Intelligent management system and method for text, travel and research

Abstract

The invention discloses an intelligent management system for text travel research, belongs to the technical field of educational informatization, and is used for solving the problem of how to improve approval and response efficiency and activity safety. The intelligent management system comprises a platform supervision terminal which is used for performing school information management, research service provider qualification auditing, fund payment management, travel record review and dynamic authority distribution; the platform operation end is used for executing research and study route auditing, order management, service party dynamic ranking statistics and big data display; the service party management end is used for issuing research and study routes and managing travel process traces; the school management end is used for issuing personalized research and study requirements, selecting routes, configuring accompanying persons and managing student sign-in and evaluation; and the applet end is used for the parent end to inquire payment and submit evaluation, and the school end to track the registration and travel data in real time and trigger early warning when the registration and travel data are abnormal.

Description

Technical Field

[0001] This application relates to the field of educational informatization technology, and particularly to an intelligent management system and method for cultural and tourism research and study. Background Art

[0002] The cultural and tourism research and study management system is a comprehensive system covering multiple links such as research and study activity planning, execution, monitoring, and evaluation. Its core functions include but are not limited to: Resource management: integrating various tourism resources, such as scenic spots, hotels, catering, transportation, etc., to provide rich choices for research and study activities; Team management: effectively managing and scheduling personnel such as students, teachers, and tour guides participating in research and study activities; Safety management: ensuring the safe progress of research and study activities, including functions such as itinerary monitoring, emergency contact, and accident handling; Data analysis: collecting and analyzing data of research and study activities to provide a basis for optimizing management and improving service quality.

[0003] In traditional research and study activity management, data is isolated among schools, service providers, and regulatory departments. For example, there is a lack of linkage between school demand release and service provider route design, and qualification review and order management rely on manual transmission, resulting in a long approval process (such as multiple offline submissions of materials for service provider qualification review); at the same time, permission allocation is rigid. For example, schools cannot actively release personalized demands, and service providers need to negotiate price adjustments with multiple parties, resulting in low response efficiency; at the same time, abnormal events during the travel process (such as health risks) cannot be linked to emergency resources in real time.

[0004] 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 therefore may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0005] (1) Technical Problems to be Solved

[0006] The embodiments of this application provide an intelligent management system and method for cultural and tourism research and study, which can solve the problems of how to improve the approval and response efficiency and the safety of research and study activities in the prior art.

[0007] (2) Technical Solutions

[0008] To solve the above technical problems, this application provides the following technical solutions:

[0009] On the one hand, an intelligent management system for cultural and tourism research and study is provided. The intelligent management system for cultural and tourism research and study includes:

[0010] A platform supervision terminal, which is used to execute school information management, qualification review of research and study service providers, fund settlement management, travel record review, and dynamic permission allocation;

[0011] The platform operation terminal is used to execute research and study route review, order management, dynamic ranking statistics of service providers, and big data display;

[0012] The service provider management terminal is used to publish research and study routes and manage the records left during the travel process;

[0013] The school management terminal is used to publish personalized research and study requirements, select routes, configure accompanying personnel, and manage student check-in and evaluation;

[0014] The mini-program terminal is used for parents to query payments, submit evaluations, and for schools to track registration and travel data in real time. When the registration and travel data are abnormal, an early warning is triggered.

[0015] In some embodiments, it further includes: a dynamic permission control unit that dynamically allocates operation permissions based on roles. The operation permissions include: the supervision terminal exclusively has the qualification review right and the fund disbursement approval right; the service provider is only allowed to submit route release applications and price adjustment applications; the school terminal exclusively has the route requirement release right and the accompanying personnel configuration right; a full-process data closed-loop engine: integrating pre-trip, in-trip, and post-trip data to generate a full-life-cycle data chain; an intelligent decision support module: including a route recommendation algorithm module, a risk early warning unit, and a blockchain evidence storage sub-module. The route recommendation algorithm module generates a priority ranking based on the characteristics of school stages, historical evaluations, and cost breakdown structures. The risk early warning unit monitors travel deviation from the route and abnormal check-in rates in real time and triggers hierarchical alarms. The blockchain evidence storage sub-module encrypts and uploads operations such as fund disbursement, complaint handling, and permission changes to the blockchain.

[0016] In some embodiments, it further includes: a real-time health monitoring module: collecting students' health monitoring data through students' wearable devices. The students' health monitoring data includes GPS trajectories, heart rates, and body temperature data, and synchronizing them to the research and study activity student check-in situation module of the school management terminal; a dynamic route adjustment module that automatically adjusts the order of research and study route nodes or replaces alternative routes based on real-time traffic data, weather warnings, and students' health monitoring data; a resource real-time monitoring module that calculates the route feasibility in real time through in-vehicle GPS, scenic area crowd heat maps, and accompanying material inventory data and triggers resource scheduling instructions.

[0017] In some embodiments, the resource real-time monitoring module includes: a dynamic route adjustment engine and an emergency resource linkage unit. The dynamic route adjustment engine automatically triggers the switching of alternative routes according to health anomaly data and updates the route information in the "pre-trip management" of the service provider management terminal; the emergency resource linkage unit combines the "personnel verification and supervision" data of the platform supervision terminal, schedules the nearest accompanying personnel with first aid qualifications, and locates the nearest medical resources through the "vehicle monitoring" module.

[0018] In some embodiments, it further includes: a multi-source evaluation acquisition module that integrates text, voice, image, and sensor data; an emotion analysis engine that analyzes the emotional tendency of the text through NLP, extracts the facial expression features of students by combining image recognition technology, and generates a comprehensive evaluation index.

[0019] In some embodiments, it further includes: a personnel ability map module that constructs a skill tag library for accompanying teachers / tour guides; an emergency plan linkage module that automatically matches the accompanying personnel with corresponding skills and generates an emergency task list according to the route risk level and the special needs of students.

[0020] In some embodiments, it further includes: an operation behavior chain that records user operations and permission changes on the blockchain to ensure traceability of operations; a dynamic permission audit engine that detects in real time whether the permission allocation conforms to the preset rules, and automatically freezes the account and issues an alarm for abnormal operations.

[0021] In some embodiments, it further includes: a requirement semantic parsing module that parses the personalized requirements issued by the school, extracts keywords, and generates requirement vectors; a service provider intelligent matching engine that recommends the most suitable service provider based on the requirement vectors and the historical route data of the service provider, and generates a cooperation proposal.

[0022] On the other hand, a cultural and tourism research and study intelligent management system is provided. The cultural and tourism research and study intelligent management system includes the following steps:

[0023] Multi-role collaborative process execution: The service provider submits research and study route information through the service provider management terminal, and the platform supervision terminal completes qualification review based on OCR recognition and the blacklist library; the school management terminal issues personalized requirements, and the platform operation terminal recommends suitable service providers through semantic parsing and the intelligent matching engine; parents complete registration and payment through the mini-program terminal, and the system automatically generates an insurance list and synchronizes it to the service provider management terminal;

[0024] Dynamic permission and data linkage: When the service provider submits a price adjustment application, the dynamic permission control unit restricts only price reduction operations and triggers the platform supervision terminal for review; when the student attendance rate is lower than the threshold, the risk warning unit synchronously pushes an alarm to the school management terminal and the service provider management terminal;

[0025] Full-process intelligent decision-making: Dynamically adjust the research and study route based on students' health data, and link the resource monitoring module to schedule first aid resources; cross-verify text evaluations and image facial expression data through the emotion analysis engine to generate a false feedback identification report.

[0026] In some embodiments, the following steps are further included: Multimodal data analysis: Integrate the "travel evaluation" text and image data on the applet side with the sensor data of the wearable device to generate a comprehensive evaluation report; Blockchain dynamic evidence storage: Store the hash value of the evaluation data, the price adjustment review record, and the permission change operation on the blockchain; Intelligent feedback optimization: Automatically optimize the route recommendation algorithm based on the evaluation report and restrict the price adjustment permission of service providers with low scores.

[0027] (III) Beneficial effects

[0028] Compared with the prior art, the beneficial effects brought by the technical solution provided in the embodiment of the present application at least include:

[0029] This system realizes full-process management through a multi-role collaborative architecture and an intelligent engine. The specific process is as follows: The platform supervision end performs OCR recognition on the service provider's qualifications and compares them with the blacklist. After passing the review, permissions are dynamically allocated; The platform operation end generates a dynamic ranking of service providers based on historical evaluation data and presents the route popularity and risk indicators in real time through the big data display center; When the service provider management end publishes a research and study route, it automatically associates the course objectives with the school stage labels and uploads the in-trip GPS trajectory to the data center; After the school management end publishes a demand, the system parses the semantics and matches the service provider's historical course data. After selecting a route, it configures the accompanying teacher; After the parent end completes the payment and submits an evaluation, the school end can view the sign-in rate and travel trajectory in real time, and abnormal data triggers an alarm. The intelligent management system for cultural and tourism research and study shortens the qualification review duration and improves the order processing efficiency through dynamic permission control and process automation. The intelligent matching engine shortens the response cycle between the school's demand release and the service provider. At the same time, real-time monitoring and early warning reduce the incidence of safety accidents. The demand release at the school end and the route design of the service provider form a closed loop, improving the success rate of supply-demand matching and enhancing the collaborative ability of all parties. Brief description of the drawings

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0031] Figure 1 It is the system block diagram of the intelligent management system for cultural and tourism research and study provided by the embodiment of the present application.

[0032] Through the above drawings, the clear embodiments of the present application have been shown, and there will be more detailed descriptions later. These drawings and text descriptions are not intended to limit the scope of the concept of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. Specific embodiments

[0033] In order to make the objectives, technical solutions and advantages of the present application clearer, the implementation methods of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] In the existing intelligent management system for cultural tourism and study, the data between the schools, service providers, and regulatory departments that manage study activities are isolated. For example, there is a lack of linkage between the school's demand release and the service provider's route design, and qualification review and order management rely on manual transmission, resulting in lengthy approval processes (such as the service provider's qualification review requires offline submission of materials); at the same time, the allocation of authority is rigid. For example, the school side cannot actively release personalized demands, and the service provider's price adjustment requires negotiation among multiple parties, resulting in low response efficiency; at the same time, abnormal events during travel (such as health risks) cannot be linked to emergency resources in real time.

[0036] In order to solve the above technical problems, this embodiment provides a cultural tourism research and study intelligent management system. Figure 1 As shown, Figure 1 It is a system block diagram of the cultural tourism and study intelligent management system provided in Example 1 of the present application.

[0037] The intelligent management system for cultural tourism and study includes: platform supervision end 1, platform operation end 2, service provider management end 3, school management end 4 and mini program end 5.

[0038] The platform supervision terminal 1 is used to perform school information management, research and study service provider qualification review, fund payment management, travel record review and dynamic authority allocation. Among them, the platform supervision terminal 1 uses the "school information management" module, "research and study service provider qualification management" module, and "fund payment management" module functions in the computer software, and synchronizes data with the platform operation terminal 2 and the service provider through the interface to realize qualification review, such as OCR recognition of business licenses, fund payment approval and dynamic authority allocation, such as restricting the school side from having the right to review the service provider's qualifications.

[0039] The platform operation terminal 2 is used to perform study route review, order management, dynamic ranking statistics of service providers and big data display; illustratively, the platform operation terminal 2 calls the "Study Route Dynamics" module and "Order Management" module functions in the platform operation terminal 2 computer to perform real-time statistics on the ranking of service providers. The ranking can be based on historical evaluations, complaint rates and other indicators, and a visual report can be generated through the big data display center.

[0040] The service provider management terminal 3 is used to publish research and study routes, manage the records left during the trip, apply for fund disbursement, and handle complaints. Exemplarily, the service provider management terminal 3 uses the function of the "Research and Study Practice Course Route Display" module on the computer of the service provider management terminal 3 to publish routes, and combines the "Pre-trip, During-trip, and Post-trip Management" module to upload GPS trajectories and sign-in logs to the data center for the platform supervision terminal 1 and the school management terminal 4 to view in real time.

[0041] The school management terminal 4 is used to publish personalized research and study needs, select routes, configure accompanying personnel, and manage student sign-in and evaluations. Exemplarily, the school management terminal 4 submits personalized needs (such as "Red Research and Study + Programming Practice") through the function of the "School Demand Release" module on the computer of the school management terminal 4, and the system automatically analyzes the semantics and matches the service provider; uses the function of the "Set Accompanying Personnel" module to configure the list of teachers, and the data is synchronized to the mini-program terminal 5 for parents to view.

[0042] The mini-program terminal 5 is used for parents to query payments, submit evaluations, and for the school to track registration and travel data in real time, and trigger an alarm when the registration and travel data is abnormal. Exemplarily, the parent side submits data through the "Payment Query" module and the "Travel Evaluation" module, and the school side monitors the progress of the activity in real time through the "Registration Tracking" module and the "Sign-in Status" module. The data flows back to the full-process data closed-loop engine 7, and the mini-program terminal 5 can view it in real time through the mini-program terminal 5 (mobile phone).

[0043] This system realizes full-process management through a multi-role collaborative architecture and an intelligent engine. The specific process is as follows: The platform supervision terminal 1 reviews the qualifications of the service provider (such as OCR recognition and blacklist comparison), and dynamically allocates permissions after passing the review; the platform operation terminal 2 generates a dynamic ranking of service providers based on historical evaluation data, and presents the route popularity and risk indicators in real time through the big data display center; when the service provider management terminal 3 publishes a research and study route, it automatically associates the course objectives with the academic segment labels, and uploads the in-trip GPS trajectory to the data center; after the school management terminal 4 publishes the demand, the system analyzes the semantics and matches the historical course data of the service provider, and configures the accompanying teachers after selecting the route; the parent side completes the payment and submits the evaluation, and the school side views the sign-in rate and travel trajectory in real time, and abnormal data triggers an alarm. The cultural and tourism research and study intelligent management system shortens the qualification review time through dynamic permission control and process automation, improves the order processing efficiency, and the intelligent matching engine shortens the response cycle between the school demand release and the service provider. At the same time, real-time monitoring and early warning reduce the incidence of safety accidents, form a closed loop between the school demand release and the service provider route design, improve the success rate of supply and demand matching, and enhance the collaborative ability of all parties.

[0044] In some embodiments, the intelligent management system for cultural and tourism research and study further includes: a dynamic permission control unit 6, a full-process data closed-loop engine 7, and an intelligent decision-making support module 8. The dynamic permission control unit 6 dynamically allocates operation permissions based on roles. The operation permissions include: the platform supervision terminal 1 exclusively enjoys the qualification review right and the fund disbursement approval right; the service provider is only allowed to submit route release applications and price adjustment applications; the school terminal exclusively enjoys the route demand release right and the accompanying personnel configuration right. Exemplarily, based on the "role management" and "permission management" modules of the platform supervision terminal 1, a role permission mapping table is defined (for example, the service provider can only submit price adjustment applications, and the supervision terminal exclusively enjoys the review right). When the service provider initiates a price adjustment application on the service provider management terminal 3, the system automatically verifies whether it complies with the rule of "only price reduction is allowed" and triggers the supervision terminal review process. The full-process data closed-loop engine 7 integrates pre-trip, in-trip, and post-trip data to generate a full-life cycle data chain. For example, the full-process data closed-loop engine 7 integrates data from each terminal: pre-trip (service provider qualifications, route review records), in-trip (GPS positioning, sign-in logs), post-trip (evaluation text, satisfaction scores), constructs a standardized data model, and can also implement data visualization analysis through existing algorithms and programs of the platform supervision terminal 1 and the platform operation terminal 2. The intelligent decision-making support module 8 includes: a route recommendation algorithm module, a risk warning unit, and a blockchain evidence storage sub-module. The route recommendation algorithm module generates a priority ranking based on the school stage characteristics, historical evaluations, and cost breakdown structure. The risk warning unit monitors in real time the deviation from the route during travel and abnormal sign-in rates and triggers hierarchical alarms. The blockchain evidence storage sub-module encrypts and uploads operations such as fund disbursement, complaint handling, and permission changes to the blockchain. Exemplarily, the route recommendation algorithm module calculates the route matching degree based on the "suitable school stage" and "course objective" tags and historical evaluation data (for example, for primary school stage routes, service providers with high safety factors are preferentially recommended); the risk warning unit monitors the GPS data of the "vehicle monitoring" module in real time. If the vehicle carrying passengers deviates from the route by more than the threshold, an alarm is automatically pushed to the service provider and the supervision terminal; while the blockchain evidence storage sub-module generates hash values for key operations such as "fund disbursement application" and "complaint handling" and uploads them to the blockchain to ensure the immutability of the data.

[0045] In some embodiments, the intelligent management system for cultural and tourism research and study further includes: a real-time health monitoring module, a dynamic route adjustment module, and a real-time resource monitoring module. The real-time health monitoring module collects students' health monitoring data through students' wearable devices (such as smart watches). The students' health monitoring data includes GPS trajectories, heart rates, and body temperature data, and is synchronized to the research and study activity student check-in status module of the school management terminal 4. The system sets a threshold (such as body temperature ≥ 37.3°C) to trigger an alarm. The dynamic route adjustment module automatically adjusts the order of research and study route nodes or replaces the alternate route based on real-time traffic data, weather warnings, and students' health monitoring data. For example, when the school management terminal 4 detects that a student's health is abnormal (such as an excessive body temperature), it calls the research and study leave approval module to trigger a route change request; the system automatically selects a route with sufficient surrounding medical resources (such as within 5 kilometers of a hospital) according to the alternate route library in the "display of research and study practice activity course route" module. The real-time resource monitoring module calculates the route feasibility in real time and triggers a resource scheduling instruction through in-vehicle GPS, scenic area crowd heat maps, and inventory data of accompanying supplies. Exemplarily, the real-time resource monitoring module obtains real-time location data through the "vehicle monitoring" module of the service provider management terminal 3, combines the first aid qualification information in the "personnel verification and supervision" module, and schedules the nearest accompanying medical staff; if the crowd density of the alternate route exceeds the limit (analyzed through the heat map of the "big data display center" module of the platform operation terminal 2), it automatically switches to a low-density route. The real-time health monitoring module, the dynamic route adjustment module, and the real-time resource monitoring module work together. The dynamic route adjustment depends on the real-time data of resource monitoring to ensure the linkage between route safety and resource availability in case of emergencies, solve the problem of lagging response of traditional systems, and improve the emergency event handling efficiency by 60%.

[0046] Furthermore, the real-time resource monitoring module includes: a dynamic route adjustment engine and an emergency resource linkage unit. The dynamic route adjustment engine automatically triggers the switching of the alternate route according to the health abnormality data and updates the route information in the "pre-trip management" module of the service provider management terminal 3; the emergency resource linkage unit combines the data in the "personnel verification and supervision" module of the platform supervision terminal 1, schedules the nearest accompanying personnel with first aid qualifications, and locates the nearest medical resources through the "vehicle monitoring" module.

[0047] To more quickly and accurately understand the situation of students, the cultural and tourism research and study intelligent management system also includes: a multi-source evaluation collection module and an emotion analysis engine, which integrate text, voice, image and sensor data. For example, parents submit text and voice feedback through the "Travel Evaluation" module of the mini-program terminal 5; the health monitoring data of the student wearable device is monitored and synchronized to the school management terminal 4. The activity photos are collected by the student wearable device or the image collection device (such as a camera) carried by the teacher, and the activity photos are uploaded to the real-time health monitoring module. The real-time health monitoring module extracts the student's expression features (such as the proportion of smiling faces) through image recognition technology. The emotion analysis engine analyzes the text emotion tendency through NLP, combines the image recognition technology to extract the student's expression features, and generates a comprehensive evaluation index. Exemplarily, perform NLP analysis on the parent evaluation text, extract keywords (such as "interesting", "dangerous"), and at the same time compare the image expression data. If the text score is high but the proportion of fatigued expressions exceeds 30%, it is marked as an abnormal evaluation. The abnormal data triggers the "Complaint Handling Process for Research and Study Practice Activities" of the system, requiring manual review. In this way, the problem of distortion of a single evaluation dimension is solved through cross-verification of multi-modal data, and the false feedback recognition rate is improved.

[0048] The cultural and tourism research and study intelligent management system also includes: a personnel ability map module and an emergency plan linkage module. The personnel ability map module constructs a skill label library for accompanying teachers / tour guides. For example, teacher skill labels (such as "first aid qualification") are constructed in the "Teacher Management" module of the school management terminal 4, and are linked with the functions of the "Accompanying Personnel Configuration" module. The emergency plan linkage module automatically matches the accompanying personnel with corresponding skills according to the route risk level and the special needs of students, and generates an emergency task list. If the selected route includes high-risk projects (such as rock climbing), the system automatically matches teachers with first aid qualifications and generates a first aid supply list through the "Pre-trip Management" module. The supply list is synchronized to the "Employee Verification and Supervision" module of the service provider management terminal 3 to ensure that the accompanying vehicles are equipped with corresponding resources. Through the above settings, the personnel ability and the emergency plan data are linked to solve the problem of insufficient preparation for high-risk activities and improve the material completeness rate.

[0049] In some embodiments, the intelligent management system for cultural and tourism research and study further includes: an operation behavior chain and a dynamic permission auditing engine. The operation behavior chain records user operations and permission changes on the blockchain to ensure the traceability of operations. For example, when the platform supervision end 1 approves in the "funds disbursement management" module, the system calls the blockchain evidence storage sub-module to record the operation time, approver, and amount hash value on the blockchain. The dynamic permission auditing engine detects in real time whether the permission allocation conforms to the preset rules, and automatically freezes the account and issues an alarm for abnormal operations. The dynamic permission auditing engine monitors the permission change records of the "role management" module in real time. If it detects that the school end accesses the "route price adjustment application" function beyond its authority, it immediately freezes the account and generates an audit log. With such settings, the permission change and operation evidence storage form a two-layer protection, solving the problem of permission abuse and significantly improving the interception rate of illegal operations.

[0050] In some embodiments, the intelligent management system for cultural and tourism research and study further includes: a demand semantic analysis module and a service provider intelligent matching engine. The demand semantic analysis module analyzes the personalized demands released by schools, extracts keywords, and generates demand vectors. For example, when a school releases a demand for "red research and study + programming practice" through the school management end 4, the system extracts keywords and generates a demand vector (such as an education weight of 0.6 and a programming skill weight of 0.4). The service provider intelligent matching engine recommends the service provider with the highest degree of fit and generates cooperation suggestions based on the demand vector and the historical route data of service providers. The service provider intelligent matching engine calls the "dynamic ranking of research and study service providers" data, filters service providers that meet both the "red education" and "STEM courses" labels, and pushes their historical success rates (such as the satisfaction rate of a certain service provider for red research and study is 95%). With such settings, the semantic analysis and dynamic ranking data are linked, solving the problem of inefficient supply-demand matching and shortening the route design cycle.

[0051] In some embodiments, the platform supervision end 1 includes the following modules: school management (school information, grade setting, class information), student management (student information, leave information), research and study practice activity service management (service provider qualification management, course route display, funds disbursement management, travel record review, dynamic ranking statistics), research and study service provider management (service provider registration review, institutional information management), system management (account management, permission management, log management). Its engines include: a dynamic permission control engine (belonging to the system management module), which is responsible for the dynamic allocation of role permissions and triggering the audit process, and a blockchain evidence storage engine (belonging to the funds disbursement management and complaint handling modules), which is used for encrypting and storing key operations.

[0052] The platform operation end 2 includes the following modules: basic data management (school information, service provider information, course management), operation management (analysis and statistics of research and study activities, travel management, order management), and big data display center (visualization of the whole process data (route popularity, service provider ranking, risk indicators)). The platform operation end 2 also includes the following engines: intelligent matching engine (belonging to the course management module), which matches service providers based on semantic parsing and historical data; and data analysis engine (belonging to the big data display center), which is used to generate dynamic rankings and statistical reports.

[0053] The service provider management end 3 includes the following modules: operation management (route release, registration tracking, in-trip record, fund settlement application), financial management (account management, payment docking), evaluation management (satisfaction evaluation, complaint handling), and also includes the following engines: route dynamic adjustment engine (belonging to the in-trip management module), which adjusts the route according to real-time data (such as GPS deviation); and emergency resource scheduling engine (belonging to the module for verifying and supervising practitioners), which matches first aid personnel and vehicle resources.

[0054] The school management end 4 includes the following modules: activity management (route selection, demand release, accompanying personnel configuration, check-in management), order management (service order, refund approval), system management (account configuration, class teacher permission setting), and also includes the following engines: demand parsing engine (belonging to the school demand release module), which parses personalized demands and generates demand vectors; and comprehensive evaluation engine (belonging to the evaluation summary module), which integrates multi-source data to generate student quality reports.

[0055] The mini-program end 5 includes the following modules: parent end (payment query, travel evaluation, leave management), school end (registration tracking, check-in monitoring, complaint handling), operation end (route review, order management), and also includes the following engines: multi-modal data acquisition engine (belonging to the parent end evaluation module), which integrates text, image, and sensor data; and real-time warning engine (belonging to the school end travel situation module), which pushes warnings for abnormal check-in rates or route deviations.

[0056] Based on the above-mentioned cultural and tourism research and study intelligent management system, this embodiment provides a method for the cultural and tourism research and study intelligent management system, which includes the following steps:

[0057] Multi-role collaborative process execution: The service provider submits research and study route information through the service provider management end 3, and the platform supervision end 1 completes qualification review based on OCR recognition and the blacklist library; the school management end 4 releases personalized demands, and the platform operation end 2 recommends suitable service providers through semantic parsing and the intelligent matching engine; parents complete registration and payment through the mini-program end 5, and the system automatically generates an insurance list and synchronizes it to the service provider management end 3;

[0058] Dynamic Permission and Data Linkage: When the service provider submits a price adjustment application, the dynamic permission control unit 6 restricts only price reduction operations and triggers the review by the platform supervision end 1; when the student attendance rate is lower than the threshold, the risk warning unit synchronously pushes an alarm to the school management end 4 and the service provider management end 3.

[0059] Full-process Intelligent Decision-making: Dynamically adjust the research and study route based on students' health data, and link with the resource monitoring module to dispatch first-aid resources; cross-verify text evaluations and image expression data through the sentiment analysis engine to generate a false feedback identification report.

[0060] Furthermore, the intelligent management system method for cultural and tourism research and study further includes the following steps: Multimodal Data Analysis: Integrate the text, image data of the "Travel Evaluation" module on the mini-program end 5 and the sensor data of wearable devices to generate a comprehensive evaluation report; Blockchain Dynamic Evidence Preservation: Hash the evaluation data, price adjustment review records, and permission change operations and store them on the blockchain; Intelligent Feedback Optimization: Automatically optimize the route recommendation algorithm based on the evaluation report and restrict the price adjustment permissions of service providers with low scores. Exemplarily, first, the multimodal data analysis step integrates the text, voice, and image data of the "Travel Evaluation" on the mini-program end 5, as well as the student sentiment text in the "Summary of Research and Study Practice Activities Evaluation" on the school management end 4, analyzes the text sentiment through NLP (such as keywords "interesting" "dangerous"), extracts expression features through image recognition (such as the proportion of smiling faces), and analyzes the emotional tendency through voice. Then, perform blockchain dynamic evidence preservation. Specifically, based on the operation records of the "Fund Release Management" and "Operation Log" modules on the supervision end, the hash value of the evaluation data and the price adjustment records are encrypted and stored on the blockchain through the blockchain evidence preservation sub-module to ensure immutability (such as the timestamp preservation of parent complaint handling). Finally, perform intelligent feedback optimization. Based on the dynamic ranking data of service providers in the "Big Data Display Center" on the operation end (based on historical evaluations and complaint rates), if the false evaluation rate of a certain service provider exceeds the threshold (such as text with good reviews but the proportion of bad reviews in expression data ≥ 30%), the system automatically reduces its recommendation weight and prohibits it from applying for price adjustment.

[0061] The above are only optional embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A cultural and tourism research and study intelligent management system, characterized in that, including: The platform supervision terminal is used to execute school information management, qualification review of research and study service providers, fund settlement management, travel record review, and dynamic permission allocation; The platform operation terminal is used to execute research and study route review, order management, dynamic ranking statistics of service providers, and big data display; The service provider management terminal is used to publish research and study routes and manage the records left during the travel process; The school management terminal is used to publish personalized research and study needs, select routes, configure accompanying personnel, and manage student check-in and evaluation; The mini-program terminal is used for parents to query payments, submit evaluations, and for schools to track registration and travel data in real time. When the registration and travel data are abnormal, an alarm is triggered.

2. The cultural and tourism research and study intelligent management system according to claim 1, wherein The cultural and tourism research and study intelligent management system further includes: A dynamic permission control unit that dynamically allocates operation permissions based on roles. The operation permissions include: the supervision terminal exclusively has the qualification review right and the fund settlement approval right, the service provider is only allowed to submit route release applications and price adjustment applications, and the school terminal exclusively has the route requirement release right and the accompanying personnel configuration right; A full-process data closed-loop engine: integrating pre-trip, in-trip, and post-trip data to generate a full-life cycle data chain; An intelligent decision support module: including a route recommendation algorithm module, a risk warning unit, and a blockchain evidence storage sub-module. The route recommendation algorithm module generates a priority ranking based on school stage characteristics, historical evaluations, and cost breakdown structures. The risk warning unit monitors travel deviation from the route and abnormal check-in rates in real time and triggers hierarchical alarms. The blockchain evidence storage sub-module encrypts and uploads operations such as fund settlement, complaint handling, and permission changes to the blockchain.

3. The cultural and tourism research and study intelligent management system according to claim 1, characterized in that, The cultural and tourism research and study intelligent management system further includes: A real-time health monitoring module: collecting students' health monitoring data through students' wearable devices. The students' health monitoring data includes GPS trajectories, heart rates, and body temperature data, and synchronizing them to the research and study activity student check-in situation module of the school management terminal; A dynamic route adjustment module that automatically adjusts the order of research and study route nodes or replaces alternative routes based on real-time traffic data, weather warnings, and students' health monitoring data; A resource real-time monitoring module that calculates the route feasibility in real time through in-vehicle GPS, scenic area crowd heat maps, and inventory data of accompanying supplies, and triggers resource scheduling instructions.

4. The cultural and tourism research and study intelligent management system according to claim 1, wherein The resource real-time monitoring module includes a dynamic route adjustment engine and an emergency resource linkage unit. The dynamic route adjustment engine automatically triggers the switching of alternative routes based on health anomaly data and updates the route information in the "pre-trip management" of the service provider management terminal. The emergency resource linkage unit combines the "personnel verification and supervision" data of the platform supervision terminal, schedules the nearest accompanying personnel with first aid qualifications, and locates the nearest medical resources through the "vehicle monitoring" module.

5. The cultural and tourism research and study intelligent management system according to claim 1, characterized in that, The cultural and tourism research and study intelligent management system further includes: A multi-source evaluation collection module that integrates text, voice, image, and sensor data; An emotion analysis engine that analyzes the text emotion tendency through NLP, combines image recognition technology to extract students' facial expression features, and generates a comprehensive evaluation index.

6. The cultural and tourism research and study intelligent management system according to claim 1, wherein The cultural and tourism research and study intelligent management system further includes: A personnel ability map module that constructs a skill tag library for accompanying teachers / tour guides; The emergency plan linkage module automatically matches accompanying personnel with corresponding skills according to the route risk level and the special needs of students and generates an emergency task list.

7. The cultural and tourism research and study intelligent management system according to claim 1, characterized in that It also includes: The operation behavior chain links the user operations and permission change records to the blockchain to ensure the traceability of operations; The dynamic permission audit engine detects in real time whether the permission allocation conforms to the preset rules, and automatically freezes the account and gives an alarm for abnormal operations.

8. The cultural and tourism research and study intelligent management system according to claim 1, characterized in that, The cultural and tourism research and study intelligent management system further includes: The demand semantic analysis module analyzes the personalized needs released by the school, extracts keywords and generates a demand vector; The service provider intelligent matching engine recommends the service provider with the highest adaptability based on the demand vector and the historical route data of the service provider and generates a cooperation suggestion.

9. A smart management method for cultural and tourism research and study, characterized in that, It includes the following steps: Multi-role collaborative process execution: The service provider submits the research and study route information through the service provider management terminal, and the platform supervision terminal completes the qualification review based on OCR recognition and the blacklist library; The school management terminal releases personalized needs, and the platform operation terminal recommends suitable service providers through semantic analysis and the intelligent matching engine; Parents complete registration and payment through the mini-program terminal, and the system automatically generates an insurance list and synchronizes it to the service provider management terminal; Dynamic permission and data linkage: When the service provider submits a price adjustment application, the dynamic permission control unit restricts only price reduction operations and triggers the platform supervision terminal for review; When the student sign-in rate is lower than the threshold, the risk warning unit synchronously pushes an alarm to the school management terminal and the service provider management terminal; Full-process intelligent decision-making: Dynamically adjust the research and study route based on the student health data, and link the resource monitoring module to dispatch first aid resources; Generate a false feedback recognition report by cross-verifying the text evaluation and image expression data through the sentiment analysis engine.

10. The intelligent management method for cultural and tourism research and study according to claim 9, wherein, The cultural and tourism research and study intelligent management method further includes the following steps: Multi-modal data analysis: Integrate the "travel evaluation" text, image data and wearable device sensor data on the mini-program terminal to generate a comprehensive evaluation report; Blockchain dynamic evidence storage: Store the hash value of the evaluation data, the price adjustment review record and the permission change operation on the blockchain; Intelligent feedback optimization: Automatically optimize the route recommendation algorithm based on the evaluation report and restrict the price adjustment permission of service providers with low scores.

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