Scenic spot emergency broadcast playing method and device for passenger flow management, and medium

Abstract

The invention provides a scenic spot emergency broadcast playing method and device for passenger flow management and a medium, and relates to the technical field of emergency broadcasts. A panoramic camera and emergency broadcasts are arranged based on a fork of a scenic spot, and the crowd flow in an electronic fence is captured in real time through the panoramic camera; when the crowd flow in the two adjacent electronic fences is detected to exceed a threshold value, a guide road section between the branch forks is triggered, emergency broadcast of the branch forks is controlled to play broadcast with guidance under the directivity of the guide road section, and the possible crowdedness degree of the road is predicted through the branch forks, so that the crowdedness degree of the road is predicted, and the crowdedness degree of the road is predicted. The effect of guiding people to go to a route which is not easy to be crowded by playing the broadcast with guidance is achieved, the emergency broadcast content can be flexibly adjusted, and scenic spot management and control personnel can conveniently and timely know the occurrence of dangerous events and know the whole process of the current emergency.

Description

Technical Field

[0001] The invention relates to the technical field of emergency broadcasting, and specifically designs a scenic area emergency broadcasting playing method, device and medium for passenger flow management. Background Art

[0002] Since scenic spots generally cover a large area and contain many and complex roads, they usually recommend several best tour routes to tourists to improve their experience and make the roads in the best tour routes the roads with the most people flowing. Especially during peak tourist seasons, if the roads are narrow, it is easy for people to queue up and crowd, leading to stampedes. At present, in order to prevent such emergencies, scenic spots simply use fixed warning signs or repeated broadcasts to remind people to pay attention to safety. However, this measure cannot be used flexibly, and scenic spot management personnel cannot be notified of dangerous events in a timely manner. Summary of the invention

[0003] The purpose of the present invention is to provide a scenic area emergency broadcasting broadcasting method for passenger flow management, which is based on setting a panoramic camera and an emergency broadcast at the fork in the scenic area, and using the panoramic camera to capture the crowd flow in the electronic fence in real time to predict the possible congestion level of the road. Thus, a guiding broadcast is played at the fork to guide the crowd to a route that is less likely to be congested. Not only can the emergency broadcasting content be flexibly adjusted, but it is also convenient for scenic area management and control personnel to be informed of the occurrence of dangerous events in a timely manner and understand the entire process of the current emergency.

[0004] In order to solve the above technical problems, the present invention adopts the following solutions: A scenic spot emergency broadcasting method for passenger flow management is provided, wherein a panoramic camera and an emergency broadcast are arranged at the center of a fork including at least three intersections, and an electronic fence of the same size is formed by spreading a preset distance around the panoramic camera as the center of a circle, and the crowd flow within the electronic fence is captured in real time by the panoramic camera; the scenic spot emergency broadcasting method comprises the following steps: S1: Obtain corresponding intersection branch lines according to the intersections where the electronic fences are set, map the electronic fences on the electronic fence network diagram, and associate the electronic fences through the intersection branch lines; S2: When the panoramic camera detects that the crowd flow in two adjacent electronic fences on the electronic fence mesh diagram exceeds the threshold, the electronic fence with a larger crowd flow is selected as the electronic fence to be processed, and the process goes to step S3; S3: Refresh the electronic fence mesh diagram and obtain the electronic fence to be processed on the current electronic fence mesh diagram, and determine the intersection direction of the electronic fence to be processed in turn according to the corresponding crowd flow and the predicted congestion of multiple intersection branch lines, and obtain the guide section from the electronic fence to be processed to the adjacent electronic fence; S4: Corresponding emergency instructions are synchronously issued to the emergency broadcast set at the center of the fork according to the guide section, so that the emergency broadcast plays a broadcast for guiding the crowd to walk along the guide section to the corresponding intersection.

[0005] Furthermore, S3 includes the following steps: S31: obtaining the electronic fence to be processed on the current electronic fence network diagram, and determining whether the electronic fence to be processed is associated with a guide section, if so, then ending; if not, then going to step S32; S32: determining the intersection direction of the electronic fence to be processed according to the current crowd flow corresponding to the electronic fence to be processed and the predicted congestion of multiple intersection branch lines, and obtaining an intersection branch line by screening multiple intersection branch lines according to the determination result; S33: Generate a guide section from the electronic fence to be processed to the adjacent electronic fence based on the filtered intersection branch line, and update the current electronic fence network diagram based on the guide section. At the same time, take the adjacent electronic fence as the current electronic fence to be processed, and go to step S31.

[0006] Further, the S32 includes the following steps: S321: Obtain the number of intersection branch lines of the electronic fence on the current electronic fence mesh diagram and the road plane area corresponding to the intersection branch lines, obtain the fork weight value of the electronic fence according to the number of intersection branch lines, and obtain the road weight value of the intersection branch line according to the road plane area; S322: obtaining multiple intersection branch lines of the current electronic fence to be processed, and performing congestion prediction on the intersection branch line according to the crowd flow and fork weight value of the electronic fences associated with both ends of the intersection branch line to obtain the predicted congestion degree of the intersection branch line; S323: Compare the predicted congestion of multiple intersection branch lines of the current electronic fence to be processed according to the road weight value of the intersection branch line, and select an intersection branch line with the minimum predicted congestion.

[0007] Furthermore, in S33, the process of updating the current electronic fence network diagram according to the guide section is as follows: The intersection branch line corresponding to the current guide section is deleted in the current electronic fence mesh diagram, that is, the number of intersection branch lines of the electronic fence on the current electronic fence mesh diagram is updated.

[0008] Furthermore, in S322, the congestion prediction process is: The crowd flow of the electronic fences associated with both ends of the intersection branch line is multiplied by the corresponding fork weight value to obtain the predicted congestion of the intersection branch line. The fork weight value refers to a natural number preset in advance according to the number of intersection branch lines. The fork weight is less than 1 and greater than 0. When the number of intersection branch lines is larger, the corresponding fork weight value is smaller.

[0009] Further, in S323, the process of comparing the predicted congestion of multiple intersection branch lines of the current electronic fence to be processed according to the road weight value of the intersection branch line is as follows: The predicted congestion of the intersection branch line of the current electronic fence to be processed is multiplied by the corresponding road weight value, and then the size is compared. The road weight value refers to a natural number preset in advance according to the road plane area. The road weight value is less than 1 and greater than 0. When the road plane area of ​​the intersection branch line is larger, the corresponding road weight value is smaller.

[0010] Furthermore, the process of capturing the crowd flow in the electronic fence in real time through the panoramic camera is as follows: A video showing the passenger flow in and out of the electronic fence is obtained through a panoramic camera, and a convolutional neural network is used to identify the features of tourists in the video to obtain the current crowd flow.

[0011] A scenic spot emergency broadcast distribution device for passenger flow management, comprising: a memory for non-transitory storage of computer readable instructions; A processor is used to run the computer-readable instructions, and when the computer-readable instructions are run by the processor, the method for playing emergency broadcasts in a scenic area for passenger flow management is implemented.

[0012] A non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by a processor, a scenic spot emergency broadcasting method for passenger flow management is implemented.

[0013] Beneficial effects of the present invention: The present invention provides a scenic spot emergency broadcasting broadcasting method for passenger flow management. A panoramic camera and an emergency broadcasting are arranged based on a fork in the scenic spot. The crowd flow in an electronic fence is captured in real time by the panoramic camera. When it is detected that the crowd flow in two adjacent electronic fences exceeds a threshold, a guide section between the forks is triggered. Moreover, the emergency broadcasting at the fork is controlled to play a guiding broadcasting under the directionality of the guiding section. The possible congestion degree of the road is predicted through the fork, thereby achieving the effect of guiding the crowd to a route that is not prone to congestion by playing the guiding broadcasting. Not only can the emergency broadcasting content be flexibly adjusted to ensure the timeliness and accuracy of the information, but it can also facilitate scenic spot management and control personnel to be informed of the occurrence of dangerous events in a timely manner and understand the entire process of the current emergency. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a schematic diagram of a scenic spot map in Example 1 of the present invention; Figure 2 In Example 1 of the present invention, based on Figure 1 A schematic diagram of setting a panoramic camera at the center of a fork that includes at least three intersections; Figure 3 Schematic diagram of the flow of the scenic area emergency broadcasting method in Embodiment 1 of the present invention; Figure 4 In Example 1 of the present invention, based on Figure 2 A schematic diagram of the formed electronic fence mesh diagram; Figure 5 In Example 1 of the present invention, based on Figure 2 A schematic diagram of an updated electronic fence mesh diagram; Figure 6 This is a schematic diagram of a guidance route formed by guidance sections in Example 1 of the present invention. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. The following description of at least one exemplary embodiment is actually only illustrative and is by no means intended to limit the present invention and its application or use. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] The relative arrangement of components and steps, the numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.

[0017] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0018] Additionally, descriptions of well-known structures, functions, and configurations may be omitted for clarity and conciseness.One of ordinary skill in the art will recognize that various changes and modifications may be made to the examples described herein without departing from the spirit and scope of the present disclosure.

[0019] Technologies, methods, and apparatus known to ordinary technicians in the relevant field may not be discussed in detail, but where appropriate, such technologies, methods, and apparatus should be considered part of the authorization specification.

[0020] In all examples shown and discussed herein, any specific values ​​should be interpreted as merely exemplary and not as limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0021] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments: Example 1 Since the coverage of scenic spots is generally large, and the roads contained therein are also numerous and complex, scenic spots usually recommend several best tour routes to tourists to improve the tourists' experience and make the roads in the best tour routes the roads with the most crowds. Especially during the peak tourist season, if the roads are narrow, it is easy to cause crowds to queue up and crowds to trample. Therefore, in this embodiment, a scenic spot emergency broadcasting method for passenger flow management is proposed, the purpose of which is to avoid congestion on the roads of the scenic spot. In which, the current scenic spot map is as follows: Figure 1 As shown, in Figure 1 There are multiple scenic spots in the filled part around the middle road. Pedestrians can reach different scenic spots by following different roads when walking on the road. There are generally many forks on the road. Pedestrians can pass through the forks and go from one intersection to another, that is, to the next scenic spot. Therefore, pedestrians at the forks will face the choice of multiple intersections. Because pedestrians usually have a herd mentality and are prone to follow others or walk according to the best tourist route, pedestrians at the forks on both ends of the road go to the same road at the same time, which causes the road to be crowded with people, resulting in crowds being trampled.

[0022] Moreover, when pedestrians pass through a fork including two intersections, they can only go from one intersection to another. Therefore, in this embodiment, a panoramic camera and an emergency broadcast are mainly set at the center of the fork including at least three intersections. With the panoramic camera as the center, a preset distance is spread out to the surroundings to form an electronic fence of the same size, such as Figure 2As shown, the crowd flow in the electronic fence can be captured in real time by a panoramic camera. Specifically, a video showing the passenger flow in and out of the electronic fence is obtained by a panoramic camera, and a convolutional neural network is used to perform feature recognition on the tourists in the video to obtain the current crowd flow.

[0023] The step of using a convolutional neural network to identify the characteristics of tourists in the video may include: Using a surveillance camera to shoot a video, and extracting facial features and walking posture images of a person from the video; Using the convolutional layer to preliminarily extract the features of the facial features and walking posture of the person; The facial features and walking posture data of the person are extracted and compressed using a pooling layer; The features of the facial features and walking posture of the person are summarized using a fully connected layer; Set up the classifier, perform predictive recognition, obtain character judgments, and calculate the number.

[0024] Based on the above scenic area settings, a scenic area emergency broadcasting method for passenger flow management can be implemented, such as Figure 3 As shown, the scenic area emergency broadcast playing method includes the following steps: S1: Obtain corresponding intersection branch lines according to the intersections where the electronic fences are set, map the electronic fences on the electronic fence network diagram, and associate the electronic fences through the intersection branch lines; S2: When the panoramic camera detects that the crowd flow in two adjacent electronic fences on the electronic fence mesh diagram exceeds the threshold, the electronic fence with a larger crowd flow is selected as the electronic fence to be processed, and the process goes to step S3; S3: Refresh the electronic fence mesh diagram and obtain the electronic fence to be processed on the current electronic fence mesh diagram, and determine the intersection direction of the electronic fence to be processed in turn according to the corresponding crowd flow and the predicted congestion of multiple intersection branch lines, and obtain the guide section from the electronic fence to be processed to the adjacent electronic fence; S4: Corresponding emergency instructions are synchronously issued to the emergency broadcast set at the center of the fork according to the guide section, so that the emergency broadcast plays a broadcast for guiding the crowd to walk along the guide section to the corresponding intersection.

[0025] Preferably, S3 includes the following steps: S31: obtaining the electronic fence to be processed on the current electronic fence network diagram, and determining whether the electronic fence to be processed is associated with a guide section, if so, then ending; if not, then going to step S32; S32: determining the intersection direction of the electronic fence to be processed according to the current crowd flow corresponding to the electronic fence to be processed and the predicted congestion of multiple intersection branch lines, and obtaining an intersection branch line by screening multiple intersection branch lines according to the determination result; S33: Generate a guide section from the electronic fence to be processed to the adjacent electronic fence based on the filtered intersection branch line, and update the current electronic fence network diagram based on the guide section. At the same time, take the adjacent electronic fence as the current electronic fence to be processed, and go to step S31.

[0026] Preferably, the S32 includes the following steps: S321: Obtain the number of intersection branch lines of the electronic fence on the current electronic fence mesh diagram and the road plane area corresponding to the intersection branch lines, obtain the fork weight value of the electronic fence according to the number of intersection branch lines, and obtain the road weight value of the intersection branch line according to the road plane area; S322: obtaining multiple intersection branch lines of the current electronic fence to be processed, and performing congestion prediction on the intersection branch line according to the crowd flow and fork weight value of the electronic fences associated with both ends of the intersection branch line to obtain the predicted congestion degree of the intersection branch line; S323: Compare the predicted congestion of multiple intersection branch lines of the current electronic fence to be processed according to the road weight value of the intersection branch line, and select an intersection branch line with the minimum predicted congestion.

[0027] Preferably, in S33, the process of updating the current electronic fence mesh diagram according to the guide section is: The intersection branch line corresponding to the current guide section is deleted in the current electronic fence mesh diagram, that is, the number of intersection branch lines of the electronic fence on the current electronic fence mesh diagram is updated.

[0028] Preferably, in S322, the congestion prediction process is: The crowd flow of the electronic fences associated with both ends of the intersection branch line is multiplied by the corresponding fork weight value to obtain the predicted congestion of the intersection branch line. The fork weight value refers to a natural number preset in advance according to the number of intersection branch lines. The fork weight is less than 1 and greater than 0. When the number of intersection branch lines is larger, the corresponding fork weight value is smaller.

[0029] Preferably, in S323, the process of comparing the predicted congestion of multiple intersection branch lines of the current electronic fence to be processed according to the road weight value of the intersection branch line is: The predicted congestion of the intersection branch line of the current electronic fence to be processed is multiplied by the corresponding road weight value, and then the size is compared. The road weight value refers to a natural number preset in advance according to the road plane area. The road weight value is less than 1 and greater than 0. When the road plane area of ​​the intersection branch line is larger, the corresponding road weight value is smaller.

[0030] Based on the above principles, the present invention is further described: When based on Figure 2 When mapping the electronic fence on the scenic area map, you can get the following Figure 4 The electronic fence network diagram shown includes electronic fence A1, electronic fence A2, electronic fence A3, electronic fence A4, electronic fence A5, intersection branch line L1, intersection branch line L2, intersection branch line L3, intersection branch line L4, intersection branch line L5, intersection branch line L6, intersection branch line L7, and intersection branch line L8.

[0031] Specifically, the crowd flow in the electronic fence is captured in real time by a panoramic camera. If at this time, it is detected that the crowd flow in the current electronic fence A1 is P1, the crowd flow in the electronic fence A2 is P2, the crowd flow in the electronic fence A3 is P3, the crowd flow in the electronic fence A4 is P4, and the crowd flow in the electronic fence A5 is P5, and P1=P2 <P4<P3<P2。

[0032] At this time, if it is detected that the crowd flow in the two adjacent electronic fences A2 and A3 exceeds the threshold, that is, P2 and P3 are both greater than the threshold, it can be indicated that the road between the two forks is prone to congestion, and further judgment is needed on the current electronic fences A2 and A3.

[0033] Next, the electronic fence A2 with a large crowd flow is selected as the current electronic fence to be processed, and it is determined whether the electronic fence to be processed is associated with a guide section. At this time, the electronic fence A2 has not yet been associated with a guide section, so the intersection direction of the electronic fence to be processed is determined based on the current crowd flow corresponding to the electronic fence to be processed and the predicted congestion of multiple intersection branch lines.

[0034] Before making an intersection direction determination, it is necessary to first obtain the number of intersection branch lines of the electronic fence on the current electronic fence network diagram and the road plane area corresponding to the intersection branch lines, obtain the fork weight value of the electronic fence according to the number of intersection branch lines, and obtain the road weight value of the intersection branch line according to the road plane area; among them, different fork weight values ​​can be used to represent the predicted amount of the number of people at the fork being evenly distributed to different numbers of intersection branch lines, and the road weight value can be used to represent the predicted amount of congestion caused by the number of people walking to intersection branch lines on different road plane areas.

[0035] When the number of intersection branch lines is preset to 1, the weight value of the fork is a1; when the number of intersection branch lines is 2, the weight value of the fork is a2; when the number of intersection branch lines is 3, the weight value of the fork is a3; when the number of intersection branch lines is 4, the weight value of the fork is a4; and a1 > a2 > a3 > a4. Also, the road weight values of the intersection branch lines with different road plane areas are preset.

[0036] Specifically, in the Figure 4 shown electronic fence mesh diagram, the number of intersection branch lines of the current electronic fences A1, A2, A4, and A5 is 3 each, and the number of intersection branch lines of the electronic fence A3 is 4. Then, based on the current electronic fence to be processed (electronic fence A2), the intersection branch lines L1, L4, and L6 of the current electronic fence A2 are obtained, and the crowd flow and fork weight values of the electronic fences associated with both ends of the intersection branch lines are used to predict the congestion of the intersection branch lines L1, L4, and L6. Specifically: The predicted congestion degree of the intersection branch line L1 is: Q1 = P1 * a3 + P2 * a3, and so on. The predicted congestion degree of the intersection branch line L4 is: Q4 = P2 * a3 + P3 * a4, and the predicted congestion degree of the intersection branch line L6 is: Q6 = P2 * a3 + P5 * a3. It can be obtained that Q6 = Q1 < Q4.

[0037] Then, according to the road weight values of the intersection branch lines, the predicted congestion degrees of the multiple intersection branch lines of the current electronic fence to be processed are compared, and an intersection branch line with the smallest predicted congestion degree is selected. Specifically: If the road weight value of the intersection branch line L1 is b1, the road weight value of the intersection branch line L4 is b4, and the road weight value of the intersection branch line L6 is b6, and b4 > b1 > b6; at this time, the predicted congestion degree of the intersection branch line is multiplied by the corresponding road weight value, and then compared in size, and it is obtained that Q6 * b6 < Q1 * b1 < Q4 * b4. Then, the intersection branch line L6 with the smallest predicted congestion degree is selected.

[0038] At this time, the intersection branch line L6 is generated into a guiding section pointing from the electronic fence to be processed to the adjacent electronic fence, that is, the guiding section of the electronic fence A2 is L6. Then, the current electronic fence mesh diagram is updated according to the guiding section, that is, the intersection branch line corresponding to the current guiding section is deleted from the current electronic fence mesh diagram. As Figure 5 shown, it can be seen that the number of intersection branch lines of the current electronic fence A5 is updated to 2.

[0039] Then, the electronic fence A5 is used as the current electronic fence to be processed. According to the above steps, the intersection direction of the electronic fence A5 is determined according to the current crowd flow corresponding to the electronic fence to be processed and the predicted congestion of multiple intersection branch lines, and the guide section of the electronic fence A5 is generated, and so on.

[0040] In summary, the guiding sections of all electronic fences can be obtained. If multiple guiding sections are connected, a guiding route can be formed, such as Figure 6 As shown, the current guidance route can intuitively display the emergency response process of scenic area control personnel to the crowd in the scenic area, which is convenient for the scenic area control personnel to perform subsequent operations. In addition, under the directionality of the guidance section, the emergency broadcast at the fork is controlled to play a guiding broadcast, and the possible congestion of the road is predicted through the fork, so as to achieve the effect of guiding the crowd to a route that is not prone to congestion by playing a guiding broadcast, and the content of the emergency broadcast can be flexibly adjusted to ensure the timeliness and accuracy of the information.

[0041] Example 2 A scenic spot emergency broadcast distribution device for passenger flow management, comprising: a memory for non-transitory storage of computer readable instructions; A processor is used to run the computer-readable instructions, and when the computer-readable instructions are run by the processor, the method for playing emergency broadcasts in a scenic area for passenger flow management is implemented.

[0042] A non-transitory computer-readable storage medium, wherein the non-transitory computer-readable storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by a processor, a scenic spot emergency broadcasting method for passenger flow management is implemented.

[0043] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. According to the technical essence of the present invention, within the spirit and principles of the present invention, any simple modification, equivalent replacement and improvement made to the above embodiment still falls within the protection scope of the technical solution of the present invention.

Claims

1. A scenic area emergency broadcasting method for passenger flow management, characterized in that: A panoramic camera and emergency broadcast are installed at the center of a fork that includes at least three intersections. With the panoramic camera as the center, a preset distance is spread out to the surroundings to form an electronic fence of the same size. The panoramic camera is used to capture the flow of people in the electronic fence in real time; The scenic area emergency broadcast playing method comprises the following steps: S1: Obtain corresponding intersection branch lines according to the intersections where the electronic fences are set, map the electronic fences on the electronic fence network diagram, and associate the electronic fences through the intersection branch lines; S2: When the panoramic camera detects that the crowd flow in two adjacent electronic fences on the electronic fence mesh diagram exceeds the threshold, the electronic fence with a larger crowd flow is selected as the electronic fence to be processed, and the process goes to step S3; S3: Refresh the electronic fence mesh diagram and obtain the electronic fence to be processed on the current electronic fence mesh diagram, and determine the intersection direction of the electronic fence to be processed in turn according to the corresponding crowd flow and the predicted congestion of multiple intersection branch lines, and obtain the guide section from the electronic fence to be processed to the adjacent electronic fence; S4: Corresponding emergency instructions are synchronously issued to the emergency broadcast set at the center of the fork according to the guide section, so that the emergency broadcast plays a broadcast for guiding the crowd to walk along the guide section to the corresponding intersection.

2. A scenic area emergency broadcasting method for passenger flow management according to claim 1, characterized in that: The S3 includes the following steps: S31: obtaining the electronic fence to be processed on the current electronic fence network diagram, and determining whether the electronic fence to be processed is associated with a guide section, if so, then ending; if not, then going to step S32; S32: determining the intersection direction of the electronic fence to be processed according to the current crowd flow corresponding to the electronic fence to be processed and the predicted congestion of multiple intersection branch lines, and obtaining an intersection branch line by screening multiple intersection branch lines according to the determination result; S33: Generate a guide section from the electronic fence to be processed to the adjacent electronic fence based on the filtered intersection branch line, and update the current electronic fence network diagram based on the guide section. At the same time, take the adjacent electronic fence as the current electronic fence to be processed, and go to step S31.

3. A scenic area emergency broadcasting method for passenger flow management according to claim 2, characterized in that: The S32 includes the following steps: S321: Obtain the number of intersection branch lines of the electronic fence on the current electronic fence mesh diagram and the road plane area corresponding to the intersection branch lines, obtain the fork weight value of the electronic fence according to the number of intersection branch lines, and obtain the road weight value of the intersection branch line according to the road plane area; S322: obtaining multiple intersection branch lines of the current electronic fence to be processed, and performing congestion prediction on the intersection branch line according to the crowd flow and fork weight value of the electronic fence associated with both ends of the intersection branch line to obtain the predicted congestion degree of the intersection branch line; S323: Compare the predicted congestion of multiple intersection branch lines of the current electronic fence to be processed according to the road weight value of the intersection branch line, and select an intersection branch line with the minimum predicted congestion.

4. A scenic area emergency broadcasting method for passenger flow management according to claim 2, characterized in that: In S33, the process of updating the current electronic fence network diagram according to the guide section is as follows: The intersection branch line corresponding to the current guide section is deleted in the current electronic fence mesh diagram, that is, the number of intersection branch lines of the electronic fence on the current electronic fence mesh diagram is updated.

5. A scenic area emergency broadcasting method for passenger flow management according to claim 3, characterized in that: In S322, the congestion prediction process is: The crowd flow of the electronic fences associated with both ends of the intersection branch line is multiplied by the corresponding fork weight value to obtain the predicted congestion of the intersection branch line. The fork weight value refers to a natural number preset in advance according to the number of intersection branch lines. The fork weight is less than 1 and greater than 0. When the number of intersection branch lines is larger, the corresponding fork weight value is smaller.

6. A scenic area emergency broadcasting method for passenger flow management according to claim 3, characterized in that: In S323, the process of comparing the predicted congestion of multiple intersection branch lines of the current electronic fence to be processed according to the road weight values ​​of the intersection branch lines is as follows: The predicted congestion of the intersection branch line of the current electronic fence to be processed is multiplied by the corresponding road weight value, and then the size is compared. The road weight value refers to a natural number preset in advance according to the road plane area. The road weight value is less than 1 and greater than 0. When the road plane area of ​​the intersection branch line is larger, the corresponding road weight value is smaller.

7. A scenic area emergency broadcasting method for passenger flow management according to claim 1, characterized in that: The process of capturing the crowd flow within the electronic fence in real time through a panoramic camera is as follows: A video showing the passenger flow in and out of the electronic fence is obtained through a panoramic camera, and a convolutional neural network is used to identify the features of tourists in the video to obtain the current crowd flow.

8. A scenic area emergency broadcasting device for passenger flow management, characterized in that: include: a memory for non-transitory storage of computer readable instructions; A processor is used to run the computer-readable instructions, and when the computer-readable instructions are run by the processor, the method for playing emergency broadcasts in a scenic area for passenger flow management as described in any one of claims 1 to 7 is implemented.

9. A non-transitory computer-readable storage medium, wherein: The non-transitory computer-readable storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by the processor, the method for playing emergency broadcasts in a scenic area for passenger flow management described in any one of claims 1 to 7 is implemented.

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