Method for sensing and simulating surrounding landscape atmosphere of historic site and reconstructing historical authenticity

Abstract

The invention relates to the technical field of historic site restoration, and discloses a historic site surrounding landscape atmosphere perception simulation and historical authenticity reconstruction method, which comprises the following steps: (S1) carrying out site region multi-dimensional data acquisition and integration; (S2) analyzing historical authenticity factors and extracting value features; (S3) constructing a landscape atmosphere perception index system and quantifying factors; (S4) performing multi-period historical scene simulation and atmosphere perception modeling; and (S5) carrying out landscape atmosphere perception simulation analysis and authenticity verification. According to the historic site surrounding landscape atmosphere perception simulation and historical authenticity reconstruction method, multi-dimensional data acquisition and integration and historical element analysis are performed, the relevance between a site and surrounding natural, artificial and humanistic environments is systematically reconstructed, and the defect that only a single building is focused in the prior art is overcome; for example, oblique photography and ancient book map fusion are utilized to restore the spatial topological relation among the ruins, historical water systems and ceremony paths, and a complete environment system supporting historical functions is formed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of historical site restoration, in particular to a historical site surrounding landscape atmosphere perception simulation and historical authenticity reconstruction method. BACKGROUND

[0002] The historical site surrounding landscape refers to the environment system supported by the historical function, spatial ritual and cultural image of the site itself, including three dimensions: natural dimension: topography, water system, vegetation, climate and light; artificial dimension: roads, bridges, auxiliary buildings, fortifications, etc.; human dimension: folk activity path, sound scene characteristics, sight corridor, etc.; by quantifying the physiological and psychological reactions of people to light and shadow, material and scale of the environment, it is tested whether the reconstructed scene can trigger the resonance in line with the historical context.

[0003] According to the historical site three-dimensional restoration system and method mentioned in Chinese patent application No. 201811249222) 1, the historical site three-dimensional restoration system and method can solve the deviation of manual coordinate positioning in the prior art, but the historical site three-dimensional restoration system and method has the following disadvantages when in use: 1. Only focusing on the restoration of single building structure of the site, ignoring the key role of the surrounding environment as a historical space carrier; 2. Relies on visual geometric accuracy, without quantitative analysis of multi-sensory atmosphere experience of people in the environment (such as spatial compression and historical immersion); 3. Model reconstruction relies on contemporary data, lacks dynamic verification mechanism with historical evidence, and is easy to lead to "technically accurate but historically distorted; Therefore, it is necessary to propose a historical site surrounding landscape atmosphere perception simulation and historical authenticity reconstruction method to solve the above problems. SUMMARY

[0004] (I) Technical problems to be solved In view of the shortcomings of the prior art, the historical site surrounding landscape atmosphere perception simulation and historical authenticity reconstruction method is provided, which has the advantages of establishing a closed-loop system of landscape atmosphere perception quantification model and historical authenticity dynamic verification, and first realizes the conversion of human multi-dimensional environment perception data into accurate and scientific reconstruction of the surrounding landscape of the site.

[0005] (II) Technical scheme In order to achieve the above purpose, the present application provides the following technical scheme: a historical site surrounding landscape atmosphere perception simulation and historical authenticity reconstruction method, comprising the following steps: (S1) Site area multi-dimensional data collection and integration: Collect the target site ontology status data and its surrounding area geographic spatial data, historical and cultural data, present visual perception data and public emotional cognition data, and perform time and space alignment and fusion to establish a comprehensive database of the site and its surrounding environment; (S2) Historical authenticity element analysis and value feature extraction: Based on the comprehensive database, historical documents, archaeological data, ancient map image data, and the like, the appearance features and important historical events and cultural symbols of the site in a specific historical period are analyzed, and core historical authenticity elements and cultural value carrier forms are extracted; (S3) Construction of landscape atmosphere perception index system and factor quantization: Based on the historical authenticity elements, the present landscape features, and the spatial perception law of people to the environment, a multi-level site surrounding landscape atmosphere perception evaluation index system covering historical authenticity perception, spatial form perception, color and material perception, natural element perception, and human activity perception dimensions is constructed, and each perception factor is quantitatively modeled; (S4) Multi-period historical scene simulation and atmosphere perception modeling: According to the historical authenticity elements extracted in step (S2), combined with the quantified index system constructed in step (S3), the scene three-dimensional model and multi-dimensional landscape atmosphere representation of the target site in the selected historical period are simulated and reconstructed in the computer environment by using landscape simulation algorithms, spatial analysis algorithms, lighting and material rendering technologies; the multi-dimensional landscape atmosphere representation at least includes spatial layout, vegetation configuration, building style, topography, color keynote; (S5) Landscape atmosphere perception simulation analysis and authenticity verification: The historical scene and atmosphere representation simulated in step (S4) are imported into a virtual experience environment or a visual analysis platform, and the visual, psychological and emotional atmosphere perception of people in the historical scene is simulated and analyzed by using a perception evaluation model and a public participation feedback mechanism; meanwhile, the simulation results are compared, verified and iteratively optimized with historical research evidence and archaeological data, so as to ensure that the scene simulation has high historical authenticity and scientific credibility; (S6) Real perception experience guidance and historical style reconstruction guide output: Based on the verified simulation results of step (S5), the key landscape elements and their combination modes that affect the historical atmosphere perception of the site surrounding environment are analyzed and refined; accordingly, time and space information precise reconstruction guides, optimization design schemes or digital display systems are generated to guide the current site surrounding environment regulation, landscape improvement or display utilization practice, so as to guide the public to obtain a more historical and authentic environment perception and cultural experience.

[0006] Preferably, in step S1, the geographic space data includes but is not limited to high-resolution remote sensing images, three-dimensional models generated by photogrammetry, laser radar point cloud data, terrain elevation data, underground pipeline data; the historical and cultural data includes local chronicles, historical maps, archaeological reports, literature records, oral history data; the current visual perception data includes field photos, continuous street view pictures, spatial visual corridor analysis data; the public emotional cognitive data includes questionnaire survey, semantic difference analysis results, social media review sentiment analysis results.

[0007] Preferably, in step S3, the quantifiable modeling of each perception factor specifically includes: analyzing the color composition and material texture of the simulated scene using image processing technology; analyzing the spatial accessibility and line-of-sight permeability using spatial syntax; simulating the lighting conditions and sound propagation using environmental physics models; analyzing the emotional atmosphere and historical feature intensity prediction values conveyed by the scene images using artificial intelligence models.

[0008] Preferably, in step S4, the multi-dimensional landscape atmosphere representation further includes time dimension elements for displaying dynamic changes of landscape atmosphere in different time periods (such as morning and evening, four seasons) or different eras (such as the replacement period of previous and later dynasties).

[0009] Preferably, in step S4, the landscape simulation algorithm includes rule-based generation (such as generating vegetation scenes according to historical records of plant lists and spatial layout rules) and machine learning-based historical style generation algorithm (such as generating building appearances conforming to era characteristics based on ancient paintings or historical images).

[0010] Preferably, in step S5, the virtual experience environment includes but is not limited to virtual reality systems, augmented reality systems, mixed reality systems, or immersive surround projection systems; the public participation feedback mechanism includes real-time collection of users' line-of-sight tracking data, physiological response data, and subjective evaluation questionnaire data in the virtual experience environment.

[0011] Preferably, in step S6, the output form of the historical style reconstruction guide includes but is not limited to: illustrated design optimization suggestion instructions; spatial control range maps and element configuration requirement layers based on geographic information systems; interactive digital twin platforms; historical style information layers for superimposing on real scenes in augmented reality guide applications.

[0012] Preferably, in step S3: Add a cross-modal perception fusion engine: fuse visual perception factors (spatial form, color and texture), auditory perception factors (environmental sound restoration), and tactile perception factors (material roughness simulation) through a multi-head attention mechanism to generate a multi-dimensional perception joint representation vector P={ , , ..... , , }, wherein v, a, t correspond to visual, auditory, tactile quantitative values respectively.

[0013] (Three) beneficial effects Compared with the prior art, the application provides a historical authenticity reconstruction method for surrounding landscape atmosphere perception simulation of a historical site, which has the following beneficial effects: 1. The historical authenticity reconstruction method for surrounding landscape atmosphere perception simulation of a historical site overcomes the defects of the prior art which only focuses on single buildings by reconstructing the relevance of the site and the surrounding natural, artificial and cultural environment (such as terrain, vegetation, roads and soundscape) through multi-dimensional data collection and integration (combined with remote sensing images, three-dimensional models, historical documents, etc.) and historical element analysis, for example, the spatial topological relationship between the site and the historical water system and ritual path is restored by fusing oblique photography and ancient maps to form a complete environment system supporting historical functions.

[0014] 2. The historical authenticity reconstruction method for surrounding landscape atmosphere perception simulation of a historical site realizes the transition from "geometric reconstruction" to "sensory-emotional experience quantification" by quantitatively modeling based on a perception index system and multi-dimensional scene simulation: visual level: the space syntax analysis penetrates the visual line, combined with material rendering technology to simulate the light and shadow changes in the morning and evening of all seasons; auditory / tactile level: the cross-modal perception engine fuses factors such as soundscape restoration and material roughness to generate a joint representation vector P={v, a, t}; emotional level: an AI model predicts the intensity of the scene emotional atmosphere; and provides a data basis for verifying historical immersion.

[0015] 3. The historical authenticity reconstruction method for surrounding landscape atmosphere perception simulation of a historical site forms a core innovation through perception simulation and verification mechanism: the virtual experience environment collects user eye movement, physiological data and subjective feedback in real time; the perception data is compared with archaeological evidence (local records, ancient paintings) to iteratively optimize the model; and solves the pain point of "technically accurate but historically distorted". BRIEF DESCRIPTION OF DRAWINGS

[0016] Figure 1 The structure flowchart of the perception simulation and historical authenticity reconstruction method of the application. DETAILED DESCRIPTION

[0017] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, not all. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the application.

[0018] Please refer to Figure 1 , the method for simulating the surrounding landscape atmosphere perception of a historical site and reconstructing historical authenticity comprises the following steps: (S1) Multi-dimensional data acquisition and integration of the site area: Collecting the present situation data of the target historical site and the geographical spatial data, historical and cultural data, present situation visual perception data and public emotional perception data of the surrounding area, and performing time and space alignment and fusion to establish a comprehensive database of the present situation of the site and the surrounding environment; (S2) Analysis of historical authenticity elements and extraction of value characteristics: Based on the comprehensive database of the present situation and historical documents, archaeological data, ancient map data, and ancient image data, the appearance characteristics and important historical events and cultural symbols of the site in a specific historical period are analyzed, and the core historical authenticity elements and cultural value carriers are extracted; (S3) Construction of landscape atmosphere perception index system and factor quantization: Combining historical authenticity elements, present situation landscape characteristics, and human spatial perception rules of the environment, a multi-level landscape atmosphere perception evaluation index system of the surrounding environment of the historical site is constructed, which covers historical authenticity perception, spatial form perception, color and material perception, natural element perception, and human activity perception dimensions, and the perception factors are quantitatively modeled; (S4) Multi-period historical scene simulation and atmosphere perception modeling: According to the historical authenticity elements extracted in step (S2), combining the quantified index system constructed in step (S3), using landscape simulation algorithms, spatial analysis algorithms, lighting and material rendering technologies, the surrounding scene three-dimensional model and multi-dimensional landscape atmosphere representation of the target historical site in the selected historical period are simulated and reconstructed in the computer environment; the multi-dimensional landscape atmosphere representation at least includes spatial layout, vegetation configuration, building style, topography, color keynote; (S5) Simulation analysis of landscape atmosphere perception and authenticity verification: The historical scene and atmosphere representation simulated in step (S4) are imported into a virtual experience environment or a visualization analysis platform, and the perception evaluation model and public participation feedback mechanism are used to simulate and analyze the visual, psychological and emotional atmosphere perception of people in the historical scene; at the same time, the simulation results are compared, verified and iteratively optimized with historical research evidence and archaeological data to ensure that the scene simulation has high historical authenticity and scientific credibility; (S6) Real perception experience guidance and historical style reconstruction guide output: Based on the verified simulation results of step (S5), the key landscape elements and their combination modes that affect the historical atmosphere perception of the surrounding environment of the historical site are analyzed and refined; accordingly, time and space information precise reconstruction guidelines, optimization design schemes or digital display systems are generated to guide the current site surrounding environment improvement, landscape enhancement or display utilization practice, so as to guide the public to obtain a more historical and authentic environment perception and cultural experience.

[0019] Embodiment: Taking the surrounding area of Danfeng Gate in the site of Daming Palace in Xi'an as the application object.

[0020] (I) Equipment configuration: unmanned aerial photography system (DJI M300RTK); mobile laser scanner (Leica BLK360); VR experience equipment (HTC Vive Pro Eye eye movement tracking kit); high-performance graphics workstation (NVIDIA Quadro RTX8000).

[0021] (II) Step implementation: (1) Multidimensional data acquisition and integration of the site area: 1. Geospatial data acquisition: obtain a 0.05m resolution 3D real scene model using unmanned aerial photography, extract the original ground elevation of the Tang Dynasty (1.2-1.8m below the present ground surface) from LiDAR point clouds; integrate modern topographic maps and the Qing Dynasty "Tang Daming Palace Map" ancient map to establish a space-time reference conversion model (WGS84 coordinate system).

[0022] 2. Integration of historical and cultural data: analyze the "Danfeng Gate-Hanyuan Hall" 500m imperial road axis and the procession process recorded in "New Records of Two Capitals"; extract the red gate tower color drawing value (RGB 195, 40, 40) from the Tang Dynasty murals "Gate Tower Picture".

[0023] 3. Current perception data acquisition: street view collection vehicle obtains visual corridor data of main roads and identifies interference sources such as billboards; SD questionnaire survey shows that tourists' "historical solemnity" score is only 2.8 / 5.

[0024] (2) Analysis of historical authenticity elements: extract core elements: spatial carrier: 44.1m wide imperial road axis (converted according to the Tang Dynasty Construction Order); cultural symbols: chui tail beast kiss components, array of sophora japonica ( "Sophora Japonica Alley" in "Xijing Zaji"); establish element association: superimpose the imperial road axis coordinates and the existing rammed earth site space (error <0.5m).

[0025] (3) Construction and quantification of perception index system: 1. Multidimensional perception modeling: historical authenticity perception convolutional neural network simulates the similarity between the scene and the style of Tang Dynasty murals (output value 0.87); spatial form perception spatial syntax analysis of imperial road axis integration (DepthMap calculation value >7.5); cross-modal fusion multi-head attention engine generates joint representation vector P={v:0.92, a:0.85, t:0.78}.

[0026] 2. Dynamic environment simulation: use Enscape rendering engine to simulate low-angle light on the autumn equinox at 11am (morning ceremony time).

[0027] (4) Multi-period scene simulation: Kaiyuan Prosperity (713 AD) scene generation: rule-based generation: generate an array with a spacing of 4.5 ± 0.3 m according to the Tang Dynasty Sophora japonica planting specifications; ML-generated buildings: train a GAN network based on the "Danfengmen Shichao Tu" to output the door tower bracket texture.

[0028] (5) Perception verification and iterative optimization: 1. Virtual experience feedback: 50 subjects experienced the reconstructed scene in the CAVE system, real-time monitoring: physiological data: pupil dilation rate increased by 35% when entering the imperial road area; subjective score: solemnity increased to 4.3 / 5.

[0029] 2. Historical evidence verification: compare the simulated gate tower base size with the archaeological exploration data (error <3%), adjust the bracket proportion.

[0030] (6) Reconstruction guideline output: 1. Key element extraction: determine the imperial road width, Sophora japonica array, and red gate tower as the core combination (atmosphere contribution weight 0.62).

[0031] 2. AR guide system development: build a mobile application based on the Unity engine: when the user is positioned at the modern imperial road coordinates, automatically superimpose the Tang Dynasty ceremonial procession queue AR virtual image; GIS control layer limits the height of newly built structures.

[0032] In summary, the ancient site surrounding landscape atmosphere perception simulation and historical authenticity reconstruction method, with multi-dimensional data collection and integration (combined with remote sensing images, three-dimensional models, historical documents, etc.) and historical element analysis, systematically reconstructs the relevance of the site and the surrounding natural, artificial, and cultural environment (such as terrain, vegetation, roads, soundscape), overcoming the shortcomings of existing technologies that only focus on single buildings; for example: using tilt photography and ancient map fusion to restore the spatial topological relationship of the site and historical water systems, ritual paths, forming a complete environmental system that supports historical functions.

[0033] Furthermore, through quantitative modeling based on a perception index system and multi-dimensional scene simulation: visual level: analyze the visual permeability through space syntax, combined with material rendering technology to simulate the light and shadow changes in morning and evening of all seasons; auditory / tactile level: cross-modal perception engine integrates sound restoration, material roughness, etc. to generate a joint representation vector P={v, a, t}; emotional level: AI model predicts the intensity of the scene emotional atmosphere; realize the transition from "geometric reconstruction" to "sensory-emotional experience quantification", providing a data basis for verifying historical immersion.

[0034] In addition, the core innovation is formed through perception simulation and verification mechanism: the virtual experience environment collects user eye movement, physiological data, and subjective feedback in real time; compare the perception data with archaeological evidence (local chronicles, ancient paintings) to iteratively optimize the model; solve the "technically accurate but historically distorted" pain point.

[0035] It has to be noted that, in the present document, the terms "first", "second", etc. merely serve to identify a subject or action, without necessarily requiring or implying any actual such relationship or order between such subjects or actions. Moreover, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises... a" does not, without more constraints, exclude the presence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0036] While embodiments of the application have been shown and described, it is to be understood that the application is not limited to the details of the embodiments described, since numerous further modifications and changes can be apparent to one skilled in the art without departing from the spirit and scope of the application as defined by the appended claims and their equivalents.

Claims

1. A method for reconstructing the historical authenticity of a historical site and simulating the perception of the atmosphere of the surrounding landscape, characterized by, Comprise the following steps: (S1) Multidimensional data collection and integration of the site area: Collect the target site ontology status data and its surrounding area geographic spatial data, historical and cultural data, present situation visual perception data and public emotional cognition data, and carry out time and space alignment and fusion, establish the present situation comprehensive database of the site and the surrounding environment; (S2) Historical authenticity element analysis and value feature extraction: Based on the present situation comprehensive database and historical documents, archaeological data, ancient map image data, analyze the landscape features and important historical events, cultural symbols of the site in a certain historical period, and extract the core historical authenticity elements and cultural value carrier form; (S3) Construction of landscape atmosphere perception index system and factor quantization: Combined with historical authenticity elements, present situation landscape features and human spatial perception law of environment, a multi-level site surrounding landscape atmosphere perception evaluation index system covering historical authenticity perception, spatial form perception, color material perception, natural element perception and human activity perception dimensions is constructed, and each perception factor is quantifiable modeling; (S4) Multi-period historical scene simulation and atmosphere perception modeling: According to the historical authenticity elements extracted in step (S2), combined with the quantization index system constructed in step (S3), using landscape simulation algorithm, spatial analysis algorithm, light and material rendering technology, the surrounding scene three-dimensional model and multi-dimensional landscape atmosphere representation of the target site in the selected historical period are simulated and reconstructed in computer environment; The multi-dimensional landscape atmosphere representation includes at least space layout, vegetation configuration, building style, topography, color keynote; (S5) Landscape atmosphere perception simulation analysis and authenticity verification: The historical scene and atmosphere representation simulated in step (S4) are imported into the virtual experience environment or visualization analysis platform, and the perception evaluation model and public participation feedback mechanism are used to simulate and analyze the visual, psychological and emotional atmosphere perception of people in the historical scene; At the same time, the simulation results are compared, checked and iteratively optimized with historical research evidence and archaeological data, to ensure that the scene simulation has high historical authenticity and scientific credibility; (S6) Real perception experience guidance and historical style reconstruction guide output: Based on the verified simulation results of step (S5), analyze and extract the key landscape elements and their combination modes that affect the historical atmosphere perception of the site surrounding area; According to this, generate time and space information precise reconstruction guide, optimization design scheme or digital display system to guide the current site surrounding environment regulation, landscape improvement or display utilization practice, so as to guide the public to obtain more close to historical real environment perception and cultural experience.

2. The method according to claim 1, wherein, In step S1, the geographic space data includes but is not limited to high-resolution remote sensing images, three-dimensional models generated by oblique photogrammetry, laser radar point cloud data, terrain elevation data, underground pipeline data; the historical and cultural data includes local chronicles, historical maps, archaeological reports, documentary records, oral history data; the present visual perception data includes field photos, continuous street view pictures, spatial visual corridor analysis data; the public emotional cognitive data includes questionnaire survey, semantic difference analysis result, social media comment sentiment analysis result.

3. The method according to claim 1 or 2, wherein, In step S3, the quantifiable modeling of each perception factor specifically includes: using image processing technology to analyze the color composition and material texture of the simulated scene; using space syntax to analyze spatial accessibility and visual permeability; using environmental physics model to simulate lighting conditions and sound propagation; using artificial intelligence model to analyze the emotional atmosphere and historical feature intensity prediction value conveyed by the scene image.

4. The method according to claim 1, wherein, In step S4, the multi-dimensional landscape atmosphere representation also includes time dimension elements for showing dynamic changes of landscape atmosphere in different time periods (such as morning and evening, four seasons) or different eras (such as the replacement period of previous and later dynasties).

5. The method according to claim 1, wherein, In step S4, the landscape simulation algorithm includes rule-based generation (such as generating vegetation scenes according to historical records of plant lists and spatial layout rules) and machine learning-based historical style generation algorithm (such as generating building appearances conforming to the characteristics of the era based on ancient paintings or historical images).

6. The method according to claim 1, wherein, In step S5, the virtual experience environment includes but is not limited to virtual reality systems, augmented reality systems, mixed reality systems or immersive ring screen projection systems; the public participation feedback mechanism includes real-time collection of users' eye tracking data, physiological response data and subjective evaluation questionnaire data in the virtual experience environment.

7. The method according to claim 1, wherein the method is characterized by, In step S6, the output form of the historical style reconstruction guide includes but is not limited to: illustrated design optimization suggestion instruction; space control range map and element configuration requirement layer based on geographic information system; interactive digital twin platform; historical style information layer for superimposing real scene in augmented reality guide application.

8. The method according to claim 1, wherein, In step S3, Add cross-modal perception fusion engine: the visual perception factor (spatial form, color material), the auditory perception factor (environmental sound scene restoration), and the tactile perception factor (material roughness simulation) are fused through a multi-head attention mechanism to generate a multi-dimensional perception joint representation vector P={ , , ..... , , } where v, a, t correspond to the visual, auditory, and tactile quantitative values respectively.

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