Natural disaster ground projection method and system

Abstract

The invention relates to the technical field of ground projection, and discloses a natural disaster ground projection method and system, and the method comprises the steps: setting M projection devices and N interference devices in a target exhibition hall; in the target disaster occurrence time period, establishing a disaster sensing area, and collecting video data of the disaster sensing area in M-1 directions and video data of the disaster sensing area; projecting the video data in the M-1 directions and the video data of the disaster feeling area to a target exhibition hall through M projection devices to obtain image display of a target disaster; and dividing the ground of the target exhibition hall into N sub-regions, arranging the N interference devices in the N sub-regions one by one, and determining an interference factor of a time sequence of each sub-region 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, and obtain feeling display of the target disaster.

Description

Technical Field

[0001] The present invention relates to the technical field of ground projection, and more specifically, it relates 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, including: A disaster display module, including M projection devices and N interference devices in a target exhibition hall; A data acquisition module, configured to establish a disaster perception area during a target disaster occurrence period, and acquire video data in M - 1 directions of the disaster perception area and video data of the disaster perception area; A data projection module, configured 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, 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 perception display of the target disaster.

[0005] Preferably, M is an integer greater than or equal to 2.

[0006] Preferably, 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.

[0007] Preferably, determining the interference factor of each sub-region time series based on the video data of each sub-region includes: 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 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 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; 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 based on 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; wherein, 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; 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.

[0008] Preferably, the interference intensity of the interference device is used to quantify the movement complexity of the user within 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 frequency amplitude of the motion interference sub-component in the sub-region.

[0009] Preferably, 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.

[0010] Preferably, controlling the interference intensity of the corresponding interference device based on the interference factor includes: Obtain the values of the interference factors for each sub-region time series; Randomly select K unequal values from the values of the interference factors for each sub-region time series as the clustering centers, and perform K-means clustering to divide the interference factors into K categories based on the values of the interference factors; Obtain the average values 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-components and the vibration frequency and vibration amplitude of the motion interference sub-components in the corresponding sub-regions are fixed parameters.

[0011] Preferably, N is an integer greater than 0.

[0012] Preferably, 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.

[0013] 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: Step 1, set M projection devices and N interference devices in the target exhibition hall; Step 2, during the target disaster occurrence time period, establish a disaster experience area, and collect video data in M-1 directions of the disaster experience area and the video data of the disaster experience area; Step 3, 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 an image display of the target disaster; Step 4, divide the ground of the target exhibition hall into N sub-regions, deploy the N interference devices one by one in the N sub-regions, and determine the interference factors for each sub-region 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 to obtain a feeling display of the target disaster.

[0014] 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. Description of the Drawings

[0015] Figure 1 is a module diagram of a natural disaster ground projection system of the present invention.

[0016] Figure 2 is a working flow chart of a natural disaster ground projection system of the present invention.

[0017] Figure 3 It is a schematic diagram of the interference device of the present invention.

[0018] Figure 4 It is a schematic diagram of the target exhibition hall of the present invention. Detailed implementation manners

[0019] The subject matter described herein will now be discussed with reference to example 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.

[0020] As Figure 1 shown, a natural disaster ground projection system includes: A disaster display module, including M projection devices and N interference devices in the target exhibition hall; A data acquisition module, configured to establish a disaster perception area during the occurrence period of the target disaster, and acquire video data in M - 1 directions of the disaster perception area and video data of the disaster perception area; A data projection module, configured 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, configured to divide the ground of the target exhibition hall into N sub - areas, deploy N interference devices one by one in the N sub - areas, and determine the interference factors of each sub - area in 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 factors to obtain a perception display of the target disaster.

[0021] In an embodiment of the present invention, M is an integer greater than or equal to 2.

[0022] Specifically, at least two projection devices are required. One is used to project the video data of the disaster perception 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.

[0023] In an embodiment of the present invention, 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; 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.

[0024] 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 perception area is given the highest priority to ensure that the ground display has the strongest visual impact; 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 in turn, so that the entire projection system can more accurately reflect the disaster dynamics and provide users with a more layered and immersive experience.

[0025] In an embodiment of the present invention, an interference factor of each sub - region time sequence is determined 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 time sequence 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 corresponding to the kth projected image in the disaster perception area; wherein, the reference image represents an 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 occurs, 1 ≤ p ≤ P, and p is a positive integer; Perform edge detection on the pth projected image of the nth 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 an edge element obtained based on edge detection, and the element 0 represents a 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; 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; 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.

[0026] For example, in a certain exhibition hall, the ground is evenly divided into N sub-regions (e.g., N = 4), and each region serves as an independent display unit. During a disaster, the projected images within each sub-region are collected at fixed time intervals (such as every 1 second). Assuming that P = 10 images are collected in each sub-region within 10 seconds, a temporal image sequence is thus formed.

[0027] For comparative analysis, in the normal state before the disaster, the exhibition hall floor is also divided into the same N sub-regions as during the disaster 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 in the disaster state.

[0028] For the p-th projected image collected in sub-region 1, after applying 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 same edge detection process is performed on the corresponding reference image to generate a second binary matrix.

[0029] In the case where the above-mentioned edge matrices are both 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 over each binary matrix and performs a weighted sum of the edge values within the local region, thereby generating 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.

[0030] 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 indicator to measure the difference in the local edge structure of the two images. If the two matrices are similar, the Euclidean distance is small, indicating that the structural change between the current projected image and the reference image is not significant, and the value of the corresponding interference factor is low. If the two matrices are significantly different and the Euclidean distance increases, it indicates that the image in the current region 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 calculated interference factor is d. If d is large, it indicates that the edge features in this region have changed significantly under the disaster state, which may be related to the enhanced impact of the disaster. The system can then adjust the interference intensity of the interference device according to this interference factor to achieve a more dynamic and realistic display of the disaster experience.

[0031] As Figure 2As 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 at 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 impede the user according to the interference factor. After the video data projection ends, if the user finally locates in the safe sub-region, it is regarded that the user has successfully coped with the target disaster; otherwise, it is regarded as a failure to cope.

[0032] In an embodiment of the present invention, the system pre-sets a safety threshold for distinguishing the safety of sub-regions. Specifically, determine the interference factor corresponding to the K-th projected image of the video data of each sub-region. When the value of this interference factor is greater than or equal to the pre-set safety threshold, this sub-region is determined as a non-safe region; otherwise, this sub-region is determined as a safe region.

[0033] In an embodiment of the present invention, the interference intensity of the interference device is used to quantify the movement complexity of the user within 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 frequency amplitude of the motion interference sub-component in the sub-region.

[0034] 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.

[0035] The system uses the interference intensity of the interference device to quantify the movement complexity of the user in each sub-region, thereby interfering 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 vibration frequency and vibration amplitude.

[0036] In an embodiment of the present invention, controlling the interference intensity of the corresponding interference device based on the interference factor includes: Obtain the value of the interference factor for each sub-region time series; Randomly select K unequal values as the clustering centers for the value of the interference factor of each sub-region time series, and perform K-means clustering to divide the interference factor into K categories based on the value of the interference factor; Obtain the mean values of the interference factors in 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-components, and the vibration frequency and vibration amplitude of the motion interference sub-components in the corresponding sub-regions are fixed parameters.

[0037] 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 clusters represented by the nearest clustering center according to the Euclidean distance from the clustering centers. 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 categories of interference factors.

[0038] In an embodiment of the present invention, the system controls the interference intensity of the interference device based on the values of the interference factors, and the specific process is as follows: 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.

[0039] 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.

[0040] For each category, the system calculates the mean value of all interference factors in this category and arranges these mean values in ascending order. Thus, the interference level gradient of each category is obtained.

[0041] According to the interference level gradient, the system divides the interference factors into different levels.

[0042] 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 the indexes of K. Then the fixed parameters are 5, -4, 4, and 6 respectively.

[0043] In an embodiment of the present invention, N is an integer greater than 0.

[0044] 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.

[0045] As Figure 3 shown, in a preferred embodiment of the present invention, the morphological interference subassembly adopts a transparent airbag, and the motion interference subassembly 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, thereby controlling its height change and the adjustment of the surface friction. The vibrating plate controls the vibration frequency and amplitude based on wireless communication.

[0046] A method for ground projection of natural disasters, applied to the natural disaster ground projection system described above, includes: Step 1, set M projection devices and N interference devices in the target exhibition hall; Step 2, during the target disaster occurrence period, establish a disaster perception area, and collect video data of the disaster perception area in M - 1 directions and the video data of the disaster perception area; Step 3, 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; Step 4, divide the ground of the target exhibition hall into N sub - regions, deploy the 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 perception display of the target disaster.

[0047] 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, so as to avoid mutual interference of the light of the projection devices.

[0048] The above has described the embodiments of this embodiment, but this embodiment is not limited to the above - mentioned specific implementation manners. The above - mentioned specific implementation manners are only illustrative and not restrictive. Under the inspiration of this embodiment, those of ordinary skill in the art can also make many forms, all of which fall within the protection scope of this embodiment.

Claims

1. A natural disaster ground projection system, characterized in that: include: A disaster display module, including M projection devices and N interference devices in the target exhibition hall; The data acquisition module is used to establish a disaster feeling area during the target disaster occurrence time period and collect video data of the disaster feeling area in M-1 directions and video data of the disaster feeling area; The data projection module is used to project the video data of M-1 directions and the video data of the disaster-affected area to the target exhibition hall through M projection devices to obtain the image display of the target disaster; The data interference module is used to divide the floor of the target exhibition hall into N sub-areas, and deploy N interference devices in the N sub-areas one by one, and determine the interference factor of each sub-area timing 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 the perception display of the target disaster.

2. A natural disaster ground projection system 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: The video data from M-1 directions and the video data from the disaster-affected area are projected to the target exhibition hall through M projection devices, including: The M projection devices include a projection device for projecting video data of the disaster perception area, and the video data of the disaster perception area is correspondingly projected on the ground of the target exhibition hall; The M projection devices include M-1 projection devices for projecting video data in M-1 directions surrounding the disaster perception area, and the video data in M-1 directions are correspondingly projected on the side walls and top walls of the target exhibition hall.

4. A natural disaster ground projection system according to claim 1, characterized in that: An interference factor of the timing of each sub-region is determined based on the video data of each sub-region, including: The video data of the disaster-affected area is projected onto the ground of the target exhibition hall, and P images of the nth sub-area are obtained at fixed time intervals; 1≤n≤N, and n is a positive integer; Interference analysis is performed on the p-th projection image of the n-th area, including: Obtain a reference image of the disaster-sensitive area corresponding to the k-th projection image; wherein the reference image represents an image of the n-th sub-area in the N sub-areas obtained by segmenting the ground of the target exhibition hall corresponding to the disaster-sensitive area in the same manner during a period when no disaster occurs, 1≤p≤P, and p is a positive integer; Perform edge detection on the p-th projection image of the n-th image and the reference image respectively to obtain a first edge matrix and a second edge matrix; Wherein, the first edge matrix and the second edge matrix are both binary matrices, element 1 represents edge elements obtained based on edge detection, and element 0 represents non-edge elements; Initialize and generate an interference convolution kernel, the size of the interference convolution kernel is X rows and B columns, and the moving step is L; wherein, 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 means the operation of taking the minimum value; Based on the interference convolution kernel, the first edge matrix and the second edge matrix are respectively convolved and extracted to obtain a first convolution matrix and a second convolution matrix; The Euclidean distance between the first convolution matrix and the second convolution matrix is ​​calculated to obtain the value of the interference factor of the p-th projection image in the n-th area.

5. A natural disaster ground projection system according to claim 4, characterized in that: The interference intensity of the interferometer is used to quantify the complexity of the user's movement within the sub-area; The interference device includes a morphological interference subassembly and a motion interference subassembly; Interference intensity includes morphological interference intensity and motion interference intensity; Morphological interference strength, used to adjust the morphological structure of the morphological interference subcomponent in the subregion; The motion interference intensity is used to adjust the vibration frequency of the motion interference subcomponent in the sub-area.

6. A natural disaster ground projection system according to claim 5, characterized in that: The morphological structure of the morphological interference subassembly includes the height and friction resistance of the morphological interference subassembly; the vibration frequency of the motion interference subassembly includes the vibration frequency and vibration amplitude of the motion interference subassembly.

7. A natural disaster ground projection system according to claim 6, characterized in that: Controlling the interference intensity of the corresponding interference device based on the interference factor includes: Obtain the value of the interference factor of each sub-region time series; For the value of the interference factor of each sub-region time series, K unequal values ​​are randomly selected as cluster centers, and K clustering is performed to divide the interference factor into K categories based on the value of the interference factor; The mean values ​​of the interference factors in K categories are obtained and arranged in ascending order to obtain the interference level gradient; for any two adjacent interference level gradients, the height and friction resistance of the morphological interference subcomponent in the corresponding sub-area, as well as the difference in vibration frequency and vibration amplitude of the motion interference subcomponent are all fixed parameters.

8. A natural disaster ground projection system according to claim 1, characterized in that: N is an integer greater than 0.

9. A natural disaster ground projection system according to claim 7, characterized in that: With respect to the morphological interference subassembly and the motion interference subassembly of the nth sub-region, the morphological interference subassembly is fixedly mounted on the top of the motion interference subassembly.

10. A natural disaster ground projection method, applied to a natural disaster ground projection system according to any one of claims 1 to 9, characterized in that: include: Step 1, set up M projection devices and N interference devices in the target exhibition hall; Step 2: During the target disaster occurrence time period, a disaster perception area is established, and video data of the disaster perception area in M-1 directions and video data of the disaster perception area are collected; Step 3: Project the video data of M-1 directions and the video data of the disaster-affected area to the target exhibition hall through M projection devices to obtain an image display of the target disaster; Step 4, divide the floor of the target exhibition hall into N sub-areas, and deploy N interference devices in the N sub-areas one by one, and determine the interference factor of each sub-area timing 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 the perception display of the target disaster.

Images