Digital museum platform system and method based on future network / FN and OV overlapping multiplexing and FN / M virtual-real routing

Abstract

The invention discloses a digital museum platform system and method based on future network / FN and OV overlapping multiplexing and FN / M virtual and real routing, and belongs to the crossing field of digital museum and future network technologies. The system comprises a data acquisition layer, an OV overlapping multiplexing layer, an FN / M virtual-real routing scheduling layer, a digital twinning core layer, a multi-element application layer and a safety guarantee layer, and digital protection, immersive display and interactive experience of museum exhibits are realized through multi-terminal full-dimensional data acquisition, dual-network OV transmission, intelligent routing scheduling and digital twinning modeling. The method is executed according to six steps of data acquisition, transmission, scheduling, service, application and security, and solves the problems that an existing digital museum is low in transmission efficiency, poor in routing adaptability, weak in scene expansibility, insufficient in security protection and the like. According to the invention, the transmission time delay is reduced, the resource utilization rate is high, multi-theme venue expansion and standardized scheme output are supported, and core technical support is provided to adapt to various digital museum construction requirements.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of digital museum, future network, digital twin, in particular to a digital museum platform system and method based on future network / FN and OV overlap multiplexing and FN / M virtual-real routing, which is suitable for the digital construction of industrial heritage digital museum, historical relic digital museum, special cultural digital museum and other multi-type venues, and can realize the digital protection, immersive display, interactive experience and industry empowerment of exhibits. BACKGROUND

[0002] As the core carrier of cultural heritage protection and dissemination, digital museum has become an important part of the national cultural digitalization strategy. At present, the construction of digital museum in China generally faces the following technical difficulties.

[0003] 1. Data acquisition and transmission contradiction is prominent: digital museum needs to collect millimeter-level structure data, hyperspectral material data and massive historical archive data. The traditional network has limited bandwidth and high latency, and single transmission link is prone to data loss and transmission interruption, resulting in low modeling efficiency and interactive experience lag.

[0004] 2. Poor routing scheduling adaptability: existing platforms mostly use fixed routing mode, which cannot dynamically adjust according to data priority (such as real-time interactive data and offline storage data) and network load, resulting in insufficient resources for core interactive scenarios and low resource utilization rate.

[0005] 3. Insufficient digital twin restoration: most platforms have low modeling accuracy (error ≥1mm), lack of physical simulation and cultural connotation integration, and can only realize static display of exhibits, cannot restore historical scenes and operation processes, and have poor immersive experience.

[0006] 4. Weak scene expandability and industry empowerment: most platforms are developed for single type of exhibits, lack of standardized architecture, cannot quickly adapt to multiple exhibits such as industrial heritage and cultural relics, and are difficult to output replicable solutions to similar museums, with limited industry value.

[0007] 5. Incomplete security protection system: exhibit data contains core technical archives and cultural relic privacy information (such as unpublished cultural relic details), and existing platforms have shortcomings in data encryption, permission management and attack protection, which are prone to data leakage and tampering risks.

[0008] In view of the above problems, it is urgent to develop a digital museum platform integrating future network, overlap multiplexing transmission, intelligent routing scheduling and high-precision digital twin technology, to solve the core problems of data transmission, routing optimization, immersive display and security protection, and promote the high-quality development of digital museum. SUMMARY

[0009] 1. Invention purposes.

[0010] The present application aims to overcome the technical defects of the existing digital museum platform, and provides a digital museum platform system and method based on future network / FN and OV overlapping multiplexing and FN / M virtual-real routing, which realizes efficient and stable transmission of full-dimensional data of exhibits, intelligent scheduling of routing, millimeter-level digital twin restoration, multi-scene interactive display, and has standardized output and full-process security protection capability, adapts to the construction needs of multiple types of digital museums, and helps the digitalization and activation of cultural heritage and the coordinated development of the industry.

[0011] 2. Technical solutions.

[0012] The core technical solution of the present application is to construct a "six-layer collaborative" digital museum platform system, and to support a full-process standardized implementation method, as follows.

[0013] 2.1, Platform system architecture (corresponding to claim 1): The system is designed by function layering, and each layer is cooperatively connected to form a full-closed loop system from data collection to application landing.

[0014] 2.2, Heritage data collection layer: As the core of data input, special collection terminals are configured according to the characteristics of museum exhibits to realize full-dimensional data collection of "physical structure + material properties + cultural connotation", and an AI preprocessing module is used to guarantee data quality and provide a standardized data basis for subsequent links.

[0015] 2.3, FN-OV overlapping multiplexing transmission layer: The future network (FN) and OV virtual network overlapping architecture are innovatively adopted, data parallel transmission and redundancy backup are realized through a dedicated protocol, a data compression optimization module is used to improve transmission efficiency, and the pain points of traditional single network transmission are solved.

[0016] 2.4, FN / M virtual-real routing scheduling layer: Core innovation layer, based on data priority and network state, dynamically allocate virtual-real routing, fault self-healing module guarantees transmission continuity, greatly improves resource utilization and interaction experience.

[0017] 2.5, Digital twin core service layer: Realize the core capability of digitalization of exhibits, millimeter-level modeling + physical simulation + cultural DNA atlas integration, make the exhibits from "static display" to "dynamic interactive, connotation traceable".

[0018] 2.6, Museum multi-application layer: Output value for users and industry, covering virtual tour, immersive roaming, interactive experience, research education and other services, and standardized modules support industry solution output.

[0019] 2.7, Security layer: Throughout the whole process, using national encryption algorithm, role-based permission management, multi-dimensional attack protection, to protect the safety of exhibit data and system.

[0020] 3. Platform implementation method.

[0021] The method is executed according to a "six-step standardized process", ensuring that the system can be landed and reproduced.

[0022] 3.1, Step S1 (data acquisition preprocessing): focusing on "full, accurate, and standard", multi-terminal acquisition of full-dimensional data of exhibits, AI algorithm denoising and completion, and standardized format adaptation for subsequent links.

[0023] 3.2, Step S2 (overlapping multiplexing transmission): double network parallel transmission + data compression + redundancy backup, link allocation according to data type, ensuring low delay and no loss.

[0024] 3.4, Step S3 (virtual-real routing scheduling): intelligently determining data priority, dynamically allocating routing resources, quickly switching in case of failure, and optimizing resource utilization.

[0025] 3.5, Step S4 (digital twin construction): high-precision modeling + cultural atlas integration + distributed storage, constructing digital core assets of exhibits.

[0026] 3.6, Step S5 (multi-application landing): providing immersive services for the public, outputting standardized solutions for the industry, and adapting to multiple scenarios.

[0027] 3.7, Step S6 (full-process security guarantee): encryption protection, permission control, and attack interception in all links to ensure stable and compliant operation of the system.

[0028] 4. Beneficial effects.

[0029] Compared with the prior art, the present application has the following significant advantages.

[0030] 4.1, Transmission efficiency and stability are improved: FN-OV overlapping multiplexing architecture + data compression, transmission delay is reduced by more than 60%, data loss rate tends to be 0, modeling data transmission efficiency is improved by 5 times, and massive exhibits can be quickly digitized.

[0031] 4.2, Routing scheduling is intelligent: virtual-real routing dynamically matches priority, resource utilization rate is improved by 50%, high-priority data interaction delay is ≤30ms, and the problem of lag is completely solved.

[0032] 4.3, High digital twin restoration: millimeter-level modeling (error ≤0.3mm) + physical simulation + cultural DNA atlas, exhibit restoration fidelity ≥95%, cultural connotation is traceable, and immersive experience is significantly improved.

[0033] 4.4, Scalability and industry empowerment: The standardized architecture adapts to multiple types of exhibits such as industrial heritage and cultural relics, can quickly expand multi-theme venues, and the standardized solution output module can empower similar museums across the country, reducing the industry digital threshold.

[0034] 4.5, Comprehensive security: National encryption algorithm + multi-dimensional attack protection, attack interception rate ≥ 99%, data leakage risk is 0, and core exhibit data security is guaranteed.

[0035] 4.6, Adapt to national strategy: In line with the national cultural digitalization strategy and cultural heritage protection and utilization policy, it can be used as a digital museum construction benchmark case to help build a cultural power. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 is a digital museum platform system architecture diagram, and its content is described as follows: a top-down hierarchical layout is adopted, each layer is marked with a rectangular box, and the layer name and core module are marked in the box; the data flow direction (arrow pointing down) is marked with a straight line with an arrow between layers; the security protection layer covers the whole layer with a dashed line; clearly show the "six-layer coordination" logic, the module function corresponds to claim 1 one by one, and the system core composition is easy to understand. The six-layer structure and the core module of each layer are clearly displayed, the data flow between modules is clear, the coverage range of the security protection layer is intuitive and visible, and the overall logic of the system is easy to understand.

[0037] Figure 2 is a FN-OV overlapping multiplexing transmission architecture diagram, and its content is described as follows: the core realizes efficient transmission of "classified data + double link + whole process control": 1. The input end receives the standardized data set output by the heritage data collection layer, which is divided into real-time interactive data (1-2 level) and offline backup data (3-5 level) according to priority; 2. The core layer is scheduled by overlapping multiplexing protocol, and after compression optimization (compression rate ≥ 60%), it is transmitted by FN link (real-time data, delay ≤ 50ms) and OV link (backup data, success rate ≥ 99.99%) in parallel, and the link monitoring module controls the state in real time; 3. The output end accesses the FN / M virtual-real routing scheduling layer, completes the efficient handover of data, and adapts to the subsequent routing allocation requirements. 4, highlight the overlapping relationship of FN and OV double link, the data allocation logic and core parameter marking are clear, and the innovative design of the transmission layer can be directly reflected.

[0038] Figure 3The FN / M virtual real routing scheduling flowchart is shown in the figure, and the content is as follows: the flowchart nodes are marked with square boxes, and the nodes are marked with “normal data processing node→priority division (1-5 level)→routing load analysis→virtual real routing allocation→state monitoring→main device fault automatic switching / optimization→core business processing module; the core business processing module→main device fault automatic switching / optimization→high-priority data allocation node mark, fault automatic switching node mark, clear “100 ms switching” core parameter, embody the intelligence of scheduling. The flowchart nodes are complete, the core links such as priority judgment and fault switching are highlighted, the parameters are accurately marked, and the intelligence of routing scheduling is easy to understand.

[0039] Figure 4 The digital museum platform implementation method flowchart is shown in the figure, and the content is as follows: the starting point is a circle, the steps are rectangles, and the ending point is a double rectangle. The step sequence is clear, the key actions and parameters are clear, and the flowchart has obvious closed loop characteristics, which provides clear guidance for technical implementation. DETAILED DESCRIPTION

[0040] The specific implementation process of the application is described in detail below in combination with the construction scene of the “industrial heritage digital museum”, so that those skilled in the art can reproduce it.

[0041] 1. System deployment preparation.

[0042] 1.1, hardware deployment.

[0043] - Heritage data collection layer: configure 3 mm level laser scanning equipment, 2 high-spectrum cultural relic collection equipment (400-2500 nm spectral range), 10 groups of industrial sensors (monitoring factory environment), 5 archive digitization terminals, and 3 sets of 4K audio and video collection equipment.

[0044] - FN-OV transmission layer: deploy 2 future network switches, 2 OV virtual gateways and 1 data compression server.

[0045] - Core service layer: deploy 3 digital twin modeling servers and 4 distributed storage devices (3 main and 1 backup).

[0046] - Application and security layer: deploy 2 application servers, 1 encryption server, 2 firewalls and 1 intrusion detection device.

[0047] 1.2, software adaptation.

[0048] - Develop FN-OV overlapping multiplexing protocol (including 3 sub-protocols) and integrate it into the transmission layer software.

[0049] - Develop FN / M virtual real fusion routing algorithm module and embed it in the routing management system.

[0050] - The digital twin modeling engine adopts industrial-level modeling software, integrating the geometric modeling, physical simulation modules of the present application.

[0051] - The security software configuration SM2 / SM4 national encryption algorithm, RBAC permission management system.

[0052] 2. The method is implemented step by step.

[0053] - Step S1: Collect the 3D data of the synthetic ammonia production line equipment of the Bedou industrial heritage, hyperspectral material data, 1000+ technical drawings, 50+ hours of era memory audio and video; remove scanning data interference through AI denoising algorithm, complete missing process parameters; standardize all data into JSON format, total data volume about 5TB.

[0054] - Step S2: The data compression module compresses 5TB of data to 2TB (compression ratio 60%); transmits 1-2 level data (transmission delay 45ms) such as equipment modeling and real-time interaction through FN link, 3-5 level data (backup success rate 99.995%) such as drawing archives and backup data through OV link; the link monitoring module monitors the state 10 times per second, with no data loss.

[0055] - Step S3: Determine that the real-time recovery data of the production scene is the first priority, and assign M entity routing (load 75%); archive backup data is level 5, and FN virtual routing is assigned; when M entity routing node failure is monitored, switch to standby node within 80ms, with addressing delay of 9ms.

[0056] - Step S4: The modeling engine constructs a millimeter-level digital twin model of the factory and production line (error 0.2mm), and restores the chemical reaction of synthetic ammonia production and the mechanical properties of equipment operation through physical simulation; constructs an industrial culture DNA map, integrates equipment parameters, production processes, salt-ting people's construction memory, etc.; distributed storage devices store full data, supporting second-level retrieval.

[0057] - Step S5: The virtual tour module provides AI intelligent tour (supports voice query), and the metaverse roaming module realizes 360° factory roaming; the exhibit interaction module supports user zoom-in to view equipment details and trigger production process demonstration (response delay 25ms); the research and education module outputs the "industrial heritage digital protection" standardized course; the standardized platform output module outputs a simplified version of the technical solution to 2 local industrial heritage museums.

[0058] - Step S6: Use SM2 algorithm to encrypt data transmission and SM4 algorithm to encrypt database; based on RBAC model, assign permissions, ordinary users can only access roaming and tour functions, administrators can modify core data; the attack protection module intercepts 2 DDoS attacks, and the security audit module records the whole process log; the data backup device realizes fault recovery within 1 minute.

[0059] 3. Effect verification.

[0060] After implementation, the platform core indicators meet the standards.

[0061] - Transmission performance: data transmission delay 45ms (reduced by 65%), data loss rate 0, resource utilization rate increased by 52%.

[0062] - Modeling and experience: digital twin model accuracy 0.2mm, interactive response delay 25ms, user experience satisfaction 98%.

[0063] - Security performance: attack interception rate 99.5%, data encryption compliance, no leakage risk.

[0064] - Industry adaptation: successfully adapted to industrial heritage scenes, standardized solution output to 2 museums, scalability meets standards.

[0065] 4. Post-maintenance.

[0066] - Daily: update exhibit data (such as new historical photos, oral history materials), monitor system operation status.

[0067] - Weekly: optimize FN / M routing algorithm parameters, adjust network load distribution.

[0068] - Monthly: upgrade security protection strategy, data backup verification.

[0069] - Quarterly: update industry solutions through standardized modules, adapt to new types of exhibit digitization needs. Invention key point summary

[0070] The core innovation of the invention is as follows.

[0071] Construct FN-OV overlapping multiplexing transmission architecture to solve the problem of massive data transmission efficiency and stability in digital museums.

[0072] Design FN / M virtual-real fusion routing algorithm to realize dynamic matching of data priority and routing resources, and guarantee high-concurrency interactive experience.

[0073] Integrate millimeter-level digital twin + cultural DNA map to improve exhibit digitization restoration degree and cultural connotation dissemination ability.

[0074] Build a standardized and scalable architecture to adapt to multiple types of digital museums and industry solution output.

[0075] Form a full-process security protection system to ensure the safety of core exhibit data. The above-mentioned innovations effectively overcome the defects of existing technologies, can be widely applied to the construction of various digital museums, and have significant technical promotion and industrial empowerment value.

Claims

1. A digital museum platform system based on Future Network / FN and OV overlapping multiplexing and FN / M virtual-physical routing, characterized in that, This includes a heritage data acquisition layer, an FN-OV overlapping and multiplexing transmission layer, an FN / M virtual-physical routing and scheduling layer, a digital twin core service layer, a museum multi-application layer, and a security layer. These layers work together to achieve full-dimensional digital processing, transmission, scheduling, and application of museum exhibits, adapting to the construction needs of various types of digital museums, including industrial heritage and historical relics. Specifically, this includes: 1.1 The heritage data acquisition layer is equipped with millimeter-level laser scanning equipment, hyperspectral cultural relic acquisition equipment, industrial sensors, archive digitization terminals and 4K audio and video acquisition equipment, which are used to collect physical structure data, material characteristic data, technical archive data, historical background audio and video data and venue environment perception data of museum exhibits. The AI ​​preprocessing module completes data denoising, completion and format standardization to form a full-dimensional standardized dataset. 1.2 The FN-OV overlapping multiplexing transmission layer, based on the high bandwidth and low latency characteristics of Future Network (FN), superimposes OV (overlapping virtual network) to construct a dual transmission architecture, integrates overlapping multiplexing protocol module, data compression optimization module and link monitoring module, realizes parallel transmission, redundancy backup and compression optimization of standardized datasets and interactive data, and ensures the stability and efficiency of massive data transmission; 1.3 The FN / M virtual-physical routing scheduling layer includes an FN / M virtual-physical fusion routing algorithm module, a routing priority determination module, and a fault self-healing module. Based on data types (modeling data, interactive data, stored data), application scenario requirements (real-time display / offline query), and network load status, it dynamically allocates FN virtual routing and M physical routing resources to achieve fault switching within 100ms and ensure smooth operation in high-concurrency interactive scenarios. 1.4 The core service layer of the digital twin integrates a digital twin modeling engine, an exhibit cultural DNA map construction module, a distributed data storage module, and a scene dynamic restoration module. The modeling engine realizes the construction of millimeter-level digital twin models of exhibits and venues. The cultural DNA map integrates related data such as the history, craftsmanship, and value of exhibits. The distributed storage module supports the secure storage of massive amounts of data and second-level retrieval. 1.5 The museum's multi-application layer is configured with a virtual tour module, an immersive tour module, an exhibit interactive experience module, a study tour module, and a standardized platform output module, providing services such as VR / AR virtual tours, metaverse immersive tours, 3D exhibit interaction, and online study tour courses. The standardized module can output digital solutions to similar museums. 1.6 The security layer includes a national cryptographic algorithm encryption module, an RBAC role and permission management module, a network attack protection module, and a data backup and recovery module. It provides encryption protection for the entire process of data collection, transmission, storage, and application, resists malicious attacks and data leakage risks, and ensures the compliant operation of the platform.

2. A method for implementing a digital museum platform based on Future Network / FN and OV overlapping multiplexing and FN / M virtual-physical routing, characterized in that, The system described in claim 1 is applied to include the following steps: S1: Comprehensive data collection and preprocessing of exhibits. Through multiple types of terminals in the heritage data collection layer, we collect physical, material, archival, audio-visual, and environmental data of museum exhibits. We use AI intelligent noise reduction algorithms to remove interference information, fill in missing data, and standardize the data into JSON format to adapt to subsequent transmission and modeling needs. S2: FN-OV Overlapping Multiplexing Data Transmission: The standardized dataset is transmitted to the FN-OV overlapping multiplexing transmission layer. The data is compressed by the data compression optimization module (compression rate ≥60%). Based on the overlapping multiplexing protocol, the FN core transmission link (carrying real-time interactive data) and the OV virtual transmission link (carrying backup data / low-frequency data) are allocated. The link monitoring module monitors the link status 10 times / second. S3: FN / M virtual and physical route intelligent scheduling. After receiving the transmitted data, the FN / M virtual and physical route scheduling layer divides the data into 5 priority levels (Level 1: real-time interactive data, Level 5: historical archive backup data). The FN / M virtual and physical fusion route algorithm module analyzes the network load and allocates M physical routes (latency ≤ 10ms) for Level 1-2 data and FN virtual routes (latency ≤ 20ms) for Level 3-5 data. When the fault self-healing module detects a route fault, it switches to the backup route within 50-100ms. S4: Digital Twin Core Service Construction. Based on the scheduled data, the digital twin core service layer constructs millimeter-level digital twin models of exhibits and venues through a modeling engine. The cultural DNA map of exhibits is constructed according to four dimensions: "physical characteristics - historical background - craft value - derivative applications". The distributed storage module completes multi-node backup and storage of data, and the scene dynamic restoration module realizes dynamic simulation of the historical scenes and usage processes of exhibits. S5: The museum's diverse applications are implemented. Based on the core services of digital twins, the museum's diverse application layer provides AI-powered intelligent tours through the virtual tour module, realizes 360° roaming of the metaverse through the immersive roaming module, supports users to control virtual exhibits and view details online through the exhibit interaction experience module, outputs standardized study tour courses through the study tour education module, and provides technical solutions to similar museums through the standardized platform output module. S6: End-to-end security protection. The security layer uses the national cryptographic SM2 / SM4 algorithm to encrypt data transmission and storage. Based on the RBAC model, it divides the roles into four categories: administrator, operation and maintenance personnel, ordinary users, and cooperative organizations, and configures differentiated permissions. The network attack protection module intercepts risks such as DNS attacks and data tampering, and the data backup and recovery module enables data recovery within 1 minute of failure.

3. The system according to claim 1, characterized in that, The hyperspectral artifact acquisition equipment in the heritage data acquisition layer has a spectral range of 400-2500nm and a material characteristic data acquisition accuracy of ≤0.01mm. It can identify key information such as surface micro-damage and material composition of artifacts, and is adapted to the needs of digital protection of historical artifacts.

4. The system according to claim 1, characterized in that, The overlapping multiplexing protocol module of the FN-OV overlapping multiplexing transport layer includes an FN network transmission optimization sub-protocol, an OV virtual network redundancy sub-protocol, and a dual-link synchronization sub-protocol, wherein the FN network transmission latency is ≤50ms, the OV network data backup success rate is ≥99.99%, and the dual-link synchronization error is ≤10ms.

5. The system according to claim 1, characterized in that, The FN / M virtual-real fusion routing algorithm module integrates a priority-routing matching sub-algorithm and a node load balancing sub-algorithm. The load of a single routing node is controlled below 80%, and the resource occupancy ratio of high-priority data (level 1-2) is not less than 60%, ensuring a good experience in real-time interactive scenarios.

6. The system according to claim 1, characterized in that, The digital twin modeling engine integrates three major sub-modules: geometric modeling, physical simulation, and texture rendering. The geometric modeling accuracy error is ≤0.3mm, the physical simulation can restore the operating mechanical characteristics of exhibits (such as industrial equipment) and the physical properties of cultural relics materials, and the texture rendering restores the original color and texture of exhibits with a realism of ≥95%.

7. The system according to claim 1, characterized in that, The exhibit interaction module of the museum's multi-application layer supports three interaction methods: gesture recognition, voice control, and VR device access. Users can zoom in and out to view exhibit details and trigger dynamic demonstrations of exhibits (such as the operation process of industrial equipment and the production process of cultural relics). The interaction response latency is ≤30ms.

8. The system according to claim 1, characterized in that, The network attack protection module of the security layer integrates DDoS attack interception, SQL injection protection, and malicious code detection functions, with an attack identification accuracy of ≥99% and an interception response time of ≤5ms, ensuring the platform's secure operation around the clock.

9. The method according to claim 2, characterized in that, The audio and video data acquisition in step S1 adopts 4K resolution + 60 frames / second standard, audio sampling rate ≥ 48kHz, and removes environmental noise through noise reduction algorithm. The audio and video synchronization error is ≤ 20ms, restoring the high-definition effect of the exhibit's historical scene and the audio of the explanation.

10. The method according to claim 2, characterized in that, The exhibit cultural DNA map in step S4 supports dynamic updates and related searches. Users can quickly locate the corresponding exhibit models, technical files, and historical videos by entering keywords (such as "industrial equipment - synthetic ammonia - 1970s"). The search response time is ≤1 second.

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