Three-dimensional visual congestion early warning and diversion guiding method and system for scenic spot

Abstract

The invention provides a scenic area three-dimensional visual congestion early warning and diversion guiding method and system, and the method comprises the steps: obtaining the position information of a scenic area, and building a scenic area three-dimensional model of the scenic area based on the position information; determining tourist areas included in the scenic area from the scenic area three-dimensional model, acquiring people flow information at a port of each tourist area, and judging whether each tourist area has potential congestion or not based on the people flow information; if yes, tourist distribution in the target tourist area with potential congestion is obtained, congestion information of the target tourist area is determined based on the tourist distribution, and the congestion information is drawn in the target tourist area in the scenic area three-dimensional model; if not, drawing a preset color in a tourist area in the scenic spot three-dimensional model; and performing congestion early warning according to the drawn scenic area three-dimensional model. According to the invention, the accuracy of scenic area congestion early warning and diversion guidance can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of scenic spots, and in particular to a method and system for three-dimensional visual congestion warning and diversion guidance in scenic spots. Background Art

[0002] During scenic area operations, peak visitor flows often lead to excessive congestion in local areas, which not only affects visitor experience and safety but can also cause problems such as facility overload and environmental damage. Therefore, congestion warnings and diversion guidance are necessary for scenic areas.

[0003] Currently, two-dimensional visual congestion warnings and diversion guidance are commonly used. These are primarily based on electronic maps or floor plans, using heat maps to display the density of pedestrian traffic within a scenic area. When passenger flow in a particular area exceeds a threshold, an alert is automatically triggered. Areas without warnings are then identified as areas where tourists should be diverted. These diversion locations are then promoted via text messages, broadcasts, or electronic screens, guiding tourists to less congested areas. However, visitors within a scenic area can be at different heights on the same surface, making current two-dimensional visual congestion warnings and diversion guidance less accurate. Summary of the Invention

[0004] In order to improve the accuracy of congestion warning and diversion guidance in scenic spots, the embodiments of the present application provide a three-dimensional visual congestion warning and diversion guidance method and system for scenic spots.

[0005] In a first aspect, a three-dimensional visual congestion warning method for a scenic spot is provided, the method comprising: obtaining location information of the scenic spot, and establishing a three-dimensional model of the scenic spot based on the location information; Determining tourist areas included in the scenic area from the three-dimensional model of the scenic area, obtaining crowd flow information at the ports of each tourist area, and determining whether there is potential congestion in each tourist area based on the crowd flow information; If so, obtaining a distribution of tourists in a target tourist area with potential congestion, determining congestion information of the target tourist area based on the tourist distribution, and mapping the congestion information in the target tourist area in the three-dimensional model of the scenic area; If not, the preset color is drawn in the tourist area in the three-dimensional model of the scenic area; Congestion warning is issued based on the drawn three-dimensional model of the scenic area.

[0006] In some embodiments, determining the tourist area included in the scenic area from the three-dimensional model of the scenic area includes: Determining the forks included in the scenic area from the three-dimensional model of the scenic area, bringing each fork into the three-dimensional model of the scenic area to determine the area corresponding to the fork, and determining the three-dimensional coordinates of the center point of each area; The three-dimensional coordinates of all areas are plotted in a blank three-dimensional coordinate system to obtain the three-dimensional coordinates of several different tourist areas. The area corresponding to each three-dimensional coordinate of the tourist area is the tourist area included in the scenic area.

[0007] In some embodiments, the crowd flow information includes entering crowd flow information and leaving crowd flow information, and determining whether there is potential congestion in each tourist area based on the crowd flow information includes: Determine whether the outgoing flow information corresponding to each tourist area is greater than the incoming flow information. If so, obtain a history mark of the tourist area. If the history mark indicates non-congestion, there is no potential congestion in the tourist area. If the historical mark is congestion, obtaining historical crowd flow information and area of ​​the tourist area, and determining whether there is potential congestion in the tourist area based on the historical crowd flow information and area; If not, obtaining a history mark of the tourist area; if the history mark indicates congestion, the tourist area has potential congestion; If the historical mark is non-congested, historical crowd flow information and area of ​​the tourist area are obtained, and whether there is potential congestion in the tourist area is determined based on the historical crowd flow information and area.

[0008] In some embodiments, determining whether there is potential congestion in the tourist area based on the historical crowd flow information and the area includes: Determine the actual number of people in the tourist area based on the historical crowd flow information, and determine the average number of people per unit based on the actual number of people and the area of ​​the area; If the average number of people per unit is less than the preset number of people per unit, there is no potential congestion in the visitor area; If the average number of people per unit is not less than the preset number of people per unit, there is potential congestion in the tourist area.

[0009] In some embodiments, the incoming crowd flow information includes an incoming crowd flow speed, the target tourist area is one of a road target tourist area and a platform target tourist area, and obtaining the tourist distribution in the target tourist area with potential congestion includes: If the target tourist area is a platform target tourist area, a panoramic shooting instruction is generated to shoot a panoramic view of the target tourist area to obtain the distribution of tourists in the target tourist area; If the target tourist area is a road target tourist area, the intermediate tourist distribution in other areas of the target tourist area except the preset range of the fork is photographed, and the fork tourist distribution within the preset range of the fork is determined based on the flow speed of the target tourist area, wherein the tourist distribution in the target tourist area includes the intermediate tourist distribution and the fork tourist distribution.

[0010] In some embodiments, determining congestion information of the tourist area based on the tourist distribution includes: The number of people per unit area in the target tourist area is determined based on the tourist distribution, and each number of people per unit area is substituted into the preset number-and-color comparison relationship to obtain sub-congestion information corresponding to the number of people per unit area, wherein the congestion information of the target tourist area includes each sub-congestion information in the target area.

[0011] In some embodiments, the step of painting the preset color in the visitor area in the three-dimensional model of the scenic area includes: Obtaining historical crowd flow information and area of ​​each tourist area respectively, determining the actual number of people in the tourist area based on the historical crowd flow information, and determining the average number of people per unit based on the actual number of people and the area; Determine the ratio of the average number of people per unit to the preset number of people per unit, and substitute the ratio into the preset ratio and color correspondence to obtain the preset color corresponding to the visitor area; The preset color is drawn in the tourist area in the three-dimensional model of the scenic area.

[0012] In a second aspect, a scenic spot diversion and guidance method is provided, which uses any one of the scenic spot three-dimensional visualization congestion warning methods described in the first aspect to determine whether the scenic spot is congested. The method includes: When it is determined that there is congestion in the scenic area, the non-congested tourist area and the congested area are determined from the drawn three-dimensional model of the scenic area; From all non-congested tourist areas, several non-congested tourist areas close to the diversion area corresponding to each congested area are determined respectively, and all the non-congested tourist areas close to the diversion area are sent to the tourists in the congested area to complete the scenic area diversion guidance.

[0013] In a third aspect, a three-dimensional visual congestion warning system for scenic spots is provided, the system comprising: a modeling module, a processing module, a visualization module and a congestion warning module; wherein, The modeling module is used to obtain the location information of the scenic area and establish a three-dimensional model of the scenic area based on the location information; The processing module is used to determine the tourist areas included in the scenic area from the three-dimensional model of the scenic area, obtain the passenger flow information at the port of each tourist area, and determine whether there is potential congestion in each tourist area based on the passenger flow information; The visualization module is used to obtain the distribution of tourists in the target tourist area with potential congestion, if any, determine the congestion information of the target tourist area based on the tourist distribution, and draw the congestion information in the target tourist area in the three-dimensional model of the scenic area; If not, the preset color is drawn in the tourist area in the three-dimensional model of the scenic area; The congestion warning module performs congestion warning based on the drawn three-dimensional model of the scenic area.

[0014] In a fourth aspect, a scenic spot diversion and guidance system is provided, which uses any one of the scenic spot three-dimensional visualization congestion warning methods described in the first aspect to determine whether the scenic spot is congested, and the system includes an acquisition module and a diversion and guidance module; wherein, The acquisition module is used to determine the non-congested tourist area and the congested area from the drawn three-dimensional model of the scenic area when it is determined that there is congestion in the scenic area; The diversion guidance module is used to determine several non-congested tourist areas close to the diversion corresponding to each congested area from all non-congested tourist areas, and send all the non-congested tourist areas close to the diversion to tourists in the congested area to complete the scenic area diversion guidance.

[0015] By adopting the above method, the present application provides a three-dimensional visualization congestion warning method for a scenic area. The method first obtains the location information of the scenic area and creates a three-dimensional model of the scenic area based on the location information. This initial creation of the three-dimensional scenic area model facilitates subsequent marking of determined congestion conditions. The three-dimensional scenic area model then identifies the tourist areas within the scenic area, obtains information on the flow of people at the ports of each tourist area, and determines whether each tourist area has potential congestion based on this flow of people. A conclusion is drawn as to whether all tourist areas have potential congestion, providing information for further determining whether a tourist area is congested. If so, the distribution of tourists in the target tourist area with potential congestion is obtained. Based on this distribution, congestion information for the target tourist area is determined and mapped within the target tourist area within the three-dimensional scenic area model. If not, a preset color is mapped within the target tourist area within the three-dimensional scenic area model. This facilitates more targeted three-dimensional visualization of congestion conditions within the tourist area. Finally, a congestion warning is issued based on the mapped three-dimensional scenic area model. This method achieves highly accurate scenic area congestion warnings, enabling tourists to be informed of the congestion situation and providing highly accurate three-dimensional visualization of congestion warnings within the scenic area.

[0016] In addition, a scenic area diversion and guidance method uses the aforementioned three-dimensional visualization congestion warning method to determine whether a scenic area is congested. When congestion is determined, non-congested tourist areas and congested areas are identified from a rendered three-dimensional model of the scenic area. Several adjacent non-congested tourist areas corresponding to each congested area are then identified from all non-congested tourist areas. These adjacent non-congested tourist areas are then sent to tourists in congested areas to complete scenic area diversion guidance. By relying on the three-dimensional visualization congestion warning method for diversion guidance, the desired area can be three-dimensionalized, improving the accuracy of the scenic area location and, consequently, the accuracy of diversion guidance. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a block diagram of a three-dimensional visual congestion warning method for a scenic area provided in an embodiment of the present application.

[0018] Figure 2 This is a block diagram of determining the tourist area included in a scenic area from a three-dimensional model of the scenic area provided in an embodiment of the present application.

[0019] Figure 3 This is a block diagram of a scenic area diversion and guidance method provided by this application.

[0020] Figure 4 This is a connection diagram of a three-dimensional visual congestion warning system for a scenic area provided in an embodiment of the present application.

[0021] Figure 5 This is a connection diagram of a scenic area diversion guidance system provided by this application DETAILED DESCRIPTION

[0022] In order to more clearly understand the purpose, technical solutions and advantages of the present application, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. However, it should be understood by those skilled in the art that the present application can be implemented without these details. It is obvious to those skilled in the art that various changes can be made to the embodiments disclosed in the present application, and the general principles defined in the present application can be applied to other embodiments and application scenarios without departing from the principles and scope of the present application. Therefore, the present application is not limited to the embodiments shown, but conforms to the broadest scope consistent with the scope claimed in the present application.

[0023] The embodiments of the present application are described in further detail below with reference to the accompanying drawings.

[0024] Figure 1 This is a block diagram of a three-dimensional visual congestion warning method for scenic spots provided by the embodiment of this application. Figure 1 As shown, a three-dimensional visual congestion warning method for scenic spots includes the following steps: Step S100: Acquire location information of a scenic spot, and establish a three-dimensional model of the scenic spot based on the location information.

[0025] This embodiment is described from the perspective of the processing and control end. The aforementioned location information specifically refers to the outline location of the area encompassed by the scenic area. The first method involves obtaining the location information of the scenic area from the associated map software after receiving the name of the scenic area requiring a congestion warning from staff. The second method also directly obtains the location information of the scenic area by receiving the location information of the scenic area requiring a congestion warning from staff. Further limitations are not set forth herein regarding obtaining the location information of the scenic area.

[0026] After obtaining the location information of the scenic area, the location information can be substituted into the associated software that can display the overall view of the scenic area, and the structural information of the scenic area can be obtained from this related software. The obtained structural information of the scenic area can then be sent to the 3D modeling software stored on the processing and control end to obtain the 3D model of the scenic area. Alternatively, the location information can be substituted into the associated device that stores drawings of the scenic area, and the location information can be compared with all the stored drawings to obtain the drawings corresponding to the location information. The obtained drawings can then be sent to the 3D modeling software stored on the processing and control end to obtain the 3D model of the scenic area. By first establishing the 3D model of the scenic area, it is convenient to mark the congestion situation accordingly.

[0027] Step S200: determine the tourist areas included in the scenic area from the three-dimensional model of the scenic area, obtain the flow of people information at the port of each tourist area, and judge whether there is potential congestion in each tourist area based on the flow of people information.

[0028] The aforementioned visitor area specifically refers to the area through which visitors enter the scenic area. The visitor area can be divided into road visitor areas and platform visitor areas. The platform visitor area specifically includes areas such as observation decks and halls. Figure 2 This is a diagram of determining the tourist area contained in a scenic area from a three-dimensional model of the scenic area provided by the embodiment of the present application. Figure 2 As shown, determining the tourist area included in the scenic area from the three-dimensional model of the scenic area includes the following steps: Step S201: determine the forks in the scenic area from the three-dimensional model of the scenic area, substitute each fork into the three-dimensional model of the scenic area to determine the area corresponding to the fork, and determine the three-dimensional coordinates of the center point of each area.

[0029] Step S202: plotting the three-dimensional coordinates of all regions in a blank three-dimensional coordinate system to obtain three-dimensional coordinates of several different tourist regions. The region corresponding to each three-dimensional coordinate of the tourist region is the tourist region included in the scenic area.

[0030] The fork features of each fork are obtained from a preset feature library. These features are then substituted into the 3D model of the scenic area and compared with the 3D model to determine the forks contained in the scenic area. The corresponding region for each fork is then determined by examining the regions connected to it in the 3D model. Each fork in the 3D model connects to at least three regions. The center point of each region is then determined using a related method for determining the region center point. A straight line is then drawn through this center point, passing through the region's outline. The two intersection points of the straight line and the outline are obtained, and the average of these two intersection points is used to determine the 3D coordinates of the region's center point.

[0031] Each area corresponding to a fork is a tourist area. Since the areas corresponding to different forks may overlap, it is necessary to further delete the same areas from the areas obtained above. Specifically, the regional three-dimensional coordinates of all the obtained areas are plotted in the same blank three-dimensional coordinate system, and the three-dimensional coordinates of several different tourist areas can be obtained. Then, all the obtained three-dimensional coordinates of different tourist areas are marked in the three-dimensional model of the scenic area. Finally, the areas corresponding to the marked three-dimensional coordinates of the areas are determined as the tourist areas included in the scenic area. Among them, the regional three-dimensional coordinates corresponding to the same areas will overlap. In this way, by using the coordinate system to intuitively, quickly and accurately select different tourist areas from many repeated tourist areas, that is, the tourist areas included in the scenic area, the three-dimensional coordinates of the areas can be used. And because the number of features of the fork is less than that of the road and the platform, by indirectly determining the tourist areas included in the scenic area with the help of the fork, the computational complexity can be reduced and the efficiency of determining the tourist areas included in the scenic area can be improved.

[0032] By monitoring the direction of mobile phone signal movement and the number of people moving in the same direction at each port in the scenic area, we can obtain information about the flow of people at each port. This information includes both incoming and outgoing traffic. By leveraging mobile phone signals to obtain this information, we can reduce hardware deployment and thus lower costs.

[0033] After obtaining the crowd flow information at the port of each tourist area, it is determined whether there is potential congestion in each tourist area based on the crowd flow information to preliminarily determine the situation in each tourist area. The determination of whether there is potential congestion in each tourist area based on the crowd flow information includes the following steps: Step S203, determine whether the outgoing flow information corresponding to each tourist area is greater than the incoming flow information. If so, obtain the historical mark of the tourist area. If the historical mark is non-congested, there is no potential congestion in the tourist area.

[0034] Step S204: If the historical mark is congestion, obtain historical crowd flow information and area of ​​the tourist area, and determine whether there is potential congestion in the tourist area based on the historical crowd flow information and area.

[0035] Step S205: If it is not greater than, obtain the historical mark of the tourist area. If the historical mark is congested, there is potential congestion in the tourist area.

[0036] Step S206: If the historical mark is non-congested, obtain historical crowd flow information and area of ​​the tourist area, and determine whether there is potential congestion in the tourist area based on the historical crowd flow information and area.

[0037] The above-mentioned incoming crowd flow information specifically refers to the flow rate and flow speed of people entering the tourist area. The outgoing crowd flow information specifically refers to the flow rate and flow speed of people leaving the tourist area. By comparing whether the flow rate in the outgoing crowd flow information of each tourist area is greater than the flow rate in the incoming crowd flow information, it is determined whether the outgoing crowd flow information corresponding to each tourist area is greater than the incoming crowd flow information. If the flow rate in the outgoing crowd flow information of a tourist area is greater than the flow rate in the incoming crowd flow information, then the outgoing crowd flow information corresponding to the tourist area is greater than the incoming crowd flow information. If the flow rate in the outgoing crowd flow information of a tourist area is not greater than the flow rate in the incoming crowd flow information, then the outgoing crowd flow information corresponding to the tourist area is not greater than the incoming crowd flow information.

[0038] If the outgoing traffic flow information corresponding to a tourist zone is greater than the incoming traffic flow information, it indicates that the number of tourists in that tourist zone is decreasing. At this time, the historical mark of the tourist zone can be checked to determine whether the tourist zone has been congested recently. If the tourist zone has not been congested recently, then the tourist zone is definitely not congested, that is, there is no potential congestion in the tourist zone. The processing and control end stores the historical mark of each tourist zone, that is, each state of each tourist zone at a historical moment. The historical mark of the tourist zone can be obtained by checking the information stored by the processing and control end.

[0039] If the outgoing flow information corresponding to a tourist area is greater than the incoming flow information, and the tourist area has been congested recently, the number of tourists in the tourist area may be decreasing, causing the tourist area to become non-congested, or it may still be congested. The historical flow information and area of ​​the tourist area can be obtained by viewing the information stored in the processing control terminal, and then the presence of potential congestion in the tourist area can be determined based on the historical flow information and area.

[0040] If the historical traffic flow corresponding to a visitor zone is not greater than the incoming traffic flow, it indicates that the number of visitors to the visitor zone has not decreased. You can then check the historical mark of the visitor zone to determine whether the visitor zone has been congested recently. If the visitor zone has been congested recently, then the visitor zone is definitely congested, meaning that there is potential congestion in the visitor zone.

[0041] If the outgoing flow information corresponding to a tourist area is not greater than the incoming flow information, and the tourist area has not been congested recently, the area may have changed from non-congested to congested because the number of tourists in the area has not decreased, or it may still be non-congested. The historical flow information and area of ​​the tourist area can be obtained by viewing the information stored in the processing control terminal, and then the presence of potential congestion in the tourist area can be determined based on the historical flow information and area.

[0042] Determining whether there is potential congestion in a tourist area based on historical passenger flow information and area size includes the following steps: Step S204 - 1 : determining the actual number of people in the tourist area based on historical crowd flow information, and determining the average number of people per unit based on the actual number of people and the area of ​​the area.

[0043] Step S204-2: If the average number of people per unit is less than the preset number of people per unit, there is no potential congestion in the tourist area.

[0044] Step S204-3: If the average number of people per unit is not less than the preset number of people per unit, there is potential congestion in the tourist area.

[0045] Historical crowd flow information includes historical entry and exit flows. For a visitor area, the total historical entry flow is calculated by summing all historical entry flows, and the total historical exit flow is calculated by summing all historical exit flows. Finally, the actual number of people in the visitor area is calculated by subtracting the total historical exit flow from the historical entry flow. The quotient obtained by dividing the actual number of people in the visitor area by the area of ​​the visitor area is the average number of people per unit in the visitor area. The preset number of people per unit is the threshold used to determine whether congestion is present.

[0046] By comparing the average number of people per unit in each visitor area with a preset number of people per unit, we determine whether that visitor area is congested. If the average number of people per unit is less than the preset number of people per unit, there is no potential congestion in that visitor area. If the average number of people per unit is not less than the preset number of people per unit, there is potential congestion in that visitor area. This low-cost crowd flow information allows us to directly determine whether some visitor areas are potentially congested. Furthermore, we can indirectly determine whether the remaining visitor areas are potentially congested using low-cost stored data and low-computation methods. This allows us to determine whether all visitor areas are potentially congested, providing the information foundation for further determining whether a visitor area is congested.

[0047] Step S300: If so, obtain the tourist distribution in the target tourist area with potential congestion, determine the congestion information of the target tourist area based on the tourist distribution, and draw the congestion information in the target tourist area in the three-dimensional model of the scenic area.

[0048] When it is determined that there is potential congestion in the tourist area, the tourist area is marked as a target tourist area. The distribution of tourists in the target tourist area can be further obtained. Then, based on the tourist distribution, the congestion information of the target tourist area can be determined. The congestion situation of the target tourist area can be obtained. Finally, the congestion information is plotted in the corresponding target tourist area in the three-dimensional model of the scenic area, and a three-dimensional visualization method is used to display the congestion warning. Among them, the incoming crowd flow information includes the incoming crowd flow speed, and the target tourist area is one of the road target tourist area and the platform target tourist area. Obtaining the tourist distribution in the target tourist area with potential congestion includes the following steps: Step S301: If the target tourist area is a platform target tourist area, a panoramic shooting instruction is generated to shoot a panoramic view of the target tourist area to obtain the distribution of tourists in the target tourist area.

[0049] Step S302: If the target tourist area is a road target tourist area, the distribution of intermediate tourists in other areas of the target tourist area except the preset range of the fork is photographed, and the distribution of tourists at the fork within the preset range of the fork is determined based on the flow speed of the crowd in the target tourist area, wherein the tourist distribution in the target tourist area includes the distribution of intermediate tourists and the distribution of tourists at the fork.

[0050] When the target tourist area is the platform target tourist area, it indicates that the target tourist area is relatively concentrated, that is, it is an approximately square or circular area, rather than an elongated area. In this case, a camera installed in the target tourist area can be used to take a single shot, or a drone can be used to take a shot at only one position to obtain a panoramic image of the target tourist area. Then, non-tourists in the panoramic image are removed, and the panoramic image after removal is resized to the target tourist area, thereby obtaining the distribution of tourists in the target tourist area. Since the platform target tourist area is an approximately square or circular area with many forks, the distribution of tourists in the target tourist area can be quickly obtained by using only one camera, thereby improving efficiency.

[0051] When the target tourist area is a road target tourist area, it indicates that the target tourist area is relatively discrete and elongated. In this case, if the above-mentioned method for determining the platform target tourist area is used to determine the distribution of tourists within the road target tourist area, it will require an increase in the number of camera devices or the number of locations where drones need to operate, thereby increasing the energy consumption of the equipment. To efficiently and energy-efficiently determine the distribution of tourists within the road target tourist area, the road target tourist area is divided into three parts: the fork area corresponding to the preset fork range at each fork, and the intermediate area excluding the fork area.

[0052] For the fork area, since the crowd flow information at the fork has been obtained, the crowd flow speed in the obtained crowd flow information is averaged to obtain the average crowd flow speed of the fork area, and the obtained average crowd flow speed is substituted into the relationship between the preset crowd flow speed and the unit number of people to obtain the unit number of people at the fork area. Then, the fork tourist distribution of the fork area is randomly generated according to the obtained unit number of people at the fork.

[0053] For the middle area, since the fork area is removed, the middle area is relatively concentrated. In this case, the above-mentioned step S301 can be used to obtain the tourist distribution in the middle area, which will not be described in detail here. Finally, the obtained fork tourist distribution and the middle tourist distribution are combined to form the tourist distribution in the target tourist area.

[0054] After obtaining the tourist distribution within the target tourist area, it is necessary to determine the congestion information for the target tourist area based on the tourist distribution. Determining the congestion information for the target tourist area based on the tourist distribution includes determining the number of people per area within the target tourist area based on the tourist distribution, substituting the number of people per area into a preset number-and-color comparison relationship, and obtaining sub-congestion information corresponding to the number of people per area. The congestion information for the target tourist area includes each sub-congestion information within the target area.

[0055] Specifically, the obtained tourist distribution is divided into several unit areas, and then the number of people in each unit area is read to obtain the regional unit number of people in the target tourist area. Then, the regional unit number of people in each unit area is substituted into the preset number and color comparison relationship to obtain the sub-congestion information corresponding to the regional unit number of people. Among them, the congestion information of the target tourist area includes each sub-congestion information in the target area, and the sub-congestion information and congestion information are specifically a color used to represent the number of people. In this way, by using a color for each unit area in the tourist area to represent the number of people in the unit area, that is, the congestion information, more detailed congestion information in the tourist area can be obtained, making the congestion warning more detailed. Finally, by drawing the congestion information in the target tourist area in the three-dimensional model of the scenic area, it is convenient to present the congestion situation of the tourist area in a more targeted way through three-dimensional visualization.

[0056] Step S400: If it does not exist, the preset color is drawn in the tourist area in the three-dimensional model of the scenic area.

[0057] When it is determined that there is no potential congestion in the tourist area, it indicates that the tourist area is not congested. In this case, a preset color can be drawn in the tourist area in the 3D model of the scenic area to illustrate the congestion situation in this part of the tourist area through 3D visualization. The drawing of the preset color in the tourist area in the 3D model of the scenic area includes the following steps: Step S401 , respectively obtaining historical crowd flow information and area of ​​each tourist area, determining the actual number of people in the tourist area based on the historical crowd flow information, and determining the average number of people per unit based on the actual number of people and area.

[0058] Step S402: determine the ratio of the average number of people per unit to the preset number of people per unit, and substitute the ratio into the preset ratio and color correspondence to obtain the preset color corresponding to the visitor area.

[0059] Step S403: Draw the preset color in the tourist area in the three-dimensional model of the scenic area.

[0060] The historical visitor flow information and area of ​​a visitor area can be obtained by viewing the information stored on the processing control terminal. Historical visitor flow information includes historical entry and exit flows. For a visitor area, all historical entry flows are summed to obtain the historical total entry flow, and all historical exit flows are summed to obtain the historical total exit flow. Finally, the value obtained by subtracting the historical total exit flow from the historical total entry flow is the actual number of people in the visitor area. The quotient obtained by dividing the actual number of people in the visitor area by the area of ​​the visitor area is the average number of people per unit in the visitor area.

[0061] Next, the average number of people per unit is divided by the preset number of people per unit to obtain a ratio. This ratio is then substituted into the preset ratio and color correspondence to obtain the preset color corresponding to the tourist area. Finally, the obtained preset color is drawn in the tourist area in the three-dimensional model of the scenic area. The preset number of people per unit represents the number of people per unit used to distinguish whether there is congestion. The preset ratio and color correspondence are pre-fitted based on historical information. The larger the ratio, the more tourists there are per unit area in the tourist area. In this way, by further combining the number of people per unit area in the tourist area without potential congestion to determine the color that the tourist area should be drawn, the non-congested situation of the tourist area can be more accurately indicated.

[0062] Step S500: issuing a congestion warning based on the drawn three-dimensional model of the scenic area.

[0063] After each tourist area in the three-dimensional model of the scenic area is drawn with a color, the drawn three-dimensional model of the scenic area is obtained. Then, the three-dimensional space position where the color corresponding to the congestion is located is marked as the congestion position through the drawn three-dimensional model of the scenic area, and the congestion position or the drawn three-dimensional model of the scenic area is sent to the tourists in the scenic area, so as to realize high-accuracy scenic area congestion warning, so that tourists can know the congestion situation of the scenic area and complete the three-dimensional visual congestion warning of the scenic area with high accuracy.

[0064] The present application also provides a scenic spot diversion and guidance method, which uses the above-mentioned scenic spot three-dimensional visualization congestion warning method to determine whether there is congestion in the scenic spot. Figure 3 This is a block diagram of a scenic area diversion and guidance method provided by this application. Figure 3 As shown, a scenic spot diversion and guidance method includes the following steps: Step S500: When it is determined that the scenic spot is congested, a non-congested tourist area and a congested area are determined from the drawn three-dimensional model of the scenic spot.

[0065] Step S600: determine several non-congested tourist areas close to each congested area from all non-congested tourist areas, and send all the non-congested tourist areas close to the diversion to tourists in the congested area to complete the scenic area diversion guidance.

[0066] Specifically, when determining that a scenic spot is congested, the non-congested tourist area and the congested tourist area, as well as the position corresponding to the non-congested tourist area and the position corresponding to the congested tourist area, can be determined by looking at the colors in the three-dimensional model of the scenic spot. Subsequently, based on the position corresponding to the non-congested tourist area and the position corresponding to the congested tourist area, several non-congested tourist areas that are relatively close to each congested area are selected, and the selected several non-congested tourist areas are determined as the diversion non-congested tourist areas corresponding to the congested area. Among them, relatively close specifically refers to the downstream area that has a shorter distance to travel from the congested area to the diversion non-congested tourist area and belongs to the congested area. The downstream area specifically refers to the area that is closer to the exit direction than the congested area. Finally, all the diversion non-congested tourist areas corresponding to this congested area are sent to all tourists in this congested area, thereby completing the scenic spot diversion guidance. By providing visitors in congested areas with several alternative, non-congested areas, they can make their own choices based on their preferences. Furthermore, by selectively sending the non-congested areas close to the diversion route to those in the corresponding congested area, visitors can be diverted and guided while also reducing the likelihood of them visiting duplicate areas, thus improving their experience. Furthermore, by relying on a three-dimensional visual congestion warning method for scenic area diversion guidance, the desired area can be three-dimensionalized, improving the accuracy of the scenic area location and, consequently, the accuracy of diversion guidance.

[0067] Figure 4 This is a connection diagram of a three-dimensional visual congestion warning system for scenic spots provided by the embodiment of this application. Figure 4 As shown, a three-dimensional visual congestion warning system for scenic spots includes: a modeling module, a processing module, a visualization module and a congestion warning module.

[0068] The modeling module is used to obtain the location information of the scenic area and build a three-dimensional model of the scenic area based on this location information. The processing module is used to determine the tourist areas within the scenic area from the three-dimensional scenic area model, obtain the flow of people at the ports of each tourist area, and determine whether there is potential congestion in each tourist area based on this flow of people. The visualization module is used to obtain the distribution of tourists in the target tourist area with potential congestion, if there is, and determine the congestion information of the target tourist area based on the tourist distribution. The congestion information is then plotted in the target tourist area in the three-dimensional scenic area model. If there is no congestion, the pre-set color is plotted in the tourist area in the three-dimensional scenic area model. The congestion warning module issues a congestion warning based on the plotted three-dimensional scenic area model.

[0069] Figure 5 This is a connection diagram of a scenic area diversion and guidance system provided by this application. A scenic area diversion and guidance system uses the above-mentioned scenic area three-dimensional visualization congestion warning method to determine whether there is congestion in the scenic area. Figure 5As shown, a scenic spot diversion and guidance system includes: an acquisition module and a diversion and guidance module. The acquisition module is used to determine if a scenic spot is congested and, based on a rendered three-dimensional model of the scenic spot, identify non-congested tourist areas and congested areas. The diversion and guidance module is used to determine, from all non-congested tourist areas, a number of adjacent non-congested tourist diversion areas corresponding to each congested area, and transmit all adjacent non-congested tourist diversion areas to tourists in congested areas to complete scenic spot diversion and guidance.

[0070] The other functions performed by the above-mentioned modeling module, processing module, visualization module and congestion warning module, as well as the technical details of each function, are the same or similar to the corresponding features in the previously described three-dimensional visualization congestion warning method for a scenic spot, and the other functions performed by the above-mentioned acquisition module and diversion guidance module, as well as the technical details of each function, are the same or similar to the corresponding features in the previously described scenic spot diversion guidance method, so they will not be repeated here.

[0071] It should be understood that although the steps in the flowcharts of the accompanying drawings are shown in sequence as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps and they may be executed in other orders.

[0072] The above description is only part of the implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A three-dimensional visual congestion warning method for scenic spots, characterized by: The method comprises: Acquiring location information of the scenic area, and establishing a three-dimensional model of the scenic area based on the location information; Determining tourist areas included in the scenic area from the three-dimensional model of the scenic area, obtaining crowd flow information at the ports of each tourist area, and determining whether there is potential congestion in each tourist area based on the crowd flow information; If so, obtaining a distribution of tourists in a target tourist area with potential congestion, determining congestion information of the target tourist area based on the tourist distribution, and mapping the congestion information in the target tourist area in the three-dimensional model of the scenic area; If not, the preset color is drawn in the tourist area in the three-dimensional model of the scenic area; Congestion warning is issued based on the drawn three-dimensional model of the scenic area.

2. The method according to claim 1, characterized in that Determining the tourist area included in the scenic area from the three-dimensional model of the scenic area includes: Determining the forks included in the scenic area from the three-dimensional model of the scenic area, bringing each fork into the three-dimensional model of the scenic area to determine the area corresponding to the fork, and determining the three-dimensional coordinates of the center point of each area; The three-dimensional coordinates of all areas are plotted in a blank three-dimensional coordinate system to obtain the three-dimensional coordinates of several different tourist areas. The area corresponding to each three-dimensional coordinate of the tourist area is the tourist area included in the scenic area.

3. The method according to claim 2, characterized in that The crowd flow information includes information about incoming crowd flow and information about outgoing crowd flow, and judging whether there is potential congestion in each tourist area based on the crowd flow information includes: Determine whether the outgoing flow information corresponding to each tourist area is greater than the incoming flow information. If so, obtain a history mark of the tourist area. If the history mark indicates non-congestion, there is no potential congestion in the tourist area. If the historical mark is congestion, obtaining historical crowd flow information and area of ​​the tourist area, and determining whether there is potential congestion in the tourist area based on the historical crowd flow information and area; If not, obtaining a history mark of the tourist area; if the history mark indicates congestion, the tourist area has potential congestion; If the historical mark is non-congested, historical crowd flow information and area of ​​the tourist area are obtained, and whether there is potential congestion in the tourist area is determined based on the historical crowd flow information and area.

4. The method according to claim 3, characterized in that Determining whether there is potential congestion in the tourist area based on the historical crowd flow information and the area includes: Determine the actual number of people in the tourist area based on the historical crowd flow information, and determine the average number of people per unit based on the actual number of people and the area of ​​the area; If the average number of people per unit is less than the preset number of people per unit, there is no potential congestion in the visitor area; If the average number of people per unit is not less than the preset number of people per unit, there is potential congestion in the tourist area.

5. The method according to claim 3, characterized in that The incoming crowd flow information includes the incoming crowd flow speed, the target tourist area is one of a road target tourist area and a platform target tourist area, and obtaining the tourist distribution in the target tourist area with potential congestion includes: If the target tourist area is a platform target tourist area, a panoramic shooting instruction is generated to shoot a panoramic view of the target tourist area to obtain the distribution of tourists in the target tourist area; If the target tourist area is a road target tourist area, the intermediate tourist distribution in other areas of the target tourist area except the preset range of the fork is photographed, and the fork tourist distribution within the preset range of the fork is determined based on the flow speed of the target tourist area, wherein the tourist distribution in the target tourist area includes the intermediate tourist distribution and the fork tourist distribution.

6. The method according to claim 1, characterized in that Determining the congestion information of the tourist area based on the tourist distribution includes: The number of people per unit area in the target tourist area is determined based on the tourist distribution, and each number of people per unit area is substituted into the preset number-and-color comparison relationship to obtain sub-congestion information corresponding to the number of people per unit area, wherein the congestion information of the target tourist area includes each sub-congestion information in the target area.

7. The method according to claim 1, characterized in that The step of drawing the preset color in the tourist area in the three-dimensional model of the scenic area includes: Obtaining historical crowd flow information and area of ​​each tourist area respectively, determining the actual number of people in the tourist area based on the historical crowd flow information, and determining the average number of people per unit based on the actual number of people and the area; Determine the ratio of the average number of people per unit to the preset number of people per unit, and substitute the ratio into the preset ratio and color correspondence to obtain the preset color corresponding to the visitor area; The preset color is drawn in the tourist area in the three-dimensional model of the scenic area.

8. A scenic area diversion and guidance method, characterized in that: Determining whether a scenic spot is congested using the three-dimensional visualization congestion warning method for a scenic spot as described in any one of claims 1 to 7, the method comprising: When it is determined that there is congestion in the scenic area, the non-congested tourist area and the congested area are determined from the drawn three-dimensional model of the scenic area; From all non-congested tourist areas, several non-congested tourist areas close to the diversion area corresponding to each congested area are determined respectively, and all the non-congested tourist areas close to the diversion area are sent to the tourists in the congested area to complete the scenic area diversion guidance.

9. A three-dimensional visual congestion warning system for scenic spots, characterized by: The system includes: a modeling module, a processing module, a visualization module and a congestion warning module; wherein, The modeling module is used to obtain the location information of the scenic area and establish a three-dimensional model of the scenic area based on the location information; The processing module is used to determine the tourist areas included in the scenic area from the three-dimensional model of the scenic area, obtain the passenger flow information at the port of each tourist area, and determine whether there is potential congestion in each tourist area based on the passenger flow information; The visualization module is used to obtain the distribution of tourists in the target tourist area with potential congestion, if any, determine the congestion information of the target tourist area based on the tourist distribution, and draw the congestion information in the target tourist area in the three-dimensional model of the scenic area; If not, the preset color is drawn in the tourist area in the three-dimensional model of the scenic area; The congestion warning module performs congestion warning based on the drawn three-dimensional model of the scenic area.

10. A scenic area diversion and guidance system, characterized in that: Using the three-dimensional visualization congestion warning method for scenic spots as described in any one of claims 1 to 7 to determine whether there is congestion in the scenic spot, the system includes an acquisition module and a diversion and guidance module; wherein, The acquisition module is used to determine the non-congested tourist area and the congested area from the drawn three-dimensional model of the scenic area when it is determined that there is congestion in the scenic area; The diversion guidance module is used to determine several non-congested tourist areas close to the diversion corresponding to each congested area from all non-congested tourist areas, and send all the non-congested tourist areas close to the diversion to tourists in the congested area to complete the scenic area diversion guidance.

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