An electromagnetic suppression device deployment planning method, system, device and medium based on a region growing algorithm

Abstract

A kind of electromagnetic suppression equipment deployment planning method, system, equipment and medium based on region growing algorithm, method includes: reading electromagnetic control area original map information, and image data is preprocessed, obtain initial electromagnetic control area map;Suppression equipment position and quantity are initialized, based on ray tracing method operation, obtain the radiation power intensity in electromagnetic control area, generate electromagnetic situation map;Run electromagnetic control area fusion algorithm;Electromagnetic control area degree evaluation;Result output;System, equipment and medium are used to realize the method;Based on ray tracing method, suppression equipment radiation power intensity situation map is generated, image is processed, and actual radiation power is mapped, suppression equipment influence range is divided based on region growing algorithm, equipment is supplemented for the area where suppression radiation intensity is insufficient, i.e. accurate suppression equipment deployment scheme under the reasonable equipment quantity of whole area is realized;The present application has the advantages of accurate equipment deployment, less energy waste.

Description

Technical Field

[0001] This invention belongs to the field of communication countermeasures technology, and specifically relates to a method, system, device and medium for planning the deployment of electromagnetic suppression equipment based on a region growing algorithm. Background Technology

[0002] In the process of preparing for security for major events, the control of targets using unauthorized frequencies is a top priority. In recent decades, research on electromagnetic target suppression or blocking technology has been mainly driven by military electronic warfare applications. With the realization of military-civilian integration, electromagnetic target blocking technology has also been widely used in civilian industries such as public security, examinations, and stability maintenance.

[0003] Keysight Technologies offers a wide range of spectrum analyzers, signal analyzers, and spectrum monitoring systems for applications such as spectrum monitoring, spectrum analysis, and spectrum management. The German company Rohde & Schwarz specializes in spectrum analyzers, spectrum monitoring systems, and spectrum management software; its products are renowned for their highly accurate measurement capabilities and advanced signal processing technologies. The American company National Instruments provides flexible software-defined radio platforms and spectrum analysis software for spectrum monitoring, signal analysis, and spectrum management.

[0004] The companies mentioned above all offer high-performance spectrum management equipment; however, traditional spectrum management equipment deployment solutions are typically based on generic, pre-configured settings. To meet broad market demands and rapid delivery requirements, equipment manufacturers often only provide standardized equipment configuration and deployment guidelines, allowing for simple parameter configuration but lacking a comprehensive, macro-level deployment plan. In this extensive deployment approach, equipment is usually deployed at specific monitoring sites; this out-of-the-box deployment lacks flexibility and has limitations. Due to the lack of refined customization and optimization, these devices may not meet the needs of specific users and application scenarios.

[0005] Despite extensive research on electromagnetic security containment technology both domestically and internationally, there is still a pressing need to develop precise and coordinated electromagnetic target containment technology that is compatible with electromagnetic wave propagation calculations. Existing electromagnetic equipment coordination and control technologies for security activity areas only consider suppression effects, employing schemes with maximum equipment output power, maximum deployable equipment numbers, and the widest frequency range to achieve the best results. However, this leads to significant energy waste and, in today's complex electromagnetic environment, causes severe electromagnetic interference to other frequency bands that need to operate normally. Excessive power also poses health risks and seriously impacts daily social production and life.

[0006] Patent application CN108024257B discloses a method and apparatus for deploying an access point (AP). By acquiring the labels of specified objects in a graphical map, determining the trajectory of the element based on the attributes contained in the labels, and determining the impact of the deployment scheme on the AP, the method has the following limitations: the number of file types that can be read is limited, and the collaborative effect between multiple devices cannot be considered, resulting in the inability to obtain the optimal solution under device collaboration. Summary of the Invention

[0007] To overcome the shortcomings of the prior art, the present invention aims to propose a method, system, equipment, and medium for electromagnetic suppression equipment deployment planning based on a region growing algorithm. Based on existing map image data, a radiation power intensity trend map of the suppression equipment is generated using ray tracing. The image is processed and mapped to the actual radiation power. The influence range of the suppression equipment is divided based on the region growing algorithm, and equipment is supplemented for areas with insufficient suppression radiation intensity. Ultimately, a precise suppression equipment deployment scheme with a reasonable number of equipment across the entire area is achieved. The present invention has the advantages of precise equipment deployment and low energy waste.

[0008] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0009] A deployment planning method for electromagnetic suppression equipment based on a region growing algorithm includes the following steps:

[0010] Step 1: Read the original map information of the electromagnetic control area and perform image data preprocessing to obtain the initial electromagnetic control area map;

[0011] Step 2: In the initial electromagnetic control area map obtained in Step 1, initialize the location and quantity of the suppression equipment, calculate the radiation power intensity within the electromagnetic control area based on the ray tracing method, and generate an electromagnetic situation map;

[0012] Step 3: Based on the electromagnetic situation map generated in Step 2, run the electromagnetic control area fusion algorithm;

[0013] Step 4: Assessment of the degree of electromagnetic control area:

[0014] The electromagnetic control area growth effect is evaluated based on the results of the electromagnetic control area fusion algorithm in step 3. If, at the end of step 3, more than 90% of the electromagnetic control area in the obtained electromagnetic situation map reaches the suppression threshold, the suppression requirement is met, and the process proceeds to step 5. If less than 90% of the total area reaches the suppression threshold, the suppression requirement is not met, and equipment is added in the area with insufficient suppression radiation power intensity. The process then proceeds to step 2, and the radiation power intensity situation map of the suppression equipment is generated again.

[0015] Step 5: Output the results:

[0016] Output the number of pressing devices and the number of divided areas, and output the image showing the division of the pressing range.

[0017] The preprocessing in step 1 refers to eliminating the interference of irrelevant factors in dynamic information to obtain an image result that includes only inherent information, which is accomplished through image geometric transformation and filtering.

[0018] The steps in step 2, which involve calculating the radiation power intensity within the electromagnetic control area based on the ray tracing method and generating an electromagnetic situation map, are as follows:

[0019] Step 2.1. Map Modeling: Determine the electromagnetic control area, extract map images, latitude and longitude coordinates, and building size parameters, establish an object parameter database, and complete the modeling; this includes the geometric shape and latitude and longitude location information parameters of buildings, streets, trees, and other objects;

[0020] Step 2.2. Set transmitter and receiver parameters: Based on the map model constructed in Step 2.1, select the number, location, antenna transmit power, radiation pattern, and beamwidth parameters of the transmitter and receiver in the simulation;

[0021] Step 2.3. Ray Emission: Use the ray emission algorithm to emit a ray from the emitter, obtain the ray origin and direction parameters, and use the ray tracing algorithm to simulate the ray propagation path;

[0022] Step 2.4. Environmental Interaction: When the ray in Step 2.3 intersects with an object on the map, it means that there is a reflection, refraction, and scattering interaction between the ray and the object. Based on the object's geometry, electromagnetic properties, and material parameters, the attenuation and phase change of the ray are calculated according to the principle of ray tracing.

[0023] Step 2.5. Calculate the received signal: Based on the attenuation, multipath effect, interference on the propagation path of the ray in Step 2.3, as well as the location of the receiver and antenna characteristics, the received signal power and signal-to-noise ratio are calculated using the propagation path loss formula and the signal-to-noise ratio formula.

[0024] Step 2.6. Result Visualization: Data visualization is performed using heatmaps, where the magnitude of data values ​​is represented by the intensity of colors to generate an electromagnetic situation map.

[0025] The specific method for step 3 includes:

[0026] Step 3.1: Algorithm Initialization:

[0027] Starting from an initial pixel P0 in the electromagnetic situation image obtained in step 2, based on its relationship with neighboring pixels P... i Determine whether the similarity between them indicates that they belong to the same region;

[0028] Step 3.2: Similarity judgment:

[0029] The region-growing method is chosen, and the relationship between P0 and P is determined. i Similarity is determined by whether the absolute value of the difference between the grayscale values ​​Q of pixels is less than a given threshold K. If it is, the region is grown and labeled P. i If a pixel belongs to this region, it is included in the initial region; if it does not belong, the expanded region does not include that pixel P. i This pixel belongs to another region;

[0030] Step 3.3: Algorithm termination check:

[0031] After obtaining the new region, select the pixel P that has adjacent pixels within the region. j As P0 in step 3.2, it continues to grow in the same way as in step 3.2 until the region can no longer grow. If all pixels are marked as belonging to a certain region, the algorithm terminates.

[0032] This invention also provides an electromagnetic suppression equipment deployment planning system based on a region growing algorithm, comprising:

[0033] Initial lockdown area map acquisition module: used to read the original map information of the electromagnetic control area and perform image data preprocessing to obtain the initial electromagnetic control area map;

[0034] Electromagnetic situation map generation module: used to initialize the location and quantity of suppression equipment in the initial electromagnetic control area map, calculate the radiation power intensity in the electromagnetic control area based on the ray tracing method, and generate an electromagnetic situation map;

[0035] The electromagnetic control area fusion calculation module is used to run the electromagnetic control area fusion algorithm based on the generated electromagnetic situation map.

[0036] Electromagnetic control area degree assessment module: It is used to evaluate the growth effect of electromagnetic control area based on the results of electromagnetic control area fusion algorithm. If more than 90% of the total area of ​​the electromagnetic control area reaches the suppression threshold in the electromagnetic situation map of the electromagnetic control area when the electromagnetic control area fusion algorithm ends, the suppression requirement is met and the result is output. If less than 90% of the total area reaches the suppression threshold, the suppression requirement is not met. In this case, equipment is added to the area where the suppression radiation power intensity is insufficient, and the radiation power intensity situation map of the suppression equipment is generated again.

[0037] The results output module is used to output the number of pressing devices and the number of divided areas, and to output images showing the division of the pressing range.

[0038] This invention also provides an electromagnetic suppression equipment deployment planning device based on a region growing algorithm, comprising:

[0039] Memory: A computer program that stores the above-mentioned electromagnetic suppression equipment deployment planning method based on a region growing algorithm, and is a computer-readable device;

[0040] Processor: Used to implement the electromagnetic suppression equipment deployment planning method based on the region growing algorithm when executing the computer program.

[0041] The present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, enables the implementation of the electromagnetic suppression equipment deployment planning method based on a region growing algorithm.

[0042] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0043] 1. This invention uses ray tracing to characterize the electromagnetic propagation environment, taking into account the reflection and diffraction phenomena of objects in the scene. By tracing the propagation path of light between different media, it can solve the calculation of electromagnetic wave propagation in different frequency bands in complex scenes and large-scale systems, and provide accurate calculation results of electromagnetic fields and propagation characteristics.

[0044] 2. This invention optimizes the number of containment devices and achieves precise suppression. By rationally selecting the placement area of ​​the suppression devices, the equipment deployment is completed, achieving precise suppression and generating a visual result of the suppression effect. This helps to analyze the overall completion of the containment task, reduces the waste of the number of suppression devices, and avoids problems such as energy waste caused by extensive suppression.

[0045] In summary, this invention, by combining ray tracing with actual maps and region growing algorithms, can obtain an assessment of the containment status of electromagnetic control areas. It can provide refined deployment schemes and personalized configurations for specific application scenarios and user needs, offering more flexible, customizable, and targeted equipment deployment solutions to meet ever-changing spectrum control requirements. It also boasts advantages such as precise equipment deployment and minimal energy waste. Attached Figure Description

[0046] Figure 1 This is the algorithm flowchart of the present invention.

[0047] Figure 2 This is a flowchart of the region growing algorithm.

[0048] Figure 3 This is the original image of the electromagnetically controlled area.

[0049] Figure 4 It is a graph showing the intensity of radiation power from the suppression equipment.

[0050] Figure 5 shows the comparison of region fusion results under different threshold conditions; Figure 5(a) is the simulation image with a threshold of 5, Figure 5(b) is the simulation image with a threshold of 10, Figure 5(c) is the simulation image with a threshold of 15, and Figure 5(d) is the simulation image with a threshold of 20. Detailed Implementation

[0051] The present invention will now be described in further detail with reference to the accompanying drawings.

[0052] like Figure 1 As shown, the method for determining the number and delineating the scope of electromagnetic suppression equipment based on region growth includes the following steps:

[0053] Step 1: Read the original map information of the electromagnetic control area and perform image data preprocessing to obtain an initial electromagnetic control area map that is convenient for situation generation;

[0054] In major event security missions, the areas requiring control are vast, with diverse terrain and landforms, including densely built-up areas, flat and open land areas, and aquatic areas such as fountains, ponds, and lakes. Furthermore, these areas are often located in complex urban environments with intricate street networks, varying vegetation cover, and road infrastructure such as overpasses and bridges, making the environmental elements extremely complex. The map information contains multiple types of pixel information, including inherent information such as building and road appearances, as well as dynamic information such as vehicle traffic conditions and street names. From a long-term perspective, this dynamic information is constantly changing and uncertain. This information is irrelevant to subsequent ray-tracing-based electromagnetic propagation calculations and has very little impact on them. Therefore, preprocessing is necessary to eliminate the interference of irrelevant factors from the dynamic information, resulting in an image containing only the inherent information. This is accomplished through image geometric transformation and filtering.

[0055] Step 2: In the initial electromagnetic control area map obtained in Step 1, initialize the location and quantity of suppression equipment, and calculate the radiation power intensity within the electromagnetic control area based on the ray tracing method to generate an electromagnetic situation map.

[0056] Ray tracing is a commonly used method in electromagnetic propagation calculations. It predicts the propagation characteristics of electromagnetic waves in complex environments by simulating the propagation path and interaction of light rays. It takes into account phenomena such as light reflection, refraction, and scattering, and can provide accurate electromagnetic field distribution calculation results, thereby calculating the suppression power.

[0057] As mentioned above, the geographical environment of the control area is complex during major event security missions, and the variety and quantity of frequency-using equipment are abundant, resulting in a complex electromagnetic environment. Therefore, existing mathematical and statistical models are insufficient to accurately characterize the electromagnetic environment. Thus, the ray tracing method, which enables real-time on-site calculations and simulations, is chosen to calculate electromagnetic environment parameters. This invention utilizes the Communications Toolbox in MATLAB software for ray tracing calculations, overlaying the results onto a map to generate an electromagnetic situation map.

[0058] The steps for generating an electromagnetic situation map based on the ray tracing method are as follows:

[0059] Step 2.1. Map Modeling: Determine the electromagnetic control area, extract map images, latitude and longitude coordinates, and building size parameters, establish an object parameter database, and complete the modeling; this includes the geometric shape and latitude and longitude location information parameters of buildings, streets, trees, and other objects;

[0060] Step 2.2. Set transmitter and receiver parameters: Based on the map model constructed in Step 2.1, select the number, location, antenna transmit power, radiation pattern, and beamwidth parameters of the transmitter and receiver in the simulation;

[0061] Step 2.3. Ray Emission: Use the ray emission algorithm to emit a ray from the emitter, obtain the ray origin and direction parameters, and use the ray tracing algorithm to simulate the ray propagation path;

[0062] Step 2.4. Environmental Interaction: When the ray in Step 2.3 intersects with an object on the map, it means that there is a reflection, refraction, and scattering interaction between the ray and the object. Based on the object's geometry, electromagnetic properties, and material parameters, the attenuation and phase change of the ray are calculated according to the principle of ray tracing.

[0063] 1. Formula for the intersection point of a ray of light and an object:

[0064] P = O + tD

[0065] Where O is the starting point of the ray, D is the direction vector of the ray, and t is the length of the intersection point between the ray and the object;

[0066] 2. Formula for reflection of light:

[0067] R = 2(N*L)NL

[0068] Where N is the normal vector at the intersection point, L is the direction vector of the incident ray, and R is the direction vector of the reflected ray;

[0069] 3. Formula for the refraction of light:

[0070]

[0071] Where, ηi and η t These are the refractive indices of the two media, respectively. Let L be the normal vectors of the incident and exiting media, N be the direction vector of the incident ray, N be the normal vector at the intersection point, and T be the direction vector of the refracted ray.

[0072] 4. Color calculation formula:

[0073]

[0074] Where E is the self-illuminating color, C i It is the color emitted by the i-th light source, ω i It is the value of the corresponding light transmission function.

[0075] Step 2.5. Calculate the received signal: Based on the attenuation, multipath effect, interference on the propagation path of the ray in Step 2.3, as well as the location of the receiver and antenna characteristics, the received signal power and signal-to-noise ratio are calculated using the propagation path loss formula and the signal-to-noise ratio formula.

[0076] The formula for radius loss is:

[0077] L = L0 * e -αd

[0078] Where L is the intensity of the light when it travels to a distance d; L0 is the intensity of the light at a distance of 0; α is the attenuation coefficient; and d is the distance the light travels.

[0079] The signal-to-noise ratio formula is:

[0080]

[0081] Where SNR is the signal-to-noise ratio, measured in decibels (dB); Ps is the power of the signal; and Pn is the power of the noise.

[0082] Step 2.6. Result Visualization: Data visualization is performed using heatmaps, where the magnitude of data values ​​is represented by the intensity of colors to generate an electromagnetic situation map.

[0083] Heatmaps can clearly show the distribution and trends of data, and can intuitively represent the overall situation of the data and reflect the differences.

[0084] In the initial stage, half of the total number of devices are evenly deployed within the containment area. The radiation power intensity within the containment area is calculated using the ray tracing method, and an electromagnetic situation map is generated.

[0085] like Figure 2 As shown, step 3: Based on the electromagnetic situation map generated in step 2, run the electromagnetic control area fusion algorithm;

[0086] Region growing algorithms determine the similarity between image pixels by defining a similarity criterion. First, a seed pixel is set as an initial region. Then, its neighboring pixels are traversed, and the similarity between each neighboring pixel and the current region is calculated. If the similarity meets a preset condition, the neighboring pixel is added to the current region, and the process continues to traverse the neighbors of newly added pixels. This process continues until no more neighboring pixels can be added, thus forming a complete region. Region growing algorithms can adaptively segment based on image features and are robust to noise and edges. The detail and granularity of the segmentation can be controlled by adjusting the threshold of the similarity criterion and other parameters.

[0087] Step 3.1: Algorithm Initialization:

[0088] Based on the knowledge of experts in the field of lockdown and image information, representative pixels are selected as seed points on the electromagnetic situation image obtained in step 2. Starting from any initial pixel P0, the relationship between the initial pixel P0 and its neighboring pixels P0 is determined. i The similarity between them is used to determine whether they belong to the same region;

[0089] Step 3.2: Similarity judgment:

[0090] The region-growing method is chosen, and the relationship between P0 and P is determined. i Similarity is determined by whether the absolute value of the difference between the grayscale values ​​Q of pixels is less than a given threshold K. If it is, the region is grown, and pixel P is... i Mark as visited and record the region it belongs to; if it does not belong, the expanded region will not include that pixel P. i The point is marked as visited, its region is empty, and it is added to the set of pixels to be processed. This point is still considered when merging other regions.

[0091] Step 3.3: Algorithm termination check:

[0092] Define similarity threshold T h When the similarity between a pixel and the merged region is lower than the threshold T h When the time is right, stop growth in that area and start growth in the next area.

[0093] During the next region growth process, select pixel P in the region that has adjacent pixels. j As P0 in step 3.2, it continues to grow in the same way as in step 3.2 until the region can no longer grow. If all pixels are marked as belonging to a certain region, the algorithm terminates.

[0094] Step 4: Assessment of the degree of electromagnetic control area:

[0095] Based on the results of the electromagnetic control area fusion algorithm in step 3, the growth effect of the electromagnetic control area is evaluated. If, at the end of step 3, more than 90% of the total area in the electromagnetic situation map of the electromagnetic control area reaches the suppression threshold, then the suppression requirement is met, and the process proceeds to step 5. If less than 90% of the total area reaches the suppression threshold, then the suppression requirement is not met, and equipment is added in areas with insufficient suppression radiation power intensity, while the positions of other equipment remain unchanged. The process then proceeds to step 2, and the radiation power intensity situation map of the suppression equipment is generated again.

[0096] Step 5: Output the results:

[0097] Output the number of compression devices and the number of fusion generated areas, and output the image of the compression and fusion area division result.

[0098] The technical solution of this invention will be explained in detail below with reference to simulation experiments:

[0099] Simulation conditions: In this containment and suppression scenario, a 1km*1km area in the urban area is selected, the transmission frequency of the suppression equipment is set to 1600MHz, the transmission power is 34dBm, the antenna height is 2m, the maximum number of reflections of the ray tracing model is set to 4, and an urban terrain model is used.

[0100] like Figure 3 The image shown is an initial map of the electromagnetic control area. Figure 4 The figure shows the radiation power intensity trend of the electromagnetic control area suppression equipment, indicating differences in electromagnetic radiation power intensity across different areas. Figure 5 compares the area fusion results under different threshold conditions; Figure 5(a) is a simulation image with a threshold of 5, Figure 5(b) is a simulation image with a threshold of 10, Figure 5(c) is a simulation image with a threshold of 15, and Figure 5(d) is a simulation image with a threshold of 20. This invention compares the results of area fusion and division under different threshold conditions. It shows that the size and number of divided areas differ depending on the threshold setting, allowing selection based on actual needs and the number of suppression equipment. As the threshold increases, the granularity of the divided areas increases, enabling the rapid generation of multiple area division schemes, thus obtaining different electromagnetic suppression equipment deployment schemes. This provides users with multiple precisely calculated and optimized feasible schemes, allowing users to choose according to specific application needs.

[0101] As can be seen from the embodiments and accompanying drawings, compared with the prior art, the present invention employs a region growing algorithm, which can model and design based on actual maps, and has the characteristics of parameterized and customizable fine control schemes. Based on the specific electromagnetic control area and its actual scene, a set of region fusion results under different threshold conditions are output, allowing users to select the feasible optimal solution according to the actual situation.

[0102] This invention also provides an electromagnetic suppression equipment deployment planning system based on a region growing algorithm, comprising:

[0103] Initial lockdown area map acquisition module: used to read the original map information of the electromagnetic control area in step 1, and perform image data preprocessing to obtain the initial electromagnetic control area map;

[0104] Electromagnetic situation map generation module: used to initialize the location and quantity of suppression equipment in the initial electromagnetic control area map in step 2, obtain the radiation power intensity in the electromagnetic control area based on the ray tracing method, and generate an electromagnetic situation map;

[0105] The electromagnetic control area fusion calculation module is used to implement the electromagnetic control area fusion algorithm based on the generated electromagnetic situation map in step 3.

[0106] Electromagnetic control area degree assessment module: This module is used to evaluate the growth effect of the electromagnetic control area based on the results of the electromagnetic control area fusion algorithm in step 4. If, at the end of the electromagnetic control area fusion algorithm, more than 90% of the total area in the obtained electromagnetic situation map of the electromagnetic control area reaches the suppression threshold, then the suppression requirement is met and the result is output. If less than 90% of the total area reaches the suppression threshold, then the suppression requirement is not met. In this case, equipment is added to the area where the suppression radiation power intensity is insufficient, and the radiation power intensity situation map of the suppression equipment is generated again.

[0107] The result output module is used to output the number of pressing devices and the number of divided areas in step 5, and to output images of the pressing range division.

[0108] This invention also provides an electromagnetic suppression equipment deployment planning device based on a region growing algorithm, comprising:

[0109] Memory: A computer program that stores the above-mentioned electromagnetic suppression equipment deployment planning method based on a region growing algorithm, and is a computer-readable device;

[0110] Processor: Used to implement the electromagnetic suppression equipment deployment planning method based on the region growing algorithm when executing the computer program.

[0111] The present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, enables the implementation of the electromagnetic suppression equipment deployment planning method based on a region growing algorithm.

Claims

1. A deployment planning method for electromagnetic suppression equipment based on a region growing algorithm, characterized in that: Includes the following steps: Step 1: Read the original map information of the electromagnetic control area and perform image data preprocessing to obtain the initial electromagnetic control area map; Step 2: In the initial electromagnetic control area map obtained in Step 1, initialize the location and quantity of the suppression equipment, calculate the radiation power intensity within the electromagnetic control area based on the ray tracing method, and generate an electromagnetic situation map; Step 3: Based on the electromagnetic situation map generated in Step 2, run the electromagnetic control area fusion algorithm; Step 4: Assessment of the degree of electromagnetic control area: The electromagnetic control area growth effect is evaluated based on the results of the electromagnetic control area fusion algorithm in step 3. If, at the end of step 3, more than 90% of the electromagnetic control area in the obtained electromagnetic situation map reaches the suppression threshold, the suppression requirement is met, and the process proceeds to step 5. If less than 90% of the total area reaches the suppression threshold, the suppression requirement is not met, and equipment is added in the area with insufficient suppression radiation power intensity. The process then proceeds to step 2, and the radiation power intensity situation map of the suppression equipment is generated again. Step 5: Output the results: Output the number of pressing devices and the number of divided areas, and output the image showing the division of the pressing range.

2. The electromagnetic suppression equipment deployment planning method based on the region growing algorithm according to claim 1, characterized in that: The preprocessing in step 1 refers to eliminating the interference of irrelevant factors in dynamic information to obtain an image result that includes only inherent information, which is accomplished through image geometric transformation and filtering.

3. The electromagnetic suppression equipment deployment planning method based on the region growing algorithm according to claim 1, characterized in that: The steps in step 2, which involve calculating the radiation power intensity within the electromagnetic control area based on the ray tracing method and generating an electromagnetic situation map, are as follows: Step 2.

1. Map Modeling: Determine the electromagnetic control area, extract map images, latitude and longitude coordinates, and building size parameters, establish an object parameter database, and complete the modeling; This includes the geometric shape and latitude / longitude location information parameters of buildings, streets, trees, and other objects; Step 2.

2. Set transmitter and receiver parameters: Based on the map model constructed in Step 2.1, select the number, location, antenna transmit power, radiation pattern, and beamwidth parameters of the transmitter and receiver in the simulation; Step 2.

3. Ray Emission: Use the ray emission algorithm to emit a ray from the emitter, obtain the ray origin and direction parameters, and use the ray tracing algorithm to simulate the ray propagation path; Step 2.

4. Environmental Interaction: When the ray in Step 2.3 intersects with an object on the map, it means that there is a reflection, refraction, and scattering interaction between the ray and the object. Based on the object's geometry, electromagnetic properties, and material parameters, the attenuation and phase change of the ray are calculated according to the principle of ray tracing. Step 2.

5. Calculate the received signal: Based on the attenuation, multipath effect, interference on the propagation path of the ray in Step 2.3, as well as the location of the receiver and antenna characteristics, the received signal power and signal-to-noise ratio are calculated using the propagation path loss formula and the signal-to-noise ratio formula. Step 2.

6. Result Visualization: Data visualization is performed using heatmaps, where the magnitude of data values ​​is represented by the intensity of colors to generate an electromagnetic situation map.

4. The electromagnetic suppression equipment deployment planning method based on the region growing algorithm according to claim 1, characterized in that: The specific method for step 3 includes: Step 3.1: Algorithm Initialization: Starting from an initial pixel P0 in the electromagnetic situation image obtained in step 2, based on its relationship with neighboring pixels P... i Determine whether the similarity between them indicates that they belong to the same region; Step 3.2: Similarity judgment: The region-growing method is chosen, and the relationship between P0 and P is determined. i Similarity is determined by whether the absolute value of the difference between the grayscale values ​​Q of pixels is less than a given threshold K. If it is, the region is grown and labeled P. i If a pixel belongs to this region, it is included in the initial region; if it does not belong, the expanded region does not include that pixel P. i This pixel belongs to another region; Step 3.3: Algorithm termination check: After obtaining the new region, select the pixel P that has adjacent pixels within the region. j As P0 in step 3.2, it continues to grow in the same way as in step 3.2 until the region can no longer grow. If all pixels are marked as belonging to a certain region, the algorithm terminates.

5. A deployment planning system for electromagnetic suppression equipment based on a region growing algorithm according to any one of claims 1 to 4, characterized in that: include: Initial lockdown area map acquisition module: used to read the original map information of the electromagnetic control area and perform image data preprocessing to obtain the initial electromagnetic control area map; Electromagnetic situation map generation module: used to initialize the location and quantity of suppression equipment in the initial electromagnetic control area map, calculate the radiation power intensity in the electromagnetic control area based on the ray tracing method, and generate an electromagnetic situation map; The electromagnetic control area fusion calculation module is used to run the electromagnetic control area fusion algorithm based on the generated electromagnetic situation map. Electromagnetic control area degree assessment module: It is used to evaluate the growth effect of electromagnetic control area based on the results of electromagnetic control area fusion algorithm. If more than 90% of the total area of ​​the electromagnetic control area reaches the suppression threshold in the electromagnetic situation map of the electromagnetic control area when the electromagnetic control area fusion algorithm ends, the suppression requirement is met and the result is output. If less than 90% of the total area reaches the suppression threshold, the suppression requirement is not met. In this case, equipment is added to the area where the suppression radiation power intensity is insufficient, and the radiation power intensity situation map of the suppression equipment is generated again. The results output module is used to output the number of pressing devices and the number of divided areas, and to output images showing the division of the pressing range.

6. A deployment planning device for electromagnetic suppression equipment based on a region growing algorithm, characterized in that: include: Memory: A computer program for planning the deployment of an electromagnetic suppression device based on a region growing algorithm as described in any one of claims 1-4, and is a computer-readable device; Processor: Used to implement the electromagnetic suppression device deployment planning method based on the region growing algorithm as described in any one of claims 1-4 when executing the computer program.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program that, when executed by a processor, enables the implementation of the electromagnetic suppression equipment deployment planning method based on a region growing algorithm as described in any one of claims 1-4.

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