Household intelligent scientific station based on digital human system

Abstract

The invention relates to the technical field of intelligent desks, and discloses a household intelligent scientific station based on a digital human system, the household intelligent scientific station comprises a household laboratory desk body, the upper surface of the household laboratory desk body is fixedly connected with a toolbar module, and the upper surface of the household laboratory desk body is fixedly connected with a supporting back plate; the toolbar modules are distributed on the left side and the right side of the supporting back plate, a back plate screen is arranged in the middle of the supporting back plate, a digital person teacher is arranged in the back plate screen, an experiment system is arranged in the second storage group, and the digital person teacher is used for all-around personalized teaching and supporting comprehensive development of students. And the course system is used for cultivating comprehensive scientific literacy of the students. The school class content of the students is joined; a large number of interesting interactive activities and learning games are provided for automatic function courses such as lifting of main body components and LED light schematic, and behaviors such as team formation and PK increasing fun and learning motivation are carried out with other students through network bridging.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent desks, in particular to a family intelligent science station based on a digital human system. Background Art

[0002] "Home Smart Science Station" generally refers to a home environment that integrates a variety of smart technologies and devices to improve the technology, intelligence and convenience of family life. This system is often composed of smart home, environmental monitoring, health monitoring, home automation and other aspects. The purpose is to improve the quality of life, energy conservation and emission reduction, improve safety and facilitate the daily life of family members through scientific and technological means.

[0003] The Family Smart Science Station based on the Digital Human System is an innovative application that combines Digital Human technology with the smart home system, aiming to provide convenient and efficient life services for family members through digital and intelligent means. This system combines artificial intelligence, the Internet of Things and virtual character technology to provide users with an intelligent, personalized and highly interactive home environment.

[0004] In the prior art, commonly used home smart science stations are generally not highly integrated, with only a desk and a computer. As a result, when in use, they are not fully adapted to the compulsory education textbooks and the content of cutting-edge science education. Some desks are not highly automated, and there is no network-based team learning, so that students cannot communicate and learn directly with each other, resulting in the inability to share information and students cannot directly find a better way to learn. Summary of the invention

[0005] In view of the shortcomings of the existing technology, the present invention provides a home smart science station based on the digital human system to solve the problems of low integration, only one table and one computer, no complete adaptation of compulsory education textbooks and cutting-edge scientific education content, low degree of desk automation and no network-based team learning with others.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a home smart science station based on a digital human system, comprising a home laboratory table, a toolbar module is fixedly connected to the upper surface of the home laboratory table, a support back panel is fixedly connected to the upper surface of the home laboratory table, a plurality of groups of toolbar modules are arranged and distributed on the left and right sides of the support back panel, a back panel screen is arranged in the middle of the support back panel, a desktop screen is arranged in the middle of the home laboratory table, a digital human teacher is arranged inside the back panel screen, a course system is arranged inside the back panel screen, a first storage group is fixedly arranged on the left lower surface of the home laboratory table, a second storage group is fixedly arranged on the right lower surface of the home laboratory table, a science course parts box is arranged inside the first storage group, the science course parts box is used to give the home laboratory table a role of diversified learning themes, an experimental system is arranged inside the second storage group, the experimental system is used to give the home laboratory a role of a systematic original science laboratory supporting scientific and educational courses, the digital human teacher is used for all-round personalized teaching and supporting students' comprehensive development, and the course system is used to cultivate students' comprehensive scientific literacy.

[0007] Preferably, the family smart science station based on the Digital Human system also includes: Learning interaction module, toolbar indicator module, multi-interface expansion module, digital human teaching module, AI recognition module, data management module, AI learning path planning module and network interaction module; The learning interaction module is used to present course content, digital human images, record notes, and support handwriting, drawing, and experimental operations through interactive devices; The toolbar indicator module is used to automatically light up the corresponding tool position according to the course requirements. The tool position is used to improve the learning and practical experience. Multi-interface expansion modules are used to connect external devices and expand functions; The digital human teaching module is used to provide real-time feedback and guidance to the character through voice, expression and screen prompts; The AI ​​recognition module is used to monitor students’ emotional changes using cameras and provide personalized learning suggestions; The data management module is used to synchronize local storage with the cloud to ensure data security and real-time backup; The AI ​​learning path planning module is used to generate personalized learning paths for students based on learning data analysis; The online interactive module is used to provide students with an online social and collaborative learning platform, which enables real-time voice and video communication and learning among students, and students can share learning insights, resources and experiences.

[0008] Preferably, the learning interaction module includes a content display unit, an operation interaction unit and a learning record unit. The content display unit is responsible for displaying the course content and the information of the digital human image on the dual-screen display module. The operation interaction unit is used to process the students' handwriting, drawing and experimental operation input on the dual screens. The learning record unit is used to record the students' learning process and results, and the learning process and results include notes, learning results, summaries and post-learning reflections, as well as learning feedback records. The interactive device includes a dual-screen display module, and the dual-screen display module is composed of a back panel screen and a desktop screen. The learning feedback is used for the digital human to analyze the data of the students' classes and compare them with previous data, to give feedback on the students' performance, and to provide students with suggestions and plans.

[0009] Preferably, the toolbar indicator light module includes a course monitoring unit, an indicator light control unit and an effect evaluation unit. The course monitoring unit is used to monitor the progress and needs of the course in real time, the indicator light control unit is used to control the lighting position and status of the indicator light, the effect evaluation unit is used to evaluate the effect of the indicator light on learning and practice, and the toolbar system is used to light up the indicator lights at corresponding positions according to the course scene, thereby improving learning efficiency.

[0010] Preferably, the multi-interface expansion module includes a connection unit, a power management unit and a hardware expansion adapter unit. The connection unit is used for device connection and data transmission, the power management unit is used to ensure stable power supply and power distribution of the power interface, and the hardware expansion adapter unit is used for compatibility of the hardware expansion interface with external devices. The multi-interface includes USB, power interface and hardware expansion.

[0011] Preferably, the digital human teaching module includes a voice output unit, an expression presentation unit and a role switching unit. The voice output unit is used to generate voice feedback and guidance of the digital human. The expression presentation unit is used to display various expressions of the digital human. The role switching unit is used to switch between roles such as teacher, companion, learning assistant, etc. according to student needs. The roles include teacher, companion or learning assistant. The digital human is used to guide students to complete tasks, provide feedback immediately, and motivate students to perform the next step.

[0012] Preferably, the AI ​​recognition module includes an image acquisition unit, an emotion analysis unit, a suggestion generation unit, a light detection unit and a health display unit. The image acquisition unit is used to obtain image data of students through a camera. The emotion analysis unit is used to analyze and judge the emotional characteristics of the acquired images. The suggestion generation unit is used to generate personalized learning suggestions based on the emotion analysis results. The learning suggestions are used to improve students' concentration. The light detection unit is used to identify the surrounding light and adjust the brightness of the light source. The health display unit is used for AI to identify students' study time and assist students in healthy learning.

[0013] Preferably, the data management module includes a local data storage unit, a cloud data synchronization unit and a data security protection unit. The local data storage unit is responsible for storing data in a local storage device, the cloud data synchronization unit is used to achieve synchronous updating of local data and the cloud, and the data security protection unit is used to ensure the security and integrity of the data. The data is used to analyze students' learning direction and data synchronization ensures the integrity of learning progress, and supports data sharing among multiple devices.

[0014] Preferably, the AI ​​learning path planning module includes a data collection unit, an algorithm execution unit, a path adjustment unit and an evaluation and monitoring unit. The data collection unit is used to collect students' learning behavior and performance data. The algorithm execution unit is used to calculate and plan the learning path using the AI ​​algorithm. The path adjustment unit is used to dynamically adjust the learning path according to the students' learning progress. The AI ​​algorithm is used to dynamically adjust the learning path according to the students' performance to improve learning efficiency. The evaluation and monitoring unit is used to observe the students' learning progress and conduct evaluation and feedback. The observation methods include AI intelligent observation, parent supervision, teacher assistance and government control. The evaluation and feedback include digital human evaluation and optimization, student evaluation and suggestions, course evaluation and optimization and parent-teacher evaluation.

[0015] Preferably, the network interaction module includes a network connection guarantee unit, a communication interaction unit, a resource sharing unit and a virtual interaction unit. The network connection guarantee unit is used for network connection between students during learning. The communication interaction unit is used to support real-time voice, video communication and text message transmission. The resource sharing unit is used to realize the sharing and dissemination of learning experience, resources and experience. The virtual interaction unit is used to enter the virtual network through an immersive smart display device, and is used for interaction and learning in the virtual network. The smart display device includes one of VR, AR or MR.

[0016] The present invention provides a home smart science station based on the digital human system. It has the following beneficial effects: 1. The present invention integrates all the physical supplies used for science and basic education into one table through high integration and adopts a modular theme replaceable design, which is fully adapted to compulsory education and connected with the content of students' school classes; the systematic design of the cutting-edge science and education content table adopts digital human control, and fully realizes the main parts can be raised and lowered, automatically turned on, LED light indication and other automated functions. The course provides a large number of interesting interactive activities and learning games, and through network bridging, team formation and PK with other students can be carried out to increase fun and learning motivation.

[0017] 2. The present invention cultivates students' comprehensive scientific literacy through the all-round personalized teaching and supervision of digital human teachers and the construction of the knowledge system by the curriculum system. The learning interaction module supports a variety of interactive forms of content display, operation interaction, recording of learning process, etc., and the toolbar indicator module automatically lights up the corresponding tool position according to course requirements, which improves learning efficiency.

[0018] 3. The online social and collaborative learning platform provided by the network interactive module of the present invention supports real-time voice, video communication and resource sharing, and the recording and display of students' learning operations in the learning interactive module, which enhances students' communication and collaboration capabilities. It connects external devices to expand functions, ensures connection, power management, hardware adaptation, and the coordination between various functional modules through a multi-interface expansion module, which makes the science station adaptable to a variety of learning scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A three-dimensional diagram of a home smart science station based on a digital human system according to the present invention; Figure 2 This is a system architecture diagram of the home smart science station based on the digital human system of the present invention; Figure 3 This is a diagram of the learning interaction module architecture of the family smart science station based on the digital human system of the present invention; Figure 4 This is a diagram of the toolbar indicator light module architecture of the home smart science station based on the digital human system of the present invention; Figure 5 This is a multi-interface expansion module architecture diagram of the home smart science station based on the digital human system of the present invention; Figure 6 This is a diagram of the architecture of the Digital Human teaching module of the family smart science station based on the Digital Human system of the present invention; Figure 7 This is an architecture diagram of the AI ​​recognition module of the home smart science station based on the digital human system of the present invention; Figure 8 This is a data management module architecture diagram of the family smart science station based on the Digital Human system of the present invention; Fig. 9 This is an architecture diagram of the AI ​​learning path planning module of the home smart science station based on the digital human system of the present invention; Fig.10 This is a network interaction module architecture diagram of the home smart science station based on the Digital Human system of the present invention.

[0020] Among them, 1. Home laboratory table; 2. Toolbar module; 3. Back panel screen; 4. Desktop screen; 5. First storage group; 6. Second storage group; 7. Support back panel. DETAILED DESCRIPTION

[0021] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0022] Example: Please see attached Figure 1 The embodiment of the present invention provides a home smart science station based on a digital human system, including a home laboratory table 1, a toolbar module 2 is fixedly connected to the upper surface of the home laboratory table 1, a support back panel 7 is fixedly connected to the upper surface of the home laboratory table 1, a plurality of toolbar modules 2 are arranged and distributed on the left and right sides of the support back panel 7, a back panel screen 3 is arranged in the middle of the support back panel 7, a desktop screen 4 is arranged in the middle of the home laboratory table 1, a digital human teacher is arranged inside the back panel screen 3, a course system is arranged inside the back panel screen 3, a first storage group 5 is fixedly arranged on the lower left surface of the home laboratory table 1, a second storage group 6 is fixedly arranged on the lower right surface of the home laboratory table 1, a science course parts box is arranged inside the first storage group 5, the science course parts box is used to give the home laboratory table 1 a role of diversified learning themes, an experimental system is arranged inside the second storage group 6, the experimental system is used to give the home laboratory a role of a systematic original science laboratory supporting scientific and educational courses, the digital human teacher is used for all-round personalized teaching and supporting students' comprehensive development, and the course system is used to cultivate students' comprehensive scientific literacy.

[0023] Specifically, the home laboratory table 1 is used to place various learning supplies when in use. During the use process, students can select different learning projects to learn through the back panel screen 3 and the desktop screen 4 according to their learning needs, and supervise and guide their learning through the digital human teacher built into the back panel screen 3. In the process of use, the digital human role can be switched according to the course content and student needs, such as teacher, companion or learning assistant. The digital human adjusts the course progress in real time and improves the learning experience through voice, visual and tactile feedback, thereby ensuring the seamless interaction between the digital human and the dual-screen touch hardware during use, realizing the dynamic switching of course content and teaching scenes, and the system supports the flexible switching of multiple roles, and ensures the smooth connection between different subject tasks. The toolbar modules 2 on both sides are not only baffles, but can also provide students with a good learning environment, intercept and block some external factors, improve students' concentration, and avoid students from being distracted or distracted due to external factors during the learning process, thereby improving learning efficiency. During use, according to the different course systems selected by students, the toolbar system will light up the indicator lights at the corresponding positions according to the course scenes, improving learning efficiency. After the digital human guides students to complete the task, it will immediately provide feedback and encourage students to proceed to the next step. Ensure the synchronization and accuracy between the lighting of the toolbar indicator and the course requirements. Digital humans can flexibly call on hardware resources to ensure the consistency and stability of the interaction; During use, the integrated hardware and software data synchronization and AI learning path optimization system supports local data storage and cloud synchronization to achieve real-time data feedback during the learning process. Through AI algorithms, students' learning behaviors are analyzed, personalized learning paths are generated, and learning suggestions are provided to help students continuously improve their learning results. Data synchronization ensures the integrity of learning progress and supports data sharing between multiple devices. The AI ​​algorithm dynamically adjusts the learning path according to students' performance to improve learning efficiency. The data synchronization system must ensure stability and security, and support local storage and cloud backup. The AI ​​learning path planning system must have the ability to dynamically adjust, continuously optimize the learning plan according to students' progress and needs, and can be opened according to course adaptation through the first storage group 5 and the second storage group 6 below when in use, so as to improve students' practice and learning effects, and help students further understand and learn. In the process of use, it is not only highly integrated, but also integrates all the physical supplies used in science and basic education into a table and carries out modular theme replaceable design. In the practical process, students can choose to conduct practical operations for scientific classes, and follow the basic education while manually increasing practical experience. It is also fully adapted to compulsory education and connected with students' school class content; scientific education cooperates with the country's top expert laboratories to design systematic cutting-edge scientific and educational content. The table is also controlled by a digital human, and the main parts can be raised and lowered, automatically opened, and LED light signals are fully realized. The course provides a large number of interesting interactive activities and learning games, and through network bridging, you can team up with other students, PK, and other behaviors to increase fun and learning motivation.

[0024] Please see attached Figure 2 -Attached Fig.10 , the family smart science station based on the digital human system also includes: Learning interaction module, toolbar indicator module, multi-interface expansion module, digital human teaching module, AI recognition module, data management module, AI learning path planning module and network interaction module; The learning interaction module is used to present course content, digital human images, record notes, and support handwriting, drawing, and experimental operations through interactive devices; The toolbar indicator module is used to automatically light up the corresponding tool position according to the course requirements. The tool position is used to improve the learning and practical experience. Multi-interface expansion modules are used to connect external devices and expand functions; The digital human teaching module is used to provide real-time feedback and guidance to the character through voice, expression and screen prompts; The AI ​​recognition module is used to monitor students’ emotional changes using cameras and provide personalized learning suggestions; The data management module is used to synchronize local storage with the cloud to ensure data security and real-time backup; The AI ​​learning path planning module is used to generate personalized learning paths for students based on learning data analysis; The online interactive module is used to provide students with an online social and collaborative learning platform, which enables real-time voice and video communication and learning among students, and students can share learning insights, resources and experiences.

[0025] The learning interaction module includes a content display unit, an operation interaction unit and a learning record unit. The content display unit is responsible for displaying the course content and the information of the digital human image on the dual-screen display module. The operation interaction unit is used to process the students' handwriting, drawing and experimental operation input on the dual screens. The learning record unit is used to record the students' learning process and results. The learning process and results include notes, learning results, summaries and post-learning reflections, as well as learning feedback records. The interactive device includes a dual-screen display module, which is composed of a back panel screen 3 and a desktop screen 4. The learning feedback is used for the digital human to analyze the data of the students' classes and compare them with previous data to provide feedback on the students' performance, thereby providing suggestions and plans for the students.

[0026] Specifically, the content display unit presents the rich and diverse course content and the vivid digital human image on the dual-screen display module in a clear and accurate manner, providing students with intuitive visual information. It can attract students' attention, help them quickly understand the key points of the course, and enhance their interest and enthusiasm in learning; The operation interaction unit receives and processes students' handwriting, drawing, experimental operation and other input actions on the dual screens in real time, enabling students to interact directly with the learning content. It allows students to personally experience and practice what they have learned, improve their hands-on ability and active thinking, and deepen their understanding and memory of knowledge; The learning record unit comprehensively and meticulously records students' various performances in the learning process, including but not limited to notes, learning outcomes, summaries and post-learning reflections, etc., providing students with a basis for self-reflection and growth, and facilitating teachers and parents to understand students' learning situation, so as to formulate more targeted teaching and tutoring plans. The learning interaction module uses three major units: content display, operation interaction and learning record, combined with dual-screen display devices, to enhance the immersion, participation and learning outcomes management in the interaction between basic education and scientific education, and realize a closed-loop education experience of "teaching, learning, evaluation and practice".

[0027] The toolbar indicator light module includes a course monitoring unit, an indicator light control unit and an effect evaluation unit. The course monitoring unit is used to monitor the progress and needs of the course in real time. The indicator light control unit is used to control the lighting position and status of the indicator lights. The effect evaluation unit is used to evaluate the effect of the indicator lights on learning and practice. The toolbar system is used to light up the indicator lights at corresponding positions according to the course scenario, thereby improving learning efficiency.

[0028] Specifically, the course monitoring unit continuously and accurately tracks the progress of the course, including the teaching steps and the progress of knowledge points, and at the same time keenly captures the immediate needs of students in the learning process. It can promptly discover the nodes in the course that require auxiliary tools, provide the prerequisite for the accurate response of the indicator light, and ensure that the control of the indicator light is closely matched with the actual needs of the course; The indicator light control unit accurately determines the lighting position, brightness, color, and flashing state of the indicator light based on the information obtained by the course monitoring unit. It clearly and unambiguously indicates to students the location of the required tools, reduces the time students spend looking for tools, improves the efficiency of learning and practice, and avoids interruptions to learning or progress caused by untimely acquisition of tools; The effect evaluation unit collects and analyzes students' learning behavior data, learning outcome data, learning time and other multi-dimensional information after using the indicator light to conduct quantitative and qualitative evaluation of the actual effect of the indicator light in improving learning and practice efficiency. It can discover the shortcomings and advantages of the indicator light system, provide a basis for optimizing the setting and control strategy of the indicator light, and continuously enhance the positive role of the indicator light in learning and practice, making the toolbar indicator light module more intelligent, efficient and practical. The toolbar indicator light module uses the course monitoring unit, the indicator light control unit and the effect evaluation unit, combined with the course scene to light up the position and status of the indicator light in real time, dynamically feedback the course progress and needs, and evaluate its auxiliary effect on learning and practice, thereby effectively improving learning efficiency and practical participation.

[0029] The multi-interface expansion module includes a connection unit, a power management unit and a hardware expansion adapter unit. The connection unit is used for device connection and data transmission. The power management unit is used to ensure stable power supply and power distribution of the power interface. The hardware expansion adapter unit is used for compatibility between the hardware expansion interface and external devices. The multiple interfaces include USB, power interface and hardware expansion.

[0030] Specifically, the connection unit establishes physical connections between different devices and is responsible for the transmission and interaction of data in these connection channels. It realizes seamless communication between various external devices and the main device, enables data to flow quickly and accurately between different devices, and expands the functions and application scenarios of the devices; The power management unit effectively manages and regulates the power input from the power interface, ensures stable voltage output, and reasonably allocates power resources to various components and external devices. It ensures that the equipment and external devices can obtain continuous, stable and appropriate power supply when working, avoids equipment failure or performance degradation caused by voltage fluctuations or insufficient power supply, and improves the reliability and stability of the system; The hardware expansion adapter unit detects and identifies the characteristics and requirements of external hardware devices, and adjusts the parameters and working modes of the hardware expansion interface to achieve perfect compatibility and collaborative work with external devices. It can enable various external devices to connect smoothly with the main device and work normally, give full play to the functions of external devices, provide strong support for device upgrades and function expansions, and improve the flexibility and adaptability of the device.

[0031] The digital human teaching module includes a voice output unit, an expression presentation unit and a role switching unit. The voice output unit is used to generate voice feedback and guidance for the digital human. The expression presentation unit is used to display various expressions of the digital human. The role switching unit is used to switch between roles such as teacher, companion, learning assistant, etc. according to student needs. The roles include teacher, companion or learning assistant. The digital human is used to provide feedback immediately after guiding students to complete the task and motivate students to take the next step.

[0032] Specifically, the voice output unit converts the information that the digital human wants to convey into clear and natural voice, including explaining the teaching content, asking students questions, answering students' questions, and giving encouragement and guidance, etc. Through vivid voice communication, it enhances the interactivity with students, making it easier for students to understand and accept the knowledge and instructions conveyed by the digital human, and improving the learning effect; The expression presentation unit generates and displays rich and realistic expressions, such as smiles, encouragement, doubts, etc., according to the different emotions and expression intentions of the digital human. This makes the image of the digital human more vivid and humane, enhances students' closeness and trust in the digital human, and improves the emotional experience in the learning process; The role switching unit flexibly changes the role setting of the digital human according to the students' learning stage, learning needs and psychological state. Switching between teachers, companions and learning assistants can meet the diverse needs of students in different learning situations, provide targeted support and help, enable the digital human to better adapt to the students' learning rhythm and style, and stimulate students' learning motivation and enthusiasm. The digital human teaching module dynamically switches between the roles of teachers, companions and learning assistants through voice output, expression presentation and role switching units, and guides, feedbacks and motivates students in real time. It is suitable for task completion and continuous learning motivation improvement in basic education and scientific and educational interaction scenarios.

[0033] The AI ​​recognition module includes an image acquisition unit, an emotion analysis unit, a suggestion generation unit, a light detection unit and a health display unit. The image acquisition unit is used to obtain students' image data through a camera. The emotion analysis unit is used to analyze and judge the emotional characteristics of the acquired images. The suggestion generation unit is used to generate personalized learning suggestions based on the emotion analysis results. The learning suggestions are used to improve students' concentration. The light detection unit is used to identify the surrounding light and adjust the brightness of the light source. The health display unit uses AI to identify students' study time and assist students in healthy learning.

[0034] Specifically, the image acquisition unit uses cameras and other equipment to obtain facial images of students during the learning process at a certain frame rate and resolution to ensure the clarity and integrity of the images. Providing sufficient and accurate raw data for subsequent sentiment analysis is the basis of the entire AI recognition process; The emotion analysis unit uses advanced image processing and pattern recognition technology to conduct in-depth analysis of the collected image data and extract features that can reflect the student's emotional state, such as subtle changes in facial expressions and eye focus. It can accurately judge the student's current emotional state, such as happiness, frustration, concentration, distraction, etc., and provide a key basis for generating personalized learning suggestions; The suggestion generation unit formulates targeted learning suggestions based on the results obtained by the emotion analysis unit and the students' learning situation and characteristics, such as adjusting the difficulty of learning content, changing teaching methods, and arranging appropriate rest time. By providing personalized guidance, it helps students better adjust their learning status, improve their concentration and learning efficiency, and promote the formation of a positive learning attitude and good learning habits. The AI ​​recognition module obtains student image data in real time through image acquisition, emotion analysis, suggestion generation, light detection and health display units, analyzes emotional characteristics to generate personalized learning suggestions, adjusts the brightness of the light source and monitors the learning time, and improves concentration and healthy learning experience.

[0035] The data management module includes a local data storage unit, a cloud data synchronization unit and a data security protection unit. The local data storage unit is responsible for storing data in the local storage device, the cloud data synchronization unit is used to achieve synchronous update of local data and the cloud, and the data security protection unit is used to ensure the security and integrity of the data. The data is used to analyze the students' learning direction and data synchronization ensures the integrity of the learning progress, and supports data sharing between multiple devices.

[0036] Specifically, the local data storage unit creates and maintains data storage areas on local storage devices such as hard disks and solid-state drives, and classifies, organizes and saves the collected student learning-related data to ensure that the data can be quickly accessed and read locally. Even in the absence of a network connection, it can provide data support for local learning analysis and applications, while reducing dependence on the cloud and improving the stability and reliability of data access; The cloud data synchronization unit establishes a communication connection between local data and the cloud server, uploads the updated local data to the cloud according to the set rules and time intervals, and obtains the latest data from the cloud to update the local. It realizes seamless sharing and synchronization of data between different devices and platforms, ensuring that students can obtain the latest and complete learning data on any device, making it convenient for parents and teachers to understand students' learning progress and situation anytime and anywhere, and also provides guarantee for data backup and recovery; The data security protection unit provides all-round protection for data in storage and transmission by adopting encryption technology, access control strategies, data backup and recovery mechanisms, and prevention of network attacks. It effectively prevents data leakage, tampering, and loss, protects students' personal privacy and the security of learning data, enhances users' trust in the system, and ensures the compliance and stability of data management. The data management module achieves synchronous updates between local and cloud data through local data storage, cloud data synchronization, and data security protection units, ensures data security and integrity, supports sharing between multiple devices, helps analyze students' learning direction, and ensures the integrity of learning progress.

[0037] The AI ​​learning path planning module includes a data collection unit, an algorithm execution unit, a path adjustment unit and an evaluation and monitoring unit. The data collection unit is used to collect students' learning behavior and performance data. The algorithm execution unit is used to calculate and plan the learning path using the AI ​​algorithm. The path adjustment unit is used to dynamically adjust the learning path according to the students' learning progress. The AI ​​algorithm is used to dynamically adjust the learning path according to the students' performance to improve learning efficiency. The evaluation and monitoring unit is used to observe the students' learning progress and conduct evaluation and feedback. The observation methods include AI intelligent observation, parent supervision, teacher assistance and government control. The evaluation and feedback include digital human evaluation and optimization, student evaluation and suggestions, course evaluation and optimization and parent-teacher evaluation.

[0038] Specifically, the data collection unit uses various sensors, monitoring tools and interfaces to comprehensively and meticulously collect various behaviors and performance data of students during the learning process, including but not limited to learning time, correct answer rate, learning module selection preferences, number of repeated learning times, etc. This provides a rich data foundation for subsequent learning path planning and adjustment, ensuring the accuracy and pertinence of planning; The algorithm execution unit uses advanced artificial intelligence algorithms to deeply analyze and process the collected data, and calculates the initial learning path that best suits the student's current state based on the preset models and rules. It can quickly generate a scientific and reasonable learning route, fully considering the student's knowledge level, learning ability and interest characteristics, and improve learning efficiency and effectiveness; The path adjustment unit tracks students' learning progress in real time, compares the actual learning results with the expected goals, and dynamically optimizes and adjusts the planned learning paths according to these changes. Ensure that the learning path always matches the student's latest learning status, correct deviations in a timely manner, adapt to the student's learning rhythm and ability changes, make the learning process more flexible and personalized, and maximize students' learning efficiency and results. The AI ​​learning path planning module uses data collection, algorithm execution, path adjustment, and evaluation and monitoring units to dynamically plan and adjust learning paths based on student performance using AI algorithms, and conduct multi-dimensional evaluation and feedback through intelligent observation, parent supervision, teacher assistance, and government control to improve learning efficiency and optimize the learning experience.

[0039] The network interaction module includes a network connection guarantee unit, a communication interaction unit, a resource sharing unit and a virtual interaction unit. The network connection guarantee unit is used for network connection between students when learning. The communication interaction unit is used to support real-time voice, video communication and text message transmission. The resource sharing unit is used to realize the sharing and dissemination of learning experience, resources and experience. The virtual interaction unit is used to enter the virtual network through an immersive smart display device, and is used for interaction and learning in the virtual network. The smart display device includes one of VR, AR or MR.

[0040] Specifically, the network connection assurance unit continuously monitors the network status, optimizes network parameters, and solves problems such as network congestion, delay, and packet loss to ensure that students have a stable, high-speed network connection when conducting online interactive learning. It provides a solid network foundation for smooth communication between students, avoids communication interruptions, freezes, or delays caused by network problems, and improves the continuity and stability of the learning experience; The communication and interaction unit integrates and manages the functions of real-time voice, video communication and text messaging, providing clear audio and video transmission, as well as convenient text input and display interfaces. It enables students to communicate instantly and efficiently in a variety of ways, making it convenient for them to discuss problems, share ideas and collaborate at any time during the learning process, thus enhancing the interactivity and fun of learning; The resource sharing unit builds a platform for uploading, downloading and distributing resources, classifies, organizes and stores learning experiences, resource documents, courseware, materials and experiences, and provides convenient search and access functions. It promotes knowledge sharing and experience exchange among students, enriches the sources and types of learning resources, helps students broaden their horizons, obtain more valuable learning content, and improve learning effects and comprehensive qualities. The network interaction module supports real-time voice and video communication and resource sharing among students through network connection guarantee, communication interaction, resource sharing and virtual interaction units, and realizes immersive interaction and learning in the virtual network with the help of VR, AR or MR smart display devices, enhancing learning experience and collaboration efficiency.

[0041] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A home smart science station based on a digital human system, comprising a home laboratory table (1), characterized in that: The upper surface of the home laboratory table (1) is fixedly connected to a toolbar module (2), the upper surface of the home laboratory table (1) is fixedly connected to a support back panel (7), a plurality of toolbar modules (2) are arranged on the left and right sides of the support back panel (7), a back panel screen (3) is arranged in the middle of the support back panel (7), a desktop screen (4) is arranged in the middle of the home laboratory table (1), a digital human teacher is arranged inside the back panel screen (3), a course system is arranged inside the back panel screen (3), and a left lower surface of the home laboratory table (1) is fixedly provided with a A first storage group (5), a second storage group (6) is fixedly arranged on the lower right side surface of the home laboratory table (1), a science course parts box is arranged inside the first storage group (5), and the science course parts box is used to give the home laboratory table (1) a function of diversified learning topics, and an experimental system is arranged inside the second storage group (6), and the experimental system is used to give the home laboratory a function of a systematic original science laboratory supporting scientific and educational courses, the digital human teacher is used for all-round personalized teaching and supporting students' comprehensive development, and the course system is used to cultivate students' comprehensive scientific literacy.

2. The home smart science station based on the digital human system according to claim 1 is characterized in that: Also includes: Learning interaction module, toolbar indicator module, multi-interface expansion module, digital human teaching module, AI recognition module, data management module, AI learning path planning module and network interaction module; The learning interaction module is used to present course content, digital human images, record notes, and support handwriting, drawing, and experimental operations through interactive devices; The toolbar indicator module is used to automatically light up the corresponding tool position according to the course requirements. The tool position is used to improve the learning and practical experience. Multi-interface expansion modules are used to connect external devices and expand functions; The digital human teaching module is used to provide real-time feedback and guidance to the character through voice, expression and screen prompts; The AI ​​recognition module is used to monitor students’ emotional changes using cameras and provide personalized learning suggestions; The data management module is used to synchronize local storage with the cloud to ensure data security and real-time backup; The AI ​​learning path planning module is used to generate personalized learning paths for students based on learning data analysis; The online interactive module is used to provide students with an online social and collaborative learning platform, which enables real-time voice and video communication and learning among students, and students can share learning insights, resources and experiences.

3. The home smart science station based on the Digital Human system according to claim 2 is characterized by: The learning interaction module comprises a content display unit, an operation interaction unit and a learning record unit. The content display unit is responsible for displaying course content and digital human image information on the dual-screen display module. The operation interaction unit is used to process students' handwriting, drawing and experimental operation input on the dual-screen. The learning record unit is used to record students' learning process and results. The learning process and results include notes, learning results, summaries and post-learning reflections, as well as learning feedback records. The interactive device comprises a dual-screen display module, which is composed of a back panel screen (3) and a desktop screen (4). The learning feedback is used for the digital human to analyze the data of students' classes and compare them with previous data to provide feedback on students' performance, thereby providing students with suggestions and plans.

4. The home smart science station based on the Digital Human system according to claim 2 is characterized by: The toolbar indicator light module includes a course monitoring unit, an indicator light control unit and an effect evaluation unit. The course monitoring unit is used to monitor the progress and needs of the course in real time. The indicator light control unit is used to control the lighting position and status of the indicator light. The effect evaluation unit is used to evaluate the effect of the indicator light on learning and practice. The toolbar system is used to light up the indicator lights at corresponding positions according to the course scene to improve learning efficiency.

5. The home intelligent science station based on the Digital Human system according to claim 2 is characterized by: The multi-interface expansion module includes a connection unit, a power management unit and a hardware expansion adapter unit. The connection unit is used for device connection and data transmission, the power management unit is used to ensure stable power supply and power distribution of the power interface, and the hardware expansion adapter unit is used for compatibility between the hardware expansion interface and external devices. The multiple interfaces include USB, power interface and hardware expansion.

6. The home smart science station based on the Digital Human system according to claim 2 is characterized by: The digital human teaching module includes a voice output unit, an expression presentation unit and a role switching unit. The voice output unit is used to generate voice feedback and guidance of the digital human. The expression presentation unit is used to display various expressions of the digital human. The role switching unit is used to switch between roles such as teacher, companion, learning assistant, etc. according to student needs. The roles include teacher, companion or learning assistant. The digital human is used to guide students to complete tasks, give feedback immediately, and motivate students to perform the next step.

7. The home smart science station based on the Digital Human system according to claim 2 is characterized by: The AI ​​recognition module includes an image acquisition unit, an emotion analysis unit, a suggestion generation unit, a light detection unit and a health display unit. The image acquisition unit is used to obtain student image data through a camera, the emotion analysis unit is used to analyze and judge the emotion characteristics of the acquired image, the suggestion generation unit is used to generate personalized learning suggestions based on the emotion analysis results, and the learning suggestions are used to improve students' concentration. The light detection unit is used to identify the surrounding light and adjust the brightness of the light source. The health display unit is used for AI to identify students' study time and assist students in healthy learning.

8. The home smart science station based on the Digital Human system according to claim 2 is characterized by: The data management module includes a local data storage unit, a cloud data synchronization unit and a data security protection unit. The local data storage unit is responsible for storing data in a local storage device, the cloud data synchronization unit is used to achieve synchronous update of local data and the cloud, and the data security protection unit is used to ensure the security and integrity of the data. The data is used to analyze students' learning direction and data synchronization ensures the integrity of the learning progress, and supports data sharing among multiple devices.

9. The home intelligent science station based on the Digital Human system according to claim 2, characterized in that: The AI ​​learning path planning module includes a data collection unit, an algorithm execution unit, a path adjustment unit and an evaluation and monitoring unit. The data collection unit is used to collect students' learning behavior and performance data. The algorithm execution unit is used to calculate and plan the learning path using the AI ​​algorithm. The path adjustment unit is used to dynamically adjust the learning path according to the students' learning progress. The AI ​​algorithm is used to dynamically adjust the learning path according to the students' performance to improve learning efficiency. The evaluation and monitoring unit is used to observe the students' learning progress and conduct evaluation and feedback. The observation methods include AI intelligent observation, parent supervision, teacher assistance and government control. The evaluation and feedback include digital human evaluation and optimization, student evaluation and suggestions, course evaluation and optimization and parent-teacher evaluation.

10. The home intelligent science station based on the Digital Human system according to claim 2 is characterized by: The network interaction module includes a network connection guarantee unit, a communication interaction unit, a resource sharing unit and a virtual interaction unit. The network connection guarantee unit is used for network connection between students during learning. The communication interaction unit is used to support real-time voice, video communication and text message transmission. The resource sharing unit is used to realize the sharing and dissemination of learning experience, resources and experience. The virtual interaction unit is used to enter the virtual network through an immersive intelligent display device, and is used for interaction and learning in the virtual network. The intelligent display device includes one of VR, AR or MR.

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