CN103932798A - System and method for achieving non-contact sleep monitoring based on big data analysis - Google Patents

System and method for achieving non-contact sleep monitoring based on big data analysis Download PDF

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Publication number
CN103932798A
CN103932798A CN201410170305.7A CN201410170305A CN103932798A CN 103932798 A CN103932798 A CN 103932798A CN 201410170305 A CN201410170305 A CN 201410170305A CN 103932798 A CN103932798 A CN 103932798A
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sleep
weight
data
bed
pressure
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不公告发明人
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Abstract

The invention relates to a system and method for achieving non-contact sleep monitoring based on big data analysis. A specially customized bed is not needed, no equipment needs to be worn on the human body, data collecting and sleep monitoring controllers of pressure sensors are distributed under bed legs of a common bed to perform big data analysis on data, and the daily, weekly and monthly sleep health statuses are monitored and managed through a mobile phone client side of a Wi-Fi network.

Description

A kind of system and method for realizing contactless Sleep-Monitoring based on large data analysis
Technical field
The present invention relates to large data analysis and data communication field, specially refer to the system and method for realizing contactless Sleep-Monitoring based on large data analysis.
Background technology
Ensure that be very important the normal length of one's sleep every day, general adult should, at 6-9 hour, can make people maintain a more stable biorhythm like this, is all useful to human body body and mind.But for the length of the length of one's sleep, there is no unified saying, about should how many hours sleeping every day, because individual physique there are differences, how long slept for individual actually, should how long sleep, sleep quality is as how, traditional way is that the bed by dress watch-dog or a kind of specific customization on people's body is realized, but traditional method inconvenient operation, require the higher persistence that also do not have, patent of the present invention has been concerned about the problem of this respect, invent a kind of system and method for realizing contactless Sleep-Monitoring based on large data analysis, thereby the large data of analysis carry out digital collection and to(for) everyone sleep realizes the health tracking of sleeping.
Summary of the invention
Main purpose of the present invention is to provide a set of contactless sleep monitoring system and implementation method, by the digital collection of load capacity on bed and large data relation analysis are realized to Sleep-Monitoring, and is managed and is followed the tracks of by the cell-phone customer terminal of Wi-Fi network.
The technical solution adopted for the present invention to solve the technical problems comprises: system is by the client being arranged on mobile phone or PAD, Sleep-Monitoring controller, pressure inductor is totally 3 part compositions, user is put into multiple (at least 4) pressure inductor below 4 cabinet bases of common bed and carries out pressure data collection, Sleep-Monitoring controller carries out large data analysis by the pressure data gathering, sum up user's quality condition of sleeping every day according to the situation of historical variations trend and abrupt change, major parameter has (the bedtime length of one's sleep, between WA, sleep duration), interruptions of sleep (the number of times of getting up night, the interval of getting up night, the duration of getting up night), sleep activity (night bed activities number of times and duration) and body weight change situation, user is by being arranged on mobile phone or PAD client is connected to Sleep-Monitoring controller by Wi-Fi, manage every day by cell-phone customer terminal, weekly, sleep health status report monthly, simultaneity factor is according to the historical data gathering, sum up user's sleep habit and suggestion, thereby the health that realizes sleep is followed the tracks of.
The invention has the beneficial effects as follows, do not need the bed of special customization, also need to not dress any equipment with it at human body, just can realize the healthy tracking of lasting sleep by laying pressure inductor coupled system under the cabinet base at common bed, and by checking and control report in the client of mobile phone or PAD, operate very aspect, execution efficiency is high, and possesses higher sustainability.
Brief description of the drawings
Below in conjunction with accompanying drawing and embodiment, the present invention is further described
Fig. 1 is collection and the large data analysis schematic flow sheet that the present invention is based on large data analysis and realize contactless Sleep-Monitoring
Fig. 2 is the cell-phone customer terminal management and supervision schematic flow sheet that the present invention is based on large data analysis and realize contactless Sleep-Monitoring
Fig. 3 is the key function module schematic diagram that the present invention is based on large data analysis and realize contactless sleep monitoring system.
Detailed description of the invention
The invention process is mainly by the pressure data collection of Sleep-Monitoring controller and large data analysis, and is managed and followed the tracks of by the cell-phone customer terminal of Wi-Fi network.Technical scheme mainly comprises data acquisition and large data analysis, and content and the realization of 2 aspects of cell-phone customer terminal management and supervision, describe respectively below;
With reference to Fig. 1, the present invention is based on large data analysis and realize collection and the large data analysis implementation step of contactless Sleep-Monitoring and comprise:
Step S101, Sleep-Monitoring controller is set up temporary pressure table, and the field of table comprises sequence number, gross weight, pressure sensitive 1 weight, pressure sensitive 2 weight, pressure sensitive 3 weight, pressure sensitive 4 weight, time.Set up length of one's sleep table (bedtime, between WA, sleep duration, date), interruptions of sleep table (number of times of getting up night, the interval of getting up night, the duration of getting up night, date), sleep activity table (night bed activities number of times and duration, date), body weight table (body weight, body weight change, date), form increases data automatically by system after creating, and user can not revise and delete.
Step S102, starts a second intervalometer, reads pressure inductor and leave data queue in after timer expiry, and the data that read out deposit temporary pressure table in, and this table is preserved the data of 24 hours, if overflowed, data below cover automatically.
Step S103, bunk bed analysis also writes the table length of one's sleep by result, start large data analysis function, take out data analysis of history data from temporary pressure table, the sky paving weight that system obtains nobody while sleeping, the general sack time 8:00 in evening of basis is to the next morning 10:00 again, afternoon nap 12:00 is to 15:00, during this period of time, if weight increases suddenly the weight increasing in human body weight scope simultaneously, being judged to be so a people goes to bed, continue to gain in weight and judge that second people goes to bed, if no one detects the minimizing of weight within a certain period of time, just be judged to be to go to bed, exceed schedule time for entering sleep state.Exceeding after certain hour, approaching and judge someone and get up when weight reduces suddenly and reduces with the weight increasing, system log (SYSLOG) bedtime, between WA with the parameter such as duration.The weight that system increases when going to bed determines people's identity, gives automatic numbering and default name, and follow-up system represents the people of concrete sleep according to this numbering, produces exception record when finding that there is when different people sleeps this.
Step S104, interruptions of sleep analysis also writes interruptions of sleep table by result, object is to judge middle whether the getting up (go up toilet or do other things) of sleeping, start large data analysis function, take out data analysis of history data from temporary pressure table, system has detected user at sleep state, if weight reduces suddenly, the people of which numbering according to the Weight identify reducing, judge whether user returns to bed upper (sense weight increase) within a certain period of time simultaneously, and reenter sleep state, be judged to be so a people gets up midway, writing time and duration, analyze total data always and be recorded to data base.
Step S105, sleep activity analysis also writes result between sleep activity and shows, and object is to judge whether to have in bed activity, start large data analysis function, take out data analysis of history data from temporary pressure table, system has detected user in bed, if overall weight fluctuation is little, but the fluctuation of each pressure inductor strengthens, be judged to be people movable in bed, the time started of system log (SYSLOG) activity, the end time, duration has also been analyzed total data always and has been recorded to data base.
Step S106, body weight change analysis also writes sleep body weight table by result of variations, and object is the situation of change of observing body weight between user's sleep period, also can monitor the body weight change in certain cycle simultaneously.When system is gone to bed according to user, the unexpected increase of weight obtains the people's of reference numeral body weight, because data exist provisional fluctuation, according to large data analysis, get maximum frequencies and immediate data, use similar method to calculate weekly, monthly body weight change be recorded to data base.
By control and the analysis of above step, just realize the collection of sleep data, realize the analysis of large data, thereby obtained sleep relevant parameter and data.
With reference to Fig. 2, the present invention is based on large data analysis and realize the cell-phone customer terminal management and supervision implementation step of contactless Sleep-Monitoring and comprise:
Step S201, mobile phone client software is installed, based on the client software of Android and the exploitation of iOS operating system, can be installed to mobile phone and Pad, this client is connected to Sleep-Monitoring controller by WiFi, user first downloads and according to prompting, Sleep-Monitoring client software is installed from the APP Store of Android market and Apple, and click starts this software.
Step S202, mobile phone connects Sleep-Monitoring controller, the wireless connections of opening mobile phone, finding SSID is the wireless of SLEEP, the WEP password that input sets in advance, and realize being connected and cipher authentication of mobile phone and Sleep-Monitoring controller.
Step S203, checks report, and user can check bunk bed analysis report, checks interrupt analysis report, checks activity analysis report, checks body weight change analysis report.Select by sky, by week and the inquiry of immediate mode monthly, also can specify time started and end time to inquire about, on mobile phone, by curve chart, the form of block diagram and form presents, and user's sleep habit adopts written form to show simultaneously.Cell-phone customer terminal also provides the backup and the function of sharing and forwarding of data.
By operation and the control of above step, the analytical data that just can sleep by the Sleep-Monitoring client query on mobile phone or PAD, and by curve chart, the form of block diagram and form presents.
With reference to Fig. 3, a kind of system that realizes contactless Sleep-Monitoring based on large data analysis of the present invention is mainly implemented module and is comprised:
M101 cell-phone customer terminal module, based on the client software of Android and the exploitation of iOS operating system, can be installed to mobile phone and Pad, this client is connected to Sleep-Monitoring controller by WiF, by after authenticating and can check that correlation report comprises: the length of one's sleep (bedtime, between WA, sleep duration), interruptions of sleep (the number of times of getting up night, the interval of getting up night, the duration of getting up night), sleep activity (night bed activities number of times and duration), body weight change, sleep habit and suggestion.This client also realizes the setting of parameter and controls function simultaneously, comprises name and age etc. that sleeping people is set, and the parameter of pressure inductor etc. is set.
M201 WiFi communication module, belongs to the submodule of Sleep-Monitoring controller, and the radio communication being connected with mobile phone or PAD client is provided, and supports 11ac, 11n/b/g, and the request of wireless access certification and terminal that realizes is to the forwarding of other modules.
M202 data acquisition module, belong to the submodule of Sleep-Monitoring controller, realize the data acquisition of pressure inductor, built-in timer, timing acquiring is obtained the data that report from multiple pressure inductors, and the data that report are gathered, remove undesirable data according to the trend of historical data, satisfactory data are put into buffer queue, wait for large data analysis module reading out data, this module also realizes detection and the managerial function to pressure inductor hardware simultaneously.
The large data analysis module of M203, belongs to the submodule of Sleep-Monitoring controller, sets up and safeguard interim Pressure gauge, and because data volume is larger, native system is realized by memory database; The data of timing reading out data acquisition module per second also deposit Pressure gauge in; Simultaneity factor is set up the table length of one's sleep of final result, interruptions of sleep table, sleep activity table and body weight change table, and according to bunk bed analytic process, interrupt analysis method, activity analysis method, body weight detects and historical associated data is analyzed, and result is put into final result table, the data that this table essential record changes, for not being connected and not having vicissitudinous data only to retain one, this result data can be preserved 10 years, and data are stored in FLASH.
M204 record and report module, belong to the submodule of Sleep-Monitoring controller, receive the request of checking from client, the condition that need to inquire about according to user, realize by sky, by week and the length of one's sleep monthly, interruptions of sleep, sleep activity and body weight change inquiry, use curve figure simultaneously, the form of block diagram and form is presented to client, and user's sleep habit adopts written form to show, and provides user data to derive and backup functionality.
M301 pressure inductor module, by built-in sensitive chip, by the pressure on the number collecting, and is input to Sleep-Monitoring controller by Serial Port Line or USB line, and 4 pressure sensitives are supported in this system standard, is placed in respectively 4 feet of bed.
Realize compared with technology with existing, the inventive method can be by the client of mobile phone or PAD, realize that lasting sleep is healthy to be followed the tracks of by the collection of human body non-contact inductive and large data analysis, operates very aspect, and execution efficiency is high.
The technical scheme above embodiment of the present invention being provided is described in detail, applied principle and the embodiment of specific case to the embodiment of the present invention herein and set forth, the explanation of above embodiment is only applicable to help to understand the principle of the embodiment of the present invention; , for one of ordinary skill in the art, according to the embodiment of the present invention, in detailed description of the invention and range of application, all will change, in sum, this description should not be construed as limitation of the present invention meanwhile.

Claims (5)

1. realize the system and method for contactless Sleep-Monitoring based on large data analysis for one kind, it is characterized in that: by the client being arranged on mobile phone or PAD, Sleep-Monitoring controller, pressure inductor is totally 3 part compositions, 4 pressure inductors are put into below 4 cabinet bases of common bed and carry out pressure data collection, Sleep-Monitoring controller carries out bunk bed analysis by the pressure data gathering, interrupt analysis, activity analysis, body weight detects and historical associated data analysis, according to sleep every day quality manage every day by cell-phone customer terminal of the situation supervisory user of historical variations trend and abrupt change, weekly, sleep health status report monthly.
2. pressure data collection according to claim 1, it is characterized in that: pressure inductor module is by built-in sensitive chip, be input to Sleep-Monitoring controller by the pressure on the number collecting and by Serial Port Line or USB line, Sleep-Monitoring controller is set up temporary pressure table and is comprised and be not limited to sequence number, gross weight, pressure sensitive 1 weight, pressure sensitive 2 weight, pressure sensitive 3 weight, pressure sensitive 4 weight, time; System start-up intervalometer second reads pressure inductor and leaves data queue in after timer expiry, and the data that read out deposit temporary pressure table in, and this table is preserved the data of 24 hours, if overflowed, data below cover automatically; System is set up length of one's sleep table simultaneously and is comprised and be not limited to bedtime, between WA, and sleep duration, date, interruptions of sleep table comprises and is not limited to the number of times of getting up night, the interval of getting up night, the duration of getting up night, date, sleep activity table comprises and is not limited to bed activities number of times and duration at night, and on the date, body weight table comprises and is not limited to body weight, body weight change, the date.
3. large data analysis according to claim 1, it is characterized in that: take out data analysis of history data from temporary pressure table, the sky paving weight that system obtains nobody while sleeping, if in historical sack time section, weight increases suddenly the weight simultaneously increasing in human body weight scope, is judged to be so a people and goes to bed, if the minimizing of weight do not detected within a certain period of time, just be judged to be to go to bed, exceed schedule time for entering sleep state; Exceeding after certain hour, weight reduces suddenly, and reduces and identically with the weight of increase judge someone and get up, and system log (SYSLOG) bedtime, between WA and duration parameters; The weight that system increases when going to bed determines people's identity, gives automatic numbering and default name, and represents the people of concrete sleep by this numbering, produces exception record when finding that there is when different people sleeps this.
4. large data analysis according to claim 1, it is characterized in that: take out data analysis of history data from temporary pressure table, system detects user at sleep state, if weight reduces suddenly, and the weight of returning in certain hour on bed increases, and reenter sleep state, be judged to be a people and get up midway; If overall weight fluctuation is little, but the fluctuation of each pressure inductor increasing has been judged to be people movable in bed; While going to bed, the unexpected increase of weight realizes the people's of reference numeral Avoirdupois monitoring, and data are existed to provisional fluctuation, gets maximum frequencies and immediate data as weight data.
5. according to claim 1ly manage by cell-phone customer terminal, it is characterized in that: the client software based on Android and the exploitation of iOS operating system is connected to Sleep-Monitoring controller by WiFi, realize the certification of mobile phone control and management by wireless WEP cipher authentication, user can check bunk bed analysis report, interrupt analysis report, activity analysis report and body weight change analysis report, select by sky, by week and the inquiry of immediate mode monthly, also can specify time started and end time inquiry, on mobile phone, pass through curve chart, the form of block diagram and form presents.
CN201410170305.7A 2014-05-16 2014-05-16 System and method for achieving non-contact sleep monitoring based on big data analysis Pending CN103932798A (en)

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CN105117007A (en) * 2015-08-20 2015-12-02 小米科技有限责任公司 Control method and device of display equipment and intelligent pad
CN105434043A (en) * 2014-09-01 2016-03-30 上海宽带技术及应用工程研究中心 Method and system for determining Pittsburgh sleep quality indexes
CN106108911A (en) * 2016-06-17 2016-11-16 美的集团股份有限公司 The method and system that a kind of user of determination gets up in the night to urinate
CN106326672A (en) * 2016-08-31 2017-01-11 珠海多士科技有限公司 Falling into sleep detecting method and system
CN106725383A (en) * 2016-12-28 2017-05-31 天津众阳科技有限公司 Sleep state judgement system and method based on action and heart rate
CN108958073A (en) * 2018-06-19 2018-12-07 珠海格力电器股份有限公司 A kind of method and electric appliance using experiment big data verifying product function point logic
CN109394224A (en) * 2018-07-20 2019-03-01 渝新智能科技(上海)有限公司 A kind of recognition methods, device and the equipment of user's revival
CN110420013A (en) * 2019-09-04 2019-11-08 欧俊勇 A kind of health intelligent sleep monitoring system bed
CN112413829A (en) * 2020-11-16 2021-02-26 珠海格力电器股份有限公司 Sleep data processing method, device, equipment and readable medium
CN113143260A (en) * 2021-04-06 2021-07-23 浙江有邻网络科技有限公司 Method for identifying bed state of solitary personnel
WO2022226909A1 (en) * 2021-04-29 2022-11-03 京东方科技集团股份有限公司 Sleep data processing method and apparatus, and computer device, program and medium

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CN105434043A (en) * 2014-09-01 2016-03-30 上海宽带技术及应用工程研究中心 Method and system for determining Pittsburgh sleep quality indexes
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CN110420013A (en) * 2019-09-04 2019-11-08 欧俊勇 A kind of health intelligent sleep monitoring system bed
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CN112413829B (en) * 2020-11-16 2022-03-18 珠海格力电器股份有限公司 Sleep data processing method, device, equipment and readable medium
CN113143260A (en) * 2021-04-06 2021-07-23 浙江有邻网络科技有限公司 Method for identifying bed state of solitary personnel
WO2022226909A1 (en) * 2021-04-29 2022-11-03 京东方科技集团股份有限公司 Sleep data processing method and apparatus, and computer device, program and medium

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Application publication date: 20140723