Method for dynamically building digital museum based on artificial intelligence

Abstract

The invention relates to the technical field of cultural digital museums, and discloses a digital museum building method based on artificial intelligence, and the method comprises the steps: creating a three-dimensional model resource library, and storing three-dimensional model data; based on the three-dimensional model resource library, adding attributes of each dimension, and enriching three-dimensional model information; building an artificial intelligence semantic comprehension server, recognizing a natural language input by a user, extracting key words, performing retrieval in a three-dimensional model resource library, and generating a data list available for the digital museum; building a digital museum template at the front end, and displaying the model in a scene; and a unique access address is generated and returned to the user, and the user can access the digital museum through the address, visit the museum and know related information of the three-dimensional model. Through the steps, the dynamic digital museum can be quickly built, a large amount of editing time is shortened, and the working efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of cultural digital museums, and in particular to a method for dynamically building a digital museum based on artificial intelligence. Background Art

[0002] At the data resource level, a 3D model resource library needs to be built to store the name, cover image, 3D model data, classification, detailed introduction, etc. The display front end uses artificial intelligence technology to understand the content input by the user, filter the 3D model data and add it to the digital museum template, so as to dynamically build a digital museum that meets the needs of the user. For example, if the user enters "I want to know about Tang Dynasty porcelain", the system understands "Tang Dynasty" and "porcelain" and filters the corresponding 3D model resources to display in the digital museum. Users can click to browse the model data and detailed information.

[0003] Traditional 3D model resource libraries basically only store names, cover images, 3D model data, etc., lacking classification and detailed information of 3D models, and cannot be filtered from multiple dimensions. The system can only filter 3D model data through single or multiple selection capabilities, and cannot generate filtering conditions by understanding the user's natural language. Digital museums need to be built through manual configuration of data, which takes a long time to build and is costly.

[0004] Therefore, it is necessary to design a method for dynamically building a digital museum using artificial intelligence to solve the problems of lack of classification and detailed information of three-dimensional models, inability to screen from multiple dimensions, inability to generate screening conditions by understanding user natural language, long construction cycle and high cost. Summary of the invention

[0005] In view of this, the present invention proposes a coating control method and system based on micro-arc oxidation, which aims to solve the problems that the traditional three-dimensional model resource library lacks the classification and detailed information of the three-dimensional model, cannot be screened from multiple dimensions, cannot generate screening conditions by understanding the user's natural language, and has a long construction period and high cost.

[0006] The present invention proposes a method for building a digital museum based on artificial intelligence, comprising:

[0007] By using high-precision 3D scanning equipment for digital acquisition, accurate geometric shape and texture information are obtained. For large building objects, photogrammetry and modeling software are combined for reconstruction, and the data model is imported into the data processor to remove noise and erroneous data in the model, and the model is simplified and optimized while maintaining sufficient details;

[0008] Use MySQL database, create table structure in the database to store 3D model data, metadata and related information, set up and develop data management tools, use Web application to provide management interface, and create indexes;

[0009] According to the 3D model database, add attribute information of each dimension to the model to clarify the copyright ownership and usage rights of the model;

[0010] Build an artificial intelligence semantic understanding server, combine artificial intelligence technology, develop virtual tours and interactive functions, recognize natural language input by users, extract key words, search in the 3D model database, and sort by relevance, upload time, maintenance time, and information completeness to generate a list of data available for digital museums. Continuously optimize the models of natural language processing and computer vision core algorithms, and continuously improve the model's ability to understand complex semantics and the accuracy of processing various data through a large number of tests and verifications;

[0011] The front-end builds a digital museum template, creates multiple templates based on age, geographic location, and display format, and the template reads the data list and displays the model in the scene;

[0012] A unique access address is generated and fed back to the user, through which the user can visit the digital museum and learn about the information related to the three-dimensional model.

[0013] Furthermore, the data processor uses Meshlab data processing software to remove noise while maintaining the edge features of the model, comprehensively considers the spatial distance and geometric feature differences, and performs weighted averaging on the neighborhood points of each point, so that the neighborhood points with similar geometric features to the data point and closer distance have larger weights, thereby smoothing the noise while retaining the details and edge information of the model.

[0014] Furthermore, the erroneous data are removed according to the K-nearest neighbor distance method, and the average distance ΔL between each data point and its K nearest neighbors is set to a threshold L, L>0;

[0015] The distance is compared with the set threshold. If the distance is greater than the threshold, the data point is considered to be an outlier.

[0016] When ΔL≤L, the data point is considered to be a normal value;

[0017] When ΔL>L, the data point is considered an outlier and is removed.

[0018] Furthermore, during the development of the digital museum system, compatibility tests are conducted on different devices, browsers, and operating systems, and compatibility standards and specifications are established to ensure that the system can run normally on various mainstream platforms.

[0019] Furthermore, a system monitoring mechanism will be established to monitor the operating status of the digital museum system in real time, and a regular system maintenance plan will be formulated to check, update and optimize hardware equipment and software systems.

[0020] Furthermore, a strict access control mechanism is established to set different access rights for different user roles. Administrators can upload, modify and delete data, ordinary users can browse and query data, and visitors can only view part of the public data;

[0021] Use authentication and authorization technology to ensure that only legitimate users can access the digital museum system and log user operations.

[0022] Furthermore, a regular data backup plan should be developed to back up the 3D model data and metadata to a secure storage device or cloud service. The backup data should be stored in different geographical locations to prevent data loss due to natural disasters, hardware failures, or human errors.

[0023] Establish a data recovery mechanism to ensure that the system can be quickly restored in the event of data loss or damage. Backup data can be used for recovery, or data recovery software and tools can be used to repair data.

[0024] Furthermore, by combining virtual reality, augmented reality and mixed reality technologies, users can be provided with a richer multi-sensory interactive experience. Virtual reality technology allows users to visit virtual exhibition halls in an immersive way, and augmented reality technology provides enhanced information display when users visit physical cultural relics, thereby enhancing users' sense of reality and emotional resonance.

[0025] Furthermore, a user feedback mechanism will be introduced, and feedback portals will be set up on various pages of the digital museum to encourage users to provide opinions and suggestions on aspects such as visiting experience, model display effects, and virtual guide functions. The collected user feedback will be classified, organized and analyzed, and timely adjustments and optimizations will be made to address issues of concern to users, so as to continuously improve the service quality and user satisfaction of the digital museum.

[0026] Compared with the prior art, the beneficial effects of the present invention are: building an artificial intelligence semantic understanding server that can recognize the natural language input by the user and extract key words for retrieval. This allows users to quickly find the required three-dimensional models and related information by simply describing their needs in everyday language without having to master professional retrieval grammar, thereby improving the convenience of retrieval. In addition, the three-dimensional model data can be retrieved based on keywords, a data list can be generated, a digital museum can be built, and the editing complexity can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0028] Figure 1 A flowchart of a method for building a digital museum based on artificial intelligence provided by an embodiment of the present invention; DETAILED DESCRIPTION

[0029] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present application.

[0030] At the same time, it should be understood that for the convenience of description, the sizes of the various parts shown in the drawings are not drawn according to the actual proportional relationship.

[0031] The following description of at least one exemplary embodiment is merely illustrative in nature and is not intended to limit the present application, its application, or uses.

[0032] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered as part of the specification.

[0033] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0034] In addition, the technical solutions between the various embodiments of the present application can be combined with each other, but it must be based on the fact that ordinary technicians in the field can implement it. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such combination of technical solutions does not exist and is not within the scope of protection required by this application.

[0035] It should be noted that all directional indications in the embodiments of the present application (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0036] Combine the following Figure 1 To describe a method for building a digital museum based on artificial intelligence according to an exemplary embodiment of the present application. It should be noted that the following application scenarios are only shown to facilitate understanding of the spirit and principles of the present application, and the embodiments of the present application are not limited in this regard. On the contrary, the embodiments of the present application can be applied to any applicable scenario.

[0037] Reference Figure 1In some embodiments of the present application, a method for building a digital museum based on artificial intelligence includes:

[0038] By using high-precision 3D scanning equipment for digital acquisition, accurate geometric shape and texture information are obtained. For large building objects, photogrammetry and modeling software are combined for reconstruction, and the data model is imported into the data processor to remove noise and erroneous data in the model, and the model is simplified and optimized while maintaining sufficient details;

[0039] Use MySQL database, create table structure in the database to store 3D model data, metadata and related information, set up and develop data management tools, use Web application to provide management interface, and create indexes;

[0040] According to the 3D model database, add attribute information of each dimension to the model to clarify the copyright ownership and usage rights of the model;

[0041] Build an artificial intelligence semantic understanding server, combine artificial intelligence technology, develop virtual tours and interactive functions, recognize natural language input by users, extract key words, search in the 3D model database, and sort by relevance, upload time, maintenance time, and information completeness to generate a list of data available for digital museums. Continuously optimize the models of natural language processing and computer vision core algorithms, and continuously improve the model's ability to understand complex semantics and the accuracy of processing various data through a large number of tests and verifications;

[0042] The front-end builds a digital museum template, creates multiple templates based on age, geographic location, and display format, and the template reads the data list and displays the model in the scene;

[0043] A unique access address is generated and fed back to the user, through which the user can visit the digital museum and learn about the information related to the three-dimensional model.

[0044] Specifically, developing data management tools and providing a Web application management interface allow administrators to easily operate and maintain the database. At the same time, creating indexes can greatly improve the speed of data retrieval. Whether querying based on keywords, attribute information or other conditions, accurate results can be obtained in a short time. This provides users of digital museums with a convenient browsing and search experience.

[0045] Specifically, a unique access address is generated and fed back to the user, through which the user can access the digital museum without being restricted by time and space. This allows the audience to visit the digital museum anywhere there is an Internet connection, without having to visit the physical museum in person, greatly improving the accessibility and popularity of the museum.

[0046] It is understandable that building an artificial intelligence semantic understanding server can recognize the natural language input by users and extract key words for retrieval. This allows users to quickly find the required 3D models and related information by simply describing their needs in everyday language without having to master professional retrieval grammar. For example, users can enter "I want to see ceramic artifacts from the Tang Dynasty" and the system can accurately retrieve exhibits that meet the conditions. Retrieve 3D model data based on keywords, generate data lists, build digital museums, and reduce editing complexity.

[0047] Specifically, the data processor uses Meshlab data processing software to remove noise while maintaining the edge features of the model, comprehensively considers the spatial distance and geometric feature differences, and performs weighted averaging on the neighborhood points of each point, so that the neighborhood points with similar geometric features to the point and closer distance have larger weights, thereby smoothing the noise while retaining the details and edge information of the model.

[0048] It is understandable that the algorithm of weighted averaging the neighborhood points of each point is relatively simple and efficient, and can process a large number of data points in a short time. This is very important for large-scale 3D model data processing, which can improve the efficiency of data processing and reduce processing time. For example, for a large building model containing millions of data points, this algorithm can complete the tasks of noise removal and detail retention in a reasonable time, and improve the construction speed of digital museums.

[0049] Specifically, the erroneous data are removed according to the K-nearest neighbor distance method, and the average distance ΔL between each data point and its K nearest neighbors is set as the threshold L, L>0;

[0050] The distance is compared with the set threshold. If the distance is greater than the threshold, the point is considered an outlier.

[0051] When ΔL≤L, the point is considered to be a normal value;

[0052] When ΔL>L, the point is considered an outlier and is removed.

[0053] It is understandable that by setting the threshold, the parameters can be flexibly adjusted according to different data characteristics and requirements. The size of the threshold can be adjusted according to the distribution and noise level of the data to achieve the best outlier removal effect. For example, for data with large noise, the threshold can be appropriately lowered to improve the recognition rate of outliers; for data with small noise, the threshold can be appropriately increased to avoid misjudging normal data as outliers.

[0054] Specifically, adaptive threshold setting can be optimized according to the actual situation of the data to improve the effect of data processing. By continuously adjusting the threshold, the outlier removal strategy that best suits the current data can be found, making the processed data more accurate and reliable. For example, in the construction of a digital museum, the size of the threshold can be adjusted according to different types of cultural relics and architectural models to obtain the best display effect.

[0055] Specifically, during the development of the digital museum system, compatibility tests are conducted on different devices, browsers, and operating systems, and compatibility standards and specifications are established to ensure that the system can operate normally on various mainstream platforms.

[0056] Understandably, compatibility testing helps to achieve responsive design of digital museums, so that pages can automatically adjust layout and display effects according to the screen size and resolution of different devices. This ensures that users can get a good visual experience on different devices and can easily perform interactive operations such as clicking, zooming, and rotating 3D models.

[0057] Specifically, establish a system monitoring mechanism to monitor the operating status of the digital museum system in real time, and formulate regular system maintenance plans to check, update and optimize hardware equipment and software systems.

[0058] Specifically, by real-time monitoring of the operating status of the digital museum system, various potential problems such as excessive server load, abnormal network connection, software failure, etc. can be detected at the first time.

[0059] It is understandable that by regularly comparing performance data at different stages, it is possible to intuitively evaluate the effectiveness of the implementation of optimization measures, determine whether the expected goals have been achieved, and then continuously adjust the optimization direction to continuously improve the performance of the digital museum system and provide users with faster and smoother browsing and interactive experiences, such as faster loading of 3D model display pages and quicker responses to natural language queries.

[0060] Specifically, a strict access control mechanism is established to set different access rights for different user roles. Administrators can upload, modify and delete data, ordinary users can browse and query data, and visitors can only view some public data;

[0061] Use authentication and authorization technology to ensure that only legitimate users can access the digital museum system and log user operations.

[0062] It is understandable that by setting differentiated access rights for different user roles, it is possible to effectively prevent unauthorized users from performing improper operations on data. For example, ordinary users and visitors cannot modify or delete key information such as 3D model data and metadata in the digital museum at will. Only administrators with corresponding permissions can perform these operations, which greatly protects the integrity of the data and prevents data from being maliciously tampered with or damaged by misoperation.

[0063] Visitors are restricted to viewing only part of the public data, and sensitive information and core data are isolated from unauthorized users, ensuring the confidentiality of the data, preventing precious cultural relic model data, copyright information, and user privacy information from being leaked to irrelevant personnel, and maintaining the security of digital museum data assets.

[0064] Specifically, develop a regular data backup plan to back up 3D model data and metadata to secure storage devices or cloud services. The backup data should be stored in different geographical locations to prevent data loss due to natural disasters, hardware failures, or human errors.

[0065] Establish a data recovery mechanism to ensure that the system can be quickly restored in the event of data loss or damage. Backup data can be used for recovery, or data recovery software and tools can be used to repair data.

[0066] It is understandable that the establishment of a data recovery mechanism enables the digital museum to quickly start the recovery process in the event of data loss or damage, and use backup data or data recovery software and tools to restore the system to normal operation as soon as possible. This can minimize the service interruption time caused by data problems, avoid long-term impact on users' normal access and use, ensure that the digital museum's business can continue, and maintain its service stability and reliability image among the user community. For example, if some metadata in the database is damaged due to software failure, the pre-established recovery mechanism can quickly extract the corresponding data from the backup for replacement and repair, so that virtual tours, model retrieval and other functions can be restored to normal in a short time, so that users can hardly feel the impact of service interruptions.

[0067] Specifically, by combining virtual reality, augmented reality and mixed reality technologies, users are provided with a richer multi-sensory interactive experience. Virtual reality technology allows users to visit virtual exhibition halls in an immersive way, and augmented reality technology provides enhanced information display when users visit physical cultural relics, thereby enhancing users' sense of reality and emotional resonance.

[0068] It is understandable that the novel and interesting visiting experience brought by VR and AR technology can greatly stimulate users, especially young people's interest in learning history, culture and museum content. The cultural relics knowledge that may have been boring in the past becomes attractive in an immersive and interactive environment, prompting them to actively explore more relevant content, further broaden their knowledge, cultivate a love for history and culture, better play the educational function of digital museums, and allow cultural heritage to continue among a wider group of people.

[0069] Specifically, a user feedback mechanism will be introduced, and feedback portals will be set up on various pages of the digital museum to encourage users to provide opinions and suggestions on aspects such as visiting experience, model display effects, and virtual guide functions. The collected user feedback will be classified, organized and analyzed, and timely adjustments and optimizations will be made to address issues of concern to users, so as to continuously improve the service quality and user satisfaction of the digital museum.

[0070] It is understandable that by setting up feedback portals on each page, we can widely collect problems encountered by users in different functional modules and different usage scenarios. For example, some users may feel that certain operations in the virtual tour function are not convenient enough, and some may think that the model display effect is not clear enough on specific devices. After classifying and analyzing these specific and diverse feedbacks, the operation team can accurately locate the specific links that need to be improved and take corresponding optimization measures in a timely manner, so as to effectively solve user pain points and enhance the user's actual experience during the digital museum visit.

[0071] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

[0072] It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims

1. A method for building a digital museum based on artificial intelligence, characterized in that: include: By using high-precision 3D scanning equipment for digital acquisition, accurate geometric shape and texture information are obtained. For large building objects, photogrammetry and modeling software are combined for reconstruction, and the data model is imported into the data processor to remove noise and erroneous data in the model, and the model is simplified and optimized while maintaining sufficient details; Use MySQL database, create table structure in the database to store 3D model data, metadata and related information, set up and develop data management tools, use Web application to provide management interface, and create indexes; According to the 3D model database, add attribute information of each dimension to the model to clarify the copyright ownership and usage rights of the model; Build an artificial intelligence semantic understanding server, combine artificial intelligence technology, develop virtual tours and interactive functions, recognize natural language input by users, extract key words, search in the 3D model database, and sort by relevance, upload time, maintenance time, and information completeness to generate a list of data available for digital museums. Continuously optimize the models of natural language processing and computer vision core algorithms, and continuously improve the model's ability to understand complex semantics and the accuracy of processing various data through a large number of tests and verifications; The front-end builds a digital museum template, creates multiple templates based on age, geographic location, and display format, and the template reads the data list and displays the model in the scene; A unique access address is generated and fed back to the user, through which the user can visit the digital museum and learn about the information related to the three-dimensional model.

2. The method for building a digital museum based on artificial intelligence according to claim 1, characterized in that: The data processor uses Meshlab data processing software to remove noise while maintaining the edge features of the model, comprehensively considers the spatial distance and geometric feature differences, and performs weighted averaging on the neighborhood points of each data point, so that the neighborhood points with similar geometric features to the data point and closer distance have larger weights, thereby smoothing the noise while retaining the details and edge information of the model.

3. The method for building a digital museum based on artificial intelligence according to claim 1, characterized in that: For erroneous data, the K-nearest neighbor distance method is used to remove the average distance ΔL between each data point and its K nearest neighbors, and the threshold L is set, L>0; The distance is compared with the set threshold. If the distance is greater than the threshold, the data point is considered to be an outlier. When ΔL≤L, the data point is considered to be a normal value; When ΔL>L, the data point is considered an outlier and is removed.

4. The method for building a digital museum based on artificial intelligence according to claim 1, characterized in that: During the development of the digital museum system, compatibility tests are conducted on different devices, browsers, and operating systems, and compatibility standards and specifications are established to ensure that the system can operate normally on various mainstream platforms.

5. The method for building a digital museum based on artificial intelligence according to claim 1, characterized in that: Establish a system monitoring mechanism to monitor the operating status of the digital museum system in real time, and formulate regular system maintenance plans to check, update and optimize hardware equipment and software systems.

6. The method for building a digital museum based on artificial intelligence according to claim 1, characterized in that: Establish a strict access control mechanism and set different access rights for different user roles; administrators can upload, modify and delete data, ordinary users can browse and query data, and visitors can only view some public data; Use authentication and authorization technology to ensure that only legitimate users can access the digital museum system and log user operations.

7. The method for building a digital museum based on artificial intelligence according to claim 1, characterized in that: Develop a regular data backup plan to back up 3D model data and metadata to secure storage devices or cloud services. The backup data should be stored in different geographical locations to prevent data loss due to natural disasters, hardware failures, or human errors; Establish a data recovery mechanism to ensure that the system can be quickly restored in the event of data loss or damage. Backup data can be used for recovery, or data recovery software and tools can be used to repair data.

8. The method for building a digital museum based on artificial intelligence according to claim 1, characterized in that: Combining virtual reality, augmented reality and mixed reality technologies, it provides users with a richer multi-sensory interactive experience. Virtual reality technology allows users to visit virtual exhibition halls in an immersive way, and augmented reality technology provides enhanced information display when users visit physical cultural relics, thereby enhancing users' sense of reality and emotional resonance.

9. The method for building a digital museum based on artificial intelligence according to claim 1, characterized in that: A user feedback mechanism is introduced, and feedback portals are set up on various pages of the digital museum to encourage users to provide opinions and suggestions on aspects such as visiting experience, model display effects, and virtual guide functions. The collected user feedback will be classified, organized and analyzed, and timely adjustments and optimizations will be made to address issues of concern to users, so as to continuously improve the service quality and user satisfaction of the digital museum.

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