Digitized interactive building block system and method for historic building

Abstract

The invention discloses an ancient building digital interactive building block system and method, and relates to the technical field of digital education, the ancient building digital interactive building block system comprises a standardized tenon-and-mortise building block unit generated by parametric modeling, an anti-interference RFID chip is pre-embedded in the standardized tenon-and-mortise building block unit, and three-dimensional topological data and historical information are stored in the standardized tenon-and-mortise building block unit; the multi-modal identification terminal integrates a UHF RFID reader-writer and a high-precision camera module and is used for synchronously reading a physical splicing angle and a component space pose; a digitized interactive building block method for ancient buildings comprises the following steps: S1, generating standardized tenon-and-mortise building block units based on a topological optimization algorithm, and setting ABS mixed glass fiber material parameters and 1: 20 proportion precision, so that the building block units have preset physical characteristics and historical data carrier functions; and S2, in the entity splicing process, the three-dimensional topological data stored in the RFID chip are synchronously read through the multi-mode identification terminal, and the innovative education system has high-precision physical characteristics and intelligent interaction capability.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of digital education, in particular to a digital interactive building block system for ancient architecture and a method thereof. BACKGROUND

[0002] Traditional ancient architecture model teaching mainly relies on physical restoration models and two-dimensional plane display means, which can present the basic architectural form, but there are significant limitations in the restoration degree of mortise and tenon structure details, visualization of mechanical action and depth analysis of historical information. The existing digital solutions mostly adopt a one-way demonstration mode of three-dimensional modeling combined with VR devices, which lacks physical interaction experience of entity components and is difficult to realize real-time mechanical simulation and structure correction guidance in the splicing process. Especially in the teaching dimensions of ancient architecture load transmission path restoration and historical construction technique inheritance, the existing technology has not solved the key technical problems such as two-way synchronization of virtual and real space data and multi-modal interactive feedback; The current technical solution mainly has three defects: (1) the entity model has insufficient manufacturing precision, which is difficult to maintain a mortise and tenon interface tolerance of ≤0.1mm at a scale of 1:20; (2) the physical splicing process lacks an intelligent correction mechanism, which cannot detect angle deviations of more than ±3° in real time and provide three-dimensional correction guidance; (3) the virtual display is disconnected from the physical operation, which fails to restore the mechanical properties of ancient architecture through tactile feedback and the historical information presentation is single. These problems seriously restrict the digital inheritance effect of ancient architecture construction techniques, and therefore we propose a digital interactive building block system for ancient architecture and a method thereof. SUMMARY

[0003] In view of the deficiencies of the prior art, the present application provides a digital interactive building block system for ancient architecture and a method thereof, which is an innovative education system with high-precision physical properties and intelligent interaction capabilities, and can effectively solve the problems in the background art.

[0004] To achieve the above-mentioned purpose, the present application provides the following technical solution: a digital interactive building block system for ancient architecture, comprising standardized mortise and tenon block units generated by parameterized modeling, which internally embed anti-interference RFID chips and store three-dimensional topological data and historical information; a multi-modal recognition terminal integrates a UHF RFID reader and a high-precision camera module, which is used to synchronously read the physical splicing angle and the component spatial pose; a cross-platform AR engine realizes virtual and real space anchoring through a SLAM algorithm, and generates dynamic disassembly animations using ray tracing technology; a visualization module is associated with a piezoelectric ceramic feedback unit to generate an interactive three-dimensional holographic model and mechanical simulation effect on the terminal screen; a two-way feedback system generates a structure optimization scheme according to the mechanical data.

[0005] The digital interactive building block method for ancient architecture comprises the following steps: S1: Generate standardized mortise and tenon building block units based on a topology optimization algorithm, set ABS mixed glass fiber material parameters and 1:20 scale accuracy, so that the building block units have preset physical properties and historical data carrier functions; S2: During the physical splicing process, the multimodal recognition terminal synchronously reads the 3D topological data stored in the RFID chip, and uses a high-frame-rate camera to capture the real-time splicing angle to analyze the 3D spatial position and occlusion status of the component; S3: Based on the results of spatial pose analysis, the AR engine is triggered to dynamically render the detachable animation of the bracket structure. Ray tracing technology is used to generate high-precision holographic projections, visualizing the historical evolution of the mortise and tenon joints and their mechanical connection relationships in real time. S4: Loading multi-dimensional force field parameters into the virtual model, synchronously driving the piezoelectric ceramic modules inside the physical building to generate corresponding vibration waveforms, restoring the load transfer path of the ancient building through tactile feedback, and collecting structural deformation data; S5: Based on the cross-comparison of mechanical simulation data and historical structural databases, a structural stability assessment report including spatiotemporal analysis is generated. A three-dimensional optimization model including component replacement plans, weight adjustment strategies, and historical restoration suggestions is pushed to the user through a two-way feedback system.

[0006] Preferably, the topology optimization algorithm in step S1 determines the wall thickness distribution and reinforcement rib topology structure of the building block unit through finite element iterative calculation, so that the load-bearing capacity of the single building block is ≥5kg, the weight error is controlled within the range of ±3g, and the mortise and tenon interface tolerance is ≤0.1mm.

[0007] Preferably, the RFID chip in step S1 adopts a near-field communication protocol with a reading and writing distance of 5-15 cm. The stored data includes the historical age of the component, the material evolution map and the cultural allusion index field. The data encryption level reaches the AES-256 standard and supports dynamic writing of construction error correction records.

[0008] Preferably, the splicing angle analysis in step S2 includes a real-time error correction mechanism. When it is detected that the mortise and tenon occlusion angle deviation exceeds ±3°, a red warning box is superimposed through AR projection and a buzzer prompt is triggered. At the same time, a three-dimensional correction guidance animation including a deviation vector diagram is automatically generated.

[0009] Preferably, the dynamic disassembly animation in step S3 uses LOD technology to dynamically adjust the model detail level, maintains the number of model faces ≥ 500,000 within a viewing distance of 2 meters, and a rendering frame rate ≥ 90fps, and supports real-time data synchronization and collision detection under multi-user collaborative perspectives.

[0010] Preferably, the piezoelectric ceramic module vibration waveform in step S4 is linearly related to the virtual force field strength, the vibration frequency range is 20-200Hz, the acceleration peak value reaches 1.5g, the response delay is ≤10ms, and the vibration direction is consistent with the direction of the virtual force field vector.

[0011] Preferably, the historical evolution process visualization in step S3 comprises a step-by-step teaching guide module, and the mortise and tenon splicing sequence score is automatically generated by comparing the historical structure database; when the score deviation rate is >15%, an expert correction mode is activated, and a historical building specification library is called to generate a structure optimization scheme in accordance with the Yingzao Fashi.

[0012] Preferably, the evaluation report calculation index in step S5 comprises: node displacement (detection accuracy 0.1mm), maximum stress value (calculation accuracy 0.1MPa), structure safety factor based on GB50153-2008 specification, and historical structure matching degree (0-100 points), and the report is automatically associated with the seismic performance comparison data of similar ancient buildings when generated.

[0013] Preferably, the three-dimensional optimization model generation in step S5 comprises the following logic: when the safety factor is detected to be <1.5, a dangerous component replacement scheme is deduced by a finite element solver, the node positions that need to be reinforced are highlighted in the AR interface, and a counterweight adjustment strategy based on the historical structure database is pushed, which comprises optimization suggestions and material replacement schemes for different dynasties.

[0014] In summary, the beneficial effects of the present application are: 1. Through the deep combination of entity mortise and tenon blocks and augmented reality (AR) dynamic disassembly animation, a three-dimensional teaching mode integrating tactile, visual and mechanical feedback is constructed, which significantly improves the teaching efficiency of ancient building structure. Experimental research shows that compared with traditional model teaching, the cognitive accuracy rate and recognition speed of students on the structure and professional techniques of dougong are improved by an order of magnitude. The historical building structure database built in the system completely restores the process details of the mortise and tenon joints, with an error rate far lower than the industry standard. The tactile feedback module visualizes the abstract mechanical principles by simulating the load transmission path through precise physical vibration, greatly improving the students' understanding of the mechanical properties of ancient buildings.

[0015] 2. Based on the cooperative mechanism of finite element mechanics analysis and entity feedback, the system constructs a high-precision digital twin simulation platform. In ancient building repair projects, the mechanical calculation accuracy reaches the industry leading level, the dynamic force field feedback delay and vibration waveform restoration degree meet the requirements of international standards. Through advanced topology optimization algorithm, the block unit generated by the system far exceeds the traditional craft products in core indicators such as bending strength and weight control, providing technical support for the accurate restoration of the physical properties of ancient buildings.

[0016] 3. Through multi-dimensional data cross-validation mechanism, scientific decision support is provided for ancient building repair. Its intelligent recognition function can accurately detect non-original components in historical buildings, and generate restoration schemes that meet the authenticity requirements. The seismic performance simulation module integrates massive historical monitoring data, and the prediction ability of building dynamic characteristics is verified by authoritative agencies. The material adaptation scheme combines traditional wood characteristics and modern composite material parameters to achieve the organic balance of historical construction and engineering safety.

[0017] 4. Through the intelligent error correction module, common operation errors are identified in real time through machine learning algorithms, and dynamic correction guidelines are generated. Its adaptive learning mechanism automatically calls historical literature resources when repeated errors are detected, and through high-precision disassembly animation, the teaching effect is enhanced. The historical construction scoring system integrates multiple ancient book specifications, significantly improves the process restoration degree of students' works, and builds a standardized evaluation system for the digital inheritance of traditional construction skills. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 The flow chart of the ancient building digital interactive building block method of the present application. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of the present application.

[0020] Please refer to Figure 1The application provides an ancient building digital interactive building block system, which comprises a standardized mortise and tenon building block unit generated by parameterized modeling, an anti-interference RFID chip is pre-embedded in the building block unit, and three-dimensional topological data and historical information are stored in the building block unit; a multi-modal recognition terminal is integrated with a UHF RFID reader and a high-precision camera module, and is used for synchronously reading a physical splicing angle and a component space pose; a cross-platform AR engine realizes virtual and real space anchoring through a SLAM algorithm, and generates a dynamic disassembly animation by using a ray tracing technology; a visual module is associated with a piezoelectric ceramic feedback unit, and an interactive three-dimensional holographic model and a mechanical simulation effect are generated on a terminal screen; a two-way feedback system generates a structure optimization scheme according to mechanical data, three-dimensional topological data is encoded in a STEP AP242 format, and the three-dimensional topological data comprises component geometric parameters, material properties and node constraint conditions; a layered compression technology is used for data storage, a compression rate is greater than or equal to 85%, lossless decompression is supported, a UHF RFID reader supports an ISO / IEC 18000-63 protocol, multi-tag anti-collision reading is realized within a distance of 5-15 cm, a reading and writing speed is greater than or equal to 200 tags per second, a signal-to-noise ratio is greater than or equal to 20 dB, a SLAM algorithm adopts an ORB-SLAM3 framework, IMU inertial data and a visual odometry are fused, a positioning accuracy reaches a millimeter level (±2 mm), iOS / Android / Windows multi-platform SDK calling is supported, parameterized modeling adopts a BIM building information model and point cloud scanning data fusion technology, a dougong parameterized component library matched with a specification of “Yingzao Fashi” is constructed, and a standardized conversion accuracy of different dynasty building forms is less than or equal to 0.5 mm.

[0021] The ancient building digital interactive building block method comprises the following steps: S1: Based on the topology optimization algorithm, a standardized mortise and tenon building block unit is generated, the ABS mixed glass fiber material parameters and 1:20 scale accuracy are set, the building block unit has preset physical characteristics and historical data carrier functions, the topology optimization algorithm determines the wall thickness distribution and reinforcement rib topology structure of the building block unit through finite element iterative calculation, the single building block bearing capacity is ≥5kg, the weight error is controlled within ±3g, the mortise and tenon interface tolerance is ≤0.1mm, the RFID chip uses near field communication protocol, the read-write distance is 5-15cm, the stored data includes component historical age, material evolution map and cultural allusion index field, the data encryption level reaches AES-256 standard, and supports dynamic writing of construction error correction record, the glass fiber content in ABS mixed glass fiber material is 15%-20%, the thermal expansion coefficient is controlled to be ≤2.5×10^-5 / ℃ through injection molding process, the mold temperature is 80-100℃, the injection pressure is 80-120MPa, the holding time is 15-20 seconds, the surface roughness Ra is ≤0.8μm, the size repeatability is ±0.02mm, the Altair OptiStruct solver is used, the grid size is set to 0.5mm, the convergence threshold is 1e-4, the wall thickness distribution is optimized by variable density method, the bending stiffness of single building block is ≥1200MPa, the impact resistance meets ASTM D256 standard, the chip storage uses EEPROM memory, the erase-write times are ≥100,000 times, and the data writing speed is ≤50ms / time; S2: In the process of entity splicing, the three-dimensional topology data stored in the RFID chip is read synchronously through the multi-modal recognition terminal, and the real-time splicing angle is captured by using a high-frame-rate camera to analyze the three-dimensional space pose and occlusion state of the component. The splicing angle analysis includes a real-time error correction mechanism. When the mortise and tenon occlusion angle deviation is detected to be more than ±3°, a red warning box is superimposed by AR projection and a buzzing prompt is triggered, and a three-dimensional correction guide animation including a deviation vector diagram is automatically generated. The camera module integrates an NVIDIA Jetson Nano processor, runs an improved YOLOv5 model to detect the building block edge profile in real time, the frame rate is ≥240fps, and the sub-pixel edge detection algorithm is used to realize a splicing angle recognition accuracy of 0.05°. The PnP algorithm is used to calculate the 6-degree-of-freedom pose, the pose update frequency is ≥30Hz, the angle analysis error is ≤0.1°, the animation is rendered by using the Unity engine, the inverse kinematics solving path is generated according to the deviation angle, and the frame interpolation algorithm uses the Catmull-Rom spline curve to ensure smooth transition of the motion trajectory. S3: According to the spatial pose analysis result, trigger the AR engine to dynamically render the detachable animation of the corbel bracket structure, generate high-precision holographic projection using ray tracing technology, and visualize the historical evolution process and mechanical connection relationship of the mortise and tenon joint in real time. The dynamic disassembly animation dynamically adjusts the model detail level using LOD technology, maintains the model face number ≥ 500,000 within a distance of 2 meters, and the rendering frame rate ≥ 90fps. It also supports real-time data synchronization and collision detection in the multi-user collaborative perspective. The historical evolution process visualization includes a step-by-step teaching guide module. The mortise and tenon splicing order score is automatically generated by comparing the historical construction database. When the score deviation rate > 15%, the expert correction mode is activated, and the historical building specification library is called to generate a construction optimization scheme that meets the "Yingzao Fashi". Based on Vulkan RT API, ray tracing is implemented, supporting diffuse reflection, specular reflection, and caustic effect rendering. The lighting model uses Disney BRDF, with a sampling number per pixel ≥ 64, a ray recursion depth of 8 layers, and a response time ≤ 5ms. It supports 16 concurrent user operations. The database integrates corbel bracket construction data from the Tang, Song, Yuan, Ming, and Qing dynasties, establishes a feature vector matrix containing 256 typical mortise and tenon joints, and uses cosine similarity algorithm for construction matching degree calculation. The built-in LSTM neural network dynamically adjusts the teaching pace, and triggers the adaptive learning mode when there are three consecutive operation errors, pushing historical anecdotes videos and construction principle graphics. S4: Load multi-dimensional force field parameters in the virtual model, synchronize the driving of the piezoelectric ceramic modules inside the physical building blocks to generate corresponding vibration waveforms, restore the load transmission path of ancient buildings through tactile feedback, and collect structural deformation data. The vibration waveform of the piezoelectric ceramic module is linearly related to the virtual force field intensity, with a vibration frequency range of 20-200Hz and an acceleration peak of 1.5g. The response delay is ≤10ms, and the vibration direction is consistent with the virtual force field vector direction. The piezoelectric ceramic module adopts a ring array arrangement, with 4-6 piezoelectric ceramic sheets with a diameter of 5mm built into each building block unit. The AD9833 signal generator generates sine wave / square wave / sawtooth wave, with an output current peak of ±200mA and a voltage range of 0-24V adjustable. The vibration energy density is ≥0.5mJ / cm 3 , integrated with strain gauges and MEMS accelerometers, with a sampling rate of 1kHz. The Kalman filter is used to eliminate noise, and the deformation data is uploaded to the cloud in real time for Fourier transform analysis with a frequency domain resolution ≤1Hz. The phase control algorithm is used to realize vector vibration synthesis, with a spatial positioning accuracy of ±1mm. S5: Based on the cross comparison of mechanical simulation data and historical construction database, a structure stability evaluation report containing time and space dimension analysis is generated, a three-dimensional optimization model containing component replacement scheme, counterweight adjustment strategy and historical restoration suggestion is pushed to the user through a two-way feedback system, and the evaluation report calculation indexes include: node displacement (detection accuracy 0.1mm), maximum stress value (calculation accuracy 0.1MPa), structure safety factor based on GB50153-2008 specification, historical construction matching degree (0-100 points), and the report is automatically associated with the seismic performance comparison data of similar ancient buildings when generated, the three-dimensional optimization model is generated including the following logic: when the safety factor is detected to be less than 1.5, the dangerous component replacement scheme is deduced through the finite element solver, the node position that needs to be reinforced is highlighted in the AR interface, and the counterweight adjustment strategy based on the historical construction database is pushed, the strategy includes different dynasty's dougong shape optimization suggestion and material replacement scheme), adopt dynamic time warping (DTW) technology, real-time mechanical data and 3000+ historical cases are time matched, similarity calculation error ≤5%, data comes from national key cultural relics protection unit monitoring database, including 12 ancient buildings such as Yingxian Wood Tower and Foguang Temple, long-term monitoring data, adopt random forest algorithm to establish seismic performance prediction model, adopt ANSYS Mechanical APDL for nonlinear contact analysis, iterative step length is adaptively adjusted, generate topology optimization density cloud picture, recommend Pareto optimal solution set through NSGA-II multi-objective optimization algorithm, balance historical restoration and structure safety.

[0022] The present application provides the following embodiments: Embodiment one: ancient building digitization education training system This embodiment is based on the technical solutions of claims 1-5 and steps S1-S3, and focuses on the application and implementation of the system in the field of ancient building education. A certain building vocational college introduces the system to build a "Song-style construction technique training room", configures 20 sets of standardized mortise and tenon building block units and matching multi-modal identification terminals, and carries out a 12-week dougong structure special teaching.

[0023] Implementation process: 1. Preparation before class: the teacher generates the six-paving dougong model specified in "Yingzao Fashi" through the parametric modeling platform, sets that each set of building blocks contains 48 standardized components. The system automatically generates an RFID chip data package containing component codes, historical anecdotes and mechanical parameters, and sends it to the student terminal through an encrypted channel; 2. Physical Assembly: Students worked in groups to construct the brackets. When the third group of students misaligned the "Hua Gong" (HG-03) by 4.2°, the multimodal recognition terminal triggered a real-time error correction mechanism. A red warning box immediately appeared on the AR interface, an 800Hz intermittent beep sounded from the buzzer, and a guidance animation with a 3D vector correction arrow appeared on the terminal screen. 3. Historical Evolution Teaching: After completing the basic assembly, the teacher activates the "Step-by-Step Teaching Guidance Module." The system accesses the bracket arch data for the East Hall of Foguang Temple in Wutai Mountain from the historical structural database and automatically generates a structural compatibility score by comparing the student designs. Because the fifth group of students skipped the installation step for the "Angzui" component, the system detected a 15.7% process deviation rate, triggering the expert correction mode to deliver an optimized solution based on the "Song Dynasty Hall Construction Standards."

[0024] Technical parameter comparison table: Implementation Results: Comparative testing showed that the experimental group using this system significantly outperformed the traditional teaching group in terms of knowledge of bracket settling (increased by 38.7%) and splicing accuracy (error reduction by 72%). Of the 256 error correction events recorded by the system, 93% were corrected within 3 minutes, significantly improving teaching efficiency.

[0025] Example 2: Ancient Building Restoration Decision-Making Support System This example, based on the technical solutions in claims 6-8 and steps S4-S5, demonstrates the professional application of the system in ancient building protection projects. A cultural relics research institute applied it to the restoration of the leaning Yingxian Wooden Pagoda, simulating 12 reinforcement solutions using a digital building block system.

[0026] Implementation process: 1. On-site data collection: A handheld laser scanner was used to obtain point cloud data (with an accuracy of 0.05mm) of the damaged areas of the third-floor platform of the wooden pagoda. Digital building blocks adapted to this system were generated through BIM reverse modeling. The system automatically matched the "Liao Dynasty Construction Rules" to generate a benchmark model. 2. Mechanical simulation verification: Engineers implanted a piezoelectric ceramic array (20mm spacing) into the physical model. When simulating the load of the northwest column, the system detected a node displacement of 3.2mm (exceeding the limit of 2.5mm). The piezoelectric module generated a 120Hz vertical vibration wave, and a red stress cloud was displayed on the AR interface. 3. Intelligent optimization decision: The system calls the Liaoning and Jilin building structure database in 36 places nationwide, and recommends three optimization schemes through the random forest algorithm. After selecting the "add inclined support wood" scheme, the finite element analysis shows that the safety factor is improved from 1.2 to 1.8, and the system automatically generates construction drawings that meet the "Technical Standards for Maintenance and Reinforcement of Ancient Building Wood Structures".

[0027] Repair efficiency comparison table: Real-time effect: In the repair practice of the second floor auxiliary step of the wooden tower, the system found the problem of roof lifting and bending deviation 27 days in advance, and the recommended "lever load transfer" scheme saved 43% of the wood consumption. After 6 months of monitoring, the displacement of the repaired part is controlled within 0.3mm, meeting the Class I protection requirements.

[0028] Example three: public interaction system for tourism and travel integration This embodiment integrates claims 9-10 and the complete method flow, and demonstrates the innovative application of the system in the museum scene. A certain provincial museum sets up a "digital construction" experience hall, and realizes immersive dissemination of ancient building knowledge through the system.

[0029] Implementation process: 1. Multi-user collaborative construction: 8 observers assemble the hip roof model through gesture recognition. When the 5th user installs the "corner beam" component incorrectly, the system triggers the collaborative error correction mode, displaying a golden guide line in the individual AR field of view, while maintaining the stability of the overall model; 2. Seismic performance display: Load seismic wave parameters (peak acceleration 0.3g), piezoelectric module generates multi-directional composite vibration. The system displays the stress change curve of the key node in real time, and compares and analyzes it with the data of the Forbidden City Taihe Palace; 3. Personalized cultural and creative generation: After the tourists complete the assembly, the system generates a 3D printing model drawing according to the structure score, and pushes an electronic manual containing component anecdotes. In the last 1000 experiences, the average user stay time reached 47 minutes, and the knowledge acceptance rate increased by 215%.

[0030] Interactive strategy table: User type Interaction mode Content presentation strategy Feedback intensity Primary and secondary school students Gamified task guidance Animation demonstration + voice explanation Vibration intensity 30% Professional Free disassembly exploration Mechanical cloud map + data panel Vibration intensity 100% International tourists Multilingual AR labeling Three-dimensional sectional view + cultural comparison Vibration intensity 50% Implementation effect: After 6 months of operation, a total of 120,000 people were received, and 27 regional architectural forms were successfully reproduced. The 3.6TB user behavior data collected by the experience hall provides a new dimension for the dissemination of ancient building knowledge. The subsequent development of handheld mini terminals enables the system to be extended to rural cultural stations and other grassroots scenes.

[0031] Through the systematic implementation of the three examples, it is verified that the invention can: 1. Achieving accurate digital inheritance of ancient architectural techniques Through the deep integration of parametric modeling and historical construction database, the Song Dynasty "Yingzao Fashi", Liao and Jin Dynasty construction rules, and other ancient building features are completely reproduced at a scale of 1:20. The accuracy of the mortise and tenon joint is broken through the industry bottleneck of ±0.1mm. The built-in 256 typical construction topology data in the system reduces the operation error rate by 72% compared to traditional teaching, and the historical construction matching score reaches the professional certification standard.

[0032] 2. Building a new paradigm for multi-modal interactive teaching Relying on UHFRFID and high-frame visual fusion positioning technology, millisecond-level synchronization (delay ≤10ms) between physical assembly and AR disassembly animation is achieved. Experimental data shows that the tactile feedback module improves load path cognitive efficiency by 315%, and the vector consistency of piezoelectric ceramic waveform and virtual force field reaches 98.7%, significantly strengthening the visualization of the mechanical properties of ancient buildings.

[0033] 3. Innovating the decision support system for cultural heritage restoration In major restoration projects such as the Yingxian Wooden Tower, the system uses a random forest algorithm based on 3000+ historical cases to deduce the scheme, reducing the scheme generation cycle from 21 days to 2.3 hours and improving the restoration accuracy to ±0.8mm. The dynamic force field simulation module successfully warned 12 hidden structural risks, and the finite element optimization scheme made the safety factor of the key nodes break through 1.8, far exceeding the requirements of GB50153-2008.

[0034] 4. Expanding the dissemination path of cultural heritage activation The multi-user collaborative system in the cultural and tourism scene supports real-time interaction of 16 people, and achieves 90fps smooth display of 500,000 high-poly models through LOD rendering and ray tracing technology. Museum operation data shows that the system extends the average visitor stay time to 47 minutes, increases the knowledge conversion rate by 215%, and derives innovative formats such as 3D printing of cultural and creative products and multi-language AR guide.

[0035] 5. Establishing intelligent error correction and adaptive learning mechanism The assembly detection system based on improved YOLOv5 achieves 0.05° angle resolution accuracy, and automatically generates a three-dimensional correction animation when the deviation exceeds the limit (response time ≤5ms). The expert mode driven by machine learning can identify more than 15% of the process deviations, generate optimization schemes by calling ancient books such as "Yingzao Fashi", and reduce the repeated error rate by 89%, establishing a digital moat for the inheritance of traditional techniques.

[0036] These empirical data fully prove that the invention realizes technological paradigm innovation in the fields of ancient architectural education, protection and restoration, and cultural dissemination through physical and digital fusion, multi-modal perception interaction, and intelligent decision-making closed loop, providing a systematic solution for the living inheritance of cultural heritage.

[0037] The above merely illustrates the embodiments of the present application, and is not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process conversion, or direct or indirect application in other related technical fields, which is made according to the content of the present application, shall be included in the patent protection scope of the present application.

Claims

1. The ancient building digital interactive building block system is characterized by: It includes standardized mortise and tenon building block units generated by parametric modeling, which have an embedded anti-interference RFID chip inside and store three-dimensional topological data and historical information; the multimodal recognition terminal integrates a UHF RFID reader and a high-precision camera module for synchronously reading the physical splicing angle and the spatial posture of the component; the cross-platform AR engine realizes virtual and real space anchoring through the SLAM algorithm, and uses ray tracing technology to generate dynamic disassembly animation; the visualization module is associated with the piezoelectric ceramic feedback unit to generate an interactive three-dimensional holographic model and mechanical simulation effects on the terminal screen; the two-way feedback system generates a structural optimization plan based on the mechanical data.

2. The interactive building block method for digitalization of ancient buildings is characterized by: The following steps are involved: S1: Generate standardized mortise and tenon building block units based on a topology optimization algorithm, set ABS mixed glass fiber material parameters and 1:20 scale accuracy, so that the building block units have preset physical properties and historical data carrier functions; S2: During the physical splicing process, the multimodal recognition terminal synchronously reads the 3D topological data stored in the RFID chip, and uses a high-frame-rate camera to capture the real-time splicing angle to analyze the 3D spatial position and occlusion status of the component; S3: Based on the results of spatial pose analysis, the AR engine is triggered to dynamically render the detachable animation of the bracket structure. Ray tracing technology is used to generate high-precision holographic projections, visualizing the historical evolution of the mortise and tenon joints and their mechanical connection relationships in real time. S4: Loading multi-dimensional force field parameters into the virtual model, synchronously driving the piezoelectric ceramic modules inside the physical building to generate corresponding vibration waveforms, restoring the load transfer path of the ancient building through tactile feedback, and collecting structural deformation data; S5: Based on the cross-comparison of mechanical simulation data and historical structural databases, a structural stability assessment report including spatiotemporal analysis is generated. A three-dimensional optimization model including component replacement plans, weight adjustment strategies, and historical restoration suggestions is pushed to the user through a two-way feedback system.

3. The interactive building block method for digitalizing ancient buildings according to claim 2, characterized in that: The topology optimization algorithm in step S1 determines the wall thickness distribution and reinforcement topology structure of the building block unit through finite element iterative calculation, so that the load-bearing capacity of the single building block is ≥5kg, the weight error is controlled within the range of ±3g, and the mortise and tenon interface tolerance is ≤0.1mm.

4. The interactive building block method for digitalizing ancient buildings according to claim 2, characterized in that: The RFID chip in step S1 uses a near-field communication protocol with a read-write distance of 5-15 cm. The stored data includes the historical age of the component, material evolution map, and cultural allusion index fields. The data encryption level reaches the AES-256 standard and supports dynamic writing of construction error correction records.

5. The interactive building block method for digitalizing ancient buildings according to claim 2, characterized in that: The splicing angle analysis in step S2 includes a real-time error correction mechanism. When the mortise and tenon joint angle deviation is detected to exceed ±3°, a red warning box is superimposed through AR projection and a buzzer prompt is triggered. At the same time, a three-dimensional correction guidance animation including a deviation vector diagram is automatically generated.

6. The interactive building block method for digitalizing ancient buildings according to claim 2, characterized in that: The dynamic disassembly animation in step S3 uses LOD technology to dynamically adjust the model detail level, maintaining the number of model faces ≥ 500,000 within a viewing distance of 2 meters, a rendering frame rate ≥ 90fps, and supports real-time data synchronization and collision detection under multi-user collaborative perspectives.

7. The interactive building block method for digitalizing ancient buildings according to claim 2, characterized in that: The vibration waveform of the piezoelectric ceramic module in step S4 is linearly correlated with the virtual force field strength, with a vibration frequency range of 20-200 Hz, an acceleration peak of 1.5 g, a response delay of ≤10 ms, and a vibration direction consistent with the virtual force field vector direction.

8. The interactive building block method for digitalizing ancient buildings according to claim 2, characterized in that: The visualization of the historical evolution process in step S3 includes a step-by-step teaching guidance module, which automatically generates a score for the mortise and tenon joint sequence by comparing it with the historical construction database. When the score deviation rate is greater than 15%, the expert correction mode is activated, and the historical building specification library is called to generate a structural optimization plan that complies with the "Yingzaofashi".

9. The interactive building block method for digitalizing ancient buildings according to claim 2, characterized in that: The evaluation report calculation indicators in step S5 include: node displacement (detection accuracy 0.1mm), maximum stress value (calculation accuracy 0.1MPa), structural safety factor based on GB50153-2008 standard, historical structure matching degree (0-100 point system), and the seismic performance comparison data of similar ancient buildings are automatically associated when the report is generated.

10. The interactive building block method for digitalizing ancient buildings according to claim 2, characterized in that: The generation of the 3D optimization model in step S5 includes the following logic: when a safety factor of less than 1.5 is detected, a finite element solver is used to reversely deduce a replacement plan for dangerous components, the locations of nodes that need to be reinforced are highlighted in the AR interface, and a counterweight adjustment strategy based on the historical structural database is pushed. The strategy includes optimization suggestions for bracket arch shapes and material replacement plans for different dynasties.

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