Intelligent classroom management platform based on AI technology

Abstract

The invention relates to the technical field of computer communication, in particular to a smart classroom management platform based on the AI technology, and the platform comprises a classroom management unit, an early warning information unit, an equipment management unit, an energy consumption management unit, an operation and maintenance management unit, and a teaching management unit. The information acquisition unit is used for acquiring classroom information in a target area and adjusting a use strategy of classroom equipment according to a use strategy of the equipment management unit, a management strategy of the energy consumption management unit and an operation and maintenance work order completion condition of the operation and maintenance management unit; the teaching management unit is used for acquiring the classroom condition of the corresponding classroom, and the classroom condition comprises the classroom attendance condition, the preference of the teacher using equipment, the course teaching content and the classroom interaction condition; and the classroom management unit is also used for acquiring preference data of the teacher using the equipment collected by the teaching management unit and adjusting the use state of the corresponding classroom equipment. Through the smart classroom management platform, the problem that an existing smart classroom lacks a unified management platform is solved.

Description

Technical Field

[0001] The present invention relates to the field of computer communication technology, and in particular to a smart classroom management platform based on AI technology. Background Art

[0002] The smart classroom management platform is based on technologies such as the Internet of Things, artificial intelligence, cloud computing, and big data. It builds an intelligent management platform that provides personalized application services for teachers and students, thereby achieving a good classroom teaching environment.

[0003] In actual use, there are cases where the equipment in the classroom is not purchased in the same batch, or the equipment is not produced by the same manufacturer. This leads to the inability to manage different equipment in a unified manner, increases obstacles for teachers to use, and reduces the efficiency of classroom use.

[0004] Therefore, the present invention provides a smart classroom management platform based on AI technology to solve the problems of difficult use, management, maintenance and upgrading of equipment in existing smart classrooms. Summary of the invention

[0005] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a smart classroom management platform based on AI technology to solve the problems of difficult use, management, maintenance and upgrading of equipment in existing smart classrooms.

[0006] In order to achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a smart classroom management platform based on AI technology, the smart classroom management platform includes: a classroom management unit, an early warning information unit, a device management unit, an energy consumption management unit, an operation and maintenance management unit and a teaching management unit, wherein the early warning information unit is used to obtain the abnormal power consumption information of the equipment in the corresponding classroom, and mark the equipment with abnormal power consumption, generate the first abnormal warning information, and send it to the operation and maintenance management unit; the device management unit is used to obtain the usage of each device in the corresponding classroom and adjust the usage strategy of the equipment; the energy consumption management unit is used to obtain the energy consumption of the corresponding classroom and adjust the management strategy of the equipment according to the change of energy consumption; the operation and maintenance management unit is used to obtain the energy consumption of the corresponding classroom and adjust the management strategy of the equipment according to the change of energy consumption; The first abnormal warning information sent by the early warning information acquisition unit and the second abnormal warning information generated in response to the user operation are used to generate an operation and maintenance work order; the classroom management unit is used to obtain classroom information in the target area, and adjust the usage strategy of classroom equipment according to the usage strategy of the equipment management unit, the management strategy of the energy consumption management unit and the completion of the operation and maintenance work order of the operation and maintenance management unit; the teaching management unit stores the teaching schedule and is used to obtain the classroom situation of the corresponding classroom, and the classroom situation includes classroom attendance, teacher's preference for using equipment, course teaching content and classroom interaction; the classroom management unit is also used to obtain the teacher's preference data for using equipment collected by the teaching management unit, and adjust the usage status of the corresponding classroom equipment.

[0007] A further improvement of the present application is that the classroom management unit is used to obtain the teacher's device usage preference data collected by the teaching management unit, and the step of adjusting the usage status of the corresponding classroom equipment includes: obtaining the teacher's device usage frequency and usage duration in different courses, establishing the device usage preferences of different teachers through K-means clustering analysis based on the usage frequency and usage duration of the corresponding equipment, and sending the device usage preference data to the classroom management unit; obtaining the teacher's attendance information collected by the teaching management unit, the teacher's attendance information is one of the facial portrait information, voiceprint information or IC card corresponding to the teacher in the corresponding teaching time period, and obtaining one or more device usage preference data of the teacher based on the teacher's attendance information; obtaining the teaching and class schedule in the corresponding teaching time period from the teaching management unit, and corresponding to the teacher's device usage preference data according to the pre-taught courses in the teaching and class schedule; sending the device usage preference data of the teacher corresponding to the pre-taught courses to the device management unit, and adjusting the usage status of the equipment in the classroom.

[0008] A further improvement of the present application is that the device management unit includes a gateway control subunit and a control device subunit, the gateway control subunit is used to obtain the area to which the gateway device in the corresponding classroom belongs, the device address, the IP address, the number of sub-devices, and the status of the gateway, and update the gateway information and adjust the number of gateway devices according to the status of each gateway; the control device subunit is used to obtain the area to which the control device belongs, the device type, the status, and the online duration, and in response to user input, control and delete the control device according to the device address and status collected by the gateway control subunit.

[0009] A further improvement of the present application is that the energy consumption management unit is used to obtain the energy consumption of the corresponding classroom and adjust the management strategy of the equipment according to the changes in energy consumption, including the following steps: obtaining real-time energy consumption data of the corresponding classroom, including electrical energy, water energy and thermal energy, and monitoring the energy consumption in the classroom in real time through a data acquisition module; analyzing the energy consumption data, identifying classrooms with abnormal energy consumption, and conducting comparative analysis through historical energy consumption data to find out the causes of abnormal energy consumption; formulating corresponding energy-saving strategies based on the energy consumption analysis results, and adjusting the usage time or power of the equipment; sending the energy-saving strategies to the corresponding control device sub-units through the equipment management unit to automatically adjust the equipment operating status in the classroom.

[0010] A further improvement of the present application is that the method for the early warning information unit to obtain abnormal power consumption information of the equipment in the corresponding classroom includes the following steps: obtaining the power consumption information of the equipment in the corresponding classroom within a continuous time period, the power consumption information including the current and voltage data of the equipment, and calculating the average value of the current and voltage data within the continuous time period, and sending the average value to the early warning information unit, marking the average value as the early warning threshold; if the current or voltage data of the equipment in the corresponding classroom exceeds the early warning threshold, it is determined to be abnormal power consumption, and a first abnormal early warning information is generated, and the abnormal equipment information is sent to the operation and maintenance management unit.

[0011] A further improvement of the present application is that the operation and maintenance management unit is used to process the first abnormal warning information and the second abnormal warning information, and generate a corresponding operation and maintenance work order, including the following steps: obtaining the first abnormal warning information and the second abnormal warning information, and classifying and prioritizing these information; automatically matching the corresponding maintenance personnel and spare parts resources according to the abnormal equipment information in the warning information, and generating a preliminary operation and maintenance work order; sending the preliminary operation and maintenance work order to the maintenance personnel's mobile device, and the maintenance personnel performing on-site inspection and maintenance operations according to the content of the work order; after the maintenance is completed, the maintenance personnel updates the work order status on the mobile device, and uploads the maintenance results and related data to the operation and maintenance management unit.

[0012] A further improvement of the present application is that the classroom information in the target area acquired by the classroom management unit includes the number of buildings in the target area, the number of classrooms in the corresponding buildings, the usage status of the classrooms and the usage status of the equipment in the classrooms.

[0013] A further improvement of the present application is that the teaching management unit includes an academic affairs management unit, a regional class inspection unit and a teaching video management unit, and the academic affairs management unit stores a teaching class schedule, teacher facial portrait information and student facial portrait information; the regional class inspection unit includes a class inspection management subunit and a class inspection record subunit, and the class inspection management subunit is used to obtain classroom attendance and classroom interaction, and perform class evaluation operations, and the class inspection record subunit is used to search according to conditions such as classroom name, course name, teacher name, date, etc., and obtain all class evaluation records; the teaching video management unit includes a teaching live broadcast subunit and a teaching playback subunit, and the teaching live broadcast subunit is used to search according to conditions such as classroom name, course name, teacher name, date, etc., and obtain information of all teachers who are broadcasting live, and the teaching playback subunit is used to play back the corresponding teacher's course live broadcast playback.

[0014] A further improvement of the present application is that the method for the classroom management unit to adjust the usage strategy of classroom equipment includes the following steps: obtaining the equipment usage status in the target area, adjusting the equipment usage status according to the equipment's energy consumption and the teacher's usage preferences, and if there is an operation and maintenance work order for the equipment, determining whether the equipment is the equipment corresponding to the teacher's usage preferences according to the teacher's usage preferences; if the equipment is the equipment corresponding to the teacher's usage preferences, adjusting the course to a classroom where all equipment corresponding to the teacher's usage preferences can operate normally.

[0015] The beneficial effects of the present invention are:

[0016] 1. Improve the efficiency of classroom equipment use: By analyzing teachers' usage preferences and equipment usage frequency, it can intelligently adjust the usage status of classroom equipment to ensure that the equipment is in the best working condition when needed, thereby improving teaching quality and equipment utilization.

[0017] 2. Reduce energy consumption and operation and maintenance costs: By real-time monitoring of classroom energy consumption and formulating corresponding energy-saving strategies, energy consumption can be effectively reduced and unnecessary expenses can be reduced. At the same time, the early warning system can detect equipment abnormalities in time to avoid equipment damage and reduce maintenance costs.

[0018] 3. Improve teaching management efficiency: Through the comprehensive management of the teaching management unit, regional class inspection unit and teaching video management unit, it is possible to optimize the allocation of teaching resources, improve the transparency and convenience of teaching management, and provide a better teaching environment for teachers and students.

[0019] 4. Improve equipment maintenance efficiency: By automatically matching maintenance personnel and spare parts resources and generating preliminary operation and maintenance work orders, maintenance personnel can respond quickly and conduct on-site inspections and repair operations, shortening equipment failure time and improving equipment maintenance efficiency.

[0020] To sum up, the present invention realizes the comprehensive optimization of intelligent adjustment of equipment usage status, energy consumption management, teaching management, early warning information processing and operation and maintenance management through an intelligent classroom management unit, providing schools with an efficient, energy-saving and convenient teaching environment management solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a schematic structural diagram of the smart classroom management platform based on AI technology of the present invention;

[0022] Figure 2 This is an interface diagram of the smart classroom management platform based on AI technology in the present invention. DETAILED DESCRIPTION

[0023] The following will describe various embodiments of the present invention in detail with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0024] Example

[0025] like Figure 1-2 As shown, a smart classroom management platform based on AI technology includes: a classroom management unit, an early warning information unit, an equipment management unit, an energy consumption management unit, an operation and maintenance management unit and a teaching management unit, wherein:

[0026] The warning information unit is used to obtain abnormal power consumption information of the equipment in the corresponding classroom, mark the equipment with abnormal power consumption, generate first abnormal warning information, and send it to the operation and maintenance management unit;

[0027] The device management unit is used to obtain the usage status of each device in the corresponding classroom and adjust the device usage strategy;

[0028] The energy consumption management unit is used to obtain the energy consumption of the corresponding classroom and adjust the management strategy of the equipment according to the changes in energy consumption;

[0029] An operation and maintenance management unit, configured to obtain the first abnormal warning information sent by the warning information unit and the second abnormal warning information generated in response to the user operation, and generate an operation and maintenance work order;

[0030] The classroom management unit is used to obtain classroom information in the target area and adjust the usage strategy of classroom equipment according to the usage strategy of the equipment management unit, the management strategy of the energy consumption management unit and the completion status of the operation and maintenance work order of the operation and maintenance management unit;

[0031] A teaching management unit stores a teaching schedule and is used to obtain the classroom situation of the corresponding classroom, including classroom attendance, teacher's device preference, course content and classroom interaction;

[0032] The classroom management unit is also used to obtain the teacher's preference data on device usage collected by the teaching management unit, and adjust the usage status of the corresponding classroom equipment.

[0033] Preferably, the device management unit includes a gateway control subunit and a control device subunit, the gateway control subunit is used to obtain the area to which the gateway device in the corresponding classroom belongs, the device address, the IP address, the number of sub-devices, and the status of the gateway, and update the gateway information and adjust the number of gateway devices according to the status of each gateway; the control device subunit is used to obtain the area to which the control device belongs, the device type, the status, and the online duration, and in response to user input, control and delete the control device according to the device address and status collected by the gateway control subunit.

[0034] In actual use, the control device subunits include ultraviolet lamps, lighting lamps, curtains, projectors, smart sockets, fresh air systems, temperature and humidity sensors, wireless door magnetic locks, smart circuit breakers, air-conditioning systems, and multimedia teaching equipment. By connecting the MAC addresses of these devices to the server, remote control can be achieved through the gateway control subunit.

[0035] Preferably, the classroom information in the target area acquired by the classroom management unit includes the number of buildings in the target area, the number of classrooms in the corresponding buildings, the usage status of the classrooms and the usage status of the equipment in the classrooms;

[0036] Specifically, the classroom management unit can display data such as the number of buildings, the number of classrooms, the number of users, the number of classrooms in class, the number of classrooms in live broadcast, the number of faulty classrooms, the number of warning classrooms, and utilization rate.

[0037] Preferably, the teaching management unit includes an academic affairs management unit, a regional class inspection unit and a teaching video management unit, wherein the academic affairs management unit stores teaching class schedules, teacher facial portrait information and student facial portrait information; the regional class inspection unit includes a class inspection management subunit and a class inspection record subunit, wherein the class inspection management subunit is used to obtain classroom attendance and classroom interaction, and perform class evaluation operations, and the class inspection record subunit is used to search according to conditions such as classroom name, course name, teacher name, date, etc., and obtain all class evaluation records; the teaching video management unit includes a teaching live broadcast subunit and a teaching playback subunit, wherein the teaching live broadcast subunit is used to search according to conditions such as classroom name, course name, teacher name, date, etc., and obtain information of all teachers who are broadcasting live, and the teaching playback subunit is used to play back the corresponding teacher's course live broadcast playback.

[0038] In one embodiment of the present invention, the classroom management unit is used to obtain the teacher's preference data on device usage collected by the teaching management unit, and adjust the usage status of the corresponding classroom device, including the following steps S101-S104:

[0039] S101, obtaining the frequency and duration of use of devices by teachers in different courses, establishing device use preferences of different teachers through K-means cluster analysis according to the frequency and duration of use of corresponding devices, and sending the device use preference data to the classroom management unit;

[0040] S102, obtaining teacher attendance information collected by the teaching management unit, wherein the teacher attendance information is one of facial portrait information, voiceprint information, or IC card information corresponding to the teacher in the corresponding teaching time period, and obtaining one or more device usage preference data of the teacher according to the teacher attendance information;

[0041] S103, obtaining a teaching schedule for a teaching management unit in a corresponding teaching time period, and matching the teacher's device usage preference data with the pre-teaching subjects in the teaching schedule;

[0042] S104: Send the device usage preference data of the teacher corresponding to the pre-teaching course to the device management unit, and adjust the usage status of the devices in the classroom.

[0043] In step S101, through K-means cluster analysis, the device usage preferences of teachers can be divided into several categories, such as teachers who frequently use multimedia devices, teachers who prefer to use projectors, teachers who prefer to use smart blackboards, etc. Through such classification, the device usage habits of each teacher can be understood more accurately, so as to provide them with more personalized classroom equipment configuration.

[0044] In step S102, the teacher's attendance information can be obtained in a variety of ways. For example, facial recognition technology can monitor in real time whether the teacher has arrived in the classroom, voiceprint recognition technology can confirm whether the teacher's voice is present in the classroom, and IC cards can record the time when the teacher enters and leaves the classroom. This information helps to confirm whether the teacher is present during the scheduled teaching time period, and obtain the teacher's device usage preference data accordingly.

[0045] In step S103, the teaching schedule is one of the core data of the teaching management unit. By analyzing the schedule, the course content taught by the teacher in different time periods can be determined, and then the corresponding equipment usage preference data can be matched. For example, if a teacher is scheduled to teach a computer course in the schedule, the system will give priority to configuring computer-related teaching equipment for the teacher.

[0046] In step S104, after the teacher's device usage preference data is sent to the device management unit, the device management unit will adjust the usage status of the devices in the classroom according to the data. For example, if a teacher prefers to use a smart blackboard, the system will automatically adjust the smart blackboard to the best usage status before the teacher teaches, ensuring that the teacher can carry out teaching activities smoothly.

[0047] In one embodiment of the present invention, the method in which the energy consumption management unit is used to obtain the energy consumption of the corresponding classroom and adjust the management strategy of the equipment according to the change of energy consumption includes the following steps S201-S204:

[0048] S201, obtaining real-time energy consumption data of the corresponding classroom, including electric energy, water energy and thermal energy, and monitoring the energy consumption in the classroom in real time through the data acquisition module;

[0049] S202, analyzing energy consumption data, identifying classrooms with abnormal energy consumption, and performing comparative analysis through historical energy consumption data to find out the causes of abnormal energy consumption;

[0050] S203, formulating corresponding energy-saving strategies according to the energy consumption analysis results, and adjusting the use time or power of the equipment;

[0051] S204. Send the energy-saving strategy to the corresponding control device sub-unit through the device management unit to automatically adjust the operating status of the equipment in the classroom.

[0052] In step S201, real-time monitoring of energy consumption data is the key to ensuring the rational use of classroom resources. Through the data acquisition module, the consumption of electricity, water and heat in the classroom can be obtained in real time, thereby providing accurate data support for subsequent energy consumption analysis and energy-saving strategy formulation. For example, electricity consumption data can be monitored in real time through smart meters, water consumption data can be monitored in real time through smart water meters, and heat consumption data can be monitored in real time through temperature sensors and heat meters.

[0053] In step S202, the analysis of energy consumption data is an important step in identifying energy consumption anomalies and finding out the causes. By comparing and analyzing historical energy consumption data, classrooms with abnormal energy consumption can be found, and the causes of the anomalies can be further analyzed. For example, if the power consumption of a classroom suddenly increases, it may be because the lighting equipment has not been turned off for a long time, or the air conditioning system has a fault. By comparing historical data, the problem can be found more accurately.

[0054] In step S203, formulating an energy-saving strategy is a key step to reduce energy consumption and improve energy efficiency. According to the energy consumption analysis results, corresponding energy-saving strategies can be formulated, such as adjusting the use time or power of equipment. For example, if it is found that a classroom still has high power consumption during non-class hours, a strategy can be formulated to automatically turn off the lighting equipment and air conditioning system in the classroom during non-class hours, thereby reducing energy consumption.

[0055] In step S204, the implementation of the energy-saving strategy is the key to ensuring the energy-saving effect. The energy-saving strategy is sent to the corresponding control device subunit through the device management unit, and the operating status of the equipment in the classroom can be automatically adjusted. For example, according to the energy-saving strategy, the lighting equipment and air-conditioning system in the classroom can be automatically turned off during non-class time, or the brightness of the lighting equipment and the temperature of the air-conditioning system can be adjusted according to actual needs during class time, thereby achieving the energy-saving goal.

[0056] In one embodiment of the present invention, the method for the early warning information unit to obtain abnormal power consumption information of the corresponding equipment in the classroom includes the following steps S301-S302:

[0057] S301, obtaining power consumption information of the equipment in the corresponding classroom in a continuous time period, the power consumption information including the current and voltage data of the equipment, and calculating the average value of the current and voltage data in the continuous time period, and sending the average value to the early warning information unit, marking the average value as the early warning threshold;

[0058] S302: If the current or voltage data of the equipment in the corresponding classroom exceeds the warning threshold, it is determined to be abnormal power consumption, a first abnormal warning message is generated, and abnormal equipment information is sent to the operation and maintenance management unit.

[0059] In step S301, obtaining the power consumption information of the corresponding equipment in the classroom during a continuous time period is an important measure to ensure the safe operation of the equipment. By monitoring the current and voltage data of the equipment in real time, abnormal power consumption can be discovered in time, so that corresponding preventive measures can be taken. Calculating the average value of the current and voltage data in a continuous time period and using it as the warning threshold helps to more accurately determine whether the equipment is in normal operation. For example, if the current or voltage data of a certain device is continuously higher or lower than the normal range for a period of time, the system will automatically adjust the warning threshold to adapt to the actual operation of the device.

[0060] In step S302, if the current or voltage data of the equipment in the corresponding classroom exceeds the warning threshold, it is determined to be abnormal power consumption, the first abnormal warning information is generated, and the abnormal device information is sent to the operation and maintenance management unit. This process ensures that when abnormal power consumption occurs, relevant personnel can be quickly notified and take necessary maintenance measures. For example, if the air conditioning system in a classroom suddenly has an overcurrent, the system will immediately generate a warning message and notify the operation and maintenance personnel to conduct inspections and repairs to avoid possible equipment damage or safety accidents.

[0061] In one embodiment of the present invention, the operation and maintenance management unit is used to process the first abnormal warning information and the second abnormal warning information and generate a corresponding operation and maintenance work order, including the following steps S401-S404:

[0062] S401, obtaining first abnormal warning information and second abnormal warning information, and classifying and prioritizing the information;

[0063] S402, automatically matching corresponding maintenance personnel and spare parts resources according to abnormal equipment information in the early warning information, and generating a preliminary operation and maintenance work order;

[0064] S403, sending the preliminary operation and maintenance work order to the mobile device of the maintenance personnel, and the maintenance personnel conduct on-site inspection and maintenance operations according to the content of the work order;

[0065] S404: After the maintenance is completed, the maintenance personnel updates the work order status on the mobile device and uploads the maintenance results and related data to the operation and maintenance management unit.

[0066] In step S401, obtaining the first abnormal warning information and the second abnormal warning information, and classifying and prioritizing these information is the key to ensuring the efficiency of operation and maintenance management. By classifying the warning information according to the equipment type, abnormality degree and urgency, the work order of the maintenance personnel can be arranged more effectively. Priority sorting ensures that the most urgent and important issues are handled first. For example, if a classroom's air conditioning system has a serious fault, the system will automatically set it to the highest priority so that maintenance personnel can go to deal with it immediately.

[0067] In step S402, according to the abnormal equipment information in the early warning information, the corresponding maintenance personnel and spare parts resources are automatically matched to generate a preliminary operation and maintenance work order, which is an important part of improving the operation and maintenance response speed and efficiency. The system can quickly find suitable maintenance personnel and required spare parts through the maintenance personnel skill information and spare parts inventory stored in the database, thereby generating a preliminary operation and maintenance work order. For example, if the lighting equipment in a classroom fails, the system will automatically match maintenance personnel with lighting equipment maintenance skills and check the spare parts inventory to ensure that the maintenance work can proceed smoothly.

[0068] In step S403, the preliminary operation and maintenance work order is sent to the maintenance personnel's mobile device. The maintenance personnel conduct on-site inspection and maintenance operations according to the work order content, which is the key to ensure the smooth progress of maintenance work. Through mobile devices, maintenance personnel can receive work order information in real time, view equipment failure details and maintenance guides, thereby improving maintenance efficiency. For example, after arriving at the site, maintenance personnel can view the maintenance manual of the lighting equipment through a mobile device and perform inspection and maintenance according to the steps.

[0069] In step S404, after the maintenance is completed, the maintenance personnel updates the work order status on the mobile device and uploads the maintenance results and related data to the operation and maintenance management unit, which is the key to ensuring the closed loop of operation and maintenance management. By uploading the maintenance results and related data, the operation and maintenance management unit can grasp the maintenance progress and effect in real time, evaluate the maintenance quality, and provide reference for future maintenance work. For example, if the air conditioning system of a classroom is repaired, the maintenance personnel updates the work order status to "completed" on the mobile device, and uploads the maintenance report and the replacement spare parts information. The operation and maintenance management unit will record the maintenance situation and provide data support for future air conditioning system maintenance.

[0070] In one embodiment of the present invention, the method for the classroom management unit to adjust the use strategy of classroom equipment includes the following step S501:

[0071] S501. Obtain the equipment usage status in the target area, adjust the equipment usage status according to the equipment's energy consumption and the teacher's usage preference, and if there is an operation and maintenance work order for the equipment, determine whether the equipment corresponds to the teacher's usage preference based on the teacher's usage preference. If the equipment corresponds to the teacher's usage preference, adjust the course to a classroom where all equipment corresponding to the teacher's usage preference can operate normally.

[0072] In step S501, by real-time monitoring and analyzing the use of equipment, it can be found which equipment is used more frequently and which equipment has the problem of excessive energy consumption. Combined with the teacher's usage preferences, the use strategy of the equipment can be further optimized to ensure that the equipment can achieve the effect of energy conservation and emission reduction while meeting the teaching needs. If a certain device cannot be used normally due to a fault, and the device happens to be the device corresponding to the usage preference of a certain teacher, the system will automatically adjust the teaching arrangement and arrange the course to a classroom where all the devices corresponding to the teacher's usage preference can operate normally. This can avoid teaching interruptions caused by equipment failure and ensure the smooth progress of teaching activities. For example, if a teacher particularly prefers to use a high-resolution projector for teaching, and the projector cannot be used due to a fault, the system will automatically detect this situation and adjust the course to other classrooms equipped with high-resolution projectors according to the teacher's usage preferences. In this way, teachers can continue to use their preferred teaching equipment to ensure teaching quality and effectiveness.

[0073] Compared with the prior art, the smart classroom management platform based on AI technology in this application has the following beneficial effects:

[0074] 1. Improve equipment operation efficiency: Through real-time monitoring and early warning mechanisms, the system can promptly detect and handle power consumption anomalies, preventing equipment from operating in abnormal conditions for a long time, thereby extending equipment service life and reducing maintenance costs.

[0075] 2. Optimize the operation and maintenance management process: By automatically matching maintenance personnel and spare parts resources, generating preliminary operation and maintenance work orders, and updating the work order status in real time through mobile devices, the operation and maintenance management process is more efficient and transparent, reducing the tediousness and error rate of manual operations.

[0076] 3. Improve teaching quality and satisfaction: By adjusting the classroom equipment usage strategy, ensure that teachers can use the equipment that suits their preferences for teaching, thereby improving teaching effectiveness and teacher satisfaction. At the same time, by reasonably allocating classroom resources, reduce teaching interruptions caused by equipment failures and ensure the continuity of teaching activities.

[0077] 4. Energy saving and emission reduction: By monitoring equipment energy consumption and combining teachers' usage preferences, the system can optimize equipment usage strategies, reduce unnecessary energy consumption, meet the requirements of green campus construction, and help achieve sustainable development.

[0078] 5. Data-driven decision support: The system collects and analyzes a large amount of equipment operation data and operation and maintenance information to provide scientific decision support for school management, helping schools to better plan equipment procurement, maintenance and teaching resource allocation.

[0079] In summary, the smart classroom management platform provided by the present invention realizes intelligent monitoring of equipment operation, automated processing of operation and maintenance management, and optimal configuration of teaching resources by integrating advanced AI technology and Internet of Things technology, providing schools with an efficient, convenient, and energy-saving smart teaching environment.

[0080] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs, which may be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general programmable processor, which may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0081] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0082] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0083] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0084] The systems and techniques described herein may be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), and the Internet.

[0085] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0086] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0087] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A smart classroom management platform based on AI technology, characterized by: The smart classroom management platform includes: a classroom management unit, an early warning information unit, an equipment management unit, an energy consumption management unit, an operation and maintenance management unit and a teaching management unit, wherein: The warning information unit is used to obtain abnormal power consumption information of the equipment in the corresponding classroom, mark the equipment with abnormal power consumption, generate first abnormal warning information, and send it to the operation and maintenance management unit; The device management unit is used to obtain the usage status of each device in the corresponding classroom and adjust the device usage strategy; The energy consumption management unit is used to obtain the energy consumption of the corresponding classroom and adjust the management strategy of the equipment according to the changes in energy consumption; An operation and maintenance management unit, configured to obtain the first abnormal warning information sent by the warning information unit and the second abnormal warning information generated in response to the user operation, and generate an operation and maintenance work order; The classroom management unit is used to obtain classroom information in the target area and adjust the use strategy of classroom equipment according to the use strategy of the equipment management unit, the management strategy of the energy consumption management unit and the completion status of the operation and maintenance work order of the operation and maintenance management unit; A teaching management unit stores a teaching schedule and is used to obtain the classroom situation of the corresponding classroom, including classroom attendance, teacher's device preference, course content and classroom interaction; The classroom management unit is also used to obtain the teacher's preference data on device usage collected by the teaching management unit, and adjust the usage status of the corresponding classroom equipment.

2. The AI-based smart classroom management platform according to claim 1 is characterized in that: The classroom management unit is used to obtain the teacher's preference data on the use of equipment collected by the teaching management unit, and the steps of adjusting the use status of the corresponding classroom equipment include: Obtain the frequency and duration of device use by teachers in different courses, establish the device usage preferences of different teachers through K-means cluster analysis based on the frequency and duration of device use, and send the device usage preference data to the classroom management unit; Acquire the teacher attendance information collected by the teaching management unit, where the teacher attendance information is one of facial portrait information, voiceprint information or IC card information corresponding to the teacher in the corresponding teaching time period, and acquire one or more device usage preference data of the teacher according to the teacher attendance information; Obtain the teaching schedule for the teaching management unit in the corresponding teaching time period, and match the teacher's device usage preference data with the pre-teaching subjects in the teaching schedule; The device usage preference data corresponding to the teacher of the pre-teaching course is sent to the device management unit, and the usage status of the equipment in the classroom is adjusted.

3. The AI-based smart classroom management platform according to claim 1 is characterized in that: The device management unit includes a gateway control subunit and a control device subunit. The gateway control subunit is used to obtain the area to which the gateway device in the corresponding classroom belongs, the device address, the IP address, the number of sub-devices, and the status of the gateway, and update the gateway information and adjust the number of gateway devices according to the status of each gateway; the control device subunit is used to obtain the area to which the control device belongs, the device type, the status, and the online duration, and in response to user input, control and delete the control device according to the device address and status collected by the gateway control subunit.

4. The AI-based smart classroom management platform according to claim 1 is characterized in that: The method in which the energy consumption management unit is used to obtain the energy consumption of the corresponding classroom and adjust the management strategy of the equipment according to the change of energy consumption includes the following steps: Obtain the real-time energy consumption data of the corresponding classroom, including electricity, water and heat, and monitor the energy consumption in the classroom in real time through the data acquisition module; Analyze energy consumption data, identify classrooms with abnormal energy consumption, and conduct comparative analysis through historical energy consumption data to find out the causes of abnormal energy consumption; According to the energy consumption analysis results, formulate corresponding energy-saving strategies and adjust the use time or power of equipment; The energy-saving strategy is sent to the corresponding control device sub-unit through the device management unit to automatically adjust the operating status of the equipment in the classroom.

5. The AI-based smart classroom management platform according to claim 1 is characterized in that: The method for the early warning information unit to obtain abnormal power consumption information of the corresponding equipment in the classroom includes the following steps: Obtaining power consumption information of the equipment in the corresponding classroom in a continuous time period, the power consumption information including current and voltage data of the equipment, and calculating the average value of the current and voltage data in the continuous time period, and sending the average value to the early warning information unit, marking the average value as the early warning threshold; If the current or voltage data of the equipment in the corresponding classroom exceeds the warning threshold, it is determined to be abnormal power consumption, a first abnormal warning message is generated, and the abnormal equipment information is sent to the operation and maintenance management unit.

6. The AI-based smart classroom management platform according to claim 5 is characterized in that: The operation and maintenance management unit is used to process the first abnormal warning information and the second abnormal warning information, and generate a corresponding operation and maintenance work order, including the following steps: Obtaining first abnormal warning information and second abnormal warning information, and classifying and prioritizing the information; According to the abnormal equipment information in the early warning information, the corresponding maintenance personnel and spare parts resources are automatically matched to generate a preliminary operation and maintenance work order; Send the preliminary operation and maintenance work order to the maintenance personnel's mobile device, and the maintenance personnel will conduct on-site inspection and maintenance operations according to the work order content; After the maintenance is completed, the maintenance personnel update the work order status on the mobile device and upload the maintenance results and related data to the operation and maintenance management unit.

7. The AI-based smart classroom management platform according to claim 1 is characterized in that: The classroom information in the target area acquired by the classroom management unit includes the number of buildings in the target area, the number of classrooms in the corresponding buildings, the usage status of the classrooms and the usage status of the equipment in the classrooms.

8. The AI-based smart classroom management platform according to claim 1 is characterized in that: The teaching management unit includes an academic affairs management unit, a regional class inspection unit and a teaching video management unit. The academic affairs management unit stores teaching class schedules, teacher facial portrait information and student facial portrait information; the regional class inspection unit includes a class inspection management subunit and a class inspection record subunit. The class inspection management subunit is used to obtain classroom attendance and classroom interaction, and perform class evaluation operations. The class inspection record subunit is used to search according to conditions such as classroom name, course name, teacher name, date, etc., and obtain all class evaluation records; the teaching video management unit includes a teaching live broadcast subunit and a teaching playback subunit. The teaching live broadcast subunit is used to search according to conditions such as classroom name, course name, teacher name, date, etc., and obtain information on all teachers who are broadcasting live. The teaching playback subunit is used to play back the corresponding teacher's course live broadcast playback.

9. The AI-based smart classroom management platform according to claim 1, characterized in that: The method for adjusting the use strategy of classroom equipment by the classroom management unit comprises the following steps: Obtain the equipment usage status in the target area, adjust the equipment usage status according to the equipment's energy consumption and the teacher's usage preferences, and if there is an operation and maintenance work order for the equipment, determine whether the equipment corresponds to the teacher's usage preferences based on the teacher's usage preferences. If the equipment corresponds to the teacher's usage preferences, adjust the course to a classroom where all equipment corresponding to the teacher's usage preferences can operate normally.

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