A method and system for ground projection of natural disasters

Abstract

The present invention relates to the technical field of ground projection, and discloses a natural disaster ground projection method and system, including setting M projection devices and N interference devices in a target exhibition hall; during the time period when a target disaster occurs, establishing a disaster experience area, and collecting video data in M - 1 directions of the disaster experience area and video data of the disaster experience area; projecting the video data in M - 1 directions and the video data of the disaster experience area onto the target exhibition hall through M projection devices to obtain an image display of the target disaster; dividing the ground of the target exhibition hall into N sub - regions, arranging the N interference devices one by one in the N sub - regions, and determining the interference factor of each sub - region in sequence based on the video data of each sub - region, so as to control the interference intensity of the corresponding interference device based on the interference factor to obtain a feeling display of the target disaster.

Description

Technical Field

[0001] The present invention relates to the technical field of ground projection, and more specifically, to a method and system for ground projection of natural disasters. Background Art

[0002] Ground projection of natural disasters is a visual disaster display system for intuitively popularizing and demonstrating natural disasters to users. In the prior art, a visual area and a standing sensing area are divided. When a user is in the standing sensing area, a natural disaster video is played in the visual area. However, the prior art has problems such as poor interactivity, unrealistic experience, and poor effects of disaster popularization and demonstration. Summary of the Invention

[0003] The present invention provides a method and system for ground projection of natural disasters to solve the technical problems raised in the background art.

[0004] In a first aspect, the present invention provides a ground projection system for natural disasters, comprising:

[0005] A disaster display module, including M projection devices and N interference devices in a target exhibition hall;

[0006] A data acquisition module, configured to establish a disaster sensing area during a target disaster occurrence period, and acquire video data in M-1 directions of the disaster sensing area and video data of the disaster sensing area;

[0007] A data projection module, configured to project the video data in M-1 directions and the video data of the disaster sensing area onto the target exhibition hall through M projection devices to obtain an image display of the target disaster;

[0008] A data interference module, configured to divide the ground of the target exhibition hall into N sub-areas, deploy the N interference devices one by one in the N sub-areas, and determine the interference factor of each sub-area sequence based on the video data of each sub-area, so as to control the interference intensity of the corresponding interference device based on the interference factor to obtain a feeling display of the target disaster.

[0009] Preferably, M is an integer greater than or equal to 2.

[0010] Preferably, projecting the video data in M-1 directions and the video data of the disaster sensing area onto the target exhibition hall through M projection devices includes:

[0011] One of the M projection devices is used to project the video data of the disaster sensing area, and the video data of the disaster sensing area is correspondingly projected onto the ground of the target exhibition hall;

[0012] Among the M projection devices, M - 1 projection devices are used to project video data in M - 1 directions around the disaster perception area, and the video data in the M - 1 directions is correspondingly projected onto the side walls and the top wall of the target exhibition hall.

[0013] Preferably, determining the interference factor for each sub - region's time series based on the video data of each sub - region includes:

[0014] Correspondingly project the video data of the disaster perception area onto the ground of the target exhibition hall, and obtain P projected images of the nth sub - region's time series at fixed time intervals; 1 ≤ n ≤ N, and n is a positive integer;

[0015] Perform interference analysis on the pth projected image of the nth region, including:

[0016] Obtain the reference image corresponding to the kth projected image in the disaster perception area; wherein, the reference image represents the image of the nth sub - region among the N sub - regions obtained by equally dividing the disaster perception area corresponding to the ground of the target exhibition hall during the time period when no disaster occurred, 1 ≤ p ≤ P, and p is a positive integer;

[0017] Perform edge detection on the pth projected image of the nth region and the reference image respectively to obtain the first edge matrix and the second edge matrix;

[0018] Among them, both the first edge matrix and the second edge matrix are binary matrices, where the element 1 represents the edge element obtained based on edge detection, and the element 0 represents the non - edge element;

[0019] Initialize and generate an interference convolution kernel. The size of the interference convolution kernel is X rows and B columns, and the moving step size is L; where the number of rows of the convolution kernel is less than the number of rows of the first edge matrix or the second edge matrix, and the number of columns of the convolution kernel is less than the number of columns of the first edge matrix or the second edge matrix; X, B, and L are all positive integers, and , min represents the operation of taking the minimum value;

[0020] Perform convolution extraction on the first edge matrix and the second edge matrix respectively based on the interference convolution kernel to obtain the first convolution matrix and the second convolution matrix;

[0021] Calculate the Euclidean distance between the first convolution matrix and the second convolution matrix to obtain the value of the interference factor of the pth projected image of the nth region.

[0022] Preferably, the interference intensity of the interference device is used to quantify the movement complexity of the user within the sub - region;

[0023] The interference device includes a morphological interference sub - component and a motion interference sub - component;

[0024] The interference intensity includes morphological interference intensity and motion interference intensity;

[0025] The morphological interference intensity is used to adjust the morphological structure of the morphological interference sub-components in the sub-region;

[0026] The motion interference intensity is used to adjust the vibration frequency amplitude of the motion interference sub-components in the sub-region.

[0027] Preferably, the morphological structure of the morphological interference sub-components includes the height and frictional resistance of the morphological interference sub-components; the vibration frequency amplitude of the motion interference sub-components includes the vibration frequency and vibration amplitude of the motion interference sub-components.

[0028] Preferably, controlling the interference intensity of the corresponding interference device based on the interference factor includes:

[0029] Obtaining the values of the interference factors for each sub-region time series;

[0030] Randomly selecting K unequal values of the interference factors for each sub-region time series as the clustering centers, and performing K-means clustering to divide the interference factors into K categories based on the values of the interference factors;

[0031] Obtaining the mean values of the interference factor values in the K categories and arranging them in ascending order to obtain the interference level gradient; for any two adjacent interference level gradients, the differences in the height and frictional resistance of the morphological interference sub-components, and the vibration frequency and vibration amplitude of the motion interference sub-components in the corresponding sub-regions are fixed parameters.

[0032] Preferably, N is an integer greater than 0.

[0033] Preferably, for the morphological interference sub-components and motion interference sub-components of the nth sub-region, the morphological interference sub-components are fixedly installed on the top of the motion interference sub-components.

[0034] In a second aspect, a natural disaster ground projection method is applied to any one of the natural disaster ground projection systems described above, and includes:

[0035] Step 1, setting M projection devices and N interference devices in the target exhibition hall;

[0036] Step 2, establishing a disaster experience area during the target disaster occurrence time period, and collecting video data in M - 1 directions of the disaster experience area and video data of the disaster experience area;

[0037] Step 3, projecting the video data in M - 1 directions and the video data of the disaster experience area onto the target exhibition hall through M projection devices to obtain an image display of the target disaster;

[0038] Step 4: Divide the floor of the target exhibition hall into N sub - regions, deploy N interference devices one by one in the N sub - regions, and determine the interference factors of each sub - region in sequence based on the video data of each sub - region, so as to control the interference intensity of the corresponding interference device based on the interference factors, and obtain the display of the target disaster experience.

[0039] The beneficial effects of the present invention are as follows: By combining multi - angle projection and dynamic regulation of interference devices, the real reproduction of natural disaster scenes is realized. It not only intuitively displays disaster images, but also can adjust the display effect in real time according to the movement of users in different regions, greatly improving the interactivity, immersion of the display, as well as the effect of disaster popularization and display. Brief Description of the Drawings

[0040] Figure 1 is a module diagram of a natural disaster ground projection system of the present invention.

[0041] Figure 2 is a working flowchart of a natural disaster ground projection system of the present invention.

[0042] Figure 3 is a schematic diagram of the interference device of the present invention.

[0043] Figure 4 is a schematic diagram of the target exhibition hall of the present invention. Detailed Embodiments

[0044] Now, the subject matter described herein will be discussed with reference to exemplary embodiments. It should be understood that discussing these embodiments is only to enable those skilled in the art to better understand and thus implement the subject matter described herein. Without departing from the scope of protection of the content of this specification, changes can be made to the functions and arrangements of the elements discussed. Each example can omit, substitute, or add various processes or components as needed. Additionally, the features described relative to some examples can also be combined in other examples.

[0045] As Figure 1 shown, a natural disaster ground projection system includes:

[0046] A disaster display module, including M projection devices and N interference devices in the target exhibition hall;

[0047] A data acquisition module, which is used to establish a disaster experience area during the occurrence period of the target disaster, and collect the video data of the disaster experience area in M - 1 directions and the video data of the disaster experience area;

[0048] A data projection module, which is used to project the video data in M - 1 directions and the video data of the disaster experience area onto the target exhibition hall through M projection devices to obtain the image display of the target disaster;

[0049] A data interference module, configured to divide the ground of the target exhibition hall into N sub-regions, deploy N interference devices one by one in the N sub-regions, and determine the interference factors of each sub-region's time series based on the video data of each sub-region, so as to control the interference intensity of the corresponding interference device based on the interference factors, and obtain the feeling display of the target disaster.

[0050] In an embodiment of the present invention, M is an integer greater than or equal to 2.

[0051] Specifically, at least two projection devices are required. One is used to project the video data of the disaster feeling area onto the ground, and at least one other is used to project the video data in the side wall direction, so as to achieve a three-dimensional display effect and enhance the overall visual immersion.

[0052] In an embodiment of the present invention, the video data in M - 1 directions and the video data of the disaster feeling area are projected onto the target exhibition hall through M projection devices, including:

[0053] One of the M projection devices is used to project the video data of the disaster feeling area, and the video data of the disaster feeling area is correspondingly projected onto the ground of the target exhibition hall;

[0054] M - 1 of the M projection devices are used to project the video data in M - 1 directions around the disaster feeling area, and the video data in M - 1 directions is correspondingly projected onto the side walls and the top wall of the target exhibition hall.

[0055] In a preferred embodiment of the present invention, by setting the projection priority of the video data, a display effect more in line with the actual situation of the disaster is achieved. Among them, the video data of the disaster feeling area is given the highest priority to ensure that the ground display has the strongest intuitive shock; and among the video data in each direction, the video data closest to the disaster approaching direction is preferentially selected and arranged in descending order of priority, so that the entire projection system can more accurately reflect the disaster dynamics and provide a more layered and immersive experience for users.

[0056] In an embodiment of the present invention, determining the interference factors of each sub-region's time series based on the video data of each sub-region includes:

[0057] Correspondingly project the video data of the disaster feeling area onto the ground of the target exhibition hall, and obtain P projection images of the nth sub-region's time series at fixed time intervals; 1 ≤ n ≤ N, and n is a positive integer;

[0058] Perform interference analysis on the pth projection image of the nth region, including:

[0059] Obtain a reference image corresponding to the k-th projected image for the disaster-affected area; where the reference image represents the image of the n-th sub-region among the N sub-regions obtained by equally dividing the ground corresponding to the disaster-affected area in the target exhibition hall during a period without disasters, 1 ≤ p ≤ P, and p is a positive integer;

[0060] Perform edge detection on the p-th projected image of the n-th sub-region and the reference image respectively to obtain a first edge matrix and a second edge matrix;

[0061] Among them, both the first edge matrix and the second edge matrix are binary matrices, where the element 1 represents an edge element obtained by edge detection, and the element 0 represents a non-edge element;

[0062] Initialize and generate an interference convolution kernel. The size of the interference convolution kernel is X rows and B columns, and the moving step size is L; where the number of rows of the convolution kernel is less than the number of rows of the first edge matrix or the second edge matrix, and the number of columns of the convolution kernel is less than the number of columns of the first edge matrix or the second edge matrix; X, B, and L are all positive integers, and , min represents the operation of taking the minimum value;

[0063] Perform convolution extraction on the first edge matrix and the second edge matrix respectively based on the interference convolution kernel to obtain a first convolution matrix and a second convolution matrix;

[0064] Calculate the Euclidean distance between the first convolution matrix and the second convolution matrix to obtain the value of the interference factor of the p-th projected image of the n-th sub-region.

[0065] For example, in a certain exhibition hall, the ground is evenly divided into N sub-regions (for example, N = 4), and each region serves as an independent display unit. During a disaster, projected images within each sub-region are collected at fixed time intervals (such as every 1 second). Assuming that P = 10 images are collected within each sub-region in 10 seconds, this forms a temporal image sequence.

[0066] For comparative analysis, in the normal state before the disaster, the exhibition hall ground is also divided into the same N sub-regions as during the disaster for projection, and reference images are collected. For example, for sub-region 1, an image at a certain moment before the disaster is selected as the reference image, and this image undergoes the same segmentation process to ensure consistency in structure and scale with the images during the disaster state.

[0067] For the p-th projected image collected in sub-region 1, after processing with an edge detection algorithm (such as the Canny algorithm), a binary matrix is obtained, where the pixel value 1 represents the detected edge, and 0 represents the non-edge region. At the same time, the corresponding reference image is also processed with the same edge detection to generate a second binary matrix.

[0068] In the case where the above-mentioned edge matrices are all 100×100 pixels, an interference convolution kernel is initialized with a size of X = 10 rows and B = 10 columns, and a moving step size of L = 2. The convolution kernel slides on each binary matrix, and the edge values in the local area are weighted and summed to generate a first convolution matrix (corresponding to the current image) and a second convolution matrix (corresponding to the reference image). This convolution operation can aggregate local edge information into feature descriptions at a smaller scale.

[0069] When calculating the value of the interference factor, the Euclidean distance between the corresponding positions of the first convolution matrix and the second convolution matrix is calculated. The Euclidean distance is used here as an index to measure the difference in the local edge structure of two images. If the two matrices are similar and the Euclidean distance is small, it indicates that the structural change between the currently projected image and the reference image is not significant, and the value of the corresponding interference factor is low. If the difference between the two matrices is large and the Euclidean distance increases, it indicates that the image in the current area has changed significantly, and the value of the corresponding interference factor is high. For example, for the p-th image obtained from the video data projected in sub-region 1, the interference factor calculated is d. If d is large, it indicates that the edge features in this area have changed significantly under the disaster state, which may be related to the enhanced impact of the disaster. The system can adjust the interference intensity of the interference device according to this interference factor, so as to achieve a more dynamic and realistic display of the disaster experience.

[0070] As Figure 2 shown, in an embodiment of the present invention, the system pre-sets an initial sub-region as the starting position of the user in the target exhibition hall. When the target disaster strikes, the user is initially in this position. During the video data projection, the system allows the user to move towards the sub-region considered safe, but at the same time, the system controls the interference device to obstruct the user according to the interference factor. When the video data projection ends, if the user finally locates in the safe sub-region, it is considered that the user has successfully coped with the target disaster; otherwise, it is considered a failure.

[0071] In an embodiment of the present invention, the system pre-sets a safety threshold to distinguish the safety of sub-regions. Specifically, the interference factor corresponding to the K-th projected image of the video data of each sub-region is determined. When the value of this interference factor is greater than or equal to the preset safety threshold, the sub-region is determined as a non-safe region; otherwise, the sub-region is determined as a safe region.

[0072] In an embodiment of the present invention, the interference intensity of the interference device is used to quantify the movement complexity of the user in the sub-region;

[0073] The interference device includes a morphological interference sub-component and a motion interference sub-component;

[0074] The interference intensity includes a morphological interference intensity and a motion interference intensity;

[0075] The morphological interference intensity is used to adjust the morphological structure of the morphological interference sub-component in the sub-region;

[0076] The motion interference intensity is used to adjust the vibration frequency amplitude of the motion interference sub-component in the sub-region.

[0077] In an embodiment of the present invention, the morphological structure of the morphological interference sub-component includes the height and frictional resistance of the morphological interference sub-component; the vibration frequency amplitude of the motion interference sub-component includes the vibration frequency and vibration amplitude of the motion interference sub-component.

[0078] The system uses the interference intensity of the interference device to quantify the movement complexity of the user in each sub-region. Thus, it interferes with the user's movement in the target exhibition hall. Specifically, the interference device includes a morphological interference sub-component and a motion interference sub-component. The morphological interference sub-component is responsible for adjusting the static structural characteristics in the display area, such as height, shape, or frictional resistance, etc. The motion interference sub-component is used to control the dynamic characteristics of the vibration feedback, including the vibration frequency and vibration amplitude.

[0079] In an embodiment of the present invention, controlling the interference intensity of the corresponding interference device based on the interference factor includes:

[0080] Obtaining the value of the interference factor for each sub-region time series;

[0081] Randomly select K unequal values from the values of the interference factor for each sub-region time series as the clustering centers, and perform K-means clustering to divide the interference factor into K categories based on the value of the interference factor;

[0082] Obtain the mean value of the interference factor values in the K categories, and arrange them in ascending order to obtain the interference level gradient; for any two adjacent interference level gradients, the differences in the height and frictional resistance of the morphological interference sub-component, and the vibration frequency and vibration amplitude of the motion interference sub-component in the corresponding sub-region are all fixed parameters.

[0083] In an embodiment of the present invention, the application steps of the K-means clustering algorithm are as follows: The system first randomly selects K unequal values from the interference factors of each sub-region as the initial clustering centers. These initial values represent different interference intensity levels. All interference factors are assigned to the cluster represented by the nearest clustering center according to the Euclidean distance from the clustering center. After each round of iteration, recalculate the mean value of the interference factors within each cluster and use it as the new clustering center. Repeat the assignment and update steps until the clustering centers no longer change significantly, and finally form K interference factor categories.

[0084] In an embodiment of the present invention, the system controls the interference intensity of the interference device based on the value of the interference factor, and the specific process is as follows:

[0085] The system first obtains the interference factors of each sub-region at different times, so as to obtain the specific value range of the interference factors.

[0086] For the values of the interference factors of each sub-region, the system randomly selects K unequal initial clustering centers. Then, the interference factors are divided into K categories, and each category represents a different interference intensity.

[0087] For each category, the system calculates the mean value of all the interference factors in this category and arranges these mean values in ascending order. Thus, the interference level gradient of each category is obtained.

[0088] According to the interference level gradient, the system divides the interference factors into different levels.

[0089] For example, for the morphological interference sub-component of the sub-region with an interference level gradient of a, the height is 10 and the frictional resistance is 20, and the vibration frequency of the motion interference sub-component is 30 and the vibration amplitude is 40. Then, for the morphological interference sub-component of the sub-region with an interference level gradient of a + 1, the height is 15 and the frictional resistance is 16, and the vibration frequency of the motion interference sub-component is 34 and the vibration amplitude is 46. Among them, both a and a + 1 are indexes of K. Then the fixed parameters are 5, -4, 4, and 6 respectively.

[0090] In an embodiment of the present invention, N is an integer greater than 0.

[0091] In an embodiment of the present invention, for the morphological interference sub-component and the motion interference sub-component of the nth sub-region, the morphological interference sub-component is fixedly installed on the top of the motion interference sub-component.

[0092] As Figure 3 shown, in a preferred embodiment of the present invention, the morphological interference sub-component adopts a transparent airbag, and the motion interference sub-component is a vibrating plate. The transparent airbag is fixedly installed on the top of the vibrating plate and is connected to the vibrating plate through an air filling pipe. The air filling pipe is used to adjust the expansion and contraction of the transparent airbag, so as to control its height change and the adjustment of the surface friction force. The vibrating plate controls the vibration frequency and vibration amplitude based on wireless communication.

[0093] A method for natural disaster ground projection, applied to the natural disaster ground projection system described above, includes:

[0094] Step 1, set M projection devices and N interference devices in the target exhibition hall;

[0095] Step 2, during the target disaster occurrence time period, establish a disaster experience area, and collect video data of the disaster experience area in M - 1 directions and the video data of the disaster experience area;

[0096] Step 3: Project the video data in M - 1 directions and the video data of the disaster - affected area onto the target exhibition hall through M projection devices to obtain an image display of the target disaster;

[0097] Step 4: Divide the ground of the target exhibition hall into N sub - regions, deploy N interference devices one by one in the N sub - regions, and determine the interference factors of each sub - region in sequence based on the video data of each sub - region, so as to control the interference intensity of the corresponding interference device based on the interference factors and obtain a feeling display of the target disaster.

[0098] As Figure 4 shown, in an embodiment of the present invention, the M projection devices are suspended and installed in the center of the top wall of the target exhibition hall, thus avoiding the mutual interference of the light of the projection devices.

[0099] The above describes the embodiments of this example, but this example is not limited to the above - mentioned specific implementation manners. The above - mentioned specific implementation manners are only illustrative, not restrictive. Under the inspiration of this example, those of ordinary skill in the art can also make many forms, all of which fall within the protection scope of this example.

Claims

1. A ground projection system for natural disasters, characterized in that, Including: A disaster display module, including M projection devices and N interference devices in the target exhibition hall; A data acquisition module, which is used to establish a disaster perception area during the target disaster occurrence period, and collect video data in M - 1 directions and video data of the disaster perception area; A data projection module, which is used to project the video data in M - 1 directions and the video data of the disaster perception area onto the target exhibition hall through M projection devices to obtain an image display of the target disaster; A data interference module, which is used to divide the ground of the target exhibition hall into N sub - regions, deploy N interference devices one by one in the N sub - regions, and determine the interference factors of each sub - region in time series based on the video data of each sub - region, including: Correspondingly project the video data of the disaster perception area onto the ground of the target exhibition hall, and obtain P projected images of the nth sub - region in time series at fixed time intervals; 1 ≤ n ≤ N, and n is a positive integer; Perform interference analysis on the pth projected image of the nth region, including: Obtain a reference image of the pth projected image corresponding to the disaster perception area; where the reference image represents the image of the nth sub - region in the N sub - regions obtained by the same division of the disaster perception area corresponding to the ground of the target exhibition hall during the non - disaster occurrence period, 1 ≤ p ≤ P, and p is a positive integer; Perform edge detection on the pth projected image of the nth region and the reference image respectively to obtain a first edge matrix and a second edge matrix; Among them, both the first edge matrix and the second edge matrix are binary matrices, where the element 1 represents the edge element obtained by edge detection, and the element 0 represents the non - edge element; Initialize and generate an interference convolution kernel. The size of the interference convolution kernel is X rows and B columns, and the moving step size is L. Among them, the number of rows of the convolution kernel is less than the number of rows of the first edge matrix or the second edge matrix, and the number of columns of the convolution kernel is less than the number of columns of the first edge matrix or the second edge matrix. X, B, and L are all positive integers, and , where min represents the operation of taking the minimum value. Perform convolution extraction on the first edge matrix and the second edge matrix respectively based on the interference convolution kernel to obtain a first convolution matrix and a second convolution matrix; Calculate the Euclidean distance between the first convolution matrix and the second convolution matrix to obtain the value of the interference factor of the pth projected image of the nth region; Control the interference intensity of the corresponding interference device based on the interference factor to obtain a perception display of the target disaster.

2. The ground projection system for natural disasters according to claim 1, characterized in that, M is an integer greater than or equal to 2.

3. A natural disaster ground projection system according to claim 1, characterized in that Projecting the video data in M - 1 directions and the video data of the disaster perception area onto the target exhibition hall through M projection devices includes: One of the M projection devices is used to project the video data of the disaster perception area, and the video data of the disaster perception area is correspondingly projected onto the ground of the target exhibition hall; M - 1 of the M projection devices are used to project the video data in M - 1 directions around the disaster perception area, and the video data in M - 1 directions is correspondingly projected onto the side walls and the top wall of the target exhibition hall.

4. A natural disaster ground projection system according to claim 1, characterized in that, The interference intensity of the interference device is used to quantify the movement complexity of the user in the sub - region; The interference device includes a morphological interference sub - component and a motion interference sub - component; The interference intensity includes a morphological interference intensity and a motion interference intensity; The morphological interference intensity is used to adjust the morphological structure of the morphological interference sub - component in the sub - region; The motion interference intensity is used to adjust the vibration amplitude frequency of the motion interference sub - component in the sub - region.

5. A natural disaster ground projection system according to claim 4, characterized in that, The morphological structure of the morphological interference sub-component includes the height and frictional resistance of the morphological interference sub-component; the vibration frequency and amplitude of the motion interference sub-component include the vibration frequency and vibration amplitude of the motion interference sub-component.

6. The ground projection system for natural disasters according to claim 5, characterized in that, Based on the interference factor, controlling the interference intensity of the corresponding interference device includes: Obtaining the values of the interference factors for each sub-region time series; Randomly selecting K unequal values of the interference factor for each sub-region time series as the clustering centers, and performing K-means clustering to divide the interference factors into K categories based on the values of the interference factors; Obtaining the average values of the interference factor values in the K categories and arranging them in ascending order to obtain the interference level gradient; for any two adjacent interference level gradients, the differences in the height and frictional resistance of the morphological interference sub-component and the vibration frequency and vibration amplitude of the motion interference sub-component in the corresponding sub-regions are fixed parameters.

7. A natural disaster ground projection system according to claim 6, characterized in that, N is an integer greater than 0.

8. A natural disaster ground projection system according to claim 7, characterized in that, For the morphological interference sub-component and the motion interference sub-component of the nth sub-region, the morphological interference sub-component is fixedly installed on the top of the motion interference sub-component.

9. A method for projecting natural disasters onto the ground, applied to a natural disaster ground projection system according to any one of claims 1-8, characterized in that, Including: Step 1, setting M projection devices and N interference devices in the target exhibition hall; Step 2, during the target disaster occurrence time period, establishing a disaster perception area and collecting video data in M - 1 directions of the disaster perception area and the video data of the disaster perception area; Step 3, projecting the video data in M - 1 directions and the video data of the disaster perception area onto the target exhibition hall through M projection devices to obtain the image display of the target disaster; Step 4, dividing the ground of the target exhibition hall into N sub-regions, and arranging the N interference devices one by one in the N sub-regions, and determining the interference factors for each sub-region time series based on the video data of each sub-region, including: Correspondingly projecting the video data of the disaster perception area onto the ground of the target exhibition hall, and obtaining P projected images for the nth sub-region time series at fixed time intervals; 1 ≤ n ≤ N, and n is a positive integer; Performing interference analysis on the pth projected image of the nth region, including: Obtaining the reference image corresponding to the kth projected image in the disaster perception area; where the reference image represents the image of the nth sub-region in the N sub-regions obtained by equally dividing the disaster perception area corresponding to the ground of the target exhibition hall during the non-disaster time period, 1 ≤ p ≤ P, and p is a positive integer; Performing edge detection on the pth projected image of the nth region and the reference image respectively to obtain the first edge matrix and the second edge matrix; Among them, both the first edge matrix and the second edge matrix are binary matrices, where the element 1 represents the edge element obtained by edge detection, and the element 0 represents the non-edge element; Initialize and generate an interference convolution kernel. The size of the interference convolution kernel is X rows and B columns, and the moving step size is L. Among them, the number of rows of the convolution kernel is less than the number of rows of the first edge matrix or the second edge matrix, and the number of columns of the convolution kernel is less than the number of columns of the first edge matrix or the second edge matrix. X, B, and L are all positive integers, and , where min represents the operation of taking the minimum value. Performing convolution extraction on the first edge matrix and the second edge matrix respectively based on the interference convolution kernel to obtain the first convolution matrix and the second convolution matrix; Calculating the Euclidean distance between the first convolution matrix and the second convolution matrix to obtain the value of the interference factor of the pth projected image of the nth region; To control the interference intensity of the corresponding interference device based on the interference factor to obtain the perception display of the target disaster.

Images