CN108962375A - The physical condition detection method and intelligent closestool of duration are used based on closestool - Google Patents

The physical condition detection method and intelligent closestool of duration are used based on closestool Download PDF

Info

Publication number
CN108962375A
CN108962375A CN201810546489.0A CN201810546489A CN108962375A CN 108962375 A CN108962375 A CN 108962375A CN 201810546489 A CN201810546489 A CN 201810546489A CN 108962375 A CN108962375 A CN 108962375A
Authority
CN
China
Prior art keywords
closestool
duration
client
subjects
exception information
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.)
Pending
Application number
CN201810546489.0A
Other languages
Chinese (zh)
Inventor
杨书敏
邹复民
张阳
甘振华
郑舒翔
廖律超
胡智临
黄豪杰
陈汉林
林逢春
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fujian University of Technology
Original Assignee
Fujian University of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Fujian University of Technology filed Critical Fujian University of Technology
Priority to CN201810546489.0A priority Critical patent/CN108962375A/en
Publication of CN108962375A publication Critical patent/CN108962375A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation
    • EFIXED CONSTRUCTIONS
    • E03WATER SUPPLY; SEWERAGE
    • E03DWATER-CLOSETS OR URINALS WITH FLUSHING DEVICES; FLUSHING VALVES THEREFOR
    • E03D9/00Sanitary or other accessories for lavatories ; Devices for cleaning or disinfecting the toilet room or the toilet bowl; Devices for eliminating smells
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Epidemiology (AREA)
  • Medical Informatics (AREA)
  • Primary Health Care (AREA)
  • General Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Data Mining & Analysis (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Hydrology & Water Resources (AREA)
  • Water Supply & Treatment (AREA)
  • Alarm Systems (AREA)
  • Emergency Alarm Devices (AREA)

Abstract

The invention discloses a kind of physical condition detection method and intelligent closestool for using duration based on closestool, method includes: that record subjects use closestool when closestool to use duration every time;The closestool of subjects in predetermined period is analyzed using duration, closestool is obtained and uses duration range;When detecting closestool user is subjects, obtains and use duration;If described be not at the closestool using within the scope of duration using duration, exception information is sent to client.The animation that the long-range monitoring " Empty nest elderly " of low cost, high accuracy can be achieved in the present invention ensures the safety of old solitary people so as to make urgent measure in time.

Description

The physical condition detection method and intelligent closestool of duration are used based on closestool
Technical field
The present invention relates to intelligence endowment system regions more particularly to a kind of physical condition detections that duration is used based on closestool Method and intelligent closestool.
Background technique
With the quickening of the aging process of the society, the solution of the elderly " clothing, food, lodging and transportion -- basic necessities of life " problem becomes particularly important.It is old The decline of human physiology function proposes higher design requirement to the articles facility in life, especially shows on sanitaryware. On the one hand, old solitary people cannot notify guardian when the emergency situations such as twitch, leg cramps occur in time, and delay is most preferably rescued It helps the time, by life-threatening safety when serious;On the other hand, old solitary people is not concerned with the length for time of going to toilet, and ignores Closestool is also an index for reflecting physical condition using the time;Furthermore help to help using the time by specification closestool Old solitary people is helped to keep good living habit.
Summary of the invention
The technical problems to be solved by the present invention are: providing a kind of physical condition detection method for using duration based on closestool And intelligent closestool, it can be achieved that the physical condition of old solitary people monitoring, and it is at low cost, accuracy is high.
In order to solve the above-mentioned technical problem, a kind of the technical solution adopted by the present invention are as follows: body that duration is used based on closestool Body condition detection method, comprising:
Record subjects use closestool when closestool to use duration every time;
The closestool of subjects in predetermined period is analyzed using duration, closestool is obtained and uses duration range;
When detecting closestool user is subjects, obtains and use duration;
If described be not at the closestool using within the scope of duration using duration, exception information is sent to client.
The invention further relates to a kind of intelligent closestool, including processor and memory, the memory is stored with program, and It is configured to execute step as described above by the processor.
The beneficial effects of the present invention are: by detecting and collecting old solitary people using closestool duration, analyzes and learn it Rule obtains the use duration threshold value under the normal condition of old man's health, thus monitor abnormal conditions and judge, then It is transferred to Terminal Server Client prompt by information, to realize the body of the long-range monitoring " Empty nest elderly " of low cost, high accuracy Situation grasps the security situation of old man, so as to make urgent measure in time, ensures the life security of old solitary people.
Detailed description of the invention
Fig. 1 is a kind of flow chart based on closestool using the physical condition detection method of duration of the present invention;
Fig. 2 is the method flow diagram one of the embodiment of the present invention one;
Fig. 3 is the method flow diagram two of the embodiment of the present invention one.
Specific embodiment
To explain the technical content, the achieved purpose and the effect of the present invention in detail, below in conjunction with embodiment and cooperate attached Figure is explained in detail.
The most critical design of the present invention is: analysis, which obtains the closestool under normal healthy state, uses duration threshold value, and root According to the duration threshold monitor abnormal conditions.
Referring to Fig. 1, a kind of physical condition detection method for using duration based on closestool, comprising:
Record subjects use closestool when closestool to use duration every time;
The closestool of subjects in predetermined period is analyzed using duration, closestool is obtained and uses duration range;
When detecting closestool user is subjects, obtains and use duration;
If described be not at the closestool using within the scope of duration using duration, exception information is sent to client.
As can be seen from the above description, the beneficial effects of the present invention are: can low cost, highly accurately realize old solitary people The monitoring of animation.
Further, detect that the step of whether closestool user is subjects includes:
The identity identification information of typing subjects;
When closestool is by use, obtain the identity identification information of closestool user by identification device;
If acquired identity identification information is consistent with the identity identification information of subjects, determine that closestool user is Subjects.
Seen from the above description, by carry out identification, guarantee collected data it is corresponding be subjects, thus Improve the accuracy of subsequent data analysis.
Further, the closestool that obtains further comprises using after duration range:
The closestool is saved using duration range, and is sent to client.
Seen from the above description, ordinary duration range is learnt convenient for client.
Further, it if described be not at the closestool using within the scope of duration using duration, is sent out to client Send exception information specifically:
Judge whether the use duration is lower than the closestool and uses duration range;
If being lower than, the closestool exception information too short using duration is sent to client;
If being not less than, judge whether the use duration is more than that the closestool uses duration range;
If being more than, the closestool exception information too long using duration is sent to client.
Seen from the above description, closestool is not at using duration when closestool using within the scope of duration, then notifies client report Accuse exception information.
Further, if described be lower than, the closestool exception information too short using duration is sent to client specifically:
If being lower than, closestool is added one using the too short number of duration;
Judge whether the closestool using the too short number of duration is more than preset frequency threshold value;
If so, sending the closestool exception information too short using duration to client.
Seen from the above description, the situation that filtering uses duration too short individually, improves the accuracy of exception reporting.
Further, if described be more than, the closestool exception information too long using duration is sent to client specifically:
If being more than, start overtime alarm device;
If the overtime alarm device is not cancelled in preset time after starting, closestool is sent to client and uses duration Too long exception information.
Seen from the above description, by the way that overtime alarm device is arranged, it can first remind subjects using overlong time, avoid (such as subjects cause closestool to use to the case where but sending unexpected message due to non-abnormal conditions due to seeing the mobile phone or reading newspaper Overlong time), to improve the accuracy of exception reporting.
Further, after the transmission exception information to client, further comprise:
Whether confirmation client receives exception information;
If not receiving, client is dialed into, and prompt exception information.
Seen from the above description, monitoring result is notified to client, so that guardian learns monitoring situation in time.
The invention further relates to a kind of intelligent closestool, including processor and memory, the memory is stored with program, and It is configured to execute step as described above by the processor.
Embodiment one
Referring to figure 2. -3, a kind of the embodiment of the present invention one are as follows: physical condition detection side that the time is used based on closestool Method can be applied to the physical condition detection to old solitary people.
In the present embodiment, it is equipped with identification device on the flushometer of closestool, identification is used for, for example, in closestool Fingerprint identification device is installed on flush button.It is equipped with pressure sensor in toilet seat, is under pressure by acquisition toilet seat Time, record use the duration of closestool.
This method mainly includes two parts.First part is to acquire it under old solitary people health status to use horse every time The duration of bucket, and analyze and obtain normal closestool using duration range, as shown in Fig. 2, including the following steps:
S101: pass through the identity information of identification device typing subjects;It is i.e. monitored by fingerprint identification device typing The fingerprint of person.
S102: duration is used in use, recording and working as the secondary closestool used when detecting closestool quilt;Specifically, work as toilet seat On pressure sensor when detecting pressure, then it represents that closestool is used, and record is this time continually subjected to the time of pressure, as this The secondary use duration using closestool.
S103: judging whether closestool user is subjects, if so, S104 is thened follow the steps, if it is not, then ignoring this Data.Specifically, when having used closestool to press flush button, it can acquire closestool user's by fingerprint identification device Fingerprint, if the fingerprint that closestool uses is consistent with the fingerprint of subjects, then it is assumed that be that subjects are using closestool.
S104: it obtains this closestool and uses duration;Save that subjects use closestool every time uses duration.
S105: analyzing the closestool of subjects in predetermined period using duration, obtains closestool and uses duration range. The predetermined period is the certain time period of the normal condition of subjects health, is supervised in one week for example, can acquire Survey person uses the closestool of closestool to use duration every time, then analyzes these time data, obtains a duration range.And For how according to multiple data to obtain a numberical range, a variety of methods can be used, for example, can be directly by multiple data In two endpoints as numberical range of minimum value and maximum value, several minimum values can also be taken respectively and several are maximum Two endpoints that value is averaged as numberical range, naturally it is also possible to be learnt using neural network.
S106: the closestool is saved using duration range, and is sent to Terminal Server Client.The client is to be associated with closestool Client, for example, can be old solitary people children mobile phone etc..There are two types of the modes for sending data, and one is pass through family WiFi network the data information of compression is sent to client, another kind is by installing SIM card additional in intelligent closestool for data Information Compression is sent to client, and can auto dialing connection client.
Second part is that the closestool obtained according to first part uses duration range, uses closestool duration to old solitary people Monitoring, as shown in figure 3, including the following steps:
S201: judge whether closestool user is subjects, that is, judge the identity identification information and quilt of closestool user The identity identification information of human observer is consistent, if so, thening follow the steps S202.
S202: it obtains when the secondary use duration using closestool, that is to say, that each closestool is by use, all can be according to horse The time that pressure sensor in bucket seat is under pressure records each use duration, if this time being supervised using the artificial of closestool Survey person then obtains this use duration, if not subjects, then ignores the secondary data.
S203: judging whether the use duration is lower than the closestool using duration range, that is, assumes that this closestool makes Used time a length of t, the closestool that step S105 is obtained are [T using duration range1, T2], then judge whether t is less than, T1, if so, holding Row step S204, if it is not, thening follow the steps S207.
S204: closestool is added one using the too short number of duration;Closestool is 0 using the initial value of the too short number of duration.
S205: judge whether closestool using the too short number of duration is more than preset frequency threshold value, if so, thening follow the steps S206, if it is not, the closestool for then continuing to monitor subjects next time uses duration, i.e. execution step S201.Preferably, described pre- If frequency threshold value be 1, that is to say, that when closestool is reached twice using the too short number of duration, then follow the steps S206.
S206: the closestool exception information too short using duration is sent to client.
S207: judge whether the use duration is more than the closestool using duration range, that is, judges whether t is greater than T2, If so, thening follow the steps S208, if not, then it represents that this closestool is in normal closestool using duration and uses duration range, The closestool for continuing to monitor subjects next time uses duration, i.e. execution step S201.
S208: start overtime alarm device.
S209: judge whether be cancelled in the preset time of overtime alarm device after actuation, if so, thening follow the steps S210, if it is not, thening follow the steps S211.Preferably, the preset time is 10 seconds.
S210: stopping overtime alarm device, the closestool for then proceeding to monitor subjects next time is executed using duration Step S201.
S211: the closestool exception information too long using duration is sent to client.
Further, after step S206 and step S211, further includes: whether confirmation client receives abnormal letter Breath;If not receiving, dialing into client, and prompt exception information, i.e. the holder of prompt client handles exception information, Such as phone, mode of making house calls carry out the answer of Message Processing by client after having handled.
Further, after client answer, the closestool for continuing to monitor subjects next time is executed using duration Step S201.
The present embodiment uses closestool duration by detecting and collecting old solitary people every time, analyzes and learns its rule, obtain Use duration threshold value under the normal condition of old man's health, to monitor abnormal conditions and judge, then passes through information It is transferred to Terminal Server Client prompt, to realize the physical condition of the long-range monitoring " Empty nest elderly " of low cost, high accuracy, is grasped The security situation of old man ensures the life security of old solitary people so as to make urgent measure in time.
Embodiment two
The present embodiment is a concrete application scene of above-described embodiment.
Certain village's old solitary people magnifies married woman's parents' home's intelligent closestool after increasing method described in above-described embodiment, is existed by toilet seat When being under pressure, automatically begins to calculate the time for using closestool, be learnt every time using the time of closestool daily to ma is magnified Analysis, summarizing and obtaining magnifying the normal time threshold for using closestool every time under ma's health states is [T1, T2], it saves as Reference standard is simultaneously sent to Terminal Server Client.
When detecting certain using duration tiLess than T1Minute, and closestool using the too short number of duration less than 2 times when, then Think that magnifying ma's physical condition still belongs to healthy range, system does not send a message to Terminal Server Client, continues to monitor.
When detecting certain using duration tiLess than T1Minute, and closestool is reached 2 times or more using the too short number of duration When, send to client using closestool time too short exception information, client after receiving message, will in time by phone or The modes such as make house calls are handled, and reply processing result on the client.
When detecting certain using duration tiIn normal time threshold value [T1, T2] in, ma's physical condition health is magnified in expression, System does not send a message to Terminal Server Client, into monitoring next time.
When detecting closestool using duration tiGreater than T2When minute, warning device is touched, if magnifying ma closes alarm dress It sets, stops alarm and do not make other reactions;If alarm is continued above 10 seconds, time-out is sent to client immediately and uses horse The exception information of bucket, client will be handled by phone or the modes such as make house calls in time, and reply processing knot on the client Fruit.
Embodiment three
The present embodiment is a kind of intelligent closestool of corresponding above-described embodiment, including processor and memory, further includes communication Module, the communication module can be SIM card module, and the flushometer of the intelligent closestool is equipped with identification device, the intelligence The toilet seat of closestool is equipped with pressure sensor, and the memory is stored with program, and is configured to be held by the processor Row following steps:
Record subjects use closestool when closestool to use duration every time;
The closestool of subjects in predetermined period is analyzed using duration, closestool is obtained and uses duration range;
When detecting closestool user is subjects, obtains and use duration;
If described be not at the closestool using within the scope of duration using duration, exception information is sent to client.
Further, detect that the step of whether closestool user is subjects includes:
The identity identification information of typing subjects;
When closestool is by use, obtain the identity identification information of closestool user by identification device;
If acquired identity identification information is consistent with the identity identification information of subjects, determine that closestool user is Subjects.
Further, it if described be not at the closestool using within the scope of duration using duration, is sent out to client Send exception information specifically:
Judge whether the use duration is lower than the closestool and uses duration range;
If being lower than, the closestool exception information too short using duration is sent to client;
If being not less than, judge whether the use duration is more than that the closestool uses duration range;
If being more than, the closestool exception information too long using duration is sent to client.
Further, if described be lower than, the closestool exception information too short using duration is sent to client specifically:
If being lower than, closestool is added one using the too short number of duration;
Judge whether the closestool using the too short number of duration is more than preset frequency threshold value;
If so, sending the closestool exception information too short using duration to client.
Further, if described be more than, the closestool exception information too long using duration is sent to client specifically:
If being more than, start overtime alarm device;
If the overtime alarm device is not cancelled in preset time after starting, closestool is sent to client and uses duration Too long exception information.
Further, after the transmission exception information to client, further comprise:
Whether confirmation client receives exception information;
If not receiving, client is dialed into, and prompt exception information.
Further, the closestool that obtains further comprises using after duration range:
The closestool is saved using duration range, and is sent to client.
In conclusion a kind of physical condition detection method and intelligence horse for using duration based on closestool provided by the invention Bucket is analyzed and is learnt its rule by detecting and collecting old solitary people using closestool duration, obtain the normal of old man's health Use duration threshold value under state, to monitor abnormal conditions and judge, then is transferred to Terminal Server Client by information and mentions Show, to realize the physical condition of the long-range monitoring " Empty nest elderly " of low cost, high accuracy, grasps the security situation of old man, from And urgent measure can be made in time, ensure the life security of old solitary people.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair Equivalents made by bright specification and accompanying drawing content are applied directly or indirectly in relevant technical field, similarly include In scope of patent protection of the invention.

Claims (8)

1. a kind of physical condition detection method for using duration based on closestool characterized by comprising
Record subjects use closestool when closestool to use duration every time;
The closestool of subjects in predetermined period is analyzed using duration, closestool is obtained and uses duration range;
When detecting closestool user is subjects, obtains and use duration;
If described be not at the closestool using within the scope of duration using duration, exception information is sent to client.
2. the physical condition detection method according to claim 1 for using duration based on closestool, which is characterized in that detection horse Bucket user the step of whether being subjects includes:
The identity identification information of typing subjects;
When closestool is by use, obtain the identity identification information of closestool user by identification device;
If acquired identity identification information is consistent with the identity identification information of subjects, closestool user is determined to be supervised Survey person.
3. the physical condition detection method according to claim 1 for using duration based on closestool, which is characterized in that described To closestool using after duration range, further comprise:
The closestool is saved using duration range, and is sent to client.
4. the physical condition detection method according to claim 1 for using duration based on closestool, which is characterized in that if described It is described to be not at the closestool using within the scope of duration using duration, then exception information is sent to client specifically:
Judge whether the use duration is lower than the closestool and uses duration range;
If being lower than, the closestool exception information too short using duration is sent to client;
If being not less than, judge whether the use duration is more than that the closestool uses duration range;
If being more than, the closestool exception information too long using duration is sent to client.
5. the physical condition detection method according to claim 4 for using duration based on closestool, which is characterized in that if described It is lower than, then sends the closestool exception information too short using duration to client specifically:
If being lower than, closestool is added one using the too short number of duration;
Judge whether the closestool using the too short number of duration is more than preset frequency threshold value;
If so, sending the closestool exception information too short using duration to client.
6. the physical condition detection method according to claim 4 for using duration based on closestool, which is characterized in that if described It is more than then to send the closestool exception information too long using duration to client specifically:
If being more than, start overtime alarm device;
If the overtime alarm device is not cancelled in preset time after starting, it is too long using duration that closestool is sent to client Exception information.
7. it is according to claim 1 based on closestool use duration physical condition detection method, which is characterized in that it is described to After client sends exception information, further comprise:
Whether confirmation client receives exception information;
If not receiving, client is dialed into, and prompt exception information.
8. a kind of intelligent closestool, including processor and memory, which is characterized in that the memory is stored with program, and by It is configured to execute such as the described in any item steps of claim 1-7 by the processor.
CN201810546489.0A 2018-05-31 2018-05-31 The physical condition detection method and intelligent closestool of duration are used based on closestool Pending CN108962375A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810546489.0A CN108962375A (en) 2018-05-31 2018-05-31 The physical condition detection method and intelligent closestool of duration are used based on closestool

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810546489.0A CN108962375A (en) 2018-05-31 2018-05-31 The physical condition detection method and intelligent closestool of duration are used based on closestool

Publications (1)

Publication Number Publication Date
CN108962375A true CN108962375A (en) 2018-12-07

Family

ID=64492386

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810546489.0A Pending CN108962375A (en) 2018-05-31 2018-05-31 The physical condition detection method and intelligent closestool of duration are used based on closestool

Country Status (1)

Country Link
CN (1) CN108962375A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109407540A (en) * 2018-12-29 2019-03-01 亿嘉久康(北京)健康科技有限公司 A kind of family endowment management system
CN111820881A (en) * 2020-07-22 2020-10-27 苏州皇宫绣量子科技有限公司 System for monitoring personnel safety of washroom and control method thereof

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106991787A (en) * 2017-06-07 2017-07-28 京东方科技集团股份有限公司 Intelligent closestool and the safety monitoring system based on intelligent closestool

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106991787A (en) * 2017-06-07 2017-07-28 京东方科技集团股份有限公司 Intelligent closestool and the safety monitoring system based on intelligent closestool

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109407540A (en) * 2018-12-29 2019-03-01 亿嘉久康(北京)健康科技有限公司 A kind of family endowment management system
CN111820881A (en) * 2020-07-22 2020-10-27 苏州皇宫绣量子科技有限公司 System for monitoring personnel safety of washroom and control method thereof

Similar Documents

Publication Publication Date Title
CN110914918B (en) System and method for health monitoring and providing emergency support
AU2009286390B2 (en) Fall detection and/or prevention systems
CN204797803U (en) Healthy safety monitoring system based on artificial intelligence technique
Storf et al. Rule-based activity recognition framework: Challenges, technique and learning
CN111080860A (en) Intelligent lock, control method, readable storage medium, server side and system
CN102044131B (en) Alarm signal processing method and human body position information-based alarm method
CN102982652A (en) Realizing method and system for on-demand monitoring for elder nursing
CN1322477C (en) Household security device for lonely living edged people
CN108614989A (en) A kind of old man's intelligent monitor method, system and medium based on WiFi
CN108962375A (en) The physical condition detection method and intelligent closestool of duration are used based on closestool
CN106919892B (en) Behavior monitoring method and device
CN108028007B (en) Personal emergency response system help button wear compliance
CN116168702A (en) Intelligent gas meter with self-learning function and working method
JP6145907B1 (en) Life monitoring device
CN111522494A (en) Intelligent toilet safety control method and system
CN111052708B (en) Identifying abnormal use of an electronic device
CN110123338A (en) Intelligent fetal activity monitoring system
CN204260739U (en) Electrocardiographic quality of data real-time control system
CN105759975B (en) A kind of Intelligent bracelet loses reminding method and device
CN108961129A (en) Animation detection method and storage medium based on water meter water
CN116152703A (en) Sleeping gesture recognition method, module, equipment and computer readable medium
US8593285B2 (en) Safety-determination information generating apparatus and safety confirmation system
CN114974544A (en) Call grade analysis method and device based on health monitoring data
CN108918170A (en) Animation detection method and intelligent closestool based on closestool access times
CN113936424A (en) Method for monitoring human body behaviors and actively giving alarm, water heater and server

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20181207