CN112799981A - Data transmission control method, function machine and related product - Google Patents
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Abstract
The embodiment of the application discloses a data transmission control method, a function machine and related products, which are applied to the function machine, wherein the method comprises the following steps: after the function machine is connected with the electronic equipment through the USB interface, target data are obtained; determining target attribute information corresponding to the target data; determining a target interface identifier corresponding to the target attribute information according to a preset mapping relation between the attribute information and the interface identifier; and transmitting the target data through a target virtual interface corresponding to the target interface identifier, wherein the function machine comprises M virtual interfaces, the target virtual interface is at least one virtual interface in the M virtual interfaces, and M is an integer greater than 1. By adopting the embodiment of the application, the data transmission efficiency of the function machine can be improved.
Description
Technical Field
The present application relates to the field of electronic technologies, and in particular, to a data transmission control method, a function machine, and a related product.
Background
With the development of the technology, the simpler and more convenient the platform provided for the user, the functional machine can only enumerate two ports by inserting the USB AT the user debugging stage, one is used for AT communication and the other is used for DIAG and LOG communication, that is, a large amount of LOG and DIAG data are transmitted through one channel, and as the functions on the functional machine are more and more, the data transmission efficiency of the functional machine is low, and therefore, the problem of how to improve the data transmission efficiency of the functional machine needs to be solved urgently.
Disclosure of Invention
The embodiment of the application provides a data transmission control method, a function machine and a related product, and the data transmission efficiency of the function machine can be improved.
In a first aspect, an embodiment of the present application provides a data transmission control method, which is applied to a function machine, and the method includes:
after the function machine is connected with the electronic equipment through the USB interface, target data are obtained;
determining target attribute information corresponding to the target data;
determining a target interface identifier corresponding to the target attribute information according to a preset mapping relation between the attribute information and the interface identifier;
and transmitting the target data through a target virtual interface corresponding to the target interface identifier, wherein the function machine comprises M virtual interfaces, the target virtual interface is at least one virtual interface in the M virtual interfaces, and M is an integer greater than 1.
In a second aspect, an embodiment of the present application provides a data transmission control apparatus, which is applied to a function machine, where the apparatus includes: an acquisition unit, a determination unit and a transmission unit, wherein,
the acquisition unit is used for acquiring target data after the function machine is connected with the electronic equipment through the USB interface;
the determining unit is used for determining target attribute information corresponding to the target data;
the determining unit is further configured to determine a target interface identifier corresponding to the target attribute information according to a mapping relationship between preset attribute information and the interface identifier;
the transmission unit is configured to transmit the target data through a target virtual interface corresponding to the target interface identifier, where the function machine includes M virtual interfaces, the target virtual interface is at least one virtual interface of the M virtual interfaces, and M is an integer greater than 1.
In a third aspect, embodiments of the present application provide a functional machine, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for performing the steps in the first aspect of the embodiments of the present application.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program enables a computer to perform some or all of the steps described in the first aspect of the embodiment of the present application.
In a fifth aspect, embodiments of the present application provide a computer program product, where the computer program product includes a non-transitory computer-readable storage medium storing a computer program, where the computer program is operable to cause a computer to perform some or all of the steps as described in the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
The embodiment of the application has the following beneficial effects:
it can be seen that the data transmission control method, the function machine and the related product described in the embodiments of the present application are applied to a function machine, after the function machine is connected with the electronic equipment through the USB interface, target data is obtained, target attribute information corresponding to the target data is determined, determining a target interface identifier corresponding to the target attribute information according to a mapping relation between the preset attribute information and the interface identifier, the target data are transmitted through the target virtual interface corresponding to the target interface identification, the function machine comprises M virtual interfaces, the target virtual interface is at least one virtual interface in the M virtual interfaces, M is an integer larger than 1, the virtual interface corresponding to the attribute information of the data can be selected to be used for realizing data transmission, different data are transmitted through different data transmission channels, and the data transmission efficiency of the function machine is improved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a data transmission control method according to an embodiment of the present application;
fig. 2 is a schematic flowchart of another data transmission control method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a function machine according to an embodiment of the present disclosure;
fig. 4 is a block diagram of functional units of a data transmission control device according to an embodiment of the present application.
Detailed Description
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may include other steps or elements not listed or inherent to such process, method, article, or apparatus in one possible example.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. 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 application.
In the embodiment of the present application, the Feature phone can be understood as a Feature phone, and a Feature phone (Feature phone) is a main category of mobile phones. The functional mobile phone can meet the requirements of consumers of many groups, and the application of some functional mobile phones is also more than that of a common mobile phone which can only be used for making a call and receiving and sending short messages, such as the functions of taking pictures, playing music files, surfing the internet and using maps. Like smart phones, some applications can run on a feature phone, but most are JAVA language programs, which are mostly based on JAVA ME or BREW, which is related to JAVA cross-platform capability. The function machine may be a single core device.
The electronic device according to the embodiments of the present application may be a handheld device, a smart robot, a vehicle-mounted device, a wearable device, a desktop device, a Personal Computer (PC), a computing device or other processing device connected to a wireless modem, and various forms of User Equipment (UE), a Mobile Station (MS), a terminal device (terminal device), and the like, and the electronic device may also be a server or a smart home device.
In the embodiment of the application, the smart home device may be at least one of the following: refrigerator, washing machine, electricity rice cooker, intelligent (window) curtain, intelligent lamp, intelligent bed, intelligent garbage bin, microwave oven, steam ager, air conditioner, lampblack absorber, server, intelligent door, smart window, door wardrobe, intelligent audio amplifier, intelligent house, intelligent chair, intelligent clothes hanger, intelligent shower, water dispenser, water purifier, air purifier, doorbell, monitored control system, intelligent garage, TV set, projecting apparatus, intelligent dining table, intelligent sofa, massage armchair, treadmill etc. of course, can also include other equipment.
Referring to fig. 1, fig. 1 is a schematic flow chart of a data transmission control method according to an embodiment of the present application, and as shown in the drawing, the data transmission control method is applied to a function machine, and includes:
101. and acquiring target data after the function machine is connected with the electronic equipment through the USB interface.
In the embodiment of the present application, the electronic device may establish a communication connection with the electronic device through a USB interface, that is, a USB data line. The electronic device may obtain target data, where the target data may be data stored in the electronic device, and of course, may also be data stored in the function machine. The data may be at least one of: application data, cache data, system data, and the like, without limitation.
Optionally, the step 101 of acquiring the target data may include the following steps:
11. receiving a data acquisition instruction sent by the electronic equipment, wherein the data acquisition instruction carries a target data storage identifier;
12. and acquiring data corresponding to the target data storage identification from a preset database as the target data.
The preset database may be pre-stored in the function machine, and the preset database may store various data, such as operation data of the function machine, system data of the function machine, cache data of the function machine, and the like.
In specific implementation, the function machine can receive a data acquisition instruction sent by the electronic device, the data acquisition instruction carries a target data storage identifier, and then, data corresponding to the target data storage identifier can be acquired from a preset database to serve as target data, so that data required by a user can be acquired.
102. And determining target attribute information corresponding to the target data.
In this embodiment, the target attribute information may be at least one of the following: data type, data source, data size, etc., without limitation.
Optionally, in the step 102, determining the target attribute information corresponding to the target data may include the following steps:
21. extracting keywords from the target data to obtain target keywords;
22. determining a target importance level corresponding to the target keyword according to a mapping relation between a preset keyword and the importance level;
23. and when the target importance level is higher than a preset importance level, determining target attribute information corresponding to the target data.
In the embodiment of the present application, the preset importance level may be set by a user or default by the system. The function machine can store the mapping relation between the preset keywords and the importance levels.
In specific implementation, the electronic device may extract keywords from target data, specifically may implement the keyword through semantic recognition or semantic segmentation to obtain the target keyword, and further determine a target importance level corresponding to the target keyword according to a mapping relationship between a preset keyword and the importance level, and determine target attribute information corresponding to the target data when the target importance level is higher than the preset importance level, that is, when the data importance level is higher, the method of the embodiment of the present application may be adopted to select a corresponding virtual interface to implement data transmission, and conversely, when the data importance level is lower, the data transmission may be implemented according to a specified virtual interface.
Optionally, in the steps 101 to 102, the following steps may be further included:
a1, determining the target memory size of the target data;
a2, when the size of the target memory is larger than the preset memory size, executing the step of determining the target attribute information corresponding to the target data.
In this embodiment, the preset memory size may be pre-stored in the function machine. The preset memory size can be set by a user or default by the system.
In a specific implementation, the function machine may determine a target memory size of the target data, and execute step 102 when the target memory size is larger than a preset memory size, otherwise, may not execute step 102, and further, transmit the target data through the designated virtual interface. The designated virtual interface may be set by the user or by system default.
103. And determining a target interface identifier corresponding to the target attribute information according to a preset mapping relation between the attribute information and the interface identifier.
In the embodiment of the application, the mapping relationship between the preset attribute information and the interface identifier may be pre-stored in the electronic device. Different interface identifications can be selected according to different attribute information.
104. And transmitting the target data through a target virtual interface corresponding to the target interface identifier, wherein the function machine comprises M virtual interfaces, the target virtual interface is at least one virtual interface in the M virtual interfaces, and M is an integer greater than 1.
In this embodiment of the present application, the function machine may include M virtual interfaces, M is an integer greater than 1, and the target virtual interface is at least one virtual interface of the M virtual interfaces, and in a specific implementation, the function machine may transmit target data through the target virtual interface corresponding to the target interface identifier, and the target virtual interface may correspond to at least one data transmission channel, so that a corresponding data transmission channel may be selected according to attribute information of different data to implement data transmission, which is favorable for improving data transmission efficiency. In addition, each virtual interface can perform parameter configuration according to the attribute information of the data, so that the virtual interfaces are more adaptive to corresponding data transmission.
Optionally, when the target virtual interfaces are N virtual interfaces, where N is an integer greater than 1, in step 104, transmitting the target data through the target virtual interface corresponding to the target interface identifier may include the following steps:
41. classifying and packaging the target data to obtain N data packets;
42. determining N processes, and distributing one process for each data packet in the N data packets;
43. and transmitting the corresponding data packet through each virtual interface in the N virtual interfaces and the corresponding process.
In this embodiment of the application, when the target virtual interface may be N virtual interfaces, N is an integer greater than 1 and less than or equal to M, in a specific implementation, the function machine may classify and package the target data to obtain N data packets, determine N processes, allocate one process to each data packet in the N data packets, and transmit the corresponding data packet through each virtual interface in the N virtual interfaces and the corresponding process, so that the data transmission efficiency may be improved.
In specific implementation, after the electronic device is plugged into the USB, the function machine may initialize the USB core, bind a USB driver (e.g., function driver) to the USB gadget driver, and perform hardware interaction of data with the USB PHY layer through the UDC driver. In addition, the USB serial port enumeration may be performed first, the configuration descriptor may be configured into a configuration of four serial ports, each serial port needs two, the EP endpoint receives and transmits data, and the function driver may apply for sufficient memory space for four channels to transmit data.
In a specific implementation, when the electronic device sends data by specifying a data transmission tool (e.g., a logel tool), and the function machine receives the data, a buffer address of the data to be received and a maximum data length (in bytes) that can be received at a time may be configured for a receiving endpoint of a corresponding serial port First, because the USB is internally transmitted by Direct Memory Access (DMA), and a related configuration of the DMA is set (specifically according to a hardware design of each USB IP), when the data of the electronic device reaches a First Input First Output (FIFO), the DMA may move the FIFO data to the configured buffer address, and then send the data to an application layer for parsing, and then send the parsing result to the electronic device, so as to display the parsing result on the electronic device side.
Further, when the function machine needs to output the log, the application layer may put data to be sent into a fixed buffer through an interface (a preset interface) for printing the debugging information, transmit the data to the USB controller through a sending interface in the function driver, then configure the address and length of the buffer to be sent to a sending endpoint, finally start the DMA send enable, send the data to the USB bus, and further, display the data through a logel tool in the electronic device.
In the embodiment of the application, different types of data can be communicated through different channels, so that when the condition of large data volume occurs, different types of data are transmitted through different channels, the transmission efficiency of the system can be increased, and the separation of the different types of data can facilitate the operation of comparing and checking the different types of data on the user interface of a user, thereby enhancing the user experience.
In one possible example, before the step 104 of identifying the corresponding target virtual interface through the target interface to transmit the target data, the method may further include the following steps:
b1, acquiring a target face image sent by the electronic equipment;
b2, carrying out image quality evaluation on the target face image to obtain a face image quality evaluation value;
b3, matching the target face image with a preset face image when the face image quality evaluation value is larger than a preset image quality evaluation value;
b4, when the target face image is successfully matched with the preset face image, executing the step of executing backup operation through a preset data transmission tool based on the USB interface.
In the embodiment of the application, the preset image quality evaluation value and the preset face image can be stored in the function machine in advance, and can be set by a user or default by a system.
In specific implementation, the functional machine may perform image quality evaluation on the target face image by using at least one image quality evaluation index to obtain a face image quality evaluation value, where the image quality evaluation index may be at least one of the following: face deviation degree, face integrity degree, definition degree, feature point distribution density, average gradient, information entropy, signal-to-noise ratio and the like, which are not limited herein. The human face deviation degree is the deviation degree between the human face angle in the image and the human face angle of the front face, and the human face integrity degree is the ratio of the area of the human face in the image to the area of the complete human face. And then, matching the target face image with the preset face image, and executing subsequent data transmission operation when the target face image is successfully matched with the preset face image, otherwise, not executing the subsequent operation, and improving the data transmission safety.
In one possible example, the step B2, performing image quality evaluation on the target face image to obtain a face image quality evaluation value, may include the following steps:
b21, acquiring a target face deviation degree of a target face image, a target face integrity degree of the target face image, a target feature point distribution density of the target face image and a target information entropy;
b22, when the target face deviation degree is greater than a preset deviation degree and the target face integrity degree is greater than a preset integrity degree, determining a target first reference evaluation value corresponding to the target face deviation degree according to a mapping relation between the preset face deviation degree and the first reference evaluation value;
b23, determining a target second reference evaluation value corresponding to the target face integrity according to a preset mapping relation between the face integrity and the second reference evaluation value;
b24, determining a target weight pair corresponding to the target feature point distribution density according to a preset mapping relation between the feature point distribution density and the weight pair, wherein the target weight pair comprises a target first weight and a target second weight, the target first weight is a weight corresponding to the first reference evaluation value, and the target second weight is a weight corresponding to the second reference evaluation value;
b25, performing weighted operation according to the target first weight, the target second weight, the target first reference evaluation value and the target second reference evaluation value to obtain a first reference evaluation value;
b26, determining a first image quality evaluation value corresponding to the target feature point distribution density according to a preset mapping relation between the feature point distribution density and the image quality evaluation value;
b27, determining a target image quality deviation value corresponding to the target information entropy according to a mapping relation between a preset information entropy and an image quality deviation value;
b28, acquiring a first shooting parameter of the target face image;
b29, determining a target optimization coefficient corresponding to the first shooting parameter according to a preset mapping relation between the shooting parameter and the optimization coefficient;
b30, adjusting the first image quality evaluation value according to the target optimization coefficient and the target image quality deviation value to obtain a second reference evaluation value;
b31, acquiring target environment parameters corresponding to the target face image;
b32, determining a target weight coefficient pair corresponding to the target environment parameter according to a mapping relation between preset environment parameters and the weight coefficient pair, wherein the target weight coefficient pair comprises a target first weight coefficient and a target second weight coefficient, the target first weight coefficient is a weight coefficient corresponding to the first reference evaluation value, and the target second weight coefficient is a weight coefficient corresponding to the second reference evaluation value;
b33, performing weighting operation according to the target first weight coefficient, the target second weight coefficient, the first reference evaluation value and the second reference evaluation value, and obtaining a face image quality evaluation value of the target face image.
In the embodiment of the application, the preset deviation degree and the preset integrity degree can be set by a user or defaulted by a system, and the preset deviation degree and the preset integrity degree can be successfully recognized by the human face only if the preset deviation degree and the preset integrity degree are within a certain range. The function machine may pre-store a mapping relationship between a preset face deviation degree and a first reference evaluation value, a mapping relationship between a preset face integrity degree and a second reference evaluation value, and a mapping relationship between a preset feature point distribution density and a weight pair, where the weight pair may include a first weight and a second weight, a sum of the first weight and the second weight is 1, the first weight is a weight corresponding to the first reference evaluation value, and the second weight is a weight corresponding to the second reference evaluation value. The function machine may further store a mapping relationship between a preset feature point distribution density and an image quality evaluation value, a mapping relationship between a preset information entropy and an image quality deviation value, a mapping relationship between a preset shooting parameter and an optimization coefficient, and a mapping relationship between a preset environment parameter and a weight coefficient pair in advance. The weight coefficient pair may include a first weight coefficient and a second weight coefficient, the first weight coefficient is a weight coefficient corresponding to the first reference evaluation value, the second weight coefficient is a weight coefficient corresponding to the second reference evaluation value, and a sum of the first weight coefficient and the second weight coefficient is 1.
The value range of the image quality evaluation value can be 0-1, or 0-100. The image quality deviation value may be a positive real number, for example, 0 to 1, or may be greater than 1. The value range of the optimization coefficient can be-1 to 1, for example, the optimization coefficient can be-0.1 to 0.1. In the embodiment of the present application, the shooting parameter may be at least one of the following: exposure time, shooting mode, sensitivity ISO, white balance parameters, focal length, focus, region of interest, etc., without limitation. The environmental parameter may be at least one of: ambient brightness, ambient temperature, ambient humidity, weather, atmospheric pressure, magnetic field interference strength, etc., and are not limited thereto.
In specific implementation, the function machine may obtain a target face deviation degree of a target face image, a target face integrity degree of the target face image, a target feature point distribution density of the target face image, and a target information entropy, where the target feature point distribution density may be a ratio between a total number of feature points of the target face image and an area of the target face image.
Furthermore, when the degree of deviation of the target face is greater than the preset degree of deviation and the degree of integrity of the target face is greater than the preset degree of integrity, the function machine may determine a target first reference evaluation value corresponding to the degree of deviation of the target face according to a mapping relationship between the preset degree of deviation of the face and the first reference evaluation value, may also determine a target second reference evaluation value corresponding to the degree of integrity of the target face according to a mapping relationship between the preset degree of integrity of the face and the second reference evaluation value, and determine a target weight pair corresponding to the distribution density of the target feature points according to a mapping relationship between the preset feature point distribution density and the weight pair, where the target weight pair includes a target first weight and a target second weight, the target first weight is a weight corresponding to the first reference evaluation value, and the target second weight is a weight corresponding to the second reference evaluation value, and then, may determine the target first weight, the target second weight, the, And performing weighted operation on the target second weight, the target first reference evaluation value and the target second reference evaluation value to obtain a first reference evaluation value, wherein a specific calculation formula is as follows:
the first reference evaluation value is a target first reference evaluation value and a target first weight and the target second reference evaluation value is a target second weight
Furthermore, the quality of the image can be evaluated in terms of the human face angle and the human face integrity.
Further, the function machine may determine a first image quality evaluation value corresponding to the target feature point distribution density according to a mapping relationship between a preset feature point distribution density and an image quality evaluation value, and determine a target image quality deviation value corresponding to the target information entropy according to a mapping relationship between a preset information entropy and an image quality deviation value. The functional machine can determine a target image quality deviation value corresponding to the target information entropy according to a mapping relation between a preset information entropy and the image quality deviation value, and because some noises are generated due to external (weather, light, angle, jitter and the like) or internal (system, GPU) reasons when an image is generated, the noises can bring some influences on the image quality, therefore, the image quality can be regulated to a certain degree to ensure that the image quality is objectively evaluated.
Further, the function machine may further obtain a first shooting parameter of the target face image, determine a target optimization coefficient corresponding to the first shooting parameter according to a mapping relationship between preset shooting parameters and optimization coefficients, where the shooting parameter setting may also bring a certain influence on image quality evaluation, and therefore, it is necessary to determine an influence component of the shooting parameter on the image quality, and finally, adjust the first image quality evaluation value according to the target optimization coefficient and the target image quality deviation value to obtain a second reference evaluation value, where the second reference evaluation value may be obtained according to the following formula:
when the image quality evaluation value is a percentile system, the specific calculation formula is as follows:
second reference evaluation value ═ (first image quality evaluation value + target image quality deviation value) (1+ target optimization coefficient)
In the case where the image quality evaluation value is a percentage, the specific calculation formula is as follows:
the second reference evaluation value (first image quality evaluation value (1+ target image quality deviation value) (1+ target optimization coefficient))
Further, the function machine may obtain a target environment parameter corresponding to the target face image, and determine a target weight coefficient pair corresponding to the target environment parameter according to a mapping relationship between a preset environment parameter and the weight coefficient pair, where the target weight coefficient pair includes a target first weight coefficient and a target second weight coefficient, the target first weight coefficient is a weight coefficient corresponding to the first reference evaluation value, and the target second weight coefficient is a weight coefficient corresponding to the second reference evaluation value, and further, may perform a weighting operation according to the target first weight coefficient, the target second weight coefficient, the first reference evaluation value, and the second reference evaluation value to obtain a face image quality evaluation value of the target face image, and the specific calculation formula is as follows:
the face image quality evaluation value of the target face image is equal to a first reference evaluation value, a target first weight coefficient and a second reference evaluation value, a target second weight coefficient
Therefore, the image quality can be objectively evaluated by combining the influences of internal and external environment factors, shooting setting factors, human face angles, integrity and the like, and the evaluation accuracy of the human face image quality is improved.
It can be seen that the data transmission control method described in this embodiment of the application is applied to a function machine, and after the function machine is connected to an electronic device through a USB interface, target data is acquired, target attribute information corresponding to the target data is determined, a target interface identifier corresponding to the target attribute information is determined according to a mapping relationship between preset attribute information and an interface identifier, and the target data is transmitted through a target virtual interface corresponding to the target interface identifier, where the function machine includes M virtual interfaces, the target virtual interface is at least one virtual interface among the M virtual interfaces, M is an integer greater than 1, and a virtual interface corresponding to the attribute information of the data can be selected to implement data transmission, so that different data are transmitted through different data transmission channels, and the data transmission efficiency of the function machine is improved.
Referring to fig. 2, fig. 2 is a schematic flow chart of a data transmission control method according to an embodiment of the present application, applied to the functional machine shown in fig. 1, where the data transmission control method includes:
201. and acquiring target data after the function machine is connected with the electronic equipment through the USB interface.
202. And determining the target memory size of the target data.
203. And when the size of the target memory is larger than the preset memory size, determining target attribute information corresponding to the target data.
204. And determining a target interface identifier corresponding to the target attribute information according to a preset mapping relation between the attribute information and the interface identifier.
205. And transmitting the target data through a target virtual interface corresponding to the target interface identifier, wherein the function machine comprises M virtual interfaces, the target virtual interface is at least one virtual interface in the M virtual interfaces, and M is an integer greater than 1.
For the detailed description of the steps 201 to 205, reference may be made to corresponding steps of the data transmission control method described in fig. 1, and details are not repeated here.
It can be seen that the data transmission control method described in the embodiments of the present application is applied to a function machine, and after the function machine establishes a connection with an electronic device through a USB interface, target data is obtained, a target memory size of the target data is determined, when the target memory size is larger than a preset memory size, target attribute information corresponding to the target data is determined, a target interface identifier corresponding to the target attribute information is determined according to a mapping relationship between the preset attribute information and an interface identifier, and the target data is transmitted through a target virtual interface corresponding to the target interface identifier, the function machine includes M virtual interfaces, the target virtual interface is at least one virtual interface among the M virtual interfaces, M is an integer larger than 1, the virtual interface corresponding to the attribute information of the data can be selected for implementing data transmission, and different data can be transmitted by using different data transmission channels, the data transmission efficiency of the function machine is improved.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a functional machine according to an embodiment of the present application, and the functional machine includes a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and in an embodiment of the present application, the programs include instructions for performing the following steps:
after the function machine is connected with the electronic equipment through the USB interface, target data are obtained;
determining target attribute information corresponding to the target data;
determining a target interface identifier corresponding to the target attribute information according to a preset mapping relation between the attribute information and the interface identifier;
and transmitting the target data through a target virtual interface corresponding to the target interface identifier, wherein the function machine comprises M virtual interfaces, the target virtual interface is at least one virtual interface in the M virtual interfaces, and M is an integer greater than 1.
It can be seen that, the functional machine described in this embodiment of the present application, after the functional machine establishes a connection with an electronic device through a USB interface, acquires target data, determines target attribute information corresponding to the target data, determines a target interface identifier corresponding to the target attribute information according to a mapping relationship between preset attribute information and the interface identifier, and transmits the target data through a target virtual interface corresponding to the target interface identifier, where the functional machine includes M virtual interfaces, the target virtual interface is at least one virtual interface of the M virtual interfaces, and M is an integer greater than 1, and the virtual interface corresponding to the attribute information of the data can be selected to implement data transmission, so that different data are transmitted through different data transmission channels, and the data transmission efficiency of the functional machine is improved.
Optionally, when the target virtual interfaces are N virtual interfaces, where N is an integer greater than 1, in terms of transmitting the target data through the target virtual interface corresponding to the target interface identifier, the program includes instructions for executing the following steps:
classifying and packaging the target data to obtain N data packets;
determining N processes, and distributing one process for each data packet in the N data packets;
and transmitting the corresponding data packet through each virtual interface in the N virtual interfaces and the corresponding process.
Optionally, in the aspect of determining the target attribute information corresponding to the target data, the program includes instructions for performing the following steps:
extracting keywords from the target data to obtain target keywords;
determining a target importance level corresponding to the target keyword according to a mapping relation between a preset keyword and the importance level;
and when the target importance level is higher than a preset importance level, determining target attribute information corresponding to the target data.
Optionally, in the aspect of acquiring target data, the program includes instructions for performing the following steps:
receiving a data acquisition instruction sent by the electronic equipment, wherein the data acquisition instruction carries a target data storage identifier;
and acquiring data corresponding to the target data storage identification from a preset database as the target data.
Optionally, the program further comprises instructions for performing the steps of:
determining the target memory size of the target data;
and when the size of the target memory is larger than the preset memory size, executing the step of determining the target attribute information corresponding to the target data.
The above description has introduced the solution of the embodiment of the present application mainly from the perspective of the method-side implementation process. It is understood that in order to implement the above functions, it includes corresponding hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. 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.
In the embodiment of the present application, the functional units may be divided according to the above method examples, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 4 is a block diagram of functional units of a data transmission control apparatus 400 according to an embodiment of the present application, where the apparatus 400 is applied to a function machine, and the apparatus 400 includes: an acquisition unit 401, a determination unit 402, and a transmission unit 403, wherein,
the acquiring unit 401 is configured to acquire target data after the function machine is connected to the electronic device through the USB interface;
the determining unit 402 is configured to determine target attribute information corresponding to the target data;
the determining unit 402 is further configured to determine a target interface identifier corresponding to the target attribute information according to a mapping relationship between preset attribute information and an interface identifier;
the transmission unit 403 is configured to transmit the target data through a target virtual interface corresponding to the target interface identifier, where the function machine includes M virtual interfaces, the target virtual interface is at least one virtual interface in the M virtual interfaces, and M is an integer greater than 1.
It can be seen that the data transmission control apparatus described in this embodiment of the application is applied to a function machine, and after the function machine is connected to an electronic device through a USB interface, target data is acquired, target attribute information corresponding to the target data is determined, a target interface identifier corresponding to the target attribute information is determined according to a mapping relationship between preset attribute information and an interface identifier, and the target data is transmitted through a target virtual interface corresponding to the target interface identifier, where the function machine includes M virtual interfaces, the target virtual interface is at least one virtual interface among the M virtual interfaces, M is an integer greater than 1, and a virtual interface corresponding to the attribute information of the data can be selected to implement data transmission, so that different data are transmitted through different data transmission channels, and data transmission efficiency of the function machine is improved.
Optionally, when the target virtual interfaces are N virtual interfaces, where N is an integer greater than 1, and in the aspect of transmitting the target data through the target virtual interface corresponding to the target interface identifier, the transmission unit 403 is specifically configured to:
classifying and packaging the target data to obtain N data packets;
determining N processes, and distributing one process for each data packet in the N data packets;
and transmitting the corresponding data packet through each virtual interface in the N virtual interfaces and the corresponding process.
Optionally, in the aspect of determining the target attribute information corresponding to the target data, the determining unit 402 is specifically configured to:
extracting keywords from the target data to obtain target keywords;
determining a target importance level corresponding to the target keyword according to a mapping relation between a preset keyword and the importance level;
and when the target importance level is higher than a preset importance level, determining target attribute information corresponding to the target data.
Optionally, in terms of acquiring the target data, the acquiring unit 401 is specifically configured to:
receiving a data acquisition instruction sent by the electronic equipment, wherein the data acquisition instruction carries a target data storage identifier;
and acquiring data corresponding to the target data storage identification from a preset database as the target data.
Optionally, the apparatus 400 is further specifically configured to:
determining the target memory size of the target data;
and when the size of the target memory is larger than the preset memory size, executing the step of determining the target attribute information corresponding to the target data.
It can be understood that the functions of each program module of the data transmission control device in this embodiment may be specifically implemented according to the method in the foregoing method embodiment, and the specific implementation process may refer to the related description of the foregoing method embodiment, which is not described herein again.
Embodiments of the present application also provide a computer storage medium, wherein the computer storage medium stores a computer program for electronic data exchange, the computer program enables a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes a functional computer.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising a feature machine.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (10)
1. A data transmission control method, applied to a function machine, the method comprising:
after the function machine is connected with the electronic equipment through the USB interface, target data are obtained;
determining target attribute information corresponding to the target data;
determining a target interface identifier corresponding to the target attribute information according to a preset mapping relation between the attribute information and the interface identifier;
and transmitting the target data through a target virtual interface corresponding to the target interface identifier, wherein the function machine comprises M virtual interfaces, the target virtual interface is at least one virtual interface in the M virtual interfaces, and M is an integer greater than 1.
2. The method according to claim 1, wherein when the target virtual interfaces are N virtual interfaces, where N is an integer greater than 1, the transmitting the target data through the target virtual interface corresponding to the target interface identifier includes:
classifying and packaging the target data to obtain N data packets;
determining N processes, and distributing one process for each data packet in the N data packets;
and transmitting the corresponding data packet through each virtual interface in the N virtual interfaces and the corresponding process.
3. The method according to claim 1 or 2, wherein the determining the target attribute information corresponding to the target data comprises:
extracting keywords from the target data to obtain target keywords;
determining a target importance level corresponding to the target keyword according to a mapping relation between a preset keyword and the importance level;
and when the target importance level is higher than a preset importance level, determining target attribute information corresponding to the target data.
4. The method of claim 1 or 2, wherein the obtaining target data comprises:
receiving a data acquisition instruction sent by the electronic equipment, wherein the data acquisition instruction carries a target data storage identifier;
and acquiring data corresponding to the target data storage identification from a preset database as the target data.
5. The method according to claim 1 or 2, characterized in that the method further comprises:
determining the target memory size of the target data;
and when the size of the target memory is larger than the preset memory size, executing the step of determining the target attribute information corresponding to the target data.
6. A data transmission control apparatus, applied to a function machine, the apparatus comprising: an acquisition unit, a determination unit and a transmission unit, wherein,
the acquisition unit is used for acquiring target data after the function machine is connected with the electronic equipment through the USB interface;
the determining unit is used for determining target attribute information corresponding to the target data;
the determining unit is further configured to determine a target interface identifier corresponding to the target attribute information according to a mapping relationship between preset attribute information and the interface identifier;
the transmission unit is configured to transmit the target data through a target virtual interface corresponding to the target interface identifier, where the function machine includes M virtual interfaces, the target virtual interface is at least one virtual interface of the M virtual interfaces, and M is an integer greater than 1.
7. The apparatus according to claim 6, wherein when the target virtual interfaces are N virtual interfaces, where N is an integer greater than 1, in the aspect of transmitting the target data through the target virtual interface corresponding to the target interface identifier, the transmission unit is specifically configured to:
classifying and packaging the target data to obtain N data packets;
determining N processes, and distributing one process for each data packet in the N data packets;
and transmitting the corresponding data packet through each virtual interface in the N virtual interfaces and the corresponding process.
8. The apparatus according to claim 6 or 7, wherein in the aspect of determining the target attribute information corresponding to the target data, the determining unit is specifically configured to:
extracting keywords from the target data to obtain target keywords;
determining a target importance level corresponding to the target keyword according to a mapping relation between a preset keyword and the importance level;
and when the target importance level is higher than a preset importance level, determining target attribute information corresponding to the target data.
9. A functional machine comprising a processor, a memory for storing one or more programs and configured for execution by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.
10. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-5.
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