Internet of Things classroom based on intelligent blackboard control

Abstract

The invention mainly relates to the technical field of Internet of Things, and provides an Internet of Things classroom based on intelligent blackboard control in order to improve the integration level, the intelligence level and the individuation level of teaching, and the Internet of Things classroom comprises an intelligent blackboard, a background service system, a gateway layer and a terminal sensing layer. The terminal sensing layer comprises a plurality of devices or systems for collecting parameters in a classroom, the devices or systems transmit the collected parameters and running state parameters of the devices or systems to the background service system through the gateway layer for data analysis, data analysis results are transmitted to the intelligent blackboard for display, and the intelligent blackboard comprises a plurality of display interfaces. The plurality of display interfaces respectively correspond to equipment or systems in the terminal sensing layer and are used for displaying analysis results of the background service system on acquisition parameters or operation state parameters of the corresponding equipment or systems and setting the operation state parameters of the corresponding equipment or systems in the terminal sensing layer; and a highly integrated and intelligent teaching environment is formed.

Description

Technical Field

[0001] The present invention mainly relates to the technical field of Internet of Things, and in particular to an Internet of Things classroom based on smart blackboard control. Background Art

[0002] Traditional classrooms have many deficiencies in equipment control, teaching management, and environmental monitoring, such as cumbersome equipment operation, low teaching efficiency, and low student participation. With the continuous development of the Internet of Things and artificial intelligence technologies, smart Internet of Things classroom systems have emerged, aiming to improve teaching efficiency and learning experience through intelligent means. However, the existing smart Internet of Things classrooms still need to be improved in terms of functional integration, intelligence level, and personalized teaching.

[0003] In reality, each subsystem in the smart IoT classroom system (such as teaching system, environmental monitoring system, security system, etc.) basically stores and manages data independently, forming data islands; for example, student learning data in the teaching system cannot be correlated and analyzed with classroom environment data in the environmental monitoring system, and cannot provide a more comprehensive basis for teaching optimization. The lack of effective sharing and interaction mechanisms between data makes it impossible to achieve comprehensive data analysis and mining, and it is difficult to fully realize the value of the IoT classroom. Summary of the invention

[0004] Technical Problems to be Solved by the Invention

[0005] The invention provides an Internet of Things classroom based on smart blackboard control, aiming to improve the functional integration and intelligence level of the Internet of Things classroom.

[0006] The technical solution adopted by the present invention to solve the above technical problems

[0007] The IoT classroom based on smart blackboard control includes smart blackboard, background service system, gateway layer and terminal perception layer;

[0008] The terminal perception layer includes multiple devices or systems for collecting parameters in the classroom. The devices or systems in the terminal perception layer transmit the collected parameters and their own operating status parameters to the background service system through the gateway layer. The background service system analyzes the collected parameters or their own operating status parameters of the terminal perception layer devices or systems, and transmits the data analysis results to the smart blackboard for display. The smart blackboard includes multiple display interfaces, and the multiple display interfaces correspond to the devices or systems in the terminal perception layer respectively. The multiple display interfaces are used to display the analysis results of the background service system on the collected parameters or operating status parameters of the corresponding devices or systems, and are used to set the operating status parameters of the corresponding terminal perception layer devices or systems.

[0009] Furthermore, the terminal perception layer includes an Internet of Things device, an AI sound reinforcement system, a camera integration system and an environmental sensor system; the camera integration system is used to collect image parameters in the classroom, the AI ​​sound reinforcement system is used to collect voice parameters in the classroom, and optimize the clarity and background noise of the collected voice parameters according to the voice collection object, and the environmental sensor system is used to collect environmental parameters in the classroom; the smart blackboard includes an Internet of Things control interface, a recording / sound reinforcement control interface and an environmental perception interface, the Internet of Things control interface corresponds to the Internet of Things device, the recording / sound reinforcement control interface corresponds to the AI ​​sound reinforcement system and the camera integration system, and the environmental perception interface corresponds to the environmental sensor system.

[0010] Furthermore, the IoT control interface includes a lighting control sub-interface, a curtain control sub-interface, an air conditioning control sub-interface and a custom component interface, and the custom component interface is used to add IoT devices other than lighting, curtains and air conditioning in the classroom;

[0011] The recording and broadcasting / sound reinforcement control interface includes an OTG control status sub-interface, a camera preview sub-interface, a recording and broadcasting control sub-interface, and a sound reinforcement control sub-interface;

[0012] The environment perception interface includes a temperature and humidity display sub-interface, a weather display sub-interface, and an air quality display sub-interface.

[0013] Furthermore, the Internet of Things classroom also includes a cloud storage platform, which is used to store collection parameters and operating status parameters of terminal perception layer devices or systems.

[0014] Furthermore, the Internet of Things classroom also includes a remote collaboration platform, which is used to share the collection parameters and operating status parameters of the terminal perception layer device or system with remote users.

[0015] Furthermore, the Internet of Things classroom also includes an edge computing module, which is used to reduce the transmission delay of collection parameters and operating status parameters of the terminal perception layer device or system.

[0016] Furthermore, the acquisition parameters and operation status parameters of the terminal perception layer device or system are encrypted during the data transmission process.

[0017] Furthermore, the terminal perception layer device or system transmits data with the smart blackboard via WiFi, Zigbee, and Bluetooth.

[0018] Furthermore, pictorial symbols are used in the smart blackboard to indicate the devices or systems at the device perception layer.

[0019] Furthermore, according to user needs, the display setting parameters of the smart blackboard and the operating status parameters of the terminal perception layer equipment or system are jointly stored as "class mode" and "off-get out of class mode" and displayed on the smart blackboard. The user clicks "class mode" or "off-get out of class mode" on the smart blackboard interface to call the display setting parameters of the smart blackboard and the operating status parameters of the terminal perception layer equipment or system with one click, and controls the smart blackboard and the terminal perception layer equipment or system to operate according to the set display setting parameters or operating status parameters.

[0020] Beneficial effects of the present invention

[0021] The present invention provides an Internet of Things classroom based on smart blackboard control. The devices or systems in the terminal perception layer collect parameters in the classroom according to their own functions, and transmit the collected parameters and their own operating status parameters to the background service system through the gateway layer. The background service system analyzes the parameters collected by each device or system and its own operating status parameters, and transmits the analysis results to the interface corresponding to the terminal perception layer device or system in the smart blackboard for display; at the same time, the user can modify the operating status parameters of the terminal perception layer device or system in the corresponding interface of the smart blackboard, and the background service system transmits the operating status parameters modified by the user to the corresponding device or system in the terminal perception layer through the gateway, and the corresponding device or system runs according to the received operating status parameters, thereby realizing the joint cooperation between the smart blackboard and the terminal perception layer device or system to form a highly integrated and intelligent teaching environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a schematic diagram of the smart blackboard operation interface. DETAILED DESCRIPTION

[0023] The Internet of Things classroom based on smart blackboard control includes a smart blackboard, a background service system, a gateway layer and a terminal perception layer.

[0024] The terminal perception layer includes multiple devices or systems for collecting parameters in the classroom. The devices or systems in the terminal perception layer transmit the collected parameters and their own operating status parameters to the background service system through the gateway layer. The background service system analyzes the collected parameters or their own operating status parameters of the terminal perception layer devices or systems, and transmits the data analysis results to the smart blackboard for display. The smart blackboard includes multiple display interfaces, and the multiple display interfaces correspond to the devices or systems in the terminal perception layer respectively. The multiple display interfaces are used to display the analysis results of the background service system on the collected parameters or operating status parameters of the corresponding devices or systems, and are used to set the operating status parameters of the corresponding terminal perception layer devices or systems.

[0025] In this embodiment, the device or system in the terminal perception layer transmits the collected corresponding parameters or its own operating status parameters to the background service system through the gateway layer based on WiFi, Zigbee or Bluetooth communication.

[0026] The terminal perception layer includes IoT devices, AI sound reinforcement systems, camera integration systems, and environmental sensor systems, such as Figure 1 As shown, the smart blackboard includes an IoT control interface, a recording / sound reinforcement control interface, and an environmental perception interface. The IoT control interface corresponds to IoT devices, the recording / sound reinforcement control interface corresponds to the AI ​​sound reinforcement system and the camera integration system, and the environmental perception interface corresponds to the environmental sensor system.

[0027] The camera integration system includes a high-definition camera for collecting image parameters in the classroom. The high-definition camera captures the real-time images in the classroom according to the set lens tracking principle, and broadcasts them live or recorded through the smart big screen for teachers or administrators to view the live images in real time, which is convenient for subsequent teaching review and resource sharing. The back-end service system also automatically identifies and records student information based on the image information collected by the high-definition camera, realizing the automation and intelligence of attendance management. At the same time, the back-end service system also automatically updates the seating chart based on the recognition results of the high-definition camera on the student information, and displays the seat occupancy status.

[0028] The AI ​​sound reinforcement system is used to collect voice parameters in the classroom, and combines natural language processing technology and audio processing technology to optimize the clarity and background noise of the collected voice parameters, ensuring the clarity and audibility of classroom sound, so that every student can clearly hear the teacher's explanation, enhancing the immersion and interactivity of learning.

[0029] The environmental sensor system is used to collect environmental parameters in the classroom. Specifically, the environmental sensor system includes temperature sensors, humidity sensors, air monitoring sensors and other equipment, which can continuously monitor environmental factors such as temperature, humidity and air quality in the classroom. When the environmental quality does not meet the standards, health reminders are issued through the smart blackboard, and corresponding measures are recommended to improve the environmental quality.

[0030] IoT devices include lights, doors, windows, curtains, air conditioners, refrigerators and other equipment in the classroom.

[0031] The AI ​​sound reinforcement system, camera integration system and environmental sensor system communicate with the gateway layer based on the Internet of Things communication protocol. The gateway layer transmits the parameters collected by the AI ​​sound reinforcement system, camera integration system and environmental sensor system to the background service system for data analysis based on the application protocol. The background service system transmits the data analysis results to the smart blackboard and displays them on the corresponding interface of the smart blackboard.

[0032] Users can also modify the operating status parameters of devices or systems in the terminal perception layer based on the various areas in the smart blackboard, so that the corresponding devices or systems in the terminal perception layer can operate according to the operating status parameters modified by the user.

[0033] In this embodiment, the display setting parameters of the smart blackboard and the operating status parameters of the terminal perception layer are jointly stored as "class mode" and "off-get out of class mode" according to user needs, and displayed on the smart blackboard. The user clicks "class mode" or "off-get out of class mode" on the smart blackboard interface to call the display setting parameters of the smart blackboard and the operating status parameters of the terminal perception layer with one click, so that the devices or systems of the smart blackboard and the terminal perception layer can operate according to the set parameters.

[0034] In order to achieve refined control of the terminal perception layer devices or systems, the IoT control interface in the smart blackboard includes a lighting control sub-interface, a curtain control sub-interface, an air conditioning control sub-interface and a custom component interface. The custom component interface is used to add IoT devices other than lights, curtains and air conditioners in the classroom. The recording / sound reinforcement control interface includes an OTG control status sub-interface, a camera preview sub-interface, a recording control sub-interface and a sound reinforcement control sub-interface. The environmental perception interface includes a temperature and humidity display sub-interface, a weather display sub-interface and an air quality display sub-interface.

[0035] The Internet of Things classroom also includes a cloud storage platform, a remote collaboration platform and an edge computing module; the cloud storage platform is used to store the parameters and operating status parameters collected by the terminal perception layer device or system; the remote collaboration platform is used to share the collection parameters and operating status parameters of the terminal perception layer device with remote users; the edge computing module is used to reduce the transmission delay of the collection parameters and operating status parameters of the terminal perception layer device and improve the system response speed.

[0036] In order to ensure the security of data transmission and storage and protect the privacy information of students and teachers from being leaked, the collection parameters and operating status parameters of the devices or systems in the terminal perception layer are transmitted in an encrypted manner during the data transmission process.

[0037] In order to improve the visual appeal of the smart blackboard, the devices or systems at the terminal perception layer are marked with pictorial symbols on the smart blackboard. For example, a light bulb pattern represents light, an air conditioner pattern represents air conditioning, a curtain pattern represents curtains, a microphone pattern represents an AI sound reinforcement system, and a cloud pattern represents a cloud storage platform. The IoT communication method (such as Wi-Fi, Zigbee or Bluetooth) is also marked.

[0038] In order to adapt to the personalized needs of different users, users can also plan the icons in the smart blackboard according to their own needs, such as adding sub-interfaces such as application APP, file list, video matrix control, widgets, sidebar and status bar in the smart blackboard, and define icons of common functions supported by the smart blackboard in the sub-interfaces, such as defining icons of common functions supported by the smart blackboard (shutdown, brightness, volume, etc.) in the sidebar and status.

Claims

1. The Internet of Things classroom based on smart blackboard control is characterized by: Including smart blackboard, backend service system, gateway layer and terminal perception layer; The terminal perception layer includes multiple devices or systems for collecting parameters in the classroom. The devices or systems in the terminal perception layer transmit the collected parameters and their own operating status parameters to the background service system through the gateway layer. The background service system analyzes the collected parameters or their own operating status parameters of the terminal perception layer devices or systems, and transmits the data analysis results to the smart blackboard for display. The smart blackboard includes multiple display interfaces, and the multiple display interfaces correspond to the devices or systems in the terminal perception layer respectively. The multiple display interfaces are used to display the analysis results of the background service system on the collected parameters or operating status parameters of the corresponding devices or systems, and are used to set the operating status parameters of the corresponding terminal perception layer devices or systems.

2. The Internet of Things classroom based on smart blackboard control according to claim 1 is characterized in that: The terminal perception layer includes Internet of Things devices, AI sound reinforcement system, camera integration system and environmental sensor system; the camera integration system is used to collect image parameters in the classroom, the AI ​​sound reinforcement system is used to collect voice parameters in the classroom, and optimize the clarity and background noise of the collected voice parameters according to the voice collection object, and the environmental sensor system is used to collect environmental parameters in the classroom; the smart blackboard includes an Internet of Things control interface, a recording and broadcasting / sound reinforcement control interface and an environmental perception interface, the Internet of Things control interface corresponds to the Internet of Things device, the recording and broadcasting / sound reinforcement control interface corresponds to the AI ​​sound reinforcement system and the camera integration system, and the environmental perception interface corresponds to the environmental sensor system.

3. The Internet of Things classroom based on smart blackboard control according to claim 2 is characterized in that: The IoT control interface includes a lighting control sub-interface, a curtain control sub-interface, an air conditioning control sub-interface and a custom component interface, wherein the custom component interface is used to add IoT devices other than lighting, curtains and air conditioning in the classroom; The recording and broadcasting / sound reinforcement control interface includes an OTG control status sub-interface, a camera preview sub-interface, a recording and broadcasting control sub-interface, and a sound reinforcement control sub-interface; The environment perception interface includes a temperature and humidity display sub-interface, a weather display sub-interface, and an air quality display sub-interface.

4. The Internet of Things classroom based on smart blackboard control according to claim 1 is characterized in that: The Internet of Things classroom also includes a cloud storage platform, which is used to store collection parameters and operating status parameters of terminal perception layer devices or systems.

5. The Internet of Things classroom based on smart blackboard control according to claim 1 is characterized in that: The Internet of Things classroom also includes a remote collaboration platform, which is used to share the collection parameters and operating status parameters of the terminal perception layer device or system with remote users.

6. The Internet of Things classroom based on smart blackboard control according to claim 1 is characterized in that: The Internet of Things classroom also includes an edge computing module, which is used to reduce the transmission delay of collection parameters and operating status parameters of terminal perception layer devices or systems.

7. The Internet of Things classroom based on smart blackboard control according to claim 1 is characterized in that: The collection parameters and operating status parameters of the terminal perception layer device or system are encrypted during data transmission.

8. The Internet of Things classroom based on smart blackboard control according to claim 1 is characterized in that: The terminal perception layer device or system transmits data with the smart blackboard via WiFi, Zigbee or Bluetooth.

9. The Internet of Things classroom based on smart blackboard control according to claim 1 is characterized in that: In the smart blackboard, pictorial symbols are used to indicate the devices or systems at the device perception layer.

10. The Internet of Things classroom based on smart blackboard control according to any one of claims 1 to 9, characterized in that: According to user needs, the display setting parameters of the smart blackboard and the operating status parameters of the terminal perception layer device or system are jointly stored as "class mode" and "off-get out of class mode", and displayed on the smart blackboard. The user clicks "class mode" or "off-get out of class mode" on the smart blackboard interface to call the display setting parameters of the smart blackboard and the operating status parameters of the terminal perception layer device or system with one click, and controls the smart blackboard and the terminal perception layer devices or systems to run according to the set display setting parameters or operating status parameters.

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