Virtual digital cultural relic and audience interaction method and system
Through gesture capture and speech recognition technology, users' inputs are monitored in real time and high-quality rendered virtual scenes are retrieved, which solves the problem of insufficient interaction methods and rendering quality in the existing technology, and realizes high-quality virtual digital cultural relics display and interactive experience.
Patent Information
- Application Number
- CN202510259324.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-03-06
- Publication Date
- 2025-04-04
- Estimated Expiration
- 2045-03-06
AI Technical Summary
The existing virtual digital cultural relics display technology still needs to be improved in terms of interaction mode, rendering quality and user experience, and it is difficult to provide deep interaction and immersion, and the user experience is limited by traditional input devices.
Through gesture capture devices and voice acquisition devices, monitor the user's gestures and voice input in real time, obtain the target cultural relics information currently required by the user, and retrieve the virtual scene that has been rendered based on this information, perform rendering quality detection and synthesis display.
It realizes that the audience interacts with virtual digital cultural relics in a more natural and intuitive way, improves participation and experience quality, provides high-quality rendering and visual display, and reduces the difficulty and cost of cultural relics protection.
Smart Images

Figure CN119759215A_ABST
Abstract
Description
Technical Field
[0001] The invention proposes a method and system for interaction between virtual digital cultural relics and audiences, belonging to the technical field of virtual digital interaction. Background Art
[0002] With the rapid development of information technology and the widespread application of digital technology, the protection and inheritance of cultural heritage has entered a new digital era. Traditionally, the display and appreciation of cultural relics are limited by physical space and time, making it difficult for the general public to access precious cultural relics anytime and anywhere. In order to overcome this limitation, virtual digital cultural relic technology has emerged. It transforms physical cultural relics into virtual objects that can be displayed and interacted in digital space through high-precision scanning, modeling and rendering technology. However, most of the existing virtual digital cultural relic display methods remain at the level of static display or simple click interaction, lacking deep interactivity and immersion, and it is difficult to fully stimulate the interest and participation of the audience. In addition, although existing technologies can achieve a certain degree of interaction, they often rely on traditional input devices such as mouse and keyboard. These methods have certain limitations in user experience, especially for audiences who want to interact with cultural relics in a more natural and intuitive way. In addition, the rendering quality of virtual scenes is crucial to providing a high-quality interactive experience. Different cultural relics have different requirements for rendering technology due to factors such as their materials, textures, and lighting conditions. Therefore, how to quickly retrieve and display high-quality rendered virtual scenes based on the characteristics of the target cultural relics while ensuring the efficiency and stability of the rendering process is another problem that needs to be solved.
[0003] Since the existing virtual digital cultural relics display technology still needs to be improved in terms of interaction mode, rendering quality and user experience, it is of great significance to develop a virtual digital cultural relics interaction method that can combine gesture capture and voice recognition technology, monitor user input in real time, and quickly retrieve and display high-quality rendering according to user needs, in order to promote the digital protection and inheritance of cultural heritage and enhance the audience's participation and experience quality. Summary of the invention
[0004] The present invention provides a method and system for interaction between virtual digital cultural relics and audiences, which is used to solve the technical problems existing in the above-mentioned prior art. The collected technical solutions are as follows: A method for interaction between a virtual digital cultural relic and an audience, the method comprising: The gesture capture device and the voice collection device monitor the user's gestures and voice input in real time, and obtain the target cultural relic information currently required by the user through the user's gestures and voice input; Retrieving a rendered virtual scene corresponding to the target cultural relic information according to the target cultural relic information required by the user, and performing a rendering quality test on the rendered virtual scene; When the rendered virtual scene meets the rendering instruction requirements, the cultural relic data corresponding to the target cultural relic information and the rendered virtual scene are used to synthesize a virtual scene with the cultural relic data, and the virtual scene is visualized.
[0005] Furthermore, the user's gestures and voice input are monitored in real time through the gesture capture device and the voice collection device, and the target cultural relic information currently required by the user is obtained through the user's gestures and voice input, including: Initializing the gesture capturing device and the voice collecting device; The user's hand movements are captured by using the accelerometer and gyroscope set inside the gesture capture device; The data processing unit provided inside the gesture capture device uses a predefined gesture recognition algorithm to perform gesture recognition on the captured hand movements of the user to determine the sliding position of the user's hand; Acquiring cultural relic information corresponding to the hand sliding position according to the hand sliding position of the user, and using the cultural relic information corresponding to the hand sliding position as first cultural relic data information; Collect the user's voice command information in real time through the voice collection device; Converting the user's voice command information into a voice digital signal, and performing noise filtering and sound enhancement processing on the voice digital signal corresponding to the voice command information to obtain a processed voice digital signal; Converting the voice digital signal into text data, and performing text recognition on the text data to obtain the second cultural relic data information currently required by the user; Target cultural relic information is determined from the first cultural relic data information and the second cultural relic data information.
[0006] Further, determining target cultural relic information from the first cultural relic data information and the second cultural relic data information includes: When the cultural relic information included in the first cultural relic data information and the second cultural relic data information is the same, the cultural relic information jointly determined by the first cultural relic data information and the second cultural relic data information is used as the target cultural relic information; When the cultural relic information included in the first cultural relic data information and the second cultural relic data information is different, the target cultural relic information is determined according to the generation time corresponding to the first cultural relic data information and the second cultural relic data information.
[0007] Further, when the cultural relic information included in the first cultural relic data information and the second cultural relic data information is different, determining the target cultural relic information according to the generation time corresponding to the first cultural relic data information and the second cultural relic data information includes: Extracting the generation time of the first cultural relic data information; Extracting the start acquisition time of the hand movement corresponding to the first cultural relic data information; Retrieving virtual scene data and cultural relic background data corresponding to the first cultural relic data information; Extracting the generation time of the second cultural relic data information; Extracting the start collection time of the voice command information corresponding to the second cultural relic data information; Retrieving virtual scene data and cultural relic background data corresponding to the second cultural relic data information; Obtaining a generation time index coefficient corresponding to the first cultural relic data information by using the generation time of the first cultural relic data information and the start collection time of the hand movement corresponding to the first cultural relic data information; The generation time index coefficient corresponding to the first cultural relic data information is obtained by the following formula: in, S 01 represents the generation time index coefficient corresponding to the first cultural relic data information; I 01 Indicates the intensity of the operation intention corresponding to the first cultural relic data information; C 01 Indicates the complexity of the cultural relic data corresponding to the first cultural relic data information; t q01 Indicates the start time of collecting the hand action corresponding to the first cultural relic data information; t s01 Indicates the time when the first cultural relic data information is generated; I 01 Indicates the intensity of the operation intention corresponding to the first cultural relic data information; The operation intention intensity corresponding to the first cultural relic data information is obtained by the following formula: in, C 01 Indicates the complexity of the cultural relic data corresponding to the first cultural relic data information; w 01 and w 02 Indicates a first weight coefficient and a second weight coefficient corresponding to the first cultural relic data information; F 01Indicates the data volume of the virtual scene data corresponding to the first cultural relic data information; F c Indicates the preset data volume reference value; T 01 Indicates the duration of the virtual scene video of the virtual scene data corresponding to the first cultural relic data information; T c Indicates the preset duration reference value; M 01 Indicates the number of pictures included in the cultural relic background data corresponding to the first cultural relic data information; M c Indicates the preset reference value of the number of pictures; Furthermore, the operation intention intensity corresponding to the first cultural relic data information is obtained by the following formula: in, I 01 Indicates the intensity of the operation intention corresponding to the first cultural relic data information; w 03 , w 04 and w 05 respectively represent the third weight coefficient, the fourth weight coefficient and the fifth weight coefficient corresponding to the first cultural relic data information; f 01 Indicates the frequency of access to the first cultural relic data information by the user; D 01 Indicates the browsing time of the user for the first cultural relic data information; R 01 Indicates the ratio of the number of times the user repeatedly selects the first cultural relic data information to the total number of times the user selects all cultural relics; f x represents the overall access frequency of the first cultural relic data information; D x Indicates the total browsing time of the first cultural relic data information; R x Indicates the proportion of the first cultural relic data information being repeatedly selected by the same user; Obtaining a generation time index coefficient corresponding to the second cultural relic data information by using the generation time of the second cultural relic data information and the start collection time of the hand movement corresponding to the second cultural relic data information; The generation time index coefficient corresponding to the second cultural relic data information is obtained by the following formula: in, S 02represents the generation time index coefficient corresponding to the second cultural relic data information; I 02 Indicates the intensity of the operation intention corresponding to the second cultural relic data information; C 02 Indicates the complexity of the cultural relic data corresponding to the second cultural relic data information; t q02 Indicates the start time of collecting the voice command information corresponding to the second cultural relic data information; t s02 Indicates the time when the second cultural relic data information is generated; I 02 Indicates the intensity of the operation intention corresponding to the second cultural relic data information; The operation intention intensity corresponding to the second cultural relic data information is obtained by the following formula: in, C 02 Indicates the complexity of the cultural relic data corresponding to the first cultural relic data information; k 01 and k 02 Indicates a first weight coefficient and a second weight coefficient corresponding to the second cultural relic data information; F 02 Indicates the data volume of the virtual scene data corresponding to the second cultural relic data information; F c Indicates the preset data volume reference value; T 02 Indicates the duration of the virtual scene video of the virtual scene data corresponding to the second cultural relic data information; T c Indicates the preset duration reference value; M 02 Indicates the number of pictures included in the cultural relic background data corresponding to the second cultural relic data information; M c Indicates the preset reference value of the number of pictures; Furthermore, the operation intention intensity corresponding to the second cultural relic data information is obtained by the following formula: in, I 02 Indicates the intensity of the operation intention corresponding to the second cultural relic data information; k 03 , k 04 and k 05 respectively represent the third weight coefficient, the fourth weight coefficient and the fifth weight coefficient corresponding to the second cultural relic data information;f 02 Indicates the frequency of access to the second cultural relic data information by the user; D 02 Indicates the browsing time of the second cultural relic data information by the user; R 02 Indicates the ratio of the number of times the user repeatedly selects the second cultural relic data information to the total number of times the user selects all cultural relics; f x represents the overall access frequency of the second cultural relic data information; D x Indicates the total browsing time of the second cultural relic data information; R x Indicates the proportion of the second cultural relic data information being repeatedly selected by the same user; Compare the generation time index coefficient corresponding to the first cultural relic data information with the generation time index coefficient corresponding to the second cultural relic data information to obtain a comparison result; The target cultural relic information is determined based on a comparison result between a generation time index coefficient corresponding to the first cultural relic data information and a generation time index coefficient corresponding to the second cultural relic data information.
[0008] Further, determining the target cultural relic information according to a comparison result between a generation time index coefficient corresponding to the first cultural relic data information and a generation time index coefficient corresponding to the second cultural relic data information includes: Compare the generation time corresponding to the first cultural relic data information with the generation time corresponding to the second cultural relic data information to obtain a generation time difference; Comparing the generated time difference with a preset time difference threshold; When the generation time difference exceeds a preset time difference threshold, extracting a comparison result between the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information; Compare a coefficient difference corresponding to a comparison result between a generation time index coefficient corresponding to the first cultural relic data information and a generation time index coefficient corresponding to the second cultural relic data information with a preset coefficient difference threshold; When the coefficient difference between the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information is less than a preset coefficient difference threshold, the cultural relic data information with the later generation time between the generation time corresponding to the first cultural relic data information and the generation time corresponding to the second cultural relic data information is determined as the target cultural relic information; When the coefficient difference between the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information is not less than a preset coefficient difference threshold, the cultural relic data information corresponding to the maximum value of the coefficients of the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information is determined as the target cultural relic information; When the generation time difference does not exceed the preset time difference threshold, the cultural relic data information corresponding to the minimum value of the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information is determined as the target cultural relic information.
[0009] Furthermore, according to the target cultural relic information required by the user, a virtual scene corresponding to the target cultural relic information that has been rendered is retrieved, and a rendering quality detection is performed on the virtual scene that has been rendered, including: According to the target cultural relic information required by the user, a virtual scene corresponding to the target cultural relic information and having been rendered is retrieved; Retrieving scene parameters of the rendered virtual scene; wherein the scene parameters include frame rate, dynamic range value and resolution; Obtaining a rendering quality evaluation coefficient corresponding to the rendered virtual scene using the scene parameters of the rendered virtual scene; Comparing the rendering quality evaluation coefficient corresponding to the rendered virtual scene with a preset evaluation coefficient threshold; When the rendering quality evaluation coefficient corresponding to the virtual scene that has been rendered is lower than a preset evaluation coefficient threshold, re-rendering is performed.
[0010] Furthermore, obtaining a rendering quality evaluation coefficient corresponding to the rendered virtual scene using the scene parameters of the rendered virtual scene includes: Retrieving the resolution included in the scene parameters; comparing the resolution with a preset resolution threshold; When the resolution is lower than a preset resolution threshold, a rendering quality evaluation coefficient is obtained using the frame rate and dynamic range included in the scene parameters; The rendering quality evaluation coefficient is obtained by the following formula: in, Q Represents the rendering quality evaluation coefficient; G Indicates the frame rate; K Indicates dynamic range; α , β and cRespectively represent the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient, and the value ranges of the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient are: 0.50-2.00, 1.21-1.82 and 0.34-0.63; When the resolution is not lower than a preset resolution threshold, a rendering quality evaluation coefficient is obtained using the frame rate, dynamic range and resolution included in the scene parameters; The rendering quality evaluation coefficient is obtained by the following formula: in, Q Represents the rendering quality evaluation coefficient; G Indicates the frame rate; K Indicates dynamic range; Y Indicates resolution; Y 0 indicates the preset resolution threshold; Y max Indicates the desired resolution; i and d They represent the first adjustment factor and the second adjustment factor respectively, and the value ranges of the first adjustment factor and the second adjustment factor are 0.48-0.73 and 0.17-0.42 respectively.
[0011] Furthermore, when the rendered virtual scene meets the rendering instruction requirements, the virtual scene with the cultural relic data is synthesized using the cultural relic data corresponding to the target cultural relic information and the rendered virtual scene, and a visual display is performed, including: When the rendered virtual scene meets the rendering instruction requirements, the cultural relic data corresponding to the target cultural relic information is retrieved from the database; Merging the cultural relic data corresponding to the target cultural relic information with the rendered virtual scene corresponding to the target cultural relic information to generate a virtual scene with the cultural relic data; The virtual scene is visualized and displayed.
[0012] Furthermore, the cultural relic data corresponding to the target cultural relic information is merged with the rendered virtual scene corresponding to the target cultural relic information to generate a virtual scene with the cultural relic data, including: Converting the cultural relic data corresponding to the target cultural relic information into a data format that matches the rendered virtual scene corresponding to the target cultural relic information; Defining an anchor point in the rendered virtual scene corresponding to the target cultural relic information; The cultural relic data corresponding to the target cultural relic information is mapped to an anchor point corresponding to the rendered virtual scene corresponding to the target cultural relic information.
[0013] Furthermore, the method for interaction between the virtual digital cultural relics and the audience also includes: Receive user scan code information in real time, enter the timeline corresponding to the scan code information according to the user scan code information, and display the cultural relics and historical periods corresponding to the timeline and related historical events and cultural stories; Receive user scan code information in real time, enter the cultural story corresponding to the scan code information according to the user scan code information, and automatically tell the cultural story; Receive user scan code information in real time, enter the expert lecture live broadcast platform corresponding to the scan code information according to the user scan code information, and broadcast expert online lectures or seminars online; A cultural relics interactive platform is set up for users to interact and ask questions on the cultural relics interactive platform.
[0014] A virtual digital cultural relic and audience interaction system, the virtual digital cultural relic and audience interaction system comprising: The target cultural relic information acquisition module is used to monitor the user's gestures and voice input in real time through the gesture capture device and the voice collection device, and obtain the target cultural relic information currently required by the user through the user's gestures and voice input; A virtual scene quality detection module is used to retrieve a virtual scene that has been rendered and corresponds to the target cultural relic information required by the user, and perform a rendering quality detection on the virtual scene that has been rendered; The virtual scene visualization display module is used to synthesize a virtual scene with cultural relic data using the cultural relic data corresponding to the target cultural relic information and the virtual scene that has been rendered, and to perform visualization display when the rendered virtual scene meets the rendering instruction requirements.
[0015] Beneficial effects of the present invention: The method and system for interacting with virtual digital cultural relics and audiences provided by the present invention enable audiences to interact with virtual digital cultural relics in a more natural and intuitive way through gesture capture and voice recognition technology, thereby greatly improving audience participation and experience quality. High-quality rendering technology and visual display enable audiences to appreciate cultural relics in an immersive way, enhancing the audience's sense of immersion and substitution. Virtual digital cultural relic technology can provide audiences with rich cultural relic information and viewing experience without destroying physical cultural relics, thereby reducing the difficulty and cost of cultural relic protection. This technical solution can be applied to cultural venues such as museums and libraries, as well as education, tourism and other fields, providing broader channels and possibilities for the protection and dissemination of cultural heritage. BRIEF DESCRIPTION OF THE DRAWINGS
[0016] Figure 1 is a flow chart of the method of the present invention; Figure 2The system block diagram of the system of the present invention. DETAILED DESCRIPTION
[0017] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.
[0018] The embodiment of the present invention proposes a method for interacting with a virtual digital cultural relic and an audience, such as Figure 1 As shown, the method for interacting the virtual digital cultural relics with the audience includes: S1. Monitor the user's gestures and voice input in real time through a gesture capture device and a voice collection device, and obtain the target cultural relic information currently required by the user through the user's gestures and voice input; wherein the gesture capture device includes but is not limited to a VR handle or a glove, etc.; the voice collection device includes but is not limited to a microphone, etc.; S2, according to the target cultural relic information required by the user, calling the virtual scene corresponding to the target cultural relic information that has been rendered, and performing a rendering quality test on the virtual scene that has been rendered; S3. When the rendered virtual scene meets the rendering instruction requirements, the cultural relic data corresponding to the target cultural relic information and the rendered virtual scene are used to synthesize a virtual scene with the cultural relic data, and perform visual display.
[0019] The working principle of the above technical solution is as follows: gesture capture devices (such as VR handles, gloves, etc.) capture the user's hand movements in real time through built-in sensors and convert these movements into digital signals. Voice acquisition devices (such as microphones) are responsible for capturing the user's voice input and converting it into text or instructions through voice recognition technology. The system analyzes the user's intention based on the captured gestures and recognized voice content to determine the target cultural relic information currently required by the user. Once the target cultural relic information is determined, the system will retrieve the completed rendered virtual scene corresponding to the cultural relic from the database. Before display, the system will perform rendering quality detection on these virtual scenes to ensure that they meet the requirements of the rendering instructions, including scene details, light and shadow effects, color restoration and other aspects. If the rendering quality of the virtual scene does not meet the requirements, the system may perform necessary optimization or re-rendering to ensure the high quality of the final display effect. When the rendering quality of the virtual scene meets the requirements, the system will synthesize the cultural relic data corresponding to the target cultural relic information with the completed rendered virtual scene. The synthesized virtual scene will contain rich cultural relic information, such as the shape, texture, color, etc. of the cultural relic, as well as the historical background and production process related to it. Finally, the system presents the synthesized virtual scene to the audience through visualization technology (such as virtual reality headsets, large-screen displays, etc.), allowing the audience to appreciate and understand the cultural relics in an immersive way.
[0020] The effect of the above technical solution is: through gesture capture and voice recognition technology, the audience can interact with virtual digital cultural relics in a more natural and intuitive way, thereby greatly improving the audience's participation and experience quality. High-quality rendering technology and visual display allow the audience to appreciate the cultural relics in an immersive way, enhancing the audience's immersion and sense of substitution. Virtual digital cultural relic technology can provide the audience with rich cultural relic information and viewing experience without destroying the physical cultural relics, thereby reducing the difficulty and cost of cultural relic protection. This technical solution can be applied to cultural venues such as museums and libraries, as well as education, tourism and other fields, providing broader channels and possibilities for the protection and dissemination of cultural heritage.
[0021] In summary, this technical solution achieves in-depth interaction and high-quality display between virtual digital cultural relics and audiences by combining advanced technologies such as gesture capture, voice recognition, and rendering quality detection, providing strong support for the digital protection and inheritance of cultural heritage.
[0022] In one embodiment of the present invention, a gesture capture device and a voice collection device are used to monitor a user's gesture and voice input in real time, and target cultural relic information currently required by the user is obtained through the user's gesture and voice input, including: S101, initializing the gesture capturing device and the voice collecting device; S102, capturing the user's hand movements by using an accelerometer and a gyroscope provided inside the gesture capture device; S103, using a predefined gesture recognition algorithm to perform gesture recognition on the captured hand movements of the user by a data processing unit provided inside the gesture capture device, and determining the sliding position of the user's hand; wherein the gesture recognition algorithm includes but is not limited to a traditional gesture recognition algorithm, such as a decision tree, a support vector machine, a K-nearest neighbor, a random forest, and a hidden Markov model, and a gesture recognition algorithm based on deep learning, such as a convolutional neural network, a recursive neural network, a long short-term memory network, and a 3D convolutional neural network, etc.; S104, acquiring cultural relic information corresponding to the hand sliding position according to the hand sliding position of the user, and using the cultural relic information corresponding to the hand sliding position as first cultural relic data information; S105, collecting the user's voice command information in real time through a voice collection device; S106, converting the user's voice command information into a voice digital signal, and performing noise filtering and sound enhancement processing on the voice digital signal corresponding to the voice command information to obtain a processed voice digital signal; S107, converting the voice digital signal into text data, and performing text recognition on the text data to obtain the second cultural relic data information currently required by the user; S108: Determine target cultural relic information from the first cultural relic data information and the second cultural relic data information.
[0023] The working principle of the above technical solution is as follows: the gesture capture device and the voice collection device are initialized and set to ensure that the devices are in normal working state and can accurately capture and collect the user's gestures and voice inputs. The user's hand movements, including hand movement and rotation, are captured in real time by using sensors such as accelerometers and gyroscopes inside the gesture capture device. The captured hand movements are recognized by using a predefined gesture recognition algorithm (including traditional algorithms and algorithms based on deep learning) through a data processing unit inside the gesture capture device. The user's hand sliding position is determined, that is, the position indicated by the user in the virtual space through gestures. According to the user's hand sliding position, the cultural relic information corresponding to the position is retrieved from the database. The retrieved cultural relic information is used as the first cultural relic data information. The user's voice command information is collected in real time through the voice collection device. The collected voice command information is converted into a voice digital signal. The voice digital signal is subjected to noise filtering and sound enhancement processing to improve the accuracy of voice recognition. The processed voice digital signal is converted into text data. Text recognition is performed on the text data to parse out the cultural relic information currently required by the user. The parsed cultural relic information is used as the second cultural relic data information. The first cultural relic data information and the second cultural relic data information are integrated to determine the target cultural relic information currently required by the user.
[0024] The effect of the above technical solution is: by combining gesture capture and voice recognition technology, the user's input intention can be captured more accurately, and the accuracy and reliability of the interaction can be improved. Users can interact with virtual cultural relics through more natural and intuitive gestures and voice, which enhances the user's sense of participation and immersion. Through the dual input methods of gestures and voice, users can locate the required cultural relic information more quickly, improving the efficiency of information retrieval. This technical solution supports a variety of gesture recognition algorithms and voice recognition algorithms, and can be flexibly configured and optimized according to different application scenarios and user needs. This technical solution provides strong technical support for the digital display and interaction of cultural heritage, and helps promote the protection and inheritance of cultural heritage.
[0025] In summary, this technical solution, by combining gesture capture and voice recognition technology, enables natural and intuitive interaction between users and virtual cultural relics, improves the accuracy of interaction and user experience, and promotes the development of digital display and interactive technology of cultural heritage.
[0026] In one embodiment of the present invention, determining target cultural relic information from the first cultural relic data information and the second cultural relic data information includes: S1081: When the cultural relic information included in the first cultural relic data information and the second cultural relic data information are the same, the cultural relic information jointly determined by the first cultural relic data information and the second cultural relic data information is used as the target cultural relic information; S1082: When the cultural relic information included in the first cultural relic data information and the second cultural relic data information are different, determining target cultural relic information according to the generation times corresponding to the first cultural relic data information and the second cultural relic data information.
[0027] The working principle of the above technical solution is: when the cultural relic information contained in the first cultural relic data information and the second cultural relic data information is the same, the system believes that both types of information accurately reflect the target cultural relic information required by the user. In this case, the system uses the cultural relic information jointly determined by the first cultural relic data information and the second cultural relic data information as the target cultural relic information. This means that if both input methods (gesture and voice) point to the same cultural relic information, the system regards the information as the final target cultural relic information. When the cultural relic information contained in the first cultural relic data information and the second cultural relic data information is different, the system needs to make further judgments. In this case, the system determines the target cultural relic information based on the generation time corresponding to the first cultural relic data information and the second cultural relic data information. The generation time usually refers to the time point when the information is captured or recorded by the system. The system may use strategies such as "latest information first" or "preset rule first" to make judgments. For example, if the system is set to "latest information first", it will select the information with the latest generation time as the target cultural relic information; if the system has preset rules (such as giving priority to gesture input or voice input), it will make judgments based on these rules.
[0028] The effect of the above technical solution is: by comparing the first cultural relic data information and the second cultural relic data information, the system can more accurately determine the target cultural relic information required by the user. When both input methods point to the same information, the system's judgment is more reliable. The technical solution allows users to input through gestures and voice, which improves the flexibility of interaction. Users can choose input methods according to their preferences and habits, or use different input methods in different scenarios. When there is a conflict between the first cultural relic data information and the second cultural relic data information, the system can make a judgment based on the generation time or preset rules to solve the problem of information conflict. This helps to improve the stability and reliability of the system. By providing multiple input methods and intelligent information processing mechanisms, the technical solution can enhance the user experience. Users can interact with the system more easily and quickly obtain the required information.
[0029] To sum up, this technical solution determines the target cultural relic information by comparing and judging the content and generation time of the first cultural relic data information and the second cultural relic data information, thereby improving the accuracy of information and the flexibility of interaction, while solving the problem of information conflict and improving user experience.
[0030] In one embodiment of the present invention, when the cultural relic information included in the first cultural relic data information and the second cultural relic data information is different, determining the target cultural relic information according to the generation time corresponding to the first cultural relic data information and the second cultural relic data information includes: Step 1, extracting the generation time of the first cultural relic data information; Step 2: extracting the starting time of the hand movement corresponding to the first cultural relic data information; Step 3, retrieving virtual scene data and cultural relic background data corresponding to the first cultural relic data information; Step 4, extracting the generation time of the second cultural relic data information; Step 5, extracting the start collection time of the voice command information corresponding to the second cultural relic data information; Step 6, retrieving virtual scene data and cultural relic background data corresponding to the second cultural relic data information; Step 7: using the generation time of the first cultural relic data information and the start collection time of the hand movement corresponding to the first cultural relic data information to obtain the generation time index coefficient corresponding to the first cultural relic data information; The generation time index coefficient corresponding to the first cultural relic data information is obtained by the following formula: in, S 01 represents the generation time index coefficient corresponding to the first cultural relic data information; I 01 Indicates the intensity of the operation intention corresponding to the first cultural relic data information; C 01 Indicates the complexity of the cultural relic data corresponding to the first cultural relic data information; t q01 Indicates the start time of collecting the hand action corresponding to the first cultural relic data information; t s01 Indicates the time when the first cultural relic data information is generated; I 01 Indicates the intensity of the operation intention corresponding to the first cultural relic data information; The operation intention intensity corresponding to the first cultural relic data information is obtained by the following formula: in, C01 Indicates the complexity of the cultural relic data corresponding to the first cultural relic data information; w 01 and w 02 Indicates a first weight coefficient and a second weight coefficient corresponding to the first cultural relic data information; F 01 Indicates the data volume of the virtual scene data corresponding to the first cultural relic data information; F c Indicates the preset data volume reference value; T 01 Indicates the duration of the virtual scene video of the virtual scene data corresponding to the first cultural relic data information; T c Indicates the preset duration reference value; M 01 Indicates the number of pictures included in the cultural relic background data corresponding to the first cultural relic data information; M c Indicates the preset reference value of the number of pictures; Furthermore, the operation intention intensity corresponding to the first cultural relic data information is obtained by the following formula: in, I 01 Indicates the intensity of the operation intention corresponding to the first cultural relic data information; w 03 , w 04 and w 05 respectively represent the third weight coefficient, the fourth weight coefficient and the fifth weight coefficient corresponding to the first cultural relic data information; f 01 Indicates the frequency of access to the first cultural relic data information by the user; D 01 Indicates the browsing time of the user for the first cultural relic data information; R 01 Indicates the ratio of the number of times the user repeatedly selects the first cultural relic data information to the total number of times the user selects all cultural relics; f x represents the overall access frequency of the first cultural relic data information; D x Indicates the total browsing time of the first cultural relic data information; R x Indicates the proportion of the first cultural relic data information being repeatedly selected by the same user; Step 8: using the generation time of the second cultural relic data information and the start collection time of the hand movement corresponding to the second cultural relic data information to obtain the generation time index coefficient corresponding to the second cultural relic data information; The generation time index coefficient corresponding to the second cultural relic data information is obtained by the following formula: in, S 02 represents the generation time index coefficient corresponding to the second cultural relic data information; I 02 Indicates the intensity of the operation intention corresponding to the second cultural relic data information; C 02 Indicates the complexity of the cultural relic data corresponding to the second cultural relic data information; t q02 Indicates the start time of collecting the voice command information corresponding to the second cultural relic data information; t s02 Indicates the time when the second cultural relic data information is generated; I 02 Indicates the intensity of the operation intention corresponding to the second cultural relic data information; The operation intention intensity corresponding to the second cultural relic data information is obtained by the following formula: in, C 02 Indicates the complexity of the cultural relic data corresponding to the first cultural relic data information; k 01 and k 02 Indicates a first weight coefficient and a second weight coefficient corresponding to the second cultural relic data information; F 02 Indicates the data volume of the virtual scene data corresponding to the second cultural relic data information; F c Indicates the preset data volume reference value; T 02 Indicates the duration of the virtual scene video of the virtual scene data corresponding to the second cultural relic data information; T c Indicates the preset duration reference value; M 02 Indicates the number of pictures included in the cultural relic background data corresponding to the second cultural relic data information; M c Indicates the preset reference value of the number of pictures; Furthermore, the operation intention intensity corresponding to the second cultural relic data information is obtained by the following formula: in, I 02 Indicates the intensity of the operation intention corresponding to the second cultural relic data information; k 03 , k 04 and k 05 respectively represent the third weight coefficient, the fourth weight coefficient and the fifth weight coefficient corresponding to the second cultural relic data information; f 02 Indicates the frequency of access to the second cultural relic data information by the user; D 02 Indicates the browsing time of the second cultural relic data information by the user; R 02 Indicates the ratio of the number of times the user repeatedly selects the second cultural relic data information to the total number of times the user selects all cultural relics; f x represents the overall access frequency of the second cultural relic data information; D x Indicates the total browsing time of the second cultural relic data information; R x Indicates the proportion of the second cultural relic data information being repeatedly selected by the same user; Step 9: Compare the generation time index coefficient corresponding to the first cultural relic data information with the generation time index coefficient corresponding to the second cultural relic data information to obtain a comparison result; Step 10: Determine the target cultural relic information based on a comparison result between a generation time index coefficient corresponding to the first cultural relic data information and a generation time index coefficient corresponding to the second cultural relic data information.
[0031] The working principle of the above technical solution is: extract the generation time of the first cultural relic data information and the second cultural relic data information respectively (that is, the time point when the information is recorded by the system). At the same time, extract the starting collection time of the hand action associated with these two types of cultural relic data information (for the first cultural relic data information) and the starting collection time of the voice command information (for the second cultural relic data information). These moments reflect the starting point of the user's operation. According to the identification of the cultural relic data information, the corresponding virtual scene data and cultural relic background data are retrieved from the database. These data provide a basis for evaluating the complexity of the cultural relic data information and the strength of the user's operation intention. The generation time index coefficient corresponding to the first cultural relic data information and the second cultural relic data information is calculated using a formula. The coefficient combines the complexity of the cultural relic data information, the strength of the user's operation intention and the time factor (the difference between the starting collection time and the generation time). The complexity of the cultural relic data information is evaluated based on the data volume of the virtual scene data, the duration of the virtual scene video and the number of pictures in the cultural relic background data. The strength of the user's operation intention is measured by the user's access frequency, browsing time and the proportion of the number of repeated selections to the total number of all cultural relics selected. The generation time index coefficient corresponding to the first cultural relic data information is compared with the generation time index coefficient corresponding to the second cultural relic data information. According to the comparison results, the cultural relic data information with a higher generation time index coefficient is selected as the target cultural relic information. This means that under the comprehensive consideration of complexity, operation intention intensity and time factors, the information is more likely to accurately reflect the target cultural relic information required by the user.
[0032] The effect of the above technical solution is: by comprehensively considering the complexity of cultural relic data information, the strength of user operation intention and time factors, the technical solution can more accurately determine the target cultural relic information. This helps to reduce misjudgments caused by information conflicts. The technical solution introduces the concept of generating time index coefficients and evaluates the value of different cultural relic data information through complex calculation formulas. This reflects the system's in-depth understanding of user behavior and cultural relic data information characteristics, and enhances the intelligence of the system. By more accurately determining the target cultural relic information, the technical solution can provide users with more accurate and personalized services. This helps to improve user satisfaction and loyalty and enhance users' trust in the system. The technical solution provides new ideas and methods for cultural relic data management. By introducing time factors and multiple dimensions of consideration, the solution provides a more comprehensive perspective and a more scientific basis for the processing, analysis and utilization of cultural relic data information.
[0033] On the other hand, the technical solution ensures the accuracy and comprehensiveness of data processing by extracting multiple key elements of the first cultural relic data information and the second cultural relic data information (such as generation time, hand movement start collection time, voice command start collection time, virtual scene data, cultural relic background data, etc.), and performing complex calculations and analyses based on these elements. By introducing the concept of operation intention strength and designing a detailed calculation formula for it, the technical solution can quantitatively evaluate the user's operation intention strength on the cultural relic data information. This helps to understand the user's behavior and needs more accurately, thereby providing cultural relic information that better meets the user's expectations. The calculation of the generation time index coefficient takes into account multiple factors such as the generation time of the cultural relic data information, the start collection time of the hand movement or voice command, and the operation intention strength. The introduction of this index enables the technical solution to more comprehensively evaluate the timeliness and importance of the cultural relic data information. The technical solution can dynamically adjust the calculation method and parameters according to the different situations of the first cultural relic data information and the second cultural relic data information to adapt to different application scenarios and data characteristics. This dynamic adjustment and adaptability make the technical solution more flexible and practical. By comparing the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information, the technical solution can accurately determine the target cultural relic information. This helps to quickly filter out the information that best meets the user's needs and expectations from multiple cultural relics data information. The operation intention strength calculation formula in the technical solution takes into account multiple factors such as the user's access frequency, browsing time, and number of repeated selections, which helps to deeply analyze the user's behavior patterns and preferences. This in-depth user behavior analysis can provide strong support for subsequent cultural relics information recommendations and personalized services. The above technical solution can handle large-scale data sets and show good performance in practical applications.
[0034] In summary, the technical solution can achieve multiple technical effects in terms of performance indicators, such as accuracy and comprehensiveness of data processing, quantitative evaluation of the intensity of operation intentions, introduction of generation time index coefficients, dynamic adjustment and adaptability, accurate determination of target cultural relics information, in-depth analysis of user behavior, and computational efficiency and scalability. These effects work together in the processing and analysis process of cultural relics data information, which helps to improve the overall data processing efficiency and accuracy and provide users with better cultural relics information services. At the same time, by comprehensively considering multiple dimensions and time factors of cultural relics data information, the technical solution improves the accuracy of information determination, enhances the intelligence of the system, and provides users with a better service experience. At the same time, the solution also provides new ideas and methods for cultural relics data management, and has broad application prospects and promotion value.
[0035] In one embodiment of the present invention, determining the target cultural relic information according to a comparison result between a generation time index coefficient corresponding to the first cultural relic data information and a generation time index coefficient corresponding to the second cultural relic data information includes: Step 1001: Compare the generation time corresponding to the first cultural relic data information with the generation time corresponding to the second cultural relic data information to obtain a generation time difference; Step 1002: Compare the generated time difference with a preset time difference threshold; Step 1003: when the generation time difference exceeds a preset time difference threshold, extracting a comparison result between the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information; Step 1004: compare the coefficient difference corresponding to the comparison result between the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information with a preset coefficient difference threshold; Step 1005: When the coefficient difference between the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information is less than a preset coefficient difference threshold, the cultural relic data information with the later generation time between the generation time corresponding to the first cultural relic data information and the generation time corresponding to the second cultural relic data information is determined as the target cultural relic information; Step 1006: When the coefficient difference between the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information is not less than a preset coefficient difference threshold, the cultural relic data information corresponding to the maximum value of the coefficients of the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information is determined as the target cultural relic information; Step 1007: When the generation time difference does not exceed the preset time difference threshold, the cultural relic data information corresponding to the minimum value of the coefficient between the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information is determined as the target cultural relic information.
[0036] The working principle of the above technical solution is as follows: first, compare the generation time of the first cultural relic data information and the second cultural relic data information, and calculate the generation time difference. Compare the generated time difference with the preset time difference threshold. This threshold is used to determine whether the two cultural relic data information are close enough in time to determine whether more complex comparison logic needs to be considered. If the generation time difference exceeds the preset time difference threshold, it means that the two cultural relic data information are far apart in time. At this time, it is necessary to extract the generation time index coefficient corresponding to the first cultural relic data information and the second cultural relic data information, and compare them. Compare the difference of the generation time index coefficient with the preset coefficient difference threshold. This threshold is used to determine the closeness of the two cultural relic data information in the generation time index coefficient. If the coefficient difference is less than the preset coefficient difference threshold, and the generation time difference exceeds the preset time difference threshold, it means that although the two cultural relic data information are far apart in time, they are very close in the generation time index coefficient. At this time, the cultural relic data information with the later generation time is selected as the target cultural relic information because it may represent the user's latest intention or operation. If the coefficient difference is not less than the preset coefficient difference threshold, and the generation time difference exceeds the preset time difference threshold, it means that the two cultural relic data information have significant differences in the generation time index coefficient. At this time, the cultural relic data information with a larger generation time index coefficient is selected as the target cultural relic information, because it may more accurately reflect the user's intention or operation. If the generation time difference does not exceed the preset time difference threshold, it means that the two cultural relic data information are very close in time. At this time, the cultural relic data information with a smaller generation time index coefficient is selected as the target cultural relic information, which may be based on an assumption that at a similar time, users are more inclined to choose content with simpler operations or more intuitive information.
[0037] The effect of the above technical solution is: by comprehensively considering the generation time and the generation time index coefficient, the technical solution can more accurately determine the target cultural relic information and reduce the misjudgment caused by information conflicts. The technical solution provides a variety of judgment logics, which can be flexibly selected according to the actual situation of the cultural relic data information, so as to adapt to different application scenarios and user needs. By more accurately determining the target cultural relic information, the technical solution can provide users with more accurate and personalized services, and improve user satisfaction and loyalty. The technical solution makes quick judgments through preset thresholds, avoids unnecessary complex calculations, and improves data processing efficiency.
[0038] In summary, this technical solution improves the accuracy of information determination, enhances the flexibility of the system, optimizes the user experience, and improves data processing efficiency by comprehensively considering the generation time and generation time index coefficient. These technical effects make this technical solution have broad application prospects and promotion value in the field of cultural relics data information management and processing.
[0039] In one embodiment of the present invention, according to target cultural relic information required by a user, a virtual scene corresponding to the target cultural relic information that has been rendered is retrieved, and a rendering quality detection is performed on the virtual scene that has been rendered, including: S201, according to the target cultural relic information required by the user, retrieve the rendered virtual scene corresponding to the target cultural relic information; S202, retrieving scene parameters of the rendered virtual scene; wherein the scene parameters include frame rate, dynamic range value and resolution; S203, obtaining a rendering quality evaluation coefficient corresponding to the rendered virtual scene by using the scene parameters of the rendered virtual scene; S204, comparing the rendering quality evaluation coefficient corresponding to the rendered virtual scene with a preset evaluation coefficient threshold; S205: When the rendering quality evaluation coefficient corresponding to the rendered virtual scene is lower than a preset evaluation coefficient threshold, re-rendering is performed.
[0040] The working principle of the above technical solution is as follows: according to the target cultural relic information required by the user, the system first retrieves the virtual scene that has been rendered corresponding to the cultural relic information. This step is the basis for subsequent detection and ensures the consistency between the detected object and the user's needs. Next, the system retrieves the scene parameters of the virtual scene that has been rendered. These parameters include frame rate, dynamic range value and resolution, etc., which together constitute the basic quality indicators of the virtual scene. Using the above scene parameters, the system further calculates the rendering quality evaluation coefficient corresponding to the virtual scene. This coefficient is a quantitative assessment of the rendering quality of the virtual scene, which can intuitively reflect its quality level. The calculated rendering quality evaluation coefficient is compared with the preset evaluation coefficient threshold. The purpose of this step is to determine whether the rendering quality of the virtual scene meets the requirements of the user or the system. If the rendering quality evaluation coefficient is lower than the preset evaluation coefficient threshold, it means that the rendering quality of the virtual scene does not meet the standard. At this time, the system needs to decide to re-render the virtual scene to improve its quality level.
[0041] The effect of the above technical solution is: by performing rendering quality detection on the virtual scene corresponding to the target cultural relic information required by the user, it is ensured that the user obtains a high-quality, clear and smooth virtual scene experience. This helps to improve user satisfaction and loyalty. By performing quality detection on the virtual scene that has been rendered, unnecessary repeated rendering is avoided, thereby saving computing resources and time costs. When the quality of the virtual scene meets the standard, no additional rendering is required, reducing resource waste. The technical solution makes a quick judgment through a preset evaluation coefficient threshold, avoids the complex manual detection process, and improves the rendering efficiency. At the same time, for virtual scenes that need to be re-rendered, the system can locate problems more quickly and optimize the processing. The technical solution can flexibly adjust the evaluation coefficient threshold according to user needs and system requirements to adapt to different application scenarios and rendering requirements. This helps to improve the flexibility and adaptability of the system. In the field of digital protection of cultural relics, the application of this technical solution helps to ensure the accuracy and authenticity of virtual cultural relic scenes. Through high-quality rendering and detection, cultural relic information can be more effectively displayed and passed on, providing strong support for digital protection of cultural relics.
[0042] In summary, this technical solution effectively improves user experience, optimizes resource utilization, improves rendering efficiency, enhances system flexibility, and promotes the development of digital protection of cultural relics by detecting the rendering quality of the virtual scene corresponding to the target cultural relic information required by the user and deciding whether to re-render based on the detection results.
[0043] In one embodiment of the present invention, obtaining a rendering quality evaluation coefficient corresponding to the rendered virtual scene using the scene parameters of the rendered virtual scene includes: S2031, retrieving the resolution included in the scene parameters; S2032, comparing the resolution with a preset resolution threshold; S2033, when the resolution is lower than a preset resolution threshold, obtaining a rendering quality evaluation coefficient using the frame rate and dynamic range included in the scene parameters; The rendering quality evaluation coefficient is obtained by the following formula: in, Q Represents the rendering quality evaluation coefficient; G Indicates the frame rate; K Indicates dynamic range; α , β and cRespectively represent the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient, and the value ranges of the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient are: 0.50-2.00, 1.21-1.82 and 0.34-0.63; S2034. When the resolution is not lower than a preset resolution threshold, a rendering quality evaluation coefficient is obtained using the frame rate, dynamic range and resolution included in the scene parameters; The rendering quality evaluation coefficient is obtained by the following formula: in, Q Represents the rendering quality evaluation coefficient; G Indicates the frame rate; K Indicates dynamic range; Y Indicates resolution; Y 0 indicates the preset resolution threshold; Y max Indicates the desired resolution; i and d They represent the first adjustment factor and the second adjustment factor respectively, and the value ranges of the first adjustment factor and the second adjustment factor are 0.48-0.73 and 0.17-0.42 respectively.
[0044] The working principle of the above technical solution is as follows: First, the resolution information is retrieved from the scene parameters. Resolution is a key indicator for measuring image clarity and detail expression. The retrieved resolution is compared with the preset resolution threshold. This threshold is set according to system requirements or user expectations, and is used to determine whether the resolution meets the standard. If the resolution is lower than the preset resolution threshold, it means that the image clarity is insufficient. At this time, the frame rate and dynamic range information are used to calculate the rendering quality evaluation coefficient through a specific formula (involving the first adjustment coefficient α, the second adjustment coefficient β and the third adjustment coefficient γ). These adjustment coefficients are used to balance the impact of frame rate and dynamic range on rendering quality. If the resolution is not lower than the preset resolution threshold, it means that the image clarity meets the standard or higher. At this time, in addition to using the frame rate and dynamic range information, the resolution information is also introduced (taking into account the preset resolution threshold Y0 and the expected resolution Y max ), the rendering quality evaluation coefficient is calculated through another specific formula (involving the first adjustment factor θ and the second adjustment factor δ). This formula more comprehensively considers the impact of resolution on rendering quality and introduces the expected value of resolution for adjustment.
[0045] The effect of the above technical solution is: by comprehensively considering multiple factors such as resolution, frame rate and dynamic range, and introducing adjustment coefficients and adjustment factors for quantitative evaluation, the technical solution can more accurately reflect the rendering quality of the virtual scene. The technical solution can select different calculation formulas according to different resolution conditions, and allow the adjustment coefficients and adjustment factors to take values within a certain range, thereby enhancing the flexibility and adaptability of the system, making it applicable to different application scenarios and rendering requirements. Through accurate rendering quality evaluation, the system can more effectively determine which virtual scenes need to be re-rendered and which can be retained, thereby avoiding unnecessary repeated rendering and optimizing the utilization of computing resources. High-quality rendering and accurate rendering quality evaluation help improve the user experience, allowing users to enjoy a clearer, smoother and more realistic virtual scene experience. In the field of digital protection of cultural relics, the application of this technical solution helps to ensure the rendering quality of virtual cultural relic scenes, thereby more accurately displaying and inheriting cultural relic information, and providing strong support for the digital protection of cultural relics.
[0046] On the other hand, the technical solution can more accurately evaluate the rendering quality of the rendered virtual scene by comprehensively considering key parameters such as the resolution, frame rate and dynamic range of the virtual scene. This comprehensive evaluation method is more comprehensive and objective than a single parameter evaluation. The technical solution uses different formulas to calculate the rendering quality evaluation coefficient according to whether the resolution reaches the preset threshold. This design enables the technical solution to flexibly adapt to virtual scenes of different resolutions and ensure the accuracy and effectiveness of the evaluation. By introducing adjustment coefficients (α, β, γ) and adjustment factors (θ, δ), the technical solution allows users to adjust the calculation method of the evaluation coefficient according to actual needs. This adjustability and configurability enable the technical solution to be more widely applied to different virtual scenes and rendering quality evaluation needs. The formula in the technical solution is relatively simple and the calculation amount is moderate. It can achieve high calculation efficiency while ensuring accuracy. This helps to quickly obtain the rendering quality evaluation coefficient in real-time rendering and dynamic evaluation scenes. The steps and formulas in the technical solution are clear and easy to implement and integrate into the existing virtual scene rendering and evaluation system. This helps to reduce the difficulty and cost of implementing the technical solution. By obtaining the rendering quality evaluation coefficient, the technical solution can provide guidance for the rendering optimization of virtual scenes. For example, when the evaluation coefficient is low, the rendering parameters can be adjusted in a targeted manner (such as increasing resolution, increasing frame rate, etc.) to improve the rendering quality. The technical solution is not only applicable to the current virtual scene rendering technology, but also has certain scalability and compatibility. With the continuous development of virtual scene rendering technology, the technical solution can be further expanded and improved to adapt to new rendering parameters and evaluation requirements.
[0047] In summary, this technical solution can achieve multiple technical effects in terms of performance indicators, including accuracy, flexibility and adaptability, adjustability and configurability, computational efficiency and real-time performance, ease of implementation and integration, guidance of rendering optimization, and scalability and compatibility of rendering quality evaluation. These effects work together in the evaluation and optimization process of virtual scene rendering quality, which helps to improve the overall rendering quality and user experience. At the same time, this technical solution improves the accuracy of rendering quality evaluation, enhances the flexibility and adaptability of the system, optimizes resource utilization, improves user experience, and promotes the development of digital protection of cultural relics by comprehensively considering multiple factors and introducing adjustment coefficients and adjustment factors for quantitative evaluation.
[0048] In one embodiment of the present invention, when the rendered virtual scene meets the rendering instruction requirements, the virtual scene with the cultural relic data is synthesized using the cultural relic data corresponding to the target cultural relic information and the rendered virtual scene, and a visual display is performed, including: S301, when the rendered virtual scene meets the rendering instruction requirements, cultural relic data corresponding to the target cultural relic information is retrieved from the database, wherein the cultural relic data includes but is not limited to data information such as the history and background of the cultural relic; S302, fusing the cultural relic data corresponding to the target cultural relic information with the rendered virtual scene corresponding to the target cultural relic information to generate a virtual scene with the cultural relic data; S303: Visually display the virtual scene.
[0049] The working principle of the above technical solution is: when the rendered virtual scene meets the rendering instruction requirements (such as resolution, frame rate, dynamic range and other parameters are up to standard), the system retrieves the cultural relic data corresponding to the target cultural relic information from the database. These data include but are not limited to detailed information such as the historical background, production process, and cultural connotation of the cultural relics, which provide rich background and content for the virtual scene. Next, the system merges the retrieved cultural relic data with the rendered virtual scene. This step may involve complex operations such as unification of data formats, matching of coordinate systems, and calling of rendering engines to ensure that the cultural relic data can be accurately and naturally embedded in the virtual scene. Finally, the system visualizes the generated virtual scene with cultural relic data. This can be achieved through various display platforms (such as VR / AR devices, web browsers, mobile applications, etc.), allowing users to experience the virtual scene in an immersive way and obtain detailed information about the target cultural relics.
[0050] The effect of the above technical solution is that by combining cultural relic data with virtual scenes, users can not only see the appearance of cultural relics, but also understand the historical and cultural background behind them. This immersive experience greatly enhances the user's sense of participation and interest and improves the user experience. As an intuitive and vivid display method, virtual scenes can more effectively convey cultural relic information. Compared with traditional display methods such as text and pictures, virtual scenes can stimulate users' visual, auditory and other senses at the same time, making information easier to understand and remember. This technical solution has broad application prospects in the fields of cultural relic protection and education. Displaying cultural relics through virtual scenes can reduce direct contact with and damage risks to physical objects, while increasing the visibility and influence of cultural relics. In addition, virtual scenes can also be used as educational tools to help students understand cultural relics and historical culture more intuitively. The implementation of this technical solution has promoted the application and development of digital technology in the field of cultural relic protection and display. Through continuous technological innovation and optimization, the realism and interactivity of virtual scenes can be further enhanced to provide users with a richer experience.
[0051] In summary, this technical solution enhances user experience, improves information dissemination efficiency, promotes cultural relic protection and education, and drives the development of digital technology by integrating cultural relic data with virtual scenes and performing visual displays.
[0052] In one embodiment of the present invention, the cultural relic data corresponding to the target cultural relic information is merged with the rendered virtual scene corresponding to the target cultural relic information to generate a virtual scene with the cultural relic data, including: S3021, converting the cultural relic data corresponding to the target cultural relic information into a data format that matches the rendered virtual scene corresponding to the target cultural relic information; S3022, defining anchor points in the rendered virtual scene corresponding to the target cultural relic information, wherein the anchor points are locations where the cultural relic data will be placed. These locations should be hot spots or visual focal points for user interaction to enhance user experience; S3023: Mapping the cultural relic data corresponding to the target cultural relic information to an anchor point corresponding to the rendered virtual scene corresponding to the target cultural relic information.
[0053] The working principle of the above technical solution is as follows: first, the cultural relic data corresponding to the target cultural relic information is converted into a data format that matches the virtual scene that has been rendered. Since the cultural relic data may come from different data sources, their formats and encoding methods may be different. In order to ensure that the cultural relic data can be correctly displayed in the virtual scene, it is necessary to convert it into a data format compatible with the virtual scene. Then, anchor points are defined in the virtual scene that has been rendered. Anchor points are the locations where the cultural relic data will be placed, and they are usually hot spots or visual focuses for user interaction. By defining anchor points, it can be ensured that the location and layout of the cultural relic data in the virtual scene meet the user's expectations and interaction habits, thereby enhancing the user experience. Finally, the cultural relic data corresponding to the target cultural relic information is mapped to the anchor points corresponding to the virtual scene. This step is a key step in associating the converted cultural relic data with the virtual scene. Through mapping, the cultural relic data can be correctly displayed in the virtual scene and interact with other elements of the virtual scene.
[0054] The effect of the above technical solution is: through data format conversion, it can ensure that the cultural relic data can be correctly displayed in the virtual scene, improving the compatibility and availability of the data. By defining anchor points in the virtual scene and mapping the cultural relic data to these anchor points, it can ensure that the position and layout of the cultural relic data in the virtual scene meet the user's expectations and interaction habits. This helps to improve user participation and satisfaction and enhance user experience. This technical solution enables cultural relic data to be effectively displayed and utilized in virtual scenes. Through virtual scenes, users can more intuitively understand the historical and cultural background of cultural relics, increasing the dissemination range and influence of cultural relic data. The implementation of this technical solution has promoted the application and development of digital technology in the field of cultural relic protection and display. Displaying cultural relic data through virtual scenes can reduce direct contact with and damage risks to physical objects, while increasing the visibility and influence of cultural relics.
[0055] In summary, this technical solution realizes the integration of cultural relics data and virtual scenes through steps such as data format conversion, anchor point definition and data mapping, and brings technical effects such as improving data compatibility, enhancing user experience, promoting the effective use of cultural relics data and promoting the application of digital technology.
[0056] In one embodiment of the present invention, the method for interaction between virtual digital cultural relics and audiences further includes: Receive user scan code information in real time, enter the timeline corresponding to the scan code information according to the user scan code information, and display the cultural relics and historical periods corresponding to the timeline and related historical events and cultural stories; Receive user scan code information in real time, enter the cultural story corresponding to the scan code information according to the user scan code information, and automatically tell the cultural story; Receive user scan code information in real time, enter the expert lecture live broadcast platform corresponding to the scan code information according to the user scan code information, and broadcast expert online lectures or seminars online; A cultural relics interactive platform is set up for users to interact and ask questions on the cultural relics interactive platform.
[0057] The working principle of the above technical solution is as follows: when a user scans a QR code or barcode of a specific cultural relic through a mobile device (such as a smartphone), the system receives the scanned code information in real time. The system analyzes the scanned code information and identifies the corresponding cultural relic, timeline, cultural story or expert lecture, etc. Timeline display and cultural relic information presentation: According to the scanned code information, the system enters the timeline related to the cultural relic. On the timeline, the system displays the historical era, historical events and cultural stories related to the cultural relic. Automatic narration of cultural stories: The system can identify the cultural stories that the user wants to know and automatically narrate them in the form of voice, text or video. The narration may include the historical background, production process, artistic value, etc. of the cultural relic. Access to the expert lecture live broadcast platform: Users can directly enter the expert lecture live broadcast platform related to the cultural relic by scanning the code. On the platform, users can watch the expert's online lectures or seminars and learn about the latest research results or interpretations of the cultural relic in real time. Setting up and interacting with the cultural relic interactive platform: The system sets up a cultural relic interactive platform for users to interact. Users can ask questions, make comments, participate in discussions, etc. on the platform to interact with other users or experts. It should be noted that the "question" mentioned in the original text may be a typo or omission. Under normal circumstances, it should refer to "question" or other interactive functions.
[0058] The technical effect of the above technical solution is: through the interaction between virtual digital cultural relics and the audience, the audience can more intuitively understand the historical background and cultural connotation of the cultural relics. Functions such as automatic narration and expert lectures enable the audience to learn more deeply about cultural relics and improve the fun and educational nature of the visit. Through digital means, cultural relic information can be more widely disseminated and shared. The audience can learn about cultural relic information through mobile phones and other devices anytime and anywhere, breaking the limitations of time and space. By showing the historical value and artistic value of cultural relics, the audience can more deeply understand the importance of cultural relic protection. Discussions and exchanges on interactive platforms also help to form a social consensus on cultural relic protection. The interaction between virtual digital cultural relics and the audience provides new ideas and means for cultural innovation. Through digital technology and Internet platforms, more novel and interesting cultural products and services can be created.
[0059] To sum up, this technical solution realizes in-depth interaction between virtual digital cultural relics and audiences by receiving user scan code information in real time and providing relevant cultural relics information, cultural stories, expert lectures, etc. based on the information, as well as setting up a cultural relics interactive platform for users to interact. It enhances the audience's visiting experience and learning effect, while also promoting cultural dissemination and innovation.
[0060] The embodiment of the present invention proposes an interactive system between virtual digital cultural relics and audiences, such as Figure 2 As shown, the interactive system between the virtual digital cultural relics and the audience includes: The target cultural relic information acquisition module is used to monitor the user's gestures and voice input in real time through a gesture capture device and a voice acquisition device, and acquire the target cultural relic information currently required by the user through the user's gestures and voice input; wherein the gesture capture device includes but is not limited to a VR handle or a glove, etc.; the voice acquisition device includes but is not limited to a microphone, etc.; A virtual scene quality detection module is used to retrieve a virtual scene that has been rendered and corresponds to the target cultural relic information required by the user, and perform a rendering quality detection on the virtual scene that has been rendered; The virtual scene visualization display module is used to synthesize a virtual scene with cultural relic data using the cultural relic data corresponding to the target cultural relic information and the virtual scene that has been rendered, and to perform visualization display when the rendered virtual scene meets the rendering instruction requirements.
[0061] The working principle of the above technical solution is as follows: gesture capture devices (such as VR handles, gloves, etc.) capture the user's hand movements in real time through built-in sensors and convert these movements into digital signals. Voice acquisition devices (such as microphones) are responsible for capturing the user's voice input and converting it into text or instructions through voice recognition technology. The system analyzes the user's intention based on the captured gestures and recognized voice content to determine the target cultural relic information currently required by the user. Once the target cultural relic information is determined, the system will retrieve the completed rendered virtual scene corresponding to the cultural relic from the database. Before display, the system will perform rendering quality detection on these virtual scenes to ensure that they meet the requirements of the rendering instructions, including scene details, light and shadow effects, color restoration and other aspects. If the rendering quality of the virtual scene does not meet the requirements, the system may perform necessary optimization or re-rendering to ensure the high quality of the final display effect. When the rendering quality of the virtual scene meets the requirements, the system will synthesize the cultural relic data corresponding to the target cultural relic information with the completed rendered virtual scene. The synthesized virtual scene will contain rich cultural relic information, such as the shape, texture, color, etc. of the cultural relic, as well as the historical background and production process related to it. Finally, the system presents the synthesized virtual scene to the audience through visualization technology (such as virtual reality headsets, large-screen displays, etc.), allowing the audience to appreciate and understand the cultural relics in an immersive way.
[0062] The effect of the above technical solution is: through gesture capture and voice recognition technology, the audience can interact with virtual digital cultural relics in a more natural and intuitive way, thereby greatly improving the audience's participation and experience quality. High-quality rendering technology and visual display allow the audience to appreciate the cultural relics in an immersive way, enhancing the audience's immersion and sense of substitution. Virtual digital cultural relic technology can provide the audience with rich cultural relic information and viewing experience without destroying the physical cultural relics, thereby reducing the difficulty and cost of cultural relic protection. This technical solution can be applied to cultural venues such as museums and libraries, as well as education, tourism and other fields, providing broader channels and possibilities for the protection and dissemination of cultural heritage.
[0063] In summary, this technical solution achieves in-depth interaction and high-quality display between virtual digital cultural relics and audiences by combining advanced technologies such as gesture capture, voice recognition, and rendering quality detection, providing strong support for the digital protection and inheritance of cultural heritage.
[0064] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.
Claims
1. A method for interaction between virtual digital cultural relics and audiences, characterized in that: The method for interacting with the virtual digital cultural relics and the audience includes: The user's gestures and voice inputs are monitored in real time by a gesture capture device and a voice collection device, and the target cultural relic information currently required by the user is obtained through the user's gestures and voice inputs; and when the cultural relic information corresponding to the user's gestures and voice inputs is inconsistent, the target cultural relic information is determined by comparing the generation time index coefficient corresponding to the gesture with the generation time index coefficient corresponding to the voice input; According to the target cultural relic information required by the user, a virtual scene that has been rendered and corresponds to the target cultural relic information is retrieved, and a rendering quality evaluation coefficient is generated using the frame rate and the dynamic range, and a rendering quality detection is performed on the virtual scene that has been rendered using the rendering quality evaluation coefficient; When the rendered virtual scene meets the rendering instruction requirements, the cultural relic data corresponding to the target cultural relic information and the rendered virtual scene are used to synthesize a virtual scene with the cultural relic data, and the virtual scene is visualized.
2. The method for interaction between virtual digital cultural relics and audiences according to claim 1, characterized in that: The gesture capture device and voice collection device monitor the user's gestures and voice input in real time, and obtain the target cultural relic information currently required by the user through the user's gestures and voice input, including: Initializing the gesture capturing device and the voice collecting device; The user's hand movements are captured by using the accelerometer and gyroscope set inside the gesture capture device; The data processing unit provided inside the gesture capture device uses a predefined gesture recognition algorithm to perform gesture recognition on the captured hand movements of the user to determine the sliding position of the user's hand; Acquiring cultural relic information corresponding to the hand sliding position according to the hand sliding position of the user, and using the cultural relic information corresponding to the hand sliding position as first cultural relic data information; Collect the user's voice command information in real time through the voice collection device; Converting the user's voice command information into a voice digital signal, and performing noise filtering and sound enhancement processing on the voice digital signal corresponding to the voice command information to obtain a processed voice digital signal; Converting the voice digital signal into text data, and performing text recognition on the text data to obtain the second cultural relic data information currently required by the user; Target cultural relic information is determined from the first cultural relic data information and the second cultural relic data information.
3. The method for interaction between virtual digital cultural relics and audiences according to claim 2, characterized in that: Determining target cultural relic information from the first cultural relic data information and the second cultural relic data information includes: When the cultural relic information included in the first cultural relic data information and the second cultural relic data information is the same, the cultural relic information jointly determined by the first cultural relic data information and the second cultural relic data information is used as the target cultural relic information; When the cultural relic information included in the first cultural relic data information and the second cultural relic data information is different, the target cultural relic information is determined according to the generation time corresponding to the first cultural relic data information and the second cultural relic data information.
4. The method for interaction between virtual digital cultural relics and audiences according to claim 3, characterized in that: When the cultural relic information included in the first cultural relic data information and the second cultural relic data information is different, determining the target cultural relic information according to the generation time corresponding to the first cultural relic data information and the second cultural relic data information includes: Extracting the generation time of the first cultural relic data information; Extracting the start acquisition time of the hand movement corresponding to the first cultural relic data information; Retrieving virtual scene data and cultural relic background data corresponding to the first cultural relic data information; Extracting the generation time of the second cultural relic data information; Extracting the start collection time of the voice command information corresponding to the second cultural relic data information; Retrieving virtual scene data and cultural relic background data corresponding to the second cultural relic data information; Obtaining a generation time index coefficient corresponding to the first cultural relic data information by using the generation time of the first cultural relic data information and the start collection time of the hand movement corresponding to the first cultural relic data information; The generation time index coefficient corresponding to the first cultural relic data information is obtained by the following formula: ; in, S 01 represents the generation time index coefficient corresponding to the first cultural relic data information; I 01 Indicates the intensity of the operation intention corresponding to the first cultural relic data information; C 01 Indicates the complexity of the cultural relic data corresponding to the first cultural relic data information; t q01 Indicates the start time of collecting the hand action corresponding to the first cultural relic data information; t s01 Indicates the time when the first cultural relic data information is generated; I 01 Indicates the intensity of the operation intention corresponding to the first cultural relic data information; The operation intention intensity corresponding to the first cultural relic data information is obtained by the following formula: ; in, C 01 Indicates the complexity of the cultural relic data corresponding to the first cultural relic data information; w 01 and w 02 Indicates a first weight coefficient and a second weight coefficient corresponding to the first cultural relic data information; F 01 Indicates the data volume of the virtual scene data corresponding to the first cultural relic data information; F c Indicates the preset data volume reference value; T 01 Indicates the duration of the virtual scene video of the virtual scene data corresponding to the first cultural relic data information; T c Indicates the preset duration reference value; M 01 Indicates the number of pictures included in the cultural relic background data corresponding to the first cultural relic data information; M c Indicates the preset reference value of the number of pictures; Furthermore, the operation intention intensity corresponding to the first cultural relic data information is obtained by the following formula: ; in, I 01 Indicates the intensity of the operation intention corresponding to the first cultural relic data information; w 03 , w 04 and w 05 respectively represent the third weight coefficient, the fourth weight coefficient and the fifth weight coefficient corresponding to the first cultural relic data information; f 01 Indicates the frequency of access to the first cultural relic data information by the user; D 01 Indicates the browsing time of the user for the first cultural relic data information; R 01 Indicates the ratio of the number of times the user repeatedly selects the first cultural relic data information to the total number of times the user selects all cultural relics; f x represents the overall access frequency of the first cultural relic data information; D x Indicates the total browsing time of the first cultural relic data information; R x Indicates the proportion of the first cultural relic data information being repeatedly selected by the same user; Obtaining a generation time index coefficient corresponding to the second cultural relic data information by using the generation time of the second cultural relic data information and the start collection time of the hand movement corresponding to the second cultural relic data information; The generation time index coefficient corresponding to the second cultural relic data information is obtained by the following formula: ; in, S 02 represents the generation time index coefficient corresponding to the second cultural relic data information; I 02 Indicates the intensity of the operation intention corresponding to the second cultural relic data information; C 02 Indicates the complexity of the cultural relic data corresponding to the second cultural relic data information; t q02 Indicates the start time of collecting the voice command information corresponding to the second cultural relic data information; t s02 Indicates the time when the second cultural relic data information is generated; I 02 Indicates the intensity of the operation intention corresponding to the second cultural relic data information; The operation intention intensity corresponding to the second cultural relic data information is obtained by the following formula: ; in, C 02 Indicates the complexity of the cultural relic data corresponding to the first cultural relic data information; k 01 and k 02 Indicates a first weight coefficient and a second weight coefficient corresponding to the second cultural relic data information; F 02 Indicates the data volume of the virtual scene data corresponding to the second cultural relic data information; F c Indicates the preset data volume reference value; T 02 Indicates the duration of the virtual scene video of the virtual scene data corresponding to the second cultural relic data information; T c Indicates the preset duration reference value; M 02 Indicates the number of pictures included in the cultural relic background data corresponding to the second cultural relic data information; M c Indicates the preset reference value of the number of pictures; Furthermore, the operation intention intensity corresponding to the second cultural relic data information is obtained by the following formula: ; in, I 02 Indicates the intensity of the operation intention corresponding to the second cultural relic data information; k 03 , k 04 and k 05 respectively represent the third weight coefficient, the fourth weight coefficient and the fifth weight coefficient corresponding to the second cultural relic data information; f 02 Indicates the frequency of access to the second cultural relic data information by the user; D 02 Indicates the browsing time of the second cultural relic data information by the user; R 02 Indicates the ratio of the number of times the user repeatedly selects the second cultural relic data information to the total number of times the user selects all cultural relics; f x Indicates the overall access frequency of the second cultural relic data information; D x Indicates the total browsing time of the second cultural relic data information; R x Indicates the proportion of the second cultural relic data information being repeatedly selected by the same user; Compare the generation time index coefficient corresponding to the first cultural relic data information with the generation time index coefficient corresponding to the second cultural relic data information to obtain a comparison result; The target cultural relic information is determined based on a comparison result between a generation time index coefficient corresponding to the first cultural relic data information and a generation time index coefficient corresponding to the second cultural relic data information.
5. The method for interaction between virtual digital cultural relics and audiences according to claim 4, characterized in that: Determining target cultural relic information according to a comparison result between a generation time index coefficient corresponding to the first cultural relic data information and a generation time index coefficient corresponding to the second cultural relic data information includes: Compare the generation time corresponding to the first cultural relic data information with the generation time corresponding to the second cultural relic data information to obtain a generation time difference; Comparing the generated time difference with a preset time difference threshold; When the generation time difference exceeds a preset time difference threshold, extracting a comparison result between the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information; Compare a coefficient difference corresponding to a comparison result between a generation time index coefficient corresponding to the first cultural relic data information and a generation time index coefficient corresponding to the second cultural relic data information with a preset coefficient difference threshold; When the coefficient difference between the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information is less than a preset coefficient difference threshold, the cultural relic data information with the later generation time between the generation time corresponding to the first cultural relic data information and the generation time corresponding to the second cultural relic data information is determined as the target cultural relic information; When the coefficient difference between the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information is not less than a preset coefficient difference threshold, the cultural relic data information corresponding to the maximum value of the coefficients of the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information is determined as the target cultural relic information; When the generation time difference does not exceed the preset time difference threshold, the cultural relic data information corresponding to the minimum value of the generation time index coefficient corresponding to the first cultural relic data information and the generation time index coefficient corresponding to the second cultural relic data information is determined as the target cultural relic information.
6. The method for interaction between virtual digital cultural relics and audiences according to claim 1, characterized in that: Retrieving a rendered virtual scene corresponding to the target cultural relic information according to the target cultural relic information required by the user, and performing a rendering quality test on the rendered virtual scene, including: According to the target cultural relic information required by the user, a virtual scene corresponding to the target cultural relic information and having been rendered is retrieved; Retrieving scene parameters of the rendered virtual scene; wherein the scene parameters include frame rate, dynamic range value and resolution; Obtaining a rendering quality evaluation coefficient corresponding to the rendered virtual scene using the scene parameters of the rendered virtual scene; Comparing the rendering quality evaluation coefficient corresponding to the rendered virtual scene with a preset evaluation coefficient threshold; When the rendering quality evaluation coefficient corresponding to the virtual scene that has been rendered is lower than a preset evaluation coefficient threshold, re-rendering is performed.
7. The method for interaction between virtual digital cultural relics and audiences according to claim 6, characterized in that: Obtaining a rendering quality evaluation coefficient corresponding to the rendered virtual scene using the scene parameters of the rendered virtual scene includes: Retrieving the resolution included in the scene parameters; comparing the resolution with a preset resolution threshold; When the resolution is lower than a preset resolution threshold, a rendering quality evaluation coefficient is obtained using the frame rate and dynamic range included in the scene parameters; The rendering quality evaluation coefficient is obtained by the following formula: ; in, Q Represents the rendering quality evaluation coefficient; G Indicates the frame rate; K Indicates dynamic range; α , β and γ Respectively represent the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient, and the value ranges of the first adjustment coefficient, the second adjustment coefficient and the third adjustment coefficient are: 0.50-2.00, 1.21-1.82 and 0.34-0.63; When the resolution is not lower than a preset resolution threshold, a rendering quality evaluation coefficient is obtained using the frame rate, dynamic range and resolution included in the scene parameters; The rendering quality evaluation coefficient is obtained by the following formula: ; in, Q Represents the rendering quality evaluation coefficient; G Indicates the frame rate; K Indicates dynamic range; Y Indicates resolution; Y 0 indicates the preset resolution threshold; Y max Indicates the desired resolution; θ and δ They represent the first adjustment factor and the second adjustment factor respectively, and the value ranges of the first adjustment factor and the second adjustment factor are 0.48-0.73 and 0.17-0.42 respectively.
8. The method for interaction between virtual digital cultural relics and audiences according to claim 1, characterized in that: When the rendered virtual scene meets the rendering instruction requirements, the virtual scene with the cultural relic data is synthesized using the cultural relic data corresponding to the target cultural relic information and the rendered virtual scene, and a visual display is performed, including: When the rendered virtual scene meets the rendering instruction requirements, the cultural relic data corresponding to the target cultural relic information is retrieved from the database; Merging the cultural relic data corresponding to the target cultural relic information with the rendered virtual scene corresponding to the target cultural relic information to generate a virtual scene with the cultural relic data; The virtual scene is visualized and displayed.
9. The method for interaction between virtual digital cultural relics and audiences according to claim 8, characterized in that: The cultural relic data corresponding to the target cultural relic information is merged with the rendered virtual scene corresponding to the target cultural relic information to generate a virtual scene with the cultural relic data, including: Converting the cultural relic data corresponding to the target cultural relic information into a data format that matches the rendered virtual scene corresponding to the target cultural relic information; Defining an anchor point in the rendered virtual scene corresponding to the target cultural relic information; The cultural relic data corresponding to the target cultural relic information is mapped to an anchor point corresponding to the rendered virtual scene corresponding to the target cultural relic information.
10. The method for interaction between virtual digital cultural relics and audiences according to claim 1, characterized in that: The method for interacting with virtual digital cultural relics and audiences also includes: Receive user scan code information in real time, enter the timeline corresponding to the scan code information according to the user scan code information, and display the cultural relics and historical periods corresponding to the timeline and related historical events and cultural stories; Receive user scan code information in real time, enter the cultural story corresponding to the scan code information according to the user scan code information, and automatically tell the cultural story; Receive user scan code information in real time, enter the expert lecture live broadcast platform corresponding to the scan code information according to the user scan code information, and broadcast expert online lectures or seminars online; A cultural relics interactive platform is set up for users to interact and ask questions on the cultural relics interactive platform.
11. A virtual digital cultural relic and audience interaction system, characterized in that: The interactive system between the virtual digital cultural relics and the audience includes: The target cultural relic information acquisition module is used to monitor the user's gestures and voice input in real time through the gesture capture device and the voice collection device, and obtain the target cultural relic information currently required by the user through the user's gestures and voice input; A virtual scene quality detection module is used to retrieve a virtual scene that has been rendered and corresponds to the target cultural relic information required by the user, and perform a rendering quality detection on the virtual scene that has been rendered; The virtual scene visualization display module is used to synthesize a virtual scene with cultural relic data using the cultural relic data corresponding to the target cultural relic information and the virtual scene that has been rendered, and to perform visualization display when the virtual scene that has been rendered meets the rendering instruction requirements.
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