Enterprise digital exhibition and sales architecture management system

Abstract

The invention discloses an enterprise digital exhibition and sales architecture management system, and relates to the technical field of exhibition architecture management, and the system constructs and evaluates a regional distribution index Qyfb and a regional congestion index Ydz through a three-dimensional model building module, a layout management module and a real-time human traffic analysis module, can accurately evaluate the spatial distribution between showcases, and improves the exhibition and sales efficiency. The layout is adjusted in time to optimize the use efficiency of the exhibition area, and the exhibit is prevented from being too dense or loose; the method monitors and predicts the crowd congestion condition of the exhibition area in real time, dynamically adjusts the guide identifier and the interaction area setting, and relieves the congestion. The digital acquisition module and the analysis module realize comprehensive acquisition and analysis of illumination and environmental conditions of an exhibition site. The condition data set is deeply analyzed through the neural network technology, the illumination condition index Gztj and the ventilation condition index Tftj are calculated and evaluated to make corresponding management strategies, and the management efficiency of the exhibition site is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of exhibition architecture management, and in particular to an enterprise digital exhibition architecture management system. Background Art

[0002] In the context of digital transformation, corporate exhibitions are gradually moving towards intelligence and digitalization. Traditional exhibition management methods rely on manual operations and static planning, and often cannot adapt to complex exhibition needs and dynamic environmental changes. This traditional method is not only inefficient, but also difficult to meet the needs of modern exhibitions for precise layout, real-time data analysis, and optimized audience experience.

[0003] In the invention patent with application number 202311605337.0, a booth setting auxiliary method and system based on path planning is disclosed. The booth data and display cabinet data are obtained, and the placement method of the display cabinet in the booth is traversed based on a preset placement algorithm. The average aisle width corresponding to the minimum ratio of the booth edge connection line length to the number of connected aisles is calculated, and the corresponding combination is eliminated; based on the path planning algorithm, the shortest path from the entrance position through each node to the exit position is searched, and the shortest path length corresponding to each display cabinet placement combination is obtained. The display cabinet placement combination with the shortest path length less than the preset path threshold is eliminated to obtain the booth setting plan; based on the packing algorithm, the aisle width is screened and the booth display effect is reflected. While ensuring that the booth setting can leave enough walking space for the audience, the booth display effect is guaranteed, the efficiency of the booth setting is improved, and the curator is assisted in selecting the best booth setting plan.

[0004] This invention promotes improving the efficiency of booth setting and booth effect, but the current solution mainly focuses on path planning and aisle width optimization, ignoring the influence of environmental conditions (such as lighting, ventilation, etc.). Secondly, the existing solution adopts a static algorithm and does not take into account the dynamic changes that may occur during the exhibition, such as sudden audience flow, and the comprehensive optimization of lighting display effects, audience experience and safety. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides an enterprise digital exhibition and sales architecture management system to solve the problems mentioned in the background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: an enterprise digital exhibition and sales architecture management system, including a three-dimensional model building module, a layout management module, a real-time human flow analysis module, a digital collection module, an analysis module and a management module;

[0007] The three-dimensional model building module is used to pre-select an exhibition venue, collect the spatial structure information of the exhibition venue, and build a three-dimensional model of the venue, and divide the exhibition venue into multiple exhibition and sales monitoring areas, and set monitoring points in multiple exhibition and sales monitoring areas;

[0008] The layout management module is used to collect the display cabinet distribution data, establish the regional distribution data set, and after pre-processing the regional distribution data set, construct and evaluate the regional distribution index Qyfb to obtain the first layout adjustment plan or the second layout adjustment plan of the exhibition monitoring area;

[0009] A real-time crowd flow analysis module is used to collect the real-time crowd flow and crowd flow speed of the trade fair, construct a regional crowd flow busy index Rlzs, and associate the crowd flow busy index Rlzs with the regional distribution index Qyfb to obtain and evaluate the regional congestion index Ydz, and make corresponding adjustments to the first layout adjustment plan or the second layout adjustment plan;

[0010] The digital acquisition module collects the lighting information, display cabinet light reflection information and environmental information of each exhibition monitoring area to build a conditional data set;

[0011] The analysis module is used to establish an environmental prediction model through neural network technology and after training, extract and analyze relevant lighting features and environmental features of the condition data set to obtain the display cabinet shielding ratio zdbl, the display cabinet light incident angle rsjd, the exhibit light reflectivity Zpgz, the exhibit light uniformity Jyd, the air flow rate Kql, the air nitrogen dioxide concentration CO2, the temperature difference between the inside and outside of the display cabinet Wdc, and the humidity difference between the inside and outside of the display cabinet Sdc; by correlating the display cabinet shielding ratio zdbl, the display cabinet light incident angle rsjd, the exhibit light reflectivity Zpgz, and the exhibit light uniformity Jyd, the lighting condition index Gztj is obtained; the air flow rate Kql, the air nitrogen dioxide concentration CO2, the temperature difference between the inside and outside of the display cabinet Wdc, and the humidity difference between the inside and outside of the display cabinet Sdc are correlated to obtain the ventilation condition index Tftj;

[0012] The management module is used to evaluate the lighting condition index Gztj and ventilation condition index Tftj in the corresponding exhibition monitoring area to obtain the corresponding evaluation results and adopt the management strategy of the corresponding exhibition monitoring area.

[0013] Preferably, the three-dimensional model building module includes a space measurement unit, a three-dimensional model building unit and a region division unit;

[0014] The spatial measurement unit is used to collect and obtain the spatial structure data and facility information of the exhibition venue;

[0015] Spatial structure data includes walls, columns, ceilings, ground height, total exhibition area and volume;

[0016] Facility information including electrical outlets, lighting, vents, fire exits, and emergency escape routes;

[0017] The 3D model building unit is used to build a 3D scene model based on the collected spatial structure information using the modeling software SketchUp, and define the geometric shape, material properties and spatial layout of the 3D scene model;

[0018] The area division unit is used to divide the exhibition venue into multiple exhibition monitoring areas according to the exhibition requirements, and mark them in the 3D model construction unit as: Z1, Z2, Z3, ..., Z n ; n represents the number of exhibition monitoring areas.

[0019] Preferably, the layout management module includes a first data acquisition unit, a first calculation unit, a second calculation unit and a first judgment unit;

[0020] The first data collection unit is used to collect the display cabinet distribution data in the exhibition monitoring area, establish a regional distribution data set, and perform data cleaning and data standardization processing on the regional distribution data set;

[0021] The first calculation unit is used to extract the adjacent display cabinet gap feature, the adjacent display cabinet height difference feature, the adjacent display cabinet intersection area decoration area feature and the display cabinet corner radius feature in the regional distribution data set, and obtain them by calculating the following formula: the horizontal gap distance Gaps(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, the height difference GabH(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, the intersection area decoration area Area(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, and the corner radius R of the i-th display cabinet i :

[0022]

[0023] Where, Gaps(i,j) represents the horizontal gap between the i-th showcase and the adjacent j-th showcase, X i is the coordinate of the center of the i-th display cabinet on the horizontal axis, Y i Indicates the coordinate of the center of the i-th display cabinet on the vertical axis, X j and Y j represents the horizontal axis coordinate and vertical axis coordinate of the center of the adjacent j-th showcase, W i represents the actual width of the i-th showcase, W j represents the width of the adjacent j-th showcase;

[0024] GabH(i,j)=|H i -H j |;

[0025] In the formula, GabH(i,j) represents the height difference between adjacent showcases, H i Indicates the height of the i-th display cabinet, H j Indicates the height value of the adjacent j-th display cabinet;

[0026]

[0027] In the formula, Area(i,j) represents the area occupied by the decorations in the intersection area between the i-th showcase and the adjacent j-th showcase, and Area(D k ∩P i,j ) represents the area of ​​the intersection between the kth decoration and the display cabinet, D k represents the area of ​​the kth decoration, P i,j represents the intersection area between the ith display case and the adjacent jth display case;

[0028]

[0029] In the formula, R i represents the corner radius of the ith display cabinet, D i represents the width of the channel from the front to the back of the i-th showcase, θ i Indicates the turning angle of the aisle where the i-th showcase is located.

[0030] Preferably, the second calculation unit is used to extract the horizontal gap distance Gaps(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, the height difference GabH(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, the decoration area occupied by the intersection area Area(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, and the corner radius R of the i-th display cabinet. i , after dimensionless processing, the regional distribution index Qyfb is calculated by the following formula:

[0031]

[0032] Where F(i,j) represents the spatial layout index between the ith showcase and the adjacent jth showcase, a1, a2, a3 and a4 are preset proportional coefficients, N represents the total number of showcases, M represents the number of adjacent showcases for each showcase, V ij represents the volume of the i-th showcase and the adjacent j-th showcase, V total represents the total volume of the region;

[0033] The first judgment unit is used to preset a first threshold value X, and compare and analyze the regional distribution index Qyfb with the first threshold value X to generate a first judgment result, including:

[0034] If the regional distribution index Qyfb> the first threshold value X, it means that the gaps between the showcases are unqualified, the layout is too loose, and the regional utilization rate is unqualified, and a first layout adjustment plan is generated, including: rearranging the showcases, reducing the gaps between the showcases by 10%, adding 20% ​​of the interactive experience area, and increasing the number of showcases and decorations by 10%;

[0035] If the area distribution index Qyfb = the first threshold value X, it means that the gap between the showcases is acceptable and there is no need to adjust the layout;

[0036] If the regional distribution index Qyfb is less than the first threshold value X, it means that the gaps between the showcases are unqualified, the layout is too dense, and there is a risk of congestion. A second layout adjustment plan is generated, including: rearranging the showcases, increasing the gap distance between the showcases by 10%, reducing the interactive experience area by 20%, reducing the number of showcases and decorations by 10%, and increasing the guide signs by 10%.

[0037] Preferably, the real-time crowd flow analysis module includes a real-time crowd flow collection unit, a crowd flow busyness calculation unit and a second judgment unit;

[0038] The real-time crowd collection unit is used to collect the crowd density Rlmd, crowd speed rlsd, interactive stay time tlsj, noise level zysp and the total number of queued people pdrl in the exhibition monitoring area in real time through laser scanning technology and volume sensor;

[0039] The busy flow calculation unit is used to extract the crowd density Rlmd, crowd speed rlsd, interactive stay time tlsj, noise level zysp and the total number of queued people outside the area pdrl. After dimensionless processing, the busy flow index Rlzs is calculated by the following formula:

[0040]

[0041] Wherein, a5, a6, a7 and a8 represent the preset proportional coefficients of the crowd density Rlmd, the interactive stay time tlsj, the total number of people queuing outside the area pdrl and the crowd speed rlsd respectively;

[0042] After the busy flow index Rlzs and the regional distribution index Qyfb are dimensionless, they are associated with each other through the following formula to calculate the regional congestion index Ydz:

[0043]

[0044] In the formula, C th Indicates the threshold of the number of people that can be accommodated in the exhibition monitoring area.

[0045] Preferably, the second judgment unit is used to preset a congestion threshold W, and analyze and compare the regional congestion index Ydz with the congestion threshold W to obtain a second judgment result, including:

[0046] When the regional congestion index Ydz> the congestion threshold W, it indicates that there is a congestion risk in the current exhibition monitoring area, and the first warning instruction is generated. On the basis of the first layout adjustment plan, the number of display cabinets and decorations is reduced by 5%, and the guide signs are increased by 5%. At the same time, 50% of the total number of people queuing outside the area pdrl is guided to the adjacent exhibition monitoring area with a regional congestion index Ydz<the congestion threshold W*70% for browsing;

[0047] On the basis of the second layout adjustment plan, the gap between the display cabinets is increased by 15%, the interactive experience area is reduced by 20%, the number of display cabinets and decorations is reduced by 15%, and the guide signs are increased by 10%. At the same time, 60% of the total number of people queuing outside the area pdrl is guided to the adjacent exhibition monitoring area with regional congestion index Ydz < congestion threshold W*70% for browsing;

[0048] When the regional congestion index Ydz ≤ the congestion threshold W, it means that there is no congestion risk in the current exhibition monitoring area and monitoring will continue.

[0049] Preferably, the analysis module includes establishing a feature extraction unit and an association unit;

[0050] The feature extraction unit is used to establish an environmental prediction model through neural network technology and after training, extract and analyze the relevant lighting features and environmental features of the conditional data set, and calculate the display cabinet occlusion ratio zdbl, the display cabinet light incident angle rsjd, the exhibit light reflectivity Zpgz and the exhibit light uniformity Jyd through the following formula:

[0051]

[0052] Where Azd represents the total area of ​​the display cabinet blocked in the current exhibition monitoring area, Azmj represents the total display area of ​​the display cabinet, represents the light vector from the light source to the display case surface, represents the normal vector of the display cabinet surface, arccos represents the inverse cosine function, represents the modulus of the light vector, I represents the modulus of the normal vector; fs Indicates the intensity of light reflected from the surface of the exhibit, I rs It represents the intensity of light irradiating the surface of the exhibit, σI represents the standard deviation of the light intensity on the surface of the exhibit, and μI represents the average light intensity on the surface of the exhibit.

[0053] Preferably, the correlation unit is used to generate the lighting condition index Gztj through the following correlation formula after dimensionless processing of the showcase shielding ratio zdbl, the showcase light incident angle rsjd, the exhibit light reflectivity Zpgz and the exhibit light uniformity Jyd:

[0054]

[0055] Wherein, b1, b2, b3 and b4 represent the preset proportional coefficients of the incident angle of the showcase light rsjd, the reflectivity of the exhibit light Zpgz, the uniformity of the exhibit light Jyd and the shielding ratio of the showcase zdbl, respectively, and C1 represents the first correction constant;

[0056] After the air velocity Kql, air nitrogen dioxide concentration CO2, temperature difference between inside and outside of the showcase Wdc, and humidity difference between inside and outside of the showcase Sdc are dimensionless, the ventilation condition index Tftj is generated through the following correlation formula;

[0057]

[0058] Wherein, b5, b6, b7 and b8 represent the preset proportional coefficients of the air nitrogen dioxide concentration CO2, the temperature difference between the inside and outside of the showcase Wdc, the humidity difference between the inside and outside of the showcase Sdc and the air flow rate Kql, respectively, and C2 represents the second correction constant.

[0059] Preferably, the management module includes an evaluation unit and an environmental strategy unit;

[0060] The evaluation unit is used to preset a light threshold L and a ventilation threshold Q, and compare the light condition index Gztj in the corresponding exhibition monitoring area with the light threshold L to obtain a first light evaluation result, including:

[0061] When the light condition index Gztj ≥ the light threshold L, it means that the light condition of the current exhibition monitoring area is qualified, and the existing light setting parameters are maintained;

[0062] When the light condition index Gztj is less than the light threshold L, it indicates that the light condition in the current exhibition monitoring area is unqualified, and the first light adjustment strategy is generated through the environmental strategy unit to increase the light lumen output by 500-3000, remove the display cabinet obstructions, and optimize the position and angle of the exhibits;

[0063] The ventilation condition index Tftj in the corresponding exhibition monitoring area is compared and evaluated with the ventilation threshold Q to obtain the second evaluation result:

[0064] When the ventilation condition index Tftj ≥ ventilation threshold Q, it means that the ventilation condition of the current exhibition monitoring area is qualified, and the existing ventilation equipment and temperature control equipment should be maintained;

[0065] When the ventilation condition index Tftj is less than the ventilation threshold Q, it indicates that the ventilation conditions in the current exhibition monitoring area are unqualified. The second ventilation adjustment strategy is generated through the environmental strategy unit to increase the wind speed parameters of the ventilation equipment by 20%-30%, and to add 1-3 air purifiers in the current exhibition monitoring area to adjust the temperature difference and humidity difference inside and outside the showcase within the difference threshold range.

[0066] The present invention provides a digital sales exhibition architecture management system for an enterprise, which has the following beneficial effects:

[0067] (1) Existing path planning schemes mainly focus on aisle width optimization and path planning, while ignoring the lighting and ventilation conditions in the exhibition environment. The new system uses digital acquisition modules and analysis modules to consider not only the layout of the display cabinets, but also the influence of environmental conditions (such as lighting, air flow rate, temperature and humidity differences). By establishing an environmental prediction model and analyzing these environmental parameters, the overall environmental quality of the exhibition area can be optimized, and the exhibit display effect and audience experience can be improved. By comprehensively evaluating the lighting condition index Gztj and the ventilation condition index Tftj, a detailed management strategy is generated. This comprehensive evaluation and strategy formulation can effectively manage the exhibition environment and ensure the smooth progress and efficient operation of exhibition activities.

[0068] (2) The real-time traffic flow analysis module of the present invention can monitor the traffic flow and speed in real time, and dynamically adjust the layout plan according to the data. This real-time feedback mechanism enables exhibition activities to better respond to changes in audience flow, improving the flexibility and response speed of the exhibition. The layout optimization in the existing scheme is mainly achieved through static path planning, which may lead to the inability to make effective adjustments during the exhibition. The present invention provides a dynamic adjustment plan through a layout management module, combined with the analysis of the three-dimensional model and the regional distribution index Qyfb. This method not only optimizes the layout of the display cabinet, but also can automatically adjust according to real-time data to ensure the best use of the exhibition space.

[0069] (3) In this enterprise digital exhibition and sales architecture management system, the area division unit divides the venue into multiple exhibition and sales monitoring areas according to the exhibition needs, so that each area can be independently analyzed and optimized according to specific needs. The calculation of horizontal gap distance and corner radius helps to design a reasonable channel width to avoid congestion and poor flow caused by insufficient display cabinet gap or unsmooth corners. According to the calculation of height difference and the area occupied by decorations, the layout between display cabinets can be optimized to ensure the best display effect of exhibits and enhance the visual experience and satisfaction of the audience. Through the careful calculation of display cabinet gaps, decoration area, etc., the utilization rate of exhibition space can be effectively improved and resource waste can be avoided. Reasonable display cabinet spacing and corner radius design help to improve the safety of the exhibition area and reduce the risk of collision and fall of the audience during the exhibition. During the exhibition, dynamic adjustments can be made according to real-time data to timely optimize the display cabinet layout to adapt to the actual viewing situation and demand changes. Through scientific gap distance adjustment and display cabinet rearrangement, the exhibition area can be better utilized, space waste can be avoided, and the display effect of the exhibition can be improved. When the layout is too dense, adjusting the distance between showcases and adding guide signs can effectively reduce congestion and improve the comfort and visiting experience of visitors. By automatically generating layout adjustment plans, it can quickly respond to the actual situation and demand changes at the exhibition site, reduce manual intervention, and improve exhibition management efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] Figure 1 This is a flowchart diagram of a digital sales exhibition architecture management system for an enterprise according to the present invention. DETAILED DESCRIPTION

[0071] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0072] Example 1

[0073] See also Figure 1 , the present invention provides an enterprise digital exhibition and sales architecture management system, including a three-dimensional model building module, a layout management module, a real-time human flow analysis module, a digital collection module, an analysis module and a management module;

[0074] The three-dimensional model building module is used to pre-select an exhibition venue, collect the spatial structure information of the exhibition venue, and build a three-dimensional model of the venue, and divide the exhibition venue into multiple exhibition and sales monitoring areas, and set monitoring points in multiple exhibition and sales monitoring areas; the three-dimensional model building module includes a computer hardware unit for obtaining the spatial structure information of the exhibition venue, and a computer program module for generating a three-dimensional model based on the information;

[0075] The layout management module is used to collect the display cabinet distribution data, establish the regional distribution data set, and after pre-processing the regional distribution data set, construct and evaluate the regional distribution index Qyfb to obtain the first layout adjustment plan or the second layout adjustment plan of the exhibition monitoring area;

[0076] A real-time crowd flow analysis module is used to collect the real-time crowd flow and crowd flow speed of the trade fair, construct a regional crowd flow busy index Rlzs, and associate the crowd flow busy index Rlzs with the regional distribution index Qyfb to obtain and evaluate the regional congestion index Ydz, and make corresponding adjustments to the first layout adjustment plan or the second layout adjustment plan;

[0077] The digital acquisition module collects the lighting information, display cabinet light reflection information and environmental information of each exhibition monitoring area to build a conditional data set;

[0078] The analysis module includes a computer program module implemented by a computer hardware unit and a neural network technology, and is used to establish an environmental prediction model through the neural network technology and, after training, extract and analyze relevant lighting features and environmental features of the condition data set to obtain the display cabinet shielding ratio zdbl, the display cabinet light incident angle rsjd, the exhibit light reflectivity Zpgz, the exhibit light uniformity Jyd, the air flow rate Kql, the air nitrogen dioxide concentration CO2, the display cabinet inside and outside temperature difference Wdc and the display cabinet inside and outside humidity difference Sdc; by correlating the display cabinet shielding ratio zdbl, the display cabinet light incident angle rsjd, the exhibit light reflectivity Zpgz, and the exhibit light uniformity Jyd, the light condition index Gztj is obtained; the air flow rate Kql, the air nitrogen dioxide concentration CO2, the display cabinet inside and outside temperature difference Wdc and the display cabinet inside and outside humidity difference Sdc are correlated to obtain the ventilation condition index Tftj;

[0079] The management module includes an evaluation system composed of a computer hardware unit and a computer program module, and the evaluation system evaluates the light condition index Gztj and the ventilation condition index Tftj in the exhibition monitoring area, and generates a management strategy based on the evaluation results;

[0080] The management module is used to evaluate the lighting condition index Gztj and ventilation condition index Tftj in the corresponding exhibition monitoring area to obtain the corresponding evaluation results and adopt the management strategy of the corresponding exhibition monitoring area.

[0081] In this embodiment, the existing path planning scheme mainly focuses on aisle width optimization and path planning, while ignoring the lighting and ventilation conditions in the exhibition environment. The new system uses digital acquisition modules and analysis modules to not only consider the layout of the display cabinets, but also the influence of environmental conditions (such as light, air flow rate, temperature and humidity differences). By establishing an environmental prediction model and analyzing these environmental parameters, the overall environmental quality of the exhibition area can be optimized, and the exhibit display effect and audience experience can be improved. By comprehensively evaluating the lighting condition index Gztj and the ventilation condition index Tftj, a detailed management strategy is generated. This comprehensive evaluation and strategy formulation can effectively manage the exhibition environment and ensure the smooth progress and efficient operation of exhibition activities.

[0082] The solutions in the background technology rely on static algorithms and do not take into account possible dynamic changes during the exhibition (such as sudden visitor flow). The real-time traffic analysis module of the present invention can monitor the traffic flow and speed in real time and dynamically adjust the layout plan according to the data. This real-time feedback mechanism enables exhibition activities to better respond to changes in visitor flow, improving the flexibility and response speed of the exhibition.

[0083] The layout optimization in the existing scheme is mainly achieved through static path planning, which may result in the inability to make effective adjustments during the exhibition process. The present invention provides a dynamic adjustment scheme through the layout management module, combined with the analysis of the three-dimensional model and the regional distribution index Qyfb. This method not only optimizes the layout of the display cabinet, but also automatically adjusts it according to real-time data to ensure the best use of the exhibition space.

[0084] Example 2: This example is an explanation of Example 1. Figure 1 Specifically, the three-dimensional model building module includes a space measurement unit, a three-dimensional model building unit and a region division unit;

[0085] The spatial measurement unit is used to collect and obtain the spatial structure data and facility information of the exhibition venue; the three-dimensional point cloud data is obtained through laser scanner measurement to generate detailed spatial structure information, and the GPS positioning system and laser rangefinder can also be used to measure the size, layout and facility location of the venue. These tools help provide accurate geographic positioning and spatial data.

[0086] Spatial structure data includes walls, columns, ceilings, ground height, total exhibition area and volume;

[0087] Facility information including electrical outlets, lighting, vents, fire exits, and emergency escape routes;

[0088] The 3D model building unit is used to build a 3D scene model based on the collected spatial structure information using the modeling software SketchUp, and define the geometric shape, material properties and spatial layout of the 3D scene model;

[0089] The area division unit is used to divide the exhibition venue into multiple exhibition monitoring areas according to the exhibition requirements, and mark them as: Z1, Z2, Z3, ..., Z n ; n represents the number of exhibition monitoring areas.

[0090] In this embodiment, the regional division unit divides the venue into multiple exhibition monitoring areas according to the exhibition needs, so that each area can be independently analyzed and optimized according to specific needs. This regional management allows personalized layout adjustments and environmental control for different areas, improving the flexibility and adaptability of the exhibition. By dividing the venue into multiple monitoring areas, the layout and environmental conditions of each area can be monitored and adjusted more accurately, thereby improving the overall exhibition effect. For example, lighting and ventilation can be optimized in specific areas to ensure the best display effect of exhibits and the comfort of the audience. The constructed three-dimensional scene model not only provides an intuitive visual reference for exhibition design, but can also be used for communication and collaboration with relevant personnel (such as curators, exhibition designers, etc.), making the design plan more visual and operational, and reducing the possibility of misunderstanding and modification.

[0091] Example 3, this example is explained in Example 1, please refer to Figure 1 Specifically, the layout management module includes a first data acquisition unit, a first calculation unit, a second calculation unit and a first judgment unit;

[0092] The first data collection unit is used to collect the display cabinet distribution data in the exhibition monitoring area, establish a regional distribution data set, and perform data cleaning and data standardization processing on the regional distribution data set;

[0093] The first calculation unit is used to extract the adjacent display cabinet gap feature, the adjacent display cabinet height difference feature, the adjacent display cabinet intersection area decoration area feature and the display cabinet corner radius feature in the regional distribution data set, and obtain them by calculating the following formula: the horizontal gap distance Gaps(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, the height difference GabH(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, the intersection area decoration area Area(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, and the corner radius R of the i-th display cabinet i :

[0094]

[0095] In the formula, Gsps(i,j) represents the horizontal gap between the i-th showcase and the adjacent j-th showcase, X i is the coordinate of the center of the i-th display cabinet on the horizontal axis, Y i Indicates the coordinate of the center of the i-th display cabinet on the vertical axis, X j and Y j represents the horizontal axis coordinate and vertical axis coordinate of the center of the adjacent j-th showcase, W i represents the actual width of the i-th showcase, W j represents the width of the adjacent j-th showcase;

[0096] GabH(i,j)=|H i -H j |;

[0097] In the formula, GabH(i,j) represents the height difference between adjacent showcases, H i Indicates the height of the i-th display cabinet, H j Indicates the height value of the adjacent j-th display cabinet;

[0098]

[0099] In the formula, Area(i,j) represents the area occupied by the decorations in the intersection area between the i-th showcase and the adjacent j-th showcase; Area(D k ∩P i,j ) represents the area of ​​the intersection between the kth decoration and the display cabinet, D k represents the area of ​​the kth decoration, P i,j represents the intersection area between the ith display case and the adjacent jth display case;

[0100]

[0101] In the formula, R i represents the corner radius of the i-th display cabinet, D i represents the width of the channel from the front to the back of the i-th showcase, θ i represents the turning angle of the channel where the i-th showcase is located, and tan represents the tangent function.

[0102] All the lower-level data are used to obtain the 3D model of the showcase, extract the center coordinates and calculate the horizontal gap distance and height difference. The camera takes images of the showcase and decorations, and uses image processing algorithms to identify and calculate the area of ​​the intersection. It also includes laser rangefinders, angle sensors and 3D scanners.

[0103] In this embodiment, the calculation of the horizontal gap distance and the corner radius helps to design a reasonable channel width, avoiding congestion and poor flow caused by insufficient gaps or unsmooth corners in the display cabinets. Based on the calculation of the height difference and the area occupied by the decorations, the layout between the display cabinets can be optimized to ensure the best display effect of the exhibits, enhancing the visual experience and satisfaction of the audience. Through the detailed calculation of the gaps between the display cabinets, the area occupied by the decorations, etc., the utilization rate of the exhibition space can be effectively improved, avoiding waste of resources. A reasonable design of the display cabinet spacing and the corner radius helps to improve the safety of the exhibition area, reducing the risk of collisions and falls of the audience during the exhibition. During the exhibition process, dynamic adjustment can be made according to real-time data to optimize the display cabinet layout in a timely manner to adapt to the actual viewing situation and changes in requirements.

[0104] Embodiment 4. This embodiment is an explanatory description based on Embodiment 1. Please refer to Figure 1 . Specifically, the second calculation unit is used to extract the horizontal gap distance Gaps(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, the height difference GabH(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, the area Area(i,j) occupied by the decorations in the intersection area between the i-th display cabinet and the adjacent j-th display cabinet, and the corner radius R of the i-th display cabinet i . After dimensionless processing, the regional distribution index Qyfb is calculated through the following formula:

[0105]

[0106] In the formula, F(i,j) represents the spatial layout index between the i-th display cabinet and the adjacent j-th display cabinet. a1, a2, a3, and a4 are all preset proportional coefficients, which are adjusted and set by the user. 0 < a1 < 1, 0 < a2 < 1, 0 < a3 < 1, 0 < a4 < 1, and a1 + a2 + a3 + a4 = 1.

[0107] N represents the total number of display cabinets, M represents the number of adjacent display cabinets for each display cabinet, and V ij represents the volume between the i-th display cabinet and the adjacent j-th display cabinet, and V total represents the total volume of the region;

[0108] This method of comprehensively considering various spatial factors by the regional distribution index Qyfb can effectively optimize the exhibition layout and improve the regional utilization rate.

[0109] The first judgment unit is used to preset the first threshold X, and compare and analyze the regional distribution index Qyfb with the first threshold X to generate the first judgment result, including:

[0110] If the regional distribution index Qyfb> the first threshold value X, it means that the gaps between the showcases are unqualified, the layout is too loose, and the regional utilization rate is unqualified, and a first layout adjustment plan is generated, including: rearranging the showcases, reducing the gaps between the showcases by 10%, adding 20% ​​of the interactive experience area, and increasing the number of showcases and decorations by 10%;

[0111] If the area distribution index Qyfb = the first threshold value X, it means that the gap between the showcases is acceptable and there is no need to adjust the layout;

[0112] If the regional distribution index Qyfb is less than the first threshold value X, it means that the gaps between the showcases are unqualified, the layout is too dense, and there is a risk of congestion. A second layout adjustment plan is generated, including: rearranging the showcases, increasing the gap distance between the showcases by 10%, reducing the interactive experience area by 20%, reducing the number of showcases and decorations by 10%, and increasing the guide signs by 10%.

[0113] In this embodiment, by adjusting the gap distance scientifically and rearranging the showcases, the exhibition area can be better utilized, space waste can be avoided, and the display effect of the exhibition can be improved. When the layout is too dense, adjusting the showcase spacing and adding guide signs can effectively reduce congestion and improve the comfort and visiting experience of the audience. By automatically generating layout adjustment plans, it is possible to quickly respond to the actual situation and demand changes at the exhibition site, reduce manual intervention, and improve exhibition management efficiency.

[0114] Example 5. This example is explained in Example 1. Please refer to Figure 1 Specifically, the real-time crowd flow analysis module includes a real-time crowd flow collection unit, a crowd flow busyness calculation unit and a second judgment unit;

[0115] The real-time crowd collection unit is used to collect the crowd density Rlmd, crowd speed rlsd, interactive stay time tlsj, noise level zysp and the total number of queued people pdrl in the exhibition monitoring area in real time through laser scanning technology and volume sensor;

[0116] The busy flow calculation unit is used to extract the crowd density Rlmd, crowd speed rlsd, interactive stay time tlsj, noise level zysp and the total number of queued people outside the area pdrl. After dimensionless processing, the busy flow index Rlzs is calculated by the following formula:

[0117]

[0118] Wherein, a5, a6, a7, and a8 respectively represent preset proportionality coefficients of the pedestrian flow density Rlmd, the interactive stay time tlsj, the total amount of queuing pedestrians outside the area pdrl, and the pedestrian flow speed rlsd; they are adjusted and set by the user, 0 < a5 < 1, 0 < a6 < 1, 0 < a7 < 1, 0 < a8 < 1, and a5 + a6 + a7 + a8 = 1.

[0119] After dimensionless processing of the pedestrian flow busyness index Rlzs and the area distribution index Qyfb, they are correlated through the following formula to calculate and obtain the area congestion index Ydz:

[0120]

[0121] In the formula, C th represents the threshold of the number of people that the exhibition monitoring area can accommodate.

[0122] The second judgment unit is used to preset the congestion threshold W, and analyze and compare the area congestion index Ydz with the congestion threshold W to obtain the second judgment result, including:

[0123] When the area congestion index Ydz > the congestion threshold W, it indicates that there is a congestion risk in the current exhibition monitoring area, and a first warning instruction is generated. On the basis of the first layout adjustment plan, the number of display cabinets and decorations is reduced by 5%, and 5% of guiding signs are added. Then, 50% of the total amount of queuing pedestrians outside the area pdrl is guided to the adjacent exhibition monitoring area where the area congestion index Ydz < 70% of the congestion threshold W for browsing;

[0124] On the basis of the second layout adjustment plan, the gap distance between display cabinets is increased by 15%, the interactive experience area is reduced by 20%, the number of display cabinets and decorations is reduced by 15%, and 10% of guiding signs are added. Then, 60% of the total amount of queuing pedestrians outside the area pdrl is guided to the adjacent exhibition monitoring area where the area congestion index Ydz < 70% of the congestion threshold W for browsing;

[0125] When the area congestion index Ydz ≤ the congestion threshold W, it indicates that there is no congestion risk in the current exhibition monitoring area, and continuous monitoring is carried out.

[0126] In this embodiment, through high-precision devices such as laser scanning technology and volume sensors, data such as pedestrian flow density, speed, and interactive stay time in the exhibition area can be collected in real time. This real-time monitoring helps to quickly respond to changes in the pedestrian flow, improving the flexibility and real-time nature of exhibition management. By dimensionless processing and comprehensively calculating data such as pedestrian flow density, interactive stay time, and the total amount of queuing pedestrians outside the area, the pedestrian flow busyness index Rlzs is calculated, and the pedestrian flow busyness index Rlzs, the area distribution index Qyfb, and the threshold C of the number of people that the exhibition monitoring area can accommodate thThe regional congestion index Ydz is obtained by associating them. This method can accurately evaluate the congestion situation of each exhibition monitoring area and timely discover potential congestion risks. When the regional congestion index Ydz exceeds the congestion threshold W, by reducing the number of showcases and decorations, the density of people flow can be effectively reduced and the congestion can be alleviated. Adding guide signs can help guide the flow of people, avoid congested areas, and improve the distribution of people flow. By guiding the queues outside the area to areas with less congestion, the flow of people can be effectively dispersed and the risk of congestion can be reduced. By adding guide signs and guiding the queues to areas with less congestion in the adjustment plan, the congestion during peak hours can be effectively reduced. Further adjustments based on the existing first and second plans can more accurately optimize the layout of showcases, ensure that the space of each exhibition area is used most effectively, and avoid space waste and congestion. Adjustments based on the first and second plans can better adapt to various emergencies and changes that may occur during the exhibition and maintain the flexibility of exhibition activities.

[0127] Example 6: This example is explained in Example 1. Figure 1 Specifically, the analysis module includes establishing a feature extraction unit and an associated unit;

[0128] The feature extraction unit is used to establish an environmental prediction model through neural network technology and after training, extract and analyze the relevant lighting features and environmental features of the conditional data set, and calculate the display cabinet occlusion ratio zdbl, the display cabinet light incident angle rsjd, the exhibit light reflectivity Zpgz and the exhibit light uniformity Jyd through the following formula:

[0129]

[0130] Where Azd represents the total area of ​​the display cabinet blocked in the current exhibition monitoring area, Azmj represents the total display area of ​​the display cabinet, represents the light vector from the light source to the display case surface, represents the normal vector of the display cabinet surface, arccos represents the inverse cosine function, represents the modulus of the light vector, I represents the modulus of the normal vector; fs Indicates the intensity of light reflected from the surface of the exhibit, I rsIt represents the light intensity irradiated on the surface of the exhibit. σI represents the standard deviation of the light intensity on the surface of the exhibit, and μI represents the average value of the light intensity on the surface of the exhibit. By calculating the ratio of the total area of the blocked area of the display case to the total display area of the display case, the occlusion situation of the display case can be quantified. This helps to evaluate the light coverage of the display case and ensure that the exhibit receives appropriate lighting. Calculating the angle between the light vector from the light source to the surface of the display case and the normal vector of the surface of the display case can evaluate the impact of the incident angle of the light on the exhibit. An appropriate incident angle can improve the display effect of the exhibit. By measuring the ratio of the light intensity reflected from the surface of the exhibit to the light intensity irradiated on the surface of the exhibit, the light reflection performance of the exhibit can be quantified. This helps to understand the performance of the exhibit under light. Calculating the ratio of the standard deviation to the average value of the light intensity on the surface of the exhibit can evaluate the light uniformity of the exhibit. Uniform lighting can reduce the shadows and uneven illumination on the surface of the exhibit and improve the display effect. The above data are collected through intensity sensors, illuminometers, laser scanners and angle sensors;

[0131] The associated unit is used to dimensionless process the display case occlusion ratio zdbl, the incident angle of the display case light rsjd, the light reflectivity of the exhibit Zpgz, and the light uniformity of the exhibit Jyd, and generate a lighting condition index Gztj through the following associated formula:

[0132]

[0133] In the formula, b1, b2, b3, and b4 respectively represent the preset proportionality coefficients of the incident angle of the display case light rsjd, the light reflectivity of the exhibit Zpgz, the light uniformity of the exhibit Jyd, and the display case occlusion ratio zdbl, which are adjusted and set by the user. 0 < b1 < 1, 0 < b2 < 1, 0 < b3 < 1, 0 < b4 < 1, and b1 + b2 + b3 + b4 = 1. C1 represents the first correction constant; the lighting condition index Gztj can provide an overall evaluation of the lighting conditions in the exhibition area and help optimize the lighting settings and exhibition effects.

[0134] And after dimensionless processing the air flow rate Kql, the air nitrogen dioxide concentration CO2, the temperature difference Wdc inside and outside the display case, and the humidity difference Sdc inside and outside the display case, generate a ventilation condition index Tftj through the following associated formula;

[0135]

[0136] Wherein, b5, b6, b7, and b8 respectively represent the preset proportionality coefficients of the air nitrogen dioxide concentration CO2, the temperature difference Wdc inside and outside the display cabinet, the humidity difference Sdc inside and outside the display cabinet, and the air flow rate Kql, which are adjusted and set by the user, 0 < b5 < 1, 0 < b6 < 1, 0 < b7 < 1, 0 < b8 < 1, and b5 + b6 + b7 + b8 = 1. C2 represents the second correction constant. The ventilation condition index Tftj can evaluate the ventilation status of the exhibition area to ensure the suitability of the environment inside and outside the display cabinet. The above data is collected through a wind speed sensor, a carbon dioxide detector, and a temperature and humidity sensor;

[0137] Example 7. This example is an explanatory description based on Example 6. Please refer to Figure 1 . Specifically, the management module includes an evaluation unit and an environmental strategy unit;

[0138] The evaluation unit is used to preset the lighting threshold L and the ventilation threshold Q, and compare the lighting condition index Gztj in the corresponding exhibition and sales monitoring area with the lighting threshold L to obtain the first lighting evaluation result, including:

[0139] When the lighting condition index Gztj ≥ the lighting threshold L, it means that the lighting condition in the current exhibition and sales monitoring area is qualified, and the existing lighting setting parameters are maintained;

[0140] When the lighting condition index Gztj < the lighting threshold L, it means that the lighting condition in the current exhibition and sales monitoring area is unqualified. A first lighting adjustment strategy is generated through the environmental strategy unit to increase the light output by 500 - 3000 lumens, remove the obstacles blocking the display cabinet, and optimize the position and angle of the exhibits;

[0141] And compare and evaluate the ventilation condition index Tftj in the corresponding exhibition and sales monitoring area with the ventilation threshold Q to obtain the second evaluation result:

[0142] When the ventilation condition index Tftj ≥ the ventilation threshold Q, it means that the ventilation condition in the current exhibition and sales monitoring area is qualified, and the existing ventilation equipment and temperature control equipment are maintained;

[0143] When the ventilation condition index Tftj < the ventilation threshold Q, it means that the ventilation condition in the current exhibition and sales monitoring area is unqualified. A second ventilation adjustment strategy is generated through the environmental strategy unit to increase the wind speed parameter of the ventilation equipment by 20% - 30%, and add 1 - 3 air purifiers in the current exhibition and sales monitoring area to adjust the temperature difference and humidity difference inside and outside the display cabinet within the difference threshold range.

[0144] In this embodiment, when the lighting condition index is lower than the lighting threshold, it indicates that the lighting condition is not up to standard. By generating a first lighting adjustment strategy, increasing the lighting lumen output, removing obstructions, and optimizing the position and angle of the exhibits, it helps to improve the lighting conditions and make the exhibits more effectively displayed. When the ventilation condition index is lower than the ventilation threshold, it indicates that the ventilation conditions are not up to standard. By generating a second ventilation adjustment strategy, increasing the wind speed of the ventilation equipment, increasing the number of air purifiers, and adjusting the temperature and humidity difference, it helps to improve the air quality and the comfort level of the exhibition monitoring area.

[0145] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0146] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. An enterprise digital exhibition and sales architecture management system, characterized by: include: The three-dimensional model building module is used to pre-select an exhibition venue, collect the spatial structure information of the exhibition venue, and build a three-dimensional model of the venue, and divide the exhibition venue into multiple exhibition and sales monitoring areas, and set monitoring points in multiple exhibition and sales monitoring areas; The layout management module is used to collect the display cabinet distribution data, establish the regional distribution data set, construct and evaluate the regional distribution index Qyfb, and obtain the first layout adjustment plan or the second layout adjustment plan for the exhibition monitoring area; A real-time crowd flow analysis module is used to collect the real-time crowd flow and crowd flow speed of the trade fair, construct a regional crowd flow busy index Rlzs, and associate the crowd flow busy index Rlzs with the regional distribution index Qyfb to obtain and evaluate the regional congestion index Ydz, and make corresponding adjustments to the first layout adjustment plan or the second layout adjustment plan; The digital acquisition module is used to collect the lighting information, display cabinet light reflection information and environmental information of the exhibition monitoring area to build a conditional data set; The analysis module includes a computer program module implemented by a computer hardware unit and a neural network technology. After establishing and training the environmental prediction model, the relevant lighting characteristics and environmental characteristics of the condition data set are extracted and analyzed, and the lighting condition index Gztj and the ventilation condition index Tftj are obtained through in-depth calculation and analysis; The management module includes an evaluation system composed of a computer hardware unit and a computer program module. The evaluation system evaluates the light condition index Gztj and the ventilation condition index Tftj in the exhibition monitoring area and generates a management strategy based on the evaluation results.

2. According to claim 1, the enterprise digital exhibition and sales architecture management system is characterized by: The three-dimensional model building module includes a space measurement unit, a three-dimensional model building unit and a region division unit; The space measurement unit is used to collect and obtain the spatial structure data and facility information of the exhibition venue; Spatial structure data includes walls, columns, ceilings, ground height, total exhibition area and volume; Facility information including electrical outlets, lighting, vents, fire exits, and emergency escape routes; The three-dimensional model building unit is used to build a three-dimensional scene model based on the collected spatial structure information using the modeling software SketchUp, and define the geometric shape, material properties and spatial layout of the three-dimensional scene model; The area division unit is used to divide the exhibition venue into multiple exhibition monitoring areas according to the exhibition requirements, and mark them as: Z1, Z2, Z3, ..., Z n ; n represents the number of exhibition monitoring areas.

3. According to claim 1, the enterprise digital exhibition and sales architecture management system is characterized by: The layout management module includes a first data acquisition unit, a first calculation unit, a second calculation unit and a first judgment unit; The first data collection unit is used to collect the display cabinet distribution data in the exhibition monitoring area, establish a regional distribution data set, and perform data cleaning and data standardization processing on the regional distribution data set; The first calculation unit is used to extract the adjacent display cabinet gap feature, the adjacent display cabinet height difference feature, the adjacent display cabinet intersection area decoration area feature and the display cabinet corner radius feature in the regional distribution data set, and obtain them by calculating the following formula: the horizontal gap distance Gaps(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, the height difference GabH(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, the intersection area decoration area Area(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, and the corner radius R of the i-th display cabinet i : Where, Gaps(i,j) represents the horizontal gap between the i-th showcase and the adjacent j-th showcase, X i is the coordinate of the center of the i-th display cabinet on the horizontal axis, Y i Indicates the coordinate of the center of the i-th display cabinet on the vertical axis, X j and Y j represents the horizontal axis coordinate and vertical axis coordinate of the center of the adjacent j-th showcase, W i represents the actual width of the i-th showcase, W j represents the width of the adjacent j-th showcase; GetH(i,j)=|H i -H j |; In the formula, GabH(i,j) represents the height difference between adjacent showcases, H i Indicates the height of the i-th display cabinet, H j Indicates the height value of the adjacent j-th display cabinet; In the formula, Area(i,j) represents the area occupied by the decorations in the intersection area between the i-th showcase and the adjacent j-th showcase, and Area(D k ∩P i,j ) represents the area of ​​the intersection between the kth decoration and the display cabinet, D k represents the area of ​​the kth decoration, P i,j represents the intersection area between the ith display case and the adjacent jth display case; In the formula, R i represents the corner radius of the i-th display cabinet, D i represents the width of the channel from the front to the back of the i-th showcase, θ i Indicates the turning angle of the aisle where the i-th showcase is located.

4. The enterprise digital exhibition and sales architecture management system according to claim 3 is characterized by: The second calculation unit is used to extract the horizontal gap distance Gaps(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, the height difference GabH(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, the decoration area occupied by the intersection area Area(i,j) between the i-th display cabinet and the adjacent j-th display cabinet, and the corner radius R of the i-th display cabinet. i , after dimensionless processing, the regional distribution index Qyfb is calculated by the following formula: Where F(i,j) represents the spatial layout index between the ith showcase and the adjacent jth showcase, a1, a2, a3 and a4 are preset proportional coefficients, N represents the total number of showcases, M represents the number of adjacent showcases for each showcase, V ij represents the volume of the i-th showcase and the adjacent j-th showcase, V total represents the total volume of the region; The first judgment unit is used to preset a first threshold value X, and compare and analyze the regional distribution index Qyfb with the first threshold value X to generate a first judgment result, including: If the regional distribution index Qyfb> the first threshold value X, it means that the gaps between the showcases are unqualified, the layout is too loose, and the regional utilization rate is unqualified, and a first layout adjustment plan is generated, including: rearranging the showcases, reducing the gaps between the showcases by 10%, adding 20% ​​of the interactive experience area, and increasing the number of showcases and decorations by 10%; If the area distribution index Qyfb = the first threshold value X, it means that the gap between the showcases is acceptable and there is no need to adjust the layout; If the regional distribution index Qyfb is less than the first threshold value X, it means that the gaps between the showcases are unqualified, the layout is too dense, and there is a risk of congestion. A second layout adjustment plan is generated, including: rearranging the showcases, increasing the gap distance between the showcases by 10%, reducing the interactive experience area by 20%, reducing the number of showcases and decorations by 10%, and increasing the guide signs by 10%.

5. According to claim 1, the enterprise digital exhibition and sales architecture management system is characterized by: The real-time crowd flow analysis module includes a real-time crowd flow collection unit, a crowd flow busyness calculation unit and a second judgment unit; The real-time crowd collection unit is used to collect the crowd density Rlmd, crowd speed rlsd, interactive stay time tlsj, noise level zysp and the total number of queued people pdrl in the exhibition monitoring area in real time through laser scanning technology and volume sensor; The busy flow calculation unit is used to extract the crowd density Rlmd, crowd speed rlsd, interactive stay time tlsj, noise level zysp and the total number of queued people outside the area pdrl. After dimensionless processing, the busy flow index Rlzs is calculated by the following formula: Wherein, a5, a6, a7 and a8 represent the preset proportional coefficients of the crowd density Rlmd, the interactive stay time tlsj, the total number of people queuing outside the area pdrl and the crowd speed rlsd respectively; After the busy flow index Rlzs and the regional distribution index Qyfb are dimensionless, they are associated with each other through the following formula to calculate the regional congestion index Ydz: In the formula, C th Indicates the threshold of the number of people that can be accommodated in the exhibition monitoring area.

6. The enterprise digital exhibition and sales architecture management system according to claim 5, characterized in that: The second judgment unit is used to preset a congestion threshold W, and analyze and compare the regional congestion index Ydz with the congestion threshold W to obtain a second judgment result, including: When the regional congestion index Ydz> the congestion threshold W, it indicates that there is a congestion risk in the current exhibition monitoring area, and the first warning instruction is generated. On the basis of the first layout adjustment plan, the number of display cabinets and decorations is reduced by 5%, and the guide signs are increased by 5%. At the same time, 50% of the total number of people queuing outside the area pdrl is guided to the adjacent exhibition monitoring area with a regional congestion index Ydz<the congestion threshold W*70% for browsing; On the basis of the second layout adjustment plan, the gap between the display cabinets is increased by 15%, the interactive experience area is reduced by 20%, the number of display cabinets and decorations is reduced by 15%, and the guide signs are increased by 10%. At the same time, 60% of the total number of people queuing outside the area pdrl is guided to the adjacent exhibition monitoring area with regional congestion index Ydz < congestion threshold W*70% for browsing; When the regional congestion index Ydz ≤ the congestion threshold W, it means that there is no congestion risk in the current exhibition monitoring area and monitoring will continue.

7. The enterprise digital exhibition and sales architecture management system according to claim 1, characterized in that: The analysis module includes establishing a feature extraction unit and an association unit; The feature extraction unit is used to establish an environmental prediction model through neural network technology and after training, extract and analyze the relevant lighting features and environmental features of the conditional data set, and calculate the display cabinet shading ratio zdbl, the display cabinet light incident angle rsjd, the exhibit light reflectivity Zpgz and the exhibit light uniformity Jyd through the following formula: Where Azd represents the total area of ​​the display cabinet blocked in the current exhibition monitoring area, Azmj represents the total display area of ​​the display cabinet, represents the light vector from the light source to the display case surface, represents the normal vector of the display cabinet surface, arccos represents the inverse cosine function, represents the modulus of the light vector, I represents the modulus of the normal vector; fs Indicates the intensity of light reflected from the surface of the exhibit, I rs It represents the intensity of light irradiating the surface of the exhibit, σI represents the standard deviation of the light intensity on the surface of the exhibit, and μI represents the average light intensity on the surface of the exhibit.

8. The enterprise digital exhibition and sales architecture management system according to claim 7, characterized in that: The correlation unit is used to process the display cabinet shielding ratio zdbl, the display cabinet light incident angle rsjd, the exhibit light reflectivity Zpgz and the exhibit light uniformity Jyd dimensionlessly, and generate the light condition index Gztj through the following correlation formula: Wherein, b1, b2, b3 and b4 represent the preset proportional coefficients of the incident angle of the showcase light rsjd, the reflectivity of the exhibit light Zpgz, the uniformity of the exhibit light Jyd and the shielding ratio of the showcase zdbl, respectively, and C1 represents the first correction constant; After the air velocity Kql, air nitrogen dioxide concentration CO2, temperature difference between inside and outside of the showcase Wdc, and humidity difference between inside and outside of the showcase Sdc are dimensionless, the ventilation condition index Tftj is generated through the following correlation formula; Wherein, b5, b6, b7 and b8 represent the preset proportional coefficients of the air nitrogen dioxide concentration CO2, the temperature difference between the inside and outside of the showcase Wdc, the humidity difference between the inside and outside of the showcase Sdc and the air flow rate Kql, respectively, and C2 represents the second correction constant.

9. The enterprise digital exhibition and sales architecture management system according to claim 1, characterized in that: The management module includes an evaluation unit and an environmental strategy unit; The evaluation unit is used to preset a light threshold L and a ventilation threshold Q, and compare the light condition index Gztj in the corresponding exhibition monitoring area with the light threshold L to obtain a first light evaluation result, including: When the light condition index Gztj ≥ the light threshold L, it means that the light condition of the current exhibition monitoring area is qualified, and the existing light setting parameters are maintained; When the light condition index Gztj is less than the light threshold L, it indicates that the light condition in the current exhibition monitoring area is unqualified, and the first light adjustment strategy is generated through the environmental strategy unit to increase the light lumen output by 500-3000, remove the display cabinet obstructions, and optimize the position and angle of the exhibits; The ventilation condition index Tftj in the corresponding exhibition monitoring area is compared and evaluated with the ventilation threshold Q to obtain the second evaluation result: When the ventilation condition index Tftj ≥ ventilation threshold Q, it means that the ventilation condition of the current exhibition monitoring area is qualified, and the existing ventilation equipment and temperature control equipment should be maintained; When the ventilation condition index Tftj is less than the ventilation threshold Q, it indicates that the ventilation conditions in the current exhibition monitoring area are unqualified. The second ventilation adjustment strategy is generated through the environmental strategy unit to increase the wind speed parameters of the ventilation equipment by 20%-30%, and to add 1-3 air purifiers in the current exhibition monitoring area to adjust the temperature difference and humidity difference inside and outside the showcase within the difference threshold range.

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