CN206610413U - Family endowment system based on body-sensing net - Google Patents
Family endowment system based on body-sensing net Download PDFInfo
- Publication number
- CN206610413U CN206610413U CN201720213441.9U CN201720213441U CN206610413U CN 206610413 U CN206610413 U CN 206610413U CN 201720213441 U CN201720213441 U CN 201720213441U CN 206610413 U CN206610413 U CN 206610413U
- Authority
- CN
- China
- Prior art keywords
- sensor
- house
- sensing net
- old man
- watch
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 230000001133 acceleration Effects 0.000 claims description 15
- 230000036541 health Effects 0.000 abstract description 26
- 238000012544 monitoring process Methods 0.000 abstract description 19
- 238000013480 data collection Methods 0.000 description 14
- 238000001514 detection method Methods 0.000 description 13
- 230000033001 locomotion Effects 0.000 description 12
- 238000000034 method Methods 0.000 description 8
- 238000004891 communication Methods 0.000 description 7
- 238000005516 engineering process Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 6
- 230000005764 inhibitory process Effects 0.000 description 5
- 230000009471 action Effects 0.000 description 4
- 230000003068 static effect Effects 0.000 description 4
- 230000002159 abnormal effect Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 3
- 238000013459 approach Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 239000000284 extract Substances 0.000 description 3
- 238000000605 extraction Methods 0.000 description 3
- 230000004927 fusion Effects 0.000 description 3
- QSHDDOUJBYECFT-UHFFFAOYSA-N mercury Chemical compound [Hg] QSHDDOUJBYECFT-UHFFFAOYSA-N 0.000 description 3
- 229910052753 mercury Inorganic materials 0.000 description 3
- 206010020772 Hypertension Diseases 0.000 description 2
- 230000032683 aging Effects 0.000 description 2
- 230000003862 health status Effects 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 238000012384 transportation and delivery Methods 0.000 description 2
- 210000000707 wrist Anatomy 0.000 description 2
- 206010000117 Abnormal behaviour Diseases 0.000 description 1
- 206010067484 Adverse reaction Diseases 0.000 description 1
- 208000010340 Sleep Deprivation Diseases 0.000 description 1
- 230000006838 adverse reaction Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000037396 body weight Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011423 initialization method Methods 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000877 morphologic effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 239000000047 product Substances 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000003827 upregulation Effects 0.000 description 1
Landscapes
- Alarm Systems (AREA)
Abstract
Family endowment system based on body-sensing net belongs to intelligent home service system technical field, including house body-sensing net, server and smart mobile phone, and the house body-sensing net includes house sensor and house wireless network；The house sensor includes infrared sensor, entrance guard sensor, danger button, IP cameras and healthy watch；The house wireless network includes central controller and wireless router.The utility model creates a body-sensing network environment in the family, a kind of state for the old man for wearing healthy watch is analyzed by multiple sensors, the occurrence of greatly reducing false alarm, and the amendment of alarm threshold value can be carried out according to individual, the wrong report technical limitses of single sensor are overcome, a kind of health, security information monitoring system are provided for the old man of house life；The long distance monitoring informatization platform of children is set up, the platform for providing monitoring aged health, monitoring household safe for children and being linked up with old man.
Description
Technical field
The utility model belongs to intelligent home service system technical field, especially relates to a kind of residence based on body-sensing net
Domestic legacy system.
Background technology
Family endowment is the important channel for solving current aging population.The problem of an aging population is that whole world various countries are common
Problems faced, by the end of the year 2015, Chinese Aged accounts for global elderly population 21.4%, nearly ten years the increase of advanced age population
One times, city Empty nest elderly family accounting has reached 49.7%, and data statistics, the empty nest man of family not living home/class are done according to Chinese old-age group
Front yard will reach 90% in the year two thousand thirty.Family endowment service is actually the Zhi Chijia set up in the system of long-range science and technology
The new social service system of front yard tender feeling endowment, is the supplement and perfect, the practical reality for solving old man of other old-age provision models
It is difficult, it has also become the urgent demand of old man, sons and daughters.Thus family endowment is the problem that today's society must be studied.
Body-sensing net is a kind of new model Internet of Things for people, and family's monitoring market of China is although at the early-stage, still
Mobile household monitors product and plays immeasurable effect in terms of protection household safe, anticipating risk.Following mobile household
Monitoring system, will be a perfect Intellectualized monitoring system, combines the application such as 4G, security protection, intelligence, ecommerce, may be used also
The existing increment service system of flexible combination telecom operators, by TV entertainment, video monitoring, video conference, mobile video, can
It is incorporated into depending on multiple business such as communications on a platform and is supplied to user, configuration of superiorities is played, to meet the personalized need of user
Ask.Meanwhile, high-end home monitoring system can also be more intelligent, and advanced video intellectual analysis work(can be provided in terms of such as video surveillance
Can, including intellectual analysis region and border, Identification of Images, personage follow the trail of, personage counts etc.；Medical treatment, housekeeping, calling will also be combined
Etc. function, the application in terms of increase interlink warning and security service.
Multi-sensor fusion technology：There is a certain degree of mistake due to technology and use environment limitation in traditional sensor
Report problem, sensitivity is improved by using multi-sensor fusion technology, also improves rate of false alarm, if setting threshold value low, very
Many danger also can't detect.And the integration of the detection data of multiple sensors, and provide after being analyzed by certain algorithm
Warning message, will greatly improve detection level.
By multi-sensor fusion technology and body-sensing net simultaneously applied in terms of family endowment, for guard the health of old man with
And life is a new problem.
The content of the invention
Technical problem to be solved in the utility model is：A kind of family endowment system based on body-sensing net is provided and is used as prison
The information system of house old man's safety and health is surveyed, individuation difference for solving single-sensor erroneous judgement and different people etc.
Technical problem.
Family endowment system based on body-sensing net, including house body-sensing net, server and smart mobile phone, the house body-sensing
Net includes house sensor and house wireless network；The house sensor includes infrared sensor, entrance guard sensor, promptly pressed
Button, IP cameras and healthy watch；The house wireless network includes central controller and wireless router；The healthy watch
Be internally provided with three dimension acceleration sensor, heart rate sensor, timer, memory, emergency call apparatus, architecture dress
Put and GPS positioning device, healthy watch is connected by GPRS with internet；The central controller by ZigBee respectively with it is red
Outer sensor, entrance guard sensor and danger button connection；The wireless router by Wifi respectively with IP cameras, health
Watch and central controller connection, wireless router are connected by broadband with internet；The server is connected with internet；
The smart mobile phone is connected by TD-LTE with server.
The quantity of the IP cameras is more than four.
By above-mentioned design, the utility model can bring following beneficial effect：
The utility model creates a body-sensing network environment in the family, and healthy watch is worn by multiple sensors analysis
Old man a kind of state, the occurrence of greatly reducing false alarm, it is possible to according to individual carry out alarm threshold value amendment,
The wrong report technical limitses of single sensor are overcome, a kind of health, security informationization monitoring system are provided for the old man of house life
System；Set up the long distance monitoring informatization platform of children, for children provide monitoring aged health, monitoring household safe and with it is old
The platform that people links up.
Health monitoring is realized by the healthy watch of old man institute band.GPS location is carried in healthy watch, a key is called,
Wireless communication, detection motion state, sleep state, heart rate function.Can be by GPRS network the position data detected, strong
Health data transfer is to server.Server is by TD-LTD network deliveries to smart mobile phone.By being embedded on smart mobile phone
APP programs show corresponding Monitoring Data.
Brief description of the drawings
The utility model is further described below in conjunction with the drawings and specific embodiments：
Fig. 1 is the structured flowchart of family endowment system of the utility model based on body-sensing net.
1- houses body-sensing net, 2- servers, 3- smart mobile phones, 4- houses sensor, 5- houses wireless network, 6- are red in figure
Outer sensor, 7- entrance guard sensors, 8- danger buttons, 9-IP cameras, 10- healthy watch, 11- central controllers, 12- is wireless
Router.
Embodiment
As illustrated, the family endowment system based on body-sensing net, including house body-sensing net 1, server 2 and smart mobile phone 3,
The house body-sensing net 1 includes house sensor 4 and house wireless network 5；The house sensor 4 include infrared sensor 6,
Entrance guard sensor 7, danger button 8, IP cameras 9 and healthy watch 10；The house wireless network 5 includes central controller 11
With wireless router 12, wireless network includes tri- kinds of latticed forms of ZigBee, Wifi and GPRS；The inside of the healthy watch 10
Be provided with three dimension acceleration sensor, heart rate sensor, timer, memory, emergency call apparatus, architecture device and
GPS positioning device, healthy watch 10 is connected by GPRS with internet；The central controller 11 by ZigBee respectively with it is red
Outer sensor 6, entrance guard sensor 7 and danger button 8 are connected；The wireless router 12 by Wifi respectively with IP cameras
9th, healthy watch 10 and central controller 11 are connected, and wireless router 12 is connected by broadband with internet；The server 2
It is connected with internet；The smart mobile phone 3 is connected by TD-LTE with server 2.
The quantity of the IP cameras 9 is more than four.
The control method of family endowment system based on body-sensing net, utilizes the family endowment system based on body-sensing net
System, comprises the following steps, and following steps are sequentially carried out,
Step 1: the log-on message of old man, the log-on message of children, the log-on message of sensor, sensor authority are divided
With information, home location information and room distributed intelligence typing central controller 11；
In the healthy watch 10 of app ends application setting of smart mobile phone 3 by being communicated to connect with healthy watch 10
Model parameter, alarm threshold value；
The model parameter includes daily requirement motion step number, body weight, sex, age, health status and watch are worn in person
Wear custom, the health status is divided into, in, poor three kinds, the watch wears custom and is divided into left hand and wears wears two with the right hand
Kind；The alarm threshold value includes the length of one's sleep, the daily accumulative length of one's sleep, daily minimum amount of exercise, daily highest movement at the latest
Amount, per hour highest movement amount, exercise heart rate peak, static heart rate minimum, static heart rate peak, time highest of sitting quietly
Limit value and the daily routines band of position；
Elders wear health watch 10, to " seat " on healthy watch 10, " walking ", " race " three kinds of states are configured, and
The largest motion acceleration that storage old man sits, walked, running in the provisioning process；
Introduction initialization and initialization of going out are carried out in central controller 11；
Step 2: by the time of fire alarming of entrance guard sensor 7 and infrared sensor 6 order judge old man be indoor sport also
It is outdoor sport,
The time of fire alarming of entrance guard sensor 7 is determined as old man's outdoor sport earlier than the time of fire alarming of infrared sensor 6, is good for
GPS positioning device and three dimension acceleration sensor in health watch 10 position three in the position of old man, healthy watch 10
Tie up the motion step number and move distance of acceleration transducer detection old man, the outdoor sport time of timer record old man；
The time of fire alarming of entrance guard sensor 7 is later than the time of fire alarming of infrared sensor 6, is determined as old man's indoor sport, is good for
Architecture device and three dimension acceleration sensor in health watch 10 position the place room and position of old man；
Step 3: the three dimension acceleration sensor in healthy watch 10 detects motion step number, move distance and the fortune of old man
Momentum, the run duration of timer record old man, the time of sitting quietly, at the latest the length of one's sleep and daily add up the length of one's sleep, heart rate pass
Sensor detects the heart rate of old man, forms the health data collection of old man, in the memory being saved in healthy watch 10 and transmit to
Central controller 11；
Step 4: central controller 11 using asperity data collection sorting algorithm method to health data collection carry out statistics and
Calculate, obtain average value, peak, minimum, centrifugal pump, irrelevance and the standard deviation of three-dimensional acceleration data, heart rate data
Average value, peak, minimum, centrifugal pump, irrelevance and standard deviation, position data average value, peak, minimum, from
Dissipate value, irrelevance and standard deviation, average value, peak, minimum, centrifugal pump, irrelevance and the standard deviation of time data and
Degree of association information between three-dimensional acceleration data, heart rate data, position data and time data, forms healthy primary data
Collection,
Length of one's sleep at the latest that healthy primary data is concentrated, add up the length of one's sleep, daily minimum amount of exercise, daily most daily
High amount of exercise, per hour highest movement amount, exercise heart rate peak, static heart rate minimum, static heart rate peak, when sitting quietly
Between highest limit value, the daily routines band of position exceed alarm threshold value, send the alarm signal of " activity exceed early warning range ", and will
Alarm signal is passed to server 2 by the alarm signal by GPRS；
Sit, walk, run Step 5: the acceleration of motion of three dimension acceleration sensor detection is more than the old man stored in step one
X times of largest motion acceleration when, wherein X is more than 1, tentatively judges old man for tumble state,
Old man judges Falls Among Old People in toilet, kitchen or bedroom, and healthy watch 10 alarms Falls Among Old People by GPRS
Signal passes to server 2,
Old man then carries out step 6 in parlor and further determines that whether old man falls；
Step 6: indoor room roof truss is provided with IP cameras 9, the tumble status image of the detection old man of IP cameras 9 is simultaneously
Transmit to central controller 11, central controller 11 extracts the characteristic vector of image and storage, by the feature of the image of extraction to
Amount is contrasted with the tumble posture feature vector in ATL, and the healthy watch 10 of the two matching is by GPRS Falls Among Old People alarm signal
Number server 2 is passed to, the two mismatch stores the characteristic vector of the image of extraction into central controller 11；
Step 7: healthy watch 10 is good for the health data collection and watch that are formed in step 3 by GPRS communication devices
Kang Chujishuojuji passes to server 2；
Step 8: server 2 is initialized using asperity data collection sorting algorithm to receiving health data collection, watch health
Data set enters the model parameter value of line data set training, the deviation for obtaining alarm threshold value and the old man for wearing healthy watch 10；
Step 9: server 2 adopts the model parameter value of the deviation of alarm threshold value and the old man for wearing healthy watch 10
Healthy watch 10 is passed to GPRS communication modes；
Step 10: deviation and model parameter value of the healthy watch 10 according to the alarm threshold value being connected to, the healthy watch of modification
The alarm threshold value of memory in 10；
Step 11: server 2 passes to amended alarm signal by TD-LTE communication modes the intelligence of children
Mobile phone 3, while the alarm signal is passed to staff by server 2；
Step 12: children are verified this warning message according to the alarm condition of smart mobile phone 3, this alarm signal
Breath is false alarm, and false alarm operation is sent on smart mobile phone 3；This warning message is effective alarm, in smart mobile phone 3
Upper transmission receives this alarm operation；
Step 13: this alarm operation is passed to clothes by the smart mobile phone 3 of children by TD-LTE communication modes automatically
Business device, server 2 is filled up to this alarm operation in this warning message, and further by asperity data collection sorting algorithm
Alarm threshold value is trained, alarm threshold value is further corrected；
Step 14: old man is by the SOS key manual alarms on healthy watch 10, healthy watch 10 is by GPRS alarm
Signal passes to server 2.
To " seat " in the step one, " walking ", the specific method that " race " three kinds of states are set is：Clicked on healthy watch 10
Occur " seat " printed words on Activity recognition, the screen of healthy watch 10, old man carries out the action of " seat ", and screen display " is walked ", seat
Action is provided with, and old man carries out the action of " walking ", and screen display " race ", the action walked is provided with, and it is dynamic that old man is run
Make, " setting completed " occurs in screen, " seat ", " walking ", " race " three kinds of states are provided with.
Got started in the step one initialization method be in healthy watch 10 selection introduction initialization, pass through healthy wrist
The time of GPS positioning device detection geographical coordinate and detection geographical coordinate in table 10, infrared sensor 6 sends infrared alarm letter
Number, entrance guard sensor 7 sends gate inhibition's alarm signal, and system detectio provides time, infrared detector to gate inhibition's alarm signal
Alarm signal provide the time, after three data of time of GPS detection geographical coordinates, central controller 11 terminates introduction just automatically
Beginningization, and by house body-sensing net, sensor type, the order of three time and interval are passed to 2 in server, complete into
Door initial work.
The method of initialization of being gone out in the step one is that selection is gone out initialization in healthy watch 10, passes through healthy wrist
The time of GPS positioning device detection geographical coordinate and detection geographical coordinate in table 10, infrared sensor 6 sends infrared alarm letter
Number, entrance guard sensor 7 sends gate inhibition's alarm signal, and system detectio provides time, infrared detector to gate inhibition's alarm signal
Alarm signal provide the time, after three data of time of GPS detection geographical coordinates, central controller 11 terminates to go out just automatically
Beginningization, and by house body-sensing net, sensor type, the order of three time and interval are passed to 2 in server, are completed out
Door initial work.
Central controller 11 extracts the method for the characteristic vector of image to carry by gauss hybrid models in the step 5
Take the moving region in the tumble image of people, using it is morphologic operation image is expanded, burn into open and close computing, adopt
The skeleton pattern of the moving region gone out with sobel operators and canny operator extractions in image of falling, obtain profile girth, area,
Characteristic vector of the multi-features of area ratio and Fourier's characteristic vector pickup into image.
The rough data set classification analytic approach is to use asperity data collection classificating thought, using thick under MapRecuce frameworks
Rough association rule algorithm --- L-Aprior algorithms, frequency, support and confidence level association process are carried out to health data collection,
So as to obtain the data threshold under alarm condition, for correcting former alarm threshold value.
Using the method for the rough data set classification analytic approach amendment tumble alarm threshold value, it is comprised the following steps that, and
Following steps are sequentially carried out,
1., for tumble alarm condition hereinafter referred to as alarm condition, according to support, the angle of the artificial non-alarm condition is
The normal angle of behavior, hereinafter referred to as normal angled, analyze health data collection and healthy primary data collection, form " normal
Data set ".Such as someone millimetres of mercury of blood pressure high pressure 140, although higher than the millimetres of mercury of normal value 120, but people's high pressure
All the time 140 or so, without any adverse reaction, it is believed that normal condition.
2., alarm condition respectively mentioned by step one, according to the angle of the possible data of " the artificial alarm condition "
Degree is the angle of abnormal behavior, and hereinafter referred to as abnormal angle is analyzed health data collection and healthy primary data collection, is formed " different
Normal data set ".Such as someone millimetres of mercury of blood pressure high pressure 120, but it has been the limit of standard, the people is likely to occur not
Good reaction, it is believed that abnormal state.
3. " normal data set " and " abnormal data set ", is carried out booleanization processing, two alienation data sets are obtained.
4. the two alienation data sets with same time, locus, are carried out merger, and carried out according to support with opposing
Classification, so as to find the frequent item set of alert correlation.Alarm of for example falling is relevant with acceleration transducer and camera, with GPS
Position is unrelated.
5. support and confidence level, are calculated using L-Aprior functions.
6., the frequent item set 4. obtained according to step sets acceleration, heart rate, GPS location, time, the camera of alarm
Etc. associated sensor.
7. the support and confidence level, 5. obtained according to step sets the factor of influence of each sensor.
8., calculate and obtain the alarming value B for alarm of falling
B=Σ detected value * confidence levels * supports/threshold value/Σ supports
Wherein, Σ sums to all related sensor numerical value.
It is to think alarm state that B, which is more than 80%, in formula.
9., it is compared with the actually detected data in the result and database of calculating, if it find that the numerical value calculated
It is alarm condition and is actually not this alarm, changes the threshold value up-regulation 1% of all this alarms, recalculate, until meeting
Untill the condition., whereas if finding the numerical value calculated not to be alarm condition and this alarm actually occur, all be somebody's turn to do is changed
The threshold value of item alarm lowers 1%, recalculates, untill the condition is met.If met, without threshold modifying.
It can similarly be reported according to above-mentioned similar approach with the excessive alarm of correction motion amount, the alarm of amount of exercise deficiency, sleep insufficiency
The alarm threshold values such as alert, sitting alarm.
Family endowment system based on body-sensing net, passes through health and fitness information of the house body-sensing net 1 old man, home safety information
It is delivered to server 2.Smart mobile phone 3 is connected by TD-LTE with server 2, extracts the data of various sensors, monitoring is at home
Safety and health state.
Described family endowment system includes information registering in old man's information registering, children, kinsfolk's management, sensor
Registration, sensor authority distribution, alarm condition setting, position enquiring, realtime graphic inquiry, history image inquiry, network talkback
Etc. function.By wireless house body-sensing net, the data transfer of every sensor sensing to server 2, every sensing
The data of device sensing include sensor log-on message, gate inhibition's warning message, infrared alarm information, video information, health monitoring letter
Breath etc., server 2 passes to corresponding smart mobile phone 3 according to priority assignation, and smart phone user according to circumstances assigns every control
System instruction, each terminal device is passed to by server 2 and house body-sensing net 1, the prison for completing health and home safety
The function such as control and management.
Described health monitoring is realized by the healthy watch 10 of old man institute band.GPS location is carried in healthy watch 10,
One key is called, wireless communication, detection motion state, sleep state, heart rate function.Can be by GPRS network the position detected
Put data, health data and pass to server 2.Server 2 is by TD-LTD network deliveries to smart mobile phone 3.By being embedded in
APP programs on smart mobile phone 3 show corresponding Monitoring Data.
Claims (2)
1. the family endowment system based on body-sensing net, it is characterized in that：Including house body-sensing net (1), server (2) and smart mobile phone
(3), the house body-sensing net (1) includes house sensor (4) and house wireless network (5)；The house sensor (4) includes
Infrared sensor (6), entrance guard sensor (7), danger button (8), IP cameras (9) and healthy watch (10)；The house nothing
Gauze network (5) includes central controller (11) and wireless router (12)；The healthy watch (10) is internally provided with three-dimensional
Acceleration transducer, heart rate sensor, timer, memory, emergency call apparatus, architecture device and GPS positioning device,
Healthy watch (10) is connected by GPRS with internet；The central controller (11) by ZigBee respectively with infrared sensor
(6), entrance guard sensor (7) and danger button (8) connection；The wireless router (12) by Wifi respectively with IP cameras
(9), healthy watch (10) and central controller (11) connection, wireless router (12) are connected by broadband with internet；Institute
Server (2) is stated to be connected with internet；The smart mobile phone (3) is connected by TD-LTE with server (2).
2. the family endowment system according to claim 1 based on body-sensing net, it is characterized in that：The IP cameras (9)
Quantity is more than four.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720213441.9U CN206610413U (en) | 2017-03-07 | 2017-03-07 | Family endowment system based on body-sensing net |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201720213441.9U CN206610413U (en) | 2017-03-07 | 2017-03-07 | Family endowment system based on body-sensing net |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN206610413U true CN206610413U (en) | 2017-11-03 |
Family
ID=60165048
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201720213441.9U Expired - Fee Related CN206610413U (en) | 2017-03-07 | 2017-03-07 | Family endowment system based on body-sensing net |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN206610413U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106875629A (en) * | 2017-03-07 | 2017-06-20 | 吉林真才信息技术有限公司 | Family endowment system and its control method based on body-sensing net |
| CN111588358A (en) * | 2019-12-18 | 2020-08-28 | 利尔达科技集团股份有限公司 | Intelligent old age care management system and application method |
| CN112540235A (en) * | 2019-09-20 | 2021-03-23 | 中国石油化工股份有限公司 | Method and system for correcting lightning early warning threshold value and early warning evaluation method and system |
-
2017
- 2017-03-07 CN CN201720213441.9U patent/CN206610413U/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106875629A (en) * | 2017-03-07 | 2017-06-20 | 吉林真才信息技术有限公司 | Family endowment system and its control method based on body-sensing net |
| CN112540235A (en) * | 2019-09-20 | 2021-03-23 | 中国石油化工股份有限公司 | Method and system for correcting lightning early warning threshold value and early warning evaluation method and system |
| CN112540235B (en) * | 2019-09-20 | 2023-02-17 | 中国石油化工股份有限公司 | Method and system for correcting lightning early warning threshold value and early warning evaluation method and system |
| CN111588358A (en) * | 2019-12-18 | 2020-08-28 | 利尔达科技集团股份有限公司 | Intelligent old age care management system and application method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106875629A (en) | Family endowment system and its control method based on body-sensing net | |
| US10504226B2 (en) | Seizure detection | |
| CN206610413U (en) | Family endowment system based on body-sensing net | |
| CN105796112B (en) | Falls Among Old People detects monitor system | |
| EP3525673B1 (en) | Method and apparatus for determining a fall risk | |
| CN109887238B (en) | Tumble detection system and detection alarm method based on vision and artificial intelligence | |
| CN106671105A (en) | Intelligent accompanying robot for old people | |
| CN109903523A (en) | A kind of identification of emergency health situation artificial intelligence and salvage system towards endowment community | |
| CN206894796U (en) | A kind of wired home supervisory-controlled robot | |
| CN109658666A (en) | A kind of protection from hazards method, equipment, system, electronic equipment and storage medium | |
| CN105404254A (en) | Multifunctional wisdom home care service platform | |
| CN106652346A (en) | Home-based care monitoring system for old people | |
| CN105282490A (en) | Novel empty nester smart home interaction system and method | |
| CN111931733B (en) | Human body posture detection method based on depth camera | |
| CN107019500A (en) | One kind endowment monitoring method and intelligence auxiliary endowment system | |
| CN102737474A (en) | Monitoring and alarming for abnormal behavior of indoor personnel based on intelligent video | |
| CN106485877A (en) | The monitoring method of intelligence and system | |
| CN109724217A (en) | It is a kind of based on hospital data and user's physiological signal controllable health-care air-conditioner system and its control method | |
| JP2004164282A (en) | Personal behavior detection system | |
| CN110428585A (en) | A kind of old solitary people monitor system and monitoring determination method | |
| CN113114977A (en) | Intelligent nursing system and intelligent nursing method | |
| CN115813354A (en) | Intelligent health monitoring method, system and device | |
| JP2024038108A (en) | Information processing device, watching system, and control program | |
| CN207319406U (en) | Positioning falling alarm takes | |
| CN109558824B (en) | Fitness action monitoring and analyzing system based on personnel image recognition |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20180516 Address after: 130000 room 406, overseas Pioneer Park, 1357 Kumho Road, Changchun high tech Zone, Jilin Patentee after: JILIN JIARENBANG INFORMATION SERVICES CO.,LTD. Address before: No. 1568, Chaoyang District construction street, Changchun, Jilin Province Patentee before: JILIN ZHENCAI INFORMATION TECHNOLOGY Co.,Ltd. |
|
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20171103 |