Intelligent navigation method and system based on NFC near field triggering

Abstract

The invention discloses an intelligent navigation method and system based on NFC near field triggering, and belongs to the technical field of intelligent navigation. The problems that an existing navigation system is tedious in operation, poor in environment adaptability, isolated in information and lack of personalized guidance are solved. The method comprises the following steps: creating an interactive three-dimensional model and a network access address for a plurality of entity guide points, writing the address into an NFC chip, and packaging and deploying; a user touches the carrier through a mobile device, the address is automatically read, and the browser is awakened to load the model; meanwhile, access information is sent to the server, the server records behaviors and dynamically generates a touring progress page, and visited and unvisited point locations are visually displayed. Zero-step triggering, operation simplification and environment robustness enhancement are realized, discrete access points are connected in series to form a coherent touring route, and personalized guidance is supported. The method is suitable for museums, memorial halls and other scenes, and effectively improves the user experience and the cultural transmission effect.

Description

Technical Field

[0001] This invention belongs to the field of intelligent tour guide technology. More specifically, this invention relates to an intelligent tour guide method and system based on NFC near-field triggering. Background Technology

[0002] Currently, in cultural and tourism settings such as museums and memorial halls, location-based guided tours primarily rely on QR codes or fixed RFID tags. Users must actively perform a series of actions, including unlocking their phones, opening the app, and scanning the QR code. This interaction path is lengthy, averaging 12 to 20 seconds, and the success rate of recognition is less than 50% in low-light or reflective environments. Such technical solutions can only provide isolated displays of exhibit information and cannot organically connect multiple access points for users within the space.

[0003] Specifically, existing technologies suffer from the following shortcomings: First, digital achievements are disconnected from physical carriers; the information in each QR code or exhibit lacks connection, resulting in a fragmented user experience and an inability to form a coherent tour narrative. Second, the system cannot record and identify the user's tour trajectory and history, and cannot provide personalized follow-up guidance or content deepening based on the content the user has already visited, lacking true "guided tour" characteristics. Finally, the user's tour status cannot be maintained continuously across different sessions; the progress of the visit is reset upon departure, hindering the sustainable cultural dissemination across platforms and time.

[0004] Therefore, there is an urgent need in this field for a technical solution that can achieve zero-step triggering and intelligently connect discrete access points into personalized tour routes. Summary of the Invention

[0005] One object of the present invention is to address at least the aforementioned deficiencies and to provide at least the advantages that will be described later.

[0006] One purpose of this invention is to provide an NFC-based intelligent tour guide method and system. This system addresses the problems of isolated exhibit information, lack of coherent tour narrative, and fragmented user experience provided by existing systems; as well as the lack of effective recording and identification of user tour status, making it difficult to provide personalized guidance based on tour history.

[0007] This invention provides a smart navigation method based on NFC near-field triggering, which includes the following steps: Create interactive 3D models and their corresponding network access addresses for at least two different physical guide points; Each of the network access addresses is written into an independent NFC chip, so that each NFC chip is uniquely associated with a specific physical guide point. The NFC chip containing the network access address is encapsulated in a physical carrier, and each physical carrier is deployed at its associated physical guide point. In response to a user's mobile device touching a physical carrier deployed at the first physical guide point, the NFC module of the mobile device reads the network access address associated with the first physical guide point. The operating system of the mobile device automatically wakes up the browser and loads the network access address to display an interactive 3D model corresponding to the first physical guide point to the user. The mobile device sends access information to the server, and the access information includes at least an anonymous session ID, which is used to uniquely associate the current and previous access sessions on the server side. The server records the user's mobile device's access behavior to the at least two physical guide points based on the access information, forming a user access record associated with the anonymous session ID; Based on the user's access records, the server dynamically generates a tour progress page and displays it on the user's mobile device. The tour progress page is used to indicate the physical guide points that the user has visited and those that have not been visited.

[0008] Preferably, a tour progress page is provided, including: When a mobile device loads the network access address of any physical guide point, an access point to the tour progress page is simultaneously provided on its display page.

[0009] Preferably, the content is provided to the user's mobile device for display, including: Write a universal service address pointing to the cloud relay service into a separate NFC chip and encapsulate it into a movable physical guide carrier that is independent of the physical guide point, so that users can access it by touching it with their mobile devices. The user's mobile device can ultimately access the tour progress page by accessing the general service address.

[0010] Preferably, the service address is a preset general relay service address, which points to a cloud relay service; The user's mobile device touching a movable physical carrier to access the tour progress page includes: The mobile device accesses the general relay service address and sends its current anonymous session ID to the cloud relay service; The cloud relay service queries the real address of the dynamically generated personal browsing progress page that is bound to the received anonymous session ID. If the query is successful, the cloud relay service will redirect the mobile device's request to the real address; If the query fails, the cloud relay service will redirect the mobile device's request to a preset default page, which is either a venue introduction page or a tour entry page.

[0011] Preferably, interactive 3D models and their corresponding web access addresses are created for at least two different physical guide points, including: Generate a 3D mesh model of the physical guide points; Convert the 3D mesh model into the interactive 3D model; Generate a unique network access address for the interactive 3D model; The interactive 3D model is rendered in the browser of the mobile device through the graphics rendering interface provided by the browser, and supports model rotation, scaling and translation operations through touch gestures.

[0012] Preferably, generating a 3D mesh model of the physical guide points includes: Using image acquisition equipment with a resolution between 20 million and 50 million pixels, the physical objects set up at each physical guide point are photographed from multiple angles in a surround manner to obtain the original image sequence, in which the overlap rate of adjacent photos is between 60% and 80%. For physical monuments with a height between 5 meters and 50 meters, a drone equipped with a wide-angle lens was used to take top-round shots, and the drone shooting data was combined with the ground telephoto lens shooting data to perform 3D reconstruction. The original image sequence is subjected to color correction, lens distortion correction and noise reduction using image processing software, and a preprocessed image sequence is output. The preprocessed image sequence is computed using a photo-based 3D capture algorithm to generate a 3D mesh model with initial texture. The process includes, after generating a 3D mesh model with initial texture, performing mesh distribution unification, mesh topology optimization, and lightweighting on the 3D mesh model using digital sculpting software. The lightweighting process includes simplifying the number of mesh faces. The step of converting the 3D mesh model into the interactive 3D model includes: Upload the refined and lightweighted 3D mesh model to the cloud platform; The cloud platform automatically bakes normal maps, ambient occlusion maps, and roughness maps. The cloud platform is used to compress texture maps and generate LOD models. The output file size is between 10MB and 100MB in WebGL format as the interactive 3D model.

[0013] Preferably, user access behavior is recorded to form a user access log, including: After loading the network access address, the mobile device executes the script embedded in the page to obtain or generate an anonymous session ID from the browser's local storage. The server receives and stores the anonymous session ID, the accessed network address, and the access timestamp from the user's mobile device.

[0014] Preferably, based on the user access records, a tour progress page is generated and provided, including: The server queries all access records associated with the received anonymous session ID and dynamically generates a visualization page reflecting the tour progress. The visualization page is presented in any form, such as a venue map, a list of access points, or a continuous tour route map.

[0015] Preferably, the storage capacity of the NFC chip is between 400 and 600 bytes, and the sensing distance between the mobile device and the NFC chip is between 1 and 5 centimeters. The mobile device's operating system is Android 8.0 or later, or iOS 13.0 or later. The mobile device sends a page request to the cloud server via the HTTP / 2 protocol and renders the 3D scene in real time through the graphics rendering interface provided by the browser. The physical carrier is in the form of a badge, card, or standee encapsulated using an epoxy resin process.

[0016] This invention provides an NFC-based intelligent navigation system for implementing the above method, comprising: The image acquisition and preprocessing module is used to perform surround multi-angle shooting through the image acquisition device and to optimize the image through image processing software. The 3D model reconstruction and refinement module is used to generate 3D mesh models through 3D reconstruction software and refine and lightweight the models through digital sculpting software. The cloud-based baking and publishing module is used to perform texture baking, texture compression, LOD model generation, and generate network access addresses through a cloud platform. The NFC data writing and encapsulation module is used to write the network access address or the browsing progress page address into the NFC chip through an NFC reader / writer, and to complete the physical carrier encapsulation through a dispensing process. The mobile interaction module is used to trigger interaction via the NFC function of mobile devices and display 3D models or browsing progress pages through a browser. The user status management module is used to record user access behavior through the server and generate and provide a tour progress page.

[0017] The present invention has at least the following beneficial effects: This invention creates an independent, interactive 3D model for each physical guide point and binds it to a unique network access address, which is then embedded in an NFC chip. This allows users to trigger interaction simply by touching the carrier with their mobile device. This near-field communication mechanism leverages the underlying support of the mobile device's operating system for the NFC protocol, automatically waking up the browser and loading the corresponding website. This simplifies the multiple manual steps required in traditional methods into a near-invisible, single action, significantly reducing the user's operational burden and learning cost. Furthermore, since NFC operates based on electromagnetic induction, its triggering process is largely unaffected by ambient light conditions, significantly improving the system's reliability in various practical application environments.

[0018] While achieving zero-step triggering of 3D model display, the system sends access information containing an anonymous session ID to the server via mobile devices. The server records and correlates the user's access behavior to different points, forming a continuously updated user access log. This mechanism endows the system with state memory capabilities, allowing discrete access behaviors to be linked into a meaningful tour trajectory. Based on this access log, the server can dynamically generate a tour progress page reflecting the user's visited and unvisited points, and provide it to the user's mobile device for display. This technology, for the first time in spatial navigation, visualizes the user's individual behavior as a holistic view, effectively solving the problems of information isolation and fragmented experience, providing users with clear global navigation and a coherent narrative, guiding users to further exploration.

[0019] To enable users to conveniently access their personal tour progress, the system offers two complementary technical approaches. First, it provides a synchronized software access point within the 3D model display page of each location, allowing users to check the overall progress at any time while browsing specific content. Second, it creates a movable physical guide carrier, embedding a universal service address pointing to the cloud relay service into an independent NFC chip. When a user touches this mobile carrier, their request, carrying an anonymous session ID, is sent to the cloud relay service. This service uses the session ID to retrieve the corresponding dynamically generated real address of the personal progress page and redirects the user. This design cleverly decouples the fixed nature of the physical carrier from the dynamic nature of the digital content, allowing users to access their personal tour overview anytime, anywhere with a single click. It achieves cross-session state persistence, greatly enhancing ease of use and service personalization, and extending the tour experience beyond time and space limitations to before and after the visit.

[0020] Other advantages, objectives and features of the present invention will become apparent in part from the following description, and in part from those skilled in the art through study and practice of the invention. Attached Figure Description

[0021] Figure 1 This is a flowchart illustrating the workflow of the intelligent navigation method based on NFC near-field triggering of the present invention. Figure 2 This is a timing diagram of the terminal interaction of the present invention; Figure 3 This is a comparison chart of the interaction time consumption of this invention. Detailed Implementation

[0022] The present invention will be further described in detail below with reference to embodiments, so that those skilled in the art can implement it based on the description.

[0023] It should be noted that, unless otherwise specified, the experimental methods described in the following implementation plan are all conventional methods, and the reagents and materials described are all commercially available unless otherwise specified.

[0024] like Figure 1 This workflow diagram illustrates in detail the three main stages of implementing the technical solution: Phase 1: Digital Reconstruction: Collect raw data through multi-angle photography; perform image preprocessing using AI technology; generate an initial model through automated 3D reconstruction; refine and optimize the model quality professionally; and perform lightweight model processing.

[0025] Phase Two: Cloud Publishing and Binding: Automated cloud-based texture baking; generating a web access address that can render the 3D model through a browser's graphics rendering interface.

[0026] Phase 3: Physical Interaction and State Management: NFC data binding; physical process packaging; zero-step interaction at the terminal; state recording.

[0027] Among them, NFC data binding and physical process packaging: the network access address of the interactive 3D model is written into the NFC chip and packaged into a physical carrier.

[0028] Terminal zero-step interaction and status recording: Users tap the NFC carrier deployed at the location using their mobile devices.

[0029] The mobile device reads the address and automatically wakes up the browser, then loads the network access address of the corresponding 3D model through the graphics rendering interface provided by the browser.

[0030] Meanwhile, or after the 3D model page has finished loading, the script code embedded in the page will perform a crucial user state recording operation: First, it attempts to retrieve a unique, anonymous session ID from the browser's local storage; if it does not exist, it generates a new session ID and stores it in local storage. Subsequently, it sends an asynchronous request to the server-side user state management module, reporting the current anonymous session ID, the network access address of the accessed location, and the timestamp.

[0031] Tour progress generation and provision: The server receives and stores this information, forming a continuously updated dataset of user access records.

[0032] Based on this dataset, the system can dynamically generate a personalized page reflecting the browsing progress for each anonymous session ID.

[0033] The system provides this progress page to the user in two ways (which can coexist): a) Entry method: Within the interactive 3D model page of each location, a permanent "My Tour Route" icon or button is placed in a fixed position. Users can click to jump to their personal progress page.

[0034] b) Carrier method: One-click access via a portable NFC guide badge (with relay service address written inside).

[0035] like Figure 2 The sequence diagram shown depicts the complete interactive process of a user triggering a 3D model display via an NFC badge: User operation phase: The user performs a proximity or touch action (distance ≤ 4cm); triggering the NFC radio frequency field to establish a connection.

[0036] Hardware response phase: The mobile phone's NFC module reads the chip data; transmits the NDEF record (which contains the network access address) to the operating system.

[0037] Software processing stage: The operating system parses the network access address and wakes up the browser; the browser sends a request to the cloud server; the server returns the 3D model page resources; the script code is executed and the GPU is rendered locally.

[0038] Results output stage: Presents an interactive 3D model interface; supports user gesture operations (rotation, scaling).

[0039] The interactive 3D model interface also includes: (Automatic) Reporting of Access Data: The "browser" sends data containing the anonymous session ID and the location network access address to the "server".

[0040] (Manual) Click the progress entry: When the "user" clicks the "Browse Progress" button on the interface, the "browser" requests the personal progress page from the "server", and then the "server" returns and "presents the personal browsing progress page".

[0041] Hardware selection for this invention: Image acquisition equipment: High-resolution digital cameras (such as the Sony a7m4 full-frame mirrorless camera) are selected. Their core advantage lies in their high pixel count (e.g., about 33 million pixels and above) and excellent RAW format recording capability, providing a data foundation for high-quality 3D reconstruction.

[0042] Data processing equipment: A high-performance graphics workstation is required, with a recommended configuration of a high-end CPU (such as an Intel i9 or AMD Ryzen 9 level), a high-performance GPU (such as an NVIDIA RTX 4080 or higher level), and a large capacity of memory (such as 64GB DDR5). This configuration is designed to provide sufficient computing power for subsequent 3D modeling and refining software, ensuring a smooth workflow.

[0043] NFC fabrication equipment: The core is a general-purpose NFC reader / writer (such as the ACR122U), which has the advantages of strong compatibility, mature drivers, and stable read / write operations. The matching NFC chip is a model with sufficient storage capacity to write to the target URL (such as the NTAG215, with its 504-byte storage capacity) and good device compatibility.

[0044] Terminal interaction device: Required to be a modern smartphone with NFC functionality (operating system such as Android 8.0+ or ​​iOS 13.0+), which communicates with cloud services via a network (such as WiFi or mobile data).

[0045] Software configuration for this invention: Image processing software: Used for color correction, lens distortion correction, and noise reduction of photos in the early stages (e.g., using Adobe Lightroom Classic and its AI noise reduction function) to ensure the best quality of the original image data.

[0046] 3D Reconstruction Software: As the core engine of 3D reconstruction, it utilizes its photo-based 3D capture function to automatically generate 3D mesh models with initial textures from processed high-quality photos (e.g., Adobe Substance 3DSampler).

[0047] Digital sculpting and modeling software: As a tool for model refinement, it is used to refine the original models generated by 3D reconstruction software, including: repairing mesh defects, filling holes, smoothing noise, topology optimization, and lightweight processing (e.g., Pixologic ZBrush).

[0048] Cloud-based model processing and publishing platform: Used for automated texture baking (such as normal maps, ambient occlusion maps, roughness maps, etc.), model format conversion, lightweight processing, and generation of web access addresses (e.g., using cloud service platforms such as 51modeling.com).

[0049] NFC data writing tools: Used to write generated network access addresses or service addresses into NFC chips (e.g., NFC Tools).

[0050] User Status Management and Backend Services: Deploy a cloud-based backend service. This service can be quickly developed using common server-side frameworks (such as Node.js + Express, Python + Django, or Java + SpringBoot) and can be easily deployed on public cloud platforms. It uses cloud databases (such as MySQL, MongoDB, etc.) for data persistence. The core functionalities of this service include: Provides an API interface to receive and log user access data (identified by an anonymous session ID).

[0051] Query a user's access history based on the session ID.

[0052] Dynamically generate and return the user's personal tour progress page.

[0053] Deployment steps of this invention: 1. Data Acquisition and Preprocessing: Use a high-resolution digital camera (such as the Sony a7m4) to take multi-angle, multi-layered panoramic shots around the object to ensure sufficient overlap in the photos.

[0054] Import the original photo (e.g., RAW format) into image processing software (such as Adobe Lightroom) for color correction, lens distortion correction, and noise reduction (e.g., AI noise reduction) to improve the image signal-to-noise ratio. Export it to a common image format (e.g., JPG) for subsequent 3D reconstruction.

[0055] 2. 3D model reconstruction: Import all pre-processed photos into 3D reconstruction software (such as Adobe Substance 3D Sampler) and use its photo-based 3D capture function to automatically calculate camera position, generate point clouds and 3D meshes.

[0056] Adjust the reconstruction parameters to generate an initial textured 3D model and export it to a common 3D model exchange format (such as OBJ).

[0057] 3. Model repair, optimization, and weight reduction: Import the model into digital sculpting and modeling software (such as Pixologic ZBrush).

[0058] Mesh optimization: Use the software's mesh re-meshing function (such as DynaMesh) to generate a new mesh with uniform wiring, eliminating distortions caused by 3D reconstruction.

[0059] Topology optimization and lightweighting: Using the software's automatic topology reconstruction function (such as ZRemesher), a clean, low-polygon topology dominated by quadrilaterals is generated while preserving the core shape of the model. This process achieves lightweight mesh processing of the model.

[0060] Manual finishing: Use carving tools to manually repair imperfections on the model surface, fill holes, and trim as needed.

[0061] 4. Texture baking and online publishing: Export the repaired and lightweighted model and upload it to a cloud-based model processing and publishing platform (such as 51modeling.com).

[0062] The platform automatically completes the baking process for normal maps, ambient occlusion (AO) maps, and other textures.

[0063] The platform performs texture mapping compression on the model and generates a multi-level LOD (Level of Detail) model.

[0064] Finally, the platform generates a unique network access address (URL) for the interactive 3D model.

[0065] 5. Create an interactive carrier (NFC carrier): Use an NFC data writing tool (such as NFC Tools) to write the network access address generated in step 4 into an empty NFC chip.

[0066] The NFC chip containing the data is encapsulated in a physical carrier (such as a badge or standee) and deployed at the corresponding physical guide points.

[0067] 6. Deployment, integration, and progress page generation of user status management service: This step is the core of enabling persistent user state and personalized browsing, and it includes the following sub-steps: a) Cloud service deployment and database creation The user status management and backend service program developed based on the selected technology stack (such as using the Python + Django framework) will be deployed to the selected public cloud platform (such as Alibaba Cloud and Tencent Cloud's Elastic Compute Service).

[0068] Within the cloud service platform, create and initialize a cloud database (e.g., MySQL or MongoDB). Within this database, create a table to store user access records. This table should contain at least the following fields: Anonymous Session ID field: Used to store an anonymous session ID that uniquely identifies a browsing session.

[0069] Network access address field: Used to store the network access address of the specific location accessed by the user.

[0070] Timestamp field: Used to store the precise time point when the access occurred; the record accuracy should be at least to the second.

[0071] b) Front-end page integration and status logging A piece of generic script code is embedded in the interactive 3D model page (i.e. the page pointed to by the network access address) generated for each physical guide point on the cloud platform.

[0072] This code snippet is responsible for performing user status recording operations when the page loads, and its logic is as follows: To obtain or generate an anonymous session ID: First, attempt to read a specific identifier from the browser's local storage. If the identifier does not exist, generate a new unique identifier using the browser environment and store it as the anonymous session ID in local storage.

[0073] Reporting Access Information: Subsequently, a data submission request is initiated to a specific interface address of the deployed backend service via asynchronous communication. This request encapsulates a structured data packet, which contains at least the following core information: the current anonymous session ID, the network access address corresponding to the currently accessed 3D model page, and the precise timestamp of this access action.

[0074] Server-side records: After receiving the data submission request, the cloud server verifies the data's compliance and then stores the anonymous session ID, the accessed network address, and the timestamp information as a new record in the corresponding table of the database. Through this mechanism, the system generates and continuously updates a user access record dataset for each anonymous session ID.

[0075] c) Generation and integration of tour progress page Dynamic Page Generation: In the backend service, a dedicated Application Programming Interface (API) is developed to dynamically generate and return the user's personal browsing progress page. The workflow of this interface is as follows: Receive a request from a client that carries an anonymous session ID.

[0076] The server queries the database based on this session ID, retrieves all access records associated with that ID, and extracts a list of visited points. Combined with the preset information on all guide points, it calculates a list of unvisited points.

[0077] The server dynamically generates an HTML page. This page clearly displays the user's tour progress in a visual format, for example: marking visited and unvisited points with the venue map as the background icon; listing "unlocked" and "to be explored" points in a list format; or generating a suggested continuous tour route map.

[0078] The generated page data is returned to the client browser for display.

[0079] Provide an access point, specifically through at least one of the following methods: i) Software entry method: Within the interactive 3D model page of each physical guide point, a persistent icon or button (e.g., labeled "My Tour Route") is embedded in a fixed location (such as the upper right corner of the page). When the user clicks this entry, the browser will access the aforementioned dedicated progress page interface with a local anonymous session ID.

[0080] ii) Physical carrier method: Write the universal address of the cloud relay service (a fixed network access address) into a separate NFC chip.

[0081] The NFC chip is encapsulated in a movable physical carrier (such as a badge) to create a "guide badge".

[0082] The cloud relay service is configured as a separate service, and its logic is as follows: It receives requests from mobile devices (the requests automatically carry an anonymous session ID); based on the session ID, it retrieves the real address of the dynamic browsing progress page corresponding to the user; subsequently, it returns a redirection instruction to the user's browser, navigating them to that real address. If the query fails (e.g., an invalid session ID), it redirects to a preset default page (e.g., a venue information page).

[0083] The tour progress page is dynamically generated by the server each time a user accesses it through any of the above entry points, based on the latest access records, ensuring the timeliness of the information.

[0084] Example 1 Scene: Tourists visiting a museum.

[0085] System preparation: Museum staff have created a high-precision, interactive 3D model of the physical guide point "a certain monument" and generated a unique web access address for the model through a cloud-based model processing and publishing platform.

[0086] Carrier Deployment: Staff wrote the network access address into a separate NFC chip and encapsulated it in a physical badge carrier using an epoxy resin process. This badge was deployed on a stand next to the monument for visitors to touch.

[0087] Near-field trigger: A tourist walks to this spot and takes out their NFC-enabled smartphone (Android 10 operating system, with NFC enabled) from their pocket. With the phone locked or unlocked, they bring the back of the phone close to the badge at a distance of approximately 4 centimeters.

[0088] Automatic wake-up and reading: The phone's built-in NFC module instantly reads the network access address stored in the chip.

[0089] Seamless Loading and Display: Upon receiving the address, the phone's operating system automatically wakes up the default browser and sends a request to that address. The browser successfully loads the WebGL page provided by the cloud platform. Within 1-3 seconds, an interactive 3D model of a "monument" clearly appears on the screen. Simultaneously, the script embedded in the page reports this access behavior (carrying an anonymous session ID) to the server in the background, updating the user's browsing progress record.

[0090] Interactive Experience: Visitors can then rotate the model on the screen by dragging with one finger to observe the entire monument; and zoom in and out using a two-finger pinch gesture to examine details such as the red flag at the top and the inscription at the bottom. Next, visitors notice a "My Tour Route" icon in the upper right corner of the page and click to view it out of curiosity. The browser then redirects to a personalized progress page, which clearly displays the monument they have visited and other unvisited points within the museum in the form of a visual map. This provides visitors with a clear overview of the entire exhibition layout and their own progress, stimulating their interest in continuing their visit.

[0091] Test Experiment 1 Overall test conditions: Time and Location: The test will be conducted from May to June 2024 at a provincial museum and a partner digital technology laboratory.

[0092] All comparative experiments were conducted under the same hardware and software infrastructure and environmental conditions to ensure the comparability of the results.

[0093] Experiment 1: Comparison of Interactive Trigger Efficiency and Reliability Test objective: To quantitatively verify the advantages of the NFC near-field triggering scheme adopted in this invention compared with the traditional QR code scheme in terms of user interaction convenience, trigger success rate and environmental robustness.

[0094] Test subject: Comparative example: Traditional QR code navigation solution.

[0095] Experimental group: The NFC touch solution of this invention (NFC "one-point-one-sign" solution).

[0096] Test method: Scene setup: Inside the museum exhibition hall, for the same exhibit "a certain monument", a QR code stand and an NFC badge deployed on the display stand are placed side by side.

[0097] Test participants: 60 ordinary volunteers, aged 18-65, were recruited and randomly divided into two groups, one using QR code and the other using NFC for the experience.

[0098] Data collection: Trigger latency: Recorded using a high-speed camera (240fps) from the moment the volunteer receives the "start" command to the moment their mobile browser initiates a page request to the server (i.e., the browser address bar displays a loading animation or a network monitoring tool captures the first HTTP request). This metric excludes the impact of loading time due to differences in page content size (2D or 3D), purely measuring the trigger latency of the two technologies. Each person in each group performed the operation 3 times in each test, and the average value was taken. The test was repeated 10 times, and the results were statistically analyzed as follows: Figure 3As shown.

[0099] Operation steps: Observers record the physical operation steps (such as clicking, swiping, etc.) necessary for volunteers to complete the entire triggering process.

[0100] Environmental adaptability: 100 trigger tests were conducted under normal lighting conditions and specially simulated low light and strong reflective conditions (simulated by lighting), and the success rate of successful triggering (i.e., the browser can correctly initiate page requests) was statistically analyzed.

[0101] Status recording success rate: In the NFC solution group, this records the percentage of times that the access data can be successfully reported to the server and correctly displayed on the progress page after the WebGL page is successfully loaded.

[0102] Experimental Results and Analysis: Triggering Time: The average triggering time for the QR code solution is 11.98 seconds (mainly due to unlocking, finding the app, activating the scanning function, and alignment), while the average triggering time for the NFC solution is only 2.96 seconds (mainly due to unlocking, the time from proximity to chip recognition, and system response). This invention reduces the triggering time from user intent to action completion by approximately 75%. This fully demonstrates the absolute advantage of NFC's "zero-step triggering" or "one-step triggering" in the interaction path.

[0103] Operation steps: The QR code solution requires four necessary steps: "unlock your phone, find and open the app, tap 'Scan,' and then point the phone at the scanner" before waiting for the redirection. The NFC solution, assuming the phone's NFC function is enabled, in most cases only requires a single action after unlocking—"bringing the phone close"—with the system automatically completing all subsequent processes. This greatly reduces the user's operational burden and learning cost.

[0104] Environmental adaptability: In low light / reflective conditions, the success rate of QR code recognition drops sharply to 46%, while NFC, based on electromagnetic induction, is unaffected by light and maintains a success rate of 99%. Under adverse lighting conditions, the reliability of NFC triggering is more than twice that of QR codes.

[0105] Status recording success rate: The status recording success rate of the NFC solution group is 98%, which shows that the present invention can reliably manage the user status while achieving efficient triggering, laying the foundation for realizing intelligent navigation.

[0106] Experiment 1 fully verified that, in the user triggering stage of the tour guide system, the NFC "one-point-one-sign" scheme protected by this invention has achieved significant improvements in terms of ease of operation, triggering speed, and environmental robustness.

[0107] Experiment 2: Comparison of Modeling and Processing Efficiency Test objective: To verify the significant advantages in modeling efficiency of the automated modeling pipeline based on photogrammetry described in this invention, which is designed for web-based deployment, compared to traditional 3D reconstruction methods that also aim for web display.

[0108] Test subject: Comparative Example: Web model creation workflow based on laser scanning and manual post-processing. This workflow was the conventional technical approach used by industries such as museums to obtain high-quality Web 3D models before this invention.

[0109] Experimental group: This invention uses AI preprocessing + digital engraving software for fine-tuning + cloud-based automated baking pipeline.

[0110] Test method: Model object: A terracotta figurine about 40 cm tall was selected as the standard test object.

[0111] Comparison of process and time consumption: Comparative Example (Traditional Web Model Process): Data Acquisition: Technicians meticulously set up reflective markers on the surface of the terracotta figurines and in the surrounding environment (approximately 30 minutes). A high-precision 3D laser scanner is used to perform multi-site scanning (approximately 12 stations) to ensure no blind spots, simultaneously acquiring geometric point cloud and color texture information (approximately 2 hours).

[0112] Model reconstruction: Engineers use the scanner's accompanying software on their local computers to perform multi-site cloud registration and stitching, and manually remove noise (approximately 3 hours).

[0113] Model Repair and Lightweighting: The mesh is generated in reverse engineering software, and unavoidable mesh holes and defects from the scan are manually repaired. Subsequently, to meet web publishing requirements, engineers need to manually perform mesh simplification, topology reconstruction, and UV unwrapping (approximately 6 hours).

[0114] Texture baking and output: The scanned texture photos are mapped to a 3D mesh, and texture coordinates are manually adjusted to correct texture misalignment and color differences. Finally, normal maps, AO maps, etc., are baked on the local computer using a rendering engine (such as Toolbag or Marmoset) and output in a web-compatible format (approximately 4 hours).

[0115] The traditional process takes approximately 15.5 hours. It is characterized by heavy manual operation by engineers, a sequential workflow, and extremely high skill requirements for operators.

[0116] Experimental group (process of this invention): Data Acquisition and AI Preprocessing: The photographer takes 300 original photos (approximately 20 minutes), which are then imported into Adobe Lightroom for batch processing and AI noise reduction (approximately 15 minutes).

[0117] Automated 3D Reconstruction: Import Adobe Substance 3D Sampler, and the software will automatically calculate and generate a 3D mesh model with initial textures (approximately 45 minutes).

[0118] Intelligent Refinement and Lightweighting: Importing into Pixologic ZBrush, the ZRemesher function is used for automatic topology reconstruction, optimizing the mesh facets to a web rendering-friendly level (e.g., reducing from 2 million faces to 50,000 faces), and using DynaMesh and sculpting brushes to quickly repair major model flaws (approximately 1 hour). This step is one of the core advantages of this invention, transforming the most time-consuming and experience-dependent manual mesh repair and simplification work in the traditional workflow into a semi-automated, highly efficient process.

[0119] Cloud-based automated baking and publishing: Upload the optimized model to cloud platforms such as 51modeling.com. The platform automatically completes the baking of various textures such as UV unwrapping, normal mapping, and ambient occlusion mapping, as well as texture compression and LOD model generation, and directly outputs it as a WebGL format with an access link (approximately 30 minutes, including upload and processing time).

[0120] The total time required for this invention's process is approximately 2.5 hours. Its key feature is the combination of "AI preprocessing + software intelligent algorithms + cloud automation," which significantly reduces manual intervention and enables parallel and optimized processes.

[0121] Experimental Results and Analysis: Overall Process Time: The comparative process took approximately 15.5 hours. This invention reduces this time to 2.5 hours. Efficiency Improvement Calculation: (15.5 - 2.5) / 15.5 ≈ 83.9%. This efficiency improvement primarily stems from the invention's use of intelligent software algorithms and cloud automation to replace a large number of tedious and repetitive manual operations in the comparative process.

[0122] Texture processing efficiency: In the comparison, UV unwrapping, texture mapping, and baking performed manually by engineers on a local workstation takes approximately 10 hours. This invention integrates and compresses this work into a total workflow of 30 minutes through a fully automated texture pipeline on a cloud platform. If the core computation time for texture-related processing is calculated separately, the cloud platform can complete it within 8 minutes. Efficiency improvement: (10 - 0.13) / 10 ≈ 98.7%. This data vividly demonstrates the revolutionary efficiency leap brought about by the paradigm shift from "manually driven" to "algorithm-driven".

[0123] As can be seen from Experiment 2, this invention reconstructs the 3D model production pipeline, not just optimizing a single link, but integrating AI preprocessing, intelligent refining software and cloud automation to achieve an efficiency revolution across the entire chain. This lays the foundation for the large-scale, low-cost production of the large number of 3D model assets required by the entire system.

[0124] Experiment 3: Comparison of Storage, Transmission, and Quality Test objective: To verify the effectiveness of the optimized model lightweighting and cloud processing pipeline, and the overall visual and performance balance of the final model in a web environment.

[0125] Test method: Storage and Loading: For the same "terracotta figurine" model, the size of the high-precision model file (approximately 1.2 GB) output from the traditional laser scanning process, prepared for local high-performance rendering, was recorded and compared with the size of the WebGL resource package (35 MB) after lightweight processing by the digital carving software described in this invention and texture compression and LOD generation on the cloud platform. Under a standard 100Mbps public network environment, the loading time of the model page from the initiation of a request to full interactivity was measured using Chrome browser developer tools.

[0126] Quality Assessment: Three senior experts in cultural relic digitization were invited to conduct a double-blind comparison of the original WebGL model (as a baseline) without lightweight processing and the final WebGL model processed using the complete pipeline of this invention in a standard web browser environment. The experts scored the surface texture, geometric feature integrity, and overall visual fidelity (out of 10) using standard web browsing methods (non-extreme magnification) at typical viewing distances and screen sizes. This assessment focuses on verifying whether the lightweight processing preserved core visual features within acceptable limits, rather than conducting pixel-level lossless comparisons.

[0127] Experimental Results and Analysis: Model Lightweighting and Compression: Traditional high-precision model data size is 1.2 GB. After mesh topology optimization and face number simplification in digital sculpting software as described in this invention, combined with processing using modern GPU-friendly texture compression formats such as ASTC / ETC2 on the cloud platform, the final web delivery resource package is reduced to 35 MB. Storage and network transmission pressure reduction rate: (1.2 - 0.035) / 1.2 ≈ 97.1%.

[0128] Network loading performance: The optimized WebGL page has an average loading time of 2.4 seconds, achieving a "second-level loading" experience for the public and meeting the key requirements for response speed in practical applications.

[0129] Visual-performance balance capability (revised key conclusions): Expert scoring results show that the final model, after processing with the complete pipeline, achieved an average score of 9.6. This high score does not represent an absolutely lossless comparison with the original 1.2GB dataset, but rather indicates that, under a strict network budget of 35MB, the final visual quality presented on the web reached a level recognized by experts.

[0130] Technical Implementation Details: To achieve this result, this invention employs a series of technical means to intelligently preserve details in visually sensitive areas during the weight reduction process. Level of Detail (LOD) technology: The system dynamically switches between models of different precision based on the number of pixels the model occupies on the screen. Low-poly models are used when zooming out, and high-poly models are only loaded when viewing at close range, thereby controlling overall resource consumption.

[0131] Normal mapping and baking technology: On the cloud platform, the normal information of the high-precision model is baked onto the texture of the low-poly model, so that the lightweight low-poly model can present rich surface bump details under lighting. This process increases the network transmission burden by almost nothing and is the key to ensuring visual details.

[0132] Intelligent Mesh Simplification: When lightweighting in ZBrush, instead of uniform simplification, a feature-aware algorithm is used to significantly simplify flat areas, while preserving polygons to the maximum extent possible for visual focal areas such as the face and clothing folds of the statue.

[0133] Modern texture compression: Using advanced texture compression formats such as ASTC (Adaptive Scalable Texture Compression), the amount of texture data is significantly reduced without significant loss of visual quality.

[0134] As can be seen from Experiment 3, the present invention, through the aforementioned combination of technologies, does not pursue the ultimate "lossless" approach, but rather successfully achieves the optimal balance between visual quality and performance load under given network transmission limitations, thus solving the core bottleneck of the practical application of massive 3D data in the Web environment.

[0135] Experiment 4: Deployment Costs and Analysis Testing Method: A case study method based on publicly available market quotes was used.

[0136] Case 1 (System Architecture Cost): This study investigated the cost of building a local 3D visualization system capable of supporting the online display of 10 high-precision models, including: graphics server procurement, streaming media service licensing, and front-end and back-end development personnel costs. This was compared to the solution presented in this invention (using cloud services such as a cloud-based model processing and publishing platform, requiring only model processing and traffic fees).

[0137] Case 2 (Digitization of Large-Scale Physical Monuments): Taking an 8-meter-high urban sculpture as an example, quotes were obtained from three professional digitization companies. The price range of the traditional solution (3D laser scanning + scaffolding photography) was compared with the price of the solution of this invention (ground telephoto lens + drone photography).

[0138] Experimental Results and Analysis: Case 1: The initial investment for a self-built solution is estimated at approximately 750,000 RMB, with annual maintenance costs of approximately 100,000 RMB. The solution of this invention is pay-as-you-go; the total cost of the first 10-model project is less than 50,000 RMB, with no maintenance costs. Overall costs are reduced by more than 90%.

[0139] Case 2: Traditional scanning solutions cost between 250,000 and 400,000 yuan, with a turnaround time of 3-4 weeks. The total cost of this invention is 38,000 yuan, with a turnaround time of 2 days. The cost is reduced to about one-tenth of the traditional solution, and the turnaround time is shortened by more than 85%.

[0140] From an economic perspective, Experiment 4 shows that this invention significantly lowers the barrier to entry for high-precision 3D digitization applications.

[0141] Example 2 This example was implemented in a museum's "Core Exhibits Stamp-Based Guided Tour" activity. The activity included five core exhibit locations (such as "Exhibit 1," "Exhibit 2," etc.). The purpose was to verify the feasibility and convenience of accessing a personal tour progress page via a movable NFC badge (i.e., the "guide carrier"), as well as its advantages over traditional methods in terms of user experience and cultural dissemination.

[0142] System configuration and deployment: Hardware: As mentioned above, the hardware selection includes an NFC reader / writer, an NTAG215 chip, and epoxy badge encapsulation material.

[0143] Software and Services: The software configuration is as described above, with the additional deployment of a cloud relay service. This service is developed using a server-side framework and provides a fixed URL.

[0144] Tour Progress Page: This is a dynamically generated HTML5 page that displays five key locations that the user has checked in and those that have not been checked in, in the form of a visual map. It also provides quick access to the 3D model of each location, allowing users to jump directly from the progress page to the model page of the unvisited location.

[0145] Core process implementation: NFC data writing: A fixed universal relay service address is written into a blank NFC chip and packaged into a wearable "guide badge".

[0146] User-triggered: Visitors receive the portable guide badge at the start of their visit. During or after the visit, visitors simply take out their phone (Android 8.0+ or ​​iOS 13.0+), lock or unlock it, and hold the back of the phone close to the badge.

[0147] Relay and Redirect: The phone's NFC module reads the relay service address, and the operating system automatically wakes up the default browser and accesses that address.

[0148] The browser sends a request to the relay service. To identify the user, the request automatically carries an anonymous session ID generated and stored in the user's browser's local storage via URL parameters or cookies.

[0149] After receiving the request, the cloud relay service executes the following logic: Receiving requests and extracting identity identifiers: The relay service extracts the user's "anonymous session ID" from the request.

[0150] Query and Match: The relay service uses the session ID to query the backend database to find the real access address of the dynamically generated "personal tour progress page" that is bound to it.

[0151] Decision Making and Redirection: Scenario A: Match successful: The relay service sends a redirection instruction to the user's browser, redirecting the user to their personal browsing progress page.

[0152] Scenario B: Matching Failure: The relay service will redirect the request to a default, generic introductory page or tour entry page (e.g., the museum's official welcome page) to ensure the integrity of the user experience.

[0153] Upon receiving the redirect response, the browser automatically redirects to the user's personal browsing progress page, fully loading and displaying their current browsing progress.

[0154] Test Experiment 2 1. Test Objective This test aims to compare the overall advantages of (integrating fixed NFC triggering, server-side state management, and movable guide badges) in terms of user operation efficiency, task completion rate, environmental adaptability, user experience, and willingness to spread culture, compared with traditional QR code solutions and solutions with only fixed NFC triggering, through a comparative experiment.

[0155] 2. Test Conditions and Environment Time: During the National Day Golden Week in 2024 (large number of tourists, noisy environment).

[0156] Location: Core exhibition hall of a museum.

[0157] Test subjects: 300 adult tourists were randomly invited and divided into three groups, A, B and C, with 100 people in each group.

[0158] Equipment: Testing was conducted using mainstream brand mobile phones that support NFC (covering Huawei, Xiaomi, iPhone, etc.).

[0159] Network: The museum's public WiFi and carrier 4G / 5G networks are mixed to simulate real network conditions.

[0160] 3. Test Group Settings Comparative Example A (Traditional QR Code Group): Solution: Set up a QR code sign at each exhibition point. Visitors need to: 1. Unlock their phone; 2. Open WeChat or a browser app; 3. Click "Scan"; 4. Align with and recognize the QR code; 5. Wait for the 2D graphic and text information page to load.

[0161] Objective: Access 5 independent 2D graphic pages.

[0162] Comparative Example Group B (Fixed NFC Group): Solution: Deploy fixed NFC tags at each exhibit point. Visitors need to: 1. Unlock their phones; 2. Touch the tag with their phones; 3. Automatically open the browser and load the exhibit's independent WebGL 3D model page.

[0163] Objective: To access five separate 3D model pages. This solution does not provide a unified tour progress page, nor does it offer mobile guide badges.

[0164] Example C (Invention Scheme Group): Solution: Visitors receive a portable "guide badge." Accessing a single point of interest is identical to Group B (touching the fixed NFC tag at each point). The core innovation of this solution is that visitors can use their mobile phones to tap the portable guide badge anytime, anywhere (e.g., in a rest area, or after returning home) to access a personalized tour page integrating progress updates for all five points with a single tap.

[0165] Objective: Complete visits to the 3D models of 5 locations and use the guide badge to access the tour progress page at least once.

[0166] 4. Testing Methods and Data Collection Task completion rate: Record the percentage of tourists in each group who successfully visited all 5 target locations.

[0167] Average operation time: Average time to access a single point model: Records the average time from when a visitor generates a visit intention to when a single point page is fully loaded.

[0168] Average time to access tour progress page: Records the average time from when a visitor takes out their mobile phone to when their personal tour progress page is fully loaded (this is a unique metric for Group C).

[0169] Environmental adaptability: In areas of the exhibition hall with low light and where the QR code standee has slight glare, 50 trigger tests were conducted to calculate the recognition success rate of QR codes and NFC.

[0170] User experience questionnaire: After the task is completed, a short questionnaire survey is conducted to collect tourists' ratings (out of 5) on "ease of operation", "content attractiveness" and "overall tour coherence".

[0171] Willingness to share survey: Ask tourists if they are willing to share their tour experience (or media) with friends and family.

[0172] 5. Test Experiment Results The test results are shown in Table 1 below.

[0173] Table 1: Comparison of performance and user experience results for each group in Test Experiment 2 As can be seen from the experimental data in Table 1, Example C of this invention performed well in all key indicators. This invention inherits the inherent advantages of NFC technology over QR codes in triggering speed and environmental robustness. The unique "tour progress page" and its convenient access method (via a movable badge) are key to improving task completion rate and the seamless experience of the tour. The progress page provides users with clear global navigation and quick access, solving the "getting lost" problem common in traditional guided tours. The movable guide badge, combined with cloud relay services, successfully resolves the technical contradiction between "static NFC storage and dynamic personalized content," achieving a personal tour overview that is "anytime, anywhere, and accessible with one click"—a user experience that fixed tags on the wall cannot provide.

[0174] The movable guide badges, as functional souvenirs, greatly enhanced users' willingness to share them (2.7 times that of Group B), enabling cultural experiences to transcend the limitations of time and space and achieving cross-temporal cultural extension and dissemination.

[0175] Although embodiments of the present invention have been disclosed above, they are not limited to the applications listed in the specification and embodiments. It can be applied to various fields suitable for the present invention. Further modifications can be readily implemented by those skilled in the art.

Claims

1. A method for NFC near field triggering based intelligent guide, characterized in that, Includes the following steps: Create interactive 3D models and their corresponding network access addresses for at least two different physical guide points; Each of the network access addresses is written into an independent NFC chip, so that each NFC chip is uniquely associated with a specific physical guide point. The NFC chip containing the network access address is encapsulated in a physical carrier, and each physical carrier is deployed at its associated physical guide point. In response to a user's mobile device touching a physical carrier deployed at the first physical guide point, the NFC module of the mobile device reads the network access address associated with the first physical guide point. The operating system of the mobile device automatically wakes up the browser and loads the network access address to display an interactive 3D model corresponding to the first physical guide point to the user. The mobile device sends access information to the server, and the access information includes at least an anonymous session ID, which is used to uniquely associate the current and previous access sessions on the server side. The server records the user's mobile device's access behavior to the at least two physical guide points based on the access information, forming a user access record associated with the anonymous session ID; Based on the user's access records, the server dynamically generates a tour progress page and displays it on the user's mobile device. The tour progress page is used to indicate the physical guide points that the user has visited and those that have not been visited.

2. The method of claim 1, wherein, The provided tour progress page includes: When a mobile device loads the network access address of any physical guide point, an access point to the tour progress page is simultaneously provided on its display page.

3. The method of claim 1, wherein, The provision of the display to the user's mobile device includes: Write a universal service address pointing to the cloud relay service into a separate NFC chip and encapsulate it into a movable physical guide carrier that is independent of the physical guide point, so that users can access it by touching it with their mobile devices. The user's mobile device can ultimately access the tour progress page by accessing the general service address.

4. The method of claim 3, wherein, The service address is a preset general relay service address, which points to a cloud relay service; The user's mobile device touching a movable physical carrier to access the tour progress page includes: The mobile device accesses the general relay service address and sends its current anonymous session ID to the cloud relay service; The cloud relay service queries the real address of the dynamically generated personal browsing progress page that is bound to the received anonymous session ID. If the query is successful, the cloud relay service will redirect the mobile device's request to the real address; If the query fails, the cloud relay service will redirect the mobile device's request to a preset default page, which is either a venue introduction page or a tour entry page.

5. The method of claim 1, wherein, The process of creating interactive 3D models and their corresponding network access addresses for at least two different physical guide points includes: Generate a 3D mesh model of the physical guide points; Convert the 3D mesh model into the interactive 3D model; Generate a unique network access address for the interactive 3D model; The interactive 3D model is rendered in the browser of the mobile device through the graphics rendering interface provided by the browser, and supports model rotation, scaling and translation operations through touch gestures.

6. The method of claim 5, wherein, The process of generating the 3D mesh model of the physical guide points includes: Using image acquisition equipment with a resolution between 20 million and 50 million pixels, the physical objects set up at each physical guide point are photographed from multiple angles in a surround manner to obtain the original image sequence, in which the overlap rate of adjacent photos is between 60% and 80%. For physical monuments with a height between 5 meters and 50 meters, a drone equipped with a wide-angle lens was used to take top-round shots, and the drone shooting data was combined with the ground telephoto lens shooting data to perform 3D reconstruction. The original image sequence is subjected to color correction, lens distortion correction and noise reduction using image processing software, and a preprocessed image sequence is output. The preprocessed image sequence is computed using a photo-based 3D capture algorithm to generate a 3D mesh model with initial texture. The process includes, after generating a 3D mesh model with initial texture, performing mesh distribution unification, mesh topology optimization, and lightweighting on the 3D mesh model using digital sculpting software. The lightweighting process includes simplifying the number of mesh faces. The step of converting the 3D mesh model into the interactive 3D model includes: Upload the refined and lightweighted 3D mesh model to the cloud platform; The cloud platform automatically bakes normal maps, ambient occlusion maps, and roughness maps. The cloud platform is used to compress texture maps and generate LOD models. The output file size is between 10MB and 100MB in WebGL format as the interactive 3D model.

7. The method of claim 1, wherein, The process of recording user access behavior to form user access records includes: After loading the network access address, the mobile device executes the script embedded in the page to obtain or generate an anonymous session ID from the browser's local storage. The server receives and stores the anonymous session ID, the accessed network address, and the access timestamp from the user's mobile device.

8. The method of claim 7, wherein, The step of generating and providing a tour progress page based on the user access records includes: The server queries all access records associated with the received anonymous session ID and dynamically generates a visualization page reflecting the tour progress. The visualization page is presented in any form, such as a venue map, a list of access points, or a continuous tour route map.

9. The method as described in claim 1, characterized in that, The storage capacity of the NFC chip is between 400 and 600 bytes, and the sensing distance between the mobile device and the NFC chip is between 1 and 5 centimeters. The mobile device's operating system is Android 8.0 or later, or iOS 13.0 or later. The mobile device sends a page request to the cloud server via the HTTP / 2 protocol and renders the 3D scene in real time through the graphics rendering interface provided by the browser. The physical carrier is in the form of a badge, card, or standee encapsulated using an epoxy resin process.

10. A smart navigation system based on NFC near-field triggering, used to implement the method described in any one of claims 1 to 9, characterized in that, The system includes: The image acquisition and preprocessing module is used to perform surround multi-angle shooting through the image acquisition device and to optimize the image through image processing software. The 3D model reconstruction and refinement module is used to generate 3D mesh models through 3D reconstruction software and refine and lightweight the models through digital sculpting software. The cloud-based baking and publishing module is used to perform texture baking, texture compression, LOD model generation, and generate network access addresses through a cloud platform. The NFC data writing and encapsulation module is used to write the network access address or the browsing progress page address into the NFC chip through an NFC reader / writer, and to complete the physical carrier encapsulation through a dispensing process. The mobile interaction module is used to trigger interaction via the NFC function of mobile devices and display 3D models or browsing progress pages through a browser. The user status management module is used to record user access behavior through the server and generate and provide a tour progress page.

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