Intelligent Channel Switching Evaluation System and Method for Image Transmission Separation Based on Interference Analysis

Abstract

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. This application analyzes the importance of transmission signals based on the image features to be transmitted, the signal levels of the transmitter and the receiver, evaluates the channel transmission security based on the matching of the signal features of the channels at the transmitter and the receiver and the signal features of the interference signals in the scenario, conducts channel transmission matching analysis based on the results of the transmission signal importance analysis and the channel transmission security evaluation, and performs channel transmission switching based on the results of the channel transmission matching analysis. This application dynamically switches the channel transmission according to the importance of image data and the channel transmission security, improving the security and accuracy of important data transmission.

Description

Technical Field

[0001] This application relates to the technical field of image transmission separation, and particularly to an intelligent channel switching evaluation system and method for image 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.

[0003] 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 position 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.

[0004] In view of the above problems, this application proposes an intelligent channel switching evaluation system and method for image transmission separation based on interference analysis. Summary of the Invention

[0005] 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 of the importance of transmission signals based on the characteristics of the images to be transmitted, the signal levels at the transmitting end and the receiving end, conducts an evaluation of the security of channel transmission based on the matching situation between the signal characteristics of the channels at the transmitting end and the receiving end and the signal characteristics of the interference signals in the scenario, conducts an analysis of the matching of channel transmission based on the results of the analysis of the importance of transmission signals and the evaluation of the security of channel transmission, and conducts a switching of channel transmission based on the results of the analysis of 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, improving the security and accuracy of the transmission of important data.

[0006] To achieve the above object, the present application adopts the following technical solutions:

[0007] In the first aspect, the present application provides an intelligent channel switching evaluation method for image transmission separation based on interference analysis, including the following steps:

[0008] S1: Obtain the signal characteristics of the channels at the transmitting end and the receiving end, simultaneously obtain the signal characteristics of the interference signals in the scenario, and simultaneously obtain the characteristics of the images to be transmitted;

[0009] S2: Conduct an analysis of the importance of transmission signals based on the characteristics of the images to be transmitted, the signal levels at the transmitting end and the receiving end;

[0010] S3: Conduct an evaluation of the security of channel transmission based on the matching situation between the signal characteristics of the channels at the transmitting end and the receiving end and the signal characteristics of the interference signals in the scenario;

[0011] S4: Conduct an analysis of the matching of channel transmission based on the results of the analysis of the importance of transmission signals and the evaluation of the security of channel transmission;

[0012] S5: Conduct a switching of channel transmission based on the results of the analysis of the matching of channel transmission.

[0013] In an implementation manner of the present application, step S1 includes the following specific steps:

[0014] 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 characteristics 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;

[0015] S12. Obtain the situation of the image to be transmitted and the signal transmission level situation 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 of each position on the shooting path is the same, then set all the signal transmission levels to the same level. Store the obtained data in the corresponding transmission module.

[0016] 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:

[0017] S21. Analyze the image change situation based on the change situation between the image 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 cycle or the standard image set by the user according to the change of the corresponding position. Here, the image change situation analysis formula is: , where M is the number of pixel points of the image to be transmitted, cj is the pixel value of the jth pixel point of the image to be transmitted, and cjt is the pixel value of the jth pixel point of the standard image of the corresponding position. In this way, the change situation of the transmission image relative to the standard image situation of the corresponding position is analyzed by comprehensively analyzing the change anomalies of each pixel point of the image;

[0018] 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. Here, the transmission signal importance analysis formula is: , where ki is the signal transmission level of the ith signal in the transmission scene, kz is the signal transmission level of the zth 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 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.

[0019] In an implementation manner of the present application, the evaluation of the channel transmission security in step S3 includes the following specific steps:

[0020] S31. Obtain the frequency ranges of various channels of the transmission end and the receiving end, and 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. Perform 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:

[0021] S311. Obtain the frequencies and signal intensity data of the interference signals in the transmission scene of the transmission position, and at the same time obtain the frequency range data of various channels;

[0022] S312. Import the acquired data into the calculation formula for the transmission interference analysis value to calculate the corresponding channel transmission interference analysis value. The calculation formula for the transmission interference analysis value of the b-th channel is as follows: , where Lb is the frequency range of the b-th channel, G is the number of external interference signals, Cl is the 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. The frequency of the l-th signal is within the frequency range of the b-th channel;

[0023] In this formula, represents the difference value between the 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 impact of the interference signals on the channel transmission is comprehensively analyzed by combining the frequency similarity and the intensity of the interference signals;

[0024] S32. Conduct channel signal attenuation analysis based on the environmental data of the transmission scenario, the channel signal transmission attenuation situation, and the signal transmission distance. The specific steps are as follows:

[0025] 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. Divide the receiving 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;

[0026] S33. Conduct channel transmission security analysis based on the channel transmission interference analysis result and the signal attenuation analysis result. The calculation formula for the transmission security analysis of the b-th channel is as follows: , where Xb is the transmission security of the b-th channel, Tb is the transmission interference analysis value of the b-th channel, Fb is the signal attenuation analysis result of the b-th signal, is the weight of the channel transmission interference ratio, is the weight of the signal attenuation analysis result ratio;

[0027] In an implementation manner of this application, the channel transmission matching analysis in step S4 includes the following specific contents:

[0028] 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 the corresponding channels;

[0029] S42. Set the matching standard value, compare the transmission matching of the transmission signal with that of each corresponding channel, obtain the corresponding channel with the smallest difference from the matching standard value among the transmission matchings of the transmission signal with each corresponding channel, and set this channel as the matching channel of the transmission signal.

[0030] In one implementation manner of the present application, the channel transmission switching based on the channel transmission matching analysis result includes the following specific steps:

[0031] Obtain the transmission channels of each transmission signal, and the transmission signal is switched and transmitted according to the corresponding matching channel.

[0032] In a second aspect, the present application further provides an intelligent channel switching evaluation system for image transmission separation based on interference analysis, including:

[0033] 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;

[0034] 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;

[0035] 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;

[0036] A transmission matching analysis module, which performs channel transmission matching analysis based on the transmission signal importance analysis result and the channel transmission security evaluation result;

[0037] A transmission switching module, which performs channel transmission switching based on the channel transmission matching analysis result.

[0038] In a third aspect, an electronic device provided by the present application includes: a processor and a memory, wherein the memory stores a computer program that can be called by the processor, 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.

[0039] 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 caused to execute the intelligent channel switching evaluation method for image transmission separation based on interference analysis.

[0040] Compared with the prior art, the present application has the following advantages and beneficial effects:

[0041] This application analyzes the importance of transmission signals based on the image features to be transmitted, the signal levels of the transmitting end and the receiving end, evaluates the channel transmission security based on the matching of the signal features of the transmitting end and receiving end channels with the signal features of the interference signals in the scenario, conducts channel transmission matching analysis based on the results of the transmission signal importance analysis and the channel transmission security evaluation, and performs channel transmission switching based on the results of the channel transmission matching analysis. This application dynamically switches the channel transmission according to the importance of the image data and the channel transmission security, improving the security and accuracy of the transmission of important data. Description of the Drawings

[0042] Other features, objects, and advantages of this application will become more apparent by reading the following detailed description of non-limiting embodiments with reference to the accompanying drawings:

[0043] Figure 1 It is a schematic diagram of the overall process flow of the method of this application;

[0044] Figure 2 It is a working flowchart of S3 in the method of this application;

[0045] Figure 3 It is a working flowchart of the interference analysis in the method of this application;

[0046] Figure 4 It is a schematic diagram of the structure of the system of this application. Detailed Embodiments

[0047] The technical solution of this application will be described in detail below with reference to the 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.

[0048] Embodiment 1

[0049] As Figures 1 to 3 shown, this embodiment provides an intelligent channel switching evaluation method for image transmission separation based on interference analysis, which specifically includes the following steps:

[0050] S1: Obtain the signal features of the transmitting end and receiving end channels, simultaneously obtain the signal features of the interference signals in the scenario, and simultaneously obtain the image features to be transmitted;

[0051] In this embodiment, step S1 includes the following specific steps:

[0052] S11. When the drone swarm is flying, it takes photos of the positions to be detected below and transmits them to the receiving end of the receiving component through the drone information transmission end. The signal characteristics of the transmission end and the receiving end channels are obtained, including the frequency ranges of various channels. At the same time, the frequencies and signal intensity data of the interference signals in the scenes of the receiving end and the transmission end are obtained. At the same time, the environmental data of the signal transmission scene is obtained, where the environmental data includes environmental data such as temperature, humidity, and obstacles that affect signal transmission for analyzing the attenuation of various channels;

[0053] Exemplarily, for example, the existing channel attenuation is as shown in the following table:

[0054] ;

[0055] S12. Obtain the situation of the image to be transmitted and the signal transmission level situation of the transmission end and the receiving end. Among them, the signal transmission level is the level of different drone 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. 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. Exemplarily, when shooting farmland occupancy, positions with high density of farmland crops or soil suitable for crop growth can be set as high levels, while positions with low density of farmland crops or soil not suitable for crop growth can be set as low levels. The obtained data is stored in the corresponding transmission module;

[0056] S2: Analyze the importance of the transmission signal based on the image features to be transmitted, the signal levels of the transmission end and the receiving end;

[0057] In this embodiment, the analysis of the importance of the transmission signal in step S2 includes the following specific steps:

[0058] S21. Analyze the image change situation based on the change situation between the image 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 changes of the corresponding position. Among them, the image change situation analysis formula is: , where M is the number of pixel points of the image to be transmitted, cj is the pixel value of the jth pixel point of the image to be transmitted, and cjt is the pixel value of the jth pixel point of the standard image of the corresponding position. In this way, the change situation of the transmission image relative to the standard image situation of the corresponding position is analyzed by comprehensively analyzing the abnormal changes of each pixel point of the image;

[0059] S22. Analyze the importance of the transmission signal based on the analysis result of the image change situation and the signal transmission level from the transmitter to the receiver. Among them, 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, analyze the importance of the transmission signal based on the change situation of the transmitted image relative to the standard image at the corresponding position and the signal transmission level of the signal.

[0060] S3: Evaluate the channel transmission security based on the matching situation between the signal characteristics of the transmitter and receiver channels and the signal characteristics of the interference signals in the scenario.

[0061] In this embodiment, the channel transmission security evaluation in step S3 includes the following specific steps:

[0062] S31. Obtain the frequency ranges of various channels of the transmitter and receiver, and at the same time obtain the frequencies and signal intensity data of the interference signals in the scenarios of the receiver and transmitter. Conduct interference analysis on the transmission of various channels based on the frequencies and signal intensity data of the interference signals in the scenario. The specific steps include the following:

[0063] S311. Obtain the frequencies and signal intensity data of the interference signals in the transmission scenario at the transmission location, and at the same time obtain the frequency range data of various channels.

[0064] S312. Import the obtained data into the calculation formula for the transmission interference analysis value of the corresponding channel to calculate the transmission interference analysis value of the corresponding channel. Among them, the calculation formula for 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 frequency of the l-th signal in the b-th channel, Cgl is the frequency of the g-th signal in the interference signal, Dbg is the intensity of the g-th signal in the interference signal, and Db is the transmission intensity of the b-th channel, where the frequency of the l-th signal is within the frequency range of the b-th channel.

[0065] In this formula, represents the difference value between the frequency of the l-th signal in the b-th channel and the frequency of the g-th signal in the interference signal, that is, the more similar the frequencies of the signals, the greater the interference degree. Comprehensively analyze the impact of the interference signal on the channel transmission by combining the frequency similarity and the intensity of the interference signal.

[0066] S32. Conduct channel signal attenuation analysis based on the environmental data of the transmission scenario, the channel signal transmission attenuation situation, and the signal transmission distance. The specific steps include the following:

[0067] 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 attenuation situation of the channel signal transmission and the signal transmission distance, and construct a deep learning neural network with the environmental data of the transmission scenario, the attenuation situation of the channel signal transmission, 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 strength after the corresponding channel signal attenuation. Divide the received security strength of the corresponding channel at the receiving end by the signal strength after the corresponding channel signal attenuation to obtain the signal attenuation analysis result of the corresponding channel;

[0068] Exemplarily, the construction method of the deep learning neural network is as follows: Obtain historical data and historical attenuation data, construct an initial deep learning neural network, and then divide 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 output the parameters of the deep learning neural network that meet the maximum judgment accuracy rate; This is a conventional technical means for constructing a neural network in this field and will not be elaborated in detail here;

[0069] S33. Conduct 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 transmission security of the b-th channel, Tb is the transmission interference analysis value of the b-th channel, and Fb is the signal attenuation analysis result of the b-th channel, is the weight of the channel transmission interference ratio, is the weight of the signal attenuation analysis result ratio;

[0070] 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;

[0071] S4: Conduct channel transmission matching analysis based on the transmission signal importance analysis result and the channel transmission security evaluation result;

[0072] In this embodiment, the channel transmission matching analysis in step S4 includes the following specific contents:

[0073] S41. Obtain the channel transmission security of all channels and the transmission signal importance of the signal to be transmitted. Divide the transmission signal importance of each signal to be transmitted by the channel transmission security of each channel to obtain the transmission matching degree between the transmission signal and the corresponding channels;

[0074] S42. Set a matching standard value, compare the transmission matching degree between the transmission signal and the corresponding channels, obtain the corresponding channel with the smallest difference from the matching standard value in the transmission matching degree between the transmission signal and the corresponding channels, and set this channel as the matching channel of the transmission signal;

[0075] Exemplarily, the matching standard value is set to 0.627. The transmission matching degrees of the transmission signal with respect to the corresponding three channels are 0.136, 0.567, and 0.712 respectively. Calculate the differences between the transmission matching degrees of the transmission signal with respect to the corresponding three channels and the matching standard value: 0.491, 0.06, and 0.085. In this way, the second channel is set as the matching channel of the transmission signal;

[0076] S5: Perform channel transmission switching based on the channel transmission matching analysis result;

[0077] In this embodiment, performing channel transmission switching based on the channel transmission matching analysis result includes the following specific steps:

[0078] Obtain the transmission channels of each transmission signal, and the transmission signal is switched and transmitted according to the corresponding matching channel.

[0079] It should be noted that in this embodiment, the acquisition methods of the set parameters (such as the weighted weights of each parameter and the set matching standard value, etc.) in this embodiment are obtained by engineers in the field through experiments on historical data. The specific experimental method is: obtain the signal characteristics of the channels at the transmission end and the receiving end, simultaneously obtain the signal characteristics of the interference signals in the scenario, simultaneously obtain the image characteristics to be transmitted, substitute them into each step of this embodiment for the analysis result of the matching channel of the transmission signal, and simultaneously obtain the judgment results of the transmission effects of the transmission signal on different transmission channels, and import them into the fitting software to output the set parameter values that meet the maximum transmission effect judgment accuracy.

[0080] It should be noted that in this embodiment, the following advantages exist. Perform transmission signal importance analysis based on the image characteristics to be transmitted, the signal levels at the transmission end and the receiving end. Perform channel transmission security evaluation based on the matching situation between the signal characteristics of the channels at the transmission end and the receiving end and the signal characteristics of the interference signals in the scenario. Perform channel transmission matching analysis based on the transmission signal importance analysis result and the channel transmission security evaluation result. Perform channel transmission switching based on the channel transmission matching analysis result. This application performs dynamic switching of channel transmission according to the importance degree of image data and channel transmission security, improving the security and accuracy of important data transmission.

[0081] Embodiment 2

[0082] As Figure 4 shown, this embodiment provides an intelligent channel switching evaluation system for image transmission separation based on interference analysis, including:

[0083] A data acquisition module, configured to obtain the signal characteristics of the channels at the transmission end and the receiving end, simultaneously obtain the signal characteristics of the interference signals in the scenario, and simultaneously obtain the image characteristics to be transmitted;

[0084] A signal importance analysis module that performs transmission signal importance analysis based on the image features to be transmitted and the signal levels at the transmitting end and the receiving end;

[0085] A transmission security evaluation module that performs channel transmission security evaluation based on the matching of the signal characteristics of the channels at the transmitting end and the receiving end and the signal characteristics of the interference signals in the scenario;

[0086] A transmission matching analysis module that performs channel transmission matching analysis based on the results of the transmission signal importance analysis and the channel transmission security evaluation results;

[0087] A transmission switching module that performs channel transmission switching based on the results of the channel transmission matching analysis;

[0088] For the parameters and the 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 implement corresponding functions, as well as the corresponding effects, reference can be made to the parameters and steps in the embodiments of the method for intelligent channel switching evaluation for image transmission separation based on interference analysis in the method embodiments, which will not be elaborated here.

[0089] Embodiment 3

[0090] 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 the 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.

[0091] Embodiment 4

[0092] This embodiment proposes a computer-readable storage medium, on which a rewritable computer program is stored;

[0093] When the computer program runs on a computer device, the computer device is enabled to execute the above-mentioned intelligent channel switching evaluation method for image transmission separation based on interference analysis.

[0094] Each embodiment in the present application is described in a progressive manner. For the parts that are the same or similar among the embodiments, reference can be made to each other. The key points of each embodiment are 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.

[0095] The systems, media, and methods provided by the embodiments of the present application correspond one-to-one. Therefore, the systems and media also have beneficial technical effects similar to those of their 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.

[0096] Those skilled in the art should understand that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present 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.) containing computer-usable program code.

[0097] The present 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 the present 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 processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to generate a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices generate means for implementing the specified functions in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0098] 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, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that implement the specified functions in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0099] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0100] The memory may include non-permanent memory in the computer-readable medium, random access memory (RAM), and / or non-volatile memory in the form of, for example, read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0101] A computer-readable medium includes permanent and non-permanent, removable and non-removable media that can implement information storage by any method or technology. The 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 technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic tape disk storage or other magnetic storage devices, or any other non-transitory medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer-readable medium does not include transitory computer-readable media, such as modulated data signals and carrier waves.

[0102] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or apparatus. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising the element.

[0103] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall 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, characterized in that Including the following steps: S1: Obtain the signal characteristics of the channels at the transmitting end and the receiving end, simultaneously obtain the signal characteristics of the interference signals in the scenario, and simultaneously obtain the image characteristics to be transmitted; S2: Conduct an analysis of the importance of the transmission signals based on the image characteristics to be transmitted, the signal levels at the transmitting end and the receiving end; The analysis of the importance of the transmission signals includes the following specific steps: S21. Analyze the image change situation based on the change situation between the image to be transmitted and the standard image situation at the corresponding position. Among them, the image change situation analysis formula is: , where M is the number of pixels of the image to be transmitted, cj is the pixel value of the j-th pixel of the image to be transmitted, and cjt is the pixel value of the j-th pixel of the standard image at the corresponding position; S22. Analyze the importance of the transmission signal based on the analysis result of the image change situation and the signal transmission level from the transmitter to the receiver. Among them, 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; S3: Evaluate the security of channel transmission based on the matching situation between the signal characteristics of the channels at the transmitting end and the receiving end and the signal characteristics of the interference signals in the scenario; S4: Conduct an analysis of the channel transmission matching based on the results of the analysis of the importance of the transmission signals and the results of the evaluation of the security of channel transmission; S5: Perform a channel transmission switch based on the results of the channel transmission matching analysis; 2. The intelligent channel switching evaluation method for image transmission separation based on interference analysis according to claim 1, wherein The evaluation of the security of channel transmission includes the following specific steps: S31: Obtain the frequency ranges of various channels at the transmitting end and the receiving end, simultaneously obtain the frequencies and signal strength data of the interference signals in the scenarios at the receiving end and the transmitting end, and conduct interference analysis on the transmission of various channels based on the frequencies and signal strength data of the interference signals in the scenario; S32: Conduct an analysis of the attenuation of the channel signals based on the environmental data of the transmission scenario, the attenuation of the channel signal transmission, and the signal transmission distance; S33. Perform channel transmission security analysis based on the channel transmission interference analysis results and signal attenuation analysis results. 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 channel. is the proportion weight of channel transmission interference. is the proportion weight of the signal attenuation analysis result.

3. The method for evaluating intelligent channel switching of video transmission separation based on interference analysis according to claim 2, wherein The specific interference analysis includes the following specific steps: S311: Obtain the frequencies and signal strength data of the interference signals in the transmission scenario at the transmission location, and simultaneously obtain the frequency range data of various channels; S312. Import the acquired data into the calculation formula for the transmission interference analysis value to calculate the corresponding channel transmission interference analysis value. The calculation formula for the transmission interference analysis value of the b-th channel is as follows: , where Lb is the frequency range of the b-th channel, G is the number of external interference signals, Cl is the 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 frequency of the l-th signal is within the frequency range of the b-th channel.

4. The method for evaluating intelligent channel switching of image transmission separation based on interference analysis according to claim 1, wherein The analysis of the channel transmission matching includes the following specific contents: S41: Obtain the security of channel transmission of all channels and the importance of the transmission signals of the signals to be transmitted. Divide the importance of the transmission signals of each signal to be transmitted by the security of channel transmission of each channel to obtain the transmission matching degree between the transmission signals and the corresponding channels; S42: Set a matching standard value, compare the transmission matching degree between the transmission signals and the corresponding channels, obtain the corresponding channel with the smallest difference from the matching standard value among the transmission matching degrees between the transmission signals and the corresponding channels, and set this channel as the matching channel of the transmission signals; 5. The intelligent channel switching evaluation method for image transmission separation based on interference analysis according to claim 1, wherein The channel transmission switch based on the results of the channel transmission matching analysis includes the following specific steps: Obtain the transmission channels of each transmission signal, and the transmission signals are switched and transmitted according to the corresponding matching channels; 6. The method for evaluating intelligent channel switching of video transmission separation based on interference analysis according to claim 1, wherein The step of obtaining the signal characteristics of the channels at the transmitting end and the receiving end, simultaneously obtaining the signal characteristics of the interference signals in the scenario, and simultaneously obtaining the image characteristics to be transmitted includes the following specific steps: When the drone 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 drone 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, simultaneously obtain the frequencies and signal strength 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; Obtain the image situation to be transmitted and the signal transmission level situations at the transmitting end and the receiving end, and store the obtained data in the corresponding transmission modules; 7. The intelligent channel switching evaluation system for image transmission separation based on interference analysis is implemented based on the intelligent channel switching evaluation method for image transmission separation based on interference analysis described in any one of claims 1-6, and is characterized in that The system includes: A data acquisition module, configured to acquire the signal characteristics of the channels at the transmitting end and the receiving end, and simultaneously acquire the signal characteristics of the interference signals in the scenario, and also acquire the image characteristics to be transmitted; A signal importance analysis module, configured to perform transmission signal importance analysis based on the image characteristics to be transmitted, and the signal levels at the transmitting end and the receiving end; A transmission security evaluation module, configured to perform channel transmission security evaluation based on the matching condition between the signal characteristics of the channels at the transmitting end and the receiving end and the signal characteristics of the interference signals in the scenario; A transmission matching analysis module, configured to perform channel transmission matching analysis based on the results of the transmission signal importance analysis and the channel transmission security evaluation; A transmission switching module, configured to perform channel transmission switching based on the results of the channel transmission matching analysis.

8. 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 interference analysis-based intelligent channel switching evaluation method for image transmission separation according to any one of claims 1-6 by calling the computer program stored in the memory.

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