Intelligent display content optimization management method and system for mobile exhibition hall

Abstract

The application provides a mobile exhibition hall intelligent display content optimization management method and system, relates to the technical field of content management, acquires use scene information of the mobile exhibition hall, carries out scene investigation and demand analysis according to the use scene information, carries out content planning and modular design according to the scene investigation demand analysis data, carries out content analysis and adaptation according to the planning and module design data, carries out content uploading and auditing according to the content adaptation optimization data, carries out content intelligent publishing and pushing according to the content uploading and auditing data, carries out display management and control adjustment according to the content publishing and pushing data, carries out display data collection and analysis according to the management and control adjustment information, acquires display collection and analysis data, carries out content optimization iteration according to the display collection and analysis data, and acquires content optimization management data. The application realizes accurate adaptation, efficient management and continuous optimization of the display content of the mobile exhibition hall.

Description

Technical Field

[0001] This invention proposes a method and system for optimizing and managing intelligent display content in mobile exhibition halls, which relates to the field of optimization and management technology, specifically to the field of optimizing and managing intelligent display content in mobile exhibition halls. Background Technology

[0002] The current management process for intelligent display content in mobile exhibition halls that are adaptable to multiple scenarios is rudimentary, with incomplete scenario research and inaccurate requirement extraction, resulting in a disconnect between the displayed content and the usage scenarios and the needs of the target audience. Furthermore, content adaptation lacks multi-dimensional consideration, with prominent issues regarding structural load-bearing capacity, device compatibility, and scenario adaptation, posing security risks and resulting in poor display effects. In addition, content review efficiency is low, publishing and push notifications are indiscriminate, control and adjustment are lagging, and there is a lack of a sound optimization and iteration mechanism, making it impossible to dynamically adjust content based on display feedback, leading to high management costs and a poor user experience. Summary of the Invention

[0003] This invention provides a method and system for optimizing and managing intelligent display content in mobile exhibition halls, in order to solve the above-mentioned problems: The present invention proposes an intelligent display content optimization management method and system for mobile exhibition halls, the method comprising: S1. Obtain usage scenario information for the mobile exhibition hall, conduct scenario research and demand analysis based on the usage scenario information, obtain scenario research and demand analysis data, conduct content planning and modular design based on the scenario research and demand analysis data, obtain planning module design data, conduct content analysis and adaptation based on the planning module design data, and obtain content adaptation optimization data. S2. Based on the content adaptation optimization data, review the content upload and obtain the content upload and review data. Based on the content upload and review data, intelligently publish and push the content to obtain the content publishing and push data. Based on the content publishing and push data, adjust the display control and obtain the control and adjustment information. S3. Based on the control and regulation information, collect and analyze the display data to obtain the display collection and analysis data. Based on the display collection and analysis data, optimize and iterate the content to obtain the content optimization management data.

[0004] Furthermore, the system includes: The content adaptation module is used to obtain usage scenario information of the mobile exhibition hall, conduct scenario research and demand analysis based on the usage scenario information, obtain scenario research and demand analysis data, conduct content planning and modular design based on the scenario research and demand analysis data, obtain planning module design data, and conduct content analysis and adaptation based on the planning module design data to obtain content adaptation optimization data. The content push module is used to review content uploads based on content adaptation and optimization data, obtain content upload review data, intelligently publish and push content based on the content upload review data, obtain content publishing and push data, and adjust display control based on the content publishing and push data to obtain control and adjustment information. The content optimization module is used to collect and analyze display data based on control and regulation information, obtain display data collection and analysis data, and perform content optimization iteration based on the display data collection and analysis data to obtain content optimization management data.

[0005] The beneficial effects of this invention are as follows: This method effectively solves the technical problems of poor scene adaptability, cumbersome processes, delayed content updates, and unsatisfactory display effects in traditional mobile exhibition hall content management, realizing standardized and intelligent management of the entire process of intelligent display content in mobile exhibition halls. Through a closed-loop management system, it ensures that the display content is highly aligned with the usage scenarios, equipment conditions, and the needs of the display audience, improving the relevance and adaptability of the display content; it simplifies the entire process from content planning to iteration, reducing manual operation costs and management complexity, and improving content update efficiency and management convenience; through dynamic optimization and iteration, it continuously improves the display effect and user experience, solving the pain points of traditional content management's one-time solution and inability to adapt to multiple scene switching, while strengthening the standardization and traceability of content management, reducing the risk of content violations and adaptation errors, and fully leveraging the flexible display advantages of mobile exhibition halls. Attached Figure Description

[0006] Figure 1 A schematic diagram illustrating the optimized management method for intelligent display content in mobile exhibition halls. Detailed Implementation

[0007] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0008] Example 1 In one embodiment of the present invention, the intelligent display content optimization management method and system for mobile exhibition halls proposed by the present invention includes: S1. Obtain usage scenario information for the mobile exhibition hall, conduct scenario research and demand analysis based on the usage scenario information, obtain scenario research and demand analysis data, conduct content planning and modular design based on the scenario research and demand analysis data, obtain planning module design data, conduct content analysis and adaptation based on the planning module design data, and obtain content adaptation optimization data. S2. Based on the content adaptation optimization data, review the content upload and obtain the content upload and review data. Based on the content upload and review data, intelligently publish and push the content to obtain the content publishing and push data. Based on the content publishing and push data, adjust the display control and obtain the control and adjustment information. S3. Based on the control and adjustment information, collect and analyze the display data to obtain display collection and analysis data. Then, optimize and iterate the content based on this data to obtain content optimization management data, such as... Figure 1 As shown.

[0009] The working principle and technical effects of the above technical solution are as follows: By comprehensively acquiring information on the usage scenarios of mobile exhibition halls, combined with scenario research and demand analysis, content planning, modular design, and multi-dimensional adaptation optimization are completed, laying the foundation for subsequent content upload and review; based on the adaptation optimization data, content upload preparation, dual review, intelligent release push, and real-time control and adjustment are completed to ensure that the displayed content is compliant, adapted, and presented efficiently; various data are collected during the display process, and after in-depth analysis, content optimization and iteration are carried out, forming a complete closed loop of research, planning, adaptation, review, release, control, and iteration, realizing dynamic optimization of content management, relying on intelligent technology support throughout the process, reducing manual intervention, and improving management efficiency.

[0010] This method effectively solves the technical problems of poor scenario adaptability, cumbersome processes, delayed content updates, and unsatisfactory display effects in traditional mobile exhibition hall content management, achieving standardized and intelligent management of the entire process of intelligent display content in mobile exhibition halls. Through a closed-loop management system, it ensures that the display content is highly aligned with the usage scenarios, equipment conditions, and the needs of the target audience, improving the relevance and adaptability of the content; it simplifies the entire process from content planning to iteration, reducing manual operation costs and management complexity, and improving content update efficiency and management convenience; through dynamic optimization and iteration, it continuously improves display effects and user experience, addressing the pain points of traditional content management's one-size-fits-all approach and inability to adapt to multiple scenario switching, while strengthening the standardization and traceability of content management, reducing the risk of content violations and adaptation errors, and fully leveraging the flexible display advantages of mobile exhibition halls.

[0011] In one embodiment of the present invention, S1 includes: Obtain scenario information through multiple channels to acquire channel scenario information; The information obtained from channel scenarios is classified into multiple dimensions to obtain information on the usage scenarios of mobile showrooms; The research plan is determined based on the usage scenario information of the mobile exhibition hall. Scenario research is then conducted based on the research plan to obtain scenario research information. Based on the scenario survey information, the core requirements are extracted and organized to obtain the requirement extraction and organization data; Based on the requirements, extract and organize the data, perform data verification and output, and obtain scenario survey and requirements analysis data. Based on the scenario survey and demand analysis data, core content positioning is determined to obtain core content positioning information; Based on the core content positioning information, content modules are divided to obtain content module division data; Based on the data divided into content modules, we plan the content presentation format to obtain content presentation format planning data. Based on the content presentation format, the planning data is used to standardize module design, design module relationships, design module priorities, and organize and archive the data to obtain planning module design data. Based on the design data from the planning module, structural adaptation analysis, device adaptation analysis, and scenario adaptation analysis are performed to obtain content adaptation analysis data. Based on the content adaptation analysis data, structural adaptation optimization, device adaptation optimization, and scenario adaptation optimization are performed to obtain content adaptation optimization data.

[0012] The working principle and technical effects of the above technical solution are as follows: A progressive and detailed process, from scene information acquisition to content adaptation optimization, ensures that content planning and design align with the characteristics and actual needs of the mobile exhibition hall. This involves comprehensively acquiring various scene information through multiple channels to form channel scene acquisition information; subsequently, the acquired scene information is categorized in multiple dimensions to clearly identify mobile exhibition hall usage scenarios; based on this scenario information, a targeted research plan is developed, scene research is conducted, and scene research information is acquired; core requirements are extracted and organized from the research information, and after data verification, scene research requirement analysis data is output; based on this data, core content positioning, content module division, and content presentation format planning are completed, followed by module standardization, correlation, priority design, and archiving to form planning module design data; finally, adaptation analysis is conducted on the planning module design data from three dimensions: structure, equipment, and scene, to identify adaptation problems and carry out targeted optimization, ultimately obtaining content adaptation optimization data.

[0013] This method addresses the technical problems of traditional mobile exhibition hall content planning, such as its blind spots, poor adaptability, and non-standardized module design, achieving precision and standardization in content planning and modular design. By acquiring scene information through multiple channels and classifying it in multiple dimensions, it avoids omissions or clutter in scene information, improving its completeness and usability. Scene research and demand analysis ensure that content planning aligns with actual scene needs and the demands of the exhibitors, reducing the risk of content being out of sync with requirements. Modular design and multi-dimensional adaptation optimization of structure, equipment, and scenes enable the exhibit content to adapt to the detachable and movable characteristics of mobile exhibition halls, solving the pain point of traditional content's inflexibility in adapting to different venues and equipment, and improving content adaptability and flexibility. Standardized and interconnected module design simplifies the content update and replacement process, reduces the complexity of content management, and improves the efficiency of the entire management process, including content review.

[0014] In one embodiment of the present invention, the step of extracting and organizing core requirements based on scenario survey information to obtain requirement extraction and organization data includes: The scenario survey information is classified in multiple dimensions to obtain multi-dimensional classified data; Keyword extraction is performed on multi-dimensional categorized data to obtain keyword extraction information; By functionally associating and filtering the extracted keyword information with the mobile exhibition hall, we can obtain the filtering requirements. Based on the associated filtering information, the filtering requirements are prioritized to obtain the requirement priority ranking information. Based on priority sorting information, the format of the required information is standardized and summarized to obtain the extracted and organized data.

[0015] This involves classifying the scenario survey information into multiple dimensions to obtain multi-dimensional classification data, including: Based on four core principles—scenario adaptability, demand relevance, security and compliance, and operational feasibility—we ensure that the categorized data not only fits the characteristics of the mobile exhibition hall but also directly serves the extraction of core needs, avoiding redundant or irrelevant categorization.

[0016] Construct a four-tier classification system, clearly defining the classification criteria, content scope, and data format for each tier to ensure no overlap or omission in the classifications: The basic dimension of the scenario covers the core parameters of the mobile exhibition hall usage scenario, including key information such as venue type, venue specifications, and usage duration. After being classified, the basic data of the scenario is formed and recorded in a standardized form, clarifying the specific details of each parameter.

[0017] The display object dimension is categorized by identity type, demand tendency, and interaction habit, covering the core characteristics of various display objects. After categorization, display object characteristic data is formed, and the core demand direction of each type of object is marked.

[0018] The content requirements dimension is categorized by the type of content to be displayed, covering the core categories of various types of content, clarifying the core demands of each type of content, distinguishing different priorities of content to be displayed, and forming content requirements classification data.

[0019] The safety and compliance dimension covers relevant regulations such as site safety standards, content compliance requirements, and structural safety requirements, forming safety and compliance classification data to provide a compliance basis for subsequent content optimization.

[0020] Cross-validation of the four-level classification data is performed to remove duplicate information and fill in missing data. The data is then organized and archived using a standardized format to form clear and directly accessible multi-dimensional classification data. This ensures the accuracy of subsequent keyword extraction and solves the pain points of traditional classification being crude and data being messy.

[0021] The working principle and technical effects of the above technical solution are as follows: Through a standardized and systematic process, core requirements are accurately extracted from scenario survey information, ensuring the accuracy, completeness, and practicality of the extracted requirements. Based on four core principles—scenario adaptability, requirement relevance, security compliance, and operational feasibility—scenario survey information is classified into four levels, constructing a classification system encompassing scenario foundation, display objects, content requirements, and security compliance. This ensures no overlap or omission in classification and eliminates redundant and irrelevant information. Subsequently, keyword extraction is performed on the classified multi-dimensional data to capture core information. The extracted keywords are then correlated with the functions of the mobile exhibition hall, eliminating requirements unrelated to the exhibition hall's functions and retaining the filtered requirements information that aligns with the intelligent display of the exhibition hall. Based on the correlation and filtering results, the filtered requirements information is prioritized, clarifying core essential requirements, important optimization requirements, and auxiliary improvement requirements. Finally, the sorted requirements information is formatted and summarized to form standardized, directly callable requirements extraction and organization data.

[0022] This method addresses the technical problems of traditional demand extraction processes, such as being crude, disorganized in classification, inaccurate in demand information, and disconnected from exhibition hall functions. It achieves precise extraction and standardized organization of core demands. Through clear classification principles and a four-layer classification system, it solves the pain points of traditional survey information being disorganized and redundant, improving the utilization rate of survey information and the accuracy of demand extraction. Keyword extraction and function-related filtering effectively eliminate irrelevant demands, ensuring that the extracted demands align with the intelligent display functions of the mobile exhibition hall and reducing the interference of invalid demands on subsequent content planning. Demand prioritization clarifies the importance and urgency of demands, ensuring that core demands are implemented first and avoiding resource waste. Standardized formatting and aggregation make demand data more standardized and clear, facilitating data verification and content planning, improving the efficiency and relevance of content planning, and ensuring a high degree of matching between content and demands.

[0023] In one embodiment of the present invention, the step of performing structural adaptation optimization, device adaptation optimization, and scene adaptation optimization based on content adaptation analysis data to obtain content adaptation optimization data includes: Based on the content adaptation analysis data, the heavy display modules that exceeded the load-bearing limit were adjusted by replacing them with lightweight materials and splitting the modules. The module size and installation position were adjusted to obtain structural adaptation optimization data. Based on content adaptation analysis data, the module content format is converted in batches, the content loading speed is adjusted by compression methods, the multi-terminal synchronization function of the intelligent display system is adjusted, and device adaptation optimization data is obtained. Based on content adaptation analysis data, the module combination scheme is adjusted, the content presentation format is adjusted, and the intelligent energy monitoring platform is linked to adjust the content energy consumption distribution to obtain scene adaptation optimization data. The structure adaptation optimization data, device adaptation optimization data, and scene adaptation optimization data are summarized and organized to obtain content adaptation optimization data.

[0024] Among these measures, based on content adaptation analysis data, heavy-duty display modules exceeding load-bearing limits were adjusted by replacing them with lightweight materials and disassembling the modules. The module dimensions and installation positions were adjusted to obtain structural adaptation optimization data, including: By relying on building structure safety analysis software, the structural parameters of the mobile exhibition hall and the relevant data of the display modules are imported. Through software simulation analysis, the heavy modules with excessive load-bearing capacity are accurately located, the excessive conditions, locations and scope of impact are identified, a structural adaptation problem analysis report is generated, and the core optimization points are marked.

[0025] For heavy modules that exceed load-bearing limits, suitable aerospace-grade lightweight aluminum alloy material is selected. This material has the advantages of being lightweight, high-strength, corrosion-resistant, and easy to process, making it suitable for outdoor use and frequent disassembly and assembly in mobile exhibition halls. During the replacement process, a modular splicing process is adopted to ensure the sealing and stability of the module after material replacement, and to avoid module loosening or deformation caused by the lightweight material.

[0026] Combining the internal spatial layout and detachable structure of the mobile exhibition hall, the single heavy module is disassembled into multiple small independent modules. After disassembly, the load-bearing capacity of each module meets the rated load-bearing requirements of the mobile exhibition hall. The core display function of the module is retained during disassembly. A quick splicing interface design is adopted to ensure that the modules can be displayed individually or in combination after disassembly without affecting the continuity of the content. At the same time, it is easy to transport, disassemble and assemble, and adapt to the needs of switching between multiple scenarios of the mobile exhibition hall.

[0027] Based on the dimensions of the disassembled modules and the internal spatial layout of the mobile exhibition hall, the installation location was optimized to avoid evacuation routes and areas with weak load-bearing capacity. Adjustable fixing brackets were used to ensure that the modules were installed firmly, while reserving space for disassembly and assembly to facilitate quick adjustments when switching scenes later. After adjustment, structural stress simulation tests were conducted to verify the stability of the modules after installation, ensuring that there was no loosening or safety hazards during movement and vibration.

[0028] Record information related to material replacement, module splitting, installation position adjustment details, and stress test results to form structural adaptation and optimization data, and clarify the relevant comparisons before and after optimization.

[0029] The working principle and technical effects of the above technical solution are as follows: Addressing the adaptation issues identified in the content adaptation analysis data, targeted optimizations are carried out from three dimensions: structure, equipment, and scenario. Through multiple optimization measures, it is ensured that the displayed content fully adapts to the structural characteristics, equipment conditions, and usage scenarios of the mobile exhibition hall, ultimately forming optimized content adaptation data. Regarding structural adaptation issues, relying on building structure safety analysis software, heavy-duty display modules exceeding load-bearing limits are accurately located. Through measures such as lightweight material replacement, module disassembly, and adjustments to size and installation location, structural load-bearing safety hazards are resolved, ensuring that the modules adapt to the structural requirements of the mobile exhibition hall. Secondly, regarding equipment adaptation issues, content formats are converted in batches, content loading speed is optimized, and multi-terminal synchronization functions are adjusted to ensure that the content can be presented normally on various display devices. Finally, regarding scenario adaptation issues, module combination schemes are adjusted, content presentation formats are optimized, and energy consumption distribution is adjusted in conjunction with an intelligent energy monitoring platform to ensure that the content adapts to the needs of different usage scenarios. The optimization data from these three dimensions are summarized and organized to form complete optimized content adaptation data.

[0030] This method addresses the technical challenges of traditional mobile exhibition halls, such as single-dimensional content adaptation, poor adaptability, security vulnerabilities, and inability to adapt to multiple scenarios. It achieves precise multi-dimensional content adaptation. In structural adaptation optimization, lightweight material replacement and module disassembly not only resolve the safety hazards of excessive load-bearing capacity in heavy modules but also improve the ease of module assembly and disassembly, adapting to the mobile exhibition hall's mobility and frequent scene switching characteristics, reducing the difficulty and cost of module transportation and disassembly. Device adaptation optimization resolves pain points such as incompatible content formats, loading lag, and multi-terminal synchronization anomalies, improving the smoothness and stability of content playback and ensuring consistent display effects across different devices. Scene adaptation optimization enables content to flexibly adapt to the needs of different venues and display objects, improving the content's relevance and display effect. The combination of multi-dimensional adaptation optimization completely solves the problem of incomplete content adaptation in traditional methods, ensuring that content meets structural safety and device compatibility requirements while also fitting scenario needs, thereby enhancing the professionalism and security of the mobile exhibition hall.

[0031] In one embodiment of the present invention, S2 includes: Prepare for content upload based on content adaptation and optimization data, and obtain content upload preparation data; Based on the uploaded content, a dual review process is conducted to obtain the dual review data. Based on the dual-review data, review anomaly handling is performed to obtain review anomaly handling data; Based on the handling of review exceptions, organize the content upload review data to obtain the content upload review data; Based on the content upload review data, configure content publishing settings to obtain content publishing settings information; Based on the content publishing settings, intelligently publish, push, and organize content to obtain content publishing and push data; Real-time status monitoring is performed based on content publishing and push data to obtain status monitoring data; Dynamic control and adjustment are performed based on status monitoring data to obtain dynamic control and adjustment data. Record, review, and organize dynamic control and adjustment data to obtain control and adjustment information.

[0032] The working principle and technical effects of the above technical solution are as follows: Based on content adaptation and optimization data, a full-process management system is constructed, encompassing upload preparation, dual review, anomaly handling, publishing and push notifications, and control and adjustment, ensuring compliant, efficient, and accurate content presentation. First, based on the content adaptation and optimization data output by S1, various preparatory work is carried out before content upload, forming content upload preparation data. A dual review process is conducted based on this data, performing content review and technical review respectively, obtaining dual review data. For anomalies discovered during the review process, targeted handling is carried out, forming anomaly handling data. The review results and anomaly handling situations are organized to obtain content upload review data. Based on the approved data, content publishing-related settings are configured, forming content publishing settings information. Based on this settings information, intelligent content publishing, accurate push notifications, and related organization are completed, obtaining content publishing and push notification data. The status of content publishing and push notifications is monitored in real time, obtaining status monitoring data. Dynamic control and adjustment are performed based on the monitoring data, forming dynamic control and adjustment data. The control and adjustment situation is recorded, reviewed, and organized, ultimately obtaining control and adjustment information.

[0033] This method addresses the technical problems of traditional mobile exhibition hall content publishing, such as lax review processes, low publishing efficiency, inaccurate push notifications, and lagging management, achieving intelligent, standardized, and precise content publishing and push notifications. The dual review process balances content compliance and technical compatibility, reducing the risk of content violations and technical incompatibility errors, and enhancing the rigor of content review. The review anomaly handling mechanism ensures timely rectification of issues discovered during review, avoiding impacts on content publishing progress and improving review efficiency. Intelligent publishing and precise push notifications solve the pain points of traditional uniform publishing and indiscriminate push notifications, improving the relevance of content display and user experience. Real-time monitoring and dynamic control adjustments can promptly detect and resolve anomalies during content publishing and push notifications, ensuring a smooth display process and reducing the incidence of display failures. The end-to-end process management simplifies the operation of content publishing and push notifications, reduces manual control costs, improves management efficiency, and adapts to the needs of rapid content updates and multi-scenario display in mobile exhibition halls.

[0034] In one embodiment of the present invention, the process of performing a dual review based on content upload preparation data to obtain dual review data includes: The content upload preparation data undergoes a first content review to obtain the first review data. A second technical review is conducted on the content upload preparation data to obtain the second review data; The first and second audit data are integrated to obtain dual audit data.

[0035] This includes conducting a second technical review of the content upload preparation data to obtain the second review data, including: Enable the automatic verification module in the backend of the intelligent display system, import relevant standards and specifications from the content adaptation and optimization data, set verification requirements, and ensure the accuracy of automatic verification.

[0036] It automatically identifies the file format of the module content, compares it with preset format standards, automatically marks incompatible content, and generates a format verification report.

[0037] The system automatically reads the size parameters of the module content, compares them with the preset size standards, marks content that does not match the size, and provides targeted adjustment suggestions.

[0038] The intelligent display system simulates different network environments to test the loading speed of module content, automatically marks content with unsatisfactory loading speed, and automatically optimizes it using an intelligent compression algorithm. After optimization, it is verified again to ensure that the loading speed meets the requirements.

[0039] It integrates with building structure safety analysis software, automatically imports relevant module data, simulates stress conditions, automatically marks unreasonable installation locations and excessive load-bearing capacity, and generates safety verification warnings.

[0040] Technical personnel focused on the abnormal content marked by the intelligent automatic verification system and core business modules, conducting a comprehensive and key review. They paid special attention to checking details that the automatic verification failed to identify, the security details of module installation, and the actual test results of the multi-terminal synchronization function, ensuring that the review was thorough and without any omissions or deviations.

[0041] Technical staff record the review results, mark the approved content with relevant labels, and mark the problem type and rectification suggestions for the unapproved content, forming a second review data; at the same time, the review anomaly information is fed back to the content management personnel to ensure that the content can be quickly resubmitted for review after rectification, thereby improving review efficiency and adapting to the needs of rapid content updates in the mobile exhibition hall.

[0042] The working principle and technical effects of the above technical solution are as follows: By combining intelligent automatic verification with key manual review, the accuracy and efficiency of the review are ensured, providing security, compliance, and compatibility guarantees for content publishing. The first layer of content review is conducted on the data prepared for content upload, verifying the compliance, accuracy, and relevance of the content to obtain first-level review data. Subsequently, a second layer of technical review is carried out. An automatic verification module is activated in the intelligent display system backend, importing relevant standards and specifications to automatically verify the content's format, size, loading speed, and installation security from multiple dimensions, marking abnormal content and generating a verification report. Technical personnel focus on the abnormal content and core business modules identified by automatic verification, conducting a comprehensive and key review, verifying details and multi-terminal synchronization effects, recording the review results, and marking the problem type and rectification suggestions to obtain second-level review data. Finally, the first and second-level review data are integrated to form complete dual-review data.

[0043] This method solves the technical problems of traditional content review, which is purely manual, inefficient, incomplete, and prone to overlooking details, achieving an intelligent, efficient, and rigorous review process. The dual review system separates content compliance and technical compatibility reviews, clearly defining responsibilities and avoiding the limitations of single-review, thus improving the comprehensiveness of the review. The intelligent automatic verification function replaces some tedious manual verification work, reducing manual operation costs, improving review efficiency, and decreasing the error rate of manual verification. Manual key reviews focus on abnormal content and core modules, ensuring no omissions or deviations, improving the accuracy of the review. Detailed recording and feedback of review results facilitate timely rectification by content management personnel, shortening the review cycle, improving content update efficiency, and adapting to the rapid update needs of mobile exhibition hall content. The fully traceable review process reduces the risk of content violations and technical failures.

[0044] In one embodiment of the present invention, the step of intelligently publishing, pushing, and organizing content based on content publishing settings information to obtain content publishing and pushing data includes: The system backend inputs content publishing settings to obtain intelligent content publishing information; Based on the intelligent content publishing information and the object's identity and behavior data, push data is segmented to obtain intelligent content push data; Based on intelligent content push data, multi-terminal synchronous management is implemented to obtain push status information and adjust push feedback. Based on the feedback from the push notifications, we adjust, organize, and standardize the data to obtain the content publishing and push notification data.

[0045] Among them, content intelligent push data is obtained by combining intelligent content publishing information with object identity and behavior data for push segmentation, including: Based on the data of the display objects collected by the intelligent display system, the algorithm model is used to cluster the audience. Combined with identity type and behavioral data, various core groups are divided, the push priority of each group is clarified, and the push resources are tilted towards the core groups.

[0046] We develop customized push notification content and formats to meet the specific needs of different user groups, ensuring that the content aligns with their requirements and the format suits their preferences. Push product-related core content, customized solutions, past cooperation cases and related preferential policies, mainly in the form of intuitive and easy-to-understand short videos and case manuals, and support convenient download and consultation functions.

[0047] It pushes out technological research and development results, module design logic, structural adaptation and optimization solutions, and industry technology trends, mainly in the form of professional technical documents and animated demonstrations, and supports technical exchange and interaction functions.

[0048] The exhibition hall will be presented with compliance-related reports, social benefit case studies, and safety assurance plans, primarily in the form of standardized text and graphic reports and compliance explanations, emphasizing standardization and rigor.

[0049] Promote brands, showcase exhibition highlights, and offer interactive experiences, primarily through engaging short videos and mini-games to enhance participation and overall experience.

[0050] The intelligent display system collects and pushes relevant feedback information in real time, including content clicks, dwell time, interactive operations, push skipping, and other related information, establishes a feedback information ledger, and updates the feedback content in a timely manner.

[0051] Based on feedback, the algorithm model automatically adjusts the push frequency and content. Popular push content is pushed more frequently and related content is added. Unpopular push content is pushed less frequently or the content is replaced and the presentation format is adjusted. Push content without interaction is paused, the reasons are analyzed, and after rectification, it is retested.

[0052] The data on audience segmentation, differentiated push strategies, feedback information, and adjustment records are compiled and organized to form intelligent content push data, and the push effect of each audience group is marked.

[0053] The working principle and technical effects of the above technical solution are as follows: Based on the content publishing settings, combined with the identity and behavioral data of the displayed objects, intelligent content publishing, precise push, and dynamic optimization are achieved to ensure that content push meets the needs of different groups and improves the display effect. According to the content publishing settings, relevant parameters are entered in the display system backend to achieve intelligent content publishing and obtain intelligent content publishing information; based on this information, combined with the identity and behavioral data of the displayed objects collected by the intelligent display system, the system uses an algorithm model to cluster the audience, classify various core groups, and clarify the push priority; differentiated push content and formats are formulated according to the needs of different groups to carry out precise push and obtain intelligent content push data; the push process is synchronously controlled across multiple terminals, and push status information and feedback data are collected in real time, with dynamic adjustments made based on the feedback; the push-related data is organized and standardized to finally obtain content publishing and push data.

[0054] This method addresses the technical problems of traditional mobile exhibition hall content delivery, including indiscriminate delivery, poor targeting, unsatisfactory user experience, and unreliable delivery effectiveness. It achieves precise, intelligent, and dynamically optimized content delivery. Precise audience segmentation and differentiated delivery schemes ensure that delivered content matches the needs of different target audiences, avoiding ineffective deliveries and improving the relevance of content display and user experience. Multi-terminal synchronous management solves the pain point of content asynchrony across different terminals, ensuring consistency of displayed content and enhancing the professionalism of the presentation. A push feedback adjustment mechanism allows for timely adjustments to push strategies, optimizing push content and frequency, improving delivery effectiveness, and reducing waste of push resources. Standardized data processing enhances the management standardization of content publishing and delivery, fully leveraging the advantages of intelligent mobile exhibition hall displays and increasing the attractiveness and influence of the displayed content.

[0055] In one embodiment of the present invention, S3 includes: Based on the control and regulation information, multi-dimensional data collection, processing, and cleaning are carried out to obtain the collected and processed data; Perform in-depth data analysis on the collected data to obtain in-depth data analysis information; Organize and process the collected and analyzed data through in-depth analysis. Based on the collected and analyzed data, content optimization and iterative planning are carried out to obtain optimization and iterative planning information; Based on the optimization iteration plan information, multi-dimensional content optimization processing is performed to obtain content optimization processing information; Based on the content optimization information, optimize the management methods to obtain management method optimization information; Based on the management methods, optimize and iterate the information processing, conduct tests and verifications, and obtain test and verification information. Based on the test verification information, content optimization management data is compiled to obtain content optimization management data.

[0056] The working principle and technical effects of the above technical solution are as follows: Based on the output control and regulation information, continuous iterative upgrades of the displayed content and management methods are achieved through data collection and analysis and multi-dimensional content optimization, forming a closed-loop optimization. According to the control and regulation information, various types of data in the display process are collected, organized, and cleaned in multiple dimensions to remove redundant and erroneous data, obtaining collected and organized data; the collected and organized data are then subjected to in-depth analysis to uncover patterns and problems behind the data, obtaining in-depth data analysis information; this in-depth analysis information is then organized to form collected and analyzed data; based on this data, a content optimization iteration plan is formulated, obtaining optimization iteration plan information; according to the plan information, multi-dimensional content optimization processing is carried out, obtaining content optimization processing information; combined with the content optimization processing information, the entire management method is optimized and adjusted, obtaining management method optimization processing information; the optimized management method and content are tested and verified, obtaining test verification information; finally, the test verification information is organized to form content optimization management data, completing one optimization iteration.

[0057] This method addresses the technical problems of traditional mobile exhibition hall content management, such as the lack of an iterative mechanism, the inability to continuously optimize content, and rigid management methods. It achieves dynamic closed-loop optimization of content and management methods. Multi-dimensional data collection and in-depth analysis can accurately identify problems and deficiencies in the display process, providing a reliable basis for optimization iteration and avoiding blind optimization. Multi-dimensional content optimization processing can specifically solve problems such as inefficiency, redundancy, and insufficient adaptability of content, continuously improving the quality and relevance of the displayed content. The synchronous optimization of management methods makes the entire management process more complete and efficient, reducing management complexity and labor costs. Optimization iteration testing and verification ensure that the optimized content and management methods can adapt to the characteristics and needs of mobile exhibition halls, improving the effectiveness of optimization. The closed-loop iteration mechanism realizes a continuous cycle of collection, analysis, optimization, and verification, enabling the displayed content and management methods to continuously adapt to changes in multiple scenarios and the needs of the displayed objects, continuously improving the display effect and management efficiency, and further leveraging the flexible display advantages of mobile exhibition halls.

[0058] In one embodiment of the present invention, the step of performing multi-dimensional content optimization processing based on optimization iteration planning information to obtain content optimization processing information includes: By combining optimized iterative planning information with collected and analyzed data, we can identify and process playback counts, interaction rates, and inefficient content to obtain content optimization information. Data focus identification is performed on content optimization information to obtain focus identification data, and content enhancement processing is performed on the focus identification data to obtain content enhancement information; Add interactive modules to enhance the presentation of content information to obtain format-enhancing information; Based on the enhanced information and the equipment and structural data collected and analyzed, the module content format and size were optimized, the installation-related content was adjusted, and the intelligent energy monitoring platform was linked to regulate energy consumption distribution. The entire optimization process involves collecting, comparing, and summarizing parameters to generate content optimization processing information.

[0059] Specifically, by combining optimized iterative planning information with collected and analyzed data, playback counts, interaction rates, and inefficient content are identified and processed to obtain content optimization information, including: Based on the collected and analyzed data, an inefficient content filtering model was built, and multiple filtering requirements were set to ensure the accuracy of the filtering and avoid the accidental deletion of core content. At the same time, exception rules were set to provide special protection for core modules.

[0060] Inefficient content identified by the screening model is categorized into redundant content and content that can be simplified, and then processed and optimized accordingly. Modules that have no practical display value or are irrelevant to core needs will be completely deleted. At the same time, the corresponding content files in the intelligent display system backend will be deleted to free up system storage space and improve system running speed.

[0061] For modules with complex but core value, precise simplification is carried out, retaining core information while removing redundant descriptions, outdated examples, and repetitive content. Long texts are condensed into concise and easy-to-understand expressions, supplemented with pictures and charts to ensure that the simplified content is clear and concise, without affecting the integrity of the core information.

[0062] Organize small-scale tests on various target display objects, record the test objects' dwell time, interaction and other related information, compare the display effects before and after simplification, confirm the effective content of the simplification, and return the problematic content for adjustment and re-optimization.

[0063] Record the relevant information of modules before and after simplification, the specific content deleted / simplified, and the test verification results to form content simplification and optimization information. Incorporate the content optimization information and form a replicable inefficient content simplification solution to adapt to the content iteration needs of mobile exhibition halls in multiple scenarios.

[0064] The working principle and technical effects of the above technical solution are as follows: Based on optimized iterative planning information and collected and analyzed data, through multi-dimensional measures such as inefficient content identification and processing, core content enhancement, presentation optimization, and adaptation upgrades, precise content optimization is achieved, while testing and data archiving are implemented. Based on the collected and analyzed data, an inefficient content screening model is built, setting multiple screening requirements and exception rules to accurately identify inefficient content and categorize it into redundant and simplifiable content. Redundant content is completely deleted to release system resources, while simplifiable content is precisely simplified, retaining core information and removing redundant parts. Small-scale tests are conducted on various target display objects to compare the display effects before and after simplification, verifying and adjusting the optimized content. Relevant situations and test verification results before and after simplification are recorded to form content simplification and optimization information, which is then incorporated into the content optimization information. Simultaneously, combined with equipment and structural data from the collected and analyzed data, the module content format and size are optimized, installation-related content is adjusted, and energy consumption allocation is adjusted in conjunction with the intelligent energy monitoring platform. The entire optimization process is recorded and summarized, ultimately generating content optimization processing information.

[0065] This method addresses the technical challenges of traditional content optimization, including subjective human judgment, inaccurate identification of inefficient content, incomplete optimization, and easy loss of core information. It achieves precise and multi-dimensional content optimization. The inefficient content filtering model avoids biases from subjective human judgment, ensuring accurate identification of inefficient content. Exception rules protect core modules and prevent accidental deletion of key information. Redundant content removal frees up system storage space, improves the operating speed of the intelligent display system, and reduces system load. Simplified content optimization removes redundant information, making the content more concise and clear, improving display efficiency and user experience, while retaining core information to ensure the display effect is not affected. Small-scale testing and verification ensure that the optimized content meets the needs of the target audience, improving the effectiveness of the optimization.

[0066] According to one embodiment of the present invention, the system includes: The content adaptation module is used to obtain usage scenario information of the mobile exhibition hall, conduct scenario research and demand analysis based on the usage scenario information, obtain scenario research and demand analysis data, conduct content planning and modular design based on the scenario research and demand analysis data, obtain planning module design data, and conduct content analysis and adaptation based on the planning module design data to obtain content adaptation optimization data. The content push module is used to review content uploads based on content adaptation and optimization data, obtain content upload review data, intelligently publish and push content based on the content upload review data, obtain content publishing and push data, and adjust display control based on the content publishing and push data to obtain control and adjustment information. The content optimization module is used to collect and analyze display data based on control and regulation information, obtain display data collection and analysis data, and perform content optimization iteration based on the display data collection and analysis data to obtain content optimization management data.

[0067] The working principle and technical effects of the above technical solution are as follows: By comprehensively acquiring information on the usage scenarios of mobile exhibition halls, combined with scenario research and demand analysis, content planning, modular design, and multi-dimensional adaptation optimization are completed, laying the foundation for subsequent content upload and review; based on the adaptation optimization data, content upload preparation, dual review, intelligent release push, and real-time control and adjustment are completed to ensure that the displayed content is compliant, adapted, and presented efficiently; various data are collected during the display process, and after in-depth analysis, content optimization and iteration are carried out, forming a complete closed loop of research, planning, adaptation, review, release, control, and iteration, realizing dynamic optimization of content management, relying on intelligent technology support throughout the process, reducing manual intervention, and improving management efficiency.

[0068] This system effectively solves the technical problems of poor scenario adaptability, cumbersome processes, delayed content updates, and unsatisfactory display effects in traditional mobile exhibition hall content management, achieving standardized and intelligent management of the entire process of mobile exhibition hall intelligent display content. Through a closed-loop management system, it ensures that the display content is highly aligned with the usage scenarios, equipment conditions, and the needs of the target audience, improving the relevance and adaptability of the content; it simplifies the entire process from content planning to iteration, reducing manual operation costs and management complexity, and improving content update efficiency and management convenience; through dynamic optimization and iteration, it continuously improves display effects and user experience, solving the pain points of traditional content management's one-size-fits-all approach and inability to adapt to multiple scenario switching, while strengthening the standardization and traceability of content management, reducing the risk of content violations and adaptation errors, and fully leveraging the flexible display advantages of mobile exhibition halls.

[0069] Example 2 In one embodiment of the present invention, based on Embodiment 1, to further address the issue of how to dynamically identify truly inefficient content and key content that should be retained when there are contradictions among multi-dimensional display effect indicators such as playback count, dwell time, interaction rate, and skip rate, and when core modules cannot be mistakenly deleted, thereby reducing the false deletion rate and false judgment rate in inefficient content screening and improving the accuracy and interpretability of content optimization iteration, the process of identifying and processing inefficient content based on optimization iteration planning information combined with collected and analyzed data is further optimized. Specifically, it includes steps S1-S6.

[0070] S1. Collect, organize, and clean multi-dimensional data based on control and regulation information to obtain collected and organized data; S2. Perform in-depth data analysis on the collected and organized data to obtain in-depth data analysis information, organize the in-depth data analysis information to obtain collected and analyzed data, and perform content optimization and iterative planning based on the collected and analyzed data to obtain optimization and iterative planning information. S3. Based on the optimization and iteration planning information and the collected and analyzed data, the playback count, dwell time, interaction rate and skip rate of each display module are statistically analyzed. Combined with the core content positioning information, module priority design data, requirement priority sorting information and exception rules, a set of modules to be judged is constructed. S1-S3 are the same as in Example 1.

[0071] S4. For each display module in the set of modules to be judged, calculate the inefficiency conflict value of each display module to obtain the module inefficiency conflict analysis data. S5. For each display module in the set of modules to be judged, calculate the core retention value of each display module and obtain the core retention analysis data of the module. S6. Based on the inefficiency conflict value and core retention value of each display module, generate the corresponding optimization judgment value for each display module, and output deletion processing, simplification processing, retention processing or enhancement processing according to the optimization judgment value and exception rules to obtain content optimization information.

[0072] Steps S1-S3 are the basic steps for inefficient content identification and processing based on collected and analyzed data and optimized iterative planning information in Example 1. Steps S4-S6 are further improved steps based on Example 1. Through these improved steps, the original processing method, which relied solely on a single indicator, fixed rules, or static exception protection, is transformed into a joint judgment method that considers the conflict state of multiple indicators and the necessity of core retention. This makes the inefficient content identification process more stable and accurate.

[0073] Specifically, S4 includes: First, the original display effect data of each display module is extracted according to the preset statistical period, and the module playback count data, module dwell time data, module interaction rate data, and module skip rate data are generated respectively. Then, the original data are denoised, outlier removed, and standardized to eliminate the fluctuations caused by different statistical methods, different display sessions, and different display object scales.

[0074] Based on this, the standardized playback count, dwell time, interaction rate, and skip rate are extracted for each display module. Among them, the playback count represents the frequency with which the display module is accessed and invoked; the dwell time represents the sustained attention of the display audience to the content of the display module; the interaction rate represents the degree of active participation of the display audience in the content of the display module; and the skip rate represents the degree of rejection or neglect of the content of the display module by the display audience.

[0075] Considering that there may be contradictions between various indicators during the actual display process, such as a certain display module having a high number of plays but a short dwell time and a low interaction rate, or a certain display module having a long dwell time but a high skip rate, in order to avoid making one-sided judgments on modules based on a single indicator, inefficient conflict values ​​are further constructed for each display module.

[0076] The inefficiency conflict value is obtained through the following methods: First, a weighted summary is made of the inefficiency risks represented by low playback count, short dwell time, low interaction rate, and high skip rate; second, a weighted summary is made of the inconsistencies between playback count and interaction rate, and between dwell time and low skip rate performance; finally, the results from the above two parts are combined to form the inefficiency conflict value of the corresponding display module. The higher the inefficiency conflict value, the more likely the display module is to have problems with both poor performance in a single aspect and contradictions in multiple indicators, and the higher the probability that it will be identified as inefficient content.

[0077] Through the above processing, the inefficiency conflict value can not only reflect the inefficiency of the display module in terms of individual indicators such as number of plays, dwell time, interaction rate and skip rate, but also reflect the degree of conflict between multi-dimensional indicators. This avoids misjudging some modules that only show short-term anomalies in individual indicators but still have display value as modules that should be deleted.

[0078] Specifically, S5 includes: After obtaining the inefficiency conflict values ​​of each display module, we further combine the core content positioning information, module priority design data, requirement priority ranking information, and exception rules to conduct a core retention necessity analysis for each display module.

[0079] Specifically, the core requirement relevance and module retention level are extracted for each display module. The core requirement relevance represents the degree of matching between the display module and the core content positioning information, as well as the degree of consistency with the requirement priority ranking information. The module retention level represents the necessity of retaining the display module in the overall display process, which can be comprehensively determined by module priority design data, exception rules, compliance requirements, and display continuity requirements.

[0080] Based on this, a core retention value is further constructed for each display module. The core retention value is obtained by weighting and synthesizing the display module's dwell time, interaction rate, core need relevance, and module retention level. Dwell time and interaction rate reflect the display module's effective attraction and participation capabilities in actual display; core need relevance reflects the alignment between the display module and the core display objectives; and module retention level reflects the irreplaceable nature of the display module within the overall display logic.

[0081] Through the above processing, even if a certain display module has some unfavorable performance in terms of playback count, dwell time, interaction rate, and skip rate, as long as it is highly related to the core requirements or belongs to the key modules under the key protection of the exception rules, it can still obtain a high core retention value, thereby avoiding being simply deleted in the subsequent optimization process.

[0082] Specifically, S6 includes: After obtaining the inefficiency conflict value and core retention value of each display module, the two are jointly judged to construct the corresponding optimization judgment value for each display module.

[0083] The optimization judgment value is obtained as follows: The core retention value is used as a positive evaluation criterion, and the inefficiency conflict value is used as a negative evaluation criterion. After balancing the two, the optimization judgment value for the corresponding display module is obtained. A lower optimization judgment value indicates a higher risk of inefficiency and a weaker necessity for retention for the display module; a higher optimization judgment value indicates that although the display module may have localized inefficiencies, its necessity for retention is stronger, or its overall display value is higher.

[0084] After obtaining the optimization judgment value, each display module is classified and processed according to preset thresholds and exception rules. When the optimization judgment value of a display module is lower than the deletion judgment range and its module retention level does not reach the preset exception protection level, the display module is judged as a deletion object; when the optimization judgment value of a display module is in the middle range between deletion and retention, the display module is judged as a simplification object, retaining its core information and deleting redundant content; when the optimization judgment value of a display module reaches the retention judgment range, the display module is judged as a retention object; when a display module does not reach the direct retention judgment range, but its module retention level reaches the preset exception protection level, or its core requirement relevance is higher than the preset core relevance threshold, the display module is transferred to the enhancement processing path, where its content is enhanced, its presentation format is optimized, or interactive modules are added, without performing deletion processing.

[0085] The above methods are used to obtain content optimization information, and the results of deletion, simplification, retention, and enhancement processes are incorporated into the content optimization processing information.

[0086] Furthermore, after outputting content optimization information, the inefficiency conflict values, core retention values, optimization judgment values, and final processing paths corresponding to each display module can be recorded and archived, forming a traceable judgment basis. Subsequently, under the same usage scenario, similar display objects, or similar display tasks, historical judgment results can be directly called to adaptively adjust various weight settings and judgment thresholds, thereby further improving the consistency and interpretability of content optimization iteration.

[0087] This embodiment further introduces a joint judgment logic at three levels: inefficiency conflict value, core retention value, and optimization judgment value. This allows content optimization to comprehensively identify the contradictory relationships between multi-dimensional display effect indicators and the necessity of retaining core modules. For display modules that are prone to misjudgment, such as those with high playback counts but low interaction rates, short dwell times but not significantly high skip rates, or long dwell times but insufficient overall conversion performance, this embodiment can first identify their internal contradictions through inefficiency conflict values, then determine whether they still have the necessity to be retained through core retention values, and finally output a more accurate processing path through optimization judgment values. This effectively reduces the false deletion and false judgment rates in inefficiency content screening, improves the accuracy and interpretability of content optimization iterations, and ensures that core modules are not simply deleted, further enhancing the stability and refinement of mobile exhibition hall display content optimization management.

[0088] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A method for optimizing and managing intelligent display content in mobile exhibition halls, characterized in that: The method includes: S1. Obtain usage scenario information for the mobile exhibition hall, conduct scenario research and demand analysis based on the usage scenario information, obtain scenario research and demand analysis data, conduct content planning and modular design based on the scenario research and demand analysis data, obtain planning module design data, conduct content analysis and adaptation based on the planning module design data, and obtain content adaptation optimization data. S2. Based on the content adaptation optimization data, review the content upload and obtain the content upload and review data. Based on the content upload and review data, intelligently publish and push the content to obtain the content publishing and push data. Based on the content publishing and push data, adjust the display control and obtain the control and adjustment information. S3. Based on the control and regulation information, collect and analyze the display data to obtain the display collection and analysis data. Based on the display collection and analysis data, optimize and iterate the content to obtain the content optimization management data.

2. The intelligent display content optimization management method for mobile exhibition halls according to claim 1, characterized in that, S1 includes: Obtain scenario information through multiple channels to acquire channel scenario information; The information obtained from channel scenarios is classified into multiple dimensions to obtain information on the usage scenarios of mobile showrooms; The research plan is determined based on the usage scenario information of the mobile exhibition hall. Scenario research is then conducted based on the research plan to obtain scenario research information. Based on the scenario survey information, the core requirements are extracted and organized to obtain the requirement extraction and organization data; Based on the requirements, extract and organize the data, perform data verification and output, and obtain scenario survey and requirements analysis data. Based on the scenario survey and demand analysis data, core content positioning is determined to obtain core content positioning information; Based on the core content positioning information, content modules are divided to obtain content module division data; Based on the data divided into content modules, we plan the content presentation format to obtain content presentation format planning data. Based on the content presentation format, the planning data is used to standardize module design, design module relationships, design module priorities, and organize and archive the data to obtain planning module design data. Based on the design data from the planning module, structural adaptation analysis, device adaptation analysis, and scenario adaptation analysis are performed to obtain content adaptation analysis data. Based on the content adaptation analysis data, structural adaptation optimization, device adaptation optimization, and scenario adaptation optimization are performed to obtain content adaptation optimization data.

3. The intelligent display content optimization management method for mobile exhibition halls according to claim 2, characterized in that, The process of extracting and organizing core requirements based on scenario survey information to obtain requirement extraction and organization data includes: The scenario survey information is classified in multiple dimensions to obtain multi-dimensional classified data; Keyword extraction is performed on multi-dimensional categorized data to obtain keyword extraction information; By functionally associating and filtering the extracted keyword information with the mobile exhibition hall, we can obtain the filtering requirements. Based on the associated filtering information, the filtering requirements are prioritized to obtain the requirement priority ranking information. Based on priority sorting information, the format of the required information is standardized and summarized to obtain the extracted and organized data.

4. The intelligent display content optimization management method for mobile exhibition halls according to claim 2, characterized in that, The process of performing structural adaptation optimization, device adaptation optimization, and scene adaptation optimization based on content adaptation analysis data to obtain content adaptation optimization data includes: Based on the content adaptation analysis data, the heavy display modules that exceeded the load-bearing limit were adjusted by replacing them with lightweight materials and splitting the modules. The module size and installation position were adjusted to obtain structural adaptation optimization data. Based on content adaptation analysis data, the module content format is converted in batches, the content loading speed is adjusted by compression methods, the multi-terminal synchronization function of the intelligent display system is adjusted, and device adaptation optimization data is obtained. Based on content adaptation analysis data, the module combination scheme is adjusted, the content presentation format is adjusted, and the intelligent energy monitoring platform is linked to adjust the content energy consumption distribution to obtain scene adaptation optimization data. The structure adaptation optimization data, device adaptation optimization data, and scene adaptation optimization data are summarized and organized to obtain content adaptation optimization data.

5. The intelligent display content optimization management method for mobile exhibition halls according to claim 1, characterized in that, S2 includes: Prepare for content upload based on content adaptation and optimization data, and obtain content upload preparation data; Based on the uploaded content, a dual review process is conducted to obtain the dual review data. Based on the dual-review data, review anomaly handling is performed to obtain review anomaly handling data; Based on the handling of review exceptions, organize the content upload review data to obtain the content upload review data; Based on the content upload review data, configure content publishing settings to obtain content publishing settings information; Based on the content publishing settings, intelligently publish, push, and organize content to obtain content publishing and push data; Real-time status monitoring is performed based on content publishing and push data to obtain status monitoring data; Dynamic control and adjustment are performed based on status monitoring data to obtain dynamic control and adjustment data. Record, review, and organize dynamic control and adjustment data to obtain control and adjustment information.

6. The intelligent display content optimization management method for mobile exhibition halls according to claim 5, characterized in that, The process of performing a dual review based on the data prepared for content upload, and obtaining the dual review data, includes: The content upload preparation data undergoes a first content review to obtain the first review data. A second technical review is conducted on the content upload preparation data to obtain the second review data; The first and second audit data are integrated to obtain dual audit data.

7. The intelligent display content optimization management method for mobile exhibition halls according to claim 5, characterized in that, The process of intelligently publishing, pushing, and organizing content based on content publishing settings to obtain content publishing and pushing data includes: The system backend inputs content publishing settings to obtain intelligent content publishing information; Based on the intelligent content publishing information and the object's identity and behavior data, push data is segmented to obtain intelligent content push data; Based on intelligent content push data, multi-terminal synchronous management is implemented to obtain push status information and adjust push feedback. Based on the feedback from the push notifications, we adjust, organize, and standardize the data to obtain the content publishing and push notification data.

8. The intelligent display content optimization management method for mobile exhibition halls according to claim 1, characterized in that, S3 includes: Based on the control and regulation information, multi-dimensional data collection, processing, and cleaning are carried out to obtain the collected and processed data; Perform in-depth data analysis on the collected data to obtain in-depth data analysis information; Organize and process the collected and analyzed data through in-depth analysis. Based on the collected and analyzed data, content optimization and iterative planning are carried out to obtain optimization and iterative planning information; Based on the optimization iteration plan information, multi-dimensional content optimization processing is performed to obtain content optimization processing information; Based on the content optimization information, optimize the management methods to obtain management method optimization information; Based on the management methods, optimize and iterate the information processing, conduct tests and verifications, and obtain test and verification information. Based on the test verification information, content optimization management data is compiled to obtain content optimization management data.

9. The intelligent display content optimization management method for mobile exhibition halls according to claim 8, characterized in that, The process of performing multi-dimensional content optimization based on optimization iteration planning information to obtain content optimization processing information includes: By combining optimized iterative planning information with collected and analyzed data, we can identify and process playback counts, interaction rates, and inefficient content to obtain content optimization information. Data focus identification is performed on content optimization information to obtain focus identification data, and content enhancement processing is performed on the focus identification data to obtain content enhancement information; Add interactive modules to enhance the presentation of content information to obtain format-enhancing information; Based on the enhanced information and the equipment and structural data collected and analyzed, the module content format and size were optimized, the installation-related content was adjusted, and the intelligent energy monitoring platform was linked to regulate energy consumption distribution. The entire optimization process involves collecting, comparing, and summarizing parameters to generate content optimization processing information.

10. A smart display content optimization management system for mobile exhibition halls, characterized in that: The system includes: The content adaptation module is used to obtain usage scenario information of the mobile exhibition hall, conduct scenario research and demand analysis based on the usage scenario information, obtain scenario research and demand analysis data, conduct content planning and modular design based on the scenario research and demand analysis data, obtain planning module design data, and conduct content analysis and adaptation based on the planning module design data to obtain content adaptation optimization data. The content push module is used to review content uploads based on content adaptation and optimization data, obtain content upload review data, intelligently publish and push content based on the content upload review data, obtain content publishing and push data, and adjust display control based on the content publishing and push data to obtain control and adjustment information. The content optimization module is used to collect and analyze display data based on control and regulation information, obtain display data collection and analysis data, and perform content optimization iteration based on the display data collection and analysis data to obtain content optimization management data.

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