A ground target threat heat map visualization method

Abstract

This invention discloses a method for visualizing ground target threat heatmaps, belonging to the field of threat situation assessment technology, and mainly solving the problem of the lack of intuitiveness in ground target threat situation. The solution involves: dividing the ground area into grids and calculating the initial influence domain of situation members; quantifying ground target threat factors and calculating their weights; calculating ground threat hotspot values ​​based on an improved kernel density estimation method; and displaying the ground target threat heatmap based on the calculated ground threat hotspot values. This invention proposes a specific calculation method for the ground target threat situation influence index, and proposes an improved kernel density estimation method combined with terrain factors to calculate the threat value at each point on the ground, generating a ground threat heatmap, enabling commanders to intuitively judge the ground target threat situation, thereby effectively supporting operational decision-making.

Description

Technical Field

[0001] This invention relates to the field of threat situation assessment technology, and in particular to a ground target threat heat map visualization method, which enables commanders to intuitively grasp the target threat situation and make effective combat decisions. Background Technology

[0002] In large-scale modern threat situation assessments, the situation map contains a large number of participants and complex information. Accurate and real-time assessment of the threat situation of ground targets is crucial for the rational implementation of mission planning and online command and control based on the real-time threat situation, ensuring the successful completion of missions. An intuitive target threat situation can quickly capture the commander's attention, allowing them to immediately identify the location and severity of threats, providing timely and effective intelligence support for decision-making.

[0003] Existing threat assessment models include fuzzy set theory, analytic hierarchy process (AHP), linear weighted method, and TOPSIS. These models quantify and calculate the threat factors and weights of targets, comprehensively determine the threat level of targets, and rank the targets by threat. However, these threat assessment algorithms only calculate the threat ranking of targets and cannot intuitively express the threat situation, making it difficult to provide effective information support for decision-making. Summary of the Invention

[0004] This invention provides a method for visualizing ground target threat heatmaps to solve the problem of unintuitive ground target threat situation, enabling commanders to intuitively judge the target threat situation and thus make effective combat decisions.

[0005] The technical solution adopted in this invention is as follows:

[0006] A method for visualizing ground target threat heatmaps includes the following steps:

[0007] (1) Divide the ground site into grids and calculate the initial influence domain of the blue team's ground target;

[0008] (2) Quantify the threat factors of ground targets and calculate the threat value and weight of each target threat factor;

[0009] (3) If our platform is located within the initial influence domain of the blue ground target at the current grid center, then the ground threat hotspot value is calculated using the threat value and weight of each target threat factor based on the improved kernel density estimation method.

[0010] (4) Display the ground target threat heat map based on the calculated ground threat hotspot values.

[0011] Furthermore, step (1) includes the following process:

[0012] (1a) Divide the ground site into grids. Based on the grid network, update the coordinates of the blue target on the ground to the coordinates of the center point of the grid. Construct a hotspot value accumulation matrix with the same grid size as the grid. p and q are the number of grid cells in the grid network, respectively. Representing coordinates The accumulated value of the density estimate within the grid, in the initial state. ;

[0013] (1b) Based on the set distance threshold And grid width, calculate the influence distance of each blue team ground target in The number of grid cells within the range.

[0014] Furthermore, in step (1b), the distance threshold Determined based on the maximum range performance parameters of the target's firepower equipment.

[0015] Furthermore, in step (2), the ground target threat factors include fire kill radius, fire movement speed, fire rate of fire, fire strike accuracy and fire transfer time, and the threat value of each threat factor is calculated;

[0016] The weights of target threat factors are calculated using the pecking order graph method, specifically as follows:

[0017] (2a) The importance of each threat factor is scored multiple times, and the average importance of each threat factor is calculated;

[0018] (2b) Compare the average importance of the threat elements pairwise to calculate the importance matrix. = Elements in the matrix for:

[0019]

[0020] Where n is the number of threat elements, , and The respective Individual and The average importance of each threat element;

[0021] (2c) Summing the elements in each row of the importance matrix to obtain the TTL value for each threat factor. And calculate the weight of each threat factor. .

[0022] Furthermore, step (3) includes the following process:

[0023] (3a) If our platform is located within the initial influence domain of the blue team's ground target at the current grid center point, calculate the comprehensive threat value of the blue team's target to our platform at the current grid center point. for:

[0024]

[0025] In the formula, This indicates the effective factor of threat impact, which varies depending on the terrain and geomorphology. and These represent the row and column numbers of the current grid cell, respectively. , ; Indicates the first The threat contribution value of each blue team target to the current grid; , This indicates the number of blue team targets detected by our platform; Indicates the first The spatial distance from each blue target to the current grid center point; It is the first The maximum strike range of each blue team target; yes about The function is represented using a classic quartic polynomial function. It is the first Each blue team's target influence weighting item;

[0026]

[0027] In the formula, Threat value for firepower lethality. Threat value for firepower movement speed. Threat value for rate of fire. Threat value for firepower accuracy. Threat value for firepower transfer time;

[0028] (3b) Traverse all blue team targets and repeat step (3a) to obtain the final ground hotspot value accumulation matrix at the current time. ;

[0029] (3c) Standardize the values ​​in the matrix to obtain the standardized matrix of ground hotspot values. ,in,

[0030] .

[0031] Compared with the prior art, the present invention has the following advantages:

[0032] 1. This invention constructs a ground target threat assessment model based on fire kill radius, fire movement speed, fire rate of fire, fire strike accuracy, and fire transfer time, which can effectively calculate the degree of threat posed by enemy equipment to our side;

[0033] 2. This invention proposes an improved kernel density estimation method that incorporates topographic and geomorphological factors, which can effectively calculate the threat hotspot values ​​at various points on the ground;

[0034] 3. When calculating the threat influence range of the situation members, this invention selects different distance thresholds according to the equipment parameters of different targets. This method can intuitively display the threat situation, support the analysis of strengths and weaknesses, and effectively support the commander's decision-making. Attached Figure Description

[0035] Figure 1 This is a flowchart of the weighted kernel density estimation method of the present invention for solving ground threat hotspot values. Detailed Implementation

[0036] The implementation process and effects of the present invention will be further described in detail below with reference to the accompanying drawings.

[0037] The implementation steps of this invention are as follows:

[0038] Step 1: Divide the ground site into grids and calculate the initial influence domain of the situation members (blue team ground targets);

[0039] (1a) Calculate coordinate points. Based on the divided grid network, update the coordinates of the situation members to the coordinates of the center point of their respective grids, and construct a ground hotspot value accumulation matrix with the same grid size. p and q represent the number of grid divisions (horizontal and vertical). Representing coordinates The accumulated value of the density estimate within the grid, in the initial state. ;

[0040] (1b) Calculate the influence domain of situational members. Based on the distance threshold... And grid width, calculate the distance that each situation member can affect. All grid cells within the range; here, different targets use different distance thresholds based on their equipment firepower performance parameters. Determined based on the maximum range performance parameters of the target's firepower equipment.

[0041] Step 2: Quantify the threat factors of ground targets and calculate the threat value and weight of each target threat factor;

[0042] (2a) Quantification of ground target threat factors. Ground target threat factors mainly include fire kill radius, fire speed, fire rate of fire, fire strike accuracy, and fire transfer time.

[0043] The larger the radius of firepower's lethality, the greater its threat level. The larger.

[0044]

[0045] The faster the firepower platform moves, the greater its threat level. The larger,

[0046]

[0047] Rate of fire refers to the number of shells fired per minute; the higher the value, the greater the threat level. The larger,

[0048]

[0049] The smaller the accuracy error of the fire strike, the lower its threat level. The larger,

[0050]

[0051] The shorter the time for fire strike relocation, the lower its threat level. The larger,

[0052]

[0053] (2b) Threat factor weights are calculated using the priority graph method.

[0054] Have multiple experts score the importance of each threat factor, and calculate the average importance of each threat factor;

[0055] The importance matrix is ​​calculated by pairwise comparison of the average importance of each threat element. = Elements in the matrix for:

[0056]

[0057] Where n is the number of threat elements, , and The respective Individual and The average importance of each threat element;

[0058] The TTL value for each threat factor is obtained by summing the elements in each row of the importance matrix. And calculate the weight of each threat factor. .

[0059] Step 3: If our platform is located within the initial influence domain of the blue team's ground target at the current grid center, then calculate the ground threat hotspot value based on the improved kernel density estimation method;

[0060] (3a) Calculate the situational awareness member density contribution value. If our platform is located within the initial influence domain of the blue force ground target at the current grid center location, calculate the comprehensive threat value of the blue force target to our platform at the current grid center location. for:

[0061]

[0062]

[0063] In the formula, This indicates the effective factor of threat impact, which varies depending on the terrain and geomorphology. and These represent the row and column numbers of the current grid cell, respectively. , ; Indicates the first The threat contribution value of each blue team target to the current grid; , This indicates the number of blue team targets detected by our platform; Indicates the first The spatial distance from each blue target to the current grid center point; It is the first The maximum strike range of each blue team target; yes about The function is represented using a classic quartic polynomial function. It is the first Each blue team's target influence weighting item;

[0064]

[0065] (3b) Traverse all blue team targets and repeat step (3a) to obtain the final hotspot value accumulation matrix at the current time. ;

[0066] (3c) Standardize the values ​​in the matrix to obtain the hotspot value standardized matrix. ,in,

[0067] .

[0068] Step 4: Display the ground target threat heat map based on the calculated ground threat hotspot values.

[0069] Based on the current threat hotspot value matrix Create a threat heatmap. The heatmap should primarily consist of red, green, and blue colors, with gentle gradients between these colors to represent continuous changes in heat intensity. Areas with high threat values ​​should be represented in red, while areas with low threat values ​​should be represented in blue.

Claims

1. A method for visualizing ground target threat heatmaps, characterized in that, Includes the following steps: (1) Divide the ground site into grids and calculate the initial influence domain of the blue team's ground target; (2) Quantify the threat factors of ground targets and calculate the threat value and weight of each target threat factor; (3) If our platform is located within the initial influence domain of the blue ground target at the current grid center, then the ground threat hotspot value is calculated using the threat value and weight of each target threat factor based on the improved kernel density estimation method. (4) Display a ground target threat heat map based on the calculated ground threat hotspot values; In step (2), the ground target threat factors include fire kill radius, fire movement speed, fire rate of fire, fire strike accuracy and fire transfer time, and the threat value of each threat factor is calculated. The weights of target threat factors are calculated using the pecking order graph method, specifically as follows: (2a) The importance of each threat factor is scored multiple times, and the average importance of each threat factor is calculated; (2b) The average of the importance of the threat elements is compared pairwise, and an importance matrix is calculated = , the elements of which are ​ wherein n is the number of threat elements, , and the average of the importance of the th and th threat element, respectively. (2c) Summing the elements in each row of the importance matrix to obtain a TTL value for each threat factor and calculating a weight for each threat factor ; Step (3) includes the following process: (3a) If our platform is located within the initial influence domain of the blue team's ground target at the current grid center point, calculate the comprehensive threat value of the blue team's target to our platform at the current grid center point. for: In the formula, This indicates the effective factor of threat impact, which varies depending on the terrain and geomorphology. and These represent the row and column numbers of the current grid cell, respectively. , ; Indicates the first The threat contribution value of each blue team target to the current grid; , This indicates the number of blue team targets detected by our platform; Indicates the first The spatial distance from each blue target to the current grid center point; It is the first The maximum strike range of each blue team target; yes about The function is represented using a classic quartic polynomial function. It is the first Each blue team's target influence weighting item; In the formula, Threat value for firepower lethality. Threat value for firepower movement speed. Threat value for rate of fire. Threat value for firepower accuracy. Threat value for firepower transfer time; (3b) Traverse all blue team targets and repeat step (3a) to obtain the final ground hotspot value accumulation matrix at the current time. ; (3c) Standardizing the values in the matrix to obtain a ground hotspot value standardized matrix wherein, 。 2. The method of ground target threat heat map visualization of claim 1, wherein, Step (1) includes the following process: (1a) Divide the ground site into grids. Based on the grid network, update the coordinates of the blue target on the ground to the coordinates of the center point of the grid. Construct a hotspot value accumulation matrix with the same grid size as the grid. p and q are the number of grid cells in the grid network, respectively. Representing coordinates The accumulated value of the density estimate within the grid, in the initial state. ; (1b) Based on the set distance threshold And grid width, calculate the influence distance of each blue team ground target in The number of grid cells within the range.

3. The method of ground target threat heat map visualization of claim 2, wherein, In step (1b), the distance threshold Determined based on the maximum range performance parameters of the target's firepower equipment.

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