CN111447656B - Method and device for intelligently switching dial-up networking - Google Patents
Method and device for intelligently switching dial-up networking Download PDFInfo
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- CN111447656B CN111447656B CN202010239728.5A CN202010239728A CN111447656B CN 111447656 B CN111447656 B CN 111447656B CN 202010239728 A CN202010239728 A CN 202010239728A CN 111447656 B CN111447656 B CN 111447656B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/34—Reselection control
- H04W36/36—Reselection control by user or terminal equipment
- H04W36/365—Reselection control by user or terminal equipment by manual user interaction
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Abstract
The invention discloses a method for intelligently switching dial-up networking, which is applied to terminal equipment, wherein the terminal equipment is provided with a communication module and comprises the following steps: the terminal equipment judges the application scene; the terminal equipment sends an AT instruction to a communication module to switch a dial-up networking mode based on different application scenes; and after receiving the AT instruction, the communication module switches a dial-up networking mode.
Description
Technical Field
The invention relates to the field of communication, in particular to a method and a device for intelligently switching dial-up networking.
Background
The communication module is usually embedded into CPE, mifi, terminal equipment such as shared massage armchair, unmanned vending machine, on-vehicle system, equipment monitoring, equipment transmission thing networking, study panel computer. For equipment with an operation interface and key management, a user usually selects free control dial-up networking; and for the application scenes of unmanned management, data transmission and data acquisition, the automatic detection internet surfing is favored. Due to different dial-up networking modes of the communication module by the terminal equipment in different application scenes, the same communication module cannot be adapted to the terminal equipment in different scenes.
Disclosure of Invention
The invention aims to provide a method and a device for intelligently switching dial-up networking, which solve the problem that the dial-up networking mode cannot be intelligently selected according to application scenes in the prior art.
The embodiment of the invention provides a method for intelligently switching dial-up networking, which is applied to terminal equipment, wherein the terminal equipment is provided with a communication module and comprises the following steps:
the terminal equipment judges the application scene;
the terminal equipment sends an AT instruction to a communication module to switch a dial-up networking mode based on different application scenes;
and after receiving the AT instruction, the communication module switches a dial-up networking mode.
Optionally, the determining, by the terminal device, an application scenario includes:
the terminal equipment receives an operation instruction of a user, judges that the current scene is a manual dial-up networking scene, or,
and after the terminal equipment is configured as wireless CPE routing equipment or security monitoring equipment, judging that the current scene is an automatic dial-up networking scene.
Optionally, the determining, by the terminal device, a current application scenario includes:
and the terminal equipment judges the application scene through a machine learning algorithm.
Optionally, the determining, by the terminal device, the application scenario through a machine learning algorithm includes:
the terminal equipment acquires all user operation instructions, all configuration instructions, corresponding time and geographic information in a period of time;
and the terminal equipment predicts the scene of the terminal equipment through a machine learning algorithm based on the acquired information.
Optionally, the predicting, by the terminal device, a scene where the terminal device is located through a machine learning algorithm based on the collected information includes:
the information is used as tensor data and input to a scene prediction model by adopting a single-node nonlinear regression algorithm to prejudge the scene, wherein the user operation instruction comprises operation instruction content, operation time and operation frequency information, the configuration information comprises configuration content, configuration time and configuration frequency information, and the scene prediction model is obtained by performing model training on historical user operation instructions and historical configuration information.
Optionally, the determining, by the terminal device, the application scenario through a machine learning algorithm includes:
the terminal equipment acquires an image in a current scene;
and the terminal equipment processes the image based on a convolutional network and judges the application scene.
Optionally, the processing, by the terminal device, the image based on a convolutional network, and determining the application scene includes:
extracting scene convolution characteristics in the image by using a scene convolution network;
calculating a scene output vector of the image according to the scene convolution characteristics by using a scene recursive network;
and weighting the scene output vectors according to preset weights, comparing the weighted results, and determining the application scene where the terminal equipment is located as the preset application scene if the conditions corresponding to one of the preset application scenes are met.
Optionally, before sending the AT instruction to the communication module to switch the dial-up networking mode, the method further includes:
and judging whether the current data connection instruction is an instruction for initiatively triggering the switch data for the first time, if so, sending an AT instruction to the communication module to switch a manual dial-up networking mode, and if not, sending the AT instruction to the communication module to activate or close the network.
The embodiment of the invention also provides an intelligent switching dial-up networking device, which comprises a processor and a memory, wherein the memory is used for storing a computer program which can run on the processor; the processor is used for executing the intelligent dial-up switching method when the computer program is run.
Compared with the prior art, the invention has the following beneficial effects: the intelligent degree of dial-up networking is improved, and the flexibility of dial-up networking is improved.
Drawings
Fig. 1 is a flowchart of a method for intelligent dial-up switching in an embodiment of the present invention;
FIG. 2 is a flow chart of a method for intelligent dial-up switching in accordance with another embodiment of the present invention;
fig. 3 is a schematic structural diagram of an intelligent dial-up switching device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the respective embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The dial-up networking of the communication module is usually provided for the terminal equipment in an automatic dial-up or manual dial-up control mode, and because different application scenes have different requirements on the dial-up networking mode, the terminal equipment with the same communication module compatible with different application scenes cannot be met. Therefore, the invention realizes the free switching of the automatic dialing or manual dialing mode of the communication module by setting an AT instruction, and the communication module is controlled by the terminal equipment according to different application scenes, thereby meeting the compatibility of the communication module to the terminal equipment in different application scenes.
To achieve the above object, as shown in fig. 1, an embodiment of the present invention provides a method for intelligently switching dial-up networking, which is applied to a terminal device, where the terminal device includes a communication module, and the method includes:
s101, the terminal equipment judges the application scene;
the terminal equipment can be a personal computer, a mobile terminal, various CPE, interphones, mifi equipment and the like with the communication module function, namely, the equipment with the communication module and the wireless dial-up networking capability can be used as the terminal equipment.
The application scenes can be divided into scenes which need manual control of the terminal to dial up for surfing the internet, such as man-machine interaction, key switches and the like, and can also be divided into scenes which need automatic dial-up for surfing the internet, such as scenes of CPE routing, security monitoring and the like. Specifically, on a terminal device with a display screen, when a pressing instruction operation of a user or a man-machine interaction operation is received, the terminal device performs connection surfing after the user instruction is triggered, namely, surfing the internet through manual connection, and when the terminal device is configured as a CPE route or configured as security monitoring, the terminal device can automatically connect to surf the internet after the terminal device is started.
However, the conventional terminal device does not have an operation of switching the intelligent dial-up networking based on different application scenarios. Based on this, the embodiment of the invention realizes the switching of the dial-up networking mode by judging different application scenes.
S102, the terminal equipment sends an AT instruction to a communication module to switch a dial-up networking mode based on different application scenes;
for the terminal device, the following 3 different ways can be selected for application scenario determination:
1. the method comprises the steps of obtaining a click operation instruction of a user, and judging that a current application scene is a manual dial-up networking mode based on the instruction, wherein for example, when the user clicks the manual dial-up networking operation, the user informs terminal equipment to dial-up networking through operation instructions such as gestures and voice.
2. And acquiring a configuration instruction, for example, setting default automatic dial-up networking of the terminal equipment through a default command, and being suitable for scenes such as CPE routing, security monitoring and the like.
3. Judging whether the action of the switch data is actively triggered for the first time, if so, switching to manual dial-up networking, namely, the terminal equipment sends an AT instruction to the communication module and switching to a manual dial-up networking mode; if not, dial-up networking is automatically carried out, namely, an AT command is automatically sent to activate or close the network.
4. And identifying the scene through artificial intelligence. The determination of the application scenario is performed, for example, by a machine learning algorithm. For example, the terminal device obtains all user operation instructions, all configuration instructions, and corresponding time and geographic information in a period of time, and predicts a scene where the terminal device is located through a machine learning algorithm based on the collected information.
The machine learning algorithm is collected, and specifically may be: the method comprises the steps of inputting all user operation instructions, all configuration instructions and corresponding time and geographic information in a period of time as 4-type tensor data into a scene prediction model by adopting a convolutional neural network and a single-node nonlinear regression algorithm, and prejudging the scene, wherein the user operation instructions comprise operation instruction content, operation time and operation frequency information, the configuration information comprises configuration content, configuration time and configuration frequency information, and the scene prediction model is obtained by performing model training on historical user operation instructions and historical configuration information. Specifically, the scene prediction model utilizes historical collected data, and the relation between the scene prediction value and the multivariate is calculated through a training learning algorithm, so that a network model is trained. This has the advantage that the terminal device can be presumed to be in a scene requiring manual switching at 10 o' clock each day by judging the reserved address location (e.g. a shopping mall, an office building) according to the historical operating instructions of the user (e.g. periodically performing human-computer interaction at 10 am and in the reserved geographical area). According to historical configuration information (for example, 22 o 'clock at night, if the home cell is used as a security monitoring terminal, the configuration information is security monitoring information), the 22 o' clock at night can be inferred, and dial-up networking needs to be automatically switched at the home cell terminal.
The terminal equipment inputs the information into a scene prediction model by adopting a convolutional neural network and a nonlinear regression algorithm, and prejudges the scene, wherein the prejudgment specifically comprises the following steps: and then, performing Non-linear Regression (Non-linear Regression) by using the currently acquired data (without labels), calculating the predicted working time of the node, namely inputting the current input parameter x into the training network model Y as f (x), and performing Regression to calculate the predicted scene predicted value Y. For example, the information is composed into a plurality of tensor data, and the data is subjected to feature enhancement sequentially through N convolutional layers (N >1) to perform nonlinear regression. In the embodiment of the present invention, convolution layer 1 may use convolution kernels with a size of 3X3, an input channel of 3, and an output channel of 5, and 0 padding is used during convolution calculation to keep the sizes of input and output data consistent, and the convolution step size is 1. The Non-linear Regression (Non-linear Regression) algorithm belongs to the supervised Regression learning algorithm. The regression algorithm obtains the correlation between the variables and the dependent variables through a learning (training) process by establishing a regression model between the variables. Regression analysis may be used for the predictive model or the classification model. The algorithm is the prior art, and the embodiment of the invention is not described in a repeated manner.
In one embodiment, intelligent judgment of the application scene can be performed in an image analysis mode. For example, if the current image includes stranger information (the intelligent dial-up switching fails), automatic dial-up networking is started, and early warning communication is performed, or if the current scene includes a user (the intelligent dial-up switching succeeds), manual dial-up networking is automatically switched. Specifically, a terminal device with a camera acquires an image in a current scene, processes the image based on a convolutional network, and determines the application scene. For example, the terminal device extracts a scene convolution feature in the image by using a scene convolution network; calculating a scene output vector of the image (a scene state prediction vector output in the scene recursive network) according to the scene convolution characteristics by using a scene recursive network (such as a temporal recursive neural network LSTM); and weighting the scene output vectors according to preset weights, comparing the weighted results, and determining the application scene where the terminal equipment is located as the preset application scene if the conditions (such as one or more of a human-computer interaction scene, an operation button scene, a CPE routing scene and a security monitoring scene) corresponding to one of the preset application scenes are met. Convolutional networks and scene recursive networks are one of the commonly used deep learning algorithms and will not be described here in a reiterated manner.
And S103, after receiving the AT instruction, the communication module switches a dial-up networking mode.
The AT command is a common command between the terminal device and the communication module. Each AT command line contains an AT command, which can receive a width of 1056 characters AT the most. When the communication module receives the AT command, the dial-up networking mode can be switched.
In the embodiment of the invention, the communication module is switched to access the internet by manual or automatic dialing by sending an AT instruction, and the terminal equipment can intelligently select the automatic or manual dialing access mode according to different application scenes. The intelligent selection dial-up networking mode of different terminal equipment is realized, and the adaptation of the communication module and the terminal equipment in different application scenes is effectively solved.
In one embodiment, the communication module can realize that an AT command can freely switch between a manual or automatic dial-up networking mode. AT the moment, the terminal equipment judges the dial-up networking mode according to the self requirement and the application scene, and the terminal equipment sends an AT instruction to the communication module to switch the dial-up networking mode, and the communication module receives the AT instruction request and switches the dial-up networking mode.
In one embodiment, as shown in fig. 2, after the terminal device is powered on, the default setting is an automatic dial-up networking mode, AT this time, the terminal device receives an operation instruction of the switch data, and determines whether to actively trigger the action of the switch data for the first time, and if so, sends an AT instruction to the communication module to switch a manual dial-up networking mode, so as to switch a manual dial-up networking mode. If not, according to the operation instruction, sending an AT instruction to the communication module to activate or close the network.
The embodiment of the application also provides a computer readable storage medium. One or more non-transitory computer-readable storage media containing computer-executable instructions that, when executed by one or more processors, cause the processors to perform the steps of the intelligent dial-up method.
A computer program product containing instructions which, when run on a computer, cause the computer to perform an intelligent handover dial-up method.
Fig. 3 is a schematic structural diagram of a system according to an embodiment of the present invention. The system 200 may include one or more Central Processing Units (CPUs) 210 (e.g., one or more processors) and memory 220, one or more storage media 230 (e.g., one or more mass storage devices) storing applications 232 or data 234. Memory 220 and storage medium 230 may be, among other things, transient or persistent storage. The program stored in the storage medium 230 may include one or more modules (not shown), each of which may include a sequence of instructions operating on the device. Further, the central processor 210 may be configured to communicate with the storage medium 230 to execute a series of instruction operations in the storage medium 230 on the apparatus 200. The system 200 may further include one or more power supplies 240, one or more wired or wireless network interfaces 250, and one or more input/output interfaces 260, and the steps performed by the above-described method embodiments may be based on the system architecture shown in fig. 2.
It should be understood that, in the various embodiments of the present application, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the inherent logic thereof, and should not constitute any limitation to the implementation process of the embodiments of the present application.
Those of ordinary skill in the art will appreciate that the various illustrative modules and method steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application. It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the apparatus and the module described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
All parts of this specification are described in a progressive manner, and like parts of the various embodiments can be referred to one another, with emphasis on each embodiment being placed on differences from other embodiments. In particular, as to the apparatus and system embodiments, since they are substantially similar to the method embodiments, the description is relatively simple and reference may be made to the description of the method embodiments in relevant places.
Finally, it is to be noted that: the above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. To the extent that such modifications and variations of the present application fall within the scope of the claims and their equivalents, they are intended to be included within the scope of the present application. .
Claims (7)
1. The utility model provides a method of intelligence switching dial-up networking, is applied to terminal equipment, terminal equipment possesses communication module, its characterized in that includes:
the terminal equipment judges the application scene; the application scenes comprise scenes in which the terminal needs to be manually controlled to dial up and surf the internet and scenes in which the terminal needs to be automatically dialed up and surf the internet; the terminal equipment receives an operation instruction of a user and judges that the current scene is a manual dial-up networking scene, or after the terminal equipment is configured to be wireless CPE routing equipment or security monitoring equipment, the current scene is judged to be an automatic dial-up networking scene;
the terminal equipment sends an AT instruction to a communication module to switch a dial-up networking mode based on different application scenes; judging whether a current data connection instruction is an instruction for initiatively triggering switch data for the first time, if so, sending an AT instruction to the communication module to switch a manual dial-up networking mode, and if not, sending the AT instruction to the communication module to activate or close a network;
and after receiving the AT instruction, the communication module switches a dial-up networking mode.
2. The method of claim 1, wherein the determining, by the terminal device, the current application scenario comprises:
and the terminal equipment judges the application scene through a machine learning algorithm.
3. The method according to claim 2, wherein the terminal device performs the determination of the application scenario through a machine learning algorithm, including:
the terminal equipment acquires all user operation instructions, all configuration instructions, corresponding time and geographic information in a period of time;
and the terminal equipment predicts the scene of the terminal equipment through a machine learning algorithm based on the acquired information.
4. The method according to claim 3, wherein the predicting, by the terminal device, the scene where the terminal device is located through a machine learning algorithm based on the obtained information comprises:
and adopting a single-node nonlinear regression algorithm, inputting the information serving as tensor data into a scene prediction model, and prejudging the scene, wherein the user operation instruction comprises operation instruction content, operation time and operation frequency information, the configuration instruction comprises configuration content, configuration time and configuration frequency information, and the scene prediction model is obtained by performing model training on historical user operation instructions and historical configuration information.
5. The method according to claim 2, wherein the terminal device performs the determination of the application scenario through a machine learning algorithm, including:
the terminal equipment acquires an image in a current scene;
and the terminal equipment processes the image based on a convolutional network and judges the application scene.
6. The method according to claim 5, wherein the processing the image by the terminal device based on a convolutional network to determine the application scene comprises:
extracting scene convolution characteristics in the image by using a scene convolution network;
calculating a scene output vector of the image according to the scene convolution characteristics by using a scene recursive network;
and weighting the scene output vectors according to preset weights, comparing the weighted results, and determining the application scene where the terminal equipment is located as the preset application scene if the conditions corresponding to one of the preset application scenes are met.
7. An intelligent dial-up switch device, comprising a processor and a memory for storing a computer program capable of running on the processor; wherein, the processor is used for executing the method of intelligent dial-up switching according to any one of claims 1 to 6 when running the computer program.
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| CN103491224A (en) * | 2012-06-13 | 2014-01-01 | 华为终端有限公司 | Method and device for switching over dialing mode |
| CN103493550B (en) * | 2012-06-25 | 2017-08-11 | 华为终端有限公司 | A kind of method and Wi Fi equipment of setting communication pattern |
| CN106941678A (en) * | 2016-01-04 | 2017-07-11 | 希姆通信息技术（上海）有限公司 | The intelligent switch method and system of MiFi online patterns |
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| CN105451283A (en) * | 2012-03-23 | 2016-03-30 | 青岛海信移动通信技术股份有限公司 | Method, device and terminal for switching network access points |
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