A digital television emergency broadcasting dynamic scheduling method and system based on state estimation

Abstract

The application provides a digital television emergency broadcast dynamic scheduling method and system based on state estimation, and relates to the technical field of emergency broadcast transmission, and the method comprises the following steps: S0, dividing a target area into a closed area and an open area based on the type of digital television; S1, when receiving current emergency information related to the target area, obtaining the historical on-off logs of all household digital televisions in the closed area, obtaining the initial coverage range of all public digital televisions on the grid in the open area, and obtaining the historical passenger flow data collected by all cameras; S2, estimating the first coverage range generated by the household digital televisions playing the current emergency information based on the historical on-off logs; S3, estimating the second coverage range generated by the public digital televisions playing the current emergency information on the grid based on the historical passenger flow data and the initial coverage range; and S4, rendering the target area based on the first coverage range and the second coverage range.

Description

Technical Field

[0001] This invention relates to the field of emergency broadcasting technology, specifically to a dynamic scheduling method and system for digital television emergency broadcasting based on state prediction. Background Technology

[0002] Existing digital television emergency broadcasting systems typically employ a post-event verification method to assess the coverage effectiveness of emergency broadcasts. This involves sending an emergency broadcast to all digital television terminals within the target area, then playing the broadcast through those terminals, and relying on confirmation information from the terminals to evaluate the coverage. This post-event verification method, dependent on terminal feedback, fails to provide decision support to dispatchers before the broadcast. For coverage blind spots or weak areas, dispatching can only proceed after assessing the coverage, requiring a secondary broadcast via digital television. This inefficiency can lead to missed crucial emergency response window moments. Summary of the Invention

[0003] The purpose of this invention is to provide a dynamic scheduling method and system for digital television emergency broadcasts based on state prediction. By analyzing a large amount of historical data, the method can predict the coverage effect of emergency broadcasts when digital television broadcasts emergency broadcasts, so that backend personnel do not need to wait for digital television to reply to the emergency broadcast.

[0004] To solve the above-mentioned technical problems, the present invention adopts the following solution:

[0005] A dynamic scheduling method for digital television emergency broadcasting based on state prediction includes:

[0006] S0. Classify and label all digital televisions within the target area into home digital televisions and public digital televisions. Divide the target area into closed areas and open areas based on the type of digital television. Label all cameras within the open area and divide the open area into multiple grids based on the number of cameras.

[0007] S1. At time t, when receiving current emergency information related to the target area, obtain the historical power-on / off logs of all household digital TVs in the closed area, obtain the initial coverage of all public digital TVs in the open area on the grid, and obtain historical pedestrian traffic data collected by all cameras.

[0008] S2. Based on historical power-on / off logs, estimate the first coverage area of ​​the closed area by playing the current emergency information on all household digital TVs within the closed area.

[0009] S3. Based on historical pedestrian traffic data and initial coverage estimation, the second coverage area of ​​the open area is obtained by broadcasting the current emergency information on the grid through all public digital televisions in the open area.

[0010] S4. Render the target area based on the first coverage area and the second coverage area, generate resource scheduling instructions on the rendered target area, and package and distribute the resource scheduling instructions and the current emergency information.

[0011] A further preferred technical solution is that the home digital television refers to a digital television terminal installed in a private residential space to serve fixed family members; the public digital television refers to a digital television terminal installed in a public open space to serve transient people.

[0012] A further preferred technical solution is to obtain the historical power-on / off logs of all household digital televisions within the closed area at time point t. The historical power-on / off logs record the power-on / off status of the household digital televisions at different times before time point t. Time is composed of a period and a time segment within that period. The period is composed of year, month, and day, and the time segment is composed of the bands between two time points.

[0013] A further preferred technical solution is that the process of estimating the first coverage area of ​​a closed area based on historical power-on / off logs and then broadcasting the current emergency information to all household digital televisions within the closed area is as follows:

[0014] Query the power on / off status of each household digital TV in the closed area at different times in the historical power on / off log, count the number of power on / off statuses, and estimate the probability of each household digital TV being turned on at time t based on the number of power on / off statuses.

[0015] The system counts the number of digital TVs in all households within the enclosed area and the probability of them being turned on at time point t. It then calculates the average probability of the TVs being turned on in the enclosed area, compares the average probability of the TVs being turned on with a preset threshold, and automatically generates the first coverage area based on the comparison result.

[0016] A further preferred technical solution is that the process for obtaining the initial coverage range of public digital television on the grid is as follows:

[0017] Obtain the grid where the public digital television is located within the open area, and based on the physical attributes of the public digital television, define an initial coverage area outward from the grid where the public digital television is located.

[0018] The physical attributes include the screen size of the public digital television, the volume range of the public digital television, and the screen orientation of the public digital television.

[0019] A further preferred technical solution is that the process of obtaining historical pedestrian traffic data collected by the camera is as follows:

[0020] The video streams captured by all cameras in the open area at different times before time point t are obtained. Each video stream is analyzed frame by frame using a target detection model to obtain the total number of people in each frame.

[0021] Each video stream is split into video segments across multiple time periods. The number of people in each frame is estimated to determine the number of people in the video segments. The average number of people in the same time period across different periods is then calculated to obtain historical traffic data for different time periods.

[0022] A further preferred technical solution is that, based on historical pedestrian traffic data and initial coverage area estimation, the process of obtaining the second coverage area in an open area by broadcasting current emergency information on all public digital televisions within the open area and disseminating it across the grid is as follows:

[0023] Query the initial coverage area of ​​each public digital television service within the open area on the grid;

[0024] Query the historical pedestrian traffic data of each camera in the open area at different times and time points t, and calculate the average of the historical pedestrian traffic data at different times and time points t. Use the corresponding average as the pedestrian traffic data of that camera at time point t. Perform diffusion simulation on the pedestrian traffic data of each camera at time point t to simulate the propagation range centered on the camera.

[0025] The initial coverage area is updated based on the overlap between the initial coverage area and the propagation range. The updated result is then used as the second coverage area generated by the propagation of the current emergency information through the broadcast of the current emergency information on all public digital televisions in the open area.

[0026] A further preferred technical solution is that the diffusion simulation process is as follows:

[0027] A pre-trained pedestrian flow diffusion model is obtained. Each grid where a camera is located is recorded as the source. Starting from the source, the pedestrian flow data of the camera at time point t is simulated to diffuse along the surrounding grid through the pedestrian flow diffusion model to obtain pedestrian flow data in other tables. The pedestrian flow data in other tables is compared with a preset threshold. Based on the comparison result, the grid is defined with the camera as the center as the propagation range.

[0028] A state-prediction-based dynamic scheduling system for digital television emergency broadcasting, employing the aforementioned state-prediction-based dynamic scheduling method for digital television emergency broadcasting, includes:

[0029] Initialization module: Classifies and labels all digital TVs within the target area into home digital TVs and public digital TVs, and divides the target area into closed areas and open areas based on the type of digital TV; labels all cameras within the open area, and divides the open area into multiple grids based on the number of cameras.

[0030] Emergency Trigger Module: At time t, when receiving current emergency information related to the target area, obtain the historical power-on / off logs of all household digital TVs in the closed area, obtain the initial coverage range of all public digital TVs in the open area on the grid, and obtain historical pedestrian traffic data collected by all cameras;

[0031] Digital TV power on / off status prediction module: Based on historical power on / off logs, it predicts the first coverage area of ​​the closed area by playing the current emergency information on all household digital TVs within the closed area;

[0032] Digital TV propagation status prediction module: Based on historical traffic data and initial coverage area prediction, the second coverage area is obtained by broadcasting the current emergency information on all public digital TVs in the open area and propagating it on the grid.

[0033] Emergency dynamic dispatch module: Renders the target area based on the first and second coverage areas, generates resource dispatch instructions on the rendered target area, and packages and distributes the resource dispatch instructions and current emergency information.

[0034] The beneficial effects of this invention are:

[0035] Compared with existing emergency broadcasting technologies that transmit immediately after receiving, this invention provides a dynamic scheduling method for digital television emergency broadcasting based on state prediction. This method mainly adopts the technique of predicting in advance, making decisions, and then packaging and transmitting the broadcast. Before the emergency broadcast is sent, a large amount of historical data is analyzed to predict the coverage effect of the emergency broadcast when the digital television broadcasts the emergency broadcast, so as to achieve forward prediction. A visual map can be generated in advance, so that backend personnel can see the coverage blind spots and weak areas of the emergency broadcast in advance, move the decision forward, and seize the golden time for emergency response.

[0036] Based on this, and considering the impact of the environment where digital television is located on the coverage of emergency broadcasts, this invention modifies the existing method of uniformly distributing emergency broadcasts to digital television. Digital televisions are categorized and labeled according to their different environments to accurately predict the coverage effect of emergency broadcasts. Furthermore, this invention proposes incorporating a propagation impact factor when predicting the coverage effect of emergency broadcasts from digital television in open areas. Considering the transmissibility between people, when the number of people is large, the size of the population will influence the preset coverage area of ​​the emergency broadcasts from the digital television, thus improving the accuracy of the prediction. Attached Figure Description

[0037] Figure 1 This is a flowchart illustrating the method in Embodiment 1 of the present invention. Detailed Implementation

[0038] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the present invention or its application or use. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0039] Unless otherwise specifically stated, the relative arrangement, numerical expressions, and values ​​of the components and steps described in these embodiments do not limit the scope of the invention.

[0040] At the same time, it should be understood that, for ease of description, the dimensions of the various parts shown in the accompanying drawings are not drawn according to actual scale.

[0041] Furthermore, for clarity and brevity, descriptions of well-known structures, functions, and configurations may have been omitted. Those skilled in the art will recognize that various changes and modifications can be made to the examples described herein without departing from the spirit and scope of this disclosure.

[0042] Techniques, methods, and equipment known to those skilled in the art may not be discussed in detail, but where appropriate, such techniques, methods, and equipment should be considered part of the specification.

[0043] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of exemplary embodiments may have different values.

[0044] The present invention will now be described in detail with reference to the accompanying drawings and embodiments:

[0045] Example 1

[0046] In this embodiment, a dynamic scheduling method for digital television emergency broadcasting based on state prediction is proposed for an emergency broadcasting system. The method is as follows: Figure 1 As shown, it includes:

[0047] S0. Classify and label all digital televisions within the target area into home digital televisions and public digital televisions. Divide the target area into closed areas and open areas based on the type of digital television. Label all cameras within the open area and divide the open area into multiple grids based on the number of cameras.

[0048] S1. At time t, when receiving current emergency information related to the target area, obtain the historical power-on / off logs of all household digital TVs in the closed area, obtain the initial coverage of all public digital TVs in the open area on the grid, and obtain historical pedestrian traffic data collected by all cameras.

[0049] S2. Based on historical power-on / off logs, estimate the first coverage area of ​​the closed area by playing the current emergency information on all household digital TVs within the closed area.

[0050] S3. Based on historical pedestrian traffic data and initial coverage estimation, the second coverage area of ​​the open area is obtained by broadcasting the current emergency information on the grid through all public digital televisions in the open area.

[0051] S4. Render the target area based on the first coverage area and the second coverage area, generate resource scheduling instructions on the rendered target area, and package and distribute the resource scheduling instructions and the current emergency information.

[0052] A further preferred technical solution is that the home digital television refers to a digital television terminal installed in a private residential space to serve fixed family members; the public digital television refers to a digital television terminal installed in a public open space to serve transient people.

[0053] A further preferred technical solution is to obtain the historical power-on / off logs of all household digital televisions within the closed area at time point t. The historical power-on / off logs record the power-on / off status of the household digital televisions at different times before time point t. Time is composed of a period and a time segment within that period. The period is composed of year, month, and day, and the time segment is composed of the bands between two time points.

[0054] A further preferred technical solution is that the process of estimating the first coverage area of ​​a closed area based on historical power-on / off logs and then broadcasting the current emergency information to all household digital televisions within the closed area is as follows:

[0055] Query the power on / off status of each household digital TV in the closed area at different times in the historical power on / off log, count the number of power on / off statuses, and estimate the probability of each household digital TV being turned on at time t based on the number of power on / off statuses.

[0056] The system counts the number of digital TVs in all households within the enclosed area and the probability of them being turned on at time point t. It then calculates the average probability of the TVs being turned on in the enclosed area, compares the average probability of the TVs being turned on with a preset threshold, and automatically generates the first coverage area based on the comparison result.

[0057] A further preferred technical solution is that the process for obtaining the initial coverage range of public digital television on the grid is as follows:

[0058] Obtain the grid where the public digital television is located within the open area, and based on the physical attributes of the public digital television, define an initial coverage area outward from the grid where the public digital television is located.

[0059] The physical attributes include the screen size of the public digital television, the volume range of the public digital television, and the screen orientation of the public digital television.

[0060] A further preferred technical solution is that the process of obtaining historical pedestrian traffic data collected by the camera is as follows:

[0061] The video streams captured by all cameras in the open area at different times before time point t are obtained. Each video stream is analyzed frame by frame using a target detection model to obtain the total number of people in each frame.

[0062] Each video stream is split into video segments across multiple time periods. The number of people in each frame is estimated to determine the number of people in the video segments. The average number of people in the same time period across different periods is then calculated to obtain historical traffic data for different time periods.

[0063] A further preferred technical solution is that, based on historical pedestrian traffic data and initial coverage area estimation, the process of obtaining the second coverage area in an open area by broadcasting current emergency information on all public digital televisions within the open area and disseminating it across the grid is as follows:

[0064] Query the initial coverage area of ​​each public digital television service within the open area on the grid;

[0065] Query the historical pedestrian traffic data of each camera in the open area at different times and time points t, and calculate the average of the historical pedestrian traffic data at different times and time points t. Use the corresponding average as the pedestrian traffic data of that camera at time point t. Perform diffusion simulation on the pedestrian traffic data of each camera at time point t to simulate the propagation range centered on the camera.

[0066] The initial coverage area is updated based on the overlap between the initial coverage area and the propagation range. The updated result is then used as the second coverage area generated by the propagation of the current emergency information through the broadcast of the current emergency information on all public digital televisions in the open area.

[0067] A further preferred technical solution is that the diffusion simulation process is as follows:

[0068] A pre-trained pedestrian flow diffusion model is obtained. Each grid where a camera is located is recorded as the source. Starting from the source, the pedestrian flow data of the camera at time point t is simulated to diffuse along the surrounding grid through the pedestrian flow diffusion model to obtain pedestrian flow data in other tables. The pedestrian flow data in other tables is compared with a preset threshold. Based on the comparison result, the grid is defined with the camera as the center as the propagation range.

[0069] The pedestrian flow diffusion model can be pre-obtained through machine learning or physical modeling. Specifically, it can be trained using a large amount of historical camera data and mobile phone signaling data, or by drawing on fluid diffusion and heat conduction equations to simulate the attenuation and propagation patterns of pedestrian flow in space. In this embodiment, the construction of the pedestrian flow diffusion model is mainly achieved through existing technologies, which will not be elaborated further here.

[0070] Specifically, the GIS map of the target public area is divided into a matrix of uniform grids (e.g., 10m x 10m squares). The geographical location of each camera is then precisely mapped to its corresponding grid, which is marked as the data source. A pedestrian flow diffusion model is activated, centered on each source grid. This model, based on a built-in algorithm, simulates the diffusion of pedestrian flow data from the source grid to its surrounding adjacent grids. Specifically, this simulated diffusion can employ distance attenuation logic; grids farther from the camera source receive less "diffused pedestrian flow." This can be achieved through algorithms such as inverse distance weighting, which are existing technologies and will not be elaborated upon here. The pedestrian flow diffusion model can also integrate map information to identify impassable obstacles such as walls, fences, and green belts, preventing pedestrian flow and making the diffusion path more realistic. Furthermore, if a grid is simultaneously affected by the diffusion from multiple camera sources, the final pedestrian flow value for that grid is the sum of the values ​​generated by all sources at that location. Through this series of steps, intelligent inference from sparse data to a continuous spatial field can be achieved, providing crucial spatial situational awareness capabilities for precise scheduling.

[0071] Based on the above principles, the present invention will be further described as follows:

[0072] First, it should be noted that this invention proposes a dynamic scheduling method for digital television emergency broadcasting based on state prediction. Compared with the existing passive response mode of "receive-send", it fundamentally changes the operation paradigm of traditional emergency broadcasting systems by introducing the core loop of "prediction-decision-packaging".

[0073] Specifically, by analyzing historical data to make forward-looking predictions of coverage effects and generating visual operational maps, dispatchers can identify coverage blind spots in advance, move the decision-making process forward, seize the golden time for emergency response, and realize the transformation from passive response to proactive early warning.

[0074] Based on this, after the system renders the target area based on the first and second coverage areas, a visual combat map can be generated. This map can use different shades of color to represent the first and second coverage areas, or a heat map to represent the second coverage area, to show areas with high population flow within the second coverage area. Rendering on the map is a conventional technique that those skilled in the art can master. The main purpose of this invention is to visualize the estimated first and second coverage areas. Before emergency broadcasting, the coverage effect can be shown to dispatchers in advance through status prediction. The system can then support differentiated and precise dispatching based on the coverage prediction map, enabling dispatchers to "follow the map" and simultaneously or in advance dispatch backup resources such as mobile broadcasting vehicles to supplement areas with poor estimated coverage effects, thus forming resource dispatching instructions. The resource dispatching instructions and current emergency information are packaged and distributed, realizing a leap from blind "one-size-fits-all" broadcasting to optimized resource allocation.

[0075] Most importantly, this invention innovatively constructs a three-dimensional evaluation system from "signal coverage" to "effective coverage." By combining the physical coverage of home televisions with the population coverage of public display screens, the assessment of coverage effectiveness is more closely aligned with real-world scenarios, greatly enhancing the scientific rigor of decision-making. Simultaneously, through a closed-loop design of "prediction-verification-feedback," the system can continuously self-optimize, comparing the actual effects of each broadcast with the predicted results and automatically correcting the prediction model, achieving an intelligent evolution from a static system to dynamic learning. Ultimately, this invention elevates emergency broadcasting from a simple information dissemination tool to a comprehensive intelligent urban emergency command hub integrating situational awareness, intelligent decision-making, precise dispatching, and self-evolution, significantly improving the reliability, efficiency, and intelligence level of public safety early warning.

[0076] Example 2

[0077] A state-prediction-based dynamic scheduling system for digital television emergency broadcasting, employing the aforementioned state-prediction-based dynamic scheduling method for digital television emergency broadcasting, includes:

[0078] Initialization module: Classifies and labels all digital TVs within the target area into home digital TVs and public digital TVs, and divides the target area into closed areas and open areas based on the type of digital TV; labels all cameras within the open area, and divides the open area into multiple grids based on the number of cameras.

[0079] Emergency Trigger Module: At time t, when receiving current emergency information related to the target area, obtain the historical power-on / off logs of all household digital TVs in the closed area, obtain the initial coverage range of all public digital TVs in the open area on the grid, and obtain historical pedestrian traffic data collected by all cameras;

[0080] Digital TV power on / off status prediction module: Based on historical power on / off logs, it predicts the first coverage area of ​​the closed area by playing the current emergency information on all household digital TVs within the closed area;

[0081] Digital TV propagation status prediction module: Based on historical traffic data and initial coverage area prediction, the second coverage area is obtained by broadcasting the current emergency information on all public digital TVs in the open area and propagating it on the grid.

[0082] Emergency dynamic dispatch module: Renders the target area based on the first and second coverage areas, generates resource dispatch instructions on the rendered target area, and packages and distributes the resource dispatch instructions and current emergency information.

[0083] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Based on the technical essence of the present invention, any simple modifications, equivalent substitutions, and improvements made to the above embodiments within the spirit and principles of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A dynamic scheduling method for digital television emergency broadcasting based on state prediction, characterized in that, include: S0. Classify and label all digital televisions within the target area, dividing them into home digital televisions and public digital televisions. Based on the type of digital television, divide the target area into closed areas and open areas. Label all cameras within the open areas and divide the open areas into multiple grids based on the number of cameras. S1. At time t, when receiving current emergency information related to the target area, obtain the historical power-on / off logs of all household digital TVs in the closed area, obtain the initial coverage of all public digital TVs in the open area on the grid, and obtain historical pedestrian traffic data collected by all cameras. S2. Based on historical power-on / off logs, estimate the first coverage area of ​​the closed area by playing the current emergency information on all household digital TVs within the closed area. S3. Based on historical pedestrian traffic data and initial coverage area estimation, the second coverage area is obtained by broadcasting current emergency information on all public digital televisions within the open area and disseminating it across the grid. The process is as follows: Query the initial coverage area of ​​each public digital television service within the open area on the grid; Query the historical pedestrian traffic data of each camera in the open area at different times and time points t, and calculate the average of the historical pedestrian traffic data at different times and time points t. Use the corresponding average as the pedestrian traffic data of that camera at time point t. Perform diffusion simulation on the pedestrian traffic data of each camera at time point t to simulate the propagation range centered on the camera. The initial coverage area is updated based on the overlap between the initial coverage area and the propagation range. The updated result is used as the second coverage area generated by the propagation of the current emergency information on the grid through the broadcast of the current emergency information on all public digital televisions in the open area. S4. Render the target area based on the first coverage area and the second coverage area, generate resource scheduling instructions on the rendered target area, and package and distribute the resource scheduling instructions and the current emergency information.

2. The method according to claim 1, wherein, The term "home digital television" refers to a digital television terminal installed in a private residential space to serve a fixed family member; the term "public digital television" refers to a digital television terminal installed in a public open space to serve a transient population.

3. The dynamic scheduling method for digital television emergency broadcasting based on state prediction according to claim 1, characterized in that, At time point t, obtain the historical power-on / off logs of all household digital TVs within the closed area. The historical power-on / off logs record the power-on / off status of household digital TVs at different times before time point t. Time is composed of period and time segment within that period. Period is composed of year, month, and day, and time segment is composed of bands between two time points.

4. The method of claim 3, wherein the method further comprises: The process of estimating the initial coverage area of ​​a closed area based on historical power-on / off logs and then broadcasting the current emergency information to all household digital TVs within that closed area is as follows: Query the power on / off status of each household digital TV in the closed area at different times in the historical power on / off log, count the number of power on / off statuses, and estimate the probability of each household digital TV being turned on at time t based on the number of power on / off statuses. The system counts the number of digital TVs in all households within the enclosed area and the probability of them being turned on at time point t. It then calculates the average probability of the TVs being turned on in the enclosed area, compares the average probability of the TVs being turned on with a preset threshold, and automatically generates the first coverage area based on the comparison result.

5. The method of claim 1, wherein the method further comprises: The process of obtaining the initial coverage range of public digital television on the grid is as follows: Obtain the grid where the public digital television is located within the open area, and based on the physical attributes of the public digital television, define an initial coverage area outward from the grid where the public digital television is located. The physical attributes include the screen size of the public digital television, the volume range of the public digital television, and the screen orientation of the public digital television.

6. The state-estimation based dynamic scheduling method for emergency broadcasting of digital television according to claim 1, wherein, The process of obtaining historical pedestrian traffic data collected by cameras is as follows: The video streams captured by all cameras in the open area at different times before time point t are obtained. Each video stream is analyzed frame by frame using a target detection model to obtain the total number of people in each frame. Each video stream is split into video segments across multiple time periods. The number of people in each frame is estimated to determine the number of people in the video segments. The average number of people in the same time period across different periods is then calculated to obtain historical traffic data for different time periods.

7. The state-estimation based dynamic scheduling method for emergency broadcasting of digital television according to claim 1, wherein, The diffusion simulation process is as follows: A pre-trained pedestrian flow diffusion model is obtained. Each grid where a camera is located is recorded as the source. Starting from the source, the pedestrian flow data of the camera at time point t is simulated to diffuse along the surrounding grid through the pedestrian flow diffusion model to obtain pedestrian flow data in other tables. The pedestrian flow data in other tables is compared with a preset threshold. Based on the comparison result, the grid is defined with the camera as the center as the propagation range.

8. A state estimation based dynamic scheduling system for emergency broadcasting of digital television, characterized in that, The application of the state prediction-based dynamic scheduling method for digital television emergency broadcasting as described in any one of claims 1-7 includes: Initialization module: Classifies and labels all digital TVs within the target area into home digital TVs and public digital TVs, and divides the target area into closed areas and open areas based on the type of digital TV; labels all cameras within the open area, and divides the open area into multiple grids based on the number of cameras. Emergency Trigger Module: At time t, when receiving current emergency information related to the target area, obtain the historical power-on / off logs of all household digital TVs in the closed area, obtain the initial coverage range of all public digital TVs in the open area on the grid, and obtain historical pedestrian traffic data collected by all cameras; Digital TV power on / off status prediction module: Based on historical power on / off logs, it predicts the first coverage area of ​​the closed area by playing the current emergency information on all household digital TVs within the closed area; Digital TV propagation status prediction module: Based on historical traffic data and initial coverage area prediction, the second coverage area is obtained by broadcasting the current emergency information on all public digital TVs in the open area and propagating it on the grid. An emergency dynamic dispatching module: rendering the target region based on the first coverage range and the second coverage range, generating a resource dispatching instruction on the rendered target region, and packaging and distributing the resource dispatching instruction and the current emergency information.

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