CN110517778A - A kind of method for weight management of Intelligent weight scale - Google Patents
A kind of method for weight management of Intelligent weight scale Download PDFInfo
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- CN110517778A CN110517778A CN201910809458.4A CN201910809458A CN110517778A CN 110517778 A CN110517778 A CN 110517778A CN 201910809458 A CN201910809458 A CN 201910809458A CN 110517778 A CN110517778 A CN 110517778A
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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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Abstract
The invention discloses a kind of method for weight management of Intelligent weight scale, the method comprising the steps of 1: user adds essential information by the APP of mobile terminal, is then weighed using Intelligent weight scale；Step 2: the obtained weighing data of step 1 being analyzed, active user's BMI coefficient of primary Calculation is obtained；Step 3: condition judgement being carried out according to essential information added in step 1, is compared and analyzed using essential information as condition by the data that big data obtains the same terms, obtains the BMI standard value of the condition；Step 4: whether the resulting BMI coefficient of judgment step 2 exceeds the resulting BMI standard value of step 3, it is chosen whether if exceeding by APP as pregnant woman, if pregnant woman, pregnancy period data and pregestational weight are then inputted by APP, recommend different pregnant preceding BMI index pregnant woman pregnancy period body weight increase standards with WHO in conjunction with essential information, the body weight increase upper limit for obtaining the pregnancy period is for reference.
Description
Technical field
The present invention relates to Intelligent weight scale field, is a kind of method for weight management of Intelligent weight scale specifically.
Background technique
Intelligent weight scale generally comprises display component, weight test sensory package, measured body weight circuit unit, power supply group
Part, intelligent control component.Wherein intelligent control component includes wireless transport module, signal dispatcher module, data storage analysis mould
Block and power management control module, the signal dispatcher module is for receiving said modules recorded data, and by the data
It is sent to data storage analysis module, data storage analysis module is analyzed and is stored to the information of acquisition, point
Data after analysis are sent to the wireless transport module by the signal dispatcher module, which is used for and outer net or shifting
Dynamic terminal connection, and mobile terminal APP is sent by the data after the analysis, and receive from the mobile terminal to the intelligence
The control instruction of scale.And wireless transport module communication modes common are Zigbee, Z-Wave, bluetooth, Wifi etc..
Existing intelligence scale technology is very mature, and function is also very humanized.As signal dispatcher module passes through mobile terminal
APP can typing user basic information (height age etc.), pass through data and store analysis module and execute (according to height age BMI etc.
Data intelligence calculates ideal body weight), obtain the actual weight of active user and the ideal body weight that can be referred to.But current family
Do not add group classification with Intelligent weight scale mainstay, when some pregnant woman weighing, causes to be mistaken as being too obese, can not give
The upper weight limit that can refer to out.
Summary of the invention
The purpose of the present invention is to provide a kind of method for weight management of Intelligent weight scale, for solving intelligence in the prior art
The problem of energy scale does not add group classification, can not provide the upper weight limit that can refer to.
The present invention is solved the above problems by following technical proposals:
A kind of method for weight management of Intelligent weight scale, this method comprises the following steps:
Step 1: user adds essential information by the APP of mobile terminal, is then weighed using Intelligent weight scale；
Step 2: the obtained weighing data of step 1 being analyzed, active user's BMI coefficient of primary Calculation is obtained；
Step 3: condition judgement being carried out according to essential information added in step 1, is passed through using essential information as condition big
The data of data acquisition the same terms compare and analyze, and obtain the BMI standard value of the condition；
Step 4: whether the resulting BMI coefficient of judgment step 2 exceeds the resulting BMI standard value of step 3, passes through if exceeding
APP chooses whether then to input pregnancy period data and pregestational weight by APP if pregnant woman for pregnant woman, transports in conjunction with essential information
Recommend different pregnant preceding BMI index pregnant woman pregnancy period body weight increase standards with WHO, the body weight increase upper limit for obtaining the pregnancy period is joined for user
It examines.
Preferably, the essential information includes the pet name, height, age and gender.
Preferably, the step 3 is judged according to gender first, the data of identical gender is obtained by big data, so
The data for screening same height afterwards, finally compare and analyze in conjunction with age data, obtain same gender, height and each group at age
The BMI coefficient of data calculates the average value of gained BMI coefficient as standard BMI coefficient.
Preferably, the pregnancy period data in the step 4 are the last menstrual period time, and system calculates pregnancy according to this time automatically
All numbers.
Compared with prior art, the present invention have the following advantages that and the utility model has the advantages that
(1) the present invention is based on big data technologies, after the data such as weight are analyzed, obtain the classification of special population, and then obtain
The upper weight limit of pregnancy period body weight increase out, pregnant woman carry out weight intervention in time, and when discovery weight is abnormal, promotion early medical care is most
Power accomplishes that disease is not controlled first；While the improvement is easily realized, the wave for only needing original Intelligent weight scale upgrading APP program, avoiding resource
Take.
(2) present invention is divided by carrying out group classification with user basic information with data such as height, age and genders
Group, calculates the BMI factor standard value of each grouping, and such BMI coefficient has better reference value.
Detailed description of the invention
Fig. 1 is the method for weight management schematic process flow diagram of Intelligent weight scale of the invention.
Specific embodiment
The present invention is described in further detail below with reference to embodiment, embodiments of the present invention are not limited thereto.
Embodiment 1:
In conjunction with shown in attached drawing 1, a kind of method for weight management of Intelligent weight scale, the present invention includes Intelligent weight scale and movement
Terminal APP, step 1: user adds the essential informations such as the pet name, height, age and gender by the APP of mobile terminal, then
It is weighed using Intelligent weight scale；
Step 2: the obtained weighing data of step 1 being analyzed, active user's BMI coefficient of primary Calculation is obtained；
Step 3: condition judgement being carried out according to essential information added in step 1, is passed through using essential information as condition big
The data of data acquisition the same terms compare and analyze, and are first judged according to gender, obtain identical gender by big data
Data, then screen the data of same height, finally compared and analyzed in conjunction with age data, obtain same gender, height and
The BMI coefficient of each group of data at age calculates the average value of gained BMI coefficient as standard BMI coefficient；
Step 4: whether the resulting BMI coefficient of judgment step 2 exceeds the resulting BMI standard value of step 3, passes through if exceeding
APP chooses whether then to input last menstrual period time and pregestational weight by APP, system is according at this time if pregnant woman for pregnant woman
Between calculate all numbers that is pregnant automatically, recommend different pregnant preceding BMI index pregnant woman pregnancy period body weight increases with WHO in conjunction with essential information
Standard, the body weight increase upper limit for obtaining the pregnancy period are for reference.
Specifically, user passes through Intelligent weight scale APP addition essential information (pet name, height, age, gender)；
It is weighed using intelligent scale；
Data recorded above are received by signal dispatcher module, and send the data to data storage analysis module；
Data storage analysis module primary Calculation goes out the BMI coefficient of active user, BMI=weight (kg)/height 2 (m)；
Does is store analysis module and carry out condition judgement: active user's gender female it is no, then it is common Intelligent weight scale
Mode: mobile terminal shows the weight of active user, current BMI coefficient, ideal body weight；It is then to rely on big data technology, pass through
The mass data comparative analysis of identical gender, age and height, obtains BMI standard value；
Does storage analysis module carries out condition judgement again: active user BMI exceed standard value it is no, then it is common
Intelligent weight scale mode；It is that then APP provides option, guidance user chooses whether as pregnant woman, and classification information is by signal dispatcher module
It receives；
Does is storage analysis module carries out condition judgement again: active user pregnant woman it is no, then it is common Intelligent weight
Scale mode；It is then to guide user to input last menstrual period (calculating pregnant week automatically) and pregestational weight by APP, in conjunction with known body
The information such as high age, the pregnant preceding BMI index pregnant woman pregnancy period body weight increase standard of difference recommended with WHO, formulate pregnancy period weight and increase
Long upper weight limit, and it is for reference to be shown to mobile terminal.
Although reference be made herein to invention has been described for explanatory embodiment of the invention, and above-described embodiment is only this hair
Bright preferable embodiment, embodiment of the present invention are not limited by the above embodiments, it should be appreciated that those skilled in the art
Member can be designed that a lot of other modification and implementations, these modifications and implementations will fall in principle disclosed in the present application
Within scope and spirit.
Claims (4)
1. a kind of method for weight management of Intelligent weight scale, which is characterized in that this method comprises the following steps:
Step 1: user adds essential information by the APP of mobile terminal, is then weighed using Intelligent weight scale；
Step 2: the obtained weighing data of step 1 being analyzed, active user's BMI coefficient of primary Calculation is obtained；
Step 3: condition judgement being carried out according to essential information added in step 1, passes through big data by condition of essential information
The data for obtaining the same terms compare and analyze, and obtain the BMI standard value of the condition；
Step 4: whether the resulting BMI coefficient of judgment step 2 exceeds the resulting BMI standard value of step 3, passes through APP if exceeding
It chooses whether then to input pregnancy period data and pregestational weight by APP if pregnant woman for pregnant woman, be used in conjunction with essential information
WHO recommends different pregnant preceding BMI index pregnant woman pregnancy period body weight increase standards, and the body weight increase upper limit for obtaining the pregnancy period is joined for user
It examines.
2. the method for weight management of Intelligent weight scale according to claim 1, it is characterised in that: the essential information includes
The pet name, height, age and gender.
3. the method for weight management of Intelligent weight scale according to claim 2, which is characterized in that the step 3 root first
Judged according to gender, the data of identical gender are obtained by big data, then screen the data of same height, finally combines year
Age data compare and analyze, and obtain the BMI coefficient of same gender, height and each group of data at age, calculate gained BMI coefficient
Average value is as standard BMI coefficient.
4. the method for weight management of Intelligent weight scale according to claim 2, which is characterized in that pregnant in the step 4
Issue evidence is the last menstrual period time, and system calculates all numbers of pregnancy according to this time automatically.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910809458.4A CN110517778A (en) | 2019-08-29 | 2019-08-29 | A kind of method for weight management of Intelligent weight scale |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113825253A (en) * | 2021-11-23 | 2021-12-21 | 深圳市计量质量检测研究院（国家高新技术计量站、国家数字电子产品质量监督检验中心） | Intelligent electronic scale monitoring system and method based on big data |
| CN116030979A (en) * | 2022-12-29 | 2023-04-28 | 中山佳维电子有限公司 | Method for monitoring body index of pregnant woman |
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| CN106447569A (en) * | 2016-10-21 | 2017-02-22 | 大连千松科技有限公司 | Pregnancy nutrition management method and device based on Internet |
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| CN109637666A (en) * | 2018-12-13 | 2019-04-16 | 重庆大学 | A kind of Weight management system |
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| CN103674210A (en) * | 2013-12-27 | 2014-03-26 | 天津森宇科技发展有限公司 | Weighing scale for health monitoring |
| CN106447569A (en) * | 2016-10-21 | 2017-02-22 | 大连千松科技有限公司 | Pregnancy nutrition management method and device based on Internet |
| CN106845070A (en) * | 2016-12-15 | 2017-06-13 | 杭州联络互动信息科技股份有限公司 | A kind of data correlation store method and device based on Intelligent weight scale |
| CN107273666A (en) * | 2017-05-26 | 2017-10-20 | 武汉大学 | A kind of healthy data overall analysis system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113825253A (en) * | 2021-11-23 | 2021-12-21 | 深圳市计量质量检测研究院（国家高新技术计量站、国家数字电子产品质量监督检验中心） | Intelligent electronic scale monitoring system and method based on big data |
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| CN116030979A (en) * | 2022-12-29 | 2023-04-28 | 中山佳维电子有限公司 | Method for monitoring body index of pregnant woman |
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