CN106859654B - Intelligent seat system and detection method thereof - Google Patents
Intelligent seat system and detection method thereof Download PDFInfo
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- CN106859654B CN106859654B CN201710018407.0A CN201710018407A CN106859654B CN 106859654 B CN106859654 B CN 106859654B CN 201710018407 A CN201710018407 A CN 201710018407A CN 106859654 B CN106859654 B CN 106859654B
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- 238000001514 detection method Methods 0.000 title claims abstract description 9
- 238000004891 communication Methods 0.000 claims abstract description 28
- 238000012545 processing Methods 0.000 claims abstract description 12
- 230000033001 locomotion Effects 0.000 claims abstract description 10
- 230000000276 sedentary effect Effects 0.000 claims abstract description 7
- 230000009471 action Effects 0.000 claims description 44
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000002474 experimental method Methods 0.000 claims description 5
- FBOUIAKEJMZPQG-AWNIVKPZSA-N (1E)-1-(2,4-dichlorophenyl)-4,4-dimethyl-2-(1,2,4-triazol-1-yl)pent-1-en-3-ol Chemical compound C1=NC=NN1/C(C(O)C(C)(C)C)=C/C1=CC=C(Cl)C=C1Cl FBOUIAKEJMZPQG-AWNIVKPZSA-N 0.000 claims description 3
- 230000008859 change Effects 0.000 claims description 3
- 230000002045 lasting effect Effects 0.000 claims description 3
- 238000000034 method Methods 0.000 claims description 3
- 238000012806 monitoring device Methods 0.000 abstract 1
- 230000005540 biological transmission Effects 0.000 description 3
- 230000006835 compression Effects 0.000 description 3
- 238000007906 compression Methods 0.000 description 3
- 208000006096 Attention Deficit Disorder with Hyperactivity Diseases 0.000 description 2
- 208000036864 Attention deficit/hyperactivity disease Diseases 0.000 description 2
- 238000003745 diagnosis Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 208000024172 Cardiovascular disease Diseases 0.000 description 1
- 206010050296 Intervertebral disc protrusion Diseases 0.000 description 1
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- 208000008589 Obesity Diseases 0.000 description 1
- 206010041591 Spinal osteoarthritis Diseases 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 230000037396 body weight Effects 0.000 description 1
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- 238000006243 chemical reaction Methods 0.000 description 1
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- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 235000020824 obesity Nutrition 0.000 description 1
- 208000005801 spondylosis Diseases 0.000 description 1
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1118—Determining activity level
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6887—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient mounted on external non-worn devices, e.g. non-medical devices
- A61B5/6891—Furniture
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7271—Specific aspects of physiological measurement analysis
- A61B5/7275—Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
Abstract
The invention discloses an intelligent seat system and a detection method thereof, wherein the intelligent seat system comprises a plurality of intelligent seats, an upper computer and a mobile phone terminal; the bottom of each chair leg of the intelligent chair is correspondingly provided with a pressure sensor, and a lower computer is arranged below a seat plate of the intelligent chair; the lower computer comprises a signal acquisition module, a signal processing module, a communication module and a power supply module, and the upper computer is respectively connected with the lower computer and the mobile phone terminal through wireless communication; the sitting posture monitoring device can enable a child to know the sitting posture problem in time, effectively intervene the sitting posture, and promote the child to develop a good sitting posture habit; meanwhile, relevant alarm signals of sedentary sitting or improper sitting posture or excessive movement are sent to mobile phone software, so that parents and teachers can check relevant data.
Description
Technical Field
The invention relates to the technical field of intelligent seats, in particular to an intelligent seat system and a detection method thereof.
Background
With the development and progress of society and the continuous improvement of substance level, people pay more and more attention to health problems. However, in recent years, the society has accelerated pace and the working pressure has continuously increased, which can cause the sick probability of cervical spondylosis, lumbar disc herniation, obesity, cardiovascular diseases and the like to be increased for people who sit for a long time due to incorrect sitting posture, thereby bringing great hidden troubles to the health. If children frequently twist bodies in the classroom learning and cannot sit still, the attention of the children cannot be concentrated, and the classroom learning efficiency of the children is influenced.
disclosure of Invention
the invention aims to provide an intelligent seat system and a detection method thereof.
the technical solution for realizing the purpose of the invention is as follows:
An intelligent seat system is characterized by comprising a plurality of intelligent seats, an upper computer and a mobile phone terminal; the bottom of each chair leg of the intelligent chair is correspondingly provided with a pressure sensor, and a lower computer is arranged below a seat plate of the intelligent chair; the lower computer comprises a signal acquisition module, a signal processing module, a communication module and a power supply module, wherein the input end of the signal acquisition module is connected with the pressure sensor, the output end of the signal acquisition module is sequentially connected with the signal processing module and the communication module, and the power supply module is respectively connected with the signal acquisition module, the signal processing module and the communication module; the upper computer is respectively connected with the lower computer and the mobile phone terminal through wireless communication.
Preferably, the upper computer comprises a communication module, a processor module, a display module and a power module, wherein the processor module is respectively connected with the communication module and the display module, and the power module is respectively connected with the communication module, the processor module and the display module.
a detection method of an intelligent seat system is characterized by comprising the following steps:
Step (1): calibrating the sensors on each group of chairs in advance, and offsetting the weight of the chairs; collecting data through a pressure sensor, if the sum of pressure values of four sensors is greater than a preset value of 100N, judging that a person sits on the chair, starting a timer and reminding to keep a correct sitting posture, and collecting data;
Step (2): collecting the first stable and lasting 30s values of the pressure values of the four sensors as reference values of the body weight of the seated person, and recording the values of the four sensors as reference values Rij，RijRepresenting the jth sensor reference value on the ith chair;
And (3): real-time collecting four-way pressure sensor value and recording as dynamic value Dij，Dijrepresenting the dynamic value of the jth sensor on the ith chair;
and (4): and calculating the sum of the change values of the four paths of pressure sensors, wherein the calculation formula is as follows:
Sumithe sum of the variation values of the 4-way sensor of the ith chair is represented, if the following formula is satisfied:
K*Sumi≤S
judging that the child does not act when sitting on the chair; otherwise, the child is considered to have action on the chair;
Wherein K is an action coefficient and has a value range of 0-0.3; s is an action threshold value, and the numerical value is set in advance through experiments;
And (5): record the pressure value D of each action of the child on the chairijAnd corresponding time TimWherein T isimrepresents the mth moment of the ith chair;
And (6): t recorded by the previous stepimit is known that m times are recorded in the ith chair in total, and the time interval between the child's movements of the ith chair per time is calculated according to the following equation
ΔTik＝Ti(k+1)-Tik
Wherein the value range of k is 1-m-1;
then sequentially calculating the average action time interval of the ith chairand average frequency of motion fi:
and (7): calculating the average action time interval delta T and the average action frequency f of all chairs:
and (8): for each chair the data collected was compared to the statistics, introducing the formula:
when 0 < hi≤h1when the children do not need to be reminded, judging that the action ratio of the children is normal; when h is generated1＜hi≤h2When the children sit on the seat, the action ratio of the children is judged to be higher, so that the children are required to be reminded to keep sitting quietly due to distraction; when h is generated2＜hiWhen the children are in a normal state, judging that the action ratio of the children is too high and the children possibly suffer from hyperkinetic syndrome, and recommending further medical diagnosis; where h is the action ratio, and h1 and h1 are set in advance by experiments.
And (9): after determining that the chair is seated, recording the corresponding time TisWhen the sum of the pressures of the sensors is less than 100N after the seat person leaves the chair, recording the corresponding time Tie，Tis—TieIf the difference is larger than the preset value (such as 1 hour), the sitting person is judged to be sedentary; the opposite is not.
Compared with the prior art, the invention has the following remarkable advantages: according to the intelligent seat system, each foot of each seat is respectively provided with a pressure sensor, the numerical value of the pressure sensor is collected in real time, and after sampling and compression are carried out by a lower computer, data are transmitted to an upper computer in a wireless mode; presetting an algorithm in the upper computer, taking the stable value of the pressure sensor as a reference value, continuously collecting pressure values of all paths and solving the variable quantity of the pressure values of all paths, wherein the variable quantity of the pressure values is obtained by subtracting the reference value from the pressure value of each path to obtain an absolute value; accumulating the variation of the pressure values of all paths, comparing the variation with a preset action threshold value, judging whether the pressure values act, recording related parameters, and calculating action frequency; according to the method, after a plurality of groups of chair data are collected, the average action frequency is calculated through data statistics, the sitting posture state and the long-time sitting time of a sitting person are obtained by comparing the action frequency of each group with the average action frequency, so that the sitting posture state problem of the sitting person can be known by children in time, the sitting posture can be effectively interfered, and the children can be promoted to form a good sitting posture habit; meanwhile, relevant alarm signals of sedentary sitting or improper sitting posture or excessive movement are sent to mobile phone software, so that parents and teachers can check relevant data.
the present invention is described in further detail below with reference to the attached drawing figures.
Drawings
fig. 1 is a schematic structural diagram of the intelligent seat system of the present invention.
Fig. 2 is a schematic structural diagram of a smart seat in the smart seat system according to the present invention.
Fig. 3 is a schematic structural view of a lower computer in the intelligent seat system of the invention.
fig. 4 is a schematic structural view of an upper computer in the intelligent seat system of the present invention.
Detailed Description
Example 1:
An intelligent seat system comprises a plurality of intelligent seats 1, an upper computer 4 and a mobile phone terminal 5; the bottom of each chair leg of the intelligent chair 1 is correspondingly provided with a pressure sensor 21,22,23 and 24, and a lower computer 3 is arranged below a seat plate of the intelligent chair 1; the lower computer 3 comprises a signal acquisition module 31, a signal processing module 32, a communication module 33 and a power module 34, wherein the input end of the signal acquisition module 31 is connected with the pressure sensors 21,22,23 and 24, the output end of the signal acquisition module 31 is sequentially connected with the signal processing module 32 and the communication module 33, and the power module 34 is respectively connected with the signal acquisition module 31, the signal processing module 32 and the communication module 33; the upper computer 4 is respectively connected with the lower computer 3 and the mobile phone terminal 5 through wireless communication.
The upper computer 4 comprises a communication module 41, a processor module 42, a display module 43 and a power supply module 44, wherein the processor module 42 is respectively connected with the communication module 41 and the display module 43, and the power supply module 44 is respectively connected with the communication module 41, the processor module 42 and the display module 43.
The 4-way pressure signal of the chair foot is collected to the processor module 32 through the signal collecting module 31, and the module includes, but is not limited to, functions of power amplification, a/D conversion and the like of the signal. The signal acquisition module can be a high-integration pressure sensor or other signal acquisition devices.
The signal processor module 32 performs filtering, denoising, compression and other processing on the acquired signals to prepare for data transmission. The processor module can be a single chip microcomputer, an ARM, a DSP or other processing chips.
The communication modules 23 and 41 are communication devices for transmitting and receiving data between the lower computer and the upper computer, and are divided into a wireless mode and a wired mode. An optimal situation is given, and data transmission can be carried out on data communication from a lower computer to an upper computer by selecting one of wireless communication protocols such as WIFI, Bluetooth, Zigbee and MQTT (Internet of things transmission protocol). The data communication from the upper computer to the Internet can select a wired mode.
The processor module 42 judges the sitting posture of the child and determines the sedentary state of the child through a preset algorithm in an off-line mode.
The display module is a liquid crystal screen or other display device. And displaying related information of the child, such as name, age, sex, weight and sitting posture of the child in each time period.
the power module 34 in the lower computer system is powered by a lithium battery, so that the movement of the chair is facilitated. The upper computer is a stationary power module 34 and obtains power from the mains supply using a suitable power adapter.
The intelligent seat system can also transmit the acquired data to a remote server through a network to analyze and count the data. On the basis, mobile phone software for monitoring the sitting posture of the sitting person in real time can be developed, so that a user can timely and accurately know the sitting posture of the sitting person and make a reasonable exercise plan.
A detection method of an intelligent seat system, the detection method comprising the steps of:
Step (1): assuming that n is 30 seats are arranged on site, calibrating the sensors on each group of the seats in advance, and offsetting the weight of the seats; collecting data through a pressure sensor, if the sum of pressure values of four sensors is greater than a preset value of 100N, judging that a person sits on the chair, starting a timer and reminding to keep a correct sitting posture, and collecting data;
Step (2): collecting the first stable and lasting 30s pressure values of the four-way pressure sensor as the weight value of the seated person, and recording the values of the four-way pressure sensor as the reference value Rij，RijRepresenting the jth sensor reference value on the ith chair; the value range of i is 1-30, and the value range of j is 1-4;
And (3): real-time collecting four-way pressure sensor value and recording as dynamic value Dij，Dijrepresenting the dynamic value of the jth sensor on the ith chair; the value range of i is 1-30, and the value range of j is 1-4;
and (4): and calculating the sum of the change values of the four paths of pressure sensors, wherein the calculation formula is as follows:
SumiThe sum of the variation values of the 4-way sensor of the ith chair is represented, if the following formula is satisfied:
K*Sumi≤S
Judging that the child does not act when sitting on the chair; otherwise, the child is considered to have action on the chair;
Wherein K is an action coefficient and has a value range of 0-0.3; s is an action threshold value, and the numerical value is set through experimental calculation; a set of seat experimental data was collected for illustration, as shown in the following table:
The average value of the weight reference value is 26.5Kg through the above calculation formula, and S is 5.3Kg if K is 0.2.
And (5): record the pressure value D of each action of the child on the chairijAnd corresponding time TimWherein T isimRepresents the mth moment of the ith chair;
And (6): t recorded by the previous stepimTo know thatThe total m times are recorded in the i chairs, and the time interval of each action of the child of the i chair is calculated according to the following formula
ΔTik＝Ti(k+1)-Tik
Wherein the value range of k is 1-m-1;
then sequentially calculating the average action time interval of the ith chairand average frequency of motion fi:
and (7): calculating the average action time interval delta T and the average action frequency f of all chairs:
And (8): for each chair the data collected was compared to the statistics, introducing the formula:
When 0 < hi≤h1When the children do not need to be reminded, judging that the action ratio of the children is normal; when h is generated1＜hi≤h2When the children sit on the seat, the action ratio of the children is judged to be higher, so that the children are required to be reminded to keep sitting quietly due to distraction; when h is generated2＜hiwhen the children are in a normal state, judging that the action ratio of the children is too high and the children possibly suffer from hyperkinetic syndrome, and recommending further medical diagnosis; wherein h is the action ratio value,h1 and h1 were set in advance by experiment, assuming that h1 is 1 and h2 is 1.4;
And (9): after determining that the chair is seated, recording the corresponding time TisWhen the sum of the pressures of the sensors is less than 100N after the seat person leaves the chair, recording the corresponding time Tie，Tis—TieIf the difference is larger than the preset value (such as 1 hour), the sitting person is judged to be sedentary; the opposite is not.
In conclusion, each foot of each seat in the intelligent seat system is respectively provided with a pressure sensor, the numerical value of the pressure sensor is collected in real time, and after sampling and compression are carried out by the lower computer, data are transmitted to the upper computer in a wireless mode; presetting an algorithm in the upper computer, taking the stable value of the pressure sensor as a reference value, continuously collecting pressure values of all paths and solving the variable quantity of the pressure values of all paths, wherein the variable quantity of the pressure values is obtained by subtracting the reference value from the pressure value of each path to obtain an absolute value; accumulating the variation of the pressure values of all paths, comparing the variation with a preset action threshold value, judging whether the pressure values act, recording related parameters, and calculating action frequency; according to the method, after a plurality of groups of chair data are collected, the average action frequency is calculated through data statistics, the sitting posture state and the long-time sitting time of a sitting person are obtained by comparing the action frequency of each group with the average action frequency, so that the sitting posture state problem of the sitting person can be known by children in time, the sitting posture can be effectively interfered, and the children can be promoted to form a good sitting posture habit; meanwhile, relevant alarm signals of sedentary sitting or improper sitting posture or excessive movement are sent to mobile phone software, so that parents and teachers can check relevant data.
Claims (2)
1. An intelligent seat system is characterized by comprising a plurality of intelligent seats (1), an upper computer (4) and a mobile phone terminal (5); the bottom of each chair leg of the intelligent chair (1) is correspondingly provided with a pressure sensor (21,22,23,24), and a lower computer (3) is arranged below the seat plate of the intelligent chair (1); the lower computer (3) comprises a signal acquisition module (31), a signal processing module (32), a communication module (33) and a power module (34), the input end of the signal acquisition module (31) is connected with the pressure sensors (21,22,23 and 24), the output end of the signal acquisition module (31) is sequentially connected with the signal processing module (32) and the communication module (33), and the power module (34) is respectively connected with the signal acquisition module (31), the signal processing module (32) and the communication module (33); the upper computer (4) is respectively connected with the lower computer (3) and the mobile phone terminal (5) through wireless communication; the detection method of the intelligent seat system is characterized by comprising the following steps:
step (1): calibrating the sensors on each group of chairs in advance, and offsetting the weight of the chairs; collecting data through a pressure sensor, if the sum of pressure values of four sensors is greater than a preset value of 100N, judging that a person sits on the chair, starting a timer and reminding to keep a correct sitting posture, and collecting data;
Step (2): collecting the first stable and lasting 30s values of the pressure values of the four sensors as the weight value of the seated person, and recording the values of the four sensors as the reference value Rij，Rijrepresenting the jth sensor reference value on the ith chair;
And (3): real-time collecting four-way pressure sensor value and recording as dynamic value Dij，DijRepresenting the dynamic value of the jth sensor on the ith chair;
and (4): and calculating the sum of the change values of the four paths of pressure sensors, wherein the calculation formula is as follows:
SumiThe sum of the variation values of the 4-way sensor of the ith chair is represented, if the following formula is satisfied:
K*Sumi≤S
Judging that the child does not act when sitting on the chair; otherwise, the child is considered to have action on the chair;
Wherein K is an action coefficient and has a value range of 0-0.3; s is an action threshold value, and the numerical value is set in advance through experiments;
And (5): record the pressure value D of each action of the child on the chairijAnd corresponding time Timwherein T isimRepresents the mth moment of the ith chair;
And (6): by passingt recorded in the last stepimIt is known that m times are recorded in the ith chair in total, and the time interval between the child's movements of the ith chair per time is calculated according to the following equation
ΔTik＝Ti(k+1)-Tik
wherein the value range of k is 1-m-1;
then sequentially calculating the average action time interval of the ith chairAnd average frequency of motion fi:
And (7): calculating the average action time interval delta T and the average action frequency f of all chairs:
And (8): for each chair the data collected was compared to the statistics, introducing the formula:
When 0 is present<hi≤h1when the children do not need to be reminded, judging that the action ratio of the children is normal; when h is generated1<hi≤h2When the children sit on the seat, the action ratio of the children is judged to be higher, so that the children are required to be reminded to keep sitting quietly due to distraction; when h is generated2<hiWhen the child is in motion, the action ratio of the child is determinedToo high a value; wherein h is the action ratio, h1and h2The method is set in advance through experiments;
and (9): after determining that the chair is seated, recording the corresponding time Tiswhen the sum of the pressures of the sensors is less than 100N after the seat person leaves the chair, recording the corresponding time Tie，Tis—TieIf the difference value is larger than the preset value, the sitting person is judged to be sedentary; the opposite is not.
2. the intelligent seat system according to claim 1, wherein the upper computer (4) comprises a communication module (41), a processor module (42), a display module (43) and a power module (44), the processor module (42) is respectively connected with the communication module (41) and the display module (43), and the power module (44) is respectively connected with the communication module (41), the processor module (42) and the display module (43).
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| CN108180970A (en) * | 2018-01-11 | 2018-06-19 | 锐马（福建）电气制造有限公司 | It is a kind of for instructing to kneel weighing for standing position state and kneel title |
| CN111067541A (en) * | 2019-12-27 | 2020-04-28 | 浙江圣奥家具制造有限公司 | Intelligent health prompting system and intelligent health prompting method |
| CN114267164A (en) * | 2021-12-29 | 2022-04-01 | 广州理工学院 | Sitting posture detection method |
| CN114088423B (en) * | 2022-01-21 | 2022-04-12 | 常州市睿熠通电器有限公司 | Durability test system of seat regulator |
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| CN102846051A (en) * | 2011-06-29 | 2013-01-02 | 上海阿旺特家具有限公司 | Chair with sitting posture detection device |
| CN104013229A (en) * | 2014-05-16 | 2014-09-03 | 湖南农业大学 | Chair capable of automatically rectifying sitting posture and application method thereof |
| CN203914196U (en) * | 2014-06-10 | 2014-11-05 | 北京乐动卓越科技有限公司 | Intelligent seat |
| CN105147296A (en) * | 2015-07-09 | 2015-12-16 | 广东小天才科技有限公司 | User information detection method and apparatus |
| CN105915569A (en) * | 2015-11-12 | 2016-08-31 | 上海童舒房科技股份有限公司 | Cloud-based sitting posture correction system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102846051A (en) * | 2011-06-29 | 2013-01-02 | 上海阿旺特家具有限公司 | Chair with sitting posture detection device |
| CN104013229A (en) * | 2014-05-16 | 2014-09-03 | 湖南农业大学 | Chair capable of automatically rectifying sitting posture and application method thereof |
| CN203914196U (en) * | 2014-06-10 | 2014-11-05 | 北京乐动卓越科技有限公司 | Intelligent seat |
| CN105147296A (en) * | 2015-07-09 | 2015-12-16 | 广东小天才科技有限公司 | User information detection method and apparatus |
| CN105915569A (en) * | 2015-11-12 | 2016-08-31 | 上海童舒房科技股份有限公司 | Cloud-based sitting posture correction system |
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