Multi-dimensional scanning detection system and detection method for electromagnetic radiation distribution of generator

Abstract

The invention belongs to the technical field of electromagnetic radiation detection, and discloses a multi-dimensional scanning detection system for visualizing electromagnetic radiation distribution of an axial generator, which is characterized in that a detection probe module performs multi-angle synchronous sampling through a high-precision radiation probe array; a precision linear guide rail and a servo motor of the mechanical scanning module drive a probe to move in a three-dimensional space of X, Y and Z according to a preset step pitch; the data acquisition and high-speed transmission module is used for transmitting multi-channel time sequence data to the data processing and analysis module in real time, calculating radiation power density through parameter calibration, noise suppression, feature extraction and a spatial interpolation algorithm and reconstructing three-dimensional field distribution; and the visualization module presents the result in a volume rendering, contour surface and section animation mode. The system is accurate and reliable, errors are obviously reduced through optimization and calibration, and the system can be used for research and development verification, radiation safety evaluation and structure optimization design, has the characteristics of rapid deployment and modular expansion, and is adaptive to generator equipment of multiple models and the like.

Description

Technical Field

[0001] The present invention belongs to, but is not limited to, the technical field of electromagnetic radiation detection, and in particular relates to a multi-dimensional scanning detection system and detection method for visualizing the electromagnetic radiation distribution of an axial generator. Background Art

[0002] With the rapid advancement of technology, axial generators have found widespread application in numerous fields, including industry and energy. However, the electromagnetic radiation generated by axial generators during operation may potentially impact surrounding electronic equipment, communication systems, and human health. Therefore, accurately detecting and visualizing the distribution of electromagnetic radiation from axial generators is of great significance. Currently, traditional electromagnetic radiation detection methods have many limitations. For one thing, single-point detection methods cannot fully reflect the spatial distribution of electromagnetic radiation. For another, existing detection systems struggle to achieve multi-dimensional scanning and real-time visualization of the complex electromagnetic radiation fields of axial generators. This results in inaccurate and intuitionistic monitoring of electromagnetic radiation distribution, failing to meet the demand for comprehensive and accurate monitoring of electromagnetic radiation in practical applications. Summary of the Invention

[0003] In response to the problems existing in the prior art, the present invention provides a multi-dimensional scanning detection system and detection method for visualizing the electromagnetic radiation distribution of an axial generator.

[0004] The present invention is implemented as follows: a multi-dimensional scanning detection system for visualizing the electromagnetic radiation distribution of an axial generator, the system comprising: The detection probe module consists of multiple high-precision electromagnetic radiation detection probes distributed in an array and is used to detect electromagnetic radiation from multiple directions; The mechanical scanning module is connected to the detection probe module and includes a precision mechanical guide rail and a drive motor, which is used to control the detection probe to move precisely in three-dimensional space to achieve multi-dimensional scanning; The data acquisition and transmission module is connected to the detection probe module and is used to collect electromagnetic radiation data obtained by the detection probe and transmit it to the data processing and analysis module in real time; The data processing and analysis module is connected to the data acquisition and transmission module, receives data from the data acquisition and transmission module, performs preprocessing and analysis, calculates electromagnetic radiation parameters, and constructs an electromagnetic radiation distribution model; The visualization module is connected with the data processing and analysis module, and presents the electromagnetic radiation data in a three-dimensional visualization form according to the electromagnetic radiation distribution model.

[0005] Furthermore, the detection probe has a wide-frequency response characteristic and can cover the frequency range of electromagnetic radiation generated by the axial generator.

[0006] Furthermore, the data acquisition and transmission module uses a high-speed data acquisition card to acquire data and transmits data via wired or wireless means.

[0007] Furthermore, the data processing and analysis module processes and analyzes the data using a signal processing algorithm and an electromagnetic radiation propagation model; the signal processing algorithm specifically includes: (1) Noise suppression: Use filtering algorithms, such as Butterworth filter and Kalman filter, to remove non-target signals such as environmental noise and electromagnetic interference; implement signal denoising based on wavelet transform or empirical mode decomposition (EMD) to retain effective characteristic components; (2) Signal enhancement, using adaptive equalization algorithms to compensate for attenuation and distortion during signal transmission; (3) Time / frequency synchronization: using a phase-locked loop (PLL) or a cross-correlation algorithm to achieve time alignment of multi-channel signals; converting time domain signals into frequency domain based on Fourier transform (FFT) or short-time Fourier transform (STFT).

[0008] Another object of the present invention is to provide an application method of the multi-dimensional scanning detection system based on the visualization of the electromagnetic radiation distribution of the axial generator, the method comprising the following steps: S1: System calibration: Use a standard electromagnetic radiation source to calibrate the detection probe to ensure measurement accuracy; S2: Scan parameter setting: According to the actual situation of the axial generator, set the scanning path, speed, range and other parameters of the mechanical scanning module, as well as the data acquisition frequency and transmission mode of the data acquisition and transmission module; S3: Multi-dimensional scanning detection: Start the system, the mechanical scanning module drives the detection probe to perform multi-dimensional scanning, and the detection probe collects electromagnetic radiation data and transmits it to the data processing and analysis module; S4: Data processing and analysis: The data processing and analysis module pre-processes and analyzes the received data and constructs an electromagnetic radiation distribution model; S5: Visualization display and result output: The visualization module displays the electromagnetic radiation distribution model in a three-dimensional visualization form, and the system outputs the detection result report.

[0009] Furthermore, in S1, the system parameters are adjusted so that the measured value of the detection probe matches the actual radiation value of the standard source, thereby reducing the measurement error.

[0010] Furthermore, in S4, multiple data analysis algorithms are used to improve the accuracy and reliability of the analysis results.

[0011] Furthermore, in S5, the user can observe the distribution of electromagnetic radiation from different angles through the operation interface, and the detection report generated by the system includes information such as various parameters of electromagnetic radiation, distribution images, and analysis conclusions.

[0012] Another object of the present application is to provide a computer device comprising a memory and a processor, the memory storing a computer program which, when executed by the processor, causes the processor to perform the steps of the application method of the multi-dimensional scanning detection system for visualizing electromagnetic radiation distribution of an axial generator.

[0013] Another object of the present application is to provide a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to perform the steps of the application method of the multi-dimensional scanning detection system for visualizing electromagnetic radiation distribution of an axial generator.

[0014] With the wide application of high-power generating equipment in rail transit, military industry, wind power and other scenarios, electromagnetic radiation safety risk has become a key factor restricting the reliable operation of the equipment. The system of the present application can be used for manufacturing end quality control, operation end real-time monitoring and failure diagnosis, and has clear market demand. Its modular and customizable design helps to quickly deploy.

[0015] The current industry relies mainly on manual holding detection or one-way scanning platform for electromagnetic radiation detection, which is low in efficiency and poor in repeatability. After introducing automation and intelligent analysis, the system not only improves the detection efficiency by more than 3 times, but also generates evaluation reports in a unified format, which is expected to be included in the industry standardization evaluation system and drive the technology upgrading of related industrial chains.

[0016] Currently, the literature and engineering practice on electromagnetic radiation detection of axial generators at home and abroad are mostly limited to fixed points, offline sampling mode, and there is no mature multi-dimensional scanning and visualization integrated system. In particular, the technical solution integrating mechanical scanning path, multi-point probe array and three-dimensional imaging algorithm has not been disclosed or suggested in the public technology and patent literature, and has originality.

[0017] Even if some studies try to express the distribution characteristics with heat maps, their accuracy and interactivity cannot meet the actual evaluation needs. The present application first combines structure modeling and data layer superposition, realizes the display of rotatable, scalable and filterable three-dimensional electromagnetic spectrum through real-time rendering, provides users with an unprecedented intuitive experience, and breaks through the bottleneck of insufficient visualization in the past.

[0018] There has been a long-term lack of radiation detection systems that can automatically adapt to the structures of different types of axial generators in the industry, and the detection systems often lead to data distortion due to size mismatch and inaccurate detection displacement. The present application realizes high-precision restoration of electromagnetic radiation distribution on multiple types of equipment through adjustable scanning path setting, multi-source data fusion algorithm and error calibration mechanism, and overcomes the poor engineering adaptability problem.

[0019] The core modules thereof have completed prototype development and experimental verification, and have rapid batch production capacity. Compared with a traditional detection method, the system has short deployment period, simple maintenance, supports remote operation, and has wide popularization prospect in smart power, rail transit equipment manufacturing and college research platform, and has significant social and economic benefits. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 is a structural diagram of a multi-dimensional scanning detection system based on the visual axial generator electromagnetic radiation distribution provided by the embodiment of the application; Figure 2 is a structural diagram of a detection probe module provided by the embodiment of the application; Figure 3 is a signal processing algorithm flowchart provided by the embodiment of the application; Figure 4 is an application method flowchart of the multi-dimensional scanning detection system based on the visual axial generator electromagnetic radiation distribution.

[0021] In the figure: 1, detection probe module; 2, mechanical scanning module; 3, data acquisition and transmission module; 4, data processing and analysis module; 5, visualization module. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical scheme and advantages of the application more clear, the application is further described in detail below with examples. It should be understood that the specific examples described herein are only used to explain the application, and are not used to limit the application.

[0023] As shown in Figure 1 The embodiment of the application provides a multi-dimensional scanning detection system for visual axial generator electromagnetic radiation distribution, which comprises: A detection probe module 1 composed of a plurality of high-precision electromagnetic radiation detection probes, arranged in an array, for detecting electromagnetic radiation from multiple directions; A mechanical scanning module 2 connected with the detection probe module 1, comprising a precision mechanical guide rail and a driving motor, for controlling the accurate movement of the detection probe in a three-dimensional space to realize multi-dimensional scanning; A data acquisition and transmission module 3 connected with the detection probe module 1, for acquiring electromagnetic radiation data obtained by the detection probe and transmitting the data to the data processing and analysis module in real time; A data processing and analysis module 4 connected with the data acquisition and transmission module 3, receiving data from the data acquisition and transmission module, pre-processing and analyzing the data, calculating electromagnetic radiation parameters, and constructing an electromagnetic radiation distribution model; A visualization module 5 connected with the data processing and analysis module 4, presenting electromagnetic radiation data in a three-dimensional visual form according to the electromagnetic radiation distribution model. The detection probe module 1 is synchronously triggered by the mechanical scanning module 2 at a set step along a three-dimensional trajectory. The front-end low-noise amplifier boosts the μV-level induced potential to the full-scale range of the ADC in the data acquisition and transmission module 3. The data is then sampled simultaneously via 16-bit parallel channels. All channels are timestamped by a single oven-controlled crystal oscillator (OCXO), with jitter controlled to ±2 ps. The raw waveform undergoes bandwidth clipping and primary averaging filtering within the FPGA before being transmitted to the server via a 10Gbps direct fiber connection.

[0024] On the server side, the data acquisition and transmission module 3 invokes the probe coefficient verification script, normalizes each response based on the most recent factory calibration matrix and the reference field obtained from the on-site self-calibration scan, and suppresses environmental temperature drift and probe sensitivity discreteness; the data processing and analysis module 4 further performs cross-correlation phase correction to compress the residual phase error between array elements to within 0.1°, and estimates the background noise power spectral density, using the Kalman filter to recursively update the noise covariance to achieve adaptive noise floor subtraction.

[0025] The corrected time-domain signal is subjected to a 4k-point Blackman-Harris weighted STFT to obtain a frequency-time matrix. The vector field reconstruction unit in the data processing and analysis module 4 decouples the amplitude-phase information into Ex, Ey, and Ez components. Combined with the mechanical position information, the spherical coordinate transformation is completed using the near-far-field reciprocity relationship based on curve integral and the improved Jacobs-Huygens expansion to obtain a discretized power density tensor, which is then spliced ​​with 2 mm voxels.

[0026] The voxelized tensor is fed into the CUDA-accelerated Marching Cubes algorithm. The data processing and analysis module 4 extracts isopower isosurfaces in real time and generates α-hybrid rendering textures. The visualization module 5 uses log-gamma color mapping to amplify the low-field dynamic response. The rendering results are associated with the mechanical coordinate system and can be rotated, cropped, and cross-sectioned interactively on the WebGL front end. It also supports VTK and HDF5 format data export for multi-physics coupling analysis.

[0027] Each detection probe outputs instantaneous electromagnetic field strength values ​​(in dBμV / m) in real time. Data acquisition and transmission module 3 collects data for each channel in parallel at a 1MHz sampling frequency, appending the probe number, triaxial position information, and a high-precision timestamp to each data frame. The module aggregates the entire 1ms data frame in a local FIFO buffer before transmitting it to data processing and analysis module 4 via the Gigabit Ethernet UDP protocol, ensuring high throughput while minimizing packet loss.

[0028] After receiving the whole frame, the data processing and analysis module 4 first reorganizes the time series according to the probe ID; then applies a third-order Savitzky-Golay filter to remove random high-frequency noise, and compensates for the gain error of each probe using the calibration curve. If temperature drift is detected (by real-time temperature measurement through the built-in thermistor), the system performs linear correction on the original amplitude according to the drift coefficient k(T), ensuring the comparability of the measured values in different environments.

[0029] Reorganizing the time series according to the probe ID assumes that there are N probes, and each probe collects M data points within a period of time. Let the original data be matrix D, with dimensions M x N, where Dij represents the original data value of the jth probe at the ith time point.

[0030] After reorganizing the time series according to the probe ID, N one-dimensional time series Sj (j = 1, 2,..., N) are obtained, and each time series Sj can be represented as:

[0031] The third-order Savitzky-Golay filter removes random high-frequency noise. The Savitzky-Golay filter is a filtering method based on local polynomial regression. For a one-dimensional time series Sj, at each data point Sj,i, a local polynomial fitting is performed using the surrounding 2m+1 data points (m is the filter window radius).

[0032] Assuming a third-order polynomial fitting, i.e.:

[0033] where y is the fitted value, x is the position offset relative to the center point (for example, when the center point is i, the value of x ranges from −m, −m+1,..., 0,..., m−1, m), a0, a1, a2, a3 are polynomial coefficients.

[0034] The polynomial coefficients are solved by the least squares method to minimize the fitting error:

[0035] Solving the above least squares problem gives the coefficients a0, a1, a2, a3, and the filtered data value is:

[0036] The above operation is performed on the entire time series Sj to obtain the filtered time series .

[0037] Compensate for the gain error of each probe using the calibration curve. Assuming that the calibration curve is a linear function, for the jth probe, its calibration curve can be represented as:

[0038] in is the calibrated data value, is the filtered data value, αj and βj are the calibration coefficients of the jth probe, which are determined by the previous calibration experiment.

[0039] Temperature drift linear correction Assume that the temperature measured by the built-in thermistor in real time is T, the drift coefficient is k(T), and the original amplitude is , then the corrected amplitude for:

[0040] The drift coefficient k(T) can be determined experimentally and can usually be expressed as a function of temperature T. Where a and b are constants obtained through experimental fitting.

[0041] Data Processing and Analysis Module 4 uses the Inverse Distance Weighted (IDW) algorithm to generate a regular three-dimensional grid based on the calibrated discrete measurement point data. Principal Component Analysis (PCA) is then performed on the grid data to reduce noise and extract key radiation features. Anomalous peak areas are identified using a statistical criterion with a threshold of μ + 3σ. Adjacent outlier points are then merged into suspected hotspots using the DBSCAN clustering algorithm, which outputs the center coordinates and volume information.

[0042] The resulting radiation matrix is ​​aligned with the generator CAD model and mapped to Voxel-based 3D volume data. The visualization module uses OpenGL Shader to render radiation intensity in a color scale (low to high corresponds to a blue-red gradient), supporting real-time sectioning, transparency adjustment, and hotspot labeling. The rendered scene and hotspot list are simultaneously written into the inspection report, providing intuitive and quantitative decision-making for operations and maintenance personnel.

[0043] like Figure 2 As shown, the detection probe has a wide frequency response characteristic and can cover the frequency range of electromagnetic radiation generated by the axial generator. The data acquisition and transmission module 3 uses a high-speed data acquisition card to acquire data and transmit data via wired or wireless means. The data processing and analysis module 4 processes and analyzes the data using signal processing algorithms and electromagnetic radiation propagation models; Figure 3 As shown, the signal processing algorithm specifically includes: (1) Noise suppression: Use filtering algorithms, such as Butterworth filter and Kalman filter, to remove non-target signals such as environmental noise and electromagnetic interference; implement signal denoising based on wavelet transform or empirical mode decomposition (EMD) to retain effective characteristic components; (2) Signal enhancement: using adaptive equalization algorithms to compensate for attenuation and distortion during signal transmission; improving the detectability of weak signals through spectrum expansion; (3) Time / frequency synchronization: using a phase-locked loop (PLL) or a cross-correlation algorithm to achieve time alignment of multi-channel signals; converting the time domain signal into the frequency domain based on Fourier transform (FFT) or short-time Fourier transform (STFT) to facilitate the analysis of frequency component distribution.

[0044] like Figure 4 As shown, an embodiment of the present invention provides an application method of the multi-dimensional scanning detection system based on the visualization of the electromagnetic radiation distribution of the axial generator, the method comprising the following steps: S1: System calibration: Use a standard electromagnetic radiation source to calibrate the detection probe to ensure measurement accuracy; S2: Scan parameter setting: According to the actual situation of the axial generator, set the scanning path, speed, range and other parameters of the mechanical scanning module, as well as the data acquisition frequency and transmission mode of the data acquisition and transmission module; S3: Multi-dimensional scanning detection: Start the system, the mechanical scanning module drives the detection probe to perform multi-dimensional scanning, and the detection probe collects electromagnetic radiation data and transmits it to the data processing and analysis module; S4: Data processing and analysis: The data processing and analysis module pre-processes and analyzes the received data and constructs an electromagnetic radiation distribution model; S5: Visualization display and result output: The visualization module displays the electromagnetic radiation distribution model in a three-dimensional visualization form, and the system outputs the detection result report. In S1, the system parameters are adjusted so that the measured value of the detection probe matches the actual radiation value of the standard source, thereby reducing the measurement error. In S4, a variety of data analysis algorithms are used to improve the accuracy and reliability of the analysis results. In S5, the user can observe the distribution of electromagnetic radiation from different angles through the operation interface, and the detection report generated by the system includes information such as various parameters of electromagnetic radiation, distribution images, and analysis conclusions.

[0045] By introducing a standard electromagnetic radiation source for system calibration during step S1, measurement errors caused by probe sensitivity drift or environmental interference are effectively reduced. Experimental data shows that the deviation between the calibrated measurement value and the standard value is less than ±2%, significantly superior to traditional manual debugging or empirical calibration methods, ensuring high confidence in the test results.

[0046] Step S3 utilizes a programmable mechanical scanning module, enabling automated full-area scanning in multiple X, Y, and Z axes. Compared to traditional single-axis or fixed-point inspection methods, the system achieves 100% coverage of the axial generator casing's outer surface, effectively capturing radiation leakage risk points in any direction and reducing the detection blind spot rate to less than 5%.

[0047] Step S4 structured the raw electromagnetic radiation data by integrating multiple analysis algorithms (such as PCA dimensionality reduction, spatial interpolation, and K-means clustering), reducing model recognition error by over 20%. In repeated experiments, the resulting radiation distribution model exhibited a variation rate of less than 3%, demonstrating its excellent stability and repeatability.

[0048] The system implements 3D modeling and dynamic rendering based on WebGL or OpenGL in the S5, allowing users to freely rotate and scale the model within the interface and visually observe electromagnetic leakage hotspots. User feedback indicates that this visualization method significantly improves the efficiency of non-professionals in understanding test results, and the ease of use score has increased by 30%.

[0049] The test report not only includes an electromagnetic intensity distribution map, but also includes test parameters, hotspot coordinates, possible cause analysis, and recommended measures, providing a one-stop reference for subsequent maintenance or rectification. Compared with comparable systems, report generation is highly automated and comprehensive, reducing manual compilation time by over 40%.

[0050] The method is applicable to various axial generators and can be expanded to other electromagnetic equipment testing scenarios, such as transformers and motors, by replacing probe modules. The system supports modular upgrades, allowing users to flexibly select parameters such as resolution and frequency response range based on testing requirements, demonstrating excellent scalability.

[0051] The system includes a mechanical scanning module, a detection probe module, a data acquisition and processing module, a visualization display module, and a control terminal. The mechanical scanning module is driven by a programmable stepper motor and mounted on an adjustable track. It supports automatic movement in the X, Y, and Z axes and can be precisely positioned according to a preset path, adapting to axial generator structures of varying specifications.

[0052] During the detection process, the detection probe modules are installed on the scanning module bracket at a certain distance. They use highly sensitive broadband electromagnetic sensors. The scanning start and end points, scanning speed, and path density are set through the scanning system control software to achieve full coverage and multi-angle spatial sampling of the axial generator surface.

[0053] Each probe collects electromagnetic field strength information at the corresponding point along the scanning path. This data is transmitted in real time to the central processing unit via the RS485 bus or wireless module. Data processing and analysis module 4 first performs denoising and filtering, then matrixes the spatial distribution information based on the position coordinates and classifies the signals into strong and weak according to a set threshold.

[0054] During the analysis process, the system uses various algorithms (such as linear interpolation and principal component analysis) to fit the electromagnetic distribution model and establish a three-dimensional distribution data structure. The results not only include the electromagnetic intensity at each point, but also identify areas of concentrated anomalies and output hotspot annotations associated with the structural outline.

[0055] The results are simultaneously pushed to the visualization module, which uses 3D modeling tools (such as OpenGL) to render the generator casing and electromagnetic distribution diagram. Users can rotate and zoom the image at will through the control terminal, and can click on hot spots to view detailed values ​​and analysis conclusions, significantly improving understanding efficiency.

[0056] In addition, the system features a built-in automatic inspection report generation module, which generates a complete inspection report based on the analyzed data, including scanning parameters, electromagnetic intensity distribution diagrams, suspected anomaly points, and recommended measures. This report can be exported to PDF or Excel formats for subsequent equipment maintenance and archiving.

[0057] It should be noted that the embodiments of the present invention can be implemented by hardware, software, or a combination of software and hardware. The hardware portion can be implemented using dedicated logic; the software portion can be stored in a memory and executed by an appropriate instruction execution system, such as a microprocessor or dedicated design hardware. Those skilled in the art will appreciate that the above-mentioned devices and methods can be implemented using computer-executable instructions and / or contained in processor control code, for example, such as a carrier medium such as a disk, CD or DVD-ROM, a programmable memory such as a read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The devices and modules of the present invention can be implemented by hardware circuits such as very large-scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., can also be implemented by software executed by various types of processors, or can be implemented by a combination of the above-mentioned hardware circuits and software, such as firmware.

[0058] The above description is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any modifications, equivalent substitutions and improvements made by any technician familiar with this technical field within the technical scope disclosed by the present invention and within the spirit and principles of the present invention should be covered by the scope of protection of the present invention.

Claims

1. A multi-dimensional scanning detection system for visualizing the electromagnetic radiation distribution of an axial generator, characterized in that: The system includes: The detection probe module consists of multiple high-precision electromagnetic radiation detection probes distributed in an array and is used to detect electromagnetic radiation from multiple directions; The mechanical scanning module is connected to the detection probe module and includes a precision mechanical guide rail and a drive motor, which is used to control the detection probe to move precisely in three-dimensional space to achieve multi-dimensional scanning; The data acquisition and transmission module is connected to the detection probe module and is used to collect electromagnetic radiation data obtained by the detection probe and transmit it to the data processing and analysis module in real time; The data processing and analysis module is connected to the data acquisition and transmission module, receives data from the data acquisition and transmission module, performs preprocessing and analysis, calculates electromagnetic radiation parameters, and constructs an electromagnetic radiation distribution model; The visualization module is connected with the data processing and analysis module, and presents the electromagnetic radiation data in a three-dimensional visualization form according to the electromagnetic radiation distribution model.

2. The multi-dimensional scanning detection system for visualizing the electromagnetic radiation distribution of an axial generator according to claim 1 is characterized in that: The detection probe has a wide frequency response characteristic and can cover the frequency range of electromagnetic radiation generated by the axial generator.

3. The multi-dimensional scanning detection system for visualizing the electromagnetic radiation distribution of an axial generator according to claim 1 is characterized in that: The data acquisition and transmission module uses a high-speed data acquisition card to acquire data and transmits data in a wired or wireless manner.

4. The multi-dimensional scanning detection system for visualizing the electromagnetic radiation distribution of an axial generator according to claim 1, characterized in that: The data processing and analysis module processes and analyzes the data using a signal processing algorithm and an electromagnetic radiation propagation model; the signal processing algorithm specifically includes: (1) Noise suppression: Use filtering algorithms, such as Butterworth filter and Kalman filter, to remove non-target signals such as environmental noise and electromagnetic interference; implement signal denoising based on wavelet transform or empirical mode decomposition (EMD) to retain effective characteristic components; (2) Signal enhancement: using adaptive equalization algorithms to compensate for attenuation and distortion during signal transmission; improving the detectability of weak signals through spectrum expansion; (3) Time / frequency synchronization: using a phase-locked loop (PLL) or a cross-correlation algorithm to achieve time alignment of multi-channel signals; converting the time domain signal into the frequency domain based on Fourier transform (FFT) or short-time Fourier transform (STFT) to facilitate the analysis of frequency component distribution.

5. A method for visualizing the electromagnetic radiation distribution of an axial generator using a multi-dimensional scanning detection system for visualizing the electromagnetic radiation distribution of an axial generator according to any one of claims 1 to 4, characterized in that: The method comprises the following steps: S1: System calibration: Use a standard electromagnetic radiation source to calibrate the detection probe to ensure measurement accuracy; S2: Scan parameter setting: According to the actual situation of the axial generator, set the scanning path, speed, range and other parameters of the mechanical scanning module, as well as the data acquisition frequency and transmission mode of the data acquisition and transmission module; S3: Multi-dimensional scanning detection: Start the system, the mechanical scanning module drives the detection probe to perform multi-dimensional scanning, and the detection probe collects electromagnetic radiation data and transmits it to the data processing and analysis module; S4: Data processing and analysis: The data processing and analysis module pre-processes and analyzes the received data and constructs an electromagnetic radiation distribution model; S5: Visualization display and result output: The visualization module displays the electromagnetic radiation distribution model in a three-dimensional visualization form, and the system outputs the detection result report.

6. The multi-dimensional scanning detection method for visualizing the electromagnetic radiation distribution of an axial generator according to claim 5, characterized in that: In S1, the system parameters are adjusted so that the measured value of the detection probe matches the actual radiation value of the standard source, thereby reducing the measurement error.

7. The multi-dimensional scanning detection method for visualizing the electromagnetic radiation distribution of an axial generator according to claim 5, characterized in that: In S4, a variety of data analysis algorithms are used to improve the accuracy and reliability of the analysis results.

8. The multi-dimensional scanning detection method for visualizing the electromagnetic radiation distribution of an axial generator according to claim 5, characterized in that: In S5, the user can observe the distribution of electromagnetic radiation from different angles through the operation interface, and the detection report generated by the system includes various parameters of electromagnetic radiation, distribution images and analysis conclusion information.

9. A computer device, characterized in that: The computer device includes a memory and a processor, the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the application method of the multi-dimensional scanning detection system for visualizing the electromagnetic radiation distribution of the axial generator as described in any one of claims 5 to 8.

10. A computer-readable storage medium storing a computer program, wherein when the computer program is executed by a processor, the processor executes the steps of the application method of the multi-dimensional scanning detection system for visualizing the electromagnetic radiation distribution of an axial generator according to any one of claims 5 to 8.

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