CN113793478A - Microwave induction toilet tumble alarm system - Google Patents

Microwave induction toilet tumble alarm system Download PDF

Info

Publication number
CN113793478A
CN113793478A CN202111184375.4A CN202111184375A CN113793478A CN 113793478 A CN113793478 A CN 113793478A CN 202111184375 A CN202111184375 A CN 202111184375A CN 113793478 A CN113793478 A CN 113793478A
Authority
CN
China
Prior art keywords
data acquisition
platform
alarm system
toilet
tumble
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
CN202111184375.4A
Other languages
Chinese (zh)
Inventor
苏志坚
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.)
Xiamen World Linking Technology Co ltd
Original Assignee
Xiamen World Linking Technology Co ltd
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 Xiamen World Linking Technology Co ltd filed Critical Xiamen World Linking Technology Co ltd
Priority to CN202111184375.4A priority Critical patent/CN113793478A/en
Publication of CN113793478A publication Critical patent/CN113793478A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/04Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
    • G08B21/0407Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
    • G08B21/043Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting an emergency event, e.g. a fall

Landscapes

  • Health & Medical Sciences (AREA)
  • Psychiatry (AREA)
  • Psychology (AREA)
  • Social Psychology (AREA)
  • General Health & Medical Sciences (AREA)
  • Gerontology & Geriatric Medicine (AREA)
  • Business, Economics & Management (AREA)
  • Emergency Management (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Emergency Alarm Devices (AREA)
  • Alarm Systems (AREA)

Abstract

The invention discloses a microwave induction toilet falling alarm system, which comprises: the system comprises a data acquisition terminal, a control calculation platform, a hospital management platform and a nurse station calling platform; the data acquisition terminal is arranged in a toilet and is connected with the control computing platform through a gateway; the control computing platform is used for judging whether the object falls down according to the information of the data acquisition terminal, and if the object falls down, an alarm is sent to the hospital management platform and the nurse station calling platform. The invention relates to the technical field of behavior recognition, and in the microwave induction toilet tumble alarm system, a data acquisition terminal adopts a microwave radar, so that the privacy of individuals is greatly protected, a training sample is constructed, a classifier is used for accurately judging the current behavior, if a tumble behavior occurs, an alarm can be given in time through a hospital management platform and a nurse station calling platform, and the first time after the tumble can be ensured to be found.

Description

Microwave induction toilet tumble alarm system
Technical Field
The invention relates to the technical field of behavior recognition, in particular to a microwave induction toilet tumble alarm system.
Background
The falling is sudden, involuntary and unintentional posture change, falls on the ground or a lower plane, and brings great danger to the weak people such as the old and the like. The body of a patient in a hospital is worse than that of a regular person, the behavior and the action are inconvenient, especially, the patient can fall down more easily in a narrow space of a toilet, and if the patient cannot find the patient in time after falling down, more serious problems can occur.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides a microwave induction toilet falling alarm system, which solves the problem that the existing hospital toilet can not be found in time after falling down, and protects the personal privacy.
(II) technical scheme
In order to achieve the purpose, the invention is realized by the following technical scheme: a microwave-induced toilet fall alarm system, comprising:
the system comprises a data acquisition terminal, a control calculation platform, a hospital management platform and a nurse station calling platform;
the data acquisition terminal is arranged in a toilet and is connected with the control computing platform through a gateway;
the data acquisition terminal adopts a microwave radar and is used for periodically sending microwave signals to the space, receiving reflected signals reflected by the space, acquiring radar reflection points and acquiring the position of a user;
the control computing platform is used for judging whether the object falls down according to the information of the data acquisition terminal, and if the object falls down, an alarm is sent to the hospital management platform and the nurse station calling platform.
Preferably, the algorithm steps adopted by the control computing platform are as follows:
step 1: the method comprises the steps that a dummy is arranged to simulate falling and real person movement, and characteristic data of objects under different dynamic conditions are obtained respectively;
step 2: constructing a training sample by using the obtained characteristic data of the object under the dynamic state;
and step 3: and collecting the characteristic data of the user, comparing the characteristic data with the training data, and detecting whether the falling behavior exists by adopting a classifier.
Preferably, the number of the data acquisition terminals is not less than two, one data acquisition terminal is arranged on the roof of the toilet, and the other data acquisition terminals are arranged on the wall of the toilet.
Preferably, the movement of the real person comprises walking, squatting, standing, waving hands, lifting legs and bending waist.
Preferably, the dummy simulated falling comprises standing sliding falling, standing leaning backwards for falling, squatting for falling, standing leaning for falling.
Preferably, the hospital management platform presets at least one family contact person information, and when a fall-down behavior occurs, the hospital management platform generates help seeking information sent to the communication terminal of the family contact person.
Preferably, the dummy and the real are provided with a plurality of groups.
(III) advantageous effects
The invention provides a microwave induction toilet falling alarm system. The method has the following beneficial effects:
the data acquisition terminal adopts the microwave radar, very big protection individual privacy, through constructing the training sample, utilize the accurate current action of judging of classifier, if the action of falling takes place can call the platform through hospital management platform and nurse station and in time report to the police, guaranteed that the very first time after falling can be found.
Drawings
FIG. 1 is a system diagram of the present invention;
FIG. 2 is a flowchart illustrating the determination of the control computing platform according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides a technical solution: a microwave-induced toilet fall alarm system, comprising:
the system comprises a data acquisition terminal, a control calculation platform, a hospital management platform and a nurse station calling platform;
the data acquisition terminal is installed in the bathroom, is connected through the gateway between data acquisition terminal and the control computing platform, and communication mode each other includes wifi, bluetooth, Zigbee, KNX, CAN etc..
The data acquisition terminal adopts a microwave radar, and is used for periodically sending microwave signals to the space, receiving reflected signals reflected by the space, acquiring radar reflection points and acquiring the position of a user;
the control computing platform is used for judging whether the object falls down according to the information of the data acquisition terminal, and if the object falls down, an alarm is sent to the hospital management platform and the nurse station calling platform.
The algorithm steps adopted by the control computing platform are as follows:
step 1: the method comprises the steps that a dummy is arranged to simulate falling and real person movement, and characteristic data of objects under different dynamic conditions are obtained respectively;
step 2: constructing a training sample by using the obtained characteristic data of the object under the dynamic state;
and step 3: and collecting the characteristic data of the user, comparing the characteristic data with the training data, and detecting whether the falling behavior exists by adopting a classifier.
The number of the data acquisition terminals is not less than two, one data acquisition terminal is arranged on the roof of the toilet, the rest data acquisition terminals are arranged on the wall of the toilet, the microwave radar acquires human body information within a detection range and sends the information to the single chip microcomputer, the single chip microcomputer sends the information to the control computing platform in a wireless communication mode, and the control computing platform calculates and judges the falling behavior.
The real person moves including walking, squatting, standing, waving hands, lifting legs and bending waist, the actions in the toilet are simulated as much as possible, the accuracy of constructing the training sample is guaranteed, and the accuracy of identification is improved.
The dummy simulates falling, including standing for slipping, standing for leaning backwards for falling, squatting for falling, standing for leaning for falling, and simulating various falling actions, so that the accuracy of constructing a training sample is guaranteed, and the accuracy of identification is improved.
The hospital management platform presets at least one family contact person information, and when the falling behavior occurs, the hospital management platform generates help seeking information sent to the communication terminal of the family contact person, can send out an alarm to the family and a nurse in time, and saves falling personnel in time.
The false people and the real people are provided with multiple groups, and can be divided according to different heights and weights, so that the posture characteristics of most of people can be covered, and the accuracy of judgment can be improved.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. The term "comprising", without further limitation, means that the element so defined is not excluded from the group consisting of additional identical elements in the process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (7)

1. A microwave response bathroom tumble alarm system is characterized in that: the method comprises the following steps:
the system comprises a data acquisition terminal, a control calculation platform, a hospital management platform and a nurse station calling platform;
the data acquisition terminal is arranged in a toilet and is connected with the control computing platform through a gateway;
the data acquisition terminal adopts a microwave radar and is used for periodically sending microwave signals to the space, receiving reflected signals reflected by the space, acquiring radar reflection points and acquiring the position of a user;
the control computing platform is used for judging whether the object falls down according to the information of the data acquisition terminal, and if the object falls down, an alarm is sent to the hospital management platform and the nurse station calling platform.
2. A microwave induction toilet fall alarm system as in claim 1, wherein: the algorithm steps adopted by the control computing platform are as follows:
step 1: the method comprises the steps that a dummy is arranged to simulate falling and real person movement, and characteristic data of objects under different dynamic conditions are obtained respectively;
step 2: constructing a training sample by using the obtained characteristic data of the object under the dynamic state;
and step 3: and collecting the characteristic data of the user, comparing the characteristic data with the training data, and detecting whether the falling behavior exists by adopting a classifier.
3. A microwave induction toilet fall alarm system as in claim 1, wherein: the number of the data acquisition terminals is not less than two, one data acquisition terminal is arranged on the roof of the toilet, and the other data acquisition terminals are arranged on the wall of the toilet.
4. A microwave induction toilet fall alarm system as in claim 2, wherein: the real person moving comprises walking, squatting, standing, waving hands, lifting legs and bending waist.
5. A microwave induction toilet fall alarm system as in claim 2, wherein: the dummy simulated tumble comprises standing tumble, standing backward tumble, squatting tumble, standing heeling tumble.
6. A microwave induction toilet fall alarm system as in claim 1, wherein: the hospital management platform presets at least one family contact person information, and generates help seeking information sent to the communication terminal of the family contact person when a falling behavior occurs.
7. A microwave induction toilet fall alarm system as in claim 2, wherein: the dummy and the real are provided with a plurality of groups.
CN202111184375.4A 2021-10-11 2021-10-11 Microwave induction toilet tumble alarm system Pending CN113793478A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111184375.4A CN113793478A (en) 2021-10-11 2021-10-11 Microwave induction toilet tumble alarm system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111184375.4A CN113793478A (en) 2021-10-11 2021-10-11 Microwave induction toilet tumble alarm system

Publications (1)

Publication Number Publication Date
CN113793478A true CN113793478A (en) 2021-12-14

Family

ID=78877805

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111184375.4A Pending CN113793478A (en) 2021-10-11 2021-10-11 Microwave induction toilet tumble alarm system

Country Status (1)

Country Link
CN (1) CN113793478A (en)

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205943017U (en) * 2016-08-23 2017-02-08 华亚芳 Medical control protection system
CN109375217A (en) * 2018-11-22 2019-02-22 九牧厨卫股份有限公司 A kind of detection method, detection device, terminal and detection system
CN109581361A (en) * 2018-11-22 2019-04-05 九牧厨卫股份有限公司 A kind of detection method, detection device, terminal and detection system
CN109765552A (en) * 2019-02-22 2019-05-17 弗徕威智能机器人科技(上海)有限公司 It is a kind of that detection method and system are fallen down based on radar system and robot
CN109948532A (en) * 2019-03-19 2019-06-28 桂林电子科技大学 ULTRA-WIDEBAND RADAR human motion recognition method based on depth convolutional neural networks
CN211826497U (en) * 2020-02-25 2020-10-30 山东省科学院自动化研究所 Old people falling alarm system based on Doppler radar technology
CN213092486U (en) * 2020-09-11 2021-04-30 高州市人民医院 Automatic early warning ware of tumbleing is prevented in ward
CN113221709A (en) * 2021-04-30 2021-08-06 芜湖美的厨卫电器制造有限公司 Method and device for recognizing user movement and water heater
CN113447905A (en) * 2021-06-29 2021-09-28 西安电子科技大学 Double-millimeter-wave radar human body falling detection device and detection method
CN214335913U (en) * 2020-11-17 2021-10-01 芜湖美的厨卫电器制造有限公司 Intelligent bathroom monitoring device and water heater

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN205943017U (en) * 2016-08-23 2017-02-08 华亚芳 Medical control protection system
CN109375217A (en) * 2018-11-22 2019-02-22 九牧厨卫股份有限公司 A kind of detection method, detection device, terminal and detection system
CN109581361A (en) * 2018-11-22 2019-04-05 九牧厨卫股份有限公司 A kind of detection method, detection device, terminal and detection system
CN109765552A (en) * 2019-02-22 2019-05-17 弗徕威智能机器人科技(上海)有限公司 It is a kind of that detection method and system are fallen down based on radar system and robot
CN109948532A (en) * 2019-03-19 2019-06-28 桂林电子科技大学 ULTRA-WIDEBAND RADAR human motion recognition method based on depth convolutional neural networks
CN211826497U (en) * 2020-02-25 2020-10-30 山东省科学院自动化研究所 Old people falling alarm system based on Doppler radar technology
CN213092486U (en) * 2020-09-11 2021-04-30 高州市人民医院 Automatic early warning ware of tumbleing is prevented in ward
CN214335913U (en) * 2020-11-17 2021-10-01 芜湖美的厨卫电器制造有限公司 Intelligent bathroom monitoring device and water heater
CN113221709A (en) * 2021-04-30 2021-08-06 芜湖美的厨卫电器制造有限公司 Method and device for recognizing user movement and water heater
CN113447905A (en) * 2021-06-29 2021-09-28 西安电子科技大学 Double-millimeter-wave radar human body falling detection device and detection method

Similar Documents

Publication Publication Date Title
Lim et al. Fall-detection algorithm using 3-axis acceleration: combination with simple threshold and hidden Markov model
CN106875629B (en) Home-based endowment system based on somatosensory network and control method thereof
Varshavsky et al. The skyloc floor localization system
Liau et al. Inhabitants tracking system in a cluttered home environment via floor load sensors
CN110933632B (en) Terminal indoor positioning method and system
CN103176164A (en) Multi-target passive tracking method based on wireless sensor network
US20090251313A1 (en) Wireless Tracking System And Method Utilizing Variable Location Algorithms
CN106707233A (en) Multi-side positioning method and multi-side positioning device based on outlier detection
CN105891775A (en) Smart monitoring method and apparatus based on region positioning
Kostopoulos et al. Increased Fall Detection Accuracy in an Accelerometer-based Algorithm Considering Residual Movement.
CN106793085A (en) Fingerprint positioning method based on normality assumption inspection
Honnef et al. Zero-effort indoor continuous social distancing monitoring system
CN109657572A (en) Goal behavior recognition methods after a kind of wall based on Wi-Fi
JP2004164282A (en) Personal behavior detection system
Anzum et al. Zone-based indoor localization using neural networks: A view from a real testbed
CN105893750A (en) Information push method, device and system
Shipkovenski et al. A beacon-based indoor positioning system for location tracking of patients in a hospital
Alsinglawi et al. Passive RFID localisation framework in smart homes healthcare settings
CN113945915A (en) Method and device for detecting falling by millimeter wave radar
Chen et al. InferLoc: calibration free based location inference for temporal and spatial fine-granularity magnitude
Horng et al. The smart fall detection mechanism for healthcare under free-living conditions
CN113793478A (en) Microwave induction toilet tumble alarm system
Rahaman et al. Counting calories without wearables: device-free human energy expenditure estimation
Wang et al. Location-aware fall detection system for dementia care on nursing service in evergreen inn of Jianan hospital
Ho et al. An adaptive two-phase approach to wifi location sensing

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: 20211214