84 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 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 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.

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 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 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.

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.

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 belongs to the technical field of smart classroom energy-saving control, and particularly discloses a classroom equipment adaptive linkage control method and system based on multi-modal perception, and the method comprises the following steps: obtaining multi-dimensional environment data in a classroom; processing the multi-dimensional environment data: fusing millimeter wave radar data and infrared sensor data to generate a personnel track and a distribution thermodynamic diagram, and performing scene recognition and decision analysis through a dynamic decision engine based on the personnel track, the distribution thermodynamic diagram, audio data and other environment data to generate an equipment control instruction; and according to the equipment control instruction, the lighting equipment, the air conditioning equipment, the sound equipment, the camera and the fresh air system are controlled in a linkage mode, and self-adaptive energy-saving regulation and control are achieved. According to the invention, the energy-saving effect can be realized while the dynamic linkage control of classroom equipment is satisfied.

The invention discloses an intelligent classroom auxiliary teaching management system based on real-time feedback of intelligent handwritten data, which belongs to the field of big data processing, and comprises the following steps: a signal acquisition and segmentation module is used for receiving sensor data of intelligent handwritten equipment, setting a dynamic vibration energy threshold value according to environmental background noise to capture pen falling and raising events, and sending the events to a server; defining a writing time interval; the abnormal behavior recognition and cleaning module is used for extracting time sequence motion features of the writing states, performing classification marking on the writing states and removing sensor data marked as abnormal behaviors; the trajectory reconstruction and drift elimination module is used for performing accumulative transformation on the rejected sensor data to obtain a handwriting trajectory, and correcting a velocity vector to suppress an accumulative error; and the intelligent classroom management service module is used for obtaining writing feature statistics according to the output handwriting track, generating real-time teaching prompt information and pushing the real-time teaching prompt information to the teacher terminal, thereby improving the effectiveness of intelligent classroom auxiliary teaching management.

The invention relates to the technical field of educational informatization, and discloses a smart classroom interactive behavior real-time supervision method fused with attention recognition, and the method comprises the steps: collecting classroom video streams, carrying out the time domain differential coding through an integral issuing neuron model, and generating teacher and student end pulse streams; constructing a self-adaptive confidence mask based on the visual pulse stream of the student side, performing gating repair and interpolation on the original video signal, and reconstructing a clean physiological blood volume pulse wave signal; extracting a student physiological feature vector, and calculating a dynamic lag order parameter according to the teacher end pulse stream; and performing time-varying Granger causality test on the teacher end pulse stream and the student physiological feature vector by using the parameters, and outputting an interactive behavior judgment result. By quantifying the causal association between the teaching stimulation and the physiological response of the student, the problems that the false attention state is difficult to distinguish and the non-contact physiological signal is susceptible to action interference in the prior art are solved, and the accuracy and robustness of classroom supervision are improved.

The invention relates to a smart classroom interaction method and device, equipment and a storage medium. The smart classroom interaction method is applied to the student terminal device, and the method encrypts the required data according to the second transmission sequence and each second encryption key, thereby preventing the student terminal device from querying the data source after submitting the exercise data. Meanwhile, the data packet in the (i-1) th bit in the sorting and the first encryption key in the ith bit in the sorting are encrypted by using the first encryption key in the (i-1) th bit in the sorting, and the first encryption keys are different and are hidden in the data packets, so that the difficulty of stealing the keys by other users is improved, and the user experience is improved. And therefore, the security of the question-doing data is improved.

1. Name of the design product: AI lectern. 2. Use of the design product: used in the podium area of the smart classroom. 3. Design points of the design product: in the shape and structure of the overall product. 4. Picture or photo that best indicates the design points: perspective view 1.

The invention discloses a smart classroom resource dynamic reservation and scheduling system and method, and relates to the technical field of resource scheduling. According to the system, demand analysis or priority pre-evaluation is carried out on a to-be-processed user reservation application, and meanwhile, a scheduling constraint condition of each scheduling period is preset; based on the monitored real-time occupancy state data and the newly added reservation request queue, executing resource matching degree calculation so as to determine the scheduling execution state of each reservation task and / or each classroom resource; whether the scheduling execution state meets a preset scheduling target or not is judged, when the scheduling execution state meets the preset scheduling target, the current scheduling execution state serves as an effective scheduling execution state, and if the scheduling execution state does not meet the preset scheduling target, a rescheduling process is triggered, and resource redistribution of conflicting and / or overload reservation tasks is carried out; and at the end of each scheduling cycle, efficiency quantitative evaluation of the scheduling process is carried out, so that the comprehensive scheduling efficiency of the smart classroom in the dynamic reservation scene is determined, and high adaptability of dynamic reservation and scheduling of smart classroom resources is realized.

The invention belongs to the technical field of smart classrooms, and particularly relates to a patrol robot applied to a smart classroom, and the patrol robot comprises a ceiling plate which is fixedly connected to the lower part of the roof of the classroom; the moving assembly is located above the ceiling plate; the camera base is in magnetic attraction connection with the movable end of the moving assembly, and the camera base is located below the ceiling plate; and the shooting assembly is mounted below the camera base. During use and inspection, the movable end of the moving assembly is in magnetic attraction connection with the camera base to drive the shooting assembly to move below the ceiling plate, the ceiling plate can shield the moving assembly and also can properly isolate equipment operation noise, the shooting assembly is far away from the ground and shoots from top to bottom, attention of examinees cannot be distracted, and the shooting assembly can replace teachers for inspection. And by moving to a designated position in all directions, inspection of different examinees is achieved, manpower can be greatly saved, and attention of the examinees cannot be affected.

This invention relates to a smart classroom system, electronic device, and storage medium based on a digital textbook platform. The system includes: a classroom environment construction module for building an online classroom environment, including student and teacher classroom environments; a teaching content processing module for generating teaching plans based on uploaded courseware or selected digital textbook content; a teaching activity provision module for matching corresponding teaching activities according to uploaded courseware or selected digital textbook content and generating corresponding teaching activity content; an activity data monitoring module for real-time monitoring of classroom data and processing it into corresponding indicator data according to preset indicators; and a feedback data module for generating teaching feedback data based on the indicator data of the teaching plan and / or teaching activities. This invention simplifies the teacher's operation process, provides rich and easy-to-use teaching resources, improves classroom teaching efficiency, and enhances teaching effectiveness.

The invention is suitable for the technical field of smart classroom information collection and smart blackboard data management, and provides a smart classroom-oriented laser smart blackboard data collection method and platform, and the method comprises the steps: controlling a projection module of a smart blackboard to adjust the light output brightness of the projection module if the current signal-to-noise ratio change amplitude is not in a peak value interval, and enabling the adjusted signal-to-noise ratio change amplitude to fall into a peak value interval, and applying the adjusted projection parameter to a subsequent laser point positioning process. According to the method, the signal-to-noise ratio variation amplitude is introduced to serve as a core index for uniformly representing various tiny environment disturbances, the nonlinear peak value interval relation of first rising and then falling exists between the index and the laser point positioning precision, and therefore the inherent limitation that in the prior art, environment fluctuation cannot be processed in a foresight mode is broken through.