Data management method of venue platform and related equipment

Abstract

The invention provides a data management method of a venue platform and related equipment, and is applied to the technical field of data processing. The method comprises the following steps: processing target user information to generate user access priority information; processing the stadium consumption management information to generate stadium consumption data management process information; processing the venue consumption data management process information based on the venue integrated management system function information, and generating venue consumption management optimization strategy features; processing the access control management information and the venue type information to generate access control management mode classification and operation process information; processing the access control management mode classification and operation process information and the user access priority information based on the function information of the venue integrated management system, and generating access control management efficiency improvement strategy information; and processing the stadium consumption management optimization strategy characteristics and the access control management efficiency improvement strategy information to generate stadium comprehensive management data resource integration and application result information.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly to a data management method for a venue platform and related devices. Background Art

[0002] With the development of information technology, venue management has shifted from the traditional manual mode to digital and intelligent modes. In the early days of venue management, in terms of venue consumption management, operations such as ticket sales, payments, and financial records relied mainly on manual operations, which were inefficient and error-prone. For example, during large-scale events or activities, manual ticket sales could easily cause long queues for ticket buyers, the payment methods were single, the financial record statistics were cumbersome, and the accuracy was difficult to guarantee, making it impossible to provide accurate data support for operational decisions in a timely manner.

[0003] In terms of access control management, the early access control systems had simple functions, unstable network connections, and a single method for permission judgment, mostly based on card recognition, and were unable to accurately meet the complex access permission requirements of different users. For the processing of access records, paper registration or simple electronic spreadsheets were often used, making it difficult to conduct efficient analysis and statistics, and both the security and management efficiency were relatively low.

[0004] When conducting comprehensive venue management, each system was independent and lacked a data linkage mechanism. The functions of the venue comprehensive management system were scattered, and the data was stored separately. For example, the transaction management data and the access control management data could not be interacted in real time, the real-time monitoring scope was limited and the accuracy was insufficient, the data analysis dimension was single, it was difficult to mine potential value from multi-source data, and it could not meet the requirements of efficient venue operation, restricting the improvement of venue service quality and the optimization of resource allocation. These existing problems have clarified the direction for subsequent technological innovation and improvement.

[0005] It should be noted that the information disclosed in the above background art section is only used to enhance the understanding of the background of the present disclosure, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0006] The purpose of this application is to provide a data management method and related devices for a venue platform, which at least overcome the problems existing in the prior art to a certain extent. By processing the target user information, user access priority information is generated based on consumption records, membership levels, etc., so as to determine the priority level and change trend of users in venue access. For the venue consumption management information, after processing the data in links such as ticket purchase and payment, consumption data management process information is generated, and combined with the system function information, optimization strategy features are generated to improve the consumption management level. For the access control management information and venue type information, the networking status, permission judgment method, etc. are analyzed to generate access control management mode classification and operation process information. Based on the system function information of the venue, the access control management mode and user access priority information are integrated to generate access control management efficiency improvement strategy information, complete the integration of data resources, provide comprehensive decision-making support for venue operation, and realize efficient venue operation and service optimization.

[0007] Other features and advantages of this application will become apparent through the following detailed description, or be learned in part through the practice of the present invention.

[0008] According to one aspect of this application, a data management method for a venue platform is provided, including: obtaining venue consumption management information, access control management information, venue type information, venue integrated management system function information, and target user information; processing the target user information to generate user access priority information; processing the venue consumption management information to generate venue consumption data management process information; processing the venue consumption data management process information based on the venue integrated management system function information to generate venue consumption management optimization strategy features; processing the access control management information and venue type information to generate access control management mode classification and operation process information; processing the access control management mode classification and operation process information and user access priority information based on the venue integrated management system function information to generate access control management efficiency improvement strategy information; processing the venue consumption management optimization strategy features and access control management efficiency improvement strategy information to generate venue integrated management data resource integration and application result information.

[0009] Another aspect of the present application is a data management device for a venue platform, which is characterized by including: an acquisition module for acquiring venue consumption management information, access control management information, venue type information, venue integrated management system function information, and target user information; a processing module for processing the target user information to generate user access priority information; processing the venue consumption management information to generate venue consumption data management process information; processing the venue consumption data management process information based on the venue integrated management system function information to generate venue consumption management optimization strategy features; processing the access control management information and venue type information to generate access control management mode classification and operation process information; processing the access control management mode classification and operation process information and user access priority information based on the venue integrated management system function information to generate access control management efficiency improvement strategy information; processing the venue consumption management optimization strategy features and access control management efficiency improvement strategy information to generate venue integrated management data resource integration and application result information.

[0010] According to still another aspect of the present application, an electronic device is characterized by including: a first processor; and a memory for storing executable instructions of the first processor; wherein, the first processor is configured to execute the executable instructions to implement the data management method for the venue platform described above.

[0011] According to yet another aspect of the present application, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a second processor, it implements the data management method for the venue platform described above.

[0012] A data management method and related devices for a venue platform provided by the present application obtain multi-source information such as venue consumption management, access control management, venue type, integrated system function, and target users by a server. Then, the target user information is processed, and user access priority information is generated based on consumption records, membership levels, etc., so as to determine the priority degree and change trend of users in venue access. For the venue consumption management information, after processing the data in links such as ticket purchase and payment, venue consumption data management process information is generated, and combined with the system function information, optimization strategy features are generated to improve the consumption management level.

[0013] For the access control management information and venue type information, the network connection status, permission judgment method, etc. are analyzed to generate access control management mode classification and operation process information. Based on the system function information, the access control management mode and user access priority information are integrated to generate access control management efficiency improvement strategy information. Finally, the consumption management optimization strategy and access control management efficiency improvement strategy are integrated, key indicators are extracted, a collaborative influence factor is generated, an integrated management benefit level and development trend are generated, data resource integration is completed, comprehensive decision support is provided for venue operation, and efficient venue operation and service optimization are realized.

[0014] It should be understood that the above general description and the following detailed description are merely exemplary and explanatory, and do not limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 A flowchart showing a data management method for a venue platform provided by an embodiment of the present application;

[0016] Figure 2 A flowchart showing the networking mode of the access control networking information of a venue platform provided by an embodiment of the present application;

[0017] Figure 3 A flowchart showing the offline mode of the access control networking information of a venue platform provided by an embodiment of the present application;

[0018] Figure 4 A schematic structural diagram showing a data management device for a venue platform provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The following describes the preferred embodiments of the present invention with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only for the purpose of illustrating and explaining the present invention, and are not used to limit the present invention.

[0020] The following Figure 1 is used to describe the data management method of the venue platform according to the exemplary embodiments of the present application. It should be noted that the following application scenarios are only shown for the convenience of understanding the spirit and principle of the present application, and the embodiments of the present application are not limited in this regard. On the contrary, the embodiments of the present application are applicable to any applicable scenario.

[0021] In one embodiment, the present application also proposes a data management method for a venue platform and related devices. Figure 1 Schematically shown is a flowchart of a data management method for a venue platform according to an embodiment of the present application. As Figure 1 shown, this method is applied to a server and includes:

[0022] S101, obtaining venue consumption management information, access control management information, venue type information, venue integrated management system function information, and target user information.

[0023] In one implementation, the venue consumption management information covers data of multiple links such as ticket purchase, payment, out-of-warehouse, admission voucher generation, and financial records. For example, when a user purchases tickets for venue reservation, access, course training, membership card, event, etc., after successful payment, the platform automatically conducts out-of-warehouse operation, generates an admission voucher in the form of a QR code or face recognition, and then generates a financial income record. After the admission voucher is verified and written off, a financial consumption record is generated, including the sales volume, sales amount, purchase time distribution of various tickets, payment methods (cash, card swiping, mobile payment, etc.) and success rate, payment time, out-of-warehouse status (success, failure and reasons), generation time, form, verification time and location of the admission voucher, as well as information such as the accuracy and timeliness of financial records.

[0024] The access control management information involves core data such as the networking status of the access control system, user access permission judgment, and access records. In the networking mode, functions such as multiple accesses, prohibited access after unsubscription, and deduction according to the on-site duration can be realized. The access permission is issued by the server, and the access control is compared and verified. The offline mode is applicable to outdoor venues without network. Although the functions are limited, it reduces the networking deployment and maintenance costs. Information such as user identity verification methods (biometric recognition, RFID card, etc.), permission management rules (permission allocation for different roles), real-time monitoring data (monitoring range, frequency, abnormal conditions), and the operation stability and fault records of equipment in different access control modes.

[0025] The venue type information includes key features such as the venue usage scenario and networking conditions. The usage scenarios are divided into indoor and outdoor. Different scenarios have different functional requirements for the venue. For example, outdoor venues have high requirements for equipment durability and protection. The networking conditions determine the operation mode of the access control and management systems. Networking venues can implement advanced functions, and venues without network need to adopt the offline mode to deal with. It also involves information such as the venue scale (area, capacity), purpose (sports events, cultural activities, exhibitions, etc.), building structure (number of floors, channel layout), etc. These factors will affect the access control layout and consumption management strategy.

[0026] The venue integrated management system function information focuses on the core functional characteristics of the system. The data linkage mechanism realizes real-time data interaction between the access control and transaction systems. For example, the access control permission is automatically updated after consumption. The real-time monitoring has a specific range and accuracy, and comprehensively monitors the dynamics of the venue. The data analysis mines the data value from multiple dimensions and provides a basis for operation decision-making. It also includes information such as the system architecture (architecture design of the central data integration platform, data flow direction), data format standard (specific specifications of the unified format, compatibility details), system stability (operation duration, fault frequency), and the docking ability with other external systems (docking platform, interface specification).

[0027] The target user information revolves around behavioral and attribute data such as user consumption, membership level, access frequency, event participation, etc. Consumption records reflect consumption amount, frequency, and item preferences; membership levels reflect differences in user rights and interests; historical access frequencies demonstrate user stickiness; the types and activity levels of participated events reflect interest preferences. It also covers user basic information (name, age, gender, contact information), registration time, source channels (online advertisements, offline promotions, etc.), and user feedback (satisfaction evaluations, opinions and suggestions), etc., for accurately analyzing user needs and optimizing venue services.

[0028] S102. Process the target user information to generate user access priority information.

[0029] In one implementation, extract and screen the user consumption records, membership levels, historical access frequencies, types of participated venue events, and activity levels in the target user information to generate consumption contribution factors, membership level associated data, access activity data, and event participation information. Extract the user consumption records from the target user information. For example, count the consumption amount and times of the user purchasing tickets for venue reservations, course trainings, etc. within a certain period. If the user purchases 5 course training tickets with a total consumption amount of 1000 yuan, this reflects their consumption investment in course trainings and can be used as reference data for consumption contribution factors. For the membership level, if the user is a premium member, corresponding membership level associated data can be assigned, such as premium members enjoying privileges like priority venue reservations. The historical access frequency can count the number of times the user has accessed the venue in the past year. If the access is 10 times, it indicates their high access activity and generates access activity data. For the types of participated venue events and activity levels, if the user frequently participates in sports event activities, with a large number of participation times and active interactions, event participation information is generated accordingly.

[0030] The preset user value evaluation model library comprehensively considers consumption contribution factors, membership level associated data, access activity data, and activity participation information. For example, users with high consumption contribution, high membership level, frequent access, and active participation in activities will, through model calculation, obtain a higher user access priority level, such as being rated as Class A users. At the same time, their priority dynamic change information is determined. If such users continuously maintain high consumption and high activity, their priority shows an upward trend. Based on the user access priority level information and priority dynamic change information, the target user information is classified and identified. The basic information, consumption records, and other relevant data of Class A users are marked as high-priority data, and Class B user data is marked as medium-priority data. For high-priority users, their information can be prominently displayed in the system to facilitate key attention by venue staff, effectively distinguishing the results of user information screening. The results of user information screening are summarized, and various data of users at different levels are compared. If it is found that high-priority users are significantly higher than low-priority users in terms of consumption amount, access frequency, and activity participation, by analyzing these data patterns, user access priority characteristics are generated. This characteristic can intuitively present the priority levels of different users in venue access. For example, Class A users can enjoy privileges such as priority entry and exclusive service channels, and as their consumption and activity participation change, the priority level will also change accordingly, clearly showing the change trend.

[0031] Based on the preset user value evaluation model library, the consumption contribution factors, membership level associated data, access activity data, and activity participation information are processed to generate user access priority level information and priority dynamic change information. The ticket purchase type is extracted from the venue consumption management information, such as identifying whether the user purchases event tickets or course training tickets. The payment status includes successful payment, failed payment, and payment methods. For example, the user successfully purchases a ticket through WeChat payment. The out-of-warehouse situation records whether the goods are normally out of the warehouse. If they are normally out of the warehouse, the out-of-warehouse time is recorded. The form of generating the entry certificate may be a QR code or face recognition, and the timing of generating the financial record, such as generating a financial consumption record after the entry certificate is verified. Based on this information, ticket consumption category factors, payment and out-of-warehouse associated data, entry certificate generation information, and financial record trigger information are generated.

[0032] Using a preset venue consumption process model library, analyze information such as ticket consumption category factors. If the purchase volume of event tickets increases significantly during a specific period, the model can determine that the data transfer level of this type of ticket consumption is relatively high, and at the same time predict that the consumption process may change. For example, the catering consumption around the venue may increase during the event, thereby generating venue consumption data transfer level information and consumption process change information. Based on the venue consumption data transfer level information and consumption process change information, classify and label the venue consumption management information. Mark the sales data of event tickets with a high transfer level as key attention data, and specially label the data related to consumption process changes, such as newly added catering consumption data, to facilitate venue managers to quickly screen out key consumption data. Summarize the results of consumption data screening, and analyze the sales trends of different types of tickets, payment method preferences, and financial record rules. If it is found that the sales of event tickets are booming on weekends and the proportion of mobile payment is relatively high, summarize the data processing processes and change trends of venue consumption in different links, generate the characteristics of the venue consumption data management process, and provide a basis for optimizing consumption management.

[0033] Based on the user access priority level information and priority dynamic change information, classify and label the relevant data in the target user information to generate the user information screening result. Extract the network connection status of the access control system from the access control management information to determine whether it is in the networked mode or the offline mode. The user access permission judgment method, such as through QR code comparison or biometric identification. The characteristics of user access records, recording the access time and frequency. Extract the usage scenario characteristics from the venue type information, whether it is an indoor or outdoor venue, as well as the network connection condition information. Combine this information to generate access control mode impact factors, permission verification associated data, user access dynamic information, and venue scenario related information. For example, an outdoor venue with an offline mode may lead to limited access control functions and affect the real-time upload of user access records, which is an embodiment of the access control mode impact factor.

[0034] With the help of a preset access control management mode evaluation model library, for venues in the networked mode where users frequently enter and exit, the model determines that the classification level of their access control management mode is relatively high. At the same time, it generates information on changes in the operation process, increases the real-time monitoring frequency, and optimizes the permission management rules to improve the security and efficiency of access control management. According to the access control management mode classification level information and the operation process change information, classify and label the access control management information and the venue type information. Mark the access control management information of the high-level networked mode as the key object for optimization, and clearly label the data involved in the operation process changes, such as the adjusted permission management rules, to facilitate the centralized allocation of resources for optimizing access control management. Summarize the screening results, and analyze the user entry and exit patterns, the effectiveness of permission management, and the compatibility with the venue type under different access control modes. It is found that the networked mode can effectively achieve multiple entries and exits and accurate deduction of fees in large indoor venues, but it cannot play its advantages in outdoor venues without network. Through these analyses, generate access control management mode classification and operation process information to guide the venue in choosing a suitable access control management solution.

[0035] Summarize and analyze the screening results of user information to generate user access priority characteristics. Among them, the user access priority characteristics are used to represent the priority level and change trend of different users in venue access. Extract key consumption link indicators from the venue consumption management optimization strategy characteristics. For example, in a certain venue, it is found that the sales of event tickets is a key consumption link, and its sales account for a relatively large proportion. Consumption management indicators, such as the expected improvement in the conversion rate of ticket sales. Extract access control security measure characteristics from the access control management efficiency improvement strategy information, such as the adoption of advanced biometric technologies to enhance access control security. User passage experience characteristics, such as optimizing the access control system to reduce waiting time. Operating cost characteristics, such as reducing the maintenance cost of access control equipment. Integrate this information to generate consumption and access control collaborative impact factors, resource optimization configuration correlation data, user experience improvement dynamic information, and operating cost control auxiliary information. For example, strengthening access control security measures will improve users' perception of the venue's security, thereby promoting consumption, which is an embodiment of the consumption and access control collaborative impact factor. If the consumption and access control have a good collaborative effect and the resource allocation is reasonable, the model generates a relatively high venue comprehensive management benefit level, such as being rated as an excellent level, and at the same time predicts the development trend, such as the future venue revenue will continue to grow.

[0036] Classify and identify the characteristics of the optimized strategies for venue consumption management and the information on the strategies for enhancing the effectiveness of access control management based on the information on the comprehensive management benefit levels of the venues and the information on changes in development trends. Mark the strategies that have a significant impact on improving the overall benefits, such as optimizing the ticket sales process for sports events and strengthening access control security measures, as core strategies, and mark the strategies with average effects as strategies to be improved, so as to clarify the key points of work. Summarize the screening results and deeply analyze the relationships between the core strategies and the strategies to be improved, as well as their comprehensive impacts on venue operations. For example, if it is found that after the implementation of the core strategies, the venue revenue has increased significantly and the user satisfaction has improved, but there are still some links that can be optimized. Generate the information on the integration and application results of the venue's comprehensive management data resources through these analyses to provide decision-making support for the long-term stable operation of the venue.

[0037] S103. Process the venue consumption management information to generate the information on the venue consumption data management process.

[0038] In one implementation, extract and screen the information on the ticket purchase type, payment status, outbound situation, form of generating the admission voucher, and timing of generating the financial record in the venue consumption management information to generate the ticket consumption category factor, the associated data of payment and outbound, the information on generating the admission voucher, and the information on triggering the financial record. Identify whether the user purchases a venue reservation ticket, an access ticket, a course training ticket, a membership card, or a sports event ticket, etc. For example, if the user purchases a ticket for a basketball game, the ticket purchase type is a sports event ticket. This information can be a key component of the ticket consumption category factor. Different ticket types reflect different consumption needs and preferences of users, which is of great significance for subsequent consumption management and operation decision-making.

[0039] Record whether the payment is successful and the payment method adopted, such as cash, card swiping, mobile payment (WeChat payment, Alipay payment, etc.). Assume that the user successfully purchases a course training ticket through WeChat payment. The payment status information includes the two key contents of payment success and WeChat payment. This information helps to generate the associated data of payment and outbound. For example, it can analyze the outbound efficiency and success rate under different payment methods, as well as the impact of payment success or failure on the outbound process. Judge whether the platform normally makes an outbound after the user makes a payment and record the outbound time. If the platform normally makes an outbound after the user purchases a ticket and the outbound time is 1 minute after the payment is successful, this information is not only closely related to the payment status but also affects the generation of the admission voucher and the financial record. Normal outbound is a prerequisite for generating a valid admission voucher and an accurate financial record, can be an important indicator for the associated data of payment and outbound, and is also a key link for judging whether the consumption process is smooth.

[0040] Determine whether the admission credential is a QR code, face recognition, or other form. For example, a certain venue uses a QR code as the admission credential, and this information constitutes the admission credential generation information. Different generation forms affect the user's admission experience and the convenience of management, and are also related to data security and verification efficiency. For example, the QR code admission credential is convenient for users to save and display, but there may be a risk of being screenshot and misused; face recognition is more secure, but has higher requirements for equipment and technology. It is clear that the financial consumption record is generated after the admission credential is verified. For example, when the user enters the venue with the QR code admission credential and it is successfully verified, the system immediately generates a financial consumption record. This information generates the financial record trigger information, accurately records the time node of the financial record generation, and ensures the accuracy and timeliness of the financial data, which is crucial for financial management and data analysis.

[0041] Based on the preset venue consumption process model library, process the ticket consumption category factors, payment and outbound association data, admission credential generation information, and financial record trigger information to generate venue consumption data transfer level information and consumption process change information. Adopt a model that combines process mining and predictive analysis. The process mining model is used to discover the actual operation of the current consumption process, and the predictive analysis model predicts the future change trend of the consumption process based on historical data and real-time data. The model is divided into a data layer, an analysis layer, and a prediction layer. The data layer is responsible for collecting and organizing basic data such as ticket consumption category factors, payment and outbound association data, admission credential generation information, and financial record trigger information; the analysis layer uses data mining algorithms such as association rule mining and clustering analysis to analyze the internal relationships and patterns between the data; the prediction layer, based on the analysis results, uses technologies such as time series analysis and machine learning algorithms (such as decision trees, neural networks) to predict the venue consumption data transfer level and consumption process changes. The data layer and the analysis layer are connected through a data interface to ensure the accurate transmission and processing of data; the output of the analysis layer is used as the input of the prediction layer, and the prediction layer generates the final prediction data based on the analysis results. The model also includes a feedback mechanism that compares the actual consumption data with the prediction data, continuously optimizes the model parameters, and improves the prediction accuracy. In association rule mining, set the support and confidence thresholds to screen meaningful association rules; in time series analysis, determine parameters such as the time interval and prediction step; in machine learning algorithms, adjust parameters such as the learning rate, number of iterations, and regularization parameter to optimize the model performance.

[0042] Suppose that within a certain period, through the analysis of the ticket consumption category factors, it is found that the ticket purchase volume of the event shows obvious seasonal fluctuations, and the ticket purchase volume of the summer event is relatively high. The payment and outbound association data shows that the outbound success rate under the mobile payment method is as high as 98%, and the average outbound time is 0.5 minutes after the payment is successful. The admission voucher generation information indicates that 90% of the users choose the QR code as the admission voucher. The financial record trigger information records the generation time of each financial consumption record. Based on this information, the model analysis finds that there is an association between the increase in the ticket purchase volume of the event and the growth of the catering consumption around the venue (support degree is 0.6, confidence level is 0.8). Through time series analysis and prediction, within the next two months, with the increase in summer sports events, the data transfer level of the event ticket consumption data will increase, and the expected purchase volume will increase by 30%. At the same time, due to the increase in events, the catering consumption process around the venue may change, and the consumption amount may increase by 40%. Based on this, the venue consumption data transfer level information and consumption process change information are generated.

[0043] Classify and label the venue consumption management information based on the venue consumption data transfer level information and consumption process change information to generate the consumption data screening results. Mark the data with a high transfer level and the data closely related to the consumption process change as the key attention data. For example, if the model predicts that the data transfer level of the event ticket consumption data is relatively high, and the consumption process change shows that the catering consumption around the venue will increase significantly, then mark the event ticket sales data and the data related to catering consumption (such as catering sales records, consumer preference data, etc.) as the key attention data. For the records in the payment and outbound association data with a low outbound success rate or a long outbound time, make special markings for further analysis of the reasons and optimization of the process. Suppose the venue consumption data transfer level is divided into three levels: high, medium, and low. After model analysis, the data transfer level of the event ticket consumption data is rated as a high level, and at the same time, it is predicted that the consumption process change is the growth of the catering consumption around the venue. Then in the consumption data screening results, mark the data such as the sales quantity, sales amount, purchase time, and purchase user information of the event tickets as the key attention data, and at the same time, mark the data such as the dish sales records, consumption time, and consumption amount related to the catering consumption around the venue as the key attention data. For the records in the payment and outbound association data with an outbound time exceeding 1 minute (assuming the normal outbound time is 0.5 minutes on average), make special markings with a red label for the convenience of managers to quickly identify and process.

[0044] The consumption data screening results are summarized and analyzed to generate the characteristics of the venue consumption data management process. The characteristics of the venue consumption data management process are used to characterize the data processing process and change trends of venue consumption in different links and situations. Statistical analysis methods, such as descriptive statistics (mean, median, standard deviation, etc.) and correlation analysis, are used to process the filtered consumption data. By comparing data under different time periods, different ticket types, and different payment methods, the potential patterns and trends between the data are explored. The ticket sales data of key events are summarized to calculate the average sales, median sales volume, and standard deviation of sales of tickets of different event types. For example, the average sales of football tickets is 200 yuan, the median sales volume is 100 tickets, and the standard deviation of sales is 50 yuan; the average sales of basketball tickets is 150 yuan, the median sales volume is 120 tickets, and the standard deviation of sales is 40 yuan. Through correlation analysis, it is found that the sales of event tickets are positively correlated with the popularity of the event (correlation coefficient is 0.7) and positively correlated with the ticket price (correlation coefficient is 0.8). Combined with the information on changes in consumption processes, it is found that with the increase in events, the sales of fast food in the catering consumption around the venues has increased significantly, and there is a certain correlation with the growth of event ticket sales (the correlation coefficient is 0.6). Based on these analyses, the characteristics of the venue consumption data management process are generated: during events, the flow level of event ticket consumption data is high, and sales are greatly affected by the popularity of the event and ticket prices; with the increase in events, catering consumption around the venues, especially fast food consumption, shows an upward trend. This feature clearly shows the data processing process and change trends of venue consumption in different links under the event scene, providing a strong basis for venue operation managers to formulate marketing strategies and optimize service processes.

[0045] S104, processing the venue consumption data management process information based on the venue comprehensive management system function information to generate venue consumption management optimization strategy features.

[0046] In one implementation, transaction management and access control management data linkage characteristic information, real-time monitoring capability information, and data analysis dimension information are extracted from the functional information of the venue integrated management system, and various ticket sales data, payment data, admission voucher-related data, and financial record data are extracted from the venue consumption data management process information. The transaction management and access control management data linkage characteristic information, such as the real-time nature of data linkage, that is, the delay time of access control permission update after a consumption behavior occurs. If the permission update is completed within 1 minute, this reflects the high efficiency of data linkage. The real-time monitoring capability information includes the coverage of monitoring cameras, such as 95% of the public areas in the venue can be monitored, and the clarity of the monitoring images, reaching 1080P resolution, which can clearly identify personnel behavior. The data analysis dimension information, such as analyzing the consumption preferences of users of different age groups and different membership levels from the consumption data, provides a basis for precision marketing. Various ticket sales data, which count the sales quantity and sales amount of different types of tickets within a certain period, such as during a concert, 100 VIP tickets were sold with a sales amount of 50,000 yuan; 1,000 regular tickets were sold with a sales amount of 80,000 yuan. The payment data covers payment methods (such as cash, card swiping, mobile payment, etc.) and the payment success rate. For example, the mobile payment success rate reaches 98%. The admission voucher-related data includes the voucher generation time, verification method, and verification success rate. If the average voucher generation time is 5 seconds and the QR code verification success rate is 99%. The financial record data includes the accuracy and timeliness of income records and consumption records, ensuring that each transaction can be accurately recorded and recorded in the financial system within 1 minute after the transaction is completed.

[0047] Process the transaction management and access control management data linkage characteristic information, real-time monitoring capability, information data analysis dimension information, various ticket sales data, payment data, admission voucher-related data, and financial record data to generate consumption business impact factors, data processing efficiency data, sales and payment correlation information, and admission and financial process information. Combining the above-extracted information, if the transaction management and access control management data linkage is good, when a user purchases a premium membership service, the access control permission can be immediately updated, facilitating the user to enter the exclusive area, which has a positive impact on promoting consumption and can be used as a positive indicator of the consumption business impact factor. Based on the real-time monitoring capability and data processing process, if the system can process and analyze the personnel access data during a peak admission period (such as half an hour before the start of a concert) within 10 seconds, this processing speed can be used as the data processing efficiency data. By analyzing the ticket sales data and payment data, it is found that among the users who purchase tickets using mobile payment, the proportion of users who purchase high-priced tickets is 20% higher than that of cash payment users, which reveals the correlation between sales and payment. Based on the admission voucher-related data and financial record data, if the financial consumption record can be accurately generated within 2 seconds after the admission voucher is verified, this reflects the high efficiency of the admission and financial process.

[0048] Based on the preset venue consumption management optimization model library, the impact factors of consumption business, data processing efficiency data, sales and payment correlation information, and information related to admission and financial processes are processed to generate venue consumption management optimization level information and consumption management strategy adjustment direction information. The analytic hierarchy process (AHP) and the linear regression model are combined. The AHP is used to determine the weights of various factors such as the impact factors of consumption business, data processing efficiency data, sales and payment correlation information, and admission and financial process information. The linear regression model is used to predict the venue consumption management effect under different factor combinations. The model is divided into an objective layer, a criterion layer, and an index layer. The objective layer is the optimization of venue consumption management. The criterion layer includes four aspects: consumption business impact, data processing efficiency, sales and payment correlation, and admission and financial processes. The index layer is specific impact factors, data, etc.

[0049] The weights of various factors are determined through expert scoring and data analysis, and the weights and corresponding data are substituted into the linear regression model to obtain the venue consumption management optimization level information. The model has a feedback mechanism and continuously adjusts the weights and regression coefficients according to the actual operation data. In the AHP, the scale values of the relative importance of various factors are determined through the 1-9 scale method; in the linear regression model, the learning rate is set to 0.01 and the number of iterations is 1000 times. Suppose the weight of the impact factor of consumption business is determined to be 0.4, the weight of data processing efficiency data is 0.2, the weight of sales and payment correlation information is 0.2, and the weight of admission and financial process information is 0.2 through the AHP. Substitute the previously generated data into the linear regression model, and it is predicted that the venue consumption management optimization level is at a medium level under the current operation situation. At the same time, the model gives the direction of consumption management strategy adjustment, such as further optimizing the data linkage characteristics and improving the data processing efficiency to enhance the overall management effect.

[0050] Based on the venue consumption management optimization level information and consumption management strategy adjustment direction information, the corresponding data in the venue comprehensive management system function information and venue consumption data management process information are classified to generate the optimized data screening results for venue consumption management. The data that has a significant effect on improving the consumption management level is marked as key optimization data, such as the data linkage delay time between transaction management and access control management, and the correlation data between high-price ticket sales and payment methods. Special marks are made for the negative data with low data processing efficiency and affecting consumption management, such as the time period and area data with a low success rate of admission voucher verification. If the optimization level information shows that the data linkage delay has a greater negative impact on consumption management, then all the data related to the data linkage delay, including the data linkage delay records in different time periods and different business scenarios, are screened out and marked as key optimization data. At the same time, the payment method data with a low payment success rate is marked as data to be improved for subsequent targeted optimization.

[0051] Process the optimized data screening results of venue consumption management to generate the characteristics of the optimized strategy for venue consumption management. For example, if it is found that the sales of high-priced tickets are closely related to mobile payment, and the data linkage characteristics have a greater impact on the experience of high-consumption users, the optimized strategy characteristics can be formulated as "strengthen cooperation with mobile payment platforms, optimize the data linkage mechanism, and provide exclusive discounts and fast entry channels for high-consumption users". By analyzing the data of the entry and financial processes, if it is found that the verification speed of the entry vouchers is slow during some time periods, affecting the timeliness of financial records, the optimized strategy characteristics of "optimize the entry voucher verification technology, improve the verification speed, and ensure the real-time and accurate generation of financial records" can be proposed, so as to provide specific and effective strategic guidance for venue consumption management.

[0052] S105. Process the access control management information and venue type information to generate the access control management mode classification and operation process information.

[0053] In one implementation, in modern venue management, access control management is a key link to ensure the safety and order of the venue. It is closely related to the venue type information. By processing the two, reasonable access control management mode classification and operation process information can be generated to meet the needs of different venues. Comprehensively process the access control management information and venue type information, determine the networking status of the access control, and generate access control networking information, which is mainly divided into the networking mode and the offline mode. In the networking mode, the access control system can interact with the server in real time to achieve a variety of advanced functions; the offline mode is suitable for special conditions such as no network outdoors, reducing the requirements for networking deployment and maintenance.

[0054] Such as Figure 3As shown, when the access control networking information is in the networked mode, the target user issues a passage request. The server generates passage credential information based on this request and sends it to the target user. The user shows the passage credential at the venue entrance. The access control device scans the credential information and uploads it to the server. The server processes the passage credential information, determines whether the user has the permission to enter, and generates the first access control passage information to decide whether to allow the access control to release. For example, when an event is held in a large indoor venue, after the user purchases a ticket, the server generates a passage credential according to the ticket purchase information. The user scans the code to enter the venue, and the system verifies and decides whether to allow passage. For example, the passage credential can be an electronic credential containing the audience's identity information, seat information, entry time, etc., and is sent to the audience's mobile phone via text message, the official venue APP, etc. When the audience arrives at the venue entrance, they open their mobile phones to show the passage credential, and the scanning device on the access control device scans the credential. After scanning, the access control device uploads the scanned passage credential information to the server. After receiving the information, the server processes it and compares it with the audience permission data stored in the system to determine whether the audience has the permission to enter the venue and the corresponding entry area. If the audience's permission matches, the first access control passage information is generated to instruct the access control device to allow the audience to pass. After receiving the instruction, the access control device automatically opens the door to release; if the permission does not match, an information prohibiting passage is generated, and the access control device remains closed.

[0055] As Figure 4 Shown, if the access control networking information is in the offline mode, after the target user issues a passage request, the server generates QR code information and sends it to the user's mobile phone. The user shows the QR code. After the access control device scans it, it compares the QR code information with the built-in QR code. The second access control passage information is generated according to the comparison result to determine whether to allow the user to pass. For an outdoor temporary event venue, due to network condition limitations, the offline mode is adopted, and the user scans the QR code on the mobile phone to enter the venue. For example, when the audience arrives at the venue entrance, they show the QR code on their mobile phone to the access control device. After the access control device scans the QR code, it compares the QR code information with the pre-generated QR code data stored locally. If the comparison is successful, the second access control passage information is generated to allow the audience to pass, and the access control device opens the door; if the comparison fails, passage is prohibited, and the access control device remains closed. In the offline mode, although it is impossible to interact with the server in real time, through the pre-stored QR code data and the local comparison mechanism, the basic access control management function can still be realized.

[0056] Integrate the first access control passing information and the second access control passing information to classify the access control management mode and clarify the operation processes under different modes. The networked mode is applicable to venues with complex functional requirements and good network conditions, enabling refined management; the offline mode provides a feasible access control solution for venues with poor network. Through this classification and process sorting, venue managers can select the appropriate access control management mode according to the actual situation to ensure the normal operation of the venue and the orderly entry and exit of personnel.

[0057] S106. Process the access control management mode classification, operation process information, and user access priority information based on the function information of the venue integrated management system to generate access control management efficiency improvement strategy information.

[0058] In one implementation, extract the data linkage mechanism characteristics, real-time monitoring range and accuracy characteristics, and data analysis ability characteristics from the function information of the venue integrated management system. For the data linkage mechanism characteristics, focus on the real-time and accuracy of the data interaction between the access control and the transaction system. For example, in a certain venue, after a user's consumption, the access control permission can be synchronized and updated within 5 seconds, which reflects the efficient real-time data linkage characteristic. For the real-time monitoring range and accuracy characteristics, for example, the monitoring cameras installed in the venue cover all entrances and exits, main passages, and activity areas, and the monitoring accuracy reaches the level of clearly identifying the facial expressions and action details of personnel, providing strong support for security and management. For the data analysis ability characteristics, include the analysis dimensions and depths of multi-source data such as access control data and consumption data. For example, it can analyze the access control peak periods at different times and the correlation between user consumption preferences and access control usage frequencies.

[0059] Extract the permission management rules, access record processing methods, and device operation stability under different access control modes from the access control management mode classification and operation process information. For the permission management rules under different access control modes, in the networked mode, set hierarchical permissions for different activities or areas. For example, when holding a concert, only VIP users can enter the inner field area; while in the offline mode, the permission management is relatively simple, mainly based on a preset offline permission list. For the access record processing methods, some venues will upload and store the access records to the central server in real time for easy query and statistics at any time; some will store them locally and upload them after the network is restored. For the device operation stability, record the number of failures and failure types of the access control devices within a certain period. For example, the face recognition access control device in a certain venue had 2 short-term jams caused by recognition errors within a month.

[0060] Extract the access privileges and access frequency fluctuation characteristics of users at different levels from the user access priority information. For the access privileges of users at different levels, senior members can enjoy privileges such as fast lanes and priority reservations for specific areas; regular members queue up for admission and reservations according to the normal process. For the access frequency fluctuation characteristics, count the changes in the access frequencies of users at different levels during different time periods. For example, during holidays, the access frequency of ordinary users increases, while the access frequency of senior members is relatively stable on weekdays. Process the characteristics of the data linkage mechanism, the scope and accuracy of real-time monitoring, the data analysis ability, the permission management rules under different access control modes, the processing method of access records, the operation stability of equipment, the access privileges of users at different levels, and the access frequency fluctuation characteristics to generate access control management efficiency impact factors, data interaction correlation data, permission and access dynamic information, and monitoring and analysis auxiliary information. Based on the above information, if the data linkage mechanism is efficient and can adjust access permissions in a timely manner according to consumption situations, promoting user consumption and enhancing the experience, this will be a positive access control management efficiency impact factor; conversely, if the access control equipment frequently malfunctions and affects passage, it will be a negative impact factor. For example, in a certain venue, due to timely data linkage, the permissions were quickly updated after users purchased high-level services, resulting in increased user satisfaction and consumption amount. This data linkage characteristic has a positive impact on the access control management efficiency.

[0061] Analyze the relationship between the data linkage mechanism and access permission management, such as the success rate and speed data of permission updates for users at different levels when the data linkage is timely. It is found that when the data linkage is good for senior users, the permission update success rate reaches 100%, and the average update time is 3 seconds. This is a set of data interaction correlation data. Combine the user access privileges and access frequency fluctuations. For example, when the access frequency of senior members increases during the peak activity period, the usage frequency and effect data of their priority admission privileges. During a certain large-scale event, the usage rate of the senior member priority admission channel increased by 50% compared to usual, and the average waiting time was shortened by 2 minutes. Based on the real-time monitoring scope, accuracy, and data analysis ability, organize the monitoring data to provide support information for operation decisions. For example, through monitoring, it is found that a certain area is crowded with people during a specific time period. By combining data analysis, it is determined that it is a popular event area, and it can be considered to increase the security personnel in this area or optimize the passage route.

[0062] Based on a preset access control management efficiency evaluation model library, the impact factors of access control management efficiency, data interaction correlation data, permission and access dynamic information, and monitoring and analysis auxiliary information are processed to generate access control management efficiency level information and efficiency improvement direction information. A model combining principal component analysis (PCA) and support vector machine (SVM) is adopted. PCA is used to reduce the dimension of multi-dimensional input data, extract the main components, and simplify the data structure; SVM is used to classify and predict the data after dimension reduction, judge the access control management efficiency level, and give the improvement direction. The model is divided into a data preprocessing layer, a feature extraction layer, and a decision-making layer. The data preprocessing layer is responsible for cleaning and standardizing the extracted various types of information; the feature extraction layer uses the PCA algorithm to extract the main components; the decision-making layer uses the SVM model for classification and prediction. The data preprocessing layer inputs the processed data into the feature extraction layer, and the feature extraction layer outputs the main component data to the decision-making layer. The model has a feedback mechanism to adjust and optimize the model parameters according to the actual access control management efficiency data. In PCA, the proportion of the main components to be retained is set, such as retaining 80% of the main components; in SVM, the kernel function type (such as the radial basis kernel function), the penalty parameter C, etc. are set. Suppose the data of a certain venue is processed. After extracting the main components by PCA, the data is input into the SVM model. After learning according to the training data, the SVM model judges that the current access control management efficiency level of this venue is medium, and at the same time gives the efficiency improvement direction, such as optimizing the data linkage mechanism, improving the stability of access control devices, etc.

[0063] Based on the access control management efficiency level information and efficiency improvement direction information, the function information of the venue integrated management system, the classification of access control management modes and operation process information, and the user access priority information are classified and processed to generate an optimized data screening result for improving access control management efficiency. The data that has a significant effect on improving efficiency is marked as key optimization data, such as the data linkage delay time, the failure frequency of access control devices, etc.; the data that is closely related to the current efficiency level is classified, such as the access frequency and permission usage of users at different levels. If the model evaluates that the access control management efficiency of a certain venue is medium and finds that the data linkage delay is the main problem, then all the data related to the data linkage delay, including the delay time records in different business scenarios, are marked as key optimization data. At the same time, the access frequency data of users at different levels in different time periods are classified and sorted for subsequent targeted analysis.

[0064] Process the optimized data screening results for improving the access control management efficiency to generate the access control management efficiency improvement strategy information. Conduct an in-depth analysis of the classified screening results and formulate specific access control management efficiency improvement strategies. For example, for the problem of data linkage delay, propose strategies such as optimizing the data transmission protocol and increasing the server bandwidth; for the problem of access control device stability, formulate a regular maintenance plan and upgrade the device hardware. Integrate information from all aspects to form a complete set of access control management efficiency improvement strategies, such as "optimize the data linkage mechanism to ensure that permission updates are completed within 1 second; strengthen the maintenance of access control devices, conduct a comprehensive inspection and fault troubleshooting once a month; dynamically adjust the permission management rules according to the user access frequency and level to improve user satisfaction", providing specific improvement directions and operation guides for the access control management of the venue.

[0065] S107, process the characteristics of the venue consumption management optimization strategy and the access control management efficiency improvement strategy information to generate the information on the integration and application results of the venue comprehensive management data resources.

[0066] In one implementation, extract the key consumption link indicators and consumption management indicators from the characteristics of the venue consumption management optimization strategy, and extract the access control security measure characteristics, user passage experience characteristics, and operation cost characteristics from the access control management efficiency improvement strategy information. Key consumption link indicators, for example, through data analysis, a certain venue finds that the ticket sales for sports events are the key consumption link, and its sales amount accounts for 40% of the total sales amount. Consumption management indicators, the expectation is to improve the ticket sales conversion rate, increase the current conversion rate of 30% to 40%, and the goal of increasing the consumption amount, planning to increase the per capita consumption amount by 20 yuan. Access control security measure characteristics, adopt advanced face recognition technology with an identification accuracy rate of over 99%, and set multiple identity verification links. User passage experience characteristics, optimize the layout of the access control system to reduce the user queuing waiting time, and the average waiting time is shortened from the original 5 minutes to 2 minutes. Operation cost characteristics, the maintenance cost of the access control device is 5000 yuan per month, and the labor cost is 8000 yuan per month.

[0067] Process the key consumption link indicators, expected improved consumption management indicators, access control security measure features, improved user passage experience features, and operating cost features to generate consumption and access control collaborative impact factors, resource optimization configuration related data, user experience improvement dynamic information, and operating cost control auxiliary information. Based on the above information, if after strengthening the access control security measures, the users' confidence in the venue security increases and the ticket sales of the event increase by 15%, then the promotional effect of this access control security measure on consumption can be used as a positive indicator of the consumption and access control collaborative impact factor. It is found through analysis that by transferring some marketing resources from the ticket promotion with low conversion rate to the ticket promotion of the event and combining with the optimized access control management, while the ticket sales of the event increase, the overall operating cost does not increase, which is the manifestation of the resource optimization configuration related data. With the optimization of the access control system, the users' waiting time is reduced, the satisfaction is improved, the feedback praise rate increases from 70% to 85%, and the participation rate of the event increases, with the number of participants increasing by 10%. These data constitute the user experience improvement dynamic information. By negotiating with the equipment supplier, the maintenance cost of the access control equipment is reduced by 10%, and at the same time, the personnel scheduling is optimized, and the labor cost is reduced by 5%. These data are the operating cost control auxiliary information.

[0068] Based on the preset venue comprehensive management evaluation model library, process the consumption and access control collaborative impact factors, resource optimization configuration related data, user experience improvement dynamic information, and operating cost control auxiliary information to generate venue comprehensive management benefit level information and development trend change information. Adopt a model combining grey relational analysis (GRA) and neural network. Grey relational analysis is used to determine the degree of association between various factors of consumption and access control, and the neural network is used to predict the venue comprehensive management benefit level and development trend. The model is divided into a data preprocessing layer, a relational analysis layer, and a prediction layer. The data preprocessing layer is responsible for normalizing the collected data; the relational analysis layer calculates the correlation degree of each factor using grey relational analysis; the prediction layer uses the neural network model for prediction. The data preprocessing layer inputs the processed data into the relational analysis layer, and the relational analysis layer outputs the correlation degree data to the prediction layer. The model has a feedback mechanism to adjust the model parameters according to the actual operation data. In grey relational analysis, the distinguishing coefficient takes a value of 0.5; in the neural network, the learning rate is set to 0.001, the number of hidden layer nodes is determined according to the empirical formula, and the number of iterations is 500 times. After preprocessing the information such as the consumption and access control collaborative impact factors and resource optimization configuration related data, input them into grey relational analysis to calculate the correlation degree of each factor. Then input the correlation degree data into the neural network model to predict that the venue comprehensive management benefit level is good, and at the same time predict that within the next six months, with the continuous optimization of the consumption and access control collaborative effect, the venue income will increase at a rate of 5% per month.

[0069] Based on the information of the comprehensive management benefit level and the change information of the development trend of the venue, classify the characteristics of the optimization strategy for venue consumption management and the information of the strategy for improving the access control management efficiency, and generate the screening results for the integration of venue comprehensive management data resources. Mark the data that has a significant effect on improving the comprehensive benefit as the key attention data, such as the consumption management strategy related to the ticket sales of event activities, efficient access control security measures, etc.; mark the data with general effects as the data to be improved, such as the promotion strategy of some tickets with low conversion rates. If the model evaluates that the comprehensive management benefit level of the venue is good, and the development trend shows that the growth potential of event activity-related businesses is large, then mark the ticket sales strategy for event activities and the related access control security guarantee strategy as the key attention data. At the same time, mark the promotion strategy of small event tickets with low conversion rates as the data to be improved for subsequent targeted optimization.

[0070] Process the screening results of the integration of venue comprehensive management data resources to generate the characteristics of the integration and application results of venue comprehensive management data resources. For the key attention ticket sales strategy and access control security guarantee strategy for event activities, increase resource investment and optimize the event planning and access control management processes; for the promotion strategy of low-conversion tickets to be improved, make adjustments or discard them. Form the characteristics of the integration and application results of venue comprehensive management data resources, such as "by focusing on event activities, optimizing the collaborative strategy of consumption management and access control management, it is expected that the venue will achieve a 30% increase in revenue, a 90% increase in user satisfaction, control the operating cost within a reasonable range, optimize resource allocation, and significantly enhance the comprehensive competitiveness of the venue in the next six months", providing a decision-making basis for the long-term stable operation of the venue.

[0071] In this application, the server obtains multi-source information such as venue consumption management, access control management, venue type, comprehensive system functions, and target users. Then, process the target user information, generate user access priority information based on consumption records, membership levels, etc., and determine the priority degree and change trend of users in venue access. For the venue consumption management information, generate consumption data management process information through data processing of links such as ticket purchase and payment, and combine with the system function information to generate optimization strategy characteristics to improve the consumption management level. For the access control management information and venue type information, analyze the network connection status, permission judgment method, etc., and generate access control management mode classification and operation process information. Then, based on the system function information, integrate the access control management mode and user access priority information to generate access control management efficiency improvement strategy information. Finally, integrate the consumption management optimization strategy and the access control management efficiency improvement strategy, extract key indicators, generate collaborative impact factors, etc., and obtain the comprehensive management benefit level and development trend through pre-set model evaluation, complete the integration of data resources, provide comprehensive decision-making support for venue operation, and achieve efficient operation and service optimization of the venue.

[0072] In one implementation, such asFigure 4 As shown in the figure, the present application further provides a data management device for a venue platform, including: an acquisition module 401, configured to acquire venue consumption management information, access control management information, venue type information, venue integrated management system function information, and target user information;

[0073] A processing module 402, configured to process the target user information to generate user access priority information; process the venue consumption management information to generate venue consumption data management process information; process the venue consumption data management process information based on the venue integrated management system function information to generate venue consumption management optimization strategy features; process the access control management information and the venue type information to generate access control management mode classification and operation process information; process the access control management mode classification and operation process information and the user access priority information based on the venue integrated management system function information to generate access control management efficiency improvement strategy information; process the venue consumption management optimization strategy features and the access control management efficiency improvement strategy information to generate venue integrated management data resource integration and application result information.

[0074] The computer-readable storage medium provided in the above embodiment of the present application and the data management method for the venue platform provided in the embodiment of the present application are based on the same inventive concept and have the same beneficial effects as the method adopted, run or implemented by the application program stored therein.

[0075] Each embodiment in the present application is described in a related manner. For the same or similar parts among the embodiments, reference can be made to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the embodiments of the data management method, electronic device, electronic equipment, and readable storage medium for evaluating the venue platform, since they are basically similar to the embodiments of the data management method for the above venue platform, the description is relatively simple, and reference can be made to the corresponding parts of the embodiments of the data management method for the above venue platform.

Claims

1. A data management method for a venue platform, characterized in that, Including: Obtain venue consumption management information, access control management information, venue type information, venue integrated management system function information, and target user information; Process the target user information to generate user access priority information; Process the venue consumption management information to generate venue consumption data management process information; Based on the venue integrated management system function information, process the venue consumption data management process information to generate venue consumption management optimization strategy features; Process the access control management information and venue type information to generate access control management mode classification and operation process information; Based on the venue integrated management system function information, process the access control management mode classification and operation process information and user access priority information to generate access control management efficiency improvement strategy information; Process the venue consumption management optimization strategy features and access control management efficiency improvement strategy information to generate venue integrated management data resource integration and application result information.

2. The method according to claim 1, characterized in that Process the target user information to generate user access priority information, including: Extract and screen the user consumption records, membership levels, historical access frequencies, types of venue activities participated in, and activity levels in the target user information to generate consumption contribution factors, membership level correlation data, access activity data, and activity participation information; Process the consumption contribution factors, membership level correlation data, access activity data, and activity participation information to generate user access priority level information and priority dynamic change information; Based on the user access priority level information and priority dynamic change information, classify and label the relevant data in the target user information to generate a user information screening result; Summarize and analyze the user information screening result to generate user access priority features.

3. The method according to claim 1, characterized in that, Process the venue consumption management information to generate venue consumption data management process information, including: Extract and screen the ticket purchase type, payment status, outbound situation, form of admission voucher generation, and financial record generation timing information in the venue consumption management information to generate ticket consumption category factors, payment and outbound correlation data, admission voucher generation information, and financial record trigger information; Process the ticket consumption category factors, payment and outbound correlation data, admission voucher generation information, and financial record trigger information to generate venue consumption data transfer level information and consumption process change information; Based on the venue consumption data transfer level information and consumption process change information, classify and label the venue consumption management information to generate a consumption data screening result; Summarize and analyze the consumption data screening result to generate venue consumption data management process features, where the venue consumption data management process features are used to characterize the data processing process and change trend of venue consumption in different links.

4. The method according to claim 1, wherein Based on the venue integrated management system function information, process the venue consumption data management process information to generate venue consumption management optimization strategy features, including: Extract transaction management and access control management data linkage characteristic information, real-time monitoring ability information, and data analysis dimension information from the venue integrated management system function information; Extract various ticket sales data, payment data, data related to admission vouchers, and financial record data from the venue consumption data management process information; Process the information on the linkage characteristics of transaction management and access control management data, real-time monitoring capabilities, information data analysis dimensions, various ticket sales data, payment data, data related to admission vouchers, and financial record data to generate consumption business impact factors, data processing efficiency data, sales and payment correlation information, and admission and financial process information; Process the consumption business impact factors, data processing efficiency data, sales and payment correlation information, and information related to the admission and financial processes to generate venue consumption management optimization level information and consumption management strategy adjustment direction information; Based on the venue consumption management optimization level information and consumption management strategy adjustment direction information, classify the corresponding data in the venue integrated management system function information and venue consumption data management process information to generate an optimized data screening result for venue consumption management; Process the optimized data screening result for venue consumption management to generate venue consumption management optimization strategy characteristics.

5. The method according to claim 1, wherein Process the access control management information and venue type information to generate access control management mode classification and operation process information, including: Process the access control management information and venue type information to generate access control network connection information; If the access control network connection information is in the networked mode, generate access permit information based on the access request of the target user and send it to the target user; Receive the access control scanning the access permit information displayed by the target user; Process the access permit information to generate the first access control access information, where the first access control access information is used to represent whether the access control allows the target user to pass; If the access control network connection information is in the offline mode, generate QR code information based on the access request of the target user and send it to the target user; Receive the access control scanning the QR code information displayed by the target user; Process the QR code information to generate the second access control access information, where the second access control access information is used to represent whether the access control allows the target user to pass; Generate access control management mode classification and operation process information based on the first access control access information and the second access control access information.

6. The method according to claim 1, wherein Based on the venue integrated management system function information, process the access control management mode classification and operation process information and user access priority information to generate access control management efficiency improvement strategy information, including: Extract the data linkage mechanism characteristics, real-time monitoring scope and accuracy characteristics, and data analysis ability characteristics from the venue integrated management system function information; Extract the permission management rules, access record processing methods, and device operation stability under different access control modes from the access control management mode classification and operation process information; Extract the access privileges of different levels of users and access frequency fluctuation characteristics from the user access priority information; Process the characteristics of the data linkage mechanism, the scope and accuracy characteristics of real-time monitoring, the data analysis ability characteristics, the permission management rules under different access control modes, the processing method of access records, the operation stability of devices, the access privileges of users at different levels, and the access frequency fluctuation characteristics to generate the access control management effectiveness impact factors, data interaction correlation data, permission and access dynamic information, and monitoring and analysis auxiliary information; Process the access control management effectiveness impact factors, data interaction correlation data, permission and access dynamic information, and monitoring and analysis auxiliary information to generate the access control management effectiveness level information and the effectiveness improvement direction information; Based on the access control management effectiveness level information and the effectiveness improvement direction information, classify and process the function information of the venue integrated management system, the access control management mode classification and operation process information, and the user access priority information to generate the optimized data screening results for improving the access control management effectiveness; Process the optimized data screening results for improving the access control management effectiveness to generate the access control management effectiveness improvement strategy information.

7. The method according to claim 1, characterized in that, Process the characteristics of the venue consumption management optimization strategy and the access control management effectiveness improvement strategy information to generate the information on the integration and application results of the venue integrated management data resources, including: Extract the key consumption link indicators and consumption management indicators from the characteristics of the venue consumption management optimization strategy; Extract the access control security measure characteristics, user passage experience characteristics, and operation cost characteristics from the access control management effectiveness improvement strategy information; Process the key consumption link indicators, the expected improved consumption management indicators, the access control security measure characteristics, the improved user passage experience characteristics, and the operation cost characteristics to generate the consumption and access control collaborative impact factors, resource optimization configuration correlation data, user experience improvement dynamic information, and operation cost control auxiliary information; Process the consumption and access control collaborative impact factors, resource optimization configuration correlation data, user experience improvement dynamic information, and operation cost control auxiliary information to generate the venue integrated management benefit level information and the development trend change information; Based on the venue integrated management benefit level information and the development trend change information, classify and process the characteristics of the venue consumption management optimization strategy and the access control management effectiveness improvement strategy information to generate the screening results for the integration of the venue integrated management data resources; Process the screening results for the integration of the venue integrated management data resources to generate the characteristics of the integration and application results of the venue integrated management data resources.

8. A data management device for a venue platform, characterized in that, The device includes: An acquisition module for acquiring venue consumption management information, access control management information, venue type information, function information of the venue integrated management system, and target user information; A processing module, configured to process target user information to generate user access priority information; process venue consumption management information to generate venue consumption data management process information; process the venue consumption data management process information based on the venue integrated management system function information to generate venue consumption management optimization strategy features; process access control management information and venue type information to generate access control management mode classification and operation process information; process the access control management mode classification and operation process information and user access priority information based on the venue integrated management system function information to generate access control management efficiency improvement strategy information; process the venue consumption management optimization strategy features and access control management efficiency improvement strategy information to generate venue integrated management data resource integration and application result information.

9. An electronic device, characterized in that, Comprising: A first processor; And a memory for storing executable instructions of the first processor; Wherein, the first processor is configured to execute the data management method of the venue platform according to any one of claims 1 to 7 by executing the executable instructions.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a second processor, it implements the data management method of the venue platform according to any one of claims 1 to 7.

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