Crowd collection and distribution trend simulation method and device

Abstract

The invention relates to the technical field of site design, and provides a crowd collection and distribution trend simulation method and device. The method comprises the following steps: determining a site model of a public gathering site; the site model comprises a plurality of grid regions within the range of the public gathering site; determining site function attributes of each grid region in the site model; calculating the crowd collection and distribution trend degree of each grid region based on the influence of the site function attribute on the crowd collection and distribution; the crowd collection and distribution trend degrees of all the grid areas are integrated, and the comprehensive crowd collection and distribution trend degree of the public gathering place is obtained; and outputting and displaying the comprehensive crowd collection and distribution trend degree. According to the method and the device, the influence of the site function attributes corresponding to all the grid areas on crowd collection and distribution can be fully or partially considered, so that the comprehensive crowd collection and distribution trend degree of the public gathering site under the corresponding site function attributes is obtained, and the simulation accuracy of the crowd collection and distribution trend degree in the site can be effectively improved; and site design is effectively guided.

Description

Technical Field

[0001] The present application relates to the technical field of site design, and in particular to a method and device for simulating crowd dispersion tendency. Background Art

[0002] In architectural and site design, predicting crowd behavior for design solutions is a very important and common design requirement. In this regard, many research technologies have made different attempts over the years. In early studies, theoretical research represented by environmental behavior focused on the mechanism of the impact of the environment on human behavior, and could not directly generate auxiliary design tools. In recent years, crowd flow simulation algorithms and related tools with digital technologies such as multi-agent technology, mathematical modeling methods, and artificial intelligence learning as the core have developed rapidly.

[0003] However, all of the above methods need to simulate specific and purposeful crowd flow behaviors, such as fire evacuation, performance flow lines, etc. In some venue designs, a large number of people staying do not have clear flow motivations, which makes the above methods unable to accurately simulate the crowd flow behavior in the venue, and thus unable to accurately simulate the degree of crowd dispersion tendency in the venue to guide venue design. Summary of the invention

[0004] The embodiments of the present application provide a method and device for simulating crowd dispersion tendency, which are used to solve the technical problem that in some venue designs, a large number of people staying do not have a clear motivation to move, resulting in the inability of existing methods to accurately simulate the degree of crowd dispersion tendency in the venue to guide venue design.

[0005] In a first aspect, an embodiment of the present application provides a method for simulating crowd dispersion tendency, which is used in a public gathering place, comprising: Determine a site model of the public gathering place; the site model includes a plurality of grid areas within the scope of the public gathering place; Determining site functional attributes of each grid area in the site model; Based on the influence of the functional attributes of the site on the crowd dispersion distribution, the crowd dispersion tendency degree of each grid area is calculated; The crowd dispersion tendency degree of each grid area is integrated to obtain the comprehensive crowd dispersion tendency degree of the public gathering place; The comprehensive crowd dispersion tendency degree is output and displayed.

[0006] In one embodiment, determining the site model of the public gathering place includes: Acquire a first parameter for defining an area range of the public gathering place; Acquire a second parameter for dividing the area into grids; Based on the first parameter and the second parameter, the plan view corresponding to the public gathering place is divided into a plurality of grid areas to obtain the site model.

[0007] In one embodiment, based on the influence of any site functional attribute on crowd dispersion distribution, the crowd dispersion tendency degree of each grid area is calculated, including: Determine a first influence and a second influence of the site function attribute on the crowd dispersion distribution; the first influence is the influence of the site function attribute on the crowd dispersion distribution of the grid area to which it belongs, and the second influence is the influence of the site function attribute on the crowd dispersion distribution of other grid areas outside the grid area to which it belongs; The plurality of grid areas are traversed, and for each grid area, the first influence and the second influence on the grid area are comprehensively calculated to obtain the crowd dispersion tendency degree of each grid area under the functional attributes of the site.

[0008] In one embodiment, the first impact and the second impact are determined based on the following formula: ; in, The site function attribute is the first type of site function attribute The grid area For any grid area The first type of site functional attribute is a site functional attribute that only affects the crowd dispersion distribution of the grid area to which it belongs, and does not affect the crowd dispersion distribution of other grid areas outside the grid area to which it belongs. is the measurement value of the first impact, and 0 is the measurement value of the second impact.

[0009] In one embodiment, the first impact and the second impact are determined based on the following formula: ; in, The site function attribute is the second type of site function attribute The grid area For any grid area The second type of site function attribute is a site function attribute that does not affect the crowd dispersion distribution of the grid area to which it belongs, but only affects the crowd dispersion distribution of other grid areas outside the grid area to which it belongs. 0 is the measurement value of the first impact. is a measure of the second impact, and is the influence coefficient.

[0010] In one embodiment, the first impact and the second impact are determined based on the following formula: ; in, The site function attribute is the third type of site function attribute The grid area For any grid area The third type of venue function attribute is a venue function attribute that affects both the crowd dispersion distribution of the grid area to which it belongs and the crowd dispersion distribution of other grid areas outside the grid area to which it belongs. 1 is the measurement value of the first influence. is a measure of the second impact, and is the influence coefficient.

[0011] In one embodiment, any grid area has a site function attribute. The degree of crowd dispersion tendency under is determined based on the following method: All site functional attributes are calculated based on the following formula: The grid area of ​​any grid area The influence of crowd dispersion distribution is obtained by exist The degree of crowd dispersion tendency under the influence : ; in, The site function attribute is the first type of site function attribute The grid area For any grid area The influence function of the crowd dispersion distribution is The site function attribute is the second type of site function attribute The grid area For any grid area The influence function of the crowd dispersion distribution is The site function attribute is the third type of site function attribute The grid area For any grid area The influence function that affects the dispersed distribution of the crowd.

[0012] In one embodiment, the comprehensive crowd dispersion tendency degree of each grid area is integrated to obtain the comprehensive crowd dispersion tendency degree of the public gathering place, including: The area of ​​any grid is calculated based on the following formula The comprehensive crowd dispersion tendency degree under the influence of the functional attributes of each venue is obtained to obtain the comprehensive crowd dispersion tendency degree of the public gathering place under the coupling influence of the functional attributes of each venue : .

[0013] In a second aspect, an embodiment of the present application provides a crowd dispersion trend simulation device for use in a public gathering place, comprising: A site model determination module is used to: determine a site model of the public gathering place; the site model includes a plurality of grid areas within the scope of the public gathering place; A site function attribute determination module is used to: determine the site function attribute of each grid area in the site model; A grid area concentration and dispersion tendency degree simulation module is used to calculate the crowd dispersion tendency degree of each grid area based on the influence of the site functional attributes on the crowd dispersion distribution; The gathering place gathering and dispersing tendency degree simulation module is used to: synthesize the crowd dispersing tendency degree of each grid area to obtain the comprehensive crowd dispersing tendency degree of the public gathering place; The gathering and dispersion tendency degree display module is used to: output and display the comprehensive crowd dispersion tendency degree.

[0014] In a third aspect, an embodiment of the present application provides an electronic device, including a processor and a memory storing a computer program, wherein when the processor executes the program, the steps of the crowd dispersion trend simulation calculation method described in the first aspect are implemented.

[0015] The crowd dispersion tendency simulation method and device provided in the present application determine the site model of a public gathering place, the site model includes multiple grid areas within the scope of the public gathering place, determine the site function attributes of each grid area in the site model, calculate the crowd dispersion tendency degree of each grid area based on the influence of the site function attributes on the crowd dispersion distribution, integrate the crowd dispersion tendency degree of each grid area, obtain the comprehensive crowd dispersion tendency degree of the public gathering place, and output and display the comprehensive crowd dispersion tendency degree. Since different site function attributes of each area in the site correspond to different comfort and fun, which is often an important factor affecting the flow behavior of the crowd, therefore, when simulating the flow behavior of the crowd, the present application takes into account all or part of the influence of the site function attributes corresponding to all grid areas on the crowd dispersion distribution, thereby obtaining the comprehensive crowd dispersion tendency degree of the public gathering place, which can effectively improve the simulation accuracy of the crowd dispersion tendency degree in the site and effectively guide the site design. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 This is one of the flow charts of the crowd dispersion trend simulation method provided in the embodiment of the present application; Figure 2 This is the second flow chart of the crowd dispersion trend simulation method provided in the embodiment of the present application; Figure 3 This is the third flow chart of the crowd dispersion trend simulation method provided in the embodiment of the present application; Figure 4 is a parameter setting diagram of a crowd dispersion trend simulation method provided in an embodiment of the present application; Figure 5 It is a site function attribute setting diagram of the crowd dispersion tendency simulation method provided in the embodiment of the present application; Figure 6 It is a diagram of a site function attribute selection interface when displaying results in a crowd dispersion trend simulation method provided in an embodiment of the present application; Figure 7 It is a crowd dispersion tendency degree diagram under the influence of the exit attribute of the crowd dispersion tendency simulation method provided in the embodiment of the present application; Figure 8 is a crowd dispersion tendency degree diagram under the influence of low wall properties of the crowd dispersion tendency simulation method provided in an embodiment of the present application; Fig. 9 is a crowd dispersion tendency degree diagram under the influence of step properties of the crowd dispersion tendency simulation method provided in an embodiment of the present application; Fig.10 is a crowd dispersion tendency degree diagram under the influence of platform attributes of the crowd dispersion tendency simulation method provided in an embodiment of the present application; Fig.11 is a crowd dispersion tendency degree diagram under the influence of the large road attributes of the crowd dispersion tendency simulation method provided in the embodiment of the present application; Fig.12 is a crowd dispersion tendency degree diagram under the influence of small road attributes of the crowd dispersion tendency simulation method provided in an embodiment of the present application; Fig.13 It is one of the comprehensive crowd dispersion tendency degree diagrams under the influence of the coupling of multiple site functional attributes of the crowd dispersion tendency simulation method provided in the embodiment of the present application; Fig.14This is the second diagram of the comprehensive crowd dispersion tendency degree under the influence of the coupling of multiple site functional attributes of the crowd dispersion tendency simulation method provided in the embodiment of the present application; Fig.15 is a schematic diagram of the structure of a crowd dispersion tendency simulation device provided in an embodiment of the present application; Fig.16 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0019] It should be noted that in the description of the embodiments of the present application, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the process, method, article or device including the elements. The orientation or position relationship indicated by the terms "upper", "lower" and the like is based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application. Unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or it can be a connection between the two elements. For those skilled in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0020] The terms "first", "second", etc. in this application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and / or" represents at least one of the connected objects, and the character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0021] In the present application, a public gathering place may be an indoor place or an outdoor place, which is not limited here. The present application method is particularly suitable for sports venue design. Therefore, the public gathering place in the following embodiments may be any sports venue.

[0022] Figure 1 This is one of the flow charts of the crowd dispersion trend simulation method provided in the embodiment of the present application. Figure 1 The present application embodiment provides a crowd dispersion trend simulation method for public gathering places, which may include: 101. Determine the site model of public gathering places; The site model includes multiple grid areas within the confines of the public gathering place; 102. Determine the site functional attributes of each grid area in the site model; 103. Based on the impact of site functional attributes on crowd dispersion distribution, calculate the crowd dispersion tendency degree of each grid area; 104. The crowd dispersion tendency degree of each grid area is synthesized to obtain the comprehensive crowd dispersion tendency degree of public gathering places; 105. Output and display the comprehensive crowd dispersion tendency degree.

[0023] In step 102, the site functional attributes may include trees, uncovered flat land, gentle slopes, steep slopes, steep slopes, high walls, low walls, platforms, flat land at the border, exits (the same applies to entrances), steps, large roads and small roads, where large roads are main roads and small roads are non-main roads. Each grid area corresponds to one of the above site functional attributes. For any grid area, its crowd dispersion distribution is affected by its own site functional attributes and the site functional attributes of other grid areas.

[0024] The crowd dispersion tendency simulation method provided in this embodiment determines a site model of a public gathering place, the site model includes multiple grid areas within the scope of the public gathering place, determines the site function attributes of each grid area in the site model, calculates the crowd dispersion tendency degree of each grid area based on the influence of the site function attributes on the crowd dispersion distribution, integrates the crowd dispersion tendency degree of each grid area, obtains the comprehensive crowd dispersion tendency degree of the public gathering place, and outputs and displays the comprehensive crowd dispersion tendency degree. Since different site function attributes of each area in the site correspond to different comfort and interest, which is often an important factor affecting the flow behavior of the crowd, therefore, when simulating the flow behavior of the crowd, this embodiment takes into account all or part of the influence of the site function attributes corresponding to all grid areas on the crowd dispersion distribution, thereby obtaining the comprehensive crowd dispersion tendency degree of the public gathering place, which can effectively improve the simulation accuracy of the crowd dispersion tendency degree in the site and effectively guide the site design.

[0025] In one embodiment, determining a site model of a public gathering place includes: A first parameter for defining the area range of the public gathering place and a second parameter for gridding the area range are obtained. Based on the first parameter and the second parameter, the plan corresponding to the public gathering place is divided into multiple grid areas to obtain a site model.

[0026] The first parameter may be the length and width of the area, and the second parameter may be the number of preset grid rows and columns, or the preset grid length and width. The site model may be obtained in the following two ways: In the first method, you can create a grid in the plan view according to the preset number of grid rows. , and preset number of grid columns , dividing the plane into grids to obtain the site model.

[0027] In the second method, you can set the grid width according to the preset and the width of the region , indirectly get the preset number of grid rows , according to the preset grid length and the length of the region , indirectly get the preset grid column number , thus dividing the plane graph into grids to obtain the site model.

[0028] This embodiment can provide designers with more diverse grid division methods through the first parameter for defining the area range of the public gathering place and the second parameter for gridding the area range, thereby improving the flexibility of site model design. The floor plan corresponding to the public gathering place is divided into multiple grid areas, and the functional attributes of the site can be analyzed in detail based on the grid areas, thereby improving the accuracy of subsequent simulations.

[0029] Figure 2 This is the second flow chart of the crowd dispersion trend simulation method provided in the embodiment of the present application. Figure 2 In one embodiment, based on the influence of any site functional attribute on crowd dispersion distribution, calculating the crowd dispersion tendency degree of each grid area may include: 201. Determine the primary and secondary impacts of site functional attributes on crowd dispersion and distribution; The first impact is the impact of the site's functional attributes on the crowd dispersion distribution of the grid area to which it belongs, and the second impact is the impact of the site's functional attributes on the crowd dispersion distribution of other grid areas outside the grid area to which it belongs; 202. Traverse multiple grid areas, and for each grid area, comprehensively calculate the first impact and the second impact on the grid area to obtain the crowd dispersion tendency degree of each grid area under the functional attributes of the site.

[0030] In step 201, the first impact and the second impact of any site functional attribute on crowd dispersion distribution can be measured using corresponding metric values ​​respectively.

[0031] In step 202, it is assumed that the floor plan corresponding to the public gathering place is divided into OK List the grid areas, take the site function attribute as the tree attribute as an example, and traverse all OK List the grid areas, calculate the first influence metric value and the second influence metric value for each grid area, and then calculate the sum of the first influence metric value and the second influence metric value corresponding to each grid area to obtain the crowd dispersion tendency degree of each grid area under the tree attributes.

[0032] It should be noted that if the grid area itself is not a tree attribute, then this traversal only needs to calculate the second impact metric value of the grid area, and there is no need to calculate the first impact metric value of the grid area; if the grid area itself is also a tree attribute, then this traversal not only needs to calculate the second impact metric value of the grid area, but also needs to calculate the first impact metric value of the grid area.

[0033] Similarly, the degree of crowd dispersion tendency of each grid area under other site functional attributes can be calculated, thereby obtaining the degree of crowd dispersion tendency of each grid area under each site functional attribute.

[0034] This embodiment uses the influence of each venue functional attribute on the crowd dispersion distribution of the grid area to which it belongs, as well as the influence on the crowd dispersion distribution of other grid areas outside the grid area to which it belongs, to calculate the crowd dispersion tendency degree of each grid area under each venue functional attribute. It can comprehensively measure the internal and external influences of each venue functional attribute, and obtain the accurate crowd dispersion tendency degree of each grid area under the influence of a single venue functional attribute.

[0035] In one embodiment, the first impact and the second impact can be determined based on formulas corresponding to different types of site functional attributes, as follows: The functional attributes of the site can be divided into three categories. The first category is trees, uncovered flat land, flat land at the boundary, gentle slopes, steep slopes, etc. This type of site functional attributes only affects the crowd dispersion distribution of the grid area to which it belongs, and has no effect on the crowd dispersion distribution of other grid areas outside the grid area to which it belongs; the second category is high walls, low walls, platforms, exits, etc. This type of site functional attributes does not affect the crowd dispersion distribution of the grid area to which it belongs, but only affects the crowd dispersion distribution of other grid areas outside the grid area to which it belongs; the third category is steps, large roads, small roads, etc. This type of site functional attributes affects both the crowd dispersion distribution of the grid area to which it belongs and the crowd dispersion distribution of other grid areas outside the grid area to which it belongs.

[0036] 1. For the first type of site functional attributes, the first impact and the second impact can be determined based on the following formula: ; in, The site function attribute is the first type of site function attribute The grid area For any grid area The first type of site functional attribute is the site functional attribute that only affects the crowd dispersion distribution of the grid area to which it belongs, and does not affect the crowd dispersion distribution of other grid areas outside the grid area to which it belongs. is the measure of the first impact, and 0 is the measure of the second impact.

[0037] when When , the functional attribute of the site is trees; when When , it represents that the site function attribute is uncovered flat land; when When , it represents that the site functional attribute is a gentle slope; when When , it means the site function attribute is steep slope; when When , it represents that the site functional attribute is steep slope; when , it represents that the functional attribute of the site is the flat land at the boundary.

[0038] The above formula indicates that the measurement value of the impact of the functional attributes of the first type of site on the crowd dispersion distribution of the grid area to which it belongs is , the measure value of the impact on the crowd dispersion distribution in other grid areas outside the grid area to which it belongs is 0.

[0039] 2. For the second type of site functional attributes, the first impact and the second impact can be determined based on the following formula: , ; in, The site function attribute is the second type of site function attribute The grid area For any grid area The second type of site function attribute is the site function attribute that does not affect the crowd dispersion distribution of the grid area to which it belongs, but only affects the crowd dispersion distribution of other grid areas outside the grid area to which it belongs. 0 is the measurement value of the first impact. is a measure of the second impact, and is the influence coefficient.

[0040] when When , the functional attribute of the site is a high wall; when When , the functional attribute of the site is low wall; when When , the functional attribute of the site is platform; when , it represents that the functional attribute of the site is exit.

[0041] The above formula indicates that the measurement value of the impact of the second type of site functional attributes on the crowd dispersion distribution of the grid area to which it belongs is , the metric value of the impact on the crowd dispersion distribution of other grid areas outside the grid area to which it belongs is .

[0042] 3. For the third type of site functional attributes, the first impact and the second impact can be determined based on the following formula: , ; in, The site function attribute is the third type of site function attribute The grid area For any grid area The third type of site function attribute is the site function attribute that affects both the crowd dispersion distribution of the grid area to which it belongs and the crowd dispersion distribution of other grid areas outside the grid area to which it belongs. 1 is the measurement value of the first influence. is a measure of the second impact, and is the influence coefficient.

[0043] when When , it represents that the site function attribute is steps; when When , it represents that the site function attribute is a road; when , it represents that the functional attribute of the site is a small road.

[0044] The above formula indicates that the measure of the influence of the third type of site functional attributes on the crowd dispersion distribution of the grid area to which it belongs is , the metric value of the impact on the crowd dispersion distribution of other grid areas outside the grid area to which it belongs is .

[0045] It should be noted that the influence functions of the functional attributes of the above-mentioned various venues on the crowd dispersion distribution are determined by fitting the row and column positions of the grid areas to which the functional attributes of each venue belong and their influence on the crowd dispersion distribution of all grid areas including itself, using the crowd dispersion distribution data of multiple public gathering places, such as multiple stadiums, at different time periods.

[0046] The crowd dispersion distribution data of the above multiple sports venues at different times are obtained by collecting and investigating crowd dispersion distribution data of sports venues such as sports centers, sports parks, sports plazas, etc. of different scales, different locations, and different functions at different times. These crowd dispersion distribution data are used for statistical analysis to construct crowd dispersion distribution fitting functions corresponding to the functional attributes of different types of venues. Through a large number of expert visits and case comparisons, linear or nonlinear function correction methods are used to correct and fine-tune each crowd dispersion distribution fitting function, and finally the influence function of different venue functional attributes on crowd dispersion distribution is obtained. Although the collected and investigated data are mostly from sports venues, the venue functional attributes in this algorithm are set based on general public places. Therefore, this algorithm is logically applicable to any public place. When simulating a spatial place with a specific function, the algorithm model can be fine-tuned in combination with the specific collected and investigated data.

[0047] According to the influence functions of the above three types of venue functional attributes on crowd dispersion distribution, it can be seen that the influence of the first type of venue functional attributes on the crowd dispersion distribution of all grid areas is independent of the row and column position of the grid area to which it belongs; the influence of the second and third types of venue functional attributes on the crowd dispersion distribution of the grid area to which they belong is independent of the row and column position of the grid area to which they belong, but the influence of the second and third types of venue functional attributes on the crowd dispersion distribution of other grid areas outside the grid area to which they belong is related to the row and column position of the grid area to which they belong.

[0048] Furthermore, after fitting, the relevant parameter values ​​in the above three formulas are as follows: Table 1 Table of parameters of the influence function on crowd dispersion distribution

[0049] This embodiment divides the venue functional attributes into three categories, and obtains the influence function of each type of venue functional attributes on the crowd dispersion distribution based on a large amount of data fitting. It can efficiently and accurately calculate the influence of any venue functional attribute in a public gathering place, such as a sports venue, on the crowd dispersion distribution of its own grid area and the crowd dispersion distribution of other grid areas outside the grid area to which it belongs. It is helpful to subsequently efficiently and accurately obtain the crowd dispersion tendency degree of the sports venue under the influence of a single venue functional attribute and the comprehensive crowd dispersion tendency degree of the sports venue under the coupled influence of multiple venue functional attributes.

[0050] In one embodiment, any grid area has a site function attribute. The degree of crowd dispersion tendency under the above situation can be determined based on the following methods: All site functional attributes are calculated based on the following formula: The grid area of ​​any grid area The influence of crowd dispersion distribution is obtained by exist The degree of crowd dispersion tendency under the influence : ; Furthermore, the crowd dispersion tendency degree of each grid area is integrated to obtain the crowd dispersion tendency degree of the public gathering place, which may include: Calculate any grid area based on the following formula The comprehensive crowd dispersion tendency degree under the influence of the functional attributes of each venue is obtained, and the comprehensive crowd dispersion tendency degree of public gathering places under the influence of the coupling of the functional attributes of each venue is obtained. : .

[0051] This embodiment integrates the influence of all grid areas belonging to a certain venue functional attribute on any grid area, and obtains the degree of crowd dispersion tendency of each grid area under the influence of a single venue functional attribute, that is, the degree of crowd dispersion tendency of a public gathering place under the influence of a single venue functional attribute. Then, the degree of crowd dispersion tendency of each grid area under the influence of multiple venue functional attributes is integrated to obtain the comprehensive degree of crowd dispersion tendency of each grid area under the influence of the coupling of multiple venue functional attributes, that is, the comprehensive degree of crowd dispersion tendency of a public gathering place under the influence of multiple venue functional attributes. This algorithm, which first performs a refined calculation of crowd dispersion distribution based on a single grid area and a single venue functional attribute, and then integrates the calculation results, can efficiently and accurately obtain the degree of crowd dispersion tendency of a public gathering place under the influence of a single venue functional attribute and the coupling of multiple venue functional attributes. In addition, the previous crowd flow simulation algorithms and related tools based on digital technologies such as multi-agent technology, mathematical modeling methods, and artificial intelligence learning often have application limitations and shortcomings when facing actual design work, which are specifically manifested as follows: 1. The crowd flow model based on multi-agent requires a lot of testing and parameter adjustment work, and the amount of calculation is huge. In actual operation, it will not meet the design requirements due to the long calculation time required; 2. The construction of mathematical models has high requirements for model completeness. When facing different site scenarios, complex processes are required to correct the mathematical model to ensure that crowd behavior can be effectively simulated in specific scenarios. This complex correction requires a large number of complex mathematical operations and is usually not directly connected with site designers, which limits the application of this method in the design process. 3. The realization of artificial intelligence models depends on a large number of data samples for model training. However, obtaining a large number of labeled samples is not only time-consuming, but also requires a lot of manpower costs, and is currently not suitable for the building or site design process.

[0052] This embodiment focuses on the site design of sports venues. By simulating the influence of various possible site functional attributes in sports venues on the regional crowd dispersion distribution, the crowd dispersion tendency degree of the sports venue under a single site functional attribute and multiple site functional attributes is obtained. It has the following advantages: 1. The design object is more targeted and more in line with the actual context of urban construction; 2. Comprehensively depict the impact of different venue functional attributes on crowd dispersion and distribution, expanding the content boundaries of previous technical solutions, so that this embodiment can effectively assist in sports venue design decisions; 3. The calculation logic is based on a large number of example statistics and expert demonstrations, which is more in line with the needs of the sports industry; 4. Although the algorithm function also relies on the collection, research, analysis and fitting of a large amount of data, the overall data volume has been significantly reduced compared with previous technical solutions; the algorithm function logic is concise and the execution efficiency is high. It does not require a lot of testing and parameter adjustment work, effectively reducing labor costs and time costs; the algorithm is easy to understand and is convenient for design practitioners who are not majoring in mathematics or computer science to update and modify.

[0053] Figure 3 This is the third flow chart of the crowd dispersion trend simulation method provided in the embodiment of the present application; Figure 3 In one embodiment, the process of a designer interacting with the design software to simulate the degree of crowd dispersion tendency in a sports venue is as follows: 1. Parameter setting: including setting the area range of the sports venue, setting the grid division parameters within the area, setting the total number of people within the area, setting the number of people that each grid can accommodate, and setting the number allocation method, such as Figure 4 As shown, the denser the grid division and the more people there are, the longer the calculation time is and the more accurate the calculation result is. 2. Site function attribute setting: Set the corresponding site function attributes for each grid according to the design needs. The program allows you to select the area by clicking the grid with the left mouse button, and assign the site function attributes in the menu bar on the right, such as Figure 5 As shown; 3. Simulation calculation: including identifying the site function attributes of each grid area, determining the influence function that affects the crowd dispersion distribution, traversing all grid areas and calculating the crowd dispersion tendency degree of each grid area under a single site function attribute and the crowd dispersion tendency degree of each grid area under the coupling influence of multiple site function attributes according to the above method, judging whether the identification traversal is completed, if so, the result can be displayed, if not, returning to the step of identifying the site function attributes of each grid area; 4. Result display: including selecting display parameters and displaying simulation results. You can select a single venue function attribute or multiple venue function attributes to make the software display the crowd dispersion tendency degree of the sports venue under the influence of a single venue function attribute or the comprehensive crowd dispersion tendency degree of the sports venue under the influence of multiple venue function attributes. The venue function attribute selection interface is as follows: Figure 6 As shown in the figure, the degree of crowd dispersion tendency in sports venues under the influence of a single venue functional attribute is as follows: Figures 7 to 12 As shown in Figure 2, the comprehensive crowd dispersion tendency of sports venues under the influence of multiple venue functional attributes is as follows: Figure 13 to Figure 14 It should be noted that Figures 7 to 14 The displayed results are all calculated based on the grid. The degree of crowd dispersion trend is the trend index in the figure. Figures 7 to 13 When Hide Grid is selected during display, Fig.14 The display grid is selected when the display is displayed; 5. Determine whether the design requirements are met. If so, the process ends. If not, modify the design and re-set the site function attributes so that the software can perform the next round of simulation calculations.

[0054] Using the design software, designers can generate a simplified site model based on their site design. Based on the input site model parameters and attributes, the software can calculate the degree of crowd dispersion tendency under the influence of a single site function attribute, as well as the comprehensive degree of crowd dispersion tendency under the influence of multiple site function attributes, thereby assisting designers in predicting, judging and modifying site design.

[0055] The following is a description of a crowd dispersal tendency simulation device provided in an embodiment of the present application. The crowd dispersal tendency simulation device described below and the crowd dispersal tendency simulation method described above can be referenced to each other.

[0056] Fig.15 Schematic diagram of the structure of the crowd dispersion trend simulation device provided in the embodiment of the present application. Fig.15 The embodiment of the present application provides a crowd dispersion tendency simulation device for use in public gathering places, which may include: The site model determination module 1501 is used to: determine the site model of the public gathering place; the site model includes a plurality of grid areas within the scope of the public gathering place; The site function attribute determination module 1502 is used to: determine the site function attribute of each grid area in the site model; The grid area concentration and dispersion tendency degree simulation module 1503 is used to calculate the crowd dispersion tendency degree of each grid area based on the influence of the site functional attributes on the crowd dispersion distribution; The gathering place gathering and dispersing tendency degree simulation module 1504 is used to: synthesize the crowd dispersing tendency degree of each grid area to obtain the comprehensive crowd dispersing tendency degree of the public gathering place; The gathering and dispersion tendency degree display module 1505 is used to output and display the comprehensive crowd dispersion tendency degree.

[0057] The crowd dispersion tendency simulation device provided in this embodiment determines a site model of a public gathering place, the site model includes multiple grid areas within the scope of the public gathering place, determines the site function attributes of each grid area in the site model, calculates the crowd dispersion tendency degree of each grid area based on the influence of the site function attributes on the crowd dispersion distribution, integrates the crowd dispersion tendency degree of each grid area, obtains the comprehensive crowd dispersion tendency degree of the public gathering place, and outputs and displays the comprehensive crowd dispersion tendency degree. Since different site function attributes of each area in the site correspond to different comfort and interest, which is often an important factor affecting the flow behavior of the crowd, therefore, when simulating the flow behavior of the crowd, this embodiment takes into account all or part of the influence of the site function attributes corresponding to all grid areas on the crowd dispersion distribution, thereby obtaining the comprehensive crowd dispersion tendency degree of the public gathering place, which can effectively improve the simulation accuracy of the crowd dispersion tendency degree in the site and effectively guide the site design.

[0058] In one embodiment, the site model determination module 1501 is specifically configured to: Acquire a first parameter for defining an area range of the public gathering place; Acquire a second parameter for dividing the area into grids; Based on the first parameter and the second parameter, the plan view corresponding to the public gathering place is divided into a plurality of grid areas to obtain the site model.

[0059] In one embodiment, the grid area concentration and distribution trend degree simulation module 1503 is specifically used to: Determine a first influence and a second influence of the site function attribute on the crowd dispersion distribution; the first influence is the influence of the site function attribute on the crowd dispersion distribution of the grid area to which it belongs, and the second influence is the influence of the site function attribute on the crowd dispersion distribution of other grid areas outside the grid area to which it belongs; The plurality of grid areas are traversed, and for each grid area, the first influence and the second influence on the grid area are comprehensively calculated to obtain the crowd dispersion tendency degree of each grid area under the functional attributes of the site.

[0060] In one embodiment, the first impact and the second impact are determined based on the following formula: ; in, The site function attribute is the first type of site function attribute The grid area For any grid area The first type of site functional attribute is a site functional attribute that only affects the crowd dispersion distribution of the grid area to which it belongs, and does not affect the crowd dispersion distribution of other grid areas outside the grid area to which it belongs. is the measurement value of the first impact, and 0 is the measurement value of the second impact.

[0061] In one embodiment, the first impact and the second impact are determined based on the following formula: ; in, The site function attribute is the second type of site function attribute The grid area For any grid area The second type of site function attribute is a site function attribute that does not affect the crowd dispersion distribution of the grid area to which it belongs, but only affects the crowd dispersion distribution of other grid areas outside the grid area to which it belongs. 0 is the measurement value of the first impact. is a measure of the second impact, and is the influence coefficient.

[0062] In one embodiment, the first impact and the second impact are determined based on the following formula: ; in, The site function attribute is the third type of site function attribute The grid area For any grid area The third type of venue function attribute is a venue function attribute that affects both the crowd dispersion distribution of the grid area to which it belongs and the crowd dispersion distribution of other grid areas outside the grid area to which it belongs. 1 is the measurement value of the first influence. is a measure of the second impact, and is the influence coefficient.

[0063] In one embodiment, the grid area concentration and distribution trend degree simulation module 1503 is specifically used to: The functional properties of all sites are calculated based on the following formula: The grid area of ​​any grid area The influence of crowd dispersion distribution is obtained by exist The degree of crowd dispersion tendency under the influence : ; in, The site function attribute is the first type of site function attribute The grid area For any grid area The influence function of the crowd dispersion distribution is The site function attribute is the second type of site function attribute The grid area For any grid area The influence function of the crowd dispersion distribution is The site function attribute is the third type of site function attribute The grid area For any grid area The influence function that affects the dispersion distribution of the crowd.

[0064] In one embodiment, the gathering place distribution trend degree simulation module 1504 is specifically used to: The area of ​​any grid is calculated based on the following formula The comprehensive crowd dispersion tendency degree under the influence of the functional attributes of each venue is obtained to obtain the comprehensive crowd dispersion tendency degree of the public gathering place under the coupling influence of the functional attributes of each venue : .

[0065] FIG. 16 is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Fig.16 As shown, the electronic device may include: a processor 1610, a communication interface 1620, a memory 1630 and a communication bus 1640, wherein the processor 1610, the communication interface 1620 and the memory 1630 communicate with each other through the communication bus 1640. The processor 1610 may call a computer program in the memory 1630 to execute the steps of the crowd dispersion tendency simulation method, for example including: Determine a site model of the public gathering place; the site model includes a plurality of grid areas within the scope of the public gathering place; Determining site functional attributes of each grid area in the site model; Based on the influence of the functional attributes of the site on the crowd dispersion distribution, the crowd dispersion tendency degree of each grid area is calculated; The crowd dispersion tendency degree of each grid area is integrated to obtain the comprehensive crowd dispersion tendency degree of the public gathering place; The comprehensive crowd dispersion tendency degree is output and displayed.

[0066] In addition, the logic instructions in the above-mentioned memory 1630 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0067] On the other hand, an embodiment of the present application further provides a computer program product, the computer program product including a computer program, the computer program can be stored on a non-transitory computer-readable storage medium, and when the computer program is executed by a processor, the computer can perform the steps of the crowd dispersion trend simulation method provided in the above embodiments, for example, including: Determine a site model of the public gathering place; the site model includes a plurality of grid areas within the scope of the public gathering place; Determining site functional attributes of each grid area in the site model; Based on the influence of the functional attributes of the site on the crowd dispersion distribution, the crowd dispersion tendency degree of each grid area is calculated; The crowd dispersion tendency degree of each grid area is integrated to obtain the comprehensive crowd dispersion tendency degree of the public gathering place; The comprehensive crowd dispersion tendency degree is output and displayed.

[0068] On the other hand, an embodiment of the present application further provides a non-transitory computer-readable storage medium on which a computer program is stored, wherein the computer program is used to enable a processor to execute the steps of the crowd dispersion trend simulation method provided in the above embodiments, for example, including: Determine a site model of the public gathering place; the site model includes a plurality of grid areas within the scope of the public gathering place; Determining site functional attributes of each grid area in the site model; Based on the influence of the functional attributes of the site on the crowd dispersion distribution, the crowd dispersion tendency degree of each grid area is calculated; The crowd dispersion tendency degree of each grid area is integrated to obtain the comprehensive crowd dispersion tendency degree of the public gathering place; The comprehensive crowd dispersion tendency degree is output and displayed.

[0069] The non-transitory computer-readable storage medium can be any available medium or data storage device that can be accessed by the processor, including but not limited to magnetic storage (such as floppy disks, hard disks, magnetic tapes, magneto-optical disks (MO), etc.), optical storage (such as CD, DVD, BD, HVD, etc.), and semiconductor storage (such as ROM, EPROM, EEPROM, non-volatile memory (NAND FLASH), solid-state drive (SSD)), etc.

[0070] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0071] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0072] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit it. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A crowd dispersion trend simulation method for public gathering places, characterized in that: include: determining a site model of the public gathering place; The site model includes a plurality of grid areas within the scope of the public gathering place; Determining site functional attributes of each grid area in the site model; Based on the influence of the functional attributes of the site on the crowd dispersion distribution, the crowd dispersion tendency degree of each grid area is calculated; The crowd dispersion tendency degree of each grid area is integrated to obtain the comprehensive crowd dispersion tendency degree of the public gathering place; The comprehensive crowd dispersion tendency degree is output and displayed.

2. The crowd dispersion trend simulation method according to claim 1, characterized in that: Determining the site model of the public gathering place includes: Acquire a first parameter for defining an area range of the public gathering place; Acquire a second parameter for dividing the area into grids; Based on the first parameter and the second parameter, the plan view corresponding to the public gathering place is divided into a plurality of grid areas to obtain the site model.

3. The crowd dispersion trend simulation method according to claim 1, characterized in that: Based on the impact of any site functional attribute on crowd dispersion distribution, the crowd dispersion tendency degree of each grid area is calculated, including: Determine a first influence and a second influence of the site function attribute on the crowd dispersion distribution; the first influence is the influence of the site function attribute on the crowd dispersion distribution of the grid area to which it belongs, and the second influence is the influence of the site function attribute on the crowd dispersion distribution of other grid areas outside the grid area to which it belongs; The plurality of grid areas are traversed, and for each grid area, the first influence and the second influence on the grid area are comprehensively calculated to obtain the crowd dispersion tendency degree of each grid area under the functional attributes of the site.

4. The crowd dispersion trend simulation method according to claim 3, characterized in that: The first impact and the second impact are determined based on the following formula: ； in, The site function attribute is the first type of site function attribute The grid area For any grid area The first type of site functional attribute is a site functional attribute that only affects the crowd dispersion distribution of the grid area to which it belongs, and does not affect the crowd dispersion distribution of other grid areas outside the grid area to which it belongs. is the measurement value of the first impact, and 0 is the measurement value of the second impact.

5. The crowd dispersion trend simulation method according to claim 3, characterized in that: The first impact and the second impact are determined based on the following formula: ； in, The site function attribute is the second type of site function attribute The grid area For any grid area The second type of site function attribute is a site function attribute that does not affect the crowd dispersion distribution of the grid area to which it belongs, but only affects the crowd dispersion distribution of other grid areas outside the grid area to which it belongs. 0 is the measurement value of the first impact. is a measure of the second impact, and is the influence coefficient.

6. The crowd dispersion trend simulation method according to claim 3, characterized in that: The first impact and the second impact are determined based on the following formula: ； in, The site function attribute is the third type of site function attribute The grid area For any grid area The third type of site function attribute is a site function attribute that affects both the crowd dispersion distribution of the grid area to which it belongs and the crowd dispersion distribution of other grid areas outside the grid area to which it belongs. 1 is the measurement value of the first influence. is a measure of the second impact, and is the influence coefficient.

7. The crowd dispersion trend simulation method according to claim 3, characterized in that: Any grid area in the site functional attributes The degree of crowd dispersion tendency under is determined based on the following method: The functional properties of all sites are calculated based on the following formula: The grid area of ​​any grid area The influence of crowd dispersion distribution is obtained by exist The degree of crowd dispersion tendency under the influence : ； in, The site function attribute is the first type of site function attribute The grid area For any grid area The influence function of the crowd dispersion distribution is The site function attribute is the second type of site function attribute The grid area For any grid area The influence function of the crowd dispersion distribution is The site function attribute is the third type of site function attribute The grid area For any grid area The influence function that affects the dispersion distribution of the crowd.

8. The crowd dispersion trend simulation method according to claim 7, characterized in that: The comprehensive crowd dispersion tendency degree of each grid area is synthesized to obtain the comprehensive crowd dispersion tendency degree of the public gathering place, including: The area of ​​any grid is calculated based on the following formula The comprehensive crowd dispersion tendency degree under the influence of the functional attributes of each venue is obtained to obtain the comprehensive crowd dispersion tendency degree of the public gathering place under the coupling influence of the functional attributes of each venue : 。 9. A crowd dispersion trend simulation device for use in public gathering places, characterized in that: include: A site model determination module is used to: determine the site model of the public gathering place; The site model includes a plurality of grid areas within the scope of the public gathering place; A site function attribute determination module is used to: determine the site function attribute of each grid area in the site model; A grid area concentration and dispersion tendency degree simulation module is used to calculate the crowd dispersion tendency degree of each grid area based on the influence of the site functional attributes on the crowd dispersion distribution; The gathering place gathering and dispersing tendency degree simulation module is used to: synthesize the crowd dispersing tendency degree of each grid area to obtain the comprehensive crowd dispersing tendency degree of the public gathering place; The gathering and dispersion tendency degree display module is used to: output and display the comprehensive crowd dispersion tendency degree.

10. An electronic device comprising a processor and a memory storing a computer program, characterized in that: When the processor executes the computer program, the steps of the crowd dispersion trend simulation method according to any one of claims 1 to 8 are implemented.

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