CN111698760B - Wireless access point intelligent management method, device and readable storage medium - Google Patents

Wireless access point intelligent management method, device and readable storage medium Download PDF

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Publication number
CN111698760B
CN111698760B CN202010561874.XA CN202010561874A CN111698760B CN 111698760 B CN111698760 B CN 111698760B CN 202010561874 A CN202010561874 A CN 202010561874A CN 111698760 B CN111698760 B CN 111698760B
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wireless
access point
wireless access
request
abnormal
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CN111698760A (en
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高华辰
左子垚
王心刚
周泳
张志青
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Yichen Shenzhen Technology Co ltd
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Yichen Shenzhen Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W48/00Access restriction; Network selection; Access point selection
    • H04W48/16Discovering, processing access restriction or access information
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W48/00Access restriction; Network selection; Access point selection
    • H04W48/08Access restriction or access information delivery, e.g. discovery data delivery

Abstract

The invention discloses a wireless access point intelligent management method, a wireless access point intelligent management device and a readable storage medium, and relates to the technical field of wireless networks. The intelligent management method of the wireless access point is applied to computer equipment and comprises the following steps: acquiring a wireless configuration version of the master wireless access point and a wireless configuration version of the at least one slave wireless access point; determining a target wireless access point corresponding to the wireless configuration version with the highest version from the wireless configuration version of the master wireless access point and the wireless configuration version of the at least one slave wireless access point; sending a target configuration version of the target wireless access point to the master wireless access point; and sending an update instruction to the master wireless access point so as to update the wireless configuration version of the master wireless access point to the target configuration version, and sending the target configuration version to the at least one slave wireless access point, so that the management of the wireless access points can be conveniently realized.

Description

Wireless access point intelligent management method, device and readable storage medium
Technical Field
The invention relates to the technical field of wireless networks, in particular to a wireless access point intelligent management method, a wireless access point intelligent management device and a readable storage medium.
Background
At present, in a local area network formed by a plurality of APs (Access points, referred to as Wireless Access points for short), the local area network generally comprises a master AP and a plurality of slave APs, and the master AP sends its Wireless configuration to the slave APs through an AC (Wireless Access Point Controller) management mechanism. In the prior art, wireless configuration versions of APs may be different and may change at any time, and it is very difficult to manage all APs with the same wireless configuration version, so that the existing wireless access point management scheme is very inconvenient.
In view of the above, it is desirable to provide a convenient management scheme for wireless access points by those skilled in the art.
Disclosure of Invention
The invention provides a wireless access point intelligent management method, a wireless access point intelligent management device and a readable storage medium.
In a first aspect, an embodiment of the present invention provides a wireless access point intelligent management method, which is applied to a computer device, where the computer device is in communication connection with a plurality of wireless access points, where the plurality of wireless access points include a master wireless access point and at least one slave wireless access point, and the master wireless access point and the at least one slave wireless access point are in communication connection, where the method includes:
acquiring a wireless configuration version of the master wireless access point and a wireless configuration version of the at least one slave wireless access point;
determining a target wireless access point corresponding to the wireless configuration version with the highest version from the wireless configuration version of the master wireless access point and the wireless configuration version of the at least one slave wireless access point;
sending a target configuration version of the target wireless access point to the master wireless access point;
and sending an update instruction to the master wireless access point so as to update the wireless configuration version of the master wireless access point to the target configuration version, and sending the target configuration version to the at least one slave wireless access point.
Optionally, the computer device is further communicatively connected to a configuration version pool, and before the step of obtaining the wireless configuration version of the master wireless access point and the wireless configuration version of the at least one slave wireless access point, the method includes:
when the networking of the at least one slave wireless access point is successful, sending a packaging instruction to the at least one slave wireless access point so as to package the equipment information of the at least one slave wireless access point into a registration data packet, and sending the registration data packet to the configuration version pool, wherein the registration data packet comprises the wireless configuration version of the at least one slave wireless access point;
the obtaining the wireless configuration version of the master wireless access point and the wireless configuration version of the at least one slave wireless access point includes:
and acquiring the wireless configuration version of the master wireless access point, and acquiring the wireless configuration version of the at least one slave wireless access point from the configuration version pool.
Optionally, the method further comprises a step of detecting whether the slave wireless access point is in communication connection with the master wireless access point, the step comprising:
acquiring a plurality of wireless communication requests with a time sequence relation according to a preset time interval, wherein the wireless communication requests are requests for detecting a communication state, which are sent from a slave wireless access point to a master wireless access point;
respectively determining detection identification information to be determined from each wireless communication request according to preset detection identification information in the reference wireless communication request to obtain the detection identification information to be determined of each wireless communication request, wherein the preset detection identification information comprises a local area network address format and a slave wireless access point label;
processing the detection characteristic value of each piece of detection identification information to be determined to obtain the processed detection identification information to be determined;
carrying out normalization processing on the detection characteristic values of the detection identification information to be determined after processing to obtain the preprocessing detection characteristic values of each wireless communication request;
respectively extracting the characteristics of each preprocessing detection characteristic value by adopting a preset characteristic extraction network model to obtain the detection characteristics of each wireless communication request;
adopting a pre-trained time sequence characteristic processing network model to extract the time sequence characteristics of the detection characteristics of each wireless communication request to obtain target time sequence characteristics;
classifying the target time sequence characteristics by adopting a preset classification network model to obtain a wireless communication state detection result;
when the wireless communication state detection result is abnormal, selecting a target wireless communication request from a plurality of wireless communication requests, importing the target wireless communication request into a communication state detection model pre-trained by a wireless communication key feature detection model, and performing abnormal request detection on the target wireless communication request by adopting the communication state detection model pre-trained by the wireless communication key feature detection model, wherein the communication state detection model pre-trained by the wireless communication key feature detection model is formed by training a plurality of preset sample abnormal request data sets marked with abnormal requests;
if the abnormal request is detected, screening the abnormal request to obtain a request source identifier;
determining an abnormal slave wireless access point from the request source identifier, and processing the abnormal slave wireless access point to obtain an initialized slave wireless access point;
performing identification extraction on the initialized wireless access point to obtain a wireless network identification to be identified, and importing the wireless network identification to be identified into a pre-trained network identification classification model;
classifying the wireless network identification to be recognized by adopting a pre-trained network identification classification model, wherein the pre-trained network identification classification model is formed by training a plurality of sample wireless network identifications marked with wireless network identification analysis results;
acquiring a communication unconnected probability corresponding to the wireless network identifier to be identified with the abnormal classification result from an output result of a communication state detection model pre-trained by the wireless communication key feature detection model, and determining the wireless network identifier to be identified with the communication unconnected probability higher than a preset threshold as the abnormal wireless network identifier;
detecting an abnormal wireless network request from the target wireless communication request, and identifying the type of the abnormal wireless network request to obtain an identification result of the abnormal wireless network request;
and determining whether the slave wireless access point is in communication connection with the master wireless access point or not according to the abnormal wireless network identification and the identification result.
Optionally, the method further comprises:
and when the wireless communication state detection result is normal, detecting an abnormal wireless network request from the target wireless communication request, and identifying the type of the abnormal wireless network request to obtain the type of the abnormal wireless network request.
Optionally, detecting an abnormal wireless network request from the target wireless communication request includes:
and performing key feature detection on the target wireless communication request by adopting a preset wireless communication key feature detection model to obtain at least one abnormal wireless network request, wherein the wireless communication key feature detection model is formed by training a plurality of preset sample abnormal request data sets marked with key features.
Optionally, the method further comprises:
and marking the source and the type of the abnormal wireless network request on the target wireless communication request according to the identification result.
Optionally, the marking, according to the identification result, the source and the type of the abnormal wireless network request on the target wireless communication request includes:
determining the type of the abnormal wireless network request according to the identification result, and acquiring a transmission code of the abnormal wireless network request;
and marking the source of the abnormal wireless network request on the target wireless communication request according to the transmission code, and marking the type of the abnormal wireless network request on the source.
In a second aspect, an embodiment of the present invention provides an apparatus for intelligent management of wireless access points, which is applied to a computer device, where the computer device is communicatively connected to a plurality of wireless access points, where the plurality of wireless access points include a master wireless access point and at least one slave wireless access point, and the master wireless access point and the at least one slave wireless access point are communicatively connected, and the apparatus includes:
an obtaining module, configured to obtain a wireless configuration version of the master wireless access point and a wireless configuration version of the at least one slave wireless access point;
a determining module, configured to determine, from the wireless configuration version of the master wireless access point and the wireless configuration version of the at least one slave wireless access point, a target wireless access point corresponding to a wireless configuration version with a highest version;
a sending module, configured to send a target configuration version of the target wireless access point to the master wireless access point; and sending an update instruction to the master wireless access point so as to update the wireless configuration version of the master wireless access point to the target configuration version, and sending the target configuration version to the at least one slave wireless access point.
In a third aspect, an embodiment of the present invention provides a computer device, where the computer device includes a processor and a non-volatile memory storing computer instructions, and when the computer instructions are executed by the processor, the computer device executes the method for intelligent management of a wireless access point according to the first aspect.
In a fourth aspect, an embodiment of the present invention provides a readable storage medium, where the readable storage medium includes a computer program, and the computer program controls, when running, a computer device where the readable storage medium is located to execute the method for intelligent management of a wireless access point according to the first aspect.
Compared with the prior art, the beneficial effects provided by the invention comprise: by adopting the intelligent management method, the intelligent management device and the readable storage medium for the wireless access points, which are provided by the embodiment of the invention, the wireless configuration version of the master wireless access point and the wireless configuration version of the at least one slave wireless access point are obtained; determining a target wireless access point corresponding to the wireless configuration version with the highest version from the wireless configuration version of the master wireless access point and the wireless configuration version of the at least one slave wireless access point; then sending the target configuration version of the target wireless access point to the main wireless access point; and finally, an updating instruction is sent to the main wireless access point so that the wireless configuration version of the main wireless access point is updated to the target configuration version, and the target configuration version is issued to the at least one slave wireless access point, so that the management of the wireless access points can be conveniently realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments will be briefly described below. It is appreciated that the following drawings depict only certain embodiments of the invention and are therefore not to be considered limiting of its scope. For a person skilled in the art, it is possible to derive other relevant figures from these figures without inventive effort.
Fig. 1 is an interaction diagram of an intelligent management system for a wireless access point according to an embodiment of the present invention;
fig. 2 is a schematic flowchart illustrating steps of a method for intelligent management of a wireless access point according to an embodiment of the present invention;
fig. 3 is a schematic block diagram of a structure of an intelligent management apparatus for a wireless access point according to an embodiment of the present invention;
fig. 4 is a block diagram schematically illustrating a structure of a computer device 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. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the 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.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Furthermore, the terms "first," "second," and the like are used merely to distinguish one description from another, and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is also to be noted that, unless otherwise explicitly stated or limited, the terms "disposed" and "connected" are to be interpreted broadly, and for example, "connected" may be a fixed connection, a detachable connection, or an integral connection; can be mechanically or electrically connected; the connection may be direct or indirect via an intermediate medium, and may be a communication between the two elements. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
The following detailed description of embodiments of the invention refers to the accompanying drawings.
Fig. 1 is an interaction diagram of a wireless access point intelligent management system according to an embodiment of the present invention. The wireless access point intelligent management system may include a computer device 100 and a master wireless access point 200 and at least one slave wireless access point 300 communicatively coupled to the computer device 100. The wireless access point intelligent management system shown in fig. 1 is only one possible example, and in other possible embodiments, the wireless access point intelligent management system may include only one of the components shown in fig. 1 or may also include other components.
The computer device 100 may include a mobile device, a tablet computer, a laptop computer, etc., or any combination thereof. In some embodiments, the mobile device may include a smart home device, a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, or the like, or any combination thereof. In some embodiments, the smart home devices may include control devices of smart electrical devices, smart monitoring devices, smart televisions, smart cameras, and the like, or any combination thereof. In some embodiments, the wearable device may include a smart bracelet, a smart lace, smart glass, a smart helmet, a smart watch, a smart garment, a smart backpack, a smart accessory, or the like, or any combination thereof. In some embodiments, the smart mobile device may include a smartphone, a personal digital assistant, a gaming device, and the like, or any combination thereof. In some embodiments, the virtual reality device and/or the augmented reality device may include a virtual reality helmet, virtual reality glass, a virtual reality patch, an augmented reality helmet, augmented reality glass, an augmented reality patch, or the like, or any combination thereof. For example, the virtual reality device and/or augmented reality device may include various virtual reality products and the like.
In this embodiment, the computer device 100, the master wireless access point 200 and the at least one slave wireless access point 300 in the wireless access point intelligent management system can cooperatively perform the wireless access point intelligent management method described in the following method embodiments, and the following detailed description of the method embodiments can be referred to for the specific steps performed by the computer device 100, the master wireless access point 200 and the at least one slave wireless access point 300.
Step 201, a wireless configuration version of the master wireless access point 200 and a wireless configuration version of at least one slave wireless access point 300 are obtained.
Step 202, determining a target wireless access point corresponding to the wireless configuration version with the highest version from the wireless configuration version of the master wireless access point 200 and the wireless configuration version of at least one slave wireless access point 300.
Step 203, the target configuration version of the target wireless access point is sent to the master wireless access point 200.
Step 204, sending an update instruction to the master wireless access point 200, so that the wireless configuration version of the master wireless access point 200 is updated to the target configuration version, and the target configuration version is issued to at least one slave wireless access point 300.
In the embodiment of the present invention, the wireless configuration versions of the master wireless access point 200 and all the slave wireless access points 300 may be obtained, and it should be understood that the higher the wireless configuration version, the better the version, the newer the better. A corresponding wireless access point with the highest wireless configuration version may be selected from the wireless configuration versions of the master wireless access point 200 and all the slave wireless access points 300 as a target wireless access point, and the wireless configuration version with the highest version owned by the target wireless access point is used as a target configuration version. The target configuration version can be acquired and then sent to the master wireless access point 200, and then an update instruction can be sent to the master wireless access point 200 so that the wireless configuration version of the master wireless access point 200 is updated to the target configuration version, and the target configuration version is issued to all the slave wireless access points 300, so that the purpose of unifying all the wireless access points in the network to the target configuration version is achieved. It should be understood that, if the master wireless access point 200 and all the slave wireless access points 300 select a corresponding wireless access point with the highest wireless configuration version as the master wireless access point 200, the update instruction may be directly sent to the master wireless access point 200, and the master wireless access point 200 directly sends the target configuration version to all the slave wireless access points 300.
Through the steps, the wireless configuration versions of all the wireless access points in the whole network can be unified to the latest target wireless configuration version without excessive manual intervention, and the management of the wireless access points is conveniently realized.
On the basis of the foregoing, the computer device 100 is further communicatively connected to the configuration version pool, and before step 201, the following steps are further provided by the embodiment of the present invention.
Step 205, after the networking of the at least one slave wireless access point 300 is successful, sending a packaging instruction to the at least one slave wireless access point 300, so that the device information of the at least one slave wireless access point 300 is packaged into a registration data packet, and sending the registration data packet to the configuration version pool, where the registration data packet includes the wireless configuration version of the at least one slave wireless access point 300.
The number of the slave wireless access points 300 may be multiple, and in order to improve the collection of the wireless configuration versions of the slave wireless access points 300, a packaging instruction may be sent to the slave wireless access points 300 so that the device information of the slave wireless access points 300 is packaged into a registration packet and sent to the configuration version pool, from which the collection may be performed for subsequent extraction.
On this basis, step 201 can be embodied in the following manner.
Substep 201-1, obtaining a wireless configuration version of the master wireless access point 200 and obtaining a wireless configuration version of at least one slave wireless access point 300 from a pool of configuration versions.
On the basis of the foregoing, the highest wireless configuration version can be selected from the wireless configuration version pool in which all the slave wireless access points 300 are collected, and then compared with the wireless configuration version of the master wireless access point 200, so as to improve the comparison efficiency.
On the basis of the foregoing, an example of detecting whether the slave wireless access point 300 maintains the communication connection with the master wireless access point 200 may be implemented by the following steps.
Step 301, a plurality of wireless communication requests with a time sequence relation are collected according to a preset time interval, and the wireless communication requests are requests for detecting a communication state sent from the wireless access point 300 to the master wireless access point 200.
Step 302, according to the preset detection identification information in the reference wireless communication request, determining the detection identification information to be determined from each wireless communication request respectively, so as to obtain the detection identification information to be determined of each wireless communication request.
The preset detection identification information includes a local area network address format and a slave wireless access point 300 tag.
Step 303, processing the detection characteristic value of each piece of detection identification information to be determined to obtain the processed detection identification information to be determined.
Step 304, normalization processing is carried out on the detection characteristic value of the detection identification information to be determined after processing, and a preprocessing detection characteristic value of each wireless communication request is obtained.
And 305, respectively performing feature extraction on each pre-processing detection feature value by adopting a preset feature extraction network model to obtain the detection feature of each wireless communication request.
And step 306, adopting a pre-trained time sequence characteristic processing network model to extract the time sequence characteristics of the detection characteristics of each wireless communication request to obtain the target time sequence characteristics.
And 307, classifying the target time sequence characteristics by adopting a preset classification network model to obtain a wireless communication state detection result.
And 308, when the wireless communication state detection result is abnormal, selecting a target wireless communication request from the plurality of wireless communication requests, importing a communication state detection model pre-trained by the wireless communication key feature detection model, and performing abnormal request detection on the target wireless communication request by adopting the communication state detection model pre-trained by the wireless communication key feature detection model.
The communication state detection model trained in advance by the wireless communication key feature detection model is formed by training a plurality of preset sample abnormal request data sets marked with abnormal requests.
Step 309, if an abnormal request is detected, the abnormal request is screened to obtain a request source identifier.
Step 310, determining the abnormal slave wireless access point 300 from the request source identifier, and processing the abnormal slave wireless access point 300 to obtain the initialized slave wireless access point 300.
Step 311, performing identifier extraction on the initialization from the wireless access point 300 to obtain a wireless network identifier to be identified, and importing the wireless network identifier to be identified into a pre-trained network identifier classification model.
And step 312, classifying the wireless network identifier to be recognized by adopting a pre-trained network identifier classification model.
The pre-trained network identification classification model is formed by training a plurality of sample wireless network identifications marked with wireless network identification analysis results.
Step 313, obtaining a communication unconnected probability corresponding to the wireless network identifier to be identified, the classification result of which is abnormal, from the output result of the communication state detection model pre-trained by the wireless communication key feature detection model, and determining the wireless network identifier to be identified, the communication unconnected probability of which is higher than a preset threshold value, as the abnormal wireless network identifier.
And step 314, detecting an abnormal wireless network request from the target wireless communication request, and identifying the type of the abnormal wireless network request to obtain an identification result of the abnormal wireless network request.
Step 315, determining whether the slave wireless access point 300 is in communication connection with the master wireless access point 200 according to the abnormal wireless network identification and the identification result.
Through the steps, whether the communication connection between the master wireless access point 200 and the slave wireless entry point is normally maintained can be accurately distinguished, so that the wireless configuration version is further ensured not to generate errors in updating, and the wireless access points in the whole network can be ensured to be updated smoothly.
On the basis of the above, with respect to step 308, the embodiments of the present invention provide the following specific implementation to complete the scheme.
And step 316, when the wireless communication state detection result is normal, detecting an abnormal wireless network request from the target wireless communication request, and identifying the type of the abnormal wireless network request to obtain the type of the abnormal wireless network request.
As an alternative embodiment, the foregoing step 314 may be implemented by the following steps.
(1) And performing key feature detection on the target wireless communication request by adopting a preset wireless communication key feature detection model to obtain at least one abnormal wireless network request.
The wireless communication key feature detection model is formed by training a plurality of preset sample abnormal request data sets marked with key features.
On the basis of the foregoing, the embodiments of the present invention also provide the following solutions.
And 317, marking the source and the type of the abnormal wireless network request on the target wireless communication request according to the identification result.
For the above step 317, the following steps are provided for the embodiment of the present invention.
And a substep 317-1 of determining the type of the abnormal wireless network request according to the identification result and acquiring the transmission of the abnormal wireless network request.
And a substep 317-2, labeling the source of the abnormal wireless network request on the target wireless communication request according to the transmission code, and labeling the type of the abnormal wireless network request on the source.
For step 317-1 above, embodiments of the present invention provide the following steps to be performed in detail.
(1) And determining the type and the confidence of the type of each recognition frame in a preset range in the abnormal wireless network request according to the recognition result.
(2) And calculating the confidence coefficient of the type of each recognition frame in the preset range to obtain the confidence coefficient of the preset range.
(3) And selecting the type of the preset range with the maximum confidence coefficient as the type of the abnormal wireless network request.
The embodiment of the present invention provides an intelligent management apparatus 110 for wireless access points, which is applied to a computer device 100, wherein the computer device 100 is in communication connection with a plurality of wireless access points, the plurality of wireless access points include a master wireless access point 200 and at least one slave wireless access point 300, and the master wireless access point 200 is in communication connection with the at least one slave wireless access point 300, and the apparatus includes:
an obtaining module 1101, configured to obtain a wireless configuration version of the master wireless access point 200 and a wireless configuration version of at least one slave wireless access point 300.
A determining module 1102, configured to determine, from the wireless configuration version of the master wireless access point 200 and the wireless configuration version of the at least one slave wireless access point 300, a target wireless access point corresponding to a wireless configuration version with a highest version.
A sending module 1103, configured to send the target configuration version of the target wireless access point to the master wireless access point 200; sending an update instruction to the master wireless access point 200 to update the wireless configuration version of the master wireless access point 200 to the target configuration version, and sending the target configuration version to at least one slave wireless access point 300.
Further, the computer device 100 is further communicatively connected to the configuration version pool, and the sending module 1103 is specifically configured to:
and when the networking of the at least one slave wireless access point 300 is successful, sending a packaging instruction to the at least one slave wireless access point 300 so as to package the device information of the at least one slave wireless access point 300 into a registration data packet, and sending the registration data packet to the configuration version pool, wherein the registration data packet comprises the wireless configuration version of the at least one slave wireless access point 300.
The obtaining module 1101 is specifically configured to:
the wireless configuration version of the master wireless access point 200 is obtained, and the wireless configuration version of at least one slave wireless access point 300 is obtained from the configuration version pool.
Further, the determining module 1102 is further configured to:
acquiring a plurality of wireless communication requests with a time sequence relation according to a preset time interval, wherein the wireless communication requests are requests for detecting a communication state, which are sent from the wireless access point 300 to the main wireless access point 200; respectively determining detection identification information to be determined from each wireless communication request according to preset detection identification information in the reference wireless communication request to obtain the detection identification information to be determined of each wireless communication request, wherein the preset detection identification information comprises a local area network address format and a slave wireless access point 300 label; processing the detection characteristic value of each piece of detection identification information to be determined to obtain the processed detection identification information to be determined; carrying out normalization processing on the detection characteristic values of the detection identification information to be determined after processing to obtain the preprocessing detection characteristic values of each wireless communication request; respectively extracting the characteristics of each preprocessing detection characteristic value by adopting a preset characteristic extraction network model to obtain the detection characteristics of each wireless communication request; adopting a pre-trained time sequence characteristic processing network model to extract the time sequence characteristics of the detection characteristics of each wireless communication request to obtain target time sequence characteristics; classifying the target time sequence characteristics by adopting a preset classification network model to obtain a wireless communication state detection result; when the wireless communication state detection result is abnormal, selecting a target wireless communication request from a plurality of wireless communication requests, importing the target wireless communication request into a communication state detection model pre-trained by a wireless communication key feature detection model, and performing abnormal request detection on the target wireless communication request by adopting the communication state detection model pre-trained by the wireless communication key feature detection model, wherein the communication state detection model pre-trained by the wireless communication key feature detection model is formed by training a plurality of preset sample abnormal request data sets marked with abnormal requests; if the abnormal request is detected, screening the abnormal request to obtain a request source identifier; determining an abnormal slave wireless access point 300 from the request source identification, and processing the abnormal slave wireless access point 300 to obtain an initialized slave wireless access point 300; extracting identification from the wireless access point 300 for initialization to obtain a wireless network identification to be identified, and importing the wireless network identification to be identified into a pre-trained network identification classification model; classifying the wireless network identification to be recognized by adopting a pre-trained network identification classification model, wherein the pre-trained network identification classification model is formed by training a plurality of sample wireless network identifications marked with wireless network identification analysis results; acquiring a communication unconnected probability corresponding to the wireless network identifier to be identified with the abnormal classification result from an output result of a communication state detection model pre-trained by the wireless communication key feature detection model, and determining the wireless network identifier to be identified with the communication unconnected probability higher than a preset threshold as the abnormal wireless network identifier; detecting an abnormal wireless network request from the target wireless communication request, and identifying the type of the abnormal wireless network request to obtain an identification result of the abnormal wireless network request; and determining whether the slave wireless access point 300 is in communication connection with the master wireless access point 200 according to the abnormal wireless network identification and the identification result.
Further, the determining module 1102 is further configured to:
and when the wireless communication state detection result is normal, detecting an abnormal wireless network request from the target wireless communication request, and identifying the type of the abnormal wireless network request to obtain the type of the abnormal wireless network request.
Further, the determining module 1102 is specifically configured to:
and performing key feature detection on the target wireless communication request by adopting a preset wireless communication key feature detection model to obtain at least one abnormal wireless network request, wherein the wireless communication key feature detection model is formed by training a plurality of preset sample abnormal request data sets marked with key features.
Further, the determining module 1102 is specifically configured to:
and marking the source and the type of the abnormal wireless network request on the target wireless communication request according to the identification result.
Further, the determining module 1102 is specifically configured to:
determining the type of the abnormal wireless network request according to the identification result, and acquiring a transmission code of the abnormal wireless network request; and marking the source of the abnormal wireless network request on the target wireless communication request according to the transmission code, and marking the type of the abnormal wireless network request on the source.
It should be noted that, for the implementation principle of the foregoing wireless access point intelligent management apparatus 110, reference may be made to the implementation principle of the foregoing bridge device management method, which is not described herein again, and it should be understood that the division of each module of the foregoing apparatus is only a division of a logic function, and all or part of the division may be integrated on a physical entity during actual implementation, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the obtaining module 1101 may be a processing element separately set up, or may be implemented by being integrated into a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the processing element of the apparatus calls and executes the functions of the obtaining module 1101. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when some of the above modules are implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can call program code. As another example, these modules may be integrated together, implemented in the form of a system-on-a-chip (SOC).
The embodiment of the present invention provides a computer device 100, where the computer device 100 includes a processor and a non-volatile memory storing computer instructions, and when the computer instructions are executed by the processor, the computer device 100 performs the aforementioned wireless access point intelligent management method. As shown in fig. 4, fig. 4 is a block diagram of a computer device 100 according to an embodiment of the present invention. The computer apparatus 100 includes a wireless access point intelligent management device 110, a memory 111, a processor 112, and a communication unit 113.
To facilitate the transfer or interaction of data, the elements of the memory 111, the processor 112 and the communication unit 113 are electrically connected to each other, directly or indirectly. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The wireless access point intelligent management apparatus 110 includes at least one software function module which can be stored in the memory 111 in the form of software or firmware (firmware) or solidified in an Operating System (OS) of the computer device 100. The processor 112 is used for executing executable modules stored in the memory 111, such as software functional modules and computer programs included in the wireless access point intelligent management device 110.
The embodiment of the invention provides a readable storage medium, which comprises a computer program, and when the computer program runs, the computer device where the readable storage medium is located is controlled to execute the aforementioned wireless access point intelligent management method.
In summary, embodiments of the present invention provide a method, an apparatus, and a readable storage medium for intelligent management of a wireless access point, where a wireless configuration version of a master wireless access point and a wireless configuration version of at least one slave wireless access point are obtained; determining a target wireless access point corresponding to the wireless configuration version with the highest version from the wireless configuration version of the master wireless access point and the wireless configuration version of the at least one slave wireless access point; then sending the target configuration version of the target wireless access point to the main wireless access point; and finally, an updating instruction is sent to the main wireless access point so that the wireless configuration version of the main wireless access point is updated to the target configuration version, and the target configuration version is issued to the at least one slave wireless access point, so that the management of the wireless access points can be conveniently realized.
The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the disclosure to the precise forms disclosed. Many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the disclosure and its practical applications, to thereby enable others skilled in the art to best utilize the disclosure and various embodiments with various modifications as are suited to the particular use contemplated. The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the disclosure to the precise forms disclosed. Many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the disclosure and its practical applications, to thereby enable others skilled in the art to best utilize the disclosure and various embodiments with various modifications as are suited to the particular use contemplated.

Claims (9)

1. A wireless access point intelligent management method is applied to a computer device, the computer device is in communication connection with a plurality of wireless access points, the plurality of wireless access points comprise a master wireless access point and at least one slave wireless access point, and the master wireless access point and the at least one slave wireless access point are in communication connection, the method comprises the following steps:
acquiring a wireless configuration version of the master wireless access point and a wireless configuration version of the at least one slave wireless access point;
determining a target wireless access point corresponding to the wireless configuration version with the highest version from the wireless configuration version of the master wireless access point and the wireless configuration version of the at least one slave wireless access point;
sending a target configuration version of the target wireless access point to the master wireless access point;
sending an update instruction to the master wireless access point so as to update the wireless configuration version of the master wireless access point to the target configuration version, and sending the target configuration version to the at least one slave wireless access point;
the method further includes the step of detecting whether the slave wireless access point is communicatively coupled to the master wireless access point, the step comprising:
acquiring a plurality of wireless communication requests with a time sequence relation according to a preset time interval, wherein the wireless communication requests are requests for detecting a communication state, which are sent from a slave wireless access point to a master wireless access point;
respectively determining detection identification information to be determined from each wireless communication request according to preset detection identification information in the reference wireless communication request to obtain the detection identification information to be determined of each wireless communication request, wherein the preset detection identification information comprises a local area network address format and a slave wireless access point label;
processing the detection characteristic value of each piece of detection identification information to be determined to obtain the processed detection identification information to be determined;
carrying out normalization processing on the detection characteristic values of the detection identification information to be determined after processing to obtain the preprocessing detection characteristic values of each wireless communication request;
respectively extracting the characteristics of each preprocessing detection characteristic value by adopting a preset characteristic extraction network model to obtain the detection characteristics of each wireless communication request;
adopting a pre-trained time sequence characteristic processing network model to extract the time sequence characteristics of the detection characteristics of each wireless communication request to obtain target time sequence characteristics;
classifying the target time sequence characteristics by adopting a preset classification network model to obtain a wireless communication state detection result;
when the wireless communication state detection result is abnormal, selecting a target wireless communication request from a plurality of wireless communication requests, importing the target wireless communication request into a communication state detection model pre-trained by a wireless communication key feature detection model, and performing abnormal request detection on the target wireless communication request by adopting the communication state detection model pre-trained by the wireless communication key feature detection model, wherein the communication state detection model pre-trained by the wireless communication key feature detection model is formed by training a plurality of preset sample abnormal request data sets marked with abnormal requests;
if the abnormal request is detected, screening the abnormal request to obtain a request source identifier;
determining an abnormal slave wireless access point from the request source identifier, and processing the abnormal slave wireless access point to obtain an initialized slave wireless access point;
performing identification extraction on the initialized wireless access point to obtain a wireless network identification to be identified, and importing the wireless network identification to be identified into a pre-trained network identification classification model;
classifying the wireless network identification to be recognized by adopting a pre-trained network identification classification model, wherein the pre-trained network identification classification model is formed by training a plurality of sample wireless network identifications marked with wireless network identification analysis results;
acquiring a communication unconnected probability corresponding to the wireless network identifier to be identified with the abnormal classification result from an output result of a communication state detection model pre-trained by the wireless communication key feature detection model, and determining the wireless network identifier to be identified with the communication unconnected probability higher than a preset threshold as the abnormal wireless network identifier;
detecting an abnormal wireless network request from the target wireless communication request, and identifying the type of the abnormal wireless network request to obtain an identification result of the abnormal wireless network request;
and determining whether the slave wireless access point is in communication connection with the master wireless access point or not according to the abnormal wireless network identification and the identification result.
2. The method of claim 1, wherein the computer device is further communicatively coupled to a pool of configuration versions, and wherein the step of obtaining the wireless configuration version of the master wireless access point and the wireless configuration version of the at least one slave wireless access point is preceded by the method comprising:
when the networking of the at least one slave wireless access point is successful, sending a packaging instruction to the at least one slave wireless access point so as to package the equipment information of the at least one slave wireless access point into a registration data packet, and sending the registration data packet to the configuration version pool, wherein the registration data packet comprises the wireless configuration version of the at least one slave wireless access point;
the obtaining the wireless configuration version of the master wireless access point and the wireless configuration version of the at least one slave wireless access point includes:
and acquiring the wireless configuration version of the master wireless access point, and acquiring the wireless configuration version of the at least one slave wireless access point from the configuration version pool.
3. The method of claim 1, further comprising:
and when the wireless communication state detection result is normal, detecting an abnormal wireless network request from the target wireless communication request, and identifying the type of the abnormal wireless network request to obtain the type of the abnormal wireless network request.
4. The method of claim 1, wherein detecting an abnormal wireless network request from the target wireless communication request comprises:
and performing key feature detection on the target wireless communication request by adopting a preset wireless communication key feature detection model to obtain at least one abnormal wireless network request, wherein the wireless communication key feature detection model is formed by training a plurality of preset sample abnormal request data sets marked with key features.
5. The method of claim 1, further comprising:
and marking the source and the type of the abnormal wireless network request on the target wireless communication request according to the identification result.
6. The method of claim 5, wherein the tagging the source and type of the abnormal wireless network request on the target wireless communication request according to the identification result comprises:
determining the type of the abnormal wireless network request according to the identification result, and acquiring a transmission code of the abnormal wireless network request;
and marking the source of the abnormal wireless network request on the target wireless communication request according to the transmission code, and marking the type of the abnormal wireless network request on the source.
7. An apparatus for intelligent management of wireless access points, the apparatus being applied to a computer device, the computer device being communicatively connected to a plurality of wireless access points, the plurality of wireless access points including a master wireless access point and at least one slave wireless access point, the master wireless access point and the at least one slave wireless access point being communicatively connected, the apparatus comprising:
an obtaining module, configured to obtain a wireless configuration version of the master wireless access point and a wireless configuration version of the at least one slave wireless access point;
a determining module, configured to determine, from the wireless configuration version of the master wireless access point and the wireless configuration version of the at least one slave wireless access point, a target wireless access point corresponding to a wireless configuration version with a highest version;
a sending module, configured to send a target configuration version of the target wireless access point to the master wireless access point; sending an update instruction to the master wireless access point so as to update the wireless configuration version of the master wireless access point to the target configuration version, and sending the target configuration version to the at least one slave wireless access point;
the determination module is further to:
acquiring a plurality of wireless communication requests with a time sequence relation according to a preset time interval, wherein the wireless communication requests are requests for detecting a communication state, which are sent from a slave wireless access point to a master wireless access point; respectively determining detection identification information to be determined from each wireless communication request according to preset detection identification information in the reference wireless communication request to obtain the detection identification information to be determined of each wireless communication request, wherein the preset detection identification information comprises a local area network address format and a slave wireless access point label; processing the detection characteristic value of each piece of detection identification information to be determined to obtain the processed detection identification information to be determined; carrying out normalization processing on the detection characteristic values of the detection identification information to be determined after processing to obtain the preprocessing detection characteristic values of each wireless communication request;
respectively extracting the characteristics of each preprocessing detection characteristic value by adopting a preset characteristic extraction network model to obtain the detection characteristics of each wireless communication request; adopting a pre-trained time sequence characteristic processing network model to extract the time sequence characteristics of the detection characteristics of each wireless communication request to obtain target time sequence characteristics; classifying the target time sequence characteristics by adopting a preset classification network model to obtain a wireless communication state detection result; when the wireless communication state detection result is abnormal, selecting a target wireless communication request from a plurality of wireless communication requests, importing the target wireless communication request into a communication state detection model pre-trained by a wireless communication key feature detection model, and performing abnormal request detection on the target wireless communication request by adopting the communication state detection model pre-trained by the wireless communication key feature detection model, wherein the communication state detection model pre-trained by the wireless communication key feature detection model is formed by training a plurality of preset sample abnormal request data sets marked with abnormal requests; if the abnormal request is detected, screening the abnormal request to obtain a request source identifier; determining an abnormal slave wireless access point from the request source identifier, and processing the abnormal slave wireless access point to obtain an initialized slave wireless access point; performing identification extraction on the initialized wireless access point to obtain a wireless network identification to be identified, and importing the wireless network identification to be identified into a pre-trained network identification classification model; classifying the wireless network identification to be recognized by adopting a pre-trained network identification classification model, wherein the pre-trained network identification classification model is formed by training a plurality of sample wireless network identifications marked with wireless network identification analysis results; acquiring a communication unconnected probability corresponding to the wireless network identifier to be identified with the abnormal classification result from an output result of a communication state detection model pre-trained by the wireless communication key feature detection model, and determining the wireless network identifier to be identified with the communication unconnected probability higher than a preset threshold as the abnormal wireless network identifier; detecting an abnormal wireless network request from the target wireless communication request, and identifying the type of the abnormal wireless network request to obtain an identification result of the abnormal wireless network request; and determining whether the slave wireless access point is in communication connection with the master wireless access point or not according to the abnormal wireless network identification and the identification result.
8. A computer device comprising a processor and a non-volatile memory having computer instructions stored thereon, wherein when the computer instructions are executed by the processor, the computer device performs the wireless access point intelligent management method of any one of claims 1-6.
9. A readable storage medium, comprising a computer program, which when executed controls a computer device on which the readable storage medium is located to perform the method for intelligent management of wireless access points according to any one of claims 1 to 6.
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