113 results about "Smart classroom" patented technology

The invention relates to a method for supervising intelligent classroom interaction. The method comprises the following steps: dividing a classroom into micro-interaction units, capturing behavior characteristics in each unit, establishing behavior vectors, and recording specific participants and interaction modes; constructing an interaction unit time sequence, forming a behavior log graph, and performing time sequence modeling on multi-unit behavior vectors; identifying a state evolution curve of an individual, establishing an interaction state map, and identifying a state mutation point or a continuous low value interval as a supervision trigger point; identifying the logic integrating degree of the behaviors through a context analysis model; based on a behavior intention reasoning module, judging whether the behavior is in cooperation, coping, interference or simulation; introducing a system to judge abnormal states of a high-frequency low-value behavior, a content-free but high-frequency behavior and a theme-deviating behavior; continuously observing the change of the state of the student after intervention, and performing associated learning on intervention measures and effects to form a teacher personal intervention model library; the system recommends the most effective supervision measures to assist teachers to make decisions.

The invention discloses a fine-grained teaching behavior recognition method for a smart classroom, and provides a lightweight teaching behavior detection model fused with context fine-grained features on the basis of YOLOv8. In order to enhance the detection capability of the model in a specific complex application scene, namely a smart classroom, a fine-grained feature extraction module is designed, and the utilization efficiency of computing resources is optimized while fine-grained features are effectively extracted in combination with a deep convolution and efficient multi-scale attention mechanism. A multi-scale feature fusion module is designed for the problem of large scale span of a detection target caused by the depth of a classroom in a classroom environment, so that the detection capability of the model for actions of different scales is effectively improved, and particularly, the performance is outstanding in a dense scene. According to the invention, the fine-grained feature extraction module, the multi-scale feature fusion module and the fine-grained classroom teaching behavior detection module especially for small targets are designed, so that the detection precision is improved while the detection speed is kept.

The invention provides a smart classroom interaction analysis method based on double-layer architecture voice segmentation, and relates to the technical field of voice segmentation, and the method specifically comprises the following steps: extracting the voice features of a voice signal through employing a Mel-frequency cepstrum coefficient MFCC; designing a text-enhanced multi-scale time sequence-based perception time delay neural network, performing coarse screening on voice features, and dividing an audio clip into a single-speaker clip and a multi-speaker clip; and inputting the coarsely screened multi-speaker segment into a sliding window segmentation model SW-NIF fused with adjacent window information, and positioning speaker conversion points in the multi-speaker segment. And training the constructed model on the data set and verifying the model. According to the technical scheme, the problems that in the prior art, the segmentation problem of the classroom audio is neglected, and only the classroom audio is simply segmented for subsequent tasks, so that speakers in audio clips are mixed, and the analysis effect is affected are solved.

The invention discloses a campus low-carbon energy-saving smart classroom management method and system based on virtual classrooms. The method comprises the following steps: constructing a basic classroom resource pool; a classroom intelligent infrastructure layer is constructed through an environment sensing device, a network transmission device and an intelligent controller; constructing a digital twinborn model of the virtual classroom by combining the attribute information of the basic classroom resources and the classroom environment parameters collected by the intelligent facility; based on a digital twinborn model, monitoring the operation condition of each piece of hardware equipment in a classroom in real time; generating an operation and maintenance scheme and forming an operation and maintenance file according to the operation condition of the equipment and the prediction analysis result; constructing an energy consumption model of the virtual classroom, performing multi-dimensional evaluation on energy consumption of the classroom in real time, and constructing a carbon effect index; corresponding classroom services are developed in a targeted manner according to attribute characteristics of different types of classrooms; for different service objects, corresponding service interfaces are provided to realize input of classroom use requirements. And a complete technical system of low-carbon energy-saving intelligent classroom management is constructed.

The invention discloses a classroom behavior detection method based on dimension diffusion perception adaptive fusion, and the method comprises the steps: replacing a part of C2f layer of a Backbone network in a YOLOv8 model with parallelization plaque perception attention PPA, constructing a dimension perception fusion diffusion pyramid network DAIDFPN through employing a dimension perception selective fusion module DASI, and replacing a Neck feature fusion network in the YOLOv8 model. Therefore, an improved YOLOv8 model is obtained, and classroom behavior detection is carried out on the classroom image by using the improved YOLOv8 model. Compared with other methods, the classroom behavior detection method based on dimension diffusion perception adaptive fusion does not need to depend on a large number of data annotation data and computing resources, has the advantages of being small in computing overhead, high in real-time performance and high in detection precision, is low in cost in smart classroom deployment and has good practical application value.

The invention discloses an Internet of Things terminal centralized control system and method for a smart classroom, and relates to the field of Internet of Things equipment management. The method comprises the following steps: a local central control host of each classroom periodically acquires equipment state data, encapsulates and uploads the equipment state data to a cloud control platform, analyzes the data into a standardized state object based on an equipment information base, and constructs a global virtualization view; and when a remote control instruction is received, the cloud control platform verifies the feasibility of the instruction in combination with the virtual view and issues the instruction to the local central control host driving equipment for execution, then collects a feedback result, performs closed-loop verification, updates the virtual view, and pushes the latest state information to a remote terminal for display. Through precise monitoring and automatic control of the equipment state, the operation queue is optimized, parallel processing is realized, and the efficiency and the intelligent level of intelligent classroom equipment management are improved.

The invention relates to the field of wisdom education, in particular to a data protection method for a wisdom classroom, and the method comprises the steps: carrying out the transmission encryption, storage encryption and end-to-end encryption of teaching data based on a hybrid encryption technology; user permission is managed through multi-factor authentication and a role-based dynamic access control mechanism; the student privacy is protected by adopting data desensitization, differential privacy and anonymous ID generation technologies, and student information de-identification is realized; localized data processing and storage are completed by utilizing the edge computing node, and cloud dependence is reduced. Through multi-level encryption, dynamic authority control, data anonymization and localization processing technologies, the security of teaching data and user privacy are comprehensively guaranteed, the risk of data leakage is significantly reduced, the compliance and security of education data processing are improved, and the method is suitable for various smart classroom scenes.

The invention discloses an interactive teaching management system and method for a smart classroom, relates to the technical field of teaching management, and solves the technical problems that in the prior art, teaching activities are performed through intelligent multimedia, the actual classroom condition of students is not considered, and after-class homework of the students is difficult to set according to the actual condition of the students. Comprising a central processing module, a data acquisition module, a display control terminal and a database, the central processing module is used for generating an acquisition instruction based on the teacher voice information; acquiring a student image according to the acquisition instruction, and inputting the student image into a concentration degree model to obtain the time period concentration degree of the student; generating a reminding signal and after-class homework based on the time period concentration degree and a concentration degree threshold value; the teacher can conveniently adjust the teaching mode and the teaching progress according to the class states of the students; according to the invention, corresponding types of questions can be set according to the class attending states of different knowledge points during class attending of students, which is more suitable for learning conditions of the students, so that the students can have learning resources suitable for themselves.

The invention discloses a smart classroom multi-modal fusion system and method based on an AI technology, and relates to the technical field of smart classrooms, the smart classroom multi-modal fusion system comprises an equipment control unit, a real-time monitoring unit and an image acquisition unit, the image acquisition unit acquires three-dimensional image information by deploying various types of image acquisition equipment, a three-dimensional model is synthesized in real time, and the three-dimensional model is displayed on the equipment control unit; holographic images of teachers in local classrooms are captured in real time. The image acquired by the holographic image acquisition system of the teaching classroom is transmitted to a plurality of remote teaching classrooms, and is restored and presented by the holographic image restoration system of the remote teaching classrooms, so that students who listen to a class can not only display a holographic three-dimensional model in a naked eye 3D effect, but also project holographic three-dimensional images of teachers into the remote classrooms, and the teaching effect of the students is improved. The learning enthusiasm and initiative of the students are improved, and the distance between the remote listening students and the teaching teacher can be shortened.

1. Name of the product in this design: Smart Classroom Convergence Terminal. 2. Application of this design: for routine recording and broadcasting, interactive teaching, and edge computing in the education industry. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention relates to the technical field of smart classroom attendance checking, in particular to a smart classroom attendance checking system, which comprises an application layer used for configuring Spring Boot framework parameters and starting an application service; the service layer is used for recording, counting, predicting and analyzing classroom attendance; the security layer is used for managing user information and configuring roles and resource access permissions for users; the data layer is used for realizing data interaction among the application layer, the service layer, the security layer, the data layer, the log layer, the front-end layer and the database based on a Mapper interface; the log layer is used for recording a pushing result of the attendance message and a system operation log; the front-end layer is used for constructing a user interface and responding to a request of a user; and the database is used for storing data information of the application layer, the service layer, the security layer, the data layer, the log layer and the front-end layer. Through a modern software architecture and an intelligent algorithm, the efficiency and level of the classroom attendance system are improved.

The invention provides smart classroom central control equipment, which comprises a central control equipment assembly, and is characterized in that the central control equipment assembly comprises an outer shell, an inclined movable shell and a protective cleaning mechanism; the transmission mechanism drives the triangular arc-shaped shell, the central control touch panel and the rotating rod to rotate, at the moment, the spraying and cleaning mechanism is used for spraying a cleaning agent to the surface of the central control touch panel, and then the triangular arc-shaped shell drives the central control touch panel to rotate to the flexible cleaning cloth; a rotating rod drives a pipe body to rotate through a steel wire rope and a spring, the pipe body drives a plurality of pieces of flexible cleaning cloth to rotate on a central control touch panel, and when a triangular arc-shaped shell and the central control touch panel extrude the pipe body to move downwards, the pipe body extrudes the spring to generate deformation; the pipe body and the flexible cleaning cloth can be conveniently and completely attached to the triangular arc-shaped shell and the central control touch panel, the central control touch panel is moved into the circular through groove after being cleaned, safety protection can be conveniently conducted on the central control touch panel, and repeated use is facilitated.

The invention provides a smart classroom Internet of Things system, a service method, equipment and a storage medium, a sensing layer, an application layer and a network layer are arranged, the sensing layer comprises a sensing control domain and a physical entity domain, and the sensing control domain is in communication connection with the physical entity domain; the application layer comprises a user domain and an application service domain, and the user domain is in communication connection with the application service domain; the application service domain and the perception control domain are in communication connection based on a network layer; wherein the user domain is used for sending a target service request to the application service domain; the physical entity domain is used for collecting classroom data of a classroom in real time; the sensing control domain is used for generating a classroom analysis result based on the classroom data; and the application service domain is used for dynamically generating a personalized teaching strategy and / or an environment regulation and control scheme according to the target service request and the classroom analysis result, so that the system structure of the smart classroom Internet of Things application system can be effectively adapted, and the formation of the smart classroom Internet of Things application ecological system is promoted.

The invention discloses a recording and broadcasting classroom management system based on a smart classroom, relates to the technical field of classroom management equipment, and aims to solve the technical problem that the observation angle is relatively single due to the fact that observation equipment in a classroom is generally fixed when student performance is observed, and the recording and broadcasting classroom management system comprises a sliding rail, two supporting plates are movably arranged on the two sides of the sliding rail, the two supporting plates are fixedly connected through a supporting rod, and a moving mechanism is movably arranged between the two supporting plates. The moving mechanism comprises a first motor, a mute unit and an expansion unit. Through the arrangement of the moving mechanism, the movable observation function and the omnibearing management effect on students in a classroom are achieved, meanwhile, through the mute unit, buffering and damping are conducted when the observation equipment moves, the noise reduction effect is achieved, the situation that the learning environment of the students is affected due to the fact that noise is too large in the movement process of the observation equipment is avoided, and through the expansion unit, the teaching effect is improved. Therefore, the device can observe the effect in multiple directions, and the practicability and universality of the device can be improved.

The invention discloses a classroom behavior detection model and method based on parallel state space model and self-attention, and belongs to the technical field of intelligent education. A convolution unit driven by a TeLU activation function is designed, and the problem of subtle behavior feature weakening is solved through nonlinear mapping of a hyperbolic tangent index linear unit. A mixed feature fusion unit module is constructed, and attitude transformation and scene change are adapted through multi-branch structure integration space and channel reconstruction convolution and dynamic feature transformation. A VCAF module is designed, features are decomposed into three types of sub-features capable of being independently processed, and through long-time timing sequence modeling of Mamba and aggregation of a convolution addition self-attention mechanism, behavior semantic confusion with highly similar visual performance is solved, redundancy of long-time static features is removed, and details of short-time dynamic features are reserved. An efficient and reliable behavior detection scheme is provided for classroom scene multi-target behavior recognition, and technical support is provided for intelligent classroom real-time behavior monitoring and teaching quality evaluation.

A platform for managing and controlling a smart classroom by using the Internet of Things comprises a master control system and a smart classroom control system, and the master control system can perform information interaction with the smart classroom control system; the master control system can obtain data information of all the smart classroom control systems, meanwhile, the master control system can conduct signal transmission with all the smart classrooms, and the conditions in the smart classrooms can be monitored in real time while all the smart classroom control systems are monitored. According to the invention, the situation in the smart classroom can be monitored in real time through the master control system, so that when a single smart classroom control system fails, the smart classroom can be continuously managed and controlled through the master control system, and related personnel can be reminded to maintain the failed smart classroom control system.

The application discloses a classroom scene identity recognition method based on a multi-level information fusion Transformer, and belongs to the technical field of image detection.The application comprises the following steps: sampling and processing a video, sending the video into a target detection network, obtaining a person candidate frame based on the output of the target detection network, extracting features of the person candidate frame based on a multi-level information fusion Transformer network, obtaining and saving key feature information of the person candidate frame, extracting features of the person candidate frame of a target person based on the multi-level information fusion Transformer network, and obtaining key feature information of the target person; and determining whether the target person exists in a video frame based on similarity comparison between the key feature information.The application can effectively detect and recognize specific persons, has good robustness, and has good effects in sparse crowds and dense crowds.Meanwhile, the module can provide strong assistance for the construction of a smart classroom.

The utility model discloses a kind of wisdom classroom podiums with hidden wire arrangement groove, belong to wisdom classroom equipment technical field, to solve the problem of existing podium internal circuit easy entanglement twist, management and maintenance are inconvenient.It includes podium inner plate, and several buried wire groove components are fixed in podium inner plate upper through bolt, and buried wire groove component contains protective housing and carding component;Protective housing has the limiting plate of resistance podium inner plate, and limiting plate is connected with symmetric arc shell, and rubber strip is fixed in arc shell end inner side, and rubber strip protruding mouth mutually abuts;Carding component contains adjusting lever and carding plate, and adjusting lever drives carding plate to slide, and carding plate snap groove cooperates with limiting groove of limiting plate to card line, and arc shell inner side middle part baffle limits adjusting lever sliding.This device realizes circuit hidden type storage and classification carding, dust resistance is good, convenient to operate, satisfy the fine management demand of wisdom classroom circuit.

This invention provides a real-time learning feedback method and system for smart classrooms based on smart classrooms, including: Step S1: collecting and preprocessing data; Step S2: selecting learning characteristic variables based on the data to obtain training variables; Step S3: training a model based on the training variables; Step S4: determining whether the fitting result of the model's input data and output data is greater than a preset value; if the result is yes, deploying the model; if the result is no, repeating step S3; Step S5: outputting the student's academic performance through the model and providing feedback to the target personnel. This invention integrates learning display and the classroom central control system into a learning feedback screen. Through the learning feedback screen display scheme, the interface for teachers to view learning data and initiate teaching activities is separated from the traditional podium screen, avoiding cumbersome screen switching and protecting the privacy of teaching information.

The present application relates to a smart classroom system, comprising: a classroom comprising a public area for a plurality of testees [1] to simultaneously perform psychological assessment and a private area for a single testee to perform psychological intervention; a plurality of pairs of tables and chairs, wherein each table is provided with a first user terminal; the shared information presentation mechanism comprises a main body and an information presentation device arranged on the main body; the wearable virtual reality equipment is used by a testee during psychological intervention; the second user terminal is used by a psychological intervener during psychological intervention; the server generates psychological drama sand table placement information and a first evaluation result in a scene that multiple persons perform psychological evaluation at the same time; in a scene of performing psychological intervention on the testee, the wobble information is respectively sent to the paired second user terminal and the wearable virtual reality device by the server, and the server generates a second evaluation result in response to a second operation of the testee on the psychological drama sand table presented on the wearable virtual reality device.

The invention discloses an intelligent seat arrangement control method, and relates to the field of smart classrooms, and the method comprises the steps: obtaining the seat distribution information of a target examination room; according to the seat sub-distribution information of each group and a target seat arrangement scheme, determining the number of people capable of being arranged in each group under different target seat arrangement schemes; based on the number of people capable of being arranged in each group of all groups of different target seat arrangement schemes, determining the number of people capable of being arranged in the target examination room under the different target seat arrangement schemes; obtaining a target examination number; determining examinee position arrangement information according to the target examination number of people and arrangeable number of people in the target examination room under different target seat arrangement schemes; and sending the examinee position arrangement information to a target terminal. According to the invention, through systematic processing flow and clear algorithm design, automation, intelligentization and visualization of examination seat arrangement work are successfully realized, and the system has wide application prospect and practical value.

The present invention discloses a smart classroom feedback analysis method, device and storage medium. The method uses a generative adversarial network algorithm to train a feedback generation and optimization model for the smart classroom using data information related to the classroom's course theme. The feedback generation and optimization model is used to determine student feedback issues related to the course content, analyze and evaluate student feedback data submitted by students through terminals based on a machine learning algorithm, generate an analysis report, and push it to the terminals of students' parents to collect parent feedback suggestions. Based on the student feedback data and parent feedback suggestions, the feedback generation and optimization model of the smart classroom is dynamically adjusted to continuously optimize and manage the smart classroom feedback. The present invention uses a generative adversarial network (GAN) algorithm to generate and optimize student feedback issues. At the same time, based on student feedback and parent suggestions, a comprehensive feedback system is formed, which can dynamically adjust the feedback generation and optimization model to achieve continuous improvement and optimization of teaching effects.

According to the multifunctional central control system provided by the invention, the Internet of Things equipment in each smart classroom can be managed and controlled through the central control host, the central control panel and the remote centralized control platform, so that a manager can monitor the operation state of the Internet of Things equipment without field inspection. Wherein the central control panel can be a commercial mobile panel, and fixed equipment and an additional development system are not needed; the central control host is in communication connection with the Internet of Things equipment and the environment sensor, can collect operation data of the Internet of Things equipment and data of the sensor to the central control panel and the far-end centralized control platform, and controls the corresponding Internet of Things equipment according to a control instruction; the remote centralized control platform can monitor the Internet of Things equipment and indoor environment indexes according to the sensor data and the operation data of the Internet of Things equipment, and remotely controls the Internet of Things equipment through the central control host.

The utility model provides a demonstration auxiliary device for an intelligent classroom. The demonstration auxiliary device comprises a locking ring, a bearing plate and two light supplementing assemblies. The locking ring is detachably arranged on a lens of the image acquisition equipment in a sleeving manner, an assembling hole is formed in the bearing plate, a rotatable connecting sleeve is arranged in the assembling hole, and the bearing plate is detachably connected with the locking ring through the connecting sleeve. The two light supplementing assemblies are arranged on the two sides of the bearing plate in a mirror image mode, and each light supplementing assembly comprises a supporting frame and a bearing shaft. A containing hole is formed in the side wall of the bearing plate, one end of the supporting frame is arranged in the containing hole in a sliding mode, the other end of the supporting frame is rotationally connected with the bearing shaft, and a light supplementing lamp strip is arranged on the side wall of the bearing shaft. According to the demonstration auxiliary device for the intelligent classroom, the position of a light source can be flexibly adjusted, and illumination dead angles or overexposure areas are prevented from occurring during image acquisition.

1. Name of the designed product: electronic teaching panel (mathematics smart classroom). 2. Use of the designed product: teaching board for teaching. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view.

1. The name of the design product: interactive display terminal (small smart classroom). 2. The use of the design product: for teaching interactive content display. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention relates to the technical field of smart classrooms, and discloses a smart classroom multimedia management platform for centralized management and control by using the Internet of Things, which comprises an equipment management module and a resource management module, comprising a hardware access unit, a software system unit, a user interaction unit and an authority management unit, the intelligent fault early warning and maintenance submodule comprises a sensor deployment unit, a data transmission unit, a fault model construction unit, an early warning execution unit and a maintenance management unit; and the resource sharing platform sub-module comprises a resource integration unit, a platform development unit, a classification retrieval unit and an auditing evaluation unit. According to the invention, stable and efficient data interaction between the multimedia equipment and the platform is realized, different equipment can be connected with the gateway through adaptive communication modules, a plurality of protocol conversion functions can adapt to communication protocol differences of various equipment, and a foundation is laid for stable operation of the whole smart classroom multimedia management platform.

The utility model discloses an intelligent classroom management system based on the idea of energy conservation and emission reduction, and aims to solve the problem of energy waste of existing colleges and universities. Comprising an ambient light sensor, a temperature sensor, a face recognition module, a 51 single-chip microcomputer, an ATmega16U2 chip, a voice broadcast module, an LCD display screen, and a plurality of lamps, electric curtains and fans installed in a classroom. The temperature sensor is connected with the input end of the development board where the 51 single-chip microcomputer is located. The LCD display screen and the fan are connected with the output end of the development board where the 51 single-chip microcomputer is located. Compared with a common temperature control fan, the system has the obvious advantages in the aspects of intelligent control, energy saving efficiency, user interaction experience and multifunctionality by using the single-chip microcomputer to control the temperature of the fan; the ATmega16U2 chip is used for controlling face recognition, and the face recognition is more accurate than traditional infrared recognition; an ATmega16U2 chip is used for controlling an ambient light sensor to automatically adjust indoor light and a curtain, energy is saved, and meanwhile comfortable illumination is ensured.

The invention relates to the Internet of Things technology, and provides a method for controlling intelligent classroom Internet of Things equipment based on a mobile terminal in order to at least partially or completely solve the problems existing in a scheme for controlling the intelligent classroom Internet of Things equipment through an APP or an applet in the prior art, so that simple, convenient and efficient control is realized, and complicated account authority management is not needed. The method comprises the following steps: S1, a user sends an Internet of Things equipment control request to a service back end by using a control screen; s2, the service back end generates a temporary control link according to the Internet of Things equipment control request and sends the temporary control link to the control screen; s3, converting the temporary control link into a two-dimensional code by the control screen, and displaying the two-dimensional code on the control screen; and S4, a user scans the two-dimensional code on the control screen through a mobile terminal to open the temporary control link, the link is an H5 page in the mobile terminal, and a control component capable of controlling the Internet of Things equipment is loaded and displayed in the H5 page.

1. The name of this design product: IoT integrated touch terminal (TH‑05). 2. Purpose of the product with this appearance design: The product with this appearance design is used for network access, data transmission gateway and smart classroom, smart conference room, smart office, IP call intercom, card swiping or scanning identity recognition. 3. The design key point of this appearance design product lies in the shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.