Gridding-based multi-source electromagnetic situation fusion and evaluation method and system

Abstract

The invention discloses a gridding-based multi-source electromagnetic situation fusion and evaluation method and system, and the method comprises the steps: carrying out the gridding processing of a monitoring region, calculating the radiation intensity of each electromagnetic source at each grid point through an empirical model, and carrying out the fusion of the intensity values, thereby precisely obtaining the electromagnetic situation information, and carrying out the evaluation of the multi-source electromagnetic situation. And a reliable basis is provided for analysis, management and decision-making of the electromagnetic environment.

Description

Technical Field

[0001] The present invention relates to the technical field of electromagnetic situation analysis, and in particular to a grid-based multi-source electromagnetic situation fusion and evaluation method and system. Background Art

[0002] In modern warfare, electromagnetic space has become the sixth combat domain after land, sea, air, space, and network. With the rapid development of electronic information technology, the electromagnetic environment has become increasingly complex, involving a wide variety of electromagnetic signals, a large number, and dynamic changes. Against this background, multi-source electromagnetic situation fusion calculation methods have emerged, aiming to integrate and analyze electromagnetic data from different sensors and platforms to provide a comprehensive and real-time view of the electromagnetic environment. This method can reveal the current state, comprehensive situation, and development trend of the electromagnetic environment by fusing multiple electromagnetic signals such as radar, communication, and navigation, providing a scientific basis for decision makers and enhancing the situational awareness of the electromagnetic space. The development of background technology, including data fusion theory, signal processing algorithms, high-performance computing technology, and visualization technology, provides technical support for achieving this goal. With the continuous advancement of these technologies, multi-source electromagnetic situation fusion calculation methods are gradually becoming a key technology for improving electromagnetic space control and responding to complex electromagnetic threats. Traditional electromagnetic situation analysis methods are often difficult to process multi-source electromagnetic data, and there are problems such as low data processing efficiency and inaccurate fusion. With the continuous improvement of the requirements for the accuracy of electromagnetic environment perception, a new method is needed to effectively integrate multi-source electromagnetic information. Grid technology is widely used in fields such as geographic information systems. Introducing it into multi-source electromagnetic situation fusion calculation can better manage and analyze spatial electromagnetic information. Summary of the invention

[0003] The present application provides a grid-based multi-source electromagnetic situation fusion and evaluation method and system to solve the problems that traditional electromagnetic situation analysis methods are difficult to process multi-source electromagnetic data, have low data processing efficiency, inaccurate fusion, etc.

[0004] According to the first aspect, an embodiment provides a grid-based multi-source electromagnetic situation fusion and assessment method, the method comprising:

[0005] Divide the target monitoring area into grids and obtain all grid points after division;

[0006] Acquire all electromagnetic sources in the target monitoring area, and calculate the radiation intensity of the electromagnetic source-grid point to obtain the radiation intensity value of each grid point under multiple different electromagnetic sources;

[0007] The radiation intensity values ​​of each grid point under multiple different electromagnetic sources are fused and calculated to obtain the fused radiation intensity value of each grid point;

[0008] Based on the constructed electromagnetic situation assessment index system, the electromagnetic situation assessment index value is calculated using the fused radiation intensity value of each grid point;

[0009] Assess the electromagnetic situation in the monitoring area according to the electromagnetic situation assessment index value, obtain the electromagnetic situation assessment results, apply the electromagnetic situation assessment results to different scenarios, and provide support for decision-making.

[0010] Furthermore, the target monitoring area is divided into grids to obtain all grid points after division, including:

[0011] Determine the appropriate grid division method, including uniform grid division or non-uniform grid division, based on the geographical shape, area size and electromagnetic source distribution of the target monitoring area;

[0012] Each grid point is assigned a unique identifier, and a grid point data storage structure is established to store grid-related data.

[0013] Furthermore, all electromagnetic sources in the target monitoring area are obtained, and the radiation intensity of the electromagnetic source-grid point is calculated to obtain the radiation intensity value of each grid point under multiple different electromagnetic sources, specifically including:

[0014] Identify all electromagnetic radiation sources within the target monitoring area and collect detailed parameters of each electromagnetic source;

[0015] Select appropriate empirical model of electromagnetic radiation propagation according to the type of electromagnetic source and the characteristics of the propagation environment;

[0016] For each electromagnetic source and each grid point, the electromagnetic source parameters and the coordinate information of the grid point are substituted into the selected empirical model to calculate the radiation intensity from each electromagnetic source to each grid point.

[0017] Furthermore, according to the type of electromagnetic source and the characteristics of the propagation environment, a suitable electromagnetic radiation propagation empirical model is selected, including:

[0018] For point source radiation in free space, the Friis transmission formula is used; for ground-to-air propagation scenarios, the Longley-Rice model is selected; for urban electromagnetic environment radiation models, the COST-231Hata model is selected.

[0019] Furthermore, a weighted fusion calculation is performed on the radiation intensity values ​​of each grid point under multiple different electromagnetic sources to obtain the fused radiation intensity value of each grid point, specifically including:

[0020] Data preprocessing is performed before fusion, including checking whether the calculated radiation intensity values ​​have outliers; marking the intensity values ​​beyond the normal range as outliers by setting a reasonable threshold range; and correcting or replacing outliers by using interpolation methods or estimation methods based on adjacent grid point data.

[0021] Furthermore, the radiation intensity values ​​of each grid point under multiple different electromagnetic sources are fused and calculated to obtain the fused radiation intensity value of each grid point, specifically including:

[0022] The fusion calculation methods include weighted average fusion algorithm and fusion algorithm based on evidence theory;

[0023] For the weighted fusion algorithm, the weights are determined based on a variety of factors including the reliability of the electromagnetic source, the distance from the grid point, and the power of the source;

[0024] For the fusion algorithm based on evidence theory, the radiation intensity of each electromagnetic source at the grid point is used as evidence, and the fusion is performed by calculating the credibility and support of the evidence to obtain the fusion result.

[0025] Furthermore, based on the constructed electromagnetic situation assessment index system, the electromagnetic situation assessment index value is calculated using the fused radiation intensity value of each grid point, specifically including:

[0026] The electromagnetic situation assessment index system includes: electromagnetic intensity mean, electromagnetic variance, uniformity of electromagnetic intensity spatial distribution, and electromagnetic source density.

[0027] According to the second aspect, an embodiment provides a grid-based multi-source electromagnetic situation fusion and assessment system, the system comprising:

[0028] The gridding module is used to divide the target monitoring area into grids and obtain all the grid points after division;

[0029] A radiation intensity calculation module is used to obtain all electromagnetic sources in the target monitoring area, and perform radiation intensity calculations between electromagnetic sources and grid points to obtain radiation intensity values ​​of each grid point under multiple different electromagnetic sources;

[0030] The radiation intensity fusion module is used to perform fusion calculation on the radiation intensity values ​​of each grid point under multiple different electromagnetic sources to obtain the fused radiation intensity value of each grid point;

[0031] An electromagnetic situation assessment index calculation module is used to calculate the electromagnetic situation assessment index value based on the constructed electromagnetic situation assessment index system and using the radiation intensity value of each grid point after fusion;

[0032] The electromagnetic situation assessment and application module is used to assess the electromagnetic situation in the monitoring area according to the electromagnetic situation assessment index value, obtain the electromagnetic situation assessment results, apply the electromagnetic situation assessment results to different scenarios, and provide support for decision-making.

[0033] According to a third aspect, an embodiment provides an electronic device, the device comprising: a processor and a memory;

[0034] The memory is used to store one or more program instructions;

[0035] The processor is used to run one or more program instructions to execute the steps of a grid-based multi-source electromagnetic situation fusion and assessment method as described in any of the above items.

[0036] According to the fourth aspect, an embodiment provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of a grid-based multi-source electromagnetic situation fusion and assessment method as described in any one of the above items are implemented.

[0037] The present application provides a grid-based multi-source electromagnetic situation fusion and assessment method and system, which has the following beneficial effects:

[0038] (1) Accurate electromagnetic situation analysis: Through grid processing and precise radiation intensity calculation and fusion, the spatial distribution of electromagnetic radiation can be more accurately reflected, making it possible to accurately analyze the electromagnetic situation.

[0039] (2) Fusion of multiple factors: Multiple electromagnetic propagation factors are considered in the calculation of radiation intensity, and multiple characteristics of electromagnetic sources are integrated in the fusion process to make the results more reliable and practical.

[0040] (3) Broad application value: The established electromagnetic situation assessment indicators and application scenarios can meet the needs of electromagnetic environment analysis and decision-making in different fields and have broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A flowchart of a grid-based multi-source electromagnetic situation fusion and assessment method provided by an embodiment of the present invention;

[0042] Figure 2 A schematic diagram of the gridding of the monitoring area in a grid-based multi-source electromagnetic situation fusion and assessment method provided by an embodiment of the present invention;

[0043] Figure 3A flow chart of source-grid point radiation intensity calculation based on an empirical model in a grid-based multi-source electromagnetic situation fusion and assessment method provided by one embodiment of the present invention;

[0044] Figure 4 A diagram of the grid point radiation intensity fusion process in a grid-based multi-source electromagnetic situation fusion and assessment method provided in one embodiment of the present invention

[0045] Figure 5 A schematic diagram of decision support for electromagnetic situation in different application scenarios in a grid-based multi-source electromagnetic situation fusion and assessment method provided by an embodiment of the present invention;

[0046] Figure 6 A schematic diagram of the logical structure of a grid-based multi-source electromagnetic situation fusion and assessment system provided for one embodiment of the present invention. DETAILED DESCRIPTION

[0047] The present invention is further described in detail below by specific embodiments in conjunction with the accompanying drawings. Wherein similar elements in different embodiments adopt associated similar element numbers. In the following embodiments, many detailed descriptions are for making the present application better understood. However, those skilled in the art can easily recognize that some features can be omitted in different situations, or can be replaced by other elements, materials, methods. In some cases, some operations related to the present application are not shown or described in the specification, this is to avoid the core part of the present application being overwhelmed by too much description, and for those skilled in the art, it is not necessary to describe these related operations in detail, and they can fully understand the related operations according to the description in the specification and the general technical knowledge in the art.

[0048] In addition, the features, operations or characteristics described in the specification can be combined in any appropriate manner to form various implementations. At the same time, the steps or actions in the method description can also be interchanged or adjusted in a manner that is obvious to those skilled in the art. Therefore, the various sequences in the specification and the drawings are only for the purpose of clearly describing a certain embodiment and are not meant to be a required sequence, unless otherwise specified that a certain sequence must be followed.

[0049] The first embodiment of the present invention provides a grid-based multi-source electromagnetic situation fusion and assessment method, which processes the monitoring area into grids, uses an empirical model to calculate the radiation intensity of each electromagnetic source at each grid point, and fuses these intensity values, thereby accurately obtaining electromagnetic situation information, providing a reliable basis for the analysis, management and decision-making of the electromagnetic environment. Figure 1 and Figure 2 Provide detailed explanation.

[0050] like Figure 1 As shown, in step S100, the target monitoring area is divided into grids, and all grid points after the division are obtained.

[0051] The above steps specifically include:

[0052] S110, grid division rules: Determine the appropriate grid division method based on the geographical shape, area size and distribution of electromagnetic sources in the monitoring area. Uniform grid division or non-uniform grid division can be used, such as Figure 2 As shown in the figure, the grid distribution under different division methods is shown, including uniform grid and non-uniform grid. For large areas where electromagnetic sources are relatively uniformly distributed, uniform square grid division can be used, and the grid side length is determined according to the required accuracy and computing resources. For example, in urban electromagnetic environment monitoring, the side length can be set to 100-500 meters. If the electromagnetic sources are unevenly distributed, such as around military bases, where electromagnetic sources are concentrated in a specific area, a smaller grid side length (such as 50-100 meters) is used in that area, and a larger grid side length (such as 500-1000 meters) is used in areas far away from the electromagnetic sources.

[0053] Specifically, a grid division scheme is formulated based on the actual geographic information of the monitoring area and the preliminary investigation of the electromagnetic sources. For example, for a 10 km long and 8 km wide urban suburban monitoring area, if it is known that the electromagnetic sources are mainly concentrated within a 4 km range close to the city side, the area can be divided into square grids with a side length of 200 meters, and the 6 km area away from the city is divided into square grids with a side length of 500 meters. Use geographic information system (GIS) software or a custom algorithm program to grid the monitoring area according to the division scheme.

[0054] S120, grid parameter setting: Generate a unique identifier for each grid point, such as using coordinate coding or sequential numbering. Establish a grid point data storage structure, such as using an array or linked list structure, in which space is reserved for storing radiation intensity values, fusion-related parameters and other data.

[0055] like Figure 1 As shown, in step S200, all electromagnetic sources in the target monitoring area are obtained, and the radiation intensity of the electromagnetic source-grid point is calculated to obtain the radiation intensity value of each grid point under multiple different electromagnetic sources.

[0056] The above steps specifically include:

[0057] S210, electromagnetic source parameter acquisition: first determine all electromagnetic radiation sources in the monitoring area, and collect relevant parameters of each electromagnetic source, including source type (such as radar type, communication equipment frequency band, etc.), transmission power, antenna pattern, operating frequency, polarization mode, etc. These parameters can be obtained through equipment documentation, on-site measurement or data sharing with relevant management departments.

[0058] Specifically, professional personnel are organized to conduct a comprehensive survey of electromagnetic radiation sources in the monitoring area, including communication base stations, radar facilities, radio and television transmission towers, etc. For each electromagnetic source, detailed parameters are collected. Taking a communication base station as an example, information such as its transmission power (such as 50 watts), operating frequency band (such as 1800MHz), antenna pattern (obtained through documents provided by the manufacturer or on-site measurements), and polarization mode (such as vertical polarization) is obtained.

[0059] S220, selection and application of empirical model: Select an appropriate empirical model of electromagnetic radiation propagation according to the type of electromagnetic source and the characteristics of the propagation environment. For example, for point source radiation in free space, the Friis transmission formula can be used; for ground-to-air propagation scenarios, the Longley-Rice model can be used; for urban electromagnetic environment radiation models, the COST-231Hata model can be used. For each electromagnetic source and each grid point, substitute the source parameters and the coordinate information of the grid point into the selected empirical model to calculate the radiation intensity from the electromagnetic source to the grid point. Figure 3 As shown, the steps of electromagnetic source parameter acquisition, empirical model selection and application are described in detail.

[0060] Assuming that there is a communication base station as an electromagnetic source in an urban environment, and considering the impact of buildings on electromagnetic propagation, an empirical model suitable for the urban environment (such as the COST-231Hata model) is selected. For each grid point, the parameters of the base station and the coordinates of the grid point are substituted into the model. For example, for a grid point with coordinates (x, y), the radiation intensity from the base station to the grid point is calculated. The specific calculation process is as follows:

[0061] 1) Calculate the distance between the base station and the grid point The unit is kilometers;

[0062] 2) Set the base station frequency f and antenna height h b , the calculated distance d and the antenna height h of the grid point m Substitute it into the cost-231Hata model formula and calculate the path loss L.

[0063] The calculation formula is: L = 46.3 + 33.9log 10 (f)-13.82log 10 (h b )-a(hm )+(44.9-6.55log 10 (h b ))log 10 (d), where L (path loss unit: dB) represents the power loss caused by various factors (such as distance, buildings, etc.) when the electromagnetic signal propagates from the transmitting end (base station) to the receiving end (grid point); f (frequency, unit: MHz) represents the frequency of the signal transmitted by the communication base station; h b (Base station antenna height, unit: m): The height of the base station transmitting antenna from the ground. m (Mobile station antenna height, unit: m) represents the assumed receiving antenna height at the receiving point (grid point); d (distance, unit: km) represents the straight-line distance between the base station (coordinate) and the grid point (coordinate); a (h m ) (Correction factor related to the mobile station antenna height): a(h m )=(1.1log 10 (f)-0.7)h m -(1.56log 10 (f)-0.8).

[0064] 3) According to the formula P r =P t -L calculates the radiation intensity of the grid point, where P r represents the base station transmit power (unit: dBm), and L is the calculated path loss.

[0065] like Figure 1 As shown, in step S300, the radiation intensity values ​​of each grid point under multiple different electromagnetic sources are fused and calculated to obtain the fused radiation intensity value of each grid point.

[0066] The above steps specifically include:

[0067] S310, data preprocessing: Before fusing multiple radiation intensity values ​​of each grid point, preprocess the data. Check whether the calculated radiation intensity values ​​have outliers, which may be caused by model errors, inaccurate parameters or other interference factors. By setting a reasonable threshold range, intensity values ​​that exceed the normal range are marked as outliers. For outliers, interpolation or estimation based on adjacent grid point data can be used to correct or replace them.

[0068] Specifically, after obtaining the radiation intensity value of each electromagnetic source in the area of ​​each grid point, data preprocessing is performed. A reasonable intensity value threshold range is set. For example, based on experience and model prediction, it is determined that the normal radiation intensity value should be between [I min ,I max] range. For intensity values ​​outside this range, they are considered abnormal values. If the radiation intensity value of a certain grid point is abnormal, the linear interpolation method can be used to correct it. For example, let the abnormal grid point be P(x p ,y p ), whose radiation intensity is I p The two grid points with known radiation intensity are A and B, and the radiation intensity is A(x a ,y a ) and B(x b ,y b ). The radiation intensity of the abnormal grid point can be expressed by linear interpolation represents the distance from grid point P to grid point A, Represents the distance from grid point A to grid point B. This linear interpolation method assumes that the radiation intensity change between two known grid points is linear. The radiation intensity estimate of the abnormal grid point is determined by calculating the relative position relationship between the abnormal grid point and the known grid point.

[0069] S320, fusion algorithm selection: select a suitable fusion algorithm based on the characteristics of the electromagnetic source and the characteristics of the grid point data. A weighted average fusion algorithm can be used, and the weight is determined based on factors such as the reliability of the electromagnetic source, the distance from the grid point, and the power of the source. For example, a higher weight is given to an electromagnetic source that is closer to the grid point and has greater power and higher reliability. Alternatively, a fusion algorithm based on evidence theory is used, and the radiation intensity of each electromagnetic source at the grid point is used as evidence. The evidence is then fused by calculating the credibility and support of the evidence to obtain a more accurate fusion result. Figure 4 As shown in Figure 1, the grid point radiation intensity fusion process includes data preprocessing, fusion algorithm selection and fusion calculation steps.

[0070] Specifically, this embodiment selects a weighted average fusion algorithm for fusion calculation. Determine the weight factor, and assign a higher weight to the electromagnetic source that is closer to the grid point (by calculating the distance between the electromagnetic source and the grid point), has a larger power and a higher reliability (based on the historical operation data and maintenance records of the electromagnetic source). The specific weight assignment scheme is as follows.

[0071] (1) Calculation of distance weight factor

[0072] a. Determine the distance weight function

[0073] Assuming the distance from the electromagnetic source to the grid point is d, the distance weight factor can be determined using an inverse proportional function: In order to avoid the situation where d = 0, a minimum distance value d can be set min , when d <d min When dTake the maximum value. In this way, the closer the electromagnetic source is, the greater its distance weight factor is.

[0074] b. Normalized distance weight

[0075] Calculate the distance weight factor w for all electromagnetic sources di (i represents the i-th electromagnetic source), and then normalized. The normalized distance weight (n is the total number of electromagnetic sources).

[0076] (2) Calculation of power weight factor

[0077] a. Determine the power weight function

[0078] Assuming the power of the electromagnetic source is P, the power weight factor can be determined by a linear function. p =aP+b, where a and b are coefficients determined according to actual conditions, such as a=0.1, b=0.2. The greater the power of the electromagnetic source, the greater the power weight factor.

[0079] b. Normalized power weight

[0080] Calculate the power weight factor w for all electromagnetic sources pi After that, normalization is performed. The power weight after normalization is (n is the total number of electromagnetic sources).

[0081] (3) Calculation of reliability weight factor

[0082] a. Reliability score

[0083] The reliability score S is calculated based on the historical operation data and maintenance records of the electromagnetic source. The score range can be set to 0-10 points. If the electromagnetic source has no faults in the past year and has a good maintenance record, it can be rated 8-10 points; if there are a few faults but they do not affect the main functions, it can be rated 5-7 points; if the faults are frequent, it can be rated 0-4 points.

[0084] b. Determine the reliability weight function

[0085] Assume the reliability weight factor w s Proportional to the score S,

[0086] c. Normalized reliability weight

[0087] Calculate the reliability weight factor w of all electromagnetic sources si After that, normalization is performed. The normalized reliability weight (n is the total number of electromagnetic sources).

[0088] (4) Comprehensive weight calculation

[0089] Finally, the weight w of each electromagnetic source is i The distance weight w di , power weight w pi and reliability weight w si The weighted combination of i =αw di +βw pi +γw si (α, β, γ are coefficients determined according to actual conditions, and α+β+γ=1, such as α=0.4, β=0.3, γ=0.3)

[0090] Assume that the radiation intensity values ​​received by a grid point from three electromagnetic sources are I1, I2, and I3, respectively, and the corresponding weights are w1, w2, and w3, respectively. The fused radiation intensity value is I = w1*I1+w2*I2+w3*I3. The fusion result is stored in the grid point data structure, and the weight values ​​used are recorded.

[0091] S330, fusion calculation and result storage: According to the selected fusion algorithm, multiple radiation intensity values ​​of each grid point are fused and calculated. The fused radiation intensity value is stored in the data structure of the corresponding grid, and the relevant parameters of the fusion process (such as the fusion algorithm used, weight value, etc.) are recorded at the same time for subsequent analysis and verification.

[0092] like Figure 1 As shown, in step S400, based on the constructed electromagnetic situation assessment index system, the electromagnetic situation assessment index value is calculated using the fused radiation intensity value of each grid point.

[0093] The above steps specifically include:

[0094] S410, establishment of electromagnetic situation assessment indicators: Based on the fused radiation intensity data, an electromagnetic situation assessment indicator system is established. The indicators may include the mean value, variance, uniformity of electromagnetic intensity spatial distribution, electromagnetic source density, etc. By calculating the values ​​of these indicators, the electromagnetic situation of the monitored area is comprehensively evaluated. For example, by calculating the mean and variance of the electromagnetic intensity of grid points within a certain range, the average intensity and fluctuation of the electromagnetic environment can be understood; by analyzing the uniformity of the electromagnetic intensity spatial distribution, the stability of the electromagnetic environment can be judged.

[0095] Specifically, the value of the electromagnetic situation assessment index is calculated based on the fused radiation intensity data. Suppose we have a monitoring area that has been divided into grids, and the radiation intensity value of each grid point is obtained through the previous fusion algorithm. At the same time, the area size and coordinate range of each grid are known in order to determine the grid points within 1 square kilometer. For example, each grid is a square with a side length of 100 meters, so there are 100 grid points in 1 square kilometer (1000 meters × 1000 meters). The radiation intensity values ​​of these grid points (unit: watt / square meter) are: I1=0.5, I2=0.6, I3=0.4,…,I 100 =0.7.

[0096] 1) The calculation formula of indicator 1 (mean value of electromagnetic intensity) is: Among them I i is the radiation intensity of the ith grid point, and n is the total number of grid points.

[0097] For the above example, The calculated value is 0.2 watts per square meter. The mean electromagnetic intensity reflects the overall level of electromagnetic radiation intensity in the area. If the mean is larger, it means that the overall electromagnetic radiation level in the area is higher.

[0098] 2) The calculation formula for indicator 2 (electromagnetic variance) is: Among them I i is the radiation intensity of the ith grid point, and n is the total number of grid points.

[0099] The variance reflects the degree of dispersion of the electromagnetic intensity value. A smaller variance means that the difference in electromagnetic intensity between grid points is small, and the electromagnetic environment is relatively stable. If the variance is large, it means that the difference in electromagnetic intensity between grid points is large, and there may be some local electromagnetic radiation sources or interference factors, resulting in an unstable electromagnetic environment.

[0100] 3) Index 3 (uniformity of spatial distribution of electromagnetic intensity) can be evaluated by calculating the degree of difference between the intensity values ​​of adjacent grid points, such as calculating the standard deviation of the intensity values ​​of adjacent grid points.

[0101] The specific calculation steps are as follows:

[0102] a. Calculation of intensity difference between adjacent grid points

[0103] Assume that there are m grid points in the monitoring area, and their radiation intensities are I1, I2, I3…I m For each grid point, consider its adjacent grid points. Take grid point i as an example, let the strengths of its adjacent grid points be I i-1 (Left adjacent), I i+1 (right adjacent), I i-t (upper adjacent), Ii+t (next adjacent) (where t is the number of grid points in a row). Calculate the difference between the intensity of grid point i and its adjacent grid point, such as ΔI i-1 =I i -I i-1 (Difference in intensity with the left adjacent grid point), such as ΔI i+1 =I i -I i+1 (Difference in intensity with the right adjacent grid point), such as ΔI i-t =I i -I i-t (Difference in intensity with the upper adjacent grid point), such as ΔI i-t =I i -I i-t (Difference in intensity with the next adjacent grid point).

[0104] b. Calculate the sum of squares of the differences

[0105] The squares of the intensity differences between all grid points and their adjacent grid points are summed to obtain

[0106] c. Calculate the standard deviation of the intensity difference between adjacent grid points

[0107]

[0108] Among them, σ adjacent Represents adjacent grid points

[0109] The standard deviation of the intensity difference is used to measure the uniformity of the electromagnetic intensity spatial distribution. The smaller the standard deviation, the smaller the difference in electromagnetic intensity between adjacent grid points and the more uniform the electromagnetic intensity spatial distribution. m is the total number of grid points in the monitoring area. ΔI i-1 , ΔI i+1 , ΔI i-m , ΔI i+m are the intensity differences between a grid point and its adjacent grid points on the left, right, top, and bottom, respectively.

[0110] like Figure 1 As shown, in step S500, the electromagnetic situation of the monitoring area is evaluated according to the electromagnetic situation evaluation index value, the electromagnetic situation evaluation result is obtained, and the electromagnetic situation evaluation result is applied to different scenarios to provide support for decision-making.

[0111] The above steps specifically include:

[0112] S510, Decision support and application scenarios: Apply the results of electromagnetic situation assessment to different scenarios to provide support for decision-making. In electromagnetic environment management, if it is found that the average electromagnetic intensity in a certain area exceeds the electromagnetic radiation safety standards prescribed by the state, such as the electromagnetic intensity limit in residential areas, the electromagnetic sources in the area (such as communication base stations) are inspected and adjusted, such as reducing the transmission power or adjusting the antenna direction. In the military field, when it is detected that the enemy's electromagnetic source forms a high-intensity radiation area in a certain area, it is judged as a potential threat area, and the military deployment is adjusted to strengthen electromagnetic countermeasures, such as turning on electronic jamming equipment or adjusting the frequency of one's own radar. In the field of communications, according to the electromagnetic interference situation, if it is found that the communication quality in a certain area is reduced due to excessive electromagnetic intensity, the layout of communication base stations is optimized, such as increasing the number of base stations or adjusting the location of base stations, and adjusting the communication frequency to avoid the interference frequency band. Figure 5 Schematic diagram of decision support for electromagnetic situation in different application scenarios, such as application examples in the fields of electromagnetic environment management, military operations and communications.

[0113] Corresponding to the above-disclosed multi-source electromagnetic situation fusion and assessment method based on gridding, the embodiment of the present invention also discloses a multi-source electromagnetic situation fusion and assessment system based on gridding, such as Figure 6 As shown, it specifically includes:

[0114] The gridding module is used to divide the target monitoring area into grids and obtain all the grid points after division;

[0115] A radiation intensity calculation module is used to obtain all electromagnetic sources in the target monitoring area, and perform radiation intensity calculations between electromagnetic sources and grid points to obtain radiation intensity values ​​of each grid point under multiple different electromagnetic sources;

[0116] The radiation intensity fusion module is used to perform fusion calculation on the radiation intensity values ​​of each grid point under multiple different electromagnetic sources to obtain the fused radiation intensity value of each grid point;

[0117] An electromagnetic situation assessment index calculation module is used to calculate the electromagnetic situation assessment index value based on the constructed electromagnetic situation assessment index system and using the radiation intensity value of each grid point after fusion;

[0118] The electromagnetic situation assessment and application module is used to assess the electromagnetic situation in the monitoring area according to the electromagnetic situation assessment index value, obtain the electromagnetic situation assessment results, apply the electromagnetic situation assessment results to different scenarios, and provide support for decision-making.

[0119] It should be noted that, for the detailed description of a grid-based multi-source electromagnetic situation fusion and assessment system provided in an embodiment of the present invention, reference can be made to the relevant description of a grid-based multi-source electromagnetic situation fusion and assessment method provided in an embodiment of the present application, which will not be repeated here.

[0120] In addition, an embodiment of the present invention also provides an electronic device, comprising: a processor and a memory; the memory is used to store one or more program instructions; the processor is used to run one or more program instructions to execute the steps of a grid-based multi-source electromagnetic situation fusion and assessment method as described in any of the above items.

[0121] It should be noted that, for the detailed description of an electronic device provided in an embodiment of the present invention, reference can be made to the relevant description of a grid-based multi-source electromagnetic situation fusion and assessment method provided in an embodiment of the present application, which will not be repeated here.

[0122] In addition, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of a grid-based multi-source electromagnetic situation fusion and assessment method as described in any of the above items are implemented.

[0123] It should be noted that, for a detailed description of a computer-readable storage medium provided in an embodiment of the present invention, reference can be made to the relevant description of a grid-based multi-source electromagnetic situation fusion and assessment method provided in an embodiment of the present application, which will not be repeated here.

[0124] Those skilled in the art will appreciate that all or part of the functions of the various methods in the above-mentioned embodiments can be implemented by hardware or by computer programs. When all or part of the functions in the above-mentioned embodiments are implemented by computer programs, the program can be stored in a computer-readable storage medium, and the storage medium can include: read-only memory, random access memory, disk, optical disk, hard disk, etc., and the program is executed by a computer to implement the above-mentioned functions. For example, the program is stored in the memory of the device, and when the program in the memory is executed by the processor, all or part of the above-mentioned functions can be implemented. In addition, when all or part of the functions in the above-mentioned embodiments are implemented by computer programs, the program can also be stored in a storage medium such as a server, another computer, disk, optical disk, flash disk or mobile hard disk, and can be downloaded or copied and saved in the memory of the local device, or the system of the local device is updated, and when the program in the memory is executed by the processor, all or part of the functions in the above-mentioned embodiments can be implemented.

[0125] The above specific examples are used to illustrate the present invention, which are only used to help understand the present invention and are not used to limit the present invention. For those skilled in the art to which the present invention belongs, some simple deductions, modifications or substitutions can be made according to the idea of ​​the present invention.

Claims

1. A grid-based multi-source electromagnetic situation fusion and assessment method, characterized in that: The method comprises: Divide the target monitoring area into grids and obtain all grid points after division; Acquire all electromagnetic sources in the target monitoring area, and calculate the radiation intensity of the electromagnetic source-grid point to obtain the radiation intensity value of each grid point under multiple different electromagnetic sources; The radiation intensity values ​​of each grid point under multiple different electromagnetic sources are fused and calculated to obtain the fused radiation intensity value of each grid point; Based on the constructed electromagnetic situation assessment index system, the electromagnetic situation assessment index value is calculated using the fused radiation intensity value of each grid point; Assess the electromagnetic situation in the monitoring area according to the electromagnetic situation assessment index value, obtain the electromagnetic situation assessment results, apply the electromagnetic situation assessment results to different scenarios, and provide support for decision-making.

2. A grid-based multi-source electromagnetic situation fusion and assessment method as claimed in claim 1, characterized in that: Divide the target monitoring area into grids and obtain all grid points after division, including: Determine the appropriate grid division method, including uniform grid division or non-uniform grid division, based on the geographical shape, area size and electromagnetic source distribution of the target monitoring area; Each grid point is assigned a unique identifier, and a grid point data storage structure is established to store grid-related data.

3. The grid-based multi-source electromagnetic situation fusion and assessment method according to claim 1, characterized in that: Obtain all electromagnetic sources in the target monitoring area, and calculate the radiation intensity of the electromagnetic source-grid point to obtain the radiation intensity value of each grid point under multiple different electromagnetic sources, specifically including: Identify all electromagnetic radiation sources within the target monitoring area and collect detailed parameters of each electromagnetic source; Select appropriate empirical model of electromagnetic radiation propagation according to the type of electromagnetic source and the characteristics of the propagation environment; For each electromagnetic source and each grid point, the electromagnetic source parameters and the coordinate information of the grid point are substituted into the selected empirical model to calculate the radiation intensity from each electromagnetic source to each grid point.

4. A grid-based multi-source electromagnetic situation fusion and assessment method as claimed in claim 3, characterized in that: According to the type of electromagnetic source and the characteristics of the propagation environment, select an appropriate electromagnetic radiation propagation empirical model, including: For point source radiation in free space, the Friis transmission formula is used; for ground-to-air propagation scenarios, the Longley-Rice model is selected; for urban electromagnetic environment radiation models, the COST-231Hata model is selected.

5. The grid-based multi-source electromagnetic situation fusion and assessment method according to claim 1, characterized in that: The radiation intensity values ​​of each grid point under multiple different electromagnetic sources are weighted and fused to obtain the radiation intensity value of each grid point after fusion, including: Data preprocessing is performed before fusion, including checking whether the calculated radiation intensity values ​​contain outliers; marking intensity values ​​that exceed the normal range as outliers by setting a reasonable threshold range; and correcting or replacing outliers by using interpolation methods or estimation methods based on adjacent grid point data.

6. The grid-based multi-source electromagnetic situation fusion and assessment method according to claim 1, characterized in that: The radiation intensity values ​​of each grid point under multiple different electromagnetic sources are fused and calculated to obtain the fused radiation intensity value of each grid point, including: The fusion calculation methods include weighted average fusion algorithm and fusion algorithm based on evidence theory; For the weighted fusion algorithm, the weights are determined based on a variety of factors including the reliability of the electromagnetic source, the distance from the grid point, and the power of the source; For the fusion algorithm based on evidence theory, the radiation intensity of each electromagnetic source at the grid point is used as evidence, and the fusion is performed by calculating the credibility and support of the evidence to obtain the fusion result.

7. The grid-based multi-source electromagnetic situation fusion and assessment method according to claim 1, characterized in that: Based on the constructed electromagnetic situation assessment index system, the electromagnetic situation assessment index value is calculated using the fused radiation intensity value of each grid point, including: The electromagnetic situation assessment index system includes: electromagnetic intensity mean, electromagnetic variance, uniformity of electromagnetic intensity spatial distribution, and electromagnetic source density.

8. A grid-based multi-source electromagnetic situation fusion and assessment system, characterized in that: The system comprises: The gridding module is used to divide the target monitoring area into grids and obtain all the grid points after division; A radiation intensity calculation module is used to obtain all electromagnetic sources in the target monitoring area, and perform radiation intensity calculations between electromagnetic sources and grid points to obtain radiation intensity values ​​of each grid point under multiple different electromagnetic sources; The radiation intensity fusion module is used to perform fusion calculation on the radiation intensity values ​​of each grid point under multiple different electromagnetic sources to obtain the fused radiation intensity value of each grid point; An electromagnetic situation assessment index calculation module is used to calculate the electromagnetic situation assessment index value based on the constructed electromagnetic situation assessment index system and using the radiation intensity value of each grid point after fusion; The electromagnetic situation assessment and application module is used to assess the electromagnetic situation in the monitoring area according to the electromagnetic situation assessment index value, obtain the electromagnetic situation assessment results, apply the electromagnetic situation assessment results to different scenarios, and provide support for decision-making.

9. An electronic device, characterized in that: The device comprises: a processor and a memory; The memory is used to store one or more program instructions; The processor is used to run one or more program instructions to execute the steps of a grid-based multi-source electromagnetic situation fusion and assessment method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a grid-based multi-source electromagnetic situation fusion and assessment method as described in any one of claims 1 to 7.

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