Home study environment intelligent management system based on augmented reality technology

Abstract

The invention discloses a home study environment intelligent management system based on an augmented reality technology, relates to the field of smart home, and solves the problems that the environment management of a home study generally can be integrally regulated and controlled, and the home study environment is not finely managed and controlled. Comprising a comprehensive processing module, a study monitoring module, a personnel monitoring module, a temperature and humidity analysis module and an illumination analysis module, an image acquisition module is used for acquiring study image data when nobody is in a family study, and the personnel monitoring module is used for monitoring and identifying personnel information in the family study; the comprehensive processing module is used for generating a virtual study model corresponding to a family study, the study monitoring module is used for collecting real-time environment data of the family study, the temperature and humidity analysis module is used for analyzing the temperature and humidity conditions of the family study, and the illumination analysis module is used for analyzing the illumination conditions of the family study. According to the invention, refined management and control and accurate judgment of the environment in the family study are realized.

Description

Technical Field

[0001] The present invention belongs to the field of smart home and relates to augmented reality technology, in particular to an intelligent management system for a home study environment based on augmented reality technology. Background Art

[0002] Virtual reality is a computer-generated simulated environment that allows users to feel and experience the virtual world in an immersive way, while augmented reality technology combines virtual information with the actual environment, providing a rich visual and interactive experience by superimposing virtual elements in the real world. It is currently widely used in a variety of industries, such as the gaming industry, the education industry, and the construction industry. When augmented reality technology is applied to a family study, the layout of the family study can be obtained more clearly, making it easier to manage the family study.

[0003] However, at present, the environmental management of home study rooms usually considers the temperature and humidity in the home study room as a whole, without fine-grained environmental control of the home study room, nor is there any judgment and analysis of the environmental conditions in the home study room based on the usage habits of different users;

[0004] To this end, we propose an intelligent management system for home study environment based on augmented reality technology. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention aims to provide an intelligent management system for a home study environment based on augmented reality technology.

[0006] The technical problems to be solved by the present invention are:

[0007] How to achieve refined control and accurate judgment of the home study environment based on augmented reality technology.

[0008] In order to achieve the above object, the present invention adopts the following technical solutions:

[0009] In a first aspect, an intelligent management system for a home study environment based on augmented reality technology includes an image acquisition module, a comprehensive processing module, a study monitoring module, a personnel monitoring module, a temperature and humidity analysis module, a lighting analysis module, a database, and a control module; the image acquisition module is used to collect image data of the study when no one is in the home study, and send the image data of the study when no one is in the home study to the comprehensive processing module; the database is used to store preset personnel characteristics corresponding to different personnel numbers in the home study and to store personnel habit data corresponding to different personnel numbers in the home study;

[0010] The personnel monitoring module is used to monitor and identify the personnel information in the home study, and if a matching person is identified, the person's number is sent to the temperature and humidity analysis module and the lighting analysis module;

[0011] The comprehensive processing module is used to generate a virtual study model corresponding to the home study, and divide the home study into multiple functional areas according to the study equipment. The comprehensive processing module sends the functional areas in the virtual study model corresponding to the home study to the study monitoring module; the study monitoring module is used to collect real-time environmental data of the home study, and send the real-time environmental data of the home study to the temperature and humidity analysis module and the lighting analysis module;

[0012] The temperature and humidity analysis module is used to analyze the temperature and humidity conditions of the home study, and the analysis generates a normal environment signal or an environment control signal and sends it to the control module. The control module is used to control the environment of the home study after receiving the environment control signal; the lighting analysis module is used to analyze the lighting conditions of the home study, and the analysis generates a brightness control signal or a normal brightness signal and sends it to the control module. The control module is used to control the brightness of different functional areas in the home study after receiving the brightness control signal.

[0013] Furthermore, the study room image data includes the outer contours of various study room devices inside the home study room and the relative position coordinates between each type of study room device;

[0014] The real-time environmental data includes the real-time temperature value, the real-time humidity value, and the real-time brightness value of the home study room corresponding to different functional areas.

[0015] Furthermore, the preset personnel characteristics are the preset height and preset body proportions of the user, the preset body proportions are the ratios of body part lengths to height, and the body part lengths include torso length, leg length, arm length and shoulder width.

[0016] Furthermore, the working process of the personnel monitoring module is as follows:

[0017] Determine whether there is a user in the home study room. If it is determined that there is no user in the home study room, no operation will be performed;

[0018] If it is determined that there is a person using the home study, the real-time height and real-time body proportion STBn of the person in the home study are collected, where n is the number of each body part;

[0019] Then, the preset personnel characteristics of all preset personnel stored in the database are obtained to obtain the preset height and preset body proportion YTBn;

[0020] Compare the real-time height with the preset height. If the height difference between the real-time height and the preset height is less than or equal to the preset difference, proceed to the next step. If the height difference between the real-time height and the preset height is greater than the preset difference, no operation is performed.

[0021] The real-time body proportion is compared with the preset body proportion. If the difference between the real-time body proportion and the preset body proportion is less than or equal to the preset difference, the corresponding person is marked as a candidate. If the difference between the real-time body proportion and the preset body proportion is less than or equal to the preset difference, no operation is performed.

[0022] Count the number of candidates in the family study room at this time. If the number of candidates in the family study room is 1, obtain the candidate ID of the candidate in the family study room.

[0023] If the number of candidates in the family study is not 1, the personnel matching value RPP of the candidates is calculated by the formula;

[0024] Arrange the personnel matching values ​​in descending order, and select the candidate with the highest personnel matching value as the matching person for the family study.

[0025] Furthermore, the calculation formula of the personnel matching value is as follows:

[0026] Where e is a natural constant.

[0027] Furthermore, the personnel habit data includes a preset temperature value and a preset humidity value set by the user for the home study, and a preset brightness value set by the user according to the functional areas in the home study.

[0028] Furthermore, the analysis process of the temperature and humidity analysis module is as follows:

[0029] Obtain the personnel number of the matching person in the home study, obtain the personnel habit data corresponding to the matching person in the home study according to the personnel number, and then obtain the personnel preset temperature value YWDi and personnel preset humidity value YSDi of the matching person in the home study, where i is the personnel number of the matching person;

[0030] Then obtain the real-time temperature value SWDi and real-time humidity value SSDi of the home study room;

[0031] The environmental deviation value HPi in the family study is calculated by the formula;

[0032] If the environmental deviation value is less than or equal to the environmental deviation threshold, a normal environmental signal is generated;

[0033] If the environmental deviation value is greater than the environmental deviation threshold, an environmental control signal is generated.

[0034] Furthermore, the calculation formula of the environmental deviation value is as follows:

[0035] HPi=|SWDi-YWDi|×a1+|SSDi-YSDi|×a2; wherein a1 and a2 are weight coefficients with fixed values, and a1=a2.

[0036] Furthermore, the analysis process of the lighting analysis module is specifically as follows:

[0037] According to the personnel number, the preset brightness value set by the user according to the functional area in the home study is obtained;

[0038] Then obtain the real-time brightness values ​​of different functional areas in the home study;

[0039] Compare the real-time brightness value of the functional area in the home study room with the preset brightness value set by the user according to the functional area in the home study room;

[0040] If the difference between the real-time brightness value and the preset brightness value is less than or equal to the preset brightness difference value, the functional area corresponding to the real-time brightness value is recorded as the normal brightness functional area;

[0041] If the difference between the real-time brightness value and the preset brightness value is greater than the preset brightness difference, the functional area corresponding to the real-time brightness value is recorded as the brightness abnormality functional area.

[0042] Furthermore, the analysis process of the lighting analysis module also includes:

[0043] The number of abnormal brightness functional areas is counted and recorded as the number of abnormal brightness functional areas. The number of abnormal brightness functional areas is compared with the total number of functional areas to obtain the abnormal brightness rate of the family study room.

[0044] If the regional brightness abnormality rate exceeds the preset regional brightness abnormality rate, a brightness control signal is generated;

[0045] If the regional brightness abnormality rate does not exceed the preset regional brightness abnormality rate, a brightness normal signal is generated.

[0046] In the second aspect, a method for intelligent management of a home study environment based on augmented reality technology is provided, and the method is specifically as follows:

[0047] Step S101, the personnel monitoring module monitors and identifies the personnel information in the home study, and if there is a matching person, the person's number is sent to the temperature and humidity analysis module and the lighting analysis module.

[0048] Step S102, the image acquisition module acquires study image data when no one is in the home study, and sends the study image data when no one is in the home study to the comprehensive processing module, the comprehensive processing module generates a virtual study model corresponding to the home study, and divides the home study into multiple functional areas according to the study equipment, and the functional areas in the virtual study model are sent to the study monitoring module;

[0049] Step S103, the study monitoring module collects real-time environmental data of the family study, and sends the real-time environmental data of the family study to the temperature and humidity analysis module and the lighting analysis module;

[0050] Step S104, the temperature and humidity analysis module analyzes the temperature and humidity conditions of the home study, and sends a normal environment signal or an environment control signal to the control module;

[0051] Step S105, the lighting analysis module analyzes the lighting conditions of the home study, generates a brightness control signal or a normal brightness signal and sends it to the control module, and the control module controls the temperature and humidity of the home study and the brightness of the functional areas in the home study.

[0052] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0053] 1. The present invention uses an image acquisition module to collect study image data when no one is in the family study, and sends the study image data when no one is in the family study to a comprehensive processing module, the comprehensive processing module generates a virtual study model corresponding to the family study, and divides the family study into multiple functional areas according to the study equipment, the functional areas in the virtual study model are sent to the study monitoring module, the study monitoring module collects real-time environmental data of the family study, and sends the real-time environmental data of the family study to the temperature and humidity analysis module and the lighting analysis module;

[0054] 2. The present invention utilizes a personnel monitoring module to monitor and identify personnel information in a home study. If there is a matching person, the personnel number is sent to the temperature and humidity analysis module and the lighting analysis module. On the one hand, the temperature and humidity analysis module is used to analyze the temperature and humidity conditions of the home study, and the normal environmental signal or the environmental control signal is sent to the control module. On the other hand, the lighting analysis module is used to analyze the lighting conditions of the home study, and the brightness control signal or the normal brightness signal is generated and sent to the control module. Finally, the temperature and humidity of the home study and the brightness of the functional areas in the home study are controlled by the control module. The present invention is based on augmented reality technology to achieve refined control and accurate judgment of the environment in the home study. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0056] Figure 1 is the overall system block diagram of the present invention;

[0057] Figure 2 is another system block diagram of the present invention;

[0058] Figure 3 is a flow chart of the method of the present invention;

[0059] Figure 4 This is another method flow chart of the present invention. DETAILED DESCRIPTION

[0060] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] Embodiment 1:

[0062] See also Figure 1 As shown, the technical solution provided by the present invention is: an intelligent management system for a home study environment based on augmented reality technology, including an image acquisition module, a comprehensive processing module, a study monitoring module, a personnel monitoring module, a temperature and humidity analysis module, a lighting analysis module, a database and a control module;

[0063] The image acquisition module is used to collect the study room image data when no one is in the family study room, and send the study room image data when no one is in the family study room to the comprehensive processing module;

[0064] It should be specifically noted that the study room image data includes the outer contours of various study room equipment inside the home study room and the relative position coordinates between each type of study room equipment, wherein the study room equipment includes items such as desks, chairs, and bookshelves in the home study room;

[0065] In this embodiment, the database is used to store preset personnel characteristics of users corresponding to different personnel numbers in the home study, the preset personnel characteristics are the preset height and preset body proportions of the users, the preset body proportions refer to the ratio of body part length to height, the body part length includes torso length, leg length, arm length and shoulder width, etc., because each person's body structure and proportions are unique, different individuals can be identified and distinguished by differences in body proportions. For example, a user in the home study has a height of 180 cm and a torso length of 85 cm, and the ratio of torso length to height is 85 / 180.

[0066] In this embodiment, the personnel monitoring module is used to monitor and identify the personnel information in the home study room, and the working process is as follows:

[0067] The infrared thermal sensor installed inside the home study room is used to determine whether there is a person in the home study room. The infrared thermal sensor can sense and identify infrared radiation emitted by the human body. The wavelength of infrared radiation emitted by the human body is between 8 and 14 microns.

[0068] If the infrared radiation emitted by the human body cannot be sensed, it is determined that there is no person in the home study room and the subsequent steps will not be carried out;

[0069] If the infrared radiation emitted by the human body is successfully sensed, it is determined that there is a person in the home study room, and the real-time height and real-time body proportion STBn of the person in the home study room are collected through the camera, where n is the number of each part of the body;

[0070] Obtain the preset personnel characteristics of all preset personnel stored in the database, and obtain the preset height and preset body proportion YTBn;

[0071] Compare the real-time height with the preset height. If the height difference between the real-time height and the preset height is less than or equal to the preset difference, proceed to the next step. If the height difference between the real-time height and the preset height is greater than the preset difference, no operation is performed.

[0072] The real-time body proportion is compared with the preset body proportion. If the difference between the real-time body proportion and the preset body proportion is less than or equal to the preset difference, the corresponding person is marked as a candidate. If the difference between the real-time body proportion and the preset body proportion is less than or equal to the preset difference, no operation is performed.

[0073] Count the number of candidates in the family study room at this time. If the number of candidates in the family study room is 1, obtain the candidate ID of the candidate in the family study room.

[0074] If the number of candidates in the family study is not 1, the personnel matching value RPP of the candidates is calculated by the formula, and the specific formula is as follows:

[0075] In the formula, e is a natural constant;

[0076] Arrange the personnel matching values ​​in descending order, and select the candidate with the highest personnel matching value as the matching person for the family study room;

[0077] The personnel monitoring module sends the personnel number of the matching personnel to the temperature and humidity analysis module and the lighting analysis module.

[0078] As a further solution of the present invention, the comprehensive processing module is used to generate a virtual study model corresponding to the home study, and divide the home study into multiple functional areas according to the study equipment, and the comprehensive processing module sends the functional areas in the virtual study model corresponding to the home study to the study monitoring module;

[0079] Among them, the comprehensive processing module is equipped with 3D modeling software and 3D reconstruction algorithm. By reading the outer contour of each study equipment in the home study, a 3D model of the corresponding study equipment is generated, and then the virtual study model corresponding to the home study is generated through the relative position coordinates of each study equipment in the home study. Compared with the home study in real life, the virtual study model has a higher degree of visualization, and the layout structure of the home study can be better viewed; among them, the 3D modeling technology is a relatively developed technology at this stage, and a model with 3D data is constructed through a virtual 3D space using 3D production software; when the functional areas are specifically divided, they are divided according to the functionality of the study equipment in the home study, for example, the area where the desks, computers and filing cabinets used for office work are located is divided into the work area, the area where the desks, chairs and bookcases used for reading are located is divided into the reading area, and the area where the bookshelves and filing cabinets used for storage are located is divided into the storage area;

[0080] Furthermore, the database is also used to store the personnel habit data of the users corresponding to different personnel numbers in the home study, the personnel habit data being the personnel preset temperature value and the personnel preset humidity value set by the user's home study, and the preset brightness value set by the user according to the functional area in the home study;

[0081] The study monitoring module is used to collect real-time environmental data of the family study and send the real-time environmental data of the family study to the temperature and humidity analysis module and the lighting analysis module;

[0082] It should be specifically noted that the real-time environmental data specifically includes the real-time temperature value, real-time humidity value, and real-time brightness value of different functional areas of the home study. In practice, the study monitoring module can be different sensors and corresponding acquisition devices. The sensors can specifically be temperature sensors, humidity sensors, and brightness sensors, etc.;

[0083] The temperature and humidity analysis module is used to analyze the temperature and humidity conditions of the family study room. The analysis process is as follows:

[0084] Obtain the personnel number of the matching person in the home study, obtain the personnel habit data corresponding to the matching person in the home study according to the personnel number, and then obtain the personnel preset temperature value YWDi and personnel preset humidity value YSDi of the matching person in the home study, where i is the personnel number of the matching person;

[0085] Then obtain the real-time temperature value SWDi and real-time humidity value SSDi of the home study room;

[0086] The environmental deviation value HPi in the home study is calculated by the formula, and the specific formula is as follows:

[0087] HPi=|SWDi-YWDi|×a1+|SSDi-YSDi|×a2; where a1 and a2 are weight coefficients with fixed values, and a1=a2;

[0088] If the environmental deviation value is less than or equal to the environmental deviation threshold, a normal environmental signal is generated;

[0089] If the environmental deviation value is greater than the environmental deviation threshold, an environmental control signal is generated;

[0090] The temperature and humidity analysis module sends a normal environment signal or an environment control signal to the control module, and the control module is used to control the environment of the family study after receiving the environment control signal;

[0091] Furthermore, the lighting analysis module is used to analyze the lighting conditions of the home study room, and the analysis process is specifically as follows:

[0092] According to the personnel number, the preset brightness value YLDni set by the user according to the functional area in the home study is obtained;

[0093] Then obtain the real-time brightness values ​​SLDni of different functional areas in the home study;

[0094] Compare the real-time brightness value of the functional area in the home study room with the preset brightness value set by the user according to the functional area in the home study room;

[0095] If the difference between the real-time brightness value and the preset brightness value is less than or equal to the preset brightness difference value, the functional area corresponding to the real-time brightness value is recorded as the normal brightness functional area;

[0096] If the difference between the real-time brightness value and the preset brightness value is greater than the preset brightness difference, the functional area corresponding to the real-time brightness value is recorded as the brightness abnormal functional area;

[0097] The number of abnormal brightness functional areas is counted and recorded as the number of abnormal brightness functional areas. The number of abnormal brightness functional areas is compared with the total number of functional areas to obtain the abnormal brightness rate of the family study room.

[0098] If the regional brightness abnormality rate exceeds the preset regional brightness abnormality rate, a brightness control signal is generated;

[0099] If the regional brightness abnormality rate does not exceed the preset regional brightness abnormality rate, a brightness normal signal is generated;

[0100] The lighting analysis module sends the brightness control signal or the normal brightness signal to the control module, and the control module is used to control the brightness of different functional areas in the family study after receiving the brightness control signal;

[0101] In practice, the control module is a master switch in the home study, which controls the activation and deactivation of indoor appliances such as windows, humidifiers, and air conditioners.

[0102] In the present embodiment, due to the adoption of the above-mentioned technical scheme, the image acquisition module acquires the study room image data when no one is in the home study room, and sends the study room image data when no one is in the home study room to the comprehensive processing module, the comprehensive processing module generates a virtual study room model corresponding to the home study room, and divides the home study room into multiple functional areas according to the study room equipment, the functional areas in the virtual study room model are sent to the study room monitoring module, the study room monitoring module acquires the real-time environmental data of the home study room, and sends the real-time environmental data of the home study room to the temperature and humidity analysis module and the lighting analysis module, and at the same time, the personnel information in the home study room is collected by the personnel monitoring module Monitoring and identification are carried out. If there is a matching person, his / her personnel number is sent to the temperature and humidity analysis module and the lighting analysis module. On the one hand, the temperature and humidity analysis module is used to analyze the temperature and humidity conditions of the home study, and the normal environment signal or the environment control signal is sent to the control module. On the other hand, the lighting analysis module is used to analyze the lighting conditions of the home study, and the brightness control signal or the normal brightness signal is generated by the analysis and sent to the control module. Finally, the temperature and humidity of the home study and the brightness of the functional areas in the home study are controlled by the control module. Based on augmented reality technology, the present invention realizes refined control and accurate judgment of the environment in the home study.

[0103] Embodiment 2:

[0104] like Figure 2 As shown, different from Example 1, the system further includes a data acquisition module, a regional analysis module and a display terminal;

[0105] The data acquisition module is used to record the regional usage data of the functional areas in the family study room and send the regional usage data to the regional analysis module;

[0106] It should be specifically stated that the area usage data is the number of times the functional area in the family study is used and the duration of each use, the number of times the study equipment in the functional area is used and the duration of each use, and the duration of use is obtained based on the start and stop time of the user in the family study;

[0107] The regional analysis module is used to analyze the regional conditions of the functional areas in the family study, and the analysis process is as follows:

[0108] Obtain the number of times the functional areas in the family study are used and the duration of each use, and compare the duration of each use with the preset duration;

[0109] If the usage time exceeds the preset usage time, the usage is recorded as effective usage, the number of effective usage is counted and recorded as the effective usage number, and the effective usage number is compared with the usage number to obtain the effective usage rate YXu of the functional area in the family study, where u is the number of the functional area;

[0110] Similarly, the effective utilization rate of the study equipment in the functional area of ​​the family study is obtained, and the effective utilization rate of the study equipment is added and averaged to obtain the effective utilization rate SXu of the study equipment in the functional area of ​​the family study;

[0111] The regional usage value QSu of the functional area in the family study is calculated by the formula QSu=b1*YXu+b1*SXu;

[0112] If the area usage value is less than the area usage threshold, the area status of the functional area is marked as an idle area;

[0113] If the area usage value is greater than or equal to the area usage threshold, the area status of the functional area is marked as a common area;

[0114] The area analysis module sends the area status of the functional area to the display terminal, and the display terminal is used to display the area status of the functional area in the home study.

[0115] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0116] Embodiment 3:

[0117] Another concept based on the same invention, such as Figure 3 and Figure 4 As shown, a method for intelligent management of home study environment based on augmented reality technology is proposed, and the specific method is as follows:

[0118] Step S101, the personnel monitoring module monitors and identifies the personnel information in the home study, and if there is a matching person, the person's number is sent to the temperature and humidity analysis module and the lighting analysis module.

[0119] Step S102, the image acquisition module acquires study image data when no one is in the home study, and sends the study image data when no one is in the home study to the comprehensive processing module, the comprehensive processing module generates a virtual study model corresponding to the home study, and divides the home study into multiple functional areas according to the study equipment, and the functional areas in the virtual study model are sent to the study monitoring module;

[0120] Step S103, the study monitoring module collects real-time environmental data of the family study, and sends the real-time environmental data of the family study to the temperature and humidity analysis module and the lighting analysis module;

[0121] Step S104, the temperature and humidity analysis module analyzes the temperature and humidity conditions of the home study, and sends a normal environment signal or an environment control signal to the control module;

[0122] Step S105, the lighting analysis module analyzes the lighting conditions of the home study, generates a brightness control signal or a normal brightness signal and sends it to the control module, and the control module controls the temperature and humidity of the home study and the brightness of the functional areas in the home study;

[0123] Furthermore, the method for intelligent management of a home study environment also includes:

[0124] Step S201, the data collection module records the regional usage data of the functional areas in the family study and sends it to the regional analysis module;

[0125] Step S202, the area analysis module analyzes the area conditions of the functional areas in the family study, and sends the area conditions of the functional areas obtained by the analysis to the display terminal;

[0126] Step S203: the display terminal displays the area status of the functional areas in the home study.

[0127] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An intelligent management system for home study environment based on augmented reality technology, characterized in that: It includes an image acquisition module, a comprehensive processing module, a study monitoring module, a personnel monitoring module, a temperature and humidity analysis module, a lighting analysis module, a database and a control module; the image acquisition module is used to collect the study image data when no one is in the family study, and send the study image data when no one is in the family study to the comprehensive processing module; the database is used to store the preset personnel characteristics of the users corresponding to different personnel numbers in the family study and to store the personnel habit data of the users corresponding to different personnel numbers in the family study; The personnel monitoring module is used to monitor and identify the personnel information in the home study, and if a matching person is identified, the person's number is sent to the temperature and humidity analysis module and the lighting analysis module; The comprehensive processing module is used to generate a virtual study model corresponding to the home study, and divide the home study into multiple functional areas according to the study equipment. The comprehensive processing module sends the functional areas in the virtual study model corresponding to the home study to the study monitoring module; the study monitoring module is used to collect real-time environmental data of the home study, and send the real-time environmental data of the home study to the temperature and humidity analysis module and the lighting analysis module; The temperature and humidity analysis module is used to analyze the temperature and humidity conditions of the family study, and the analysis generates a normal environment signal or an environment control signal to send to the control module, and the control module is used to control the environment of the family study after receiving the environment control signal; The lighting analysis module is used to analyze the lighting conditions of the home study, generate a brightness control signal or a normal brightness signal and send it to the control module. The control module is used to control the brightness of different functional areas in the home study after receiving the brightness control signal.

2. According to claim 1, the intelligent management system for home study environment based on augmented reality technology is characterized in that: The study room image data includes the outer contours of various study room devices in the home study room and the relative position coordinates between each type of study room device; The real-time environmental data includes the real-time temperature value, the real-time humidity value, and the real-time brightness value of the home study room corresponding to different functional areas.

3. The intelligent management system for home study environment based on augmented reality technology according to claim 1, characterized in that: The preset personnel characteristics are the preset height and preset body proportions of the user. The preset body proportions are the ratios of body part lengths to height. The body part lengths include torso length, leg length, arm length, and shoulder width.

4. The intelligent management system for home study environment based on augmented reality technology according to claim 1, characterized in that: The working process of the personnel monitoring module is as follows: Determine whether there is a user in the home study room. If it is determined that there is no user in the home study room, no operation will be performed; If it is determined that there is a person using the home study, the real-time height and real-time body proportion STBn of the person in the home study are collected, where n is the number of each body part; Then, the preset personnel characteristics of all preset personnel stored in the database are obtained to obtain the preset height and preset body proportion YTBn; Compare the real-time height with the preset height. If the height difference between the real-time height and the preset height is less than or equal to the preset difference, proceed to the next step. If the height difference between the real-time height and the preset height is greater than the preset difference, no operation is performed. The real-time body proportion is compared with the preset body proportion. If the difference between the real-time body proportion and the preset body proportion is less than or equal to the preset difference, the corresponding person is marked as a candidate. If the difference between the real-time body proportion and the preset body proportion is less than or equal to the preset difference, no operation is performed. Count the number of candidates in the family study room at this time. If the number of candidates in the family study room is 1, obtain the candidate ID of the candidate in the family study room. If the number of candidates in the family study is not 1, the personnel matching value RPP of the candidates is calculated by the formula; Arrange the personnel matching values ​​in descending order, and select the candidate with the highest personnel matching value as the matching person for the family study.

5. The intelligent management system for home study environment based on augmented reality technology according to claim 4 is characterized in that: The calculation formula of the personnel matching value is as follows: Where e is a natural constant.

6. The intelligent management system for home study environment based on augmented reality technology according to claim 1, characterized in that: The personnel habit data includes the personnel preset temperature value and the personnel preset humidity value set for the user's home study, as well as the preset brightness value set by the user according to the functional areas in the home study.

7. The intelligent management system for home study environment based on augmented reality technology according to claim 1, characterized in that: The analysis process of the temperature and humidity analysis module is as follows: Obtain the personnel number of the matching person in the home study, obtain the personnel habit data corresponding to the matching person in the home study according to the personnel number, and then obtain the personnel preset temperature value YWDi and personnel preset humidity value YSDi of the matching person in the home study, where i is the personnel number of the matching person; Then obtain the real-time temperature value SWDi and real-time humidity value SSDi of the home study room; The environmental deviation value HPi in the family study is calculated by the formula; If the environmental deviation value is less than or equal to the environmental deviation threshold, a normal environmental signal is generated; If the environmental deviation value is greater than the environmental deviation threshold, an environmental control signal is generated.

8. The intelligent management system for home study environment based on augmented reality technology according to claim 7, characterized in that: The calculation formula of the environmental deviation value is as follows: HPi=|SWDi-YWDi|×a1+|SSDi-YSDi|×a2; wherein a1 and a2 are weight coefficients with fixed values, and a1=a2.

9. The intelligent management system for home study environment based on augmented reality technology according to claim 1, characterized in that: The analysis process of the lighting analysis module is as follows: According to the personnel number, the preset brightness value set by the user according to the functional area in the home study is obtained; Then obtain the real-time brightness values ​​of different functional areas in the home study; Compare the real-time brightness value of the functional area in the home study room with the preset brightness value set by the user according to the functional area in the home study room; If the difference between the real-time brightness value and the preset brightness value is less than or equal to the preset brightness difference value, the functional area corresponding to the real-time brightness value is recorded as the normal brightness functional area; If the difference between the real-time brightness value and the preset brightness value is greater than the preset brightness difference, the functional area corresponding to the real-time brightness value is recorded as the brightness abnormality functional area.

10. The intelligent management system for home study environment based on augmented reality technology according to claim 1, characterized in that: The analysis process of the lighting analysis module also includes: The number of abnormal brightness functional areas is counted and recorded as the number of abnormal brightness functional areas. The number of abnormal brightness functional areas is compared with the total number of functional areas to obtain the abnormal brightness rate of the family study room. If the regional brightness abnormality rate exceeds the preset regional brightness abnormality rate, a brightness control signal is generated; If the regional brightness abnormality rate does not exceed the preset regional brightness abnormality rate, a brightness normal signal is generated.

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