probability of false alarm of the subsequent base station and the core network according to the collected information.
2. The method for analyzing network failure based on RESET message according to claim 1, wherein when the base station fails and alarms, the core network analyzes the type of the failure occurred in the base station and forwards the type of the failure to the ACS, and the ACS determines whether the failure alarm occurred in the base station is a false alarm or a true alarm and feeds back the determination information to the history database, and the specific content is as follows:
when a base station has a fault alarm, the base station initiates a RESET message carrying a fault alarm identifier of the base station to a core network, the core network acquires the fault alarm identifier in the RESET message, and acquires a fault type corresponding to the fault alarm identifier from an alarm database by taking the fault alarm identifier as a query condition, and then forwards the fault type to an ACS;
the ACS packs the data information of the fault type into a configuration file request and sends the configuration file request to the base station; the base station analyzes the configuration file request, acquires real-time monitoring index data corresponding to the fault type and forwards the real-time monitoring index data to the ACS; the ACS compares the real-time monitoring index data with the indexes in the threshold database, further judges whether the fault of the base station is misinformed or true alarm, and feeds back the judgment result to the historical database.
3. The method for analyzing network failure based on RESET message according to claim 1, wherein when the core network has failure alarm, the base station analyzes the failure type of the core network and forwards the failure type to the ACS, the ACS determines whether the failure alarm occurs in the core network and whether the alarm is false alarm or true alarm, and the specific content of feeding back the determination information to the history database is as follows:
when the core network has a fault alarm, the core network initiates a RESET message carrying a fault alarm identifier of the core network to a base station, the base station acquires the fault alarm identifier in the RESET message, and acquires a fault type corresponding to the fault alarm identifier from an alarm database by taking the fault alarm identifier as a query condition, and then forwards the fault type to an ACS;
the ACS packages the data information of the fault type into a configuration file request and sends the configuration file request to a core network; the core network analyzes the configuration file request, acquires real-time monitoring index data corresponding to the fault type and forwards the real-time monitoring index data to the ACS; the ACS compares the real-time monitoring index data with the indexes in the threshold database, further judges whether the fault of the core network is misinformed or true alarm, and feeds back the judgment result to the historical database.
4. The method for analyzing a network fault based on a RESET message according to claim 1, wherein the specific content of the database periodically analyzing the probability of false alarm of the subsequent base station and the core network according to the collected information is as follows:
analyzing and acquiring the probability a of the occurrence of false alarm condition of a base station or a core network in the previous period, the probability b of the occurrence of real alarm condition, the probability c of transferring to real alarm in the next period in the occurrence of false alarm condition, the probability d of still transferring to false alarm in the next period in the occurrence of false alarm condition, the probability e of transferring to false alarm in the next period in the occurrence of real alarm condition and the probability f of still transferring to real alarm in the next period in the occurrence of real alarm condition by a historical database; wherein a + b =1, c + d =1, e + f = 1;
and calculating the probability g = a + d + b + e of the occurrence of false alarm of the base station or the core network in the next period.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114900440A (en) * | 2022-05-25 | 2022-08-12 | 中电信数智科技有限公司 | Markov chain combined Bayesian network early warning method and system |
| CN115022908A (en) * | 2022-05-11 | 2022-09-06 | 中电信数智科技有限公司 | Method for predicting and positioning abnormity of core network and base station transmission network |
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- 2021-12-15 CN CN202111533279.6A patent/CN114297444A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115022908A (en) * | 2022-05-11 | 2022-09-06 | 中电信数智科技有限公司 | Method for predicting and positioning abnormity of core network and base station transmission network |
| CN115022908B (en) * | 2022-05-11 | 2023-05-12 | 中电信数智科技有限公司 | Method for predicting and positioning abnormality of core network and base station transmission network |
| CN114900440A (en) * | 2022-05-25 | 2022-08-12 | 中电信数智科技有限公司 | Markov chain combined Bayesian network early warning method and system |
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