CN110710796A - Intelligent sitting posture monitoring and management system and method - Google Patents
Intelligent sitting posture monitoring and management system and method Download PDFInfo
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- A—HUMAN NECESSITIES
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- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
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- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
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- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
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Abstract
The invention discloses an intelligent sitting posture monitoring and managing system and method, which are characterized by comprising the following steps: a lifting table and chair provided with a height measuring device; the acquisition terminal is used for acquiring and uploading the height data of the table and the chair; and the big data platform is used for analyzing and calculating the big data according to the heights of the students of all the groups of tables and chairs to obtain height data suitable for the groups of tables and chairs and comparing the calculated height data with the detected height data. By means of the system and the method, scientific desk and chair height parameters can be provided for the height of each student, the height change of each group of desk and chair can be monitored, the system is beneficial to prevention of a school and a supervision department, the situations of myopia and humpback of the students are reduced, and the function of preventing the myopia and humpback of the lifting desk and chair is fully exerted.
Description
Technical Field
The invention relates to a teaching auxiliary system, in particular to an intelligent sitting posture monitoring management system and method.
Background
Education is an effective means for improving the quality of the nation, the number of primary and secondary school students in China is in the forefront of the world, and the education of children by the nation and the nation is more and more important.
At present, most of school desks and chairs in primary and secondary schools in China are of a traditional fixed structure, namely the heights of the desks and the chairs are not adjustable, and due to the fact that the heights of students are different, sometimes the heights of the students are even obviously different, the desk chairs with the same height cannot be well adapted to the heights of some students. Resulting in an increasing rate of myopia and kyphosis for students.
The chinese patent application No. 201310073916.5 discloses a desk and chair with a lifting device for preventing myopia for students, the height of the desk and chair can be adjusted by the students according to their height, thereby enabling the students to study in a more comfortable sitting posture. However, the height of the desk and chair which can enable the student to keep the correct sitting posture needs scientific data as reference, namely the height of the student, the height of the desk and the height of the chair are related to each other, the height of the student adjusting the height of the desk and chair is adjusted completely according to the habit and the preference of the student, the scientific data is not used for reference, the blind adjustment mode cannot enable all students to adjust the desk and chair to the height suitable for the height of the student, and the function of reducing the myopia rate and the humpback rate of the lifting desk and chair cannot be fully exerted.
Based on the above reasons, it is urgently needed to design an intelligent sitting posture monitoring and managing system and method for lifting type desks and chairs.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an intelligent sitting posture management system and method, by means of which scientific desk and chair height parameters can be provided for the height of each student, the height change of each group of desk and chair can be monitored, and the system and method are beneficial to prevention of a school and a supervision department and reduction of the myopia rate and the humpback rate of the students.
In order to achieve the purpose, the invention provides the following technical scheme:
an intelligent sitting posture monitoring and management system, comprising:
the lifting table is provided with a first distance measuring sensor for measuring the height of the table top;
the lifting chair is provided with a second distance measuring sensor for measuring the height of the chair seat;
the acquisition terminal corresponds to the serial number of the table and chair, is in communication connection with the first ranging sensor and the second ranging sensor, and is used for receiving output values of the first ranging sensor and the second ranging sensor, processing the output values and uploading the height data of the table and chair obtained by processing to the big data platform;
big data platform, its storage has the student's height data of each group of desk chair, it and acquisition terminal communication connection, a table chair data for receiving the collection terminal upload, and the student's height data of this group of desk chair is transferred according to the serial number information in the table chair data, carry out computational analysis according to this student's height data, reach the seat height data that is fit for this student's height, and compare the table chair height data that computational analysis reachs with the table chair height data of gathering, send tip information when two sets of data differ.
As a preferable scheme: the lifting table is further provided with a third distance measuring sensor used for measuring the horizontal distance between the body of the student and the table top, and the third distance measuring sensor is in communication connection with the acquisition terminal.
As a preferable scheme: still be equipped with the desktop camera that is used for shooing student's face on the lift table, the desktop camera with collection terminal communication connects.
As a preferable scheme: the lifting table is also provided with a display screen for displaying the height of the table and the chair.
As a preferable scheme: the acquisition terminal comprises a micro-processing unit, a power module and a communication module, wherein the power module and the communication module are connected with the micro-processing unit.
Preferably, the big data platform includes:
the student information storage unit stores personal information of each student, including name, height and seat number data;
the data model storage unit is used for storing sitting posture data models with different heights;
the calculation analysis unit is used for calculating and analyzing the height data of the student corresponding to the seat number data through a height data and sitting posture data model to obtain the height data of the seat suitable for the height of the student with the seat number;
and the comparison reminding unit is used for comparing the height data of the table and the chair of each seat number obtained by calculation and analysis with the height data of the seat obtained by collection, and generating reminding information when the data are inconsistent.
As a preferable scheme: the big data platform further comprises a face recognition unit, the face recognition unit is used for recognizing facial images of students, and facial image data of the students are stored in the student information storage unit.
An intelligent sitting posture monitoring and managing method comprises the following steps:
s1, numbering each group of lifting tables and chairs, and additionally arranging a detection device for detecting the height of the tabletop and the height of the seat surface of each group of seats;
s2, enabling the study numbers of the students to correspond to the numbers of the tables and the chairs one by one, collecting height data of the students, establishing student personal information comprising the study numbers, the numbers of the tables and the chairs and the height data, and storing the student personal information in a student information database;
s3, according to the height of the students of each group of chairs and chairs, calculating and analyzing by using a sitting posture model to obtain the height data of a reference desktop and a seat surface of the height of the students suitable for the group of chairs;
s4, adjusting the height of the table top and the height of the seat surface of each group of tables and chairs to a reference height by means of measurement of the detection device;
s5, after the adjustment is finished, continuously measuring the height of the table top and the height of the seat of each group of tables and chairs by using a detection device to obtain monitoring data;
and S6, comparing the height monitoring data of each group of tables and chairs with the height reference data of the group of tables and chairs, and generating prompt information when the deviation of the two groups of data exceeds a threshold value.
As a preferable scheme: the method also comprises a step of monitoring the horizontal distance between the body of the student and the table top, wherein a distance measuring device is additionally arranged on the table to measure the horizontal distance between the body of the student and the table top, the measured horizontal distance is compared with a reference distance, and prompt information is generated when the deviation between the body of the student and the table top exceeds a threshold value.
As a preferable scheme: still including the step of monitoring student state of attendance, this step is through installing camera device additional on the desktop, shoots student's facial image at the period of having a lesson to judge whether the student normally goes out to attendance, when judging that the student normally goes out to attendance, then generate the information of lacking in duty.
Compared with the prior art, the invention has the advantages that: aiming at the defects in the prior art, the invention aims to provide an intelligent sitting posture management system and method, by means of which scientific desk and chair height parameters can be provided for the height of each student, the height change of each group of desk and chair can be monitored, the system is beneficial to prevention of a school and a supervision department, the situations of myopia and humpback of students are reduced, and the functions of preventing myopia and humpback of lifting desks and chairs are fully exerted.
Drawings
FIG. 1 is a schematic view of a table and chair;
FIG. 2 is a schematic diagram of a sitting posture monitoring and management system;
fig. 3 is a flow chart of a sitting posture monitoring and managing method.
1, a table; 2. a desktop; 3. a first ranging sensor; 4. collecting a terminal; 5. a desktop camera; 6. a third ranging sensor; 7. a display screen; 8. a chair; 9. a chair surface; 10. a second ranging sensor; 11. a teacher desk; 12. A door frame; 13. a blackboard; 14. collecting a camera; 15. and (4) marking a strip.
Detailed Description
The first embodiment is as follows:
an intelligent sitting posture monitoring and managing system.
Referring to fig. 1, a table and chair structure in this embodiment is shown. The first distance measuring sensor 3 is arranged below the tabletop 2 of the table 1, the first distance measuring sensor 3 is an ultrasonic sensor, the first distance measuring sensor 3 is used for detecting the distance between the first distance measuring sensor 3 and the ground, and the accurate height L1 of the upper surface of the tabletop 2 can be obtained by adding the height of the first distance measuring sensor 3 and the thickness of the tabletop 2; a third distance measuring sensor 6 is installed at the front end of the table 1 (namely, the side of the table 1 facing the human body), and the third distance measuring sensor 6 is an infrared sensor and is used for detecting the horizontal distance L3 from the human body to the front end of the table 1; the desktop 2 is also provided with a desktop camera 5 and a display screen 7.
A second distance measuring sensor 10 is installed below the seat surface 9 of the chair 8, the second distance measuring sensor 10 is also an ultrasonic sensor, the second distance measuring sensor 10 is used for detecting the distance between the second distance measuring sensor 10 and the ground, and the accurate height L2 of the upper surface of the seat surface 9 can be obtained by adding the height of the second distance measuring sensor 10 and the thickness of the seat surface 9.
In other embodiments, the sensors may be mounted elsewhere in the table and chair, which is not illustrated here.
The acquisition terminal 4 is installed in the drawer of the desk 1, and the first distance measuring sensor 3, the second distance measuring sensor 10, the third distance measuring sensor 6 and the desktop camera 5 are all in communication connection with the acquisition terminal 4. The first distance measuring sensor 3, the third distance measuring sensor 6 and the desktop camera 5 are connected with the acquisition terminal 4 through cables; since the second distance measuring sensor 10 is installed on the chair 8, the connection between the second distance measuring sensor 10 and the collecting terminal 4 can be a wired or wireless connection, in this embodiment, the table and the chair can be connected to the lower portion of the chair 8 through a connecting beam, the second distance measuring sensor 10 on the chair 8 is connected to the collecting terminal 4 on the table 1 through a cable, and the cable is hidden in the connecting beam. In other embodiments, the second distance measuring sensor 10 may be connected to the acquisition terminal 4 indefinitely by installing a separate power module and communication module in the chair 8.
Referring to fig. 2, a schematic diagram of a configuration of an intelligent sitting posture monitoring and managing system is shown, the system includes: the lifting table and chair with the distance measuring sensor, the desktop camera and the display screen; collection terminal and big data platform.
The acquisition terminal comprises a micro-processing unit, a power module and a communication module, wherein the power module and the communication module are connected with the micro-processing unit, and a first distance measurement sensor, a second distance measurement sensor, a desktop camera and a display screen are all connected with a microprocessor. The power module is used for supplying power to the microprocessor, the desktop camera, each sensor, the communication module and the display screen, and the communication module is used for communicating with the big data platform to upload or download data. In the working process of the system, the microprocessor calculates and corrects the data measured by the first distance measuring sensor and the second distance measuring sensor to obtain the accurate desktop height and seat height data of the desk and chair corresponding to the acquisition terminal, encrypts the data and uploads the encrypted data to the big data platform.
The communication module in this embodiment includes one or more of RJ45, bluetooth module, WiFi module, ZigBee module, thing allies oneself with card communication module.
The big data platform comprises: a student information storage unit which stores personal information of each student including a study number, a name, a height, seat number data and face image data; the data model storage unit is used for storing sitting posture data models with different heights; the calculation analysis unit is used for calculating and analyzing the height data of the student corresponding to the seat number data through a height data and sitting posture data model to obtain the height data of the seat suitable for the height of the student with the seat number; and the comparison reminding unit is used for comparing the height data of the table and the chair of each seat number obtained by calculation and analysis with the height data of the seat obtained by collection, and generating reminding information when the data deviation exceeds a threshold value.
When a student uses the desk and chair, the third distance measuring sensor arranged at the front end of the desk detects the horizontal distance L3 between the body of the student and the desk, the acquisition terminal uploads the L3 data to the big data platform, the comparison reminding unit compares the L3 data with a preset distance range, and when the L3 value exceeds the preset range, the comparison reminding unit generates reminding information.
Through the monitoring of the data of the horizontal distance between the height of the student, the height of the desktop, the height of the chair seat and the body of the student and the desk by the big data platform, the school side and the supervision department can monitor the sitting posture condition of the student after accessing the big data platform, and the prevention and the reduction of the occurrence of myopia and humpback of the student are facilitated.
When the student uses the table chair, the height data that is fit for its corresponding table chair is downloaded from big data platform to the collection terminal, and microprocessor control display screen shows the height information of seat, and the information that shows includes current desktop height, current seat height, refers to desktop height and refers to the seat height to the student looks over relevant data from the display screen, provides reference data for the student adjusts table chair height by oneself, improves the humanized degree of system.
The big data platform in this embodiment further includes a face recognition unit, and the face recognition unit is used for recognizing facial images of students.
As shown in fig. 2, the sitting posture monitoring and managing system in this embodiment further includes a height measuring device, the height measuring device includes a micro-processing unit, the micro-processing unit is connected with a communication module, a power module and an image collecting module, and the image collecting module is connected with a collecting camera.
Referring to fig. 2, the height measuring device needs to be disposed at the doorway of a classroom, the collecting camera 14 is fixed on the side of the lectern 11, the collecting camera 14 faces the door frame 12, and the inside of the door frame 12 is provided with an easily identified identification strip 15. The height measuring device is in communication connection with the big data platform through a communication module of the height measuring device. The acquisition camera 14 is used for shooting the image of the door frame 12, and the big data platform further comprises a height calculating unit which is used for calculating the height of the student in the image of the door frame.
Example two:
referring to fig. 3, an intelligent sitting posture monitoring and managing method includes the following steps:
s1, numbering each group of lifting tables and chairs, and additionally arranging a detection device for detecting the height of the tabletop and the height of the seat surface of each group of seats;
s2, enabling the student numbers to correspond to the numbers of the desks and the chairs one by one, collecting height data and facial image data of the students, establishing student personal information comprising the student numbers, the desks and the chairs, the height data and the facial feature data, and storing the student personal information in a student information database;
s3, according to the height of the students of each group of chairs and chairs, calculating and analyzing by using a sitting posture model to obtain the height data of a reference desktop and a seat surface of the height of the students suitable for the group of chairs;
this step includes the step of measuring the height of the student. There are two ways to measure the height of a student:
the first is manual measurement, needs to measure the height of each student through a height and weight meter, and inputs the height data of each student into a student information storage unit. This kind of mode of manual measurement height has its limitation, because the student is in the growth and development stage, and often the height changes very fast, and this just needs the school frequently to organize the student and carries out the physical examination to measure each student's latest height data, this measuring method work load is big, very loaded down with trivial details, still can occupy valuable teaching time.
The second measurement mode is automatic measurement, and the implementation method for automatically measuring the height in this embodiment is as follows: the method comprises the steps that an acquisition camera arranged on the side face of a desktop is used for acquiring images of a door frame, the acquired image data are uploaded to a big data platform, a face recognition unit is used for recognizing and extracting a face area in the images, and then facial feature recognition is carried out on the extracted face images so as to recognize students; meanwhile, the height calculating unit carries out binarization processing on the image to obtain clear outlines of the human body and the identification strip, separates a human body area from the identification strip area and calculates the height of the area in the same reference frame, then calculates and obtains the actual height of the human body according to the actual height of the identification strip and the proportion of the human body area to the identification strip area, and stores the measured actual height into personal information of the student to cover old height data. And the calculation and analysis unit calculates and analyzes the reference desktop height and the reference chair seat height data suitable for the student according to the latest height data of the student, and displays the data through a display screen on the desktop.
S4, adjusting the height of the table top and the height of the seat surface of each group of tables and chairs to a reference height by means of measurement of the detection device;
s5, after the adjustment is finished, continuously measuring the height of the table top and the height of the seat of each group of tables and chairs by using a detection device to obtain monitoring data;
and S6, comparing the height monitoring data of each group of tables and chairs with the height reference data of the group of tables and chairs, and generating prompt information when the deviation of the two groups of data exceeds a threshold value.
The method also comprises a step of monitoring the horizontal distance between the body of the student and the table top, wherein the step of measuring the horizontal distance between the body of the student and the table top by additionally arranging a distance measuring device on the table, comparing the measured horizontal distance with a reference distance, and generating prompt information when the deviation between the measured horizontal distance and the reference distance exceeds a threshold value.
Still including the step of monitoring student state of attendance in this embodiment, this step is through installing camera device additional on the desktop, shoots student's facial image at the period of having a lesson to judge whether the student normally goes out to attendance, when judging that the student normally goes out to attendance, then generate the information of lacking in duty.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (10)
1. The utility model provides an intelligence position of sitting control management system which characterized by includes:
the lifting table is provided with a first distance measuring sensor for measuring the height of the table top;
the lifting chair is provided with a second distance measuring sensor for measuring the height of the chair seat;
the acquisition terminal corresponds to the serial number of the table and chair, is in communication connection with the first ranging sensor and the second ranging sensor, and is used for receiving output values of the first ranging sensor and the second ranging sensor, processing the output values and uploading the height data of the table and chair obtained by processing to the big data platform;
big data platform, its storage has the student's height data of each group of desk chair, it and acquisition terminal communication connection, a table chair data for receiving the collection terminal upload, and the student's height data of this group of desk chair is transferred according to the serial number information in the table chair data, carry out computational analysis according to this student's height data, reach the seat height data that is fit for this student's height, and compare the table chair height data that computational analysis reachs with the table chair height data of gathering, send tip information when two sets of data differ.
2. The intelligent sitting posture monitoring and managing system as claimed in claim 1, wherein: the lifting table is further provided with a third distance measuring sensor used for measuring the horizontal distance between the body of the student and the table top, and the third distance measuring sensor is in communication connection with the acquisition terminal.
3. The intelligent sitting posture monitoring and managing system as claimed in claim 1, wherein: still be equipped with the desktop camera that is used for shooing student's face on the lift table, the desktop camera with collection terminal communication connects.
4. The intelligent sitting posture monitoring and managing system as claimed in claim 1, wherein: the lifting table is also provided with a display screen for displaying the height of the table and the chair.
5. The intelligent sitting posture monitoring and managing system as claimed in any one of claims 1-4, wherein: the acquisition terminal comprises a micro-processing unit, a power module and a communication module, wherein the power module and the communication module are connected with the micro-processing unit.
6. The intelligent seating posture monitoring and management system of claim 1, wherein the big data platform comprises:
the student information storage unit stores personal information of each student, including name, height and seat number data;
the data model storage unit is used for storing sitting posture data models with different heights;
the calculation analysis unit is used for calculating and analyzing the height data of the student corresponding to the seat number data through a height data and sitting posture data model to obtain the height data of the seat suitable for the height of the student with the seat number;
and the comparison reminding unit is used for comparing the height data of the table and the chair of each seat number obtained by calculation and analysis with the height data of the seat obtained by collection, and generating reminding information when the data are inconsistent.
7. The intelligent sitting posture monitoring and managing system as claimed in claim 6, wherein: the big data platform further comprises a face recognition unit, the face recognition unit is used for recognizing facial images of students, and facial image data of the students are stored in the student information storage unit.
8. An intelligent sitting posture monitoring and managing method is characterized by comprising the following steps:
s1, numbering each group of lifting tables and chairs, and additionally arranging a detection device for detecting the height of the tabletop and the height of the seat surface of each group of seats;
s2, enabling the study numbers of the students to correspond to the numbers of the tables and the chairs one by one, collecting height data of the students, establishing student personal information comprising the study numbers, the numbers of the tables and the chairs and the height data, and storing the student personal information in a student information database;
s3, according to the height of the students of each group of chairs and chairs, calculating and analyzing by using a sitting posture model to obtain the height data of a reference desktop and a seat surface of the height of the students suitable for the group of chairs;
s4, adjusting the height of the table top and the height of the seat surface of each group of tables and chairs to a reference height by means of measurement of the detection device;
s5, after the adjustment is finished, continuously measuring the height of the table top and the height of the seat of each group of tables and chairs by using a detection device to obtain monitoring data;
and S6, comparing the height monitoring data of each group of tables and chairs with the height reference data of the group of tables and chairs, and generating prompt information when the deviation of the two groups of data exceeds a threshold value.
9. The intelligent sitting posture monitoring and managing method as claimed in claim 8, wherein: the method also comprises a step of monitoring the horizontal distance between the body of the student and the table top, wherein a distance measuring device is additionally arranged on the table to measure the horizontal distance between the body of the student and the table top, the measured horizontal distance is compared with a reference distance, and prompt information is generated when the deviation between the body of the student and the table top exceeds a threshold value.
10. The intelligent sitting posture monitoring and managing method as claimed in claim 8, wherein: still including the step of monitoring student state of attendance, this step is through installing camera device additional on the desktop, shoots student's facial image at the period of having a lesson to judge whether the student normally goes out to attendance, when judging that the student normally goes out to attendance, then generate the information of lacking in duty.
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