CN117750408A - Communication fault sniffing method based on Internet of things - Google Patents
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Abstract
The invention relates to the technical field of wireless communication, in particular to a communication fault sniffing method based on the Internet of things, which comprises the following steps: acquiring communication base station position information, and constructing a communication network topology based on the communication base station position information; acquiring a communication network topology, analyzing the complexity of nodes corresponding to the position information of each communication base station in the communication network topology, and configuring a fault sniffing period for the position information of each communication base station in the communication network topology based on the complexity analysis result; the invention can construct communication network topology by using the position information of the communication base station, further analyze the complexity degree of the communication base station corresponding to the nodes in each communication network by using the communication network topology, design the fault sniffing period of the communication base station according to the analysis result of the complexity degree of the communication base station, further capture the operation parameters of the communication base station based on the fault sniffing period of the communication base station, and finally predict whether the communication base station has faults based on the captured operation parameters of the communication base station.
Description
Technical Field
The invention relates to the technical field of wireless communication, in particular to a communication fault sniffing method based on the Internet of things.
Background
Communication failure refers to unexpected situations or errors occurring in the communication process, so that communication cannot be performed normally or data transmission is affected. Communication failures may occur in various communication systems, including telephone networks, computer networks, wireless communications, and the like.
Aiming at the current communication technology, most of related technicians focus on capturing and maintaining efficiency of fault problems in a communication network, and attention is paid to fault prediction and prevention of the communication network, so that the problem that the fault rate of the communication network is long-lived, the communication experience of a communication user is affected, and the labor cost for maintaining the communication network is increased is solved.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a communication fault sniffing method based on the Internet of things, which solves the technical problems in the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme:
a communication fault sniffing method based on the Internet of things comprises the following steps: acquiring communication base station position information, and constructing a communication network topology based on the communication base station position information; acquiring a communication network topology, analyzing the complexity of nodes corresponding to the position information of each communication base station in the communication network topology, and configuring a fault sniffing period for the position information of each communication base station in the communication network topology based on the complexity analysis result; after the communication base station configures a fault sniffing period, the fault sniffing period is applied to capture operation parameters of each communication base station; acquiring communication base station operation parameters captured based on a sniffing period, analyzing communication base station operation security situations by applying the communication base station operation parameters, and placing the analyzed communication base station operation security situations in a slope chart for representation; setting a communication fault safety judgment threshold value, acquiring a latest analyzed communication base station operation safety situation, comparing the communication base station operation safety situation with the communication fault safety judgment threshold value, and predicting whether the communication base station has a fault currently; acquiring a prediction result of whether a communication base station has a fault or not, and when the prediction result is yes, identifying a communication base station operation security situation applied by comparison with a communication fault security judgment threshold value, and acquiring the position information of the communication base station where a corresponding node in a communication network topology of the communication base station operation security situation source is located;
the obtained communication base station position information is manually uploaded by a user side, when the user side uploads the communication base station position information, each group of uploaded communication base station position information corresponds to a signal receiving and transmitting target of the communication base station corresponding to the uploaded communication base station position information, when the communication network topology is built, the communication network topology is built based on the communication base station position information uploading time sequence;
the analysis logic for the communication base station operating security situation is expressed as:
wherein: delta is the running security situation representation value of the communication base station; loss of loss k The packet loss rate is transmitted and received for the signal; t is the signal receiving and transmitting time delay; get k The communication signal completing rate is used; start k Is the communication signal communication rate; p (P) q 、P q+1 The signal transmit-receive baud rate in the operation parameters of the communication base station captured by the q and q+1 groups;
when the operation security situation representation value of the communication base station is obtained based on the above, two groups of newly stored communication base station operation parameters of the same signal base station in the cloud database are always applied, the latest group of communication base station operation parameters are represented by q+1, the other group of communication base station operation parameters are represented by q, and the operation of obtaining the operation security situation representation value delta of the communication base station is synchronously executed according to the sniffing period.
Further, the complexity analysis logic for each communication base station location information corresponding node in the communication network topology is expressed as:
wherein: f is the complexity of the node corresponding to the position information of the communication base station; ρ is the user density of the region to which the communication base station position information belongs; m is the total quantity of node connection nodes corresponding to the position information of the communication base station; epsilon is correction compensation; n is a set of node connection nodes corresponding to the position information of the communication base station, j epsilon n; d (v) i ,v j ) Connecting the shortest path distance of a node j in the node in the communication network topology for the position information of the node i corresponding to the position information of the communication base station and the node corresponding to the position information of the communication base station;
the greater the complexity f value of the node corresponding to the communication base station position information is, the greater the work load of the communication base station where the node corresponding to the communication base station position information is located is, otherwise, the smaller the work load is;
the user density rho of the area to which the communication base station position information belongs is set based on the communication task frequency which is routinely executed by the communication base station, and the higher the communication task frequency which is routinely executed by the communication base station is, the higher the user density is, and the lower the user density is, otherwise the lower the user density is;
the area to which the communication base station position information belongs, that is, the area to which the communication base station position information belongs, takes the communication base station position information as a center, and the limit distance of signal receiving and transmitting of the communication base station corresponding to the communication base station is defined as a radius, and after the communication base station position information corresponding node is excluded from connecting each node, the remaining area is:
wherein: k is the communication task frequency of daily execution of the communication base station; s is the area to which the communication base station location information belongs.
Further, after analyzing the complexity of the node corresponding to the location information of each communication base station in the communication network topology, when the communication base station configures the fault sniffing period, obeys to:
the fault sniffing period of the communication base station is not less than 12h, the higher the complexity of the corresponding node of the position information of the communication base station is, the shorter the fault sniffing period of the communication base station is, and the higher the frequency of sniffing faults of the communication base station based on the configured sniffing period is, the shorter the fault sniffing period of the communication base station is.
Still further, the captured communication base station operating parameters include: the method comprises the steps of carrying out an operation parameter capturing stage on each communication base station by applying a fault sniffing period, synchronizing a cloud database in a network, sending the operation parameters of the communication base stations to the cloud database after capturing the operation parameters of the communication base stations, and distinguishing and storing the operation parameters of the communication base stations based on communication base stations from which the operation parameters of the communication base stations are derived when the operation parameters of the communication base stations are stored in the cloud database, wherein in the step 3, when the operation parameters of the communication base stations are captured, the operation parameters of the communication base stations are captured by the communication base stations themselves, and after the operation parameters are captured, the operation parameters of all captured communication base stations are transmitted corresponding to the communication base stations based on nodes connected with the communication base stations in a communication network topology, so that the operation parameters of the communication base stations are packaged by the communication base stations which are gathered to the operation parameters of all the communication base stations after the operation parameters of the communication base stations are gathered in the communication base stations corresponding to the communication base stations in the communication network topology, and the operation parameters of the communication base stations are sent to the cloud database.
Further, the operation of setting the communication base station running security situation in the slope map, namely the operation that the communication base station running security situation represents the value in the slope map, the slope map is synchronously updated based on the sniffing period and fed back to the cloud database, and the user side reads the slope map in the cloud database;
and if the prediction result is negative, the synchronous refreshing step jumps, and when the next sniffing period starts, the operation of communication base station fault prediction is executed again, and if the prediction result is positive, the operation is executed in real time: and if yes, identifying the operation security situation of the applied communication base station compared with the communication failure security judgment threshold value, acquiring the position information of the communication base station where the corresponding node is located in the communication network topology of the communication base station operation security situation source, acquiring the communication network topology again after the operation is finished, analyzing the complexity degree of the corresponding node of the position information of each communication base station in the communication network topology, configuring a failure sniffing period again for each communication base station position information corresponding communication base station in the communication network topology based on the complexity degree analysis result, and configuring the execution of the steps in the method by using the new sniffing period obtained by the reconfiguration.
Furthermore, after the position information of the communication base station where the corresponding node in the communication base station operation security situation source communication network topology is located is obtained, the position information is synchronously fed back to the cloud database, and the user side reads the communication base station and the position information of the communication base station, the prediction result of which is a fault problem, in the cloud database.
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
the invention provides a communication fault sniffing method based on the Internet of things, which can construct a communication network topology according to the position information of a communication base station in the execution process, further analyze the complexity degree of a corresponding communication base station of nodes in each communication network according to the communication network topology, design a communication base station fault sniffing period according to the complexity degree analysis result of the communication base station, further capture the operation parameters of the communication base station based on the communication base station fault sniffing period, finally predict whether the communication base station has faults based on the captured operation parameters of the communication base station, provide interaction conditions for communication network maintenance personnel, bring visual reading conditions for the prediction result of whether the communication base station has faults on the basis, and then configure the interaction conditions for the communication network maintenance personnel so that the faults possibly existing in the communication network can be monitored by the communication network maintenance personnel in time, and further carry out the treatment of prevention and timely response on the communication network faults.
Drawings
In order to more clearly illustrate the embodiments of the present invention 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. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
Fig. 1 is a schematic structural diagram of a communication fault sniffing method based on the internet of things;
fig. 2 is a slope diagram showing a change in the operating security situation representation value of a communication base station according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention is further described below with reference to examples.
Example 1
The communication fault sniffing method based on the internet of things in the embodiment, as shown in fig. 1, comprises the following steps: step 1: acquiring communication base station position information, and constructing a communication network topology based on the communication base station position information; step 2: acquiring a communication network topology, analyzing the complexity of nodes corresponding to the position information of each communication base station in the communication network topology, and configuring a fault sniffing period for the position information of each communication base station in the communication network topology based on the complexity analysis result; step 3: after the communication base station configures a fault sniffing period, the fault sniffing period is applied to capture operation parameters of each communication base station; step 4: acquiring communication base station operation parameters captured based on a sniffing period, analyzing communication base station operation security situations by applying the communication base station operation parameters, and placing the analyzed communication base station operation security situations in a slope chart for representation; step 5: setting a communication fault safety judgment threshold value, acquiring the latest analyzed running safety situation of the communication base station in the step 4, comparing the running safety situation of the communication base station with the communication fault safety judgment threshold value, and predicting whether the communication base station has a fault currently; step 6: acquiring a prediction result of whether a communication base station has a fault or not, and when the prediction result is yes, identifying a communication base station operation security situation applied by comparison with a communication fault security judgment threshold value, and acquiring the position information of the communication base station where a corresponding node in a communication network topology of the communication base station operation security situation source is located;
in step 2, the complexity analysis logic of the corresponding node of the position information of each communication base station in the communication network topology is expressed as follows:
wherein: f is the complexity of the node corresponding to the position information of the communication base station; ρ is the user density of the region to which the communication base station position information belongs; m is the total quantity of node connection nodes corresponding to the position information of the communication base station; epsilon is correction compensation; n is a set of node connection nodes corresponding to the position information of the communication base station, j epsilon n; d (v) i ,v j ) Connecting the shortest path distance of a node j in the node in the communication network topology for the position information of the node i corresponding to the position information of the communication base station and the node corresponding to the position information of the communication base station;
the greater the complexity f value of the node corresponding to the communication base station position information is, the greater the work load of the communication base station where the node corresponding to the communication base station position information is located is, otherwise, the smaller the work load is;
the user density rho of the area to which the communication base station position information belongs is set based on the communication task frequency which is routinely executed by the communication base station, and the higher the communication task frequency which is routinely executed by the communication base station is, the higher the user density is, and the lower the user density is, otherwise the user density is;
the area to which the communication base station position information belongs, that is, the area to which the communication base station position information belongs, takes the communication base station position information as a center, and the limit distance of the communication base station signal receiving and transmitting corresponding to the communication base station position information as a radius, and in the limited circular area, the area to which the communication base station position information corresponding node is connected and the remaining area after the area to which the communication base station position information belongs is excluded, the method comprises the following steps:
wherein: k is the communication task frequency of daily execution of the communication base station; s is the area of the communication base station position information;
in step 4, the analysis logic of the running security situation of the communication base station is expressed as follows:
wherein: delta is the running security situation representation value of the communication base station; loss of loss k The packet loss rate is transmitted and received for the signal; t is the signal receiving and transmitting time delay; get k The communication signal completing rate is used; start k Is the communication signal communication rate; p (P) q 、P q+1 The signal transmit-receive baud rate in the operation parameters of the communication base station captured by the q and q+1 groups;
when the operation security situation representation value of the communication base station is obtained based on the above method, two groups of newly stored communication base station operation parameters of the same signal base station in the cloud database are always applied, the latest group of communication base station operation parameters are represented by q+1, the other group of communication base station operation parameters are represented by q, and the operation of obtaining the operation security situation representation value delta of the communication base station is synchronously executed according to the sniffing period.
In this embodiment, the above steps are performed, so that a relatively comprehensive and fine fault sniffing process is brought to the communication network, so that a fault problem in the communication network exists.
Example 2
On the aspect of implementation, based on embodiment 1, this embodiment further specifically describes a communication fault sniffing method based on the internet of things in embodiment 1 with reference to fig. 1:
the communication base station position information acquired in the step 1 is manually uploaded by a user side, when the user side uploads the communication base station position information, each group of uploaded communication base station position information corresponds to a signal receiving and transmitting target of the communication base station corresponding to the uploaded communication base station position information, when the communication network topology is built, the communication network topology is built based on the communication base station position information uploading time sequence, and therefore the communication network topology is built.
Through the arrangement, the specified construction logic is provided for the constructed communication network topology in the implementation process of the method steps in the embodiment 1, and meanwhile, the stability of the construction process of the communication network topology is ensured based on the definition of the construction logic.
As shown in fig. 1, step 2, after analyzing the complexity of the node corresponding to the location information of each communication base station in the communication network topology, obeys to:
the fault sniffing period of the communication base station is not less than 12h, the higher the complexity of the corresponding node of the position information of the communication base station is, the shorter the fault sniffing period of the communication base station is, and the higher the frequency of sniffing faults of the communication base station based on the configured sniffing period is, the shorter the fault sniffing period of the communication base station is.
By the above arrangement, the configuration logic of the communication base station fault sniffing period is further defined.
As shown in fig. 1, the communication base station operation parameters captured in step 3 include: the method comprises the following steps of performing a stage of synchronizing a signal transmit-receive baud rate, a signal transmit-receive packet loss rate, a signal transmit-receive delay, a communication signal connection and a communication rate in a network, deploying a cloud database in the network, transmitting communication base station operation parameters to the cloud database after capturing the communication base station operation parameters, distinguishing and storing the communication base station operation parameters based on communication base stations from which the communication base station operation parameters are transmitted when the communication base station operation parameters are stored in the cloud database, performing capturing of the communication base station operation parameters, transmitting the communication base station operation parameters based on nodes connected with the communication base stations in the communication network topology after capturing of the operation parameters, enabling all captured communication base station operation parameters to be converged in any node in the communication network topology corresponding to the communication base stations, packaging the communication base station operation parameters by the communication base stations converging all the communication base station operation parameters in the cloud, and transmitting the communication base station operation parameters to the cloud database.
Through the arrangement, interaction conditions are provided for background maintenance personnel of the communication base station, so that the maintenance personnel can acquire data in real time in the step execution of the method, and real-time safety monitoring is conveniently carried out on the communication network.
Example 3
On the aspect of implementation, based on embodiment 1, this embodiment further specifically describes a communication fault sniffing method based on the internet of things in embodiment 1 with reference to fig. 1:
the operation of placing the communication base station in the slope chart to run the security situation, namely the operation that the communication base station runs the security situation representation value to be represented in the slope chart, the slope chart is synchronously updated based on the sniffing period and fed back to the cloud database, and the user side reads the slope chart in the cloud database;
if the predicted result in the step 5 is no, the synchronous refreshing step jumps, when the next sniffing period starts, the operation of communication base station fault prediction is executed again, if the predicted result in the step 5 is yes, the real-time jump step 6 is further executed, after the execution of the step 6 is finished, the jump step 2 is executed, the sniffing period is reset based on the step 2, and the new sniffing period configuration step obtained by the reset is used for executing;
and 6, after the position information of the communication base station where the corresponding node in the communication base station operation security situation source communication network topology is located is obtained, synchronously feeding back to a cloud database, and reading the communication base station and the position information of the communication base station, wherein the prediction result of which is a fault problem, in the cloud database by the user side.
By the above arrangement, the method of embodiment 1 is further provided with continuous execution logic, so that the method described in embodiment 1 can be ensured to be continuously executed in a specific implementation stage, thereby providing continuous communication fault monitoring for the communication network.
In summary, in the implementation process of the method in the above embodiment, a communication network topology can be constructed according to the position information of the communication base station, and further, the complexity of the communication base station corresponding to the nodes in each communication network is analyzed according to the communication network topology, so that a communication base station fault sniffing period is designed according to the complexity analysis result of the communication base station, the operation parameters of the communication base station are further captured based on the communication base station fault sniffing period, finally, whether the communication base station has a fault is predicted based on the captured operation parameters of the communication base station, interaction conditions of communication network maintenance personnel are provided, visual reading conditions are brought to the prediction result of whether the communication base station has a fault on the basis, and then, the interaction conditions of the communication network maintenance personnel are configured, so that possible faults in the communication network can be monitored by the communication network maintenance personnel in time, and further, the communication network fault is prevented and timely responded.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The communication fault sniffing method based on the Internet of things is characterized by comprising the following steps of:
step 1: acquiring communication base station position information, and constructing a communication network topology based on the communication base station position information;
step 2: acquiring a communication network topology, analyzing the complexity of nodes corresponding to the position information of each communication base station in the communication network topology, and configuring a fault sniffing period for the position information of each communication base station in the communication network topology based on the complexity analysis result;
step 3: after the communication base station configures a fault sniffing period, the fault sniffing period is applied to capture operation parameters of each communication base station;
step 4: acquiring communication base station operation parameters captured based on a sniffing period, analyzing communication base station operation security situations by applying the communication base station operation parameters, and placing the analyzed communication base station operation security situations in a slope chart for representation;
step 5: setting a communication fault safety judgment threshold value, acquiring the latest analyzed running safety situation of the communication base station in the step 4, comparing the running safety situation of the communication base station with the communication fault safety judgment threshold value, and predicting whether the communication base station has a fault currently;
step 6: and if the prediction result is yes, identifying the communication base station operation security situation which is compared with the communication failure security judgment threshold value, and acquiring the position information of the communication base station where the corresponding node in the communication network topology of the communication base station operation security situation source is located.
2. The method for sniffing communication failures based on the internet of things according to claim 1, wherein the communication base station position information acquired in the step 1 is manually uploaded by a user terminal, when the user terminal uploads the communication base station position information, each group of uploaded communication base station position information corresponds to a signal receiving and transmitting target of a communication base station corresponding to the position information of the communication base station of the previous group, each group of uploaded communication base station position information corresponds to a signal receiving and transmitting target of the communication base station corresponding to the position information of the communication base station of the next group, and when the communication network topology is constructed, the communication network topology is constructed based on the interconnection of the uploading time sequences of the communication base station position information.
3. The method for sniffing communication failures based on the internet of things according to claim 1, wherein the complexity analysis logic for each node corresponding to the position information of the communication base station in the communication network topology in the step 2 is expressed as:
wherein: f is the complexity of the node corresponding to the position information of the communication base station; ρ is the user density of the region to which the communication base station position information belongs; m is the total quantity of node connection nodes corresponding to the position information of the communication base station; epsilon is correction compensation; n is a set of node connection nodes corresponding to the position information of the communication base station, j epsilon n; d (v) i ,v j ) Connecting the shortest path distance of a node j in the node in the communication network topology for the position information of the node i corresponding to the position information of the communication base station and the node corresponding to the position information of the communication base station;
the greater the complexity f value of the node corresponding to the communication base station position information is, the greater the work load of the communication base station where the node corresponding to the communication base station position information is located is, otherwise, the smaller the work load is.
4. The communication fault sniffing method based on the internet of things according to claim 3, wherein the user density ρ of the area to which the communication base station location information belongs is set based on the communication task frequency that the communication base station daily executes, the higher the user density, and vice versa, the lower the user density;
the area to which the communication base station position information belongs, that is, the area to which the communication base station position information belongs, takes the communication base station position information as a center, and the limit distance of signal receiving and transmitting of the communication base station corresponding to the communication base station is defined as a radius, and after the communication base station position information corresponding node is excluded from connecting each node, the remaining area is:
wherein: k is the communication task frequency of daily execution of the communication base station; s is the area to which the communication base station location information belongs.
5. The method for sniffing communication failures based on the internet of things according to claim 3, wherein the step 2 is performed after analyzing the complexity of the corresponding node of the position information of each communication base station in the communication network topology, and when the communication base station configures the failure sniffing period, obeys to:
the fault sniffing period of the communication base station is not less than 12h, the higher the complexity of the corresponding node of the position information of the communication base station is, the shorter the fault sniffing period of the communication base station is, and the higher the frequency of sniffing faults of the communication base station based on the configured sniffing period is, the shorter the fault sniffing period of the communication base station is.
6. The communication fault sniffing method based on the internet of things according to claim 1, wherein the communication base station operation parameters captured in step 3 include: the method comprises the following steps of performing a stage of synchronously deploying a cloud database in a network, sending communication base station operation parameters to the cloud database after capturing the communication base station operation parameters, distinguishing and storing the communication base station operation parameters based on communication base station sources when the communication base station operation parameters are stored in the cloud database, performing capturing of the communication base station operation parameters by the communication base station, transmitting the communication base station operation parameters based on nodes connected with the communication base station operation parameters in a communication network topology after capturing of the operation parameters, enabling all captured communication base station operation parameters to be converged to the communication base station corresponding to any node in the communication network topology, packaging the communication base station operation parameters by the communication base station converging all the communication base station operation parameters, and sending the communication base station operation parameters to the cloud database.
7. The communication fault sniffing method based on the internet of things according to claim 1, wherein the analysis logic for the communication base station operation security situation in the step 4 is expressed as:
wherein: delta is the running security situation representation value of the communication base station; loss of loss k The packet loss rate is transmitted and received for the signal; t is the signal receiving and transmitting time delay; get k The communication signal completing rate is used; start k Is the communication signal communication rate; p (P) q 、P q+1 Among the communication base station operating parameters captured for the q and q+1 th groupsA signal transmit-receive baud rate;
when the operation security situation representation value of the communication base station is obtained based on the above, two groups of newly stored communication base station operation parameters of the same signal base station in the cloud database are always applied, the latest group of communication base station operation parameters are represented by q+1, the other group of communication base station operation parameters are represented by q, and the operation of obtaining the operation security situation representation value delta of the communication base station is synchronously executed according to the sniffing period.
8. The method for sniffing communication faults based on the internet of things according to claim 1, wherein the operation of setting the operation security situation of the communication base station in the slope map is carried out, namely, the operation of representing the operation security situation of the communication base station in the slope map is carried out, the slope map is synchronously updated based on sniffing periods and fed back to a cloud database, and the user side reads the slope map in the cloud database.
9. The method for sniffing communication failures based on the internet of things according to claim 1, wherein when the predicted result in the step 5 is no, the synchronous refreshing step jumps, and when the next sniffing period starts, the operation of communication base station failure prediction is executed again, and when the predicted result in the step 5 is yes, the real-time jumping step 6 is further executed, and after the execution of the step 6 ends, the jumping step 2 resets the sniffing period based on the step 2 and is executed by using the new sniffing period configuration step obtained by the reset.
10. The method for sniffing communication failures based on the internet of things according to claim 1, wherein the step 6 is to synchronously feed back the position information of the communication base station where the corresponding node is located in the communication base station operation security situation source communication network topology to a cloud database after the position information of the communication base station is obtained, and the user side reads the communication base station where the prediction result is that the failure problem and the position information of the communication base station in the cloud database.
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| CN113891373A (en) * | 2021-10-11 | 2022-01-04 | 中盈优创资讯科技有限公司 | Base station quality degradation self-healing method and device |
| CN114828057A (en) * | 2022-04-15 | 2022-07-29 | 珠海市鸿瑞信息技术股份有限公司 | Communication base station distribution network monitoring system and method based on GIS |
| US20230010406A1 (en) * | 2022-04-01 | 2023-01-12 | Kshitij Arun Doshi | Brokered network traffic monitoring and threat analysis |
| CN116744357A (en) * | 2023-06-21 | 2023-09-12 | 中国电信股份有限公司 | Base station fault prediction method, device, equipment and medium |
| CN117135646A (en) * | 2022-05-20 | 2023-11-28 | 中国移动通信有限公司研究院 | Network control method, device, related equipment and storage medium |
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Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108540330A (en) * | 2018-04-24 | 2018-09-14 | 南京邮电大学 | A kind of network fault diagnosis method based on deep learning under heterogeneous network environment |
| CN113258995A (en) * | 2020-09-27 | 2021-08-13 | 中兴通讯股份有限公司 | Fault prediction method, device and computer readable storage medium |
| CN113891373A (en) * | 2021-10-11 | 2022-01-04 | 中盈优创资讯科技有限公司 | Base station quality degradation self-healing method and device |
| US20230010406A1 (en) * | 2022-04-01 | 2023-01-12 | Kshitij Arun Doshi | Brokered network traffic monitoring and threat analysis |
| CN114828057A (en) * | 2022-04-15 | 2022-07-29 | 珠海市鸿瑞信息技术股份有限公司 | Communication base station distribution network monitoring system and method based on GIS |
| CN117135646A (en) * | 2022-05-20 | 2023-11-28 | 中国移动通信有限公司研究院 | Network control method, device, related equipment and storage medium |
| CN116744357A (en) * | 2023-06-21 | 2023-09-12 | 中国电信股份有限公司 | Base station fault prediction method, device, equipment and medium |
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