CN110916669A - Children height and weight data acquisition system based on Internet of things - Google Patents
Children height and weight data acquisition system based on Internet of things Download PDFInfo
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- CN110916669A CN110916669A CN201911275312.2A CN201911275312A CN110916669A CN 110916669 A CN110916669 A CN 110916669A CN 201911275312 A CN201911275312 A CN 201911275312A CN 110916669 A CN110916669 A CN 110916669A
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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
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1072—Measuring physical dimensions, e.g. size of the entire body or parts thereof measuring distances on the body, e.g. measuring length, height or thickness
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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
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1075—Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/44—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons
- G01G19/50—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons having additional measuring devices, e.g. for height
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/06—Children, e.g. for attention deficit diagnosis
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Abstract
The invention relates to the technical field of monitoring of growth and development conditions of children, and discloses a children height and weight data acquisition system based on the Internet of things, which comprises: the face information big data platform stores student status information and comprises a cloud server running data acquisition system software; further comprising: the system comprises a data acquisition system arranged at the door of a classroom of a middle and primary school, wherein a communication module of the data acquisition system is in communication connection with a cloud server of a big data platform through a wireless public network; the data acquisition system comprises: the system comprises a collecting bracket, a weighing sensor, an intelligent lifter, a face recognition device and a distance measuring sensor. The invention realizes the technical effects of monitoring the growth and development of children and evaluating the nutritional status.
Description
Technical Field
The invention relates to the technical field of monitoring of growth and development conditions of children, in particular to a children height and weight data acquisition system based on the Internet of things.
Background
The growth, development and body type of the body of the child are influenced by genetic and environmental factors, more importantly, nutritional factors, and the weight and the height can comprehensively reflect the intake, utilization and storage conditions of protein, energy and some inorganic elements and can also reflect the development and potential capability of organisms, muscles and internal organs. Measurement parameters in terms of weight, height (length) and body type are often used as observation indicators for assessing the nutritional status of children. Meanwhile, the height and the weight are easy to measure relative to other human body indexes. Therefore, when children are monitored for growth and development and nutritional status, the two indexes are often used as main monitoring contents.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a children height and weight data acquisition system based on the Internet of things, so as to achieve the technical purposes of monitoring the growth and development of children and evaluating the nutritional status.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme:
a children height and weight data acquisition system based on the Internet of things comprises: the face information big data platform stores student status information and comprises a cloud server running data acquisition system software;
further comprising: the system comprises a data acquisition system arranged at the door of a classroom of a middle and primary school, wherein a communication module of the data acquisition system is in communication connection with a cloud server of a big data platform through a wireless public network;
the data acquisition system comprises: the system comprises a collecting bracket, a weighing sensor, an intelligent lifter, a face recognition device and a distance measuring sensor;
the weighing sensor is in communication connection with a communication module of the data acquisition system through a wireless network;
the intelligent lifter is in communication connection with a communication module of the data acquisition system through a wireless network;
the face recognition device is in communication connection with a communication module of the data acquisition system through a wireless network;
the distance measuring sensor is in communication connection with a communication module of the data acquisition system through a wireless network.
Furthermore, the data acquisition system carries out face image acquisition to the student who prepares to get into the classroom through the camera of the face identification system who installs on the data acquisition system at middle and primary schools classroom gate, later this student stands upright on data acquisition system's weighing sensor, simultaneously intelligent riser descends to the position with student's top of the head mutual contact, weighing sensor measures this student's weight this moment, first range finding sensor and second range finding sensor measure student's height respectively, match this student's face image, height and weight, constitute student pairing information A.
Further, the data acquisition system transmits the pairing information A to a large face information data platform based on student status information, matches the student pairing information A with the student status information through face information comparison, and outputs student pairing information B based on name, gender, birth year and month, height, weight and parent contact information.
Further, the ranging sensors comprise a first ranging sensor (5) and a second ranging sensor (6);
the wireless module of the first distance measuring sensor (5) is in communication connection with the communication module of the data acquisition system through a wireless network;
and the wireless module of the second distance measuring sensor (6) is in communication connection with the communication module of the data acquisition system through a wireless network.
(III) advantageous technical effects
Compared with the prior art, the invention has the following beneficial technical effects:
the invention collects the student matching information A through the data acquisition system, and outputs the student matching information B based on name, gender, birth year and month, height, weight and parent contact way through the big data platform, thereby realizing the technical effects of monitoring the growth and development of children and evaluating the nutritional status.
Drawings
Fig. 1 is a schematic structural diagram of a data acquisition system of the present invention.
The following are marked in the figure: 1-collecting bracket, 2-weighing sensor, 3-intelligent lifter, 4-face recognition system, 5-first distance measuring sensor and 6-second distance measuring sensor.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
A children height and weight data acquisition system based on the Internet of things is shown in figure 1 and comprises: the face information big data platform stores student status information and comprises a cloud server running data acquisition system software;
further comprising: the system comprises a data acquisition system arranged at the door of a classroom of a middle and primary school, wherein a communication module of the data acquisition system is in communication connection with a cloud server of a big data platform through a wireless public network;
the data acquisition system comprises: the system comprises a collecting bracket 1, a weighing sensor 2, an intelligent lifter 3, a face recognition device 4 and a distance measuring sensor;
the weighing sensor 2 is in communication connection with a communication module of a data acquisition system through a wireless network;
the intelligent lifter 3 is in communication connection with a communication module of the data acquisition system through a wireless network;
the face recognition device 4 is in communication connection with a communication module of the data acquisition system through a wireless network;
the distance measuring sensor is in communication connection with a communication module of the data acquisition system through a wireless network.
Furthermore, the data acquisition system carries out face image acquisition to the student who prepares to get into the classroom through the camera of the face identification system who installs on the data acquisition system at middle and primary schools classroom gate, later this student stands upright on data acquisition system's weighing sensor, simultaneously intelligent riser descends to the position with student's top of the head mutual contact, weighing sensor measures this student's weight this moment, first range finding sensor and second range finding sensor measure student's height respectively, match this student's face image, height and weight, constitute student pairing information A.
Further, the data acquisition system transmits the pairing information A to a large face information data platform based on student status information, matches the student pairing information A with the student status information through face information comparison, and outputs student pairing information B based on name, gender, birth year and month, height, weight and parent contact information.
Further, the ranging sensors comprise a first ranging sensor 5 and a second ranging sensor 6;
the wireless module of the first distance measuring sensor 5 is in communication connection with the communication module of the data acquisition system through a wireless network;
the wireless module of the second distance measuring sensor 6 is in communication connection with the communication module of the data acquisition system through a wireless network.
This children height weight data acquisition system based on thing networking's theory of operation does: the method comprises the steps that a camera of a face recognition system arranged on a data acquisition system at the doorway of a classroom of a middle and primary school carries out face image acquisition on a student ready to enter the classroom, then the student stands on a weighing sensor of the data acquisition system, an intelligent lifter descends to a position where the head of the student is in contact with the head of the student, the weighing sensor measures the weight of the student, a first distance measuring sensor and a second distance measuring sensor respectively measure the height of the student, and the face image, the height and the weight of the student are matched to form student pairing information A;
the data acquisition system transmits the pairing information A to a large face information data platform based on student status information, matches the student pairing information A with the student status information through face information comparison, and outputs student pairing information B based on name, gender, birth year and month, height, weight and parent contact information;
and comprehensively evaluating the growth and development and the nutritional status of the children on the student matching information B, and sending problem feedback and guidance suggestions by the parents of the students with unqualified comprehensive evaluation levels.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (4)
1. The utility model provides a children height weight data acquisition system based on thing networking which characterized in that includes: the face information big data platform stores student status information and comprises a cloud server running data acquisition system software;
further comprising: the system comprises a data acquisition system arranged at the door of a classroom of a middle and primary school, wherein a communication module of the data acquisition system is in communication connection with a cloud server of a big data platform through a wireless public network;
the data acquisition system comprises: the system comprises a collecting bracket (1), a weighing sensor (2), an intelligent lifter (3), a face recognition device (4) and a distance measuring sensor;
the weighing sensor (2) is in communication connection with a communication module of the data acquisition system through a wireless network;
the intelligent lifter (3) is in communication connection with a communication module of the data acquisition system through a wireless network;
the face recognition device (4) is in communication connection with a communication module of the data acquisition system through a wireless network;
the distance measuring sensor is in communication connection with a communication module of the data acquisition system through a wireless network.
2. The system for acquiring height and weight data of children as claimed in claim 1, wherein the data acquisition system acquires face images of students ready to enter the classroom through a camera of a face recognition system installed on the data acquisition system at the doorway of the classroom of the primary and secondary schools, and then the students stand upright on a weighing sensor of the data acquisition system, and simultaneously the intelligent lifter descends to a position where the intelligent lifter contacts with the top of the students, at this time, the weighing sensor measures the weight of the students, and the first distance measuring sensor and the second distance measuring sensor measure the heights of the students respectively, so as to match the face images, the heights and the weights of the students to form student pairing information a.
3. The system for acquiring height and weight data of children according to claim 2, wherein the data acquisition system transmits the pairing information a to a big data platform of face information based on student status information, matches the student pairing information a with the student status information by comparing the face information, and outputs student pairing information B based on name, gender, birth year and month, height, weight, and parental contact information.
4. The children's height and weight data acquisition system according to claim 3, wherein the ranging sensors comprise a first ranging sensor (5) and a second ranging sensor (6);
the wireless module of the first distance measuring sensor (5) is in communication connection with the communication module of the data acquisition system through a wireless network;
and the wireless module of the second distance measuring sensor (6) is in communication connection with the communication module of the data acquisition system through a wireless network.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911275312.2A CN110916669A (en) | 2019-12-12 | 2019-12-12 | Children height and weight data acquisition system based on Internet of things |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201911275312.2A CN110916669A (en) | 2019-12-12 | 2019-12-12 | Children height and weight data acquisition system based on Internet of things |
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| CN110916669A true CN110916669A (en) | 2020-03-27 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201911275312.2A Withdrawn CN110916669A (en) | 2019-12-12 | 2019-12-12 | Children height and weight data acquisition system based on Internet of things |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111067481A (en) * | 2019-12-10 | 2020-04-28 | 庄雪莲 | Railway passenger health assessment method based on big data technology |
| CN115223286A (en) * | 2022-06-14 | 2022-10-21 | 潮趴部落(杭州)科技有限公司 | Intelligent door frame of customer's characteristic perception |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0545014A1 (en) * | 1991-11-29 | 1993-06-09 | Tanita Corporation | Method and apparatus for measuring body fat |
| CN108553103A (en) * | 2018-05-11 | 2018-09-21 | 珠海云麦科技有限公司 | One kind having artificial intelligence Human fat balance |
| CN208155439U (en) * | 2018-03-25 | 2018-11-27 | 点点时光（武汉）科技有限公司 | A kind of multi-functional physical-examination instrument and Physical Examination System |
| CN109556697A (en) * | 2018-11-20 | 2019-04-02 | 陈昕 | A kind of child height weight household monitoring system |
| CN209131817U (en) * | 2018-11-19 | 2019-07-19 | 河南师范大学 | A kind of child height body weight measuring system with Application on Voiceprint Recognition function |
-
2019
- 2019-12-12 CN CN201911275312.2A patent/CN110916669A/en not_active Withdrawn
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP0545014A1 (en) * | 1991-11-29 | 1993-06-09 | Tanita Corporation | Method and apparatus for measuring body fat |
| CN208155439U (en) * | 2018-03-25 | 2018-11-27 | 点点时光（武汉）科技有限公司 | A kind of multi-functional physical-examination instrument and Physical Examination System |
| CN108553103A (en) * | 2018-05-11 | 2018-09-21 | 珠海云麦科技有限公司 | One kind having artificial intelligence Human fat balance |
| CN209131817U (en) * | 2018-11-19 | 2019-07-19 | 河南师范大学 | A kind of child height body weight measuring system with Application on Voiceprint Recognition function |
| CN109556697A (en) * | 2018-11-20 | 2019-04-02 | 陈昕 | A kind of child height weight household monitoring system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111067481A (en) * | 2019-12-10 | 2020-04-28 | 庄雪莲 | Railway passenger health assessment method based on big data technology |
| CN115223286A (en) * | 2022-06-14 | 2022-10-21 | 潮趴部落(杭州)科技有限公司 | Intelligent door frame of customer's characteristic perception |
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