CN117350522A - Intelligent classroom management system based on multisource internet of things data - Google Patents
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Abstract
The invention discloses an intelligent classroom management system based on multi-source internet of things data, which relates to the technical field of intelligent classrooms and has the technical key points that: the intelligent classroom utilization degree is obtained through calculation by obtaining the utilization time, the utilization frequency and the number of people in the intelligent classroom, and the intelligent classroom utilization condition is analyzed; taking the operation parameter of the maximum power point of the equipment as a performance index, calculating to obtain an operation state evaluation value of the equipment, and evaluating the operation state of the equipment; taking the intelligent classroom environment data as an evaluation index, obtaining an environment quality evaluation value, and evaluating the intelligent classroom environment quality; therefore, the priorities of the intelligent classrooms are calculated, all the intelligent classrooms are ordered according to the priorities of the intelligent classrooms, and the intelligent classrooms with the largest priority value are preferentially allocated.
Description
Technical Field
The invention relates to the technical field of intelligent classrooms, in particular to an intelligent classroom management system based on multi-source internet of things data.
Background
Traditional classroom management often relies on manual operation and monitoring, and has the problems of low efficiency, high cost, easy error and the like. With the development of the technology of the Internet of things, various devices are connected to the Internet, so that real-time monitoring and control of devices and environments in classrooms can be realized, and the efficiency and accuracy of classroom management are improved.
In the chinese application with application publication number CN214151412U, an intelligent classroom management system is disclosed. The intelligent blackboard comprises a plurality of control terminals, a plurality of control terminals and a plurality of control terminals, wherein the control terminals are used for an administrator to monitor the intelligent blackboard in real time; the intelligent Internet of things management platform is used for providing an access platform of the control terminal; the green light environment subsystem is used for controlling light rays in the intelligent teaching room; the intelligent temperature and humidity environment subsystem is used for controlling the temperature and humidity in the intelligent teaching room; the intelligent air environment subsystem is used for controlling the environment in the intelligent teaching room; the multimedia equipment management subsystem is used for controlling the electronic equipment in the intelligent teaching room; the intelligent power utilization management subsystem is used for managing and controlling power supply in the intelligent teaching room.
In the Chinese application with the application publication number of CN209132626U, an intelligent classroom management system based on the Internet of things is disclosed, and comprises a control center, wherein the input end of the control center is provided with an information acquisition unit, a monitoring unit, a classroom equipment unit and a mobile terminal, the control center comprises a programmable PLC, the information acquisition unit comprises a human body infrared sensor, a correlation sensor, a pressure sensor, a temperature sensor, an air humidity sensor and an illumination sensor, and the monitoring unit comprises a fingerprint identifier, a camera and an electronic display screen; the control center is used for processing data transmitted by the human body infrared sensor, the correlation sensor, the pressure sensor, the temperature sensor, the air humidity sensor and the illumination sensor for monitoring the environment in the classroom and the personnel conditions in the classroom.
In combination with the prior art, the following disadvantages exist:
currently, the allocation and management of many intelligent classrooms still rely on traditional manual or semi-automatic systems, which are usually based on predetermined curriculum schedules or fixed usage arrangements, and cannot be adjusted in real time according to the actual usage situation, which not only results in waste of classroom resources, but also limits the flexibility and efficiency of the intelligent classrooms.
With the rapid development of the internet of things technology, more and more devices are connected to the internet, so that information acquisition and sharing become more convenient. In the educational field, the use of intelligent classrooms is becoming more and more common, but how to effectively manage and optimize the use of classrooms is still a problem worth solving. Existing management systems are generally based on predetermined plans or simple demand predictions, lack consideration of real-time use, and make it difficult to achieve dynamic allocation in classrooms.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the invention provides a multi-source internet of things data-based intelligent classroom management system, which is used for analyzing the use condition of an intelligent classroom by acquiring related data of the use condition of the intelligent classroom, including the use time, the use frequency and the number of people used, calculating and obtaining the use degree Ua of the intelligent classroom; acquiring relevant data of the running state of the equipment according to the running parameters of the maximum power point of the equipmentAs a performance index, calculating to obtain an equipment operation state evaluation value Ev, and evaluating the operation state of the equipment; taking the temperature, the humidity, the air quality index, the noise value and the illumination intensity as evaluation indexes to obtain an environment quality evaluation value Ea, and evaluating the environment quality of the intelligent classroom; therefore, the priority Pr of the intelligent classrooms is calculated and obtained, all the intelligent classrooms are ordered according to the priority Pr of the intelligent classrooms, the intelligent classrooms with the largest priority Pr value are preferentially allocated, and the problems in the background art are solved.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme: an intelligent classroom management system based on multi-source internet of things data, comprising: the intelligent classroom monitoring system comprises a data acquisition module, a data storage module, an intelligent classroom utilization analysis module, an equipment running state analysis module, an environment quality analysis module and an intelligent classroom distribution module; wherein,
the data acquisition module acquires data from the Internet of things equipment in the intelligent studio and transmits the data to the data storage module;
the data storage module encrypts and stores the data collected by the data acquisition module through the database;
the intelligent classroom utilization degree analysis module acquires related data of intelligent classroom utilization conditions, including utilization time, utilization frequency and utilization number, and determines weight coefficients corresponding to the utilization time, the utilization frequency and the utilization number through a hierarchical analysis methodCalculating and obtaining the intelligent classroom utilization Ua, and analyzing the intelligent classroom utilization condition;
the equipment operation state analysis module acquires relevant data of the equipment operation state and uses the operation parameters of the maximum power point of the equipmentAs a performance indicator, the operating parameters of the device are +.>Setting the operation state evaluation function as an independent variable, establishing an equipment operation state evaluation function, calculating to obtain an equipment operation state evaluation value Ev, and evaluating the operation state of the equipment;
the environment quality analysis module takes the temperature, the humidity, the air quality index, the noise value and the illumination intensity as evaluation indexes, sets the standard value of each environment index, and obtains an environment quality evaluation value Ea by calculating the difference value between each environment index and the standard value corresponding to the environment index so as to evaluate the environment quality of the intelligent classroom;
and the intelligent classroom distribution module is used for calculating and obtaining the priority Pr of the intelligent classrooms through the intelligent classroom utilization degree Ua, the equipment running state evaluation value Ev and the environmental quality evaluation value Ea, sequencing all the intelligent classrooms according to the priority Pr of the intelligent classrooms and distributing the intelligent classrooms with the largest priority Pr value preferentially.
Further, the data collected by the data collection module comprises intelligent classroom usage records, equipment running states and environment data, wherein the intelligent classroom usage records comprise usage time, usage frequency and the number of users; the device operating state includes various device operating parameters including current, voltage, and power of the device; the environmental data includes temperature, humidity, air quality index, noise value, and illumination intensity.
Further, the use time, the use frequency and the number of people in the intelligent classroom are used as evaluation indexes; determining the use time, the use frequency and the weight coefficient corresponding to the number of users by an analytic hierarchy process。
Further, by using time, using frequency, using number of people and corresponding weight coefficientThe intelligent classroom use condition is analyzed, dimensionless treatment is carried out, and the intelligent classroom use degree Ua is obtained through calculation, wherein the calculation formula is as follows:
；
where n represents the number of evaluation indexes, i represents the sign of the evaluation index, and f (x) represents the value of the evaluation index.
Further, acquiring relevant data of the running state of the equipment, including current, voltage, power, temperature and pressure running parameters of the equipment;
the operation state of the equipment is evaluated by taking the operation parameter of the maximum power point of the equipment as a performance index;
setting the operation parameters of the equipment as independent variables, establishing an equipment operation state evaluation function after dimensionless processing, and calculating to obtain an equipment operation state evaluation value Ev, wherein the equipment operation state evaluation function is as follows:
；
wherein,an operating parameter denoted as device, j denotes a flag of the operating parameter of the device, < >>Denoted as->And the corresponding standard value m is expressed as the number of parameters.
Further, a device state threshold is preset, when the device running state evaluation value Ev is greater than or equal to the device state threshold, the device is indicated to be abnormal, an early warning is sent out, and related personnel are informed to repair or replace the device.
Further, the specific steps of analyzing the environmental quality of the intelligent classroom and obtaining the environmental quality assessment value Ea include:
acquiring environmental data of a smart classroom, including temperature, humidity, air quality index, noise value and illumination intensity;
taking the temperature, the humidity, the air quality index, the noise value and the illumination intensity as evaluation indexes, and setting the standard value of each environmental index;
through calculating the difference between each environmental index and the standard value corresponding to the environmental index, carrying out dimensionless treatment, and then evaluating the environmental quality of the intelligent classroom to obtain an environmental quality evaluation value Ea, wherein the calculation formula is as follows:
；
wherein Q is the number of environmental quality assessment indexes,values expressed as environmental quality assessment indicators +.>Expressed as a standard value corresponding to each environmental quality assessment index, and q expressed as a label of the environmental quality assessment index.
Further, the specific step of obtaining the priority Pr of the intelligent classroom includes:
acquiring a smart classroom utilization Ua, an equipment running state evaluation value Ev and an environmental quality evaluation value Ea;
the priority Pr of the intelligent classroom is obtained through calculation after dimensionless processing through the intelligent classroom usage degree Ua, the equipment running state evaluation value Ev and the environment quality evaluation value Ea, and the calculation formula is as follows:
；
wherein, gamma and theta are weight coefficients,，/>and->；
And acquiring the priority Pr of all the intelligent classrooms, sorting the intelligent classrooms according to the priority Pr of the intelligent classrooms, and preferentially distributing the intelligent classrooms with the largest priority Pr value to users.
(III) beneficial effects
The invention provides an intelligent classroom management system based on multi-source internet of things data, which has the following beneficial effects:
(1) Through collecting and analyzing the relevant data of intelligent classroom service conditions, the service conditions of the intelligent classroom are comprehensively known, management staff, teachers and students can better know the utilization conditions of intelligent classroom resources, references are provided for optimizing intelligent classroom resource allocation, resource management and allocation are more efficiently carried out, and resource waste and management cost are reduced.
(2) By acquiring the relevant data of the running state of the equipment, taking the running parameter of the maximum power point of the equipment as a performance index, and establishing an equipment running state evaluation function, the running state of the equipment can be accurately evaluated, the actual running parameter and the performance of the equipment are considered in the evaluation mode, the actual state of the equipment can be more accurately reflected, intelligent classroom resources can be more reasonably allocated according to the information, the intelligent classroom with good equipment state can be ensured to meet teaching requirements preferentially, and the utilization efficiency of the intelligent classroom is improved.
(3) Through evaluating intelligent classroom environment quality, can satisfy student's study demand and teaching demand better, improve teaching quality and study experience, simultaneously, because intelligent classroom environment quality is better, the demand that uses equipment to improve is lower, can save more resources, reduces unnecessary consumption.
(4) Through evaluating the service condition of the classrooms, the service condition and the demand of each classroom can be known, the classroom resources are more reasonably distributed, the waste and the idleness of the classroom resources are avoided, the utilization rate of the classrooms is improved, the equipment failure or the environmental problem can be timely found and solved through evaluating the equipment running state and the environmental quality of the intelligent classrooms, and the stability and the persistence of teaching are avoided being influenced by the equipment failure or the environmental problem.
Drawings
FIG. 1 is a diagram showing the construction of a smart classroom management system according to the present invention;
FIG. 2 is a schematic diagram of a smart classroom management system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 to 2, the present invention provides a smart classroom management system based on multi-source internet of things data, comprising: the intelligent classroom monitoring system comprises a data acquisition module, a data storage module, an intelligent classroom utilization analysis module, an equipment running state analysis module, an environment quality analysis module and an intelligent classroom distribution module; wherein,
the data acquisition module acquires data from various Internet of things devices (such as a temperature sensor, a humidity sensor, illumination equipment, a camera and the like) in the intelligent classroom and transmits the data to the data storage module;
the data collected by the data collection module comprises intelligent classroom usage records, equipment running states and environment data, wherein the intelligent classroom usage records comprise usage time, usage frequency and the number of users; the device operating conditions include various device operating parameters including, but not limited to, current, voltage, power, temperature, pressure, etc. of the device; the environmental data includes temperature, humidity, air quality index, noise value and illumination intensity;
the data acquisition module processes the collected data, including removing invalid data, cleaning data, converting data and the like, so as to ensure the accuracy and the integrity of the data.
And the data storage module is used for encrypting and storing the data collected by the data acquisition module through the database so as to facilitate subsequent data analysis.
The intelligent classroom utilization degree analysis module acquires related data of intelligent classroom utilization conditions, including utilization time, utilization frequency and utilization number, and determines weight coefficients corresponding to the utilization time, the utilization frequency and the utilization number through a hierarchical analysis methodCalculating and obtaining the intelligent classroom utilization Ua, and analyzing the intelligent classroom utilization condition;
the method for analyzing the usage situation of the intelligent classroom and obtaining the usage Ua of the intelligent classroom comprises the following specific steps:
acquiring relevant data of the use condition of the intelligent classroom, wherein the relevant data comprise the use time, the use frequency and the number of users, and taking the use time, the use frequency and the number of users of the intelligent classroom as evaluation indexes;
determining the use time, the use frequency and the weight coefficient corresponding to the number of users by an analytic hierarchy process；
It should be noted that, the analytic hierarchy process is a qualitative and quantitative combined analysis method, which can decompose a complex problem into multiple layers, and by comparing the importance of the factors of each layer, it can help a decision maker to make a decision on the complex problem, and determine a final decision scheme, and in this process, the analytic hierarchy process can be used to determine the weight coefficients of the indexes.
By using time, using frequency, using number of people and corresponding weight coefficientThe intelligent classroom use condition is analyzed, dimensionless treatment is carried out, and the intelligent classroom use degree Ua is obtained through calculation, wherein the calculation formula is as follows:
；
where n represents the number of evaluation indexes, i represents the sign of the evaluation index, and f (x) represents the value of the evaluation index.
It should be noted that the purpose of this module is to evaluate the usage situation of the intelligent classroom by collecting and analyzing the relevant data of the usage situation of the intelligent classroom, including the usage time, the usage frequency, the number of users, etc., and according to the calculated usage degree Ua of the intelligent classroom, the usage situation of the intelligent classroom can be analyzed and evaluated, for example, if Ua value is low, measures may need to be taken to improve the usage efficiency or the usage effect of the intelligent classroom, and these measures may include improving the facilities of the intelligent classroom, optimizing the teaching plan, improving the teaching quality, etc.
Through collecting and analyzing the relevant data of intelligent classroom service conditions, the service conditions of the intelligent classroom can be comprehensively known, management staff, teachers and students can better know the utilization conditions of intelligent classroom resources, references are provided for optimizing intelligent classroom resource allocation, resource management and allocation can be more efficiently carried out, and resource waste and management cost can be reduced.
The equipment operation state analysis module acquires relevant data of the equipment operation state and uses the operation parameters of the maximum power point of the equipmentAs a performance indicator, the operating parameters of the device are +.>Setting the operation state evaluation function as an independent variable, establishing an equipment operation state evaluation function, calculating to obtain an equipment operation state evaluation value Ev, and evaluating the operation state of the equipment;
the specific steps of analyzing the running state of the equipment and obtaining the evaluation value Ev of the running state of the equipment include:
acquiring equipment operation state related data including, but not limited to, operation parameters such as current, voltage, power, temperature, pressure and the like of equipment;
it should be noted that the performance indexes of different devices may be different, and each device has its specific operation parameters and performance indexes, where the parameters and indexes are determined according to the type, use and working environment of the device, so when the operation state of the device is evaluated, the corresponding operation parameters and indexes need to be selected for analysis and evaluation according to the characteristics and performance requirements of the specific device.
The operation state of the equipment is evaluated by taking the operation parameter of the maximum power point of the equipment as a performance index;
setting operation parameters such as operation power, operation voltage and current of the equipment as independent variables, establishing an equipment operation state evaluation function after dimensionless treatment, and calculating to obtain an equipment operation state evaluation value Ev, wherein the equipment operation state evaluation function is as follows:
；
wherein,an operating parameter denoted as device, j denotes a flag of the operating parameter of the device, < >>Denoted as->The corresponding standard value, m, is expressed as the number of parameters;
and presetting a device state threshold, and when the device running state evaluation value Ev is greater than or equal to the device state threshold, indicating that the device is abnormal, sending out early warning and notifying related personnel to repair or replace the device.
It should be noted that, the setting of the device status threshold needs to be comprehensively considered and analyzed according to the performance index, the running environment, the service life, the maintenance history and other factors of the specific device, so as to determine an appropriate threshold range. In addition, it is also necessary to continuously accumulate operational data and experience in order to adjust and optimize the device status threshold in time, ensuring the proper operation and management of the device.
By acquiring the relevant data of the running state of the equipment, taking the running parameter of the maximum power point of the equipment as a performance index, and establishing an equipment running state evaluation function, the running state of the equipment can be accurately evaluated, the actual running parameter and the performance of the equipment are considered in the evaluation mode, the actual state of the equipment can be more accurately reflected, intelligent classroom resources can be more reasonably allocated according to the information, the intelligent classroom with good equipment state can be ensured to meet teaching requirements preferentially, and the utilization efficiency of the intelligent classroom is improved.
The environment quality analysis module takes the temperature, the humidity, the air quality index, the noise value and the illumination intensity as evaluation indexes, sets the standard value of each environment index, and obtains an environment quality evaluation value Ea by calculating the difference value between each environment index and the standard value corresponding to the environment index so as to evaluate the environment quality of the intelligent classroom;
the specific steps for analyzing the environmental quality of the intelligent classroom and obtaining the environmental quality assessment value Ea comprise the following steps:
acquiring environmental data of a smart classroom, including temperature, humidity, air quality index, noise value and illumination intensity;
taking the temperature, the humidity, the air quality index, the noise value and the illumination intensity as evaluation indexes, and setting the standard value of each environmental index;
through calculating the difference between each environmental index and the standard value corresponding to the environmental index, carrying out dimensionless treatment, and then evaluating the environmental quality of the intelligent classroom to obtain an environmental quality evaluation value Ea, wherein the calculation formula is as follows:
；
wherein Q is the number of environmental quality assessment indexes,values expressed as environmental quality assessment indicators +.>Expressed as a standard value corresponding to each environmental quality assessment index, and q expressed as a label of the environmental quality assessment index.
It should be noted that, when the difference between the value of the environmental quality evaluation index and the corresponding standard value is larger, the environmental quality evaluation value is larger, which means that the environmental quality is worse, whereas, the environmental quality evaluation value is smaller, which means that the environmental quality is better, and when the environmental quality is worse, not only is teaching unsuitable, but also in order to improve the more resources consumed by the environmental quality enabling device, the environmental quality of the intelligent classroom needs to be evaluated, and the intelligent classroom with better environmental quality needs to be selected as much as possible.
Through evaluating intelligent classroom environment quality, can satisfy student's study demand and teaching demand better, improve teaching quality and study experience, simultaneously, because intelligent classroom environment quality is better, the demand that uses equipment to improve is lower, can save more resources, reduces unnecessary consumption.
And the intelligent classroom distribution module is used for calculating and obtaining the priority Pr of the intelligent classrooms through the intelligent classroom utilization degree Ua, the equipment running state evaluation value Ev and the environmental quality evaluation value Ea, sequencing all the intelligent classrooms according to the priority Pr of the intelligent classrooms and distributing the intelligent classrooms with the largest priority Pr value preferentially.
The specific allocation process of the intelligent classroom is as follows:
acquiring a smart classroom utilization Ua, an equipment running state evaluation value Ev and an environmental quality evaluation value Ea;
the priority Pr of the intelligent classroom is obtained through calculation after dimensionless processing through the intelligent classroom usage degree Ua, the equipment running state evaluation value Ev and the environment quality evaluation value Ea, and the calculation formula is as follows:
；
wherein, gamma and theta are weight coefficients,，/>and->；
And acquiring the priority Pr of all the intelligent classrooms, sorting the intelligent classrooms according to the priority Pr of the intelligent classrooms, and preferentially distributing the intelligent classrooms with the largest priority Pr value to users.
It should be noted that the allocation scheme of the intelligent classroom is not invariable, but needs to be dynamically adjusted according to the actual situation. For example, during certain specific time periods, the utilization rate of some classrooms may be too high, while the utilization rate of other classrooms is low, so that during these time periods, the allocation scheme may be adjusted, and the utilization efficiency and management efficiency of the classrooms are improved.
Through evaluating the service condition of the classrooms, the service condition and the demand of each classroom can be known, the classroom resources are more reasonably distributed, the waste and the idleness of the classroom resources are avoided, the utilization rate of the classrooms is improved, the equipment failure or the environmental problem can be timely found and solved through evaluating the equipment running state and the environmental quality of the intelligent classrooms, and the stability and the persistence of teaching are avoided being influenced by the equipment failure or the environmental problem.
In the application, the related formulas are all the numerical calculation after dimensionality removal, and the formulas are one formulas for obtaining the latest real situation by software simulation through collecting a large amount of data, and the formulas are set by a person skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product. Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes and substitutions are intended to be covered by the scope of the present application.
Claims (8)
1. A smart classroom management system based on multisource internet of things data is characterized by comprising: the intelligent classroom monitoring system comprises a data acquisition module, a data storage module, an intelligent classroom utilization analysis module, an equipment running state analysis module, an environment quality analysis module and an intelligent classroom distribution module; wherein,
the data acquisition module acquires data from the Internet of things equipment in the intelligent studio and transmits the data to the data storage module;
the data storage module encrypts and stores the data collected by the data acquisition module through the database;
the intelligent classroom utilization degree analysis module acquires related data of intelligent classroom utilization conditions, including utilization time, utilization frequency and utilization number, and determines weight coefficients corresponding to the utilization time, the utilization frequency and the utilization number through a hierarchical analysis methodCalculating and obtaining the intelligent classroom utilization Ua, and analyzing the intelligent classroom utilization condition;
the equipment operation state analysis module acquires relevant data of the equipment operation state and uses the operation parameters of the maximum power point of the equipmentAs a performance indicator, the operating parameters of the device are +.>Setting the operation state evaluation function as an independent variable, establishing an equipment operation state evaluation function, calculating to obtain an equipment operation state evaluation value Ev, and evaluating the operation state of the equipment;
the environment quality analysis module takes the temperature, the humidity, the air quality index, the noise value and the illumination intensity as evaluation indexes, sets the standard value of each environment index, and obtains an environment quality evaluation value Ea by calculating the difference value between each environment index and the standard value corresponding to the environment index so as to evaluate the environment quality of the intelligent classroom;
and the intelligent classroom distribution module is used for calculating and obtaining the priority Pr of the intelligent classrooms through the intelligent classroom utilization degree Ua, the equipment running state evaluation value Ev and the environmental quality evaluation value Ea, sequencing all the intelligent classrooms according to the priority Pr of the intelligent classrooms and distributing the intelligent classrooms with the largest priority Pr value to users preferentially.
2. The intelligent classroom management system based on multi-source internet of things data of claim 1 wherein the data collected by the data collection module includes intelligent classroom usage records including time of use, frequency of use, and number of people in use, equipment operating status, and environmental data; the device operating state includes various device operating parameters including current, voltage, and power of the device; the environmental data includes temperature, humidity, air quality index, noise value, and illumination intensity.
3. The intelligent classroom management system based on the multi-source internet of things data as set forth in claim 1, wherein the use time, the use frequency and the number of people in the intelligent classroom are used as evaluation indexes; determining the use time, the use frequency and the weight coefficient corresponding to the number of users by an analytic hierarchy process。
4. According toA multi-source internet of things data based intelligent classroom management system as claimed in claim 3, wherein the time, frequency and number of users and corresponding weight coefficients are usedThe intelligent classroom use condition is analyzed, dimensionless treatment is carried out, and the intelligent classroom use degree Ua is obtained through calculation, wherein the calculation formula is as follows:
；
where n represents the number of evaluation indexes, i represents the sign of the evaluation index, and f (x) represents the value of the evaluation index.
5. The intelligent classroom management system based on multi-source internet of things data of claim 1 wherein the acquired device operational status related data includes current, voltage, power, temperature and pressure operational parameters of the device;
the operation state of the equipment is evaluated by taking the operation parameter of the maximum power point of the equipment as a performance index;
setting the operation parameters of the equipment as independent variables, establishing an equipment operation state evaluation function after dimensionless processing, and calculating to obtain an equipment operation state evaluation value Ev, wherein the equipment operation state evaluation function is as follows:
；
wherein,an operating parameter denoted as device, j denotes a flag of the operating parameter of the device, < >>Denoted as->And the corresponding standard value m is expressed as the number of parameters.
6. The intelligent classroom management system based on the multi-source internet of things data according to claim 5, wherein the device state threshold is preset, when the device running state evaluation value Ev is greater than or equal to the device state threshold, the abnormality of the device is indicated, and an early warning is sent to inform related personnel to repair or replace the device.
7. The intelligent classroom management system based on multi-source internet of things data according to claim 1, wherein the specific step of analyzing the intelligent classroom environment quality to obtain the environment quality assessment value Ea comprises:
acquiring environmental data of a smart classroom, including temperature, humidity, air quality index, noise value and illumination intensity;
taking the temperature, the humidity, the air quality index, the noise value and the illumination intensity as evaluation indexes, and setting the standard value of each environmental index; through calculating the difference between each environmental index and the standard value corresponding to the environmental index, carrying out dimensionless treatment, and then evaluating the environmental quality of the intelligent classroom to obtain an environmental quality evaluation value Ea, wherein the calculation formula is as follows:
；
wherein Q is the number of environmental quality assessment indexes,values expressed as environmental quality assessment indicators +.>Expressed as a standard value corresponding to each environmental quality assessment index, and q expressed as a label of the environmental quality assessment index.
8. The intelligent classroom management system based on multi-source internet of things data according to claim 1, wherein the specific step of obtaining the priority Pr of the intelligent classroom comprises:
the intelligent classroom utilization degree Ua, the equipment running state evaluation value Ev and the environment quality evaluation value Ea are obtained, dimensionless processing is carried out, and then the priority Pr of the intelligent classroom is obtained through calculation, wherein the calculation formula is as follows:
；
wherein, gamma and theta are weight coefficients,，/>and->；
And acquiring the priority Pr of all the intelligent classrooms, sorting the intelligent classrooms according to the priority Pr of the intelligent classrooms, and preferentially distributing the intelligent classrooms with the largest priority Pr value to users.
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