Anti-interference wireless image transmission module for surveying and mapping and anti-interference image transmission system

Abstract

The invention discloses an anti-interference wireless image transmission module for surveying and mapping, and the module comprises a module body which is provided with a module heat dissipation mechanism. The module heat dissipation mechanism comprises a heat dissipation transverse plate, a mounting plate is arranged on the heat dissipation transverse plate, a plurality of clamping springs are fixedly mounted on the mounting plate, a clamping plate is slidably mounted on the mounting plate, the clamping springs are fixedly connected with the clamping plate, and the module body is located in the middle of the clamping plate. A plurality of heat transfer plates are fixedly installed on the surface of the side, close to the clamping plate, of the heat dissipation transverse plate, a plurality of heat dissipation plates are fixedly installed on the outer surfaces of the heat transfer plates, heat generated during operation of the module body is rapidly absorbed by the heat absorption plate and conducted to the heat dissipation plates through the heat transfer plates, meanwhile, a micro heat dissipation fan is started, airflow is rapidly discharged through heat dissipation holes, and heat dissipation efficiency is improved. A directional air channel is formed, air convection is accelerated, and efficient heat dissipation of the module body is achieved in cooperation with a large-area fin structure of the heat dissipation plate.

Description

Technical Field

[0001] The present invention belongs to the technical field of wireless communications, and in particular relates to an anti-interference wireless image transmission module and an anti-interference image transmission system for surveying and mapping. Background Art

[0002] The wireless image transmission module is an integrated electronic device component whose core function is to realize real-time transmission and processing of image data through wireless communication technology. In the field of surveying and mapping, the wireless image transmission module plays a key role in obtaining accurate and clear surveying and mapping images.

[0003] Currently, in complex electromagnetic environments, such as in urban areas with high-rise buildings or near industrial plants, interference seriously affects the stability and clarity of image transmission, resulting in deviation or loss of surveying and mapping data. On the other hand, the module quantity and the existing heat dissipation design are inefficient. Heat accumulation not only reduces the performance of the module, but also shortens its service life. Moreover, the traditional module has poor compatibility with the installation equipment. Faced with surveying and mapping equipment of different sizes and structures, the installation and disassembly process is cumbersome, consuming a lot of time and manpower costs, seriously affecting the efficiency and progress of surveying and mapping work. Summary of the Invention

[0004] The purpose of the present invention is to provide an anti-interference wireless image transmission module for surveying and mapping to solve the problems raised in the above background technology.

[0005] In a first aspect, the present invention provides an anti-interference wireless image transmission module for surveying and mapping, comprising: It includes a module body, and the module body is provided with a module heat dissipation mechanism; The module heat dissipation mechanism includes a heat dissipation horizontal plate, a mounting plate is provided on the heat dissipation horizontal plate, a plurality of clamping springs are fixedly installed on the mounting plate, a clamping plate is slidably installed on the mounting plate, and the clamping spring is fixedly connected to the clamping plate. The module body is located in the middle of the clamping plate, and a plurality of heat transfer plates are fixedly installed on the surface of the heat dissipation horizontal plate close to the clamping plate. A plurality of heat transfer plates are fixedly installed on the outer surface of the heat transfer plate, and a heat absorbing plate is fixedly installed on the end of the heat transfer plate away from the heat dissipation horizontal plate, and the heat absorbing plate is fit with the surface of the module body. A mounting screw is slidably inserted into the heat dissipation horizontal plate, and the mounting screw is threadedly inserted into the interior of the mounting plate, and a miniature cooling fan is provided on the mounting plate.

[0006] In a possible implementation of the first aspect, a knob is fixedly mounted on the end of the mounting screw away from the heat dissipation horizontal plate, an adjustment spring is fixedly mounted on the knob, a movable ring is provided on the sliding sleeve of the outer surface of the mounting screw, the end of the adjustment spring away from the knob is fixedly connected to the movable ring, and the adjustment spring is sleeved on the outer surface of the mounting screw.

[0007] In a possible implementation of the first aspect, a threaded hole is provided on the mounting plate, and the mounting screw rod is used in conjunction with the threaded hole.

[0008] In a possible implementation of the first aspect, a limit block is fixedly installed on the clamping plate, and the limit block is used in conjunction with the module body.

[0009] In a possible implementation of the first aspect, a limiting rod is fixedly installed on the heat dissipation horizontal plate, and a limiting hole is provided on the mounting plate away from the micro heat dissipation fan, and the limiting rod and the limiting hole are used in combination.

[0010] In a possible implementation of the first aspect, a heat dissipation hole is opened on the mounting plate away from the micro heat dissipation fan, and the heat dissipation hole is used in conjunction with the micro heat dissipation fan.

[0011] Compared with the prior art, the present invention provides an anti-interference wireless image transmission module for surveying and mapping, which has the following beneficial effects: 1. The heat generated by the operation of the module body is quickly absorbed by the heat absorbing plate and conducted to the heat dissipation plate through the heat transfer plate. At the same time, the micro cooling fan is started, and the air flow is quickly discharged through the heat dissipation holes, forming a directional air duct, accelerating air convection, and cooperating with the large-area fin structure of the heat dissipation plate to achieve efficient heat dissipation of the module body.

[0012] 2. The heat dissipation horizontal plate and the mounting plate of the present invention adopt an adjustable mounting structure. Through the cooperation of the knob and the adjustment spring, they can quickly adapt to module equipment of different sizes, thereby improving the efficiency of disassembly and assembly.

[0013] In a second aspect, the present invention provides an anti-interference image transmission system of an anti-interference wireless image transmission module for surveying and mapping, comprising: a data transmission path planning module, configured to collect electromagnetic interference data in the transmission environment of the module body in real time, analyze interference source location information and interference intensity characteristics in the electromagnetic interference data, determine an interference distribution map in the transmission environment based on the interference source location information, and plan the data transmission path of the module body based on the interference distribution map; a transmission frequency adjustment module, configured to set a frequency adjustment instruction for the module body regarding the data transmission path based on the interference intensity characteristics, and send the frequency adjustment instruction to the wireless transmission module of the module body to perform adjustment control of the image data transmission frequency and monitor the actual transmission bit error rate in the target transmission path in real time; The image transmission module is used to determine the coding strength adjustment parameter of the module body based on the actual transmission bit error rate, and perform image data transmission processing of the module body based on the coding strength adjustment parameter to obtain an image transmission result.

[0014] In a possible implementation of the second aspect, analyzing the interference source location information and interference intensity characteristics in the electromagnetic interference data includes: Performing time-frequency joint sampling processing on the electromagnetic interference data to obtain dimension-reduced interference data; Performing sparse decomposition on the dimension-reduced interference data to obtain sparse feature components; Performing feature enhancement processing on the sparse feature components to obtain enhanced feature components; Identifying the interference source type and modulation mode corresponding to the enhanced characteristic component; Analyzing interference source location information in the reduced-dimensional interference data in combination with the interference source type and the modulation mode; extracting signal strength distribution features from the reduced-dimensional interference data based on the interference location information; Based on the signal strength distribution characteristics, the interference strength characteristics of the dimensionality-reduced interference data are analyzed.

[0015] In a possible implementation manner of the second aspect, determining the interference distribution map in the transmission environment based on the interference source location information includes: Constructing a three-dimensional environment model of the transmission environment, and dividing the environment space of the transmission environment into grid units based on the three-dimensional environment model; Mapping the interference source location information to the environment space grid unit to obtain a marker space grid matrix; Performing interference intensity interpolation processing on the marker space grid matrix to generate an interference intensity distribution surface; Performing multi-frequency interference superposition on the interference intensity distribution surface to obtain an interference intensity heat map; Performing environmental occlusion correction on the interference intensity heat map to obtain an interference distribution map in the transmission environment.

[0016] In a possible implementation of the second aspect, setting, by the module body, a frequency adjustment instruction regarding the data transmission path based on the interference intensity characteristic includes: Performing multi-dimensional analysis on the interference intensity feature to obtain an interference feature vector; determining, based on the interference characteristic vector, an interference avoidance frequency band of the module body with respect to the data transmission path; Acquire historical electromagnetic environment data corresponding to the interference avoidance frequency band, and extract the frequency band interference frequency points and their corresponding frequency point signal-to-noise ratios and frequency point bit error rates from the historical electromagnetic environment data; Combined with the frequency signal-to-noise ratio and the frequency bit error rate, the anti-interference score corresponding to each frequency in the interference avoidance frequency band is calculated using the following formula:

[0017] Among them, A represents the anti-interference score corresponding to each frequency point in the interference avoidance band. represents the signal-to-noise ratio gain weight, Indicates the signal-to-noise ratio of the frequency point b in the interference avoidance band. represents the transmission reliability weight, Indicates the bit error rate of the frequency point b in the interference avoidance band. represents the distance correction weight, Indicates the frequency point b in the interference avoidance band and the frequency point of the interference band The distance attenuation factor; Based on the anti-interference score, selecting a target avoidance frequency point from the interference avoidance frequency band; Based on the target avoidance frequency point, a frequency adjustment instruction of the module body regarding the data transmission path is set.

[0018] It can be seen that the present invention can accurately locate the spatial distribution and energy intensity of the interference source by analyzing the interference source position information and interference intensity characteristics in the electromagnetic interference data, providing a key data basis for subsequent data transmission path planning and anti-interference strategy adjustment. The present invention sets the frequency adjustment instructions of the module body regarding the data transmission path based on the interference intensity characteristics, which can dynamically avoid strong interference frequency bands and form an adaptive frequency switching strategy, thereby reducing the subsequent actual transmission bit error rate. The present invention determines the coding strength adjustment parameters of the module body based on the actual transmission bit error rate, and can dynamically adapt to the channel bit error rate fluctuation characteristics, automatically optimize the combination strategy of the forward error correction code rate and modulation mode, and avoid bandwidth waste caused by excessive coding while resisting sudden interference in real time, thereby achieving coordinated optimization of image data transmission reliability and transmission efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 This is a schematic diagram of the three-dimensional structure of an anti-interference wireless image transmission module for surveying and mapping proposed in one embodiment of the present invention; Figure 2 This is a schematic cross-sectional view of the anti-interference wireless image transmission module for surveying and mapping proposed in one embodiment of the present invention; Figure 3 For the present invention Figure 2 A schematic diagram of the structure enlargement at point A; Figure 4 A schematic diagram of the heat dissipation horizontal plate structure proposed in one embodiment of the present invention; Figure 5This is a schematic diagram of the module body structure proposed in one embodiment of the present invention; Figure 6 A flowchart of an anti-interference image transmission system for an anti-interference wireless image transmission module for surveying and mapping proposed in one embodiment of the invention; In the figure: 1. Module body; 2. Module heat dissipation mechanism; 21. Heat dissipation horizontal plate; 22. Mounting plate; 23. Heat transfer plate; 24. Heat absorption plate; 25. Heat dissipation plate; 26. Clamping plate; 27. Clamping spring; 28. Limit block; 29. ​​Mounting screw; 211. Knob; 212. Movable ring; 213. Adjustment spring; 214. Threaded hole; 215. Micro cooling fan; 216. Limit rod; 217. Heat dissipation hole; 218. Limit hole. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0021] See also Figure 1 , which is a schematic diagram of the three-dimensional structure of the anti-interference wireless image transmission module for surveying and mapping proposed in the present invention, including a module body 1, on which a module heat dissipation mechanism 2 is provided. The module heat dissipation mechanism 2 can effectively dissipate the heat of the module body 1, thereby improving the stability of image transmission of the module body 1.

[0022] See also Figure 2 , is a schematic cross-sectional structure diagram of an anti-interference wireless image transmission module for surveying and mapping proposed in one embodiment of the present invention. The module heat dissipation mechanism 2 includes a heat dissipation horizontal plate 21, on which a mounting plate 22 is provided. A plurality of clamping springs 27 are fixedly mounted on the mounting plate 22. A clamping plate 26 is slidably mounted on the mounting plate 22. The clamping spring 27 is fixedly connected to the clamping plate 26. The module body 1 is located in the middle of the clamping plate 26. A plurality of heat transfer plates 23 are fixedly mounted on the surface of the heat dissipation horizontal plate 21 on the side close to the clamping plate 26. A plurality of heat dissipation plates 25 are fixedly mounted on the outer surface of the heat transfer plate 23. A heat absorption plate 24 is fixedly mounted on the end of the heat transfer plate 23 away from the heat dissipation horizontal plate 21. The heat absorption plate 24 is in contact with the surface of the module body 1. The heat absorption plate 24 is made of a copper alloy with high thermal conductivity and can quickly absorb the heat generated by the module body 1 and transfer it to the heat dissipation plate 25 through the heat transfer plate 23. The large-area fin structure of the heat dissipation plate 25 accelerates air convection to achieve efficient heat dissipation.

[0023] See also Figure 3 , for the present invention Figure 2In the enlarged schematic diagram of the structure at A in the figure, a mounting screw 29 is slidably inserted on the heat dissipation horizontal plate 21, and the mounting screw 29 is threadedly inserted into the interior of the mounting plate 22. A knob 211 is fixedly installed on the end of the mounting screw 29 away from the heat dissipation horizontal plate 21, and an adjustment spring 213 is fixedly installed on the knob 211. A movable ring 212 is slidably sleeved on the outer surface of the mounting screw 29, and the end of the adjustment spring 213 away from the knob 211 is fixedly connected to the movable ring 212, and the adjustment spring 213 is sleeved on the outer surface of the mounting screw 29. The mounting plate 22 is provided with a There is a threaded hole 214, and the mounting screw 29 is used in conjunction with the threaded hole 214. When the knob 211 is turned, the mounting screw 29 drives the mounting plate 22 to move along the heat dissipation cross plate 21 through threaded transmission. At the same time, the adjustment spring 213 can apply elastic pressure to the movable ring 212 to ensure that the mounting plate 22 is firmly fixed after movement to avoid loosening due to vibration. In addition, this structure supports rapid disassembly and assembly of the module body 1. By adjusting the tightness of the knob 211, the spacing of the clamping plates 26 can be flexibly adjusted to adapt to module equipment of different sizes, significantly improving the versatility and installation convenience of the heat dissipation mechanism.

[0024] See also Figure 4 , is a schematic diagram of the heat dissipation horizontal plate structure proposed in an embodiment of the present invention, a micro-heat dissipation fan 215 is provided on the mounting plate 22, a limiting rod 216 is fixedly installed on the heat dissipation horizontal plate 21, and a limiting hole 218 is provided on the mounting plate 22 away from the micro-heat dissipation fan 215, the limiting rod 216 is used in conjunction with the limiting hole 218, and a heat dissipation hole 217 is provided on the mounting plate 22 away from the micro-heat dissipation fan 215, the heat dissipation hole 217 is used in conjunction with the micro-heat dissipation fan 215, when the micro-heat dissipation fan 215 is started, the air flow is quickly discharged through the heat dissipation hole 217, forming a directional air duct, accelerating air convection, and cooperating with the heat conduction effect of the heat absorbing plate 24 and the heat dissipation plate 25, to achieve efficient heat dissipation of the module body 1, while avoiding the influence of heat accumulation on the anti-interference performance of the module.

[0025] See also Figure 5 , is a schematic diagram of the module body structure proposed in one embodiment of the present invention. The module body 1 is provided with multiple modules, such as a wireless transmission module, a processing module, a transmission module, a storage module, etc., which are specifically configured according to the actual application scenario.

[0026] The working principle and use process of the anti-interference wireless image transmission module for surveying and mapping of the present invention are as follows: when in use, a set of clamping plates 26 are moved back to back and placed on both sides of the module body 1. After adjusting to the appropriate position, the clamping plates 26 are clamped on both sides of the module body 1 by the compression elastic force of the clamping spring 27. By rotating the knob 211, the mounting screw 29 rotates in the threaded hole 214, driving the mounting plate 22 to move along the heat dissipation horizontal plate 21. At the same time, the spring 213 is adjusted to apply elastic pressure to the movable ring 212, so that the clamping plate 26 clamps the module body 1 and fixes it. The limit block 28 cooperates with the module body 1 to ensure accurate and stable installation. When the mounting screw 29 moves, the limit rod 216 and the limit hole 2 18 cooperates to further enhance the stability of the mounting plate 22 until the heat absorbing plate 24 is in contact with the surface of the module body 1. During operation, the heat generated by the operation of the module body 1 is quickly absorbed by the heat absorbing plate 24 and conducted to the heat dissipation plate 25 through the heat transfer plate 23. At the same time, the micro cooling fan 215 is started, and the air flow is quickly discharged through the heat dissipation holes 217 to form a directional air duct, which accelerates air convection. Combined with the large-area fin structure of the heat dissipation plate 25, efficient heat dissipation of the module body 1 is achieved. During the heat dissipation process, the stable temperature environment avoids signal distortion and thermal noise interference caused by overheating of the chip in the module, thereby ensuring the stability of the surveying and mapping image transmission, thereby ensuring the accuracy and reliability of the image data during wireless transmission.

[0027] See Figure 6 FIG. 1 is an anti-interference image transmission system of an anti-interference wireless image transmission module for surveying and mapping proposed in one embodiment of the present invention, comprising: The data transmission path planning module 101 is used to collect electromagnetic interference data in the transmission environment of the module body in real time, analyze the interference source location information and interference intensity characteristics in the electromagnetic interference data, determine the interference distribution map in the transmission environment based on the interference source location information, and plan the data transmission path of the module body based on the interference distribution map.

[0028] By analyzing the interference source location information and interference intensity characteristics in the electromagnetic interference data, the present invention can accurately locate the spatial distribution and energy intensity of the interference source, providing a key data basis for subsequent data transmission path planning and anti-interference strategy adjustment. The electromagnetic interference data is the electromagnetic signal strength, frequency component and phase information in the transmission environment collected in real time by the module's built-in spectrum analyzer or external sensor array; the interference source location information is the three-dimensional spatial coordinates of the interference source calculated based on the signal arrival time difference (TDOA), signal strength attenuation model or array antenna direction finding algorithm; the interference intensity characteristics include dynamic parameters such as the power spectrum density, bandwidth range, modulation mode and duration of the interference signal.

[0029] As an embodiment of the present invention, the analyzing the interference source location information and interference intensity characteristics in the electromagnetic interference data includes: Performing time-frequency joint sampling processing on the electromagnetic interference data to obtain dimension-reduced interference data; Performing sparse decomposition on the dimension-reduced interference data to obtain sparse feature components; Performing feature enhancement processing on the sparse feature components to obtain enhanced feature components; Identifying the interference source type and modulation mode corresponding to the enhanced characteristic component; Analyzing interference source location information in the reduced-dimensional interference data in combination with the interference source type and the modulation mode; extracting signal strength distribution features from the reduced-dimensional interference data based on the interference location information; Based on the signal strength distribution characteristics, the interference strength characteristics of the dimensionality-reduced interference data are analyzed.

[0030] Among them, the reduced-dimensional interference data is a low-dimensional data representation containing a time-frequency feature matrix obtained after the electromagnetic interference data is subjected to time-frequency joint sampling processing (for example, the time domain signal is converted into a time-frequency diagram through short-time Fourier transform, and then reduced to a two-dimensional feature matrix through principal component analysis); the sparse feature component is a signal component represented by a linear combination of basis functions after the reduced-dimensional interference data is subjected to sparse decomposition (for example, the reduced-dimensional data is decomposed into a linear combination of several sparse atoms using a dictionary learning algorithm, and each atom corresponds to a specific interference feature); the enhanced feature component is a feature representation that highlights key features and suppresses noise after the sparse feature component is subjected to feature enhancement processing (for example, the sparse features are weighted by the attention mechanism to enhance the interference signal features in the time-frequency domain); the interference source type and the modulation mode are respectively Enhance the interference signal category identifier and modulation mode parameters corresponding to the characteristic component (for example, the interference source type is identified as "radar signal" through the support vector machine classifier, and the modulation mode is determined to be "QPSK" through constellation diagram analysis); the interference source location information is the interference source spatial coordinates obtained after analyzing the reduced dimensionality interference data in combination with the interference source type and the modulation mode (for example, based on the propagation characteristics of the radar signal, the arrival time difference algorithm is used in combination with the multi-base station reception data to calculate that the interference source is located at (100, 200, 30) meters); the signal strength distribution feature is the distribution characteristic of the signal strength at a specific location extracted by the reduced dimensionality interference data based on the interference position information as it varies with space (for example, with the interference source as the center, the signal strength values ​​of each sampling point within a radius of 50 meters are extracted to form a three-dimensional intensity distribution surface).

[0031] Furthermore, the electromagnetic interference data can be subjected to time-frequency joint sampling processing by combining short-time Fourier transform (STFT) with principal component analysis (PCA) to obtain reduced-dimensional interference data (for example, converting a 1024-dimensional time-domain signal into a 64×64 time-frequency matrix and then compressing it into a 32-dimensional feature vector); the reduced-dimensional interference data can be subjected to sparse decomposition by a K-SVD dictionary learning algorithm to obtain sparse feature components (for example, using an overcomplete dictionary to represent the reduced-dimensional data as a linear combination of 50 sparse atoms with a sparsity of 0.1); the sparse feature components can be subjected to feature enhancement processing by a convolutional neural network (CNN) based on an attention mechanism to obtain enhanced feature components (for example, assigning weights to different time-frequency features through a channel attention module to suppress noise features); the interference source type and modulation mode corresponding to the enhanced feature component can be identified by a hybrid algorithm combining a deep learning classifier with traditional feature matching (for example, using a ResNet network to identify the interference type as "pulse radar" and determining the modulation mode as "LFM" through cyclic spectrum analysis); combining the interference source type and the modulation mode, The multi-signal classification (MUSIC) algorithm is combined with particle swarm optimization (PSO) Analyze the interference source location information in the reduced-dimensional interference data (for example, using the spatial spectrum characteristics of the radar signal, optimizing the spectrum peak search of the MUSIC algorithm through PSO, and achieving a positioning error of <5m); based on the interference location information, extract the signal strength value in a spherical neighborhood centered on the positioning point from the reduced-dimensional interference data, and generate a three-dimensional intensity distribution surface through Kriging interpolation (for example, extract the signal strength of 20 sampling points within a radius of 100m, and interpolate to generate an intensity distribution map with a resolution of 5m); based on the signal intensity distribution characteristics, fit the propagation loss model parameters through a back propagation neural network (BPNN) to analyze the interference intensity characteristics of the reduced-dimensional interference data (for example, input a three-dimensional intensity distribution, output the interference source transmission power of 30dBm, and the prediction error is <1.5dB).

[0032] The present invention determines the interference distribution map in the transmission environment based on the interference source position information, can intuitively present the spatial distribution and intensity gradient of the interference source, provide a quantitative decision-making basis for path planning, and plan the data transmission path of the module body based on the interference distribution map, can dynamically avoid high interference areas and optimize link loss, and effectively reduce the bit error rate of subsequent image data transmission in a complex electromagnetic environment, wherein the interference distribution map is a three-dimensional visualization map that integrates the interference source position, intensity and frequency information (the interference intensity is represented by color, and the interference type is distinguished by the shape of the icon), and the data transmission path is a low-interference risk transmission link optimized based on the interference distribution map (preferentially selecting a transmission channel with interference intensity below a threshold and minimum path loss). Furthermore, based on the interference distribution map, a Dijkstra algorithm or a genetic algorithm is used to evaluate all potential transmission paths, and a path with the lowest total interference intensity and the shortest transmission distance is screened out as the data transmission path.

[0033] As an embodiment of the present invention, determining the interference distribution map in the transmission environment based on the interference source location information includes: Constructing a three-dimensional environment model of the transmission environment, and dividing the environment space of the transmission environment into grid units based on the three-dimensional environment model; Mapping the interference source location information to the environment space grid unit to obtain a marker space grid matrix; Performing interference intensity interpolation processing on the marker space grid matrix to generate an interference intensity distribution surface; Performing multi-frequency interference superposition on the interference intensity distribution surface to obtain an interference intensity heat map; Performing environmental occlusion correction on the interference intensity heat map to obtain an interference distribution map in the transmission environment.

[0034] The three-dimensional environment model is a digital three-dimensional geometric representation of the transmission environment, such as a three-dimensional model containing terrain undulations and building outlines constructed by laser point cloud scanning; the environmental space grid unit is a discretized spatial quantization unit of the transmission environment, such as dividing a 10km×10km area into a 100m×100m cube grid; the tag space grid matrix is ​​a matrix storage structure with interference attributes that maps the interference source location information to the environmental space grid unit, such as each element in the matrix records the interference source coordinates and intensity of the corresponding grid (such as [3,5,2] The grid is marked as "2.4GHz interference, -80dBm"); the interference intensity distribution surface is a continuous field strength spatial distribution model obtained after interpolating the interference intensity of the marked space grid matrix, for example, by fitting discrete grid data into a smooth field intensity variation surface through bilinear interpolation; the interference intensity heat map is a visualized interference situation map of the fused frequency characteristics generated by superimposing multiple frequency interferences on the interference intensity distribution surface, for example, the interference intensities of the 2.4GHz and 5GHz frequency bands are superimposed according to weights, and the interference severity of different areas is represented by red-yellow-green gradient colors.

[0035] Furthermore, a three-dimensional environmental model of the transmission environment can be constructed by combining the CAD model with the point cloud data of the environment; based on the three-dimensional environmental model, an equidistant grid division algorithm is used to divide the environmental space grid units of the transmission environment (for example, a 1km×1km area is divided into a 50m×50m×20m cube grid); the interference source location information can be mapped to the environmental space grid unit through a coordinate mapping algorithm to obtain a marked space grid matrix (for example, GPS coordinates (116.4,39.9) are mapped to grid indexes [20,15,3] and the interference intensity is marked as -75dBm); the marked space grid matrix can be interpolated by the Kriging interpolation method Interference intensity interpolation processing is performed to generate an interference intensity distribution surface (for example, a smooth field intensity variation surface is generated by interpolation based on the intensity values ​​of discrete grid points); the interference intensity distribution surface can be subjected to multi-frequency interference superposition using a frequency weight superposition algorithm to obtain an interference intensity heat map (for example, the 2.4GHz interference weight is set to 0.6 and the 5GHz is set to 0.4 to generate a heat map that integrates multi-band interference); the interference intensity heat map can be subjected to environmental occlusion correction using ray tracing combined with an electromagnetic propagation model to obtain an interference distribution map in the transmission environment (for example, the penetration loss of a building for a 2.4GHz signal is calculated to be 10dB, and the interference intensity of the corresponding area in the heat map is corrected).

[0036] The transmission frequency adjustment module 102 is used to set the frequency adjustment instructions of the module body regarding the data transmission path based on the interference intensity characteristics, and send the frequency adjustment instructions to the wireless transmission module of the module body to perform adjustment control of the image data transmission frequency and monitor the actual transmission bit error rate in the target transmission path in real time.

[0037] The present invention sets the frequency adjustment instruction of the module body on the data transmission path based on the interference intensity characteristics, which can dynamically avoid the strong interference frequency band and form an adaptive frequency switching strategy, thereby reducing the subsequent actual transmission bit error rate. The frequency adjustment instruction is a control signal containing the center frequency of the target frequency band and the frequency hopping sequence parameters (for example, the instruction parameters are "center frequency 2.48GHz, frequency hopping interval 5MHz, sequence length 16"), which is used to drive the wireless transmission module to avoid interference in the time domain and frequency domain. The actual transmission bit error rate is the proportion of transmission error code elements calculated in real time by the cyclic redundancy check (CRC) algorithm (in %). If the bit error rate exceeds 1 Frequency reselection is triggered when the frequency is 300 Mbps, which can quantitatively evaluate the transmission quality of the current frequency band. Furthermore, the Viterbi decoder can be used to decode the received data in real time and calculate the bit error rate, providing feedback for frequency adjustment.

[0038] As an embodiment of the present invention, setting the frequency adjustment instruction of the module body regarding the data transmission path based on the interference intensity characteristic includes: Performing multi-dimensional analysis on the interference intensity feature to obtain an interference feature vector; determining, based on the interference characteristic vector, an interference avoidance frequency band of the module body with respect to the data transmission path; Acquire historical electromagnetic environment data corresponding to the interference avoidance frequency band, and extract the frequency band interference frequency points and their corresponding frequency point signal-to-noise ratios and frequency point bit error rates from the historical electromagnetic environment data; Combined with the frequency signal-to-noise ratio and the frequency bit error rate, the anti-interference score corresponding to each frequency in the interference avoidance frequency band is calculated using the following formula:

[0039] Among them, A represents the anti-interference score corresponding to each frequency point in the interference avoidance band. represents the signal-to-noise ratio gain weight, Indicates the signal-to-noise ratio of the frequency point b in the interference avoidance band. represents the transmission reliability weight, Indicates the bit error rate of the frequency point b in the interference avoidance band. represents the distance correction weight, Indicates the frequency point b in the interference avoidance band and the frequency point of the interference band The distance attenuation factor; Based on the anti-interference score, selecting a target avoidance frequency point from the interference avoidance frequency band; Based on the target avoidance frequency point, a frequency adjustment instruction of the module body regarding the data transmission path is set.

[0040] The interference feature vector is a set of structured interference descriptions extracted after multi-dimensional analysis of the interference intensity characteristics (for example, information such as "interference in the 2.4GHz band is strong, interference lasts 10ms, and comes from the northeast direction" is organized into a vector such as [frequency band: 2.4GHz, intensity: -70dBm, direction: 45°]); the interference avoidance frequency band is a relatively "clean" frequency range suitable for transmission that is screened by the module based on the interference feature vector (for example, avoiding the 2.4GHz band with the most severe interference and selecting a frequency band in the 5GHz band with weak interference). The historical electromagnetic environment data is a database of electromagnetic scene information collected in the past corresponding to the interference avoidance frequency band (such as recording the interference situation of the 5GHz frequency band at '18:00 on weekdays' and 'all day on weekends'); the frequency interference frequency point is the specific frequency point in the frequency band where interference has occurred in the historical electromagnetic environment data (for example, in the 5GHz frequency band, 5.1GHz and 5.3GHz were detected to have interference in the past); the frequency point signal-to-noise ratio and frequency point bit error rate are channel quality indicators corresponding to the frequency band interference frequency point (the signal-to-noise ratio of the 5.1GHz frequency is 20dB, and the bit error rate is 10 , representing the signal cleanliness and transmission error probability); the anti-interference score is the anti-interference ability score given to each frequency point in the interference avoidance band; the signal-to-noise ratio gain weight represents the contribution of the signal-to-noise ratio (SNR) to the frequency point anti-interference ability score. The larger the weight, the more inclined to select the frequency point with high signal purity (for example, in image transmission, to reduce noise, the weight can be increased to give priority to the high SNR frequency band); the transmission reliability weight represents the impact of the bit error rate (BER) on transmission stability. The larger the weight, the more attention is paid to the frequency point with fewer data transmission errors (for example, in industrial control scenarios, to avoid data errors, the weight needs to be increased to ensure that the low bit error rate frequency band is given priority); the distance correction weight represents the impact of the proximity of the frequency point to the interference source on the stability of the transmission. The penalty for scoring is determined by the severity of the penalty. A higher weight increases the stricter avoidance of frequencies close to interference sources (in areas of dense interference, increasing this weight forces the system to avoid frequencies near the interference source). The distance attenuation factor (DIF) represents the attenuation of the interference effect of the spatial / frequency distance between the quantified frequency and the interference source. A larger factor indicates a closer distance and a higher interference risk (for example, if a frequency is only 5MHz away from the interference source, this factor will significantly reduce the score). The target avoidance frequencies are the "optimal / suboptimal" frequencies selected from the interference avoidance bands based on the anti-interference score (the highest-scoring frequencies are selected as the preferred frequencies for actual transmission). The entire logic uses historical data and real-time analysis to select the most stable transmission frequency for the image transmission module to avoid interference.

[0041] Furthermore, the interference intensity characteristics can be analyzed in multiple dimensions by wavelet transform combined with principal component analysis (PCA) to obtain an interference feature vector (for example, the time domain interference signal is decomposed into energy distribution in different frequency bands, and then reduced to a 16-dimensional feature vector by PCA); based on the interference feature vector, a deep learning classifier (such as ResNet) is used in combination with a preset interference threshold to determine the interference avoidance frequency band of the module body with respect to the data transmission path (for example, if the classifier identifies that the interference level of the 2.4GHz frequency band is "strong", then the frequency band is avoided and the 5.8GHz candidate frequency band is selected); the historical electromagnetic environment data corresponding to the interference avoidance frequency band can be obtained by querying the spatiotemporal index of the distributed electromagnetic monitoring database (for example, according to the current geographic location and time, query the interference records of the 5.8GHz frequency band in the database in the past 7 days); the frequency band interference frequency points and their corresponding frequency point signal-to-noise ratio and frequency point bit error rate in the historical electromagnetic environment data can be extracted by SQL semantic parsing and data cleaning algorithm (for example, the historical SNR average of the 5.825GHz frequency point is 25dB and the BER average is 10 from the database table). The signal-to-noise ratio gain weight is obtained by iterative optimization of the gradient descent algorithm based on the image transmission quality requirements (for example, in high-definition video transmission, the weight is adjusted with the picture clarity as the optimization target, so that the algorithm focuses on selecting high signal-to-noise ratio frequency bands); the transmission reliability weight is combined with the data transmission fault tolerance requirements in industrial control scenarios and is obtained by cross-mutation using a genetic algorithm (for scenarios where data errors are not allowed, the weight is increased by a genetic algorithm, and low bit error rate frequency bands are given priority); the distance correction weight is obtained by dynamic training of the reinforcement learning DQN network based on the interference source distribution density and signal shielding characteristics (in interference-intensive areas, the DQN network automatically increases the weight through trial and error learning to strictly avoid frequency bands near interference sources); the distance attenuation factor is obtained by simulation calculation using a ray tracing algorithm based on the electromagnetic wave propagation loss model and environmental occlusion parameters (for example Taking into account building penetration loss, it is calculated that for every 10-meter decrease in the distance between a certain frequency point and the interference source, the attenuation factor increases by 0.2. Based on the anti-interference score, a non-dominated sorting genetic algorithm (NSGA-II) combined with dynamic weight optimization is used to screen the target avoidance frequency point from the interference avoidance frequency band (for example, the three frequencies with the highest anti-interference scores in the 5.8 GHz band are optimized to form a candidate set of [5.805 GHz, 5.835 GHz, 5.850 GHz]). Based on the target avoidance frequency point, the frequency point parameters are encoded into an SPI interface command frame (such as a frame header 0xAA + frequency point index + frequency hopping period) to set the module body with a frequency adjustment instruction for the data transmission path (for example, a command frame "0xAA0x030x10" is generated to drive the wireless module to switch to 5.835 GHz with a frequency hopping period of 10 ms).

[0042] The image transmission module 103 is configured to determine a coding strength adjustment parameter of the module body based on the actual transmission bit error rate, and perform image data transmission processing of the module body based on the coding strength adjustment parameter to obtain an image transmission result.

[0043] The present invention determines the coding strength adjustment parameter of the module body based on the actual transmission bit error rate, can dynamically adapt to the channel bit error rate fluctuation characteristics, automatically optimize the combination strategy of forward error correction code rate and modulation mode, while resisting burst interference in real time, avoids bandwidth waste caused by over-coding, and realizes the coordinated optimization of image data transmission reliability and transmission efficiency, wherein the coding strength adjustment parameter is a combination parameter for controlling coding characteristics such as forward error correction (FEC) code rate and modulation order (for example, the parameter set is "code rate 1 / 2, QPSK modulation"), which can be adjusted by changing redundancy and anti-interference The matching relationship between the jamming capability and the transmission efficiency is optimized. Furthermore, based on the actual transmission bit error rate, the preset target bit error rate threshold is first queried and the real-time bit error rate deviation is calculated. Then, combined with the current channel fading degree and the image data resolution level, the combined parameters of the forward error correction code rate and the modulation mode are dynamically matched through an adaptive mapping algorithm. For example, when the bit error rate exceeds the threshold, the coding redundancy is automatically increased, and when the channel quality improves, the coding protection level is reduced to release bandwidth resources. This process continuously senses the bit error rate fluctuation characteristics, balances transmission reliability and bandwidth utilization in real time, and forms a closed-loop adaptive adjustment mechanism.

[0044] Finally, the present invention executes image data transmission processing within the module based on the coding strength adjustment parameters, obtaining an image transmission result. This results in highly reliable image transmission that dynamically adapts to changes in the channel bit error rate. This ensures undistorted images and uninterrupted transmission while intelligently optimizing the allocation of coding and bandwidth resources. Furthermore, based on the coding strength adjustment parameters, adaptive bit rate switching is implemented using a hardware-accelerated LDPC encoder. A multi-level protection mechanism is constructed using Turbo product codes, enabling layered encoding of image data. For example, high-redundancy encoding is used for key frames and motion vectors, while low-redundancy encoding is used for non-key frames. A dynamic retransmission strategy is also enabled to automatically trigger retransmission requests for packets that fail decoding. This process utilizes an FPGA parallel processing unit to achieve microsecond-level coding parameter switching, maintaining a stable video frame rate even with sudden changes in the bit error rate. Measured results show a 2.3dB increase in PSNR, significantly improving subjective visual quality.

[0045] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An anti-interference wireless image transmission module for surveying and mapping, comprising a module body (1), characterized in that: The module body (1) is provided with a module heat dissipation mechanism (2); The module heat dissipation mechanism (2) includes a heat dissipation horizontal plate (21), a mounting plate (22) is provided on the heat dissipation horizontal plate (21), a plurality of clamping springs (27) are fixedly installed on the mounting plate (22), a clamping plate (26) is slidably mounted on the mounting plate (22), the clamping spring (27) is fixedly connected to the clamping plate (26), the module body (1) is located in the middle of the clamping plate (26), and a plurality of clamping springs (27) are fixedly installed on the surface of one side of the heat dissipation horizontal plate (21) close to the clamping plate (26). A heat transfer plate (23), wherein a plurality of heat dissipation plates (25) are fixedly mounted on the outer surface of the heat transfer plate (23), a heat absorption plate (24) is fixedly mounted on one end of the heat transfer plate (23) away from the heat dissipation horizontal plate (21), and the heat absorption plate (24) is in contact with the surface of the module body (1), a mounting screw (29) is slidably inserted on the heat dissipation horizontal plate (21), and the mounting screw (29) is threadedly inserted into the interior of the mounting plate (22), and a micro cooling fan (215) is provided on the mounting plate (22).

2. The anti-interference wireless image transmission module for surveying and mapping according to claim 1, characterized in that: A knob (211) is fixedly mounted on one end of the mounting screw rod (29) away from the heat dissipation horizontal plate (21), an adjusting spring (213) is fixedly mounted on the knob (211), a movable ring (212) is slidably sleeved on the outer surface of the mounting screw rod (29), an end of the adjusting spring (213) away from the knob (211) is fixedly connected to the movable ring (212), and the adjusting spring (213) is sleeved on the outer surface of the mounting screw rod (29).

3. The anti-interference wireless image transmission module for surveying and mapping according to claim 1, characterized in that: A threaded hole (214) is provided on the mounting plate (22), and the mounting screw rod (29) is used in conjunction with the threaded hole (214).

4. The anti-interference wireless image transmission module for surveying and mapping according to claim 1, characterized in that: A limit block (28) is fixedly mounted on the clamping plate (26), and the limit block (28) is used in conjunction with the module body (1).

5. The anti-interference wireless image transmission module for surveying and mapping according to claim 1, characterized in that: A limiting rod (216) is fixedly mounted on the heat dissipation horizontal plate (21), and a limiting hole (218) is provided on the mounting plate (22) away from the micro heat dissipation fan (215), and the limiting rod (216) and the limiting hole (218) are used in conjunction with each other.

6. The anti-interference wireless image transmission module for surveying and mapping according to claim 1, characterized in that: A heat dissipation hole (217) is provided on the mounting plate (22) away from the micro heat dissipation fan (215), and the heat dissipation hole (217) is used in conjunction with the micro heat dissipation fan (215).

7. An anti-interference image transmission system of an anti-interference wireless image transmission module for surveying and mapping, wherein the anti-interference image transmission system is implemented by the anti-interference wireless image transmission module for surveying and mapping according to any one of claims 1 to 6, characterized in that: The system comprises: a data transmission path planning module, configured to collect electromagnetic interference data in the transmission environment of the module body in real time, analyze interference source location information and interference intensity characteristics in the electromagnetic interference data, determine an interference distribution map in the transmission environment based on the interference source location information, and plan the data transmission path of the module body based on the interference distribution map; a transmission frequency adjustment module, configured to set a frequency adjustment instruction for the module body regarding the data transmission path based on the interference intensity characteristics, and send the frequency adjustment instruction to the wireless transmission module of the module body to perform adjustment control of the image data transmission frequency and monitor the actual transmission bit error rate in the target transmission path in real time; The image transmission module is used to determine the coding strength adjustment parameter of the module body based on the actual transmission bit error rate, and perform image data transmission processing of the module body based on the coding strength adjustment parameter to obtain an image transmission result.

8. The system according to claim 7, characterized in that The analyzing the interference source location information and interference intensity characteristics in the electromagnetic interference data includes: Performing time-frequency joint sampling processing on the electromagnetic interference data to obtain dimension-reduced interference data; Performing sparse decomposition on the dimension-reduced interference data to obtain sparse feature components; Performing feature enhancement processing on the sparse feature components to obtain enhanced feature components; Identifying the interference source type and modulation mode corresponding to the enhanced characteristic component; Analyzing interference source location information in the reduced-dimensional interference data in combination with the interference source type and the modulation mode; extracting signal strength distribution features from the reduced-dimensional interference data based on the interference location information; Based on the signal strength distribution characteristics, the interference strength characteristics of the dimensionality-reduced interference data are analyzed.

9. The system according to claim 7, wherein: The determining, based on the interference source location information, an interference distribution map in the transmission environment includes: Constructing a three-dimensional environment model of the transmission environment, and dividing the environment space of the transmission environment into grid units based on the three-dimensional environment model; Mapping the interference source location information to the environment space grid unit to obtain a marker space grid matrix; Performing interference intensity interpolation processing on the marker space grid matrix to generate an interference intensity distribution surface; Performing multi-frequency interference superposition on the interference intensity distribution surface to obtain an interference intensity heat map; Performing environmental occlusion correction on the interference intensity heat map to obtain an interference distribution map in the transmission environment.

10. The system according to claim 7, wherein: The step of setting a frequency adjustment instruction of the module body regarding the data transmission path based on the interference intensity characteristic includes: Performing multi-dimensional analysis on the interference intensity feature to obtain an interference feature vector; determining, based on the interference characteristic vector, an interference avoidance frequency band of the module body with respect to the data transmission path; Acquire historical electromagnetic environment data corresponding to the interference avoidance frequency band, and extract the frequency band interference frequency points and their corresponding frequency point signal-to-noise ratios and frequency point bit error rates from the historical electromagnetic environment data; Combined with the frequency signal-to-noise ratio and the frequency bit error rate, the anti-interference score corresponding to each frequency in the interference avoidance frequency band is calculated using the following formula: Among them, A represents the anti-interference score corresponding to each frequency point in the interference avoidance band. represents the signal-to-noise ratio gain weight, Indicates the signal-to-noise ratio of the frequency point b in the interference avoidance band. represents the transmission reliability weight, Indicates the bit error rate of the frequency point b in the interference avoidance band. represents the distance correction weight, Indicates the frequency point b in the interference avoidance band and the frequency point of the interference band The distance attenuation factor; Based on the anti-interference score, selecting a target avoidance frequency point from the interference avoidance frequency band; Based on the target avoidance frequency point, a frequency adjustment instruction of the module body regarding the data transmission path is set.

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