Digital intelligent exhibition hall management system

Abstract

The invention relates to the technical field of intelligent exhibition halls, and discloses a digital intelligent exhibition hall management system, which comprises the following modules: a user management module for providing basic information and interests and preferences of users; the data acquisition and analysis module is responsible for acquiring behavior data of users and people flow data in an exhibition hall; the content management module is used for preparing a plurality of version contents and a version content switching function for each interaction item in the exhibition hall; the intelligent reminding and selecting module is used for setting a reminding and selecting mechanism; the dynamic version adjusting module is used for automatically adjusting and displaying the version of the interactive content; and the user feedback module continuously optimizes the system. By limiting the interaction time and dynamically adjusting the version, intelligent management can be carried out on the real-time visitor flow, the interaction time and queuing time of tourists in hot areas are reduced, interaction options can be recommended in a personalized mode, the overall operation efficiency of an exhibition hall is improved, and the visiting experience of users is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of smart exhibition halls, and in particular to a digital smart exhibition hall management system. Background Art

[0002] The Digital Smart Exhibition Hall is a display space built using modern information technology and multimedia interactive technologies, designed to provide visitors with a richer, more vivid, and more personalized experience. By integrating various high-tech means, such as virtual reality, augmented reality, holographic projection, and intelligent guide systems, it transforms traditional static displays into dynamic, interactive experiences.

[0003] After searching, the publication number CN113312507A is a digital exhibition hall intelligent management method and system based on the Internet of Things, which obtains user identity information through an identity recognition device; constructs a user identity database based on the user identity information; obtains exhibition hall area division information; obtains area feature information based on the exhibition hall area division information; obtains user feature information based on the user identity information; obtains a matching information set based on the area feature information and the user feature information; obtains an exhibition hall area set based on the matching information set; obtains an exhibition hall area image information set through an image acquisition device; inputs the exhibition hall area image information and the exhibition hall area division information into a population counting model in sequence to obtain regional statistical population; obtains first user guidance information based on the regional statistical population and the exhibition hall area set, which solves the technical problem in the prior art that the unreasonable digital exhibition hall drainage method leads to indoor congestion or uneven distribution of visitors to each booth. However, the above technical solution still has the following shortcomings when used in practice:

[0004] Existing technologies typically use guided routes to disperse the crowds when addressing the long queues of people waiting to visit certain areas of the exhibition hall. However, this approach has significant limitations and potential negative impacts. First, the recommended guided routes may not be suitable for the actual needs and interests of all visitors. For example, visitors may follow the recommended route to visit each exhibition area in sequence, but when they finally reach the interactive experience area that most interests them, their physical strength and interest have been greatly reduced due to the energy consumed during the previous visit, and they are unable to fully experience these key areas, thus affecting their overall visitor experience. Second, many visitors do not follow the recommended route in full, but instead choose a visit route based on their own interests and plans. This leads to queues in some popular areas and even exacerbates local congestion, further reducing visitor satisfaction and experience quality. In addition, this fixed route approach lacks flexibility and cannot dynamically respond to individual differences, which affects the visitor experience. Therefore, simply dispersing the crowd is not enough to address the phenomenon of large numbers of visitors waiting to visit.

[0005] Therefore, it is necessary to design a digital smart exhibition hall management system to solve the above problems. Summary of the Invention

[0006] The purpose of the present invention is to solve the shortcomings of the existing technology and propose a digital smart exhibition hall management system.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions:

[0008] A digital smart exhibition hall management system includes the following modules: a user management module: including user registration and login, interest preference collection and personalization setting units, providing users' basic information and interest preferences; a data collection and analysis module: responsible for collecting users' behavior data and crowd flow data in the exhibition hall, cleaning and standardizing the collected data, and extracting useful features for subsequent recommendations and decisions; a content management module: preparing several versions of content and version content switching functions for each interactive project in the exhibition hall, supporting administrators to add, modify and delete content; an intelligent reminder and selection module: setting reminder and selection mechanisms, and the system automatically selects interactive options for users; a dynamic version adjustment module: automatically adjusting the version of the displayed interactive content according to the real-time crowd flow data provided by the data collection and analysis module; a user feedback module: collecting user feedback and continuously optimizing the system.

[0009] As a preferred technical solution of the present invention, in the intelligent reminder and selection module, the reminder and selection mechanism includes: setting a threshold value T1. When a visitor encounters an option during the interaction process, if the visitor does not make a selection within T1s, the system will briefly introduce each option; setting a threshold value T2. After the system briefly introduces the option, if the visitor still does not make a selection within T2s, the system will automatically select it for the visitor; setting a selection mechanism. The system selects interactive options for the visitor according to the selection mechanism.

[0010] As a preferred technical solution of the present invention, the selection mechanism includes: data preparation: including user historical selection records, user portrait information and interactive option feature information; filtering selected options: taking options that the user has not selected as target options. If there are no options that have not been selected, all options are taken as target options; selection: sorting the screening weights and selecting from the target options according to the sorting.

[0011] As a preferred technical solution of the present invention, the setting of the threshold values T1 and T2 is limited by the flow of people, the age of visitors, the complexity of interactive options and historical selection factors.

[0012] As a preferred technical solution of the present invention, the expressions of the thresholds T1 and T2 are respectively: T1 = η(Tage×γ(N,C)×φ(H)); T2 = T1×ρ; wherein η represents the traffic adjustment factor, Tage represents the basic threshold after the influence of age factors, γ(N,C) represents the complexity adjustment factor of the interaction options, N represents the number of options, C represents the cognitive load, φ(H) represents the historical adjustment factor, H is the number of historical interactions of the user, ρ is the proportional coefficient, and ρ∈(0,1).

[0013] As a preferred technical solution of the present invention, the expressions of the traffic flow adjustment factor η, the basic threshold Tage after the influence of the age factor, the interaction option complexity adjustment factor γ(N, C) and the history adjustment factor φ(H) are respectively: P represents the current number of visitors to the interactive display area; Tage = Tbase + α(Age-Age0), where Tbase is the baseline threshold, α is the adjustment coefficient, Age is the actual age of the current user, and Age0 represents the average age of all users; β1 and β2 are adjustment coefficients, Ci is the cognitive load of the ith option; k is the adjustment coefficient.

[0014] As a preferred technical solution of the present invention, in the content management module, the interactive content versions displayed include: a brief version: containing the most basic information, suitable for quick browsing; a standard version: containing more information than the brief version, suitable for ordinary users to read; a detailed version: providing comprehensive information, suitable for users to study in depth.

[0015] As an optimal technical solution of the present invention, the dynamic version adjustment module includes: a system automatic recommendation version unit: the system automatically adjusts the adapted version according to the current traffic flow; a user customized version selection unit: the user selects the adapted version according to his or her own needs.

[0016] As a preferred technical solution of the present invention, the system automatically recommends versions including: dividing the flow of people into intervals; corresponding the flow of people intervals to the versions of displayed interactive content; monitoring the current flow of people in the display area, dividing it into corresponding flow of people intervals, and then finding the corresponding version of displayed interactive content.

[0017] As a preferred technical solution of the present invention, a selection restriction mechanism is provided in the user-defined selection version unit, and the selection restriction mechanism includes: sorting the versions in order of detailed version, standard version, and brief version; comparing the positions of the system selected version and the user-defined selection version in the sorting; if the user-defined selection version is later than the system selected version in the sorting, then the user-defined selection version is selected; if the user-defined selection version is earlier than the system selected version in the sorting, then the system selected version is selected.

[0018] The present invention has the following beneficial effects:

[0019] 1. Alleviate crowding and queuing: By limiting interaction time and dynamically adjusting versions, the system can intelligently manage real-time visitor flow. During periods of high traffic, the system automatically recommends simplified or standard versions of exhibit content, reducing visitor dwell time in popular areas and avoiding local congestion and queues. This mechanism not only improves the overall operational efficiency of the exhibition hall but also significantly enhances the user experience. It allows for more than just route recommendations and diversion, ensuring that every visitor can smoothly navigate their preferred exhibition area.

[0020] 2. Personalized settings and increased exhibition flexibility: By providing multiple versions for users to choose from, the system allows users to customize their tour routes based on their needs and interests, greatly improving the flexibility and personalized experience of the exhibition. Intelligent reminders and selection mechanisms further shorten users' decision-making time, enhancing their sense of participation and satisfaction. This personalized setting not only meets the needs of different visitors, but also improves the overall user experience and service quality.

[0021] 3. Improve user experience and satisfaction: The system's personalized recommendation function provides customized suggestions based on the user's interests, hobbies, historical behavior and other data to ensure that each visitor can obtain the most suitable tour route and content. This not only improves user participation and satisfaction, but also enables each visitor to fully experience the unique charm of the exhibition hall and enhance the overall visiting experience. In particular, when the system automatically selects options, it will filter out options previously selected by the user. This not only saves system resources, but also increases the freshness and attractiveness of the displayed content. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a system diagram of a digital smart exhibition hall management system proposed by the present invention;

[0023] Figure 2 This is a flowchart of the intelligent reminder and selection module;

[0024] Figure 3 Flowchart of the restriction mechanism in the user-defined selection version unit. DETAILED DESCRIPTION

[0025] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0026] Example 1

[0027] Reference Figure 1-3 , a digital smart exhibition hall management system, including the following modules:

[0028] User management module: includes user registration and login, interest preference collection, and personalized setting unit, providing users' basic information and interest preferences;

[0029] Data collection and analysis module: responsible for collecting user behavior data and exhibition hall traffic data, cleaning and standardizing the collected data, and extracting useful features for subsequent recommendations and decision-making;

[0030] Content management module: Prepare multiple versions of content for each interactive project in the exhibition hall and provide content switching functions between different versions, allowing administrators to easily add, modify, and delete content;

[0031] Intelligent reminder and selection module: Set reminder and selection mechanisms to provide recommended results based on factors such as option popularity, user interests, preferences, and age;

[0032] Dynamic version adjustment module: automatically adjusts the version of displayed content based on the real-time traffic data provided by the data collection and analysis module;

[0033] User feedback module: Provides multiple ways for users to submit feedback, such as online forms, emails, social media links, etc., collects user feedback, and continuously optimizes the feedback system itself based on user feedback.

[0034] In the intelligent reminder and selection module, the reminder and selection mechanism includes:

[0035] Set a threshold T1. When visitors encounter different options during the interaction process and do not select a choice within T1s, the system will briefly introduce each option through various means such as voice broadcast and text display, thereby reminding the visitors.

[0036] Set a threshold T2. After the brief introduction of the system is completed, if the visitor has not made a choice within T2 seconds, the system will automatically select the visitor.

[0037] A selection mechanism is set up, and the system selects interactive options for visitors based on the selection mechanism.

[0038] Example 2

[0039] The intelligent reminder and selection module is further described in detail based on the first embodiment.

[0040] The values of thresholds T1 and T2 are limited by the flow of people, the age of visitors, the complexity of interactive options, and historical selection factors. Specifically:

[0041] T1=η(Tage×γ(N,C)×φ(H));

[0042] Among them, η represents the traffic flow adjustment factor, Tage represents the basic threshold after the influence of age factors, γ(N,C) represents the adjustment factor of the complexity of interaction options, and φ(H) represents the historical adjustment factor.

[0043] T2=T1×ρ, ρ is the proportional coefficient, and ρ∈(0,1). Based on the time of the initial waiting and reminder, the second waiting time is shortened, thereby improving the efficiency of the exhibition.

[0044] Example 3

[0045] The intelligent reminder and selection module is further described in detail based on the second embodiment.

[0046] P represents the current number of visitors to the interactive area of the display;

[0047] Tage = Tbase + α(Age - Age0), where Tbase is the baseline threshold, i.e., the default basic threshold for all users; α is the adjustment coefficient, indicating the impact of each additional or reduced age on the threshold; Age is the user's actual age; and Age0 is the average age of all users. Tbase and Age0 can be calculated based on the average of historical data. For example, if Tbase = 30, α = 0.5, and Age0 = 30, for a 60-year-old user, the calculated Tage is 45, which is 15 seconds higher than the baseline threshold. This means that the 60-year-old user needs 15 seconds longer to select an option.

[0048] N represents the number of options, C represents cognitive load, β1 and β2 are adjustment coefficients, and Ci is the cognitive load of the i-th option;

[0049] k is the adjustment coefficient used to lower the threshold for multiple visitors, and H is the number of historical interactions of the user on the interactive content.

[0050] For example, there is a new user who has never interacted with the display module, who is 40 years old and is participating in an interactive project with 5 options. The cognitive load of each option is [2, 3, 1, 2, 3]. This is the first time the user has visited this interactive content. Set Tbase = 10, α = 0.5, Age0 = 35, β1 = 2, β2 = 0.1, k = 0.1, ρ = 0.7, N = 50, then Tage = 12.5.

[0051] γ(N,C)≈3.8036, φ(H)=1, η≈0.256, T1≈12.172;

[0052] For example, there is a user, aged 50, who is participating in an interactive project with 3 options, the cognitive load of each option is [1, 2, 1], and the user has visited this interactive content 3 times. Set Tbase = 10, α = 0.5, Age0 = 35, β1 = 2, β2 = 0.1, k = 0.1, ρ = 0.7, N = 50, then Tage = 17.5, γ(N, C) ≈ 2.90593, φ(H) = 0.7, η ≈ 0.256, T1 ≈ 19.92.

[0053] This module combines the user's age, the complexity of the interactive content, and historical selection records to provide a personalized experience and improve the system's response efficiency and accuracy. This approach not only optimizes the user experience, making the system more flexible and adaptable to different scenarios, but also can intelligently recommend options based on interest preferences and historical data when the user fails to make a choice in time, thereby significantly improving user participation and satisfaction and effectively alleviating the situation of too many users.

[0054] Example 4

[0055] The intelligent reminder and selection module is further described in detail based on the first embodiment.

[0056] The selection mechanism includes the following steps:

[0057] Data preparation: This includes user selection history; user profile information such as user interests, hobbies, age, and local cultural preferences; and option feature information such as the option's interest tag, popularity rating, recommendation index, suitable age group, and local cultural attributes.

[0058] Filtering selected options: When the system automatically selects options, it first selects from the options that the user has not selected. Specifically, it queries the user's historical selection records in the database or cache to determine the set of options Sselected that the user has selected. From the set of all currently available options Sall, Sselected is excluded, and the set of unselected options Sunselected is obtained as the target options.

[0059] Selection: Match appropriate options in the target option set Sunselected based on weight sorting or comprehensive scoring. If all options have been selected, directly match appropriate options in the option set Sselected.

[0060] Furthermore, the weight ranking includes the following two methods:

[0061] User-defined weight sorting: Users can adjust the priority of each weight through the interface. For example, users can choose to put "interests and hobbies" first and "option popularity" second, etc.

[0062] Automatic weight ranking by the system: The system can automatically adjust the weight ranking based on the user's historical behavior, feedback and other statistical data. For example, the system can analyze the user's click-through rate, dwell time, evaluation and other indicators to determine which factors are more important to the user.

[0063] This selection mechanism can match users with appropriate options and display content, and more accurately recommend content that users may be interested in, thereby increasing user satisfaction. Secondly, it allows users to customize weight priorities, making the recommendation system more flexible and better adapted to the personalized needs of different users. The process of filtering selected options ensures that the system will not repeatedly recommend content that has already been displayed to users. This not only saves system resources, but also improves the freshness and attractiveness of the displayed content.

[0064] Example 5

[0065] The content management module and the dynamic version adjustment module are further described in detail based on the first embodiment.

[0066] In the content management module, the interactive content display versions are divided into multiple categories, including brief version: containing the most basic information, suitable for quick browsing; standard version: containing more information, suitable for general users to read; detailed version: providing comprehensive information, suitable for in-depth research;

[0067] The dynamic version adjustment module includes a system-automatic version recommendation unit. First, the traffic volume is divided into intervals, and different intervals are associated with different versions. Then, the current traffic volume P in the area is calculated and falls into the corresponding interval. The corresponding version is found based on the interval and adjusted. The details are shown in the following table, where P1 and P2 represent the interval division thresholds:

[0068] Traffic Corresponding interval Corresponding version Low traffic 0≤P<P1 Detailed version Medium traffic volume P1≤P<P2 Standard Edition High traffic volume P2≤P Simple version

[0069] Furthermore, the version adjustment module is provided with a user-defined version selection unit, which allows users to select the appropriate version according to their needs. For example, users with limited viewing time can choose the brief version, while users with ample time and who want to learn more about the displayed content can choose the detailed version. The customized version selection unit is also provided with a selection restriction mechanism, specifically including:

[0070] Sort the versions into detailed version, standard version, and brief version;

[0071] The system first adjusts the version based on the flow of people;

[0072] When the version selected by the user is ranked later than the version adjusted by the system, the user can adjust it at will. For example, the system adjusts the interactive content displayed to the detailed version based on the current traffic flow. At this time, the user can adjust it to the standard version or the simplified version according to their own needs.

[0073] When the version selected by the user is higher in the sorting order than the version adjusted by the system, the priority of the system-adjusted version will be higher than the version selected by the user. For example, the system adjusts the interactive content displayed to a brief version based on the current flow of people, and the user cannot select the standard version or the detailed version.

[0074] The simplified or standard version is recommended during high traffic periods, which reduces users' waiting time in the area and improves the overall visiting experience. At the same time, customized adjustments allow users to choose the appropriate version according to their own needs, increasing flexibility in the exhibition interaction process.

[0075] The above description is only a preferred specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any technician familiar with the technical field, within the technical scope disclosed by the present invention, who makes equivalent replacements or changes based on the technical solution and inventive concept of the present invention, should be covered by the scope of protection of the present invention.

Claims

1. A digital smart exhibition hall management system, characterized in that: Includes the following modules: User management module: includes user registration and login, interest preference collection, and personalized setting unit, providing users' basic information and interest preferences; Data collection and analysis module: responsible for collecting user behavior data and exhibition hall traffic data, cleaning and standardizing the collected data, and extracting useful features for subsequent recommendations and decision-making; Content management module: prepares several versions of content for each interactive project in the exhibition hall and provides version content switching functions, supporting administrators to add, modify and delete content; Intelligent reminder and selection module: Set reminder and selection mechanism, and the system automatically selects interactive options for users; Dynamic version adjustment module: automatically adjusts the version of interactive content displayed based on real-time traffic data provided by the data collection and analysis module; User feedback module: collect user feedback and continuously optimize the system.

2. A digital smart exhibition hall management system according to claim 1, characterized in that: In the intelligent reminder and selection module, the reminder and selection mechanism includes: Set a threshold T1. When visitors encounter options during the interaction process and do not select them for more than T1s, the system will briefly introduce each option; Set a threshold T2. After the brief introduction of the system is completed, if the visitor has not made a choice within T2 seconds, the system will automatically select it. A selection mechanism is set up, and the system selects interactive options for visitors based on the selection mechanism.

3. A digital smart exhibition hall management system according to claim 2, characterized in that: The selection mechanism includes: Data preparation: including user historical selection records, user profile information, and interactive option feature information; Filter selected options: Use the options that the user has not selected as the target options. If there are no unselected options, use all options as the target options. Select: Sort the filter weights and select the target options based on the sorting.

4. A digital smart exhibition hall management system according to claim 2, characterized in that: The setting of the threshold values T1 and T2 is limited by the flow of people, the age of visitors, the complexity of interactive options and historical selection factors.

5. A digital smart exhibition hall management system according to claim 4, characterized in that: The expressions of the threshold values T1 and T2 are respectively: T1=η(Tage×γ(N,C)×φ(H)); T2=T1×ρ; Among them, η is the traffic adjustment factor, Tage is the basic threshold after the influence of age factors, γ(N,C) is the adjustment factor of the complexity of interaction options, N is the number of options, C is the cognitive load, φ(H) is the history adjustment factor, H is the number of historical interactions of the user, ρ is the proportional coefficient, and ρ∈(0,1).

6. A digital smart exhibition hall management system according to claim 5, characterized in that: The expressions of the traffic flow adjustment factor η, the basic threshold Tage after the influence of the age factor, the interaction option complexity adjustment factor γ(N,C) and the history adjustment factor φ(H) are respectively: P represents the current number of visitors to the interactive area of the display; Tage = Tbase + α(Age - Age0), where Tbase is the baseline threshold, α is the adjustment coefficient, Age is the actual age of the current user, and Age0 is the average age of all users; β1 and β2 are adjustment coefficients, Ci is the cognitive load of the ith option; k is the adjustment coefficient.

7. A digital smart exhibition hall management system according to claim 1, characterized in that: In the content management module, displaying interactive content versions includes: Brief version: contains the most basic information and is suitable for quick browsing; Standard version: contains more information than the brief version and is suitable for general users; Detailed version: provides comprehensive information, suitable for users to conduct in-depth research.

8. A digital smart exhibition hall management system according to claim 7, characterized in that: The dynamic version adjustment module includes: System automatically recommends version unit: the system automatically adjusts the adapted version based on the current traffic volume; User-defined version selection unit: Users select the appropriate version according to their needs.

9. A digital smart exhibition hall management system according to claim 8, characterized in that: The system automatically recommends version units including: Divide the flow of people into intervals; Match traffic intervals with interactive content versions; Monitor the current flow of people in the display area, divide it into corresponding flow intervals, and then find the corresponding interactive content version for display.

10. A digital smart exhibition hall management system according to claim 9, characterized in that: The user-defined selection version unit is provided with a selection restriction mechanism, which includes: Sort the versions into detailed version, standard version, and brief version; Compare the positions of the system selected version and the user-defined selected version in the sorting; If the user-defined version is later than the system-selected version in the sorting order, the user-defined version is selected; if the user-defined version is earlier than the system-selected version in the sorting order, the system-selected version is selected.

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