Image transmission separation intelligent channel switching evaluation system and method based on interference analysis

Abstract

The invention relates to the technical field of image transmission separation, in particular to an image transmission separation intelligent channel switching evaluation system and method based on interference analysis. Channel transmission safety evaluation is carried out based on the matching condition of signal characteristics of channels of a transmission end and a receiving end and signal characteristics of interference signals in a scene, channel transmission matching analysis is carried out based on a transmission signal importance analysis result and a channel transmission safety evaluation result, and channel transmission switching is carried out based on a channel transmission matching analysis result. According to the invention, dynamic switching of channel transmission is carried out according to the importance degree of the image data and the channel transmission security, and the security and accuracy of important data transmission are improved.

Description

Technical Field

[0001] This application relates to the technical field of video and transmission separation, and particularly to an intelligent channel switching evaluation system and method for video and transmission separation based on interference analysis. Background Art

[0002] During the wireless transmission process, interference is one of the main factors affecting the transmission quality. The intelligent channel switching technology is a dynamic spectrum management method that automatically switches to the optimal channel by real-time monitoring of the channel quality and interference conditions. However, when performing channel switching, it is impossible to accurately analyze the importance of image data and accurately evaluate the channel transmission security through the similar signal interference conditions of the channel, and it is impossible to perform dynamic switching of channel transmission based on the importance of image data and channel transmission security, resulting in low security and accuracy of important data transmission. For example, in the patent application with the publication number CN116095781A, a channel switching method and a 5G intelligent router are disclosed. The first routing attribute data, the first historical working data, the first attribute data of the first connected terminal, and the first motion data of the router are obtained; a historical working model is generated according to the first historical working data; a channel switching model is obtained according to the first motion data, the first routing attribute data, the first attribute data, and the historical working model; a channel switching instruction set is generated according to the second motion data, the second attribute data of the second connected terminal, the first routing attribute data, and the channel switching model; the connection channel between the router and the second connected terminal is switched according to the current location information of the second connected terminal, the current working data of the router, and the channel switching instruction set. Through this solution, the router can intelligently and automatically perform channel switching according to the needs of the connected terminal, improving the working efficiency of the router and the utilization rate of network resources. However, it is impossible to accurately analyze the importance of image data and accurately evaluate the channel transmission security through the similar signal interference conditions of the channel, and it is impossible to perform dynamic switching of channel transmission based on the importance of image data and channel transmission security.

[0003] In view of the above problems, this application proposes an intelligent channel switching evaluation system and method for video and transmission separation based on interference analysis. Summary of the Invention

[0004] In order to overcome the defects and deficiencies of the existing technologies, the present application provides an intelligent channel switching evaluation system and method for image transmission separation based on interference analysis. The present application conducts an analysis on the importance of transmission signals based on the image features to be transmitted, and the signal levels of the transmitting end and the receiving end, conducts an evaluation on the security of channel transmission based on the matching situation between the signal features of the channels at the transmitting end and the receiving end and the signal features of the interference signals in the scenario, conducts an analysis on the matching of channel transmission based on the results of the analysis on the importance of transmission signals and the evaluation results of the security of channel transmission, and conducts a switching of channel transmission based on the results of the analysis on the matching of channel transmission. The present application conducts a dynamic switching of channel transmission according to the importance degree of image data and the security of channel transmission, thereby improving the security and accuracy of the transmission of important data.

[0005] To achieve the above object, the present application adopts the following technical solutions: In a first aspect, the present application provides an intelligent channel switching evaluation method for image transmission separation based on interference analysis, including the following steps: S1: Obtain the signal features of the channels at the transmitting end and the receiving end, simultaneously obtain the signal features of the interference signals in the scenario, and simultaneously obtain the image features to be transmitted; S2: Conduct an analysis on the importance of transmission signals based on the image features to be transmitted, and the signal levels of the transmitting end and the receiving end; S3: Conduct an evaluation on the security of channel transmission based on the matching situation between the signal features of the channels at the transmitting end and the receiving end and the signal features of the interference signals in the scenario; S4: Conduct an analysis on the matching of channel transmission based on the results of the analysis on the importance of transmission signals and the evaluation results of the security of channel transmission; S5: Conduct a switching of channel transmission based on the results of the analysis on the matching of channel transmission.

[0006] In an implementation manner of the present application, step S1 includes the following specific steps: S11. When the unmanned aerial vehicle (UAV) swarm is flying, take photos of the positions to be detected below and transmit them to the receiving end of the receiving component through the UAV information transmission end, obtain the signal features of the channels at the transmitting end and the receiving end, including the frequency ranges of various channels, simultaneously obtain the frequencies and signal intensity data of the interference signals in the scenarios at the receiving end and the transmitting end, and simultaneously obtain the environmental data of the signal transmission scenario, where the environmental data includes environmental data such as temperature, humidity, and obstacles that affect signal transmission for analyzing the attenuation of various channels; S12. Obtain the image situation to be transmitted and the signal transmission level situations of the transmission end and the receiving end. Here, the signal transmission level is the level of different UAV shooting positions. For example, on a shooting path, the shooting level of the shooting position is custom - set according to the importance of the shooting position. Analyze the shooting scene into several shooting levels. If the importance levels of all positions on the shooting path are the same, set all the signal transmission levels to the same level, and store the obtained data in the corresponding transmission module.

[0007] In an implementation manner of the present application, the analysis of the importance of the transmission signal in step S2 includes the following specific steps: S21. Analyze the image change situation based on the change situation between the image situation to be transmitted and the standard image situation of the corresponding position. Exemplarily, the standard image is the image of the corresponding position in the previous period or the standard image set by the user according to the change of the corresponding position. The formula for analyzing the image change situation is: , where M is the number of pixel points of the image to be transmitted, cj is the pixel value of the j - th pixel point of the image to be transmitted, and cjt is the pixel value of the j - th pixel point of the standard image of the corresponding position. In this way, the abnormal change of the transmission image relative to the standard image situation of the corresponding position is analyzed by comprehensively considering the abnormal changes of each pixel point of the image; S22. Analyze the importance of the transmission signal based on the result of the image change situation analysis and the signal transmission level situation from the transmission end to the receiving end. The formula for analyzing the importance of the transmission signal is: , where ki is the signal transmission level of the i - th signal in the transmission scenario, kz is the signal transmission level of the z - th signal in the transmission scenario, and N is the number of signals transmitted in the transmission scenario. In this step, the importance of the transmission signal is analyzed through the change situation of the transmission image relative to the standard image situation of the corresponding position and the signal transmission level of the signal.

[0008] In an implementation manner of the present application, the evaluation of the channel transmission security in step S3 includes the following specific steps: S31. Obtain the frequency ranges of various channels of the transmission end and the receiving end. At the same time, obtain the frequencies and signal intensity data of the interference signals in the scenes of the receiving end and the transmission end, and conduct interference analysis on the transmission of various channels based on the frequencies and signal intensity data of the interference signals in the scene. The specific steps include the following: S311. Obtain the frequencies and signal intensity data of the interference signals in the transmission scenario of the transmission position, and at the same time obtain the frequency range data of various channels; S312. Import the obtained data into the calculation formula of the transmission interference analysis value to calculate the transmission interference analysis value of the corresponding channel. The calculation formula of the transmission interference analysis value of the b - th channel is: , where Lb is the frequency range of the b-th channel, G is the number of external interference signals, Cl is the signal frequency of the l-th signal in the b-th channel, Cgl is the frequency of the g-th signal in the interference signals, Dbg is the intensity of the g-th signal in the interference signals, and Db is the transmission intensity of the b-th channel, where the l-signal frequency is within the frequency range of the b-th channel; In this formula, represents the difference value between the signal frequency of the l-th signal in the b-th channel and the frequency of the g-th signal in the interference signals, that is, the more similar the frequencies of the signals, the greater the interference degree. The influence of the interference signals on the channel transmission is comprehensively analyzed by combining the frequency similarity and the intensity of the interference signals; S32. Perform channel signal attenuation analysis based on the environmental data of the transmission scenario, the channel signal transmission attenuation situation, and the signal transmission distance, specifically including the following specific steps: Obtain the environmental data of the transmission scenario, including environmental data such as temperature, humidity, and obstacles that affect signal transmission. At the same time, obtain the channel signal transmission attenuation situation and the signal transmission distance to construct a deep learning neural network with the environmental data of the transmission scenario, the channel signal transmission attenuation situation, and the signal transmission distance data as the input and the channel signal attenuation value as the output. Based on the constructed deep learning neural network, derive the signal intensity after the corresponding channel signal attenuation, and divide the received security intensity of the corresponding channel at the receiving end by the signal intensity after the corresponding channel signal attenuation to obtain the signal attenuation analysis result of the corresponding channel; S33. Perform channel transmission security analysis based on the channel transmission interference analysis result and the signal attenuation analysis result. Among them, the channel transmission security analysis formula for the b-th channel is: , where Xb is the channel transmission security of the b-th channel, Tb is the channel transmission interference analysis value of the b-th channel, and Fb is the signal attenuation analysis result of the b-th signal, is the channel transmission interference proportion weight, is the signal attenuation analysis result proportion weight; In an implementation manner of the present application, the channel transmission matching analysis in step S4 includes the following specific contents: S41. Obtain the channel transmission security of all channels and the importance of the transmission signals to be transmitted. Divide the importance of the transmission signals to be transmitted by the channel transmission security of each corresponding channel to obtain the transmission matching degree between the transmission signals and each corresponding channel; S42. Set a matching standard value, compare the transmission matching degree between the transmission signals and each corresponding channel, and obtain the corresponding channel with the smallest difference from the matching standard value among the transmission matching degrees between the transmission signals and each corresponding channel. Set this channel as the matching channel of the transmission signals.

[0009] In an implementation manner of the present application, the channel transmission switching based on the channel transmission matching analysis result includes the following specific steps: Obtain the transmission channels of each transmission signal, and the transmission signal is switched and transmitted according to the corresponding matching channel.

[0010] In a second aspect, the present application also provides an intelligent channel switching evaluation system for image transmission separation based on interference analysis, including: A data acquisition module, configured to acquire the signal characteristics of the channels at the transmission end and the reception end, simultaneously acquire the signal characteristics of the interference signals in the scene, and simultaneously acquire the image characteristics to be transmitted; A signal importance analysis module, which performs transmission signal importance analysis based on the image characteristics to be transmitted, and the signal levels at the transmission end and the reception end; A transmission security evaluation module, which performs channel transmission security evaluation based on the matching situation between the signal characteristics of the channels at the transmission end and the reception end and the signal characteristics of the interference signals in the scene; A transmission matching analysis module, which performs channel transmission matching analysis based on the results of the transmission signal importance analysis and the channel transmission security evaluation results; A transmission switching module, which performs channel transmission switching based on the results of the channel transmission matching analysis.

[0011] In a third aspect, an electronic device provided by the present application includes: a processor and a memory, wherein, a computer program that can be called by the processor is stored in the memory, and the processor executes the intelligent channel switching evaluation method for image transmission separation based on interference analysis by calling the computer program stored in the memory.

[0012] In a fourth aspect, a computer-readable storage medium provided by the present application stores instructions, and when the instructions run on a computer, the computer is made to execute the intelligent channel switching evaluation method for image transmission separation based on interference analysis.

[0013] Compared with the prior art, the present application has the following advantages and beneficial effects: The present application performs transmission signal importance analysis based on the image characteristics to be transmitted, and the signal levels at the transmission end and the reception end, performs channel transmission security evaluation based on the matching situation between the signal characteristics of the channels at the transmission end and the reception end and the signal characteristics of the interference signals in the scene, performs channel transmission matching analysis based on the results of the transmission signal importance analysis and the channel transmission security evaluation results, and performs channel transmission switching based on the results of the channel transmission matching analysis. The present application performs dynamic switching of channel transmission according to the importance degree of image data and the channel transmission security, improving the security and accuracy of important data transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, objects, and advantages of the present application will become more obvious: Figure 1 It is a schematic diagram of the overall process of the method of this application; Figure 2 It is a working flowchart of S3 in the method of this application; Figure 3 It is a working flowchart of interference analysis in the method of this application; Figure 4 It is a schematic diagram of the structure of the system of this application. Specific embodiments

[0015] The technical solution of this application will be described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of this application and the specific features in the embodiments are detailed descriptions of the technical solution of this application, rather than limitations on the technical solution of this application. Without conflict, the technical features in the embodiments of this application and the embodiments can be combined with each other.

[0016] Embodiment 1

[0017] As Figures 1 to 3 shown, this embodiment provides an image transmission separation intelligent channel switching evaluation method based on interference analysis, which specifically includes the following steps: S1: Obtain the signal characteristics of the channels at the transmitting end and the receiving end, and at the same time obtain the signal characteristics of the interference signals in the scene, and at the same time obtain the image characteristics to be transmitted; In this embodiment, step S1 includes the following specific steps: S11. When the UAV swarm is flying, take pictures of the positions to be detected below and transmit them to the receiving end of the receiving component through the UAV information transmission end, obtain the signal characteristics of the channels at the transmitting end and the receiving end, including the frequency ranges of various channels, and at the same time obtain the frequencies and signal intensity data of the interference signals in the scenes at the receiving end and the transmitting end, and at the same time obtain the environmental data of the signal transmission scene, where the environmental data includes environmental data such as temperature, humidity, and obstacles that affect signal transmission for analyzing the attenuation of various channels; Exemplarily, for example, the existing channel attenuation is as shown in the following table: ; S12, obtaining the image conditions that need to be transmitted, and the signal transmission level conditions of the transmission end and the receiving end, wherein the signal transmission level is the level of different UAV shooting positions, for example, the shooting level of the shooting position is customized according to the importance of the shooting position on a shooting path, and the shooting scene is analyzed into several shooting levels. If the importance of each position on the shooting path is the same, the signal transmission levels are all set to the same level. For example, when shooting farmland occupation, the position with high density of farmland crops or soil suitable for crop growth can be set to a high level, and the position with low density of farmland crops or soil unsuitable for crop growth can be set to a low level, and the acquired data is stored in the corresponding transmission module; S2: Analyze the importance of transmission signals based on the image features to be transmitted, the signal levels of the transmitting end and the receiving end; In this embodiment, the importance analysis of the transmission signal in step S2 includes the following specific steps: S21, performing image change analysis based on the change between the image to be transmitted and the standard image at the corresponding position, where the standard image is the image at the corresponding position in the previous cycle or the standard image set by the user according to the change of the corresponding position, and the image change analysis formula is: , where M is the number of image pixels that need to be transmitted, cj is the pixel value of the jth pixel of the image that needs to be transmitted, and cjt is the pixel value of the jth pixel of the standard image at the corresponding position. In this way, the abnormal changes of each pixel of the comprehensive image can be used to analyze the abnormal changes of the transmitted image relative to the standard image at the corresponding position; S22, based on the image change analysis results and the signal transmission level from the transmission end to the receiving end, the importance of the transmission signal is analyzed, wherein the transmission signal importance analysis formula is: , where ki is the signal transmission level of the i-th signal in the transmission scene, kz is the signal transmission level of the z-th signal in the transmission scene, and N is the number of signals transmitted in the transmission scene. In this step, the importance of the transmission signal is analyzed by the change of the transmission image relative to the standard image at the corresponding position and the signal transmission level of the signal; S3: Evaluate the channel transmission security based on the matching of the signal characteristics of the transmission and receiving channels with the signal characteristics of the interference signals in the scenario; In this embodiment, the channel transmission security assessment in step S3 includes the following specific steps: S31, obtaining the frequency range of various channels of the transmitting end and the receiving end, and obtaining the frequency of the interference signal and the signal strength data in the scene of the receiving end and the transmitting end, and performing interference analysis on the transmission of various channels based on the frequency of the interference signal and the signal strength data in the scene, specifically including the following specific steps: S311, obtaining the frequency of the interference signal and the signal strength data in the transmission scene of the transmission location, and obtaining the frequency range data of various channels; S312, importing the acquired data into a transmission interference analysis value calculation formula to calculate the corresponding channel transmission interference analysis value, wherein the transmission interference analysis value calculation formula for the bth channel is: , where Lb is the frequency range of the bth channel, G is the number of external interference signals, Cl is the frequency of the lth signal in the bth channel, Cgl is the frequency of the gth signal in the interference signal, Dbg is the strength of the gth signal in the interference signal, and Db is the transmission strength of the bth channel, where the lth signal frequency is in the frequency range of the bth channel; In this formula, Represents the phase difference between the frequency of the signal of the bth channel l and the frequency of the gth signal in the interference signal, that is, the more similar the frequencies are, the greater the interference degree is. The impact of the interference signal on the channel transmission is comprehensively analyzed by combining the frequency similarity and the strength of the interference signal; S32, performing channel signal attenuation analysis based on the environmental data of the transmission scenario, the channel signal transmission attenuation and the signal transmission distance, specifically including the following specific steps: Acquire environmental data of the transmission scenario, including environmental data that affect signal transmission, such as temperature, humidity, and obstacles. At the same time, acquire the channel signal transmission attenuation and signal transmission distance to construct a deep learning neural network whose input is the environmental data of the transmission scenario, the channel signal transmission attenuation, and the signal transmission distance data, and whose output is the channel signal attenuation value. Based on the constructed deep learning neural network, derive the signal strength after the corresponding channel signal is attenuated. Divide the receiving security strength of the corresponding channel at the receiving end by the signal strength after the corresponding channel signal is attenuated to obtain the signal attenuation analysis result of the corresponding channel; Exemplarily, the deep learning neural network is constructed by acquiring historical data and historical attenuation data, constructing an initial deep learning neural network, and then dividing the historical data into a training set, a validation set, and a test set to train, validate, and test the initial deep learning neural network, and outputting the parameters of the deep learning neural network that meets the maximum judgment accuracy; this is a conventional technical means for constructing a neural network in the art, and will not be described in detail here; S33, performing channel transmission security analysis based on the channel transmission interference analysis results and signal attenuation analysis results, wherein the b-th channel transmission security analysis formula is: , where Xb is the b-th channel transmission security, Tb is the b-th channel transmission interference analysis value, and Fb is the b-th signal attenuation analysis result. is the weight of channel transmission interference ratio, The weight of the signal attenuation analysis result; Exemplarily, the weight of the channel transmission interference ratio is preferably 0.45, and the weight of the signal attenuation analysis result ratio is preferably 0.55; S4: Perform channel transmission matching analysis based on the transmission signal importance analysis results and channel transmission security assessment results; In this embodiment, the channel transmission matching analysis in step S4 includes the following specific contents: S41, obtaining the channel transmission security of all channels and the transmission signal importance of the signals to be transmitted, and obtaining the transmission matching of the transmission signal and the corresponding channels by dividing the transmission signal importance of each signal to be transmitted by the channel transmission security of each channel; S42, setting a matching standard value, comparing the transmission matching of the transmission signal with the corresponding channels, obtaining the corresponding channel with the smallest difference from the matching standard value among the transmission matching of the transmission signal and the corresponding channels, and setting this channel as the matching channel of the transmission signal; Exemplarily, the matching standard value is set to 0.627, the transmission matching of the transmission signal and the corresponding three channels are 0.136, 0.567 and 0.712 respectively, and the difference between the transmission matching of the transmission signal and the corresponding three channels and the matching standard value is calculated to be: 0.491, 0.06 and 0.085, so that the second channel is set as the matching channel of the transmission signal; S5: switching channel transmission based on the channel transmission matching analysis result; In this embodiment, performing channel transmission switching based on the channel transmission matching analysis result includes the following specific steps: The transmission channel of each transmission signal is obtained, and the transmission signal is switched and transmitted according to the corresponding matching channel.

[0018] It should be noted in the present embodiment that the setting parameters in the present embodiment (such as the weighted weights of each parameter and the set matching standard values, etc.) are obtained by engineers in this field through experiments with historical data. The specific experimental method is: obtaining the signal characteristics of the transmission end and the receiving end channels, and at the same time obtaining the signal characteristics of the interference signal in the scene, and at the same time obtaining the image characteristics to be transmitted and substituting them into the various steps of the present embodiment to perform the matching channel analysis results of the transmission signal, and at the same time obtaining the judgment results of the transmission effect of the transmission signal in different transmission channels, and importing them into the fitting software to output the setting parameter values ​​that meet the judgment accuracy of the maximum transmission effect.

[0019] It should be noted that in this embodiment, the following advantages exist. The importance of the transmission signal is analyzed based on the image features to be transmitted, the signal levels of the transmitter and the receiver. The security of the channel transmission is evaluated based on the matching between the signal features of the transmitter and receiver channels and the signal features of the interference signals in the scenario. The channel transmission matching analysis is performed based on the results of the transmission signal importance analysis and the channel transmission security evaluation. The channel transmission is switched based on the results of the channel transmission matching analysis. The present application performs dynamic switching of the channel transmission according to the importance of the image data and the security of the channel transmission, improving the security and accuracy of the transmission of important data.

[0020] Embodiment 2

[0021] As Figure 4 shown, this embodiment provides an intelligent channel switching evaluation system for image transmission separation based on interference analysis, including: A data acquisition module, which is used to acquire the signal features of the transmitter and receiver channels, simultaneously acquire the signal features of the interference signals in the scenario, and simultaneously acquire the image features to be transmitted; A signal importance analysis module, which performs transmission signal importance analysis based on the image features to be transmitted, the signal levels of the transmitter and the receiver; A transmission security evaluation module, which evaluates the security of the channel transmission based on the matching between the signal features of the transmitter and receiver channels and the signal features of the interference signals in the scenario; A transmission matching analysis module, which performs channel transmission matching analysis based on the results of the transmission signal importance analysis and the channel transmission security evaluation; A transmission switching module, which performs channel transmission switching based on the results of the channel transmission matching analysis; For the parameters, steps for each unit module in the above-mentioned intelligent channel switching evaluation system for image transmission separation based on interference analysis of the present application to achieve corresponding functions, as well as the corresponding effects, reference can be made to the parameters and steps in the embodiment of the intelligent channel switching evaluation method for image transmission separation based on interference analysis in the method embodiment, which will not be elaborated here.

[0022] Embodiment 3

[0023] An electronic device according to an embodiment of the present application includes: a processor and a memory. Among them, a computer program that can be called by the processor is stored in the memory, and the processor executes an intelligent channel switching evaluation method for image transmission separation based on interference analysis by calling the computer program stored in the memory. It should be noted that: all computer programs of the intelligent channel switching evaluation method for image transmission separation based on interference analysis are implemented using the C language.

[0024] Embodiment 4

[0025] This embodiment provides a computer-readable storage medium, on which a rewritable computer program is stored; When the computer program runs on a computer device, it causes the computer device to execute the above-described intelligent channel switching evaluation method for image transmission separation based on interference analysis.

[0026] The various embodiments in this application are all described in a progressive manner. For the parts that are the same or similar among the various embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of the Internet of Things devices and media, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can refer to the partial description of the method embodiments.

[0027] The systems and media provided in the embodiments of this application correspond one-to-one with the methods. Therefore, the systems and media also have beneficial technical effects similar to those of the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media will not be elaborated here.

[0028] Those skilled in the art should understand that the embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) that contain computer-usable program code.

[0029] This application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of this application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one or more flows and / or blocks Figure 1 one or more blocks.

[0030] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in Figure 1 one or more flows and / or blocks Figure 1A function specified in one or more boxes.

[0031] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0032] Memory may include non-permanent storage in a computer-readable medium, in the form of random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.

[0033] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0034] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0035] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. An intelligent channel switching evaluation method for image transmission separation based on interference analysis is characterized in that: The steps include: S1: Acquire the signal characteristics of the transmission end and the receiving end channel, obtain the signal characteristics of the interference signal in the scene, and obtain the image characteristics to be transmitted; S2: Analyze the importance of transmission signals based on the image features to be transmitted, the signal levels of the transmitting end and the receiving end; S3: Evaluate the channel transmission security based on the matching of the signal characteristics of the transmission and receiving channels with the signal characteristics of the interference signals in the scenario; S4: Perform channel transmission matching analysis based on the transmission signal importance analysis results and channel transmission security assessment results; S5: Perform channel transmission switching based on the channel transmission matching analysis result.

2. The method for evaluating image transmission separation intelligent channel switching based on interference analysis according to claim 1 is characterized in that: The transmission signal importance analysis includes the following specific steps: S21, performing image change analysis based on the change between the image to be transmitted and the standard image at the corresponding position, wherein the image change analysis formula is: , where M is the number of image pixels that need to be transmitted, cj is the pixel value of the j-th pixel of the image that needs to be transmitted, and cjt is the pixel value of the j-th pixel of the standard image at the corresponding position; S22, based on the image change analysis results and the signal transmission level from the transmission end to the receiving end, the importance of the transmission signal is analyzed, wherein the transmission signal importance analysis formula is: , where ki is the signal transmission level of the i-th signal in the transmission scenario, kz is the signal transmission level of the z-th signal in the transmission scenario, and N is the number of signals transmitted in the transmission scenario.

3. The method for evaluating image transmission separation intelligent channel switching based on interference analysis according to claim 1 is characterized in that: The channel transmission security assessment includes the following specific steps: S31, obtaining frequency ranges of various channels of the transmitting end and the receiving end, and simultaneously obtaining frequency and signal strength data of interference signals in the scenarios of the receiving end and the transmitting end, and performing interference analysis on transmission of various channels based on the frequency and signal strength data of the interference signals in the scenarios; S32, performing channel signal attenuation analysis based on environmental data of the transmission scenario, channel signal transmission attenuation, and signal transmission distance; S33, performing channel transmission security analysis based on the channel transmission interference analysis results and signal attenuation analysis results, wherein the b-th channel transmission security analysis formula is: , where Xb is the b-th channel transmission security, Tb is the b-th channel transmission interference analysis value, and Fb is the b-th signal attenuation analysis result. is the weight of channel transmission interference ratio, is the weight of the signal attenuation analysis result.

4. The method for evaluating image transmission separation intelligent channel switching based on interference analysis according to claim 3 is characterized in that: The interference analysis specifically includes the following specific steps: S311, obtaining the frequency of the interference signal and the signal strength data in the transmission scene of the transmission location, and obtaining the frequency range data of various channels; S312, importing the acquired data into a transmission interference analysis value calculation formula to calculate the corresponding channel transmission interference analysis value, wherein the transmission interference analysis value calculation formula for the bth channel is: , where Lb is the frequency range of the bth channel, G is the number of external interference signals, Cl is the frequency of the lth signal in the bth channel, Cgl is the frequency of the gth signal in the interference signal, Dbg is the strength of the gth signal in the interference signal, and Db is the transmission strength of the bth channel, where the lth signal frequency is in the frequency range of the bth channel.

5. The method for evaluating image transmission separation intelligent channel switching based on interference analysis according to claim 1 is characterized in that: The channel transmission matching analysis includes the following specific contents: S41, obtaining the channel transmission security of all channels and the transmission signal importance of the signals to be transmitted, and obtaining the transmission matching of the transmission signal and the corresponding channels by dividing the transmission signal importance of each signal to be transmitted by the channel transmission security of each channel; S42, setting a matching standard value, comparing the transmission signal with the transmission matching of each corresponding channel, obtaining the corresponding channel with the smallest difference from the matching standard value among the transmission matching of the transmission signal and each corresponding channel, and setting this channel as the matching channel of the transmission signal.

6. The method for evaluating image transmission separation intelligent channel switching based on interference analysis according to claim 1 is characterized in that: The channel transmission switching based on the channel transmission matching analysis result comprises the following specific steps: The transmission channel of each transmission signal is obtained, and the transmission signal is switched and transmitted according to the corresponding matching channel.

7. The method for evaluating image transmission separation intelligent channel switching based on interference analysis according to claim 1, characterized in that: The method of obtaining the signal characteristics of the transmission end and the receiving end channel, obtaining the signal characteristics of the interference signal in the scene, and obtaining the image characteristics to be transmitted includes the following specific steps: When the drone group is flying, it takes photos of the location that needs to be detected below, and transmits the photos to the receiving end of the receiving component through the drone information transmission end, obtains the signal characteristics of the transmission end and the receiving end channel, including the frequency range of various channels, and obtains the frequency and signal strength data of the interference signal in the scene of the receiving end and the transmission end, and obtains the environmental data of the signal transmission scene; Acquire the image conditions that need to be transmitted, as well as the signal transmission levels of the transmitting and receiving ends, and store the acquired data in the corresponding transmission module.

8. An image transmission separation intelligent channel switching evaluation system based on interference analysis, which is implemented based on the image transmission separation intelligent channel switching evaluation method based on interference analysis according to any one of claims 1 to 7, characterized in that: The system includes: A data acquisition module is used to acquire signal characteristics of the transmission end and the receiving end channels, acquire signal characteristics of interference signals in the scene, and acquire image characteristics to be transmitted; The signal importance analysis module performs transmission signal importance analysis based on the image features to be transmitted, the signal levels of the transmitting end and the receiving end; The transmission security assessment module evaluates the channel transmission security based on the matching of the signal characteristics of the transmission and receiving channels with the signal characteristics of the interference signals in the scene; The transmission matching analysis module performs channel transmission matching analysis based on the transmission signal importance analysis results and channel transmission security assessment results; The transmission switching module performs channel transmission switching based on the channel transmission matching analysis results.

9. An electronic device, comprising: A processor and a memory, wherein the memory stores a computer program that can be called by the processor; characterized in that the processor executes the image transmission separation intelligent channel switching evaluation method based on interference analysis as described in any one of claims 1-7 by calling the computer program stored in the memory.

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