CN110537865A - intelligent toilet seat control method, electronic device and storage medium - Google Patents
intelligent toilet seat control method, electronic device and storage medium Download PDFInfo
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- 230000009471 action Effects 0.000 claims abstract description 119
- 230000027939 micturition Effects 0.000 claims abstract description 36
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- 230000015654 memory Effects 0.000 claims description 20
- 210000002700 urine Anatomy 0.000 claims description 20
- 238000006243 chemical reaction Methods 0.000 claims description 19
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Classifications
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47K—SANITARY EQUIPMENT NOT OTHERWISE PROVIDED FOR; TOILET ACCESSORIES
- A47K13/00—Seats or covers for all kinds of closets
- A47K13/10—Devices for raising and lowering, e.g. tilting or lifting mechanisms; Collapsible or rotating seats or covers
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- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47K—SANITARY EQUIPMENT NOT OTHERWISE PROVIDED FOR; TOILET ACCESSORIES
- A47K13/00—Seats or covers for all kinds of closets
- A47K13/24—Parts or details not covered in, or of interest apart from, groups A47K13/02 - A47K13/22, e.g. devices imparting a swinging or vibrating motion to the seats
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/50—Systems of measurement based on relative movement of target
- G01S13/52—Discriminating between fixed and moving objects or between objects moving at different speeds
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/50—Systems of measurement based on relative movement of target
- G01S13/52—Discriminating between fixed and moving objects or between objects moving at different speeds
- G01S13/56—Discriminating between fixed and moving objects or between objects moving at different speeds for presence detection
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/12—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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Abstract
the invention discloses an intelligent toilet seat control method, electronic equipment and a storage medium, wherein the method comprises the following steps: detecting a received wireless signal, wherein the wireless signal is sent by a signal transmitting device and is reflected and received; when the reflector is detected to be within the set distance threshold, identifying; and controlling the seat ring to be opened if the standing action is recognized after the reflector is recognized to approach the closestool, the human chest movement action is recognized when the reflector is recognized, and/or the human standing urination posture is recognized when the reflector is recognized. The invention automatically turns over the ring and the cover by identifying the characteristic action of the male urination behavior, thereby avoiding the sanitation problem caused by turning over the cover by hands and the urination liquid on the seat ring caused by the male child without turning over the ring.
Description
Technical Field
the invention relates to the technical field related to sanitary products, in particular to an intelligent toilet seat control method, electronic equipment and a storage medium.
background
at present, the intelligent closestool is popularized to a certain extent in families, people approach the closestool for a certain distance, the automatic cover turning technology is mature, but when men urinate, the ring needs to be turned over manually. In order to prevent urine from being sprinkled on the seat ring, the seat ring is difficult to avoid and unsanitary when a hand touches the seat ring, and particularly, the seat ring is full of urine due to the fact that male children urinate without the awareness of turning over the seat ring, so that the trouble of family women is caused.
for this purpose, in the prior art, CN106108760A proposes to turn up a seat when detecting the standing direction of an object relative to the toilet table after detecting that the object is close to the toilet table, and to put down the seat when the sensing unit detects that the object is away from the toilet table. For example, JP2006115985A discloses detecting a user's shoe to control the turning-up of the seat. For example, US20100058520A1 is also used for controlling the turning up and down of the seat ring according to the approaching or departing of human body.
However, in the prior art, such as the above technical solutions, the user is required to perform some specific actions, such as stepping into a specific position, turning around, etc., since the actions need to be specified, the female user performing such actions may be mistakenly identified, and especially the child does not have such awareness, and the function is similar to the nominal function.
disclosure of Invention
therefore, it is necessary to provide an intelligent toilet seat control method, an electronic device, and a storage medium for solving the technical problem that the seat cannot be accurately turned up due to the failure of well recognizing the male urination behavior in the prior art.
the invention provides an intelligent toilet seat control method, which comprises the following steps:
detecting a received wireless signal, wherein the wireless signal is sent by a signal transmitting device and is reflected and received;
When the reflector is detected to be within the set distance threshold, identifying;
And controlling the seat ring to be opened if the standing action is recognized after the reflector is recognized to approach the closestool, the human chest movement action is recognized when the reflector is recognized, and/or the human standing urination posture is recognized when the reflector is recognized.
further, the identification of standing actions after the identification of actions of the human body approaching the toilet specifically comprises:
Carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data with an I phase signal and a Q phase signal;
if the I phase signal of the frequency domain data is before the Q phase signal, judging that the toilet bowl is close to action;
And if the I phase signal and the Q phase signal are detected to disappear and continue for a preset time after the toilet approaching action is detected, judging that the standing action is detected.
further, the recognizing that the reflector has the motion of the chest of the human body specifically includes:
carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data;
And if the frequency of the peak-peak value of the frequency domain data is within a preset frequency range, judging that the human chest moves.
further, the wireless signal is a millimeter wave radar signal, and the recognizing that the reflector has a human body standing urine posture specifically includes:
carrying out millimeter wave radar fuzzy imaging on the received wireless signals to obtain a human body radar imaging image;
and if the human body radar imaging picture identifies that the gap between two legs of the human body is in a preset gap range, the distance difference between two feet is smaller than a preset distance threshold value, the arm is in front of the body and/or the head tilts forwards, the human body standing urination action is judged.
further, still include:
Carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data with an I phase signal and a Q phase signal;
And if the I phase signal of the frequency domain data is behind the Q phase signal, controlling the seat ring to be closed.
still further, still include:
Within a preset time threshold after controlling the seat ring to be turned open, if the seat ring is manually closed, marking the result of the turn-open of the secondary seat ring as wrong, and if the seat ring is not manually closed, marking the result of the turn-open of the secondary seat ring as correct;
recording parameters for recognizing standing actions after a human body approaches a closestool, recognizing that a reflector has human chest movement actions, and/or recognizing that the reflector has human standing urination gestures, and storing the parameters in association with the result;
And performing machine learning based on the parameters and the associated result to obtain parameters after machine learning, and correcting the parameters after machine learning to identify standing actions after the action of identifying the human body approaching the closestool, identify that the reflector has a chest movement action of the human body, and/or identify that the reflector has a standing urine posture of the human body.
the invention provides an intelligent toilet seat control electronic device, comprising:
at least one processor; and the number of the first and second groups,
A memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the one processor to cause the at least one processor to:
detecting a received wireless signal, wherein the wireless signal is sent by a signal transmitting device and is reflected and received;
when the reflector is detected to be within the set distance threshold, identifying;
And controlling the seat ring to be opened if the standing action is recognized after the reflector is recognized to approach the closestool, the human chest movement action is recognized when the reflector is recognized, and/or the human standing urination posture is recognized when the reflector is recognized.
Further, the identification of standing actions after the identification of actions of the human body approaching the toilet specifically comprises:
carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data with an I phase signal and a Q phase signal;
if the I phase signal of the frequency domain data is before the Q phase signal, judging that the toilet bowl is close to action;
And if the I phase signal and the Q phase signal are detected to disappear and continue for a preset time after the toilet approaching action is detected, judging that the standing action is detected.
further, the recognizing that the reflector has the motion of the chest of the human body specifically includes:
carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data;
And if the frequency of the peak-peak value of the frequency domain data is within a preset frequency range, judging that the human chest moves.
further, the wireless signal is a millimeter wave radar signal, and the recognizing that the reflector has a human body standing urine posture specifically includes:
Carrying out millimeter wave radar fuzzy imaging on the received wireless signals to obtain a human body radar imaging image;
And if the human body radar imaging picture identifies that the gap between two legs of the human body is in a preset gap range, the distance difference between two feet is smaller than a preset distance threshold value, the arm is in front of the body and/or the head tilts forwards, the human body standing urination action is judged.
further, still include:
Carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data with an I phase signal and a Q phase signal;
And if the I phase signal of the frequency domain data is behind the Q phase signal, controlling the seat ring to be closed.
Still further, still include:
Within a preset time threshold after controlling the seat ring to be turned open, if the seat ring is manually closed, marking the result of the turn-open of the secondary seat ring as wrong, and if the seat ring is not manually closed, marking the result of the turn-open of the secondary seat ring as correct;
Recording parameters for recognizing standing actions after a human body approaches a closestool, recognizing that a reflector has human chest movement actions, and/or recognizing that the reflector has human standing urination gestures, and storing the parameters in association with the result;
and performing machine learning based on the parameters and the associated result to obtain parameters after machine learning, and correcting the parameters after machine learning to identify standing actions after the action of identifying the human body approaching the closestool, identify that the reflector has a chest movement action of the human body, and/or identify that the reflector has a standing urine posture of the human body.
the present invention provides a storage medium storing computer instructions for performing all the steps of the intelligent toilet seat control method as described above when the computer executes the computer instructions.
the invention automatically turns over the ring and the cover by identifying the characteristic action of the male urination behavior, thereby avoiding the sanitation problem caused by turning over the cover by hands and the urination liquid on the seat ring caused by the male child without turning over the ring.
Drawings
FIG. 1 is a flowchart illustrating a method for controlling a toilet seat according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an intelligent toilet according to the preferred embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for controlling a toilet seat according to a second embodiment of the present invention;
FIG. 4 is a schematic view of a person approaching a toilet;
FIG. 5 is a flowchart illustrating a method for controlling a toilet seat according to a third embodiment of the present invention;
fig. 6 is a schematic diagram of a hardware structure of an intelligent toilet seat control electronic device according to a fourth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and specific examples.
example one
fig. 1 is a flowchart illustrating an intelligent toilet seat control method according to an embodiment of the present invention, including:
Step S101, detecting a received wireless signal, wherein the wireless signal is sent by a signal transmitting device and is reflected and received;
step S102, when the reflector is detected to be within a set distance threshold value, identifying;
And S103, controlling the seat ring to be opened if the standing action is recognized after the reflector is recognized to be close to the closestool action, the human chest movement action is recognized when the reflector is recognized, and/or the human standing urine posture is recognized when the reflector is recognized.
specifically, as shown in fig. 2, the intelligent toilet comprises a ceramic body 1, a toilet lid 2, a seat 3, a signal emitting device 4, an automatic sensing device and a control module.
The auto-induction device performs step S101 to detect a received wireless signal, where the wireless signal is transmitted by the signal transmitting device and is reflected and received when encountering a reflecting object, such as a human body. When the reflector is detected to be within the set distance threshold, step S102 is triggered to perform identification. Then, step S103 identifies a male user urine action, and when the male user urine action is identified, the control module may control the seat ring to be opened. Preferably, the toilet seat can be controlled to be opened at the same time when the seat ring is controlled to be opened, or the toilet seat can be controlled to be opened firstly, and then the seat ring is opened when the urine action of a male user is recognized. The automatic induction device and the control module can be arranged independently or integrally.
the male urination action comprises standing after approaching a closestool, and the standing action can be judged by identifying the action of the human body approaching the closestool and then identifying. In addition, the male stands facing the closestool, breathes to cause the chest to move by about 10mm magnitude, does not have the characteristic when facing away from the closestool, and can be judged by the identification of the motion action of the chest of the human body. The male has a specific standing posture when standing for urination, and the standing posture of the human body can be recognized.
Preferably, when all three conditions of step S103 are satisfied, the races are controlled to be turned over. To avoid false triggering.
Preferably, the automatic induction device is a microwave automatic induction device, and the urine actions of the male user are automatically recognized by means of a millimeter wave radar technology and a two-transmission and multiple-reception technology.
The invention automatically turns over the ring and the cover by identifying the characteristic action of the male urination behavior, thereby avoiding the sanitation problem caused by turning over the cover by hands and the urination liquid on the seat ring caused by the male child without turning over the ring.
Example two
Fig. 3 is a flowchart illustrating an intelligent toilet seat control method according to a second embodiment of the present invention, including:
step S301, detecting the received wireless signal, wherein the wireless signal is sent by the signal transmitting device and is reflected and received.
step S302, when the reflector is detected to be within the set distance threshold value, identification is carried out.
Specifically, the method adopts a Frequency Modulated Continuous Wave (FMCW) principle, performs Fast Fourier Transform (FFT) operation on an Analog-to-Digital Converter (ADC) value corresponding to a received reflected transmission signal, and identifies the distance from the human body to the intelligent toilet, where the human body satisfies a first factor within a set distance threshold.
step S303, carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data with an I phase signal and a Q phase signal; if the I phase signal of the frequency domain data is before the Q phase signal, judging that the toilet bowl is close to action; and if the I phase signal and the Q phase signal are detected to disappear and continue for a preset time after the toilet approaching action is detected, judging that the standing action is detected.
as shown in fig. 4, the fast algorithm transform of the distance dft is performed on the value obtained by performing the analog-to-digital conversion on the received wireless signal, and frequency domain data is obtained, where the I phase is before the Q phase, and is identified as approaching the toilet, and the IQ signal disappears and continues for a certain time as a standing motion, and then satisfies the second factor.
Step S304, carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data; and if the frequency of the peak-peak value of the frequency domain data is within a preset frequency range, judging that the human chest moves.
the male stands facing the toilet and breathing causes chest movement of the order of about 10mm, which is not characteristic when facing away from the toilet. And identifying the chest fluctuation by using the peak-peak value in the distance FFT, carrying out unwrapping processing on the phase, and meeting a third factor when the calculated continuous regular respiratory frequency is within a preset frequency threshold range.
step S305, performing millimeter wave radar fuzzy imaging on the received wireless signals to obtain a human body radar imaging graph; and if the human body radar imaging picture identifies that the gap between two legs of the human body is in a preset gap range, the distance difference between two feet is smaller than a preset distance threshold value, the arm is in front of the body and/or the head tilts forwards, the human body standing urination action is judged.
Preferably, the millimeter wave radar works in a two-transmission and multiple-reception working mode, the millimeter wave radar fuzzy imaging principle and the trend algorithm are utilized to identify that the gap between two legs of a human body is in a preset gap range, the foot distance difference is smaller than a preset distance threshold value, and if the arm is in front of the body and the head is forward inclined, the fourth factor is met.
And S306, controlling the seat ring to be opened if the standing action is recognized after the reflector is recognized to be close to the closestool action, the human chest movement action is recognized when the reflector is recognized, and/or the human standing urine posture is recognized when the reflector is recognized.
preferably, the seat ring is controlled to be opened after the first, second, third and third elements are satisfied.
Step S307, fast algorithm transformation of distance discrete Fourier transform is carried out on the value of the received wireless signal after analog-to-digital conversion, and frequency domain data with an I phase signal and a Q phase signal are obtained; and if the I phase signal of the frequency domain data is behind the Q phase signal, controlling the seat ring to be closed.
Specifically, after the seat ring is controlled to be closed, the toilet cover can be controlled to be closed.
In the embodiment, the distance FFT operation is performed on the ADC value corresponding to the transmitting signal, and the urine action of the male user is accurately determined through frequency domain data and a radar fuzzy imaging mode.
EXAMPLE III
fig. 5 is a flowchart illustrating an intelligent toilet seat control method according to a third embodiment of the present invention, including:
step S501, detecting received wireless signals, wherein the wireless signals are sent by a signal transmitting device and are reflected and received;
step S502, when the reflector is detected to be within a set distance threshold value, identification is carried out;
And S503, controlling the seat ring to be opened if the standing action is recognized after the reflector is recognized to be close to the closestool action, the human chest movement action is recognized, and/or the human standing urine posture is recognized.
Step S504, within a preset time threshold after controlling the seat ring to be turned over, if the seat ring is manually closed, the turn-over result of the secondary seat ring is marked as wrong, and if the seat ring is not manually closed, the turn-over result of the secondary seat ring is marked as correct;
step S505, recording parameters for recognizing standing action after the action of a human body approaching a closestool, recognizing that a reflector has human chest movement action, and/or recognizing that the reflector has human standing urine posture, and storing the parameters and the result in a correlation manner;
and S506, performing machine learning based on the parameters and the associated result to obtain parameters after machine learning, and correcting the parameters after machine learning to identify standing actions after the action of the human body approaching the closestool is identified, identify the reflector to have human chest movement actions and/or identify the reflector to have human standing urine posture.
Specifically, the machine Learning method may be Reinforcement Learning (RL). When a female member in a family uses the toilet, there is a possibility that a part of actions of the female member may cause false triggering due to improper parameter setting when the female member leaves a factory. This will cause the female member to manually close the seat. The woman's manual closure of the seat would teach the intelligent toilet to improve its subsequent parameter settings.
the embodiment optimizes the parameters for recognizing the standing action after the action of the human body approaching the closestool, recognizing the reflector having the human body chest movement action and/or recognizing the reflector having the human body standing urination posture and the associated result by performing machine learning on the parameters and the associated results for recognizing the standing action after the action of the human body approaching the closestool, recognizing the reflector having the human body chest movement action and/or recognizing the reflector having the human body standing urination posture.
Example four
Fig. 6 is a schematic diagram of a hardware structure of an intelligent toilet seat control electronic device according to a fourth embodiment of the present invention, including:
at least one processor 601; and the number of the first and second groups,
a memory 602 communicatively coupled to the at least one processor 601; wherein,
The memory 602 stores instructions executable by the one processor to cause the at least one processor to:
detecting a received wireless signal, wherein the wireless signal is sent by a signal transmitting device and is reflected and received;
when the reflector is detected to be within the set distance threshold, identifying;
and controlling the seat ring to be opened if the standing action is recognized after the reflector is recognized to approach the closestool, the human chest movement action is recognized when the reflector is recognized, and/or the human standing urination posture is recognized when the reflector is recognized.
In fig. 6, one processor 602 is taken as an example.
the electronic device may further include: an input device 603.
the processor 601, the memory 602, and the input device 603 may be connected by a bus or other means, and the bus connection is taken as an example in the figure.
The memory 602, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the toilet water usage control method in the embodiments of the present application, for example, the method flows shown in fig. 1-3. The processor 601 executes various functional applications and data processing by running nonvolatile software programs, instructions and modules stored in the memory 602, that is, implements the intelligent toilet seat control method in the above-described embodiments.
the memory 602 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the intelligent toilet seat control method, and the like. Further, the memory 602 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 602 optionally includes memory located remotely from the processor 601, and these remote memories may be connected over a network to a device that performs the intelligent toilet seat control method. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
the input device 603 may receive input user clicks and generate signal inputs related to user settings and functional control of the intelligent toilet seat control method.
The intelligent toilet seat control method in any of the above method embodiments is performed when the one or more modules are stored in the memory 602 and executed by the one or more processors 601.
the invention automatically turns over the ring and the cover by identifying the characteristic action of the male urination behavior, thereby avoiding the sanitation problem caused by turning over the cover by hands and the urination liquid on the seat ring caused by the male child without turning over the ring.
EXAMPLE five
A fifth embodiment of the present invention provides an intelligent toilet seat control electronic device, including:
at least one processor; and the number of the first and second groups,
A memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the one processor to cause the at least one processor to:
And detecting a received wireless signal, wherein the wireless signal is sent by the signal transmitting device and is reflected and received.
and when the reflector is detected to be within the set distance threshold value, identifying.
Carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data with an I phase signal and a Q phase signal; if the I phase signal of the frequency domain data is before the Q phase signal, judging that the toilet bowl is close to action; and if the I phase signal and the Q phase signal are detected to disappear and continue for a preset time after the toilet approaching action is detected, judging that the standing action is detected.
Carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data; and if the frequency of the peak-peak value of the frequency domain data is within a preset frequency range, judging that the human chest moves.
Carrying out millimeter wave radar fuzzy imaging on the received wireless signals to obtain a human body radar imaging image; and if the human body radar imaging picture identifies that the gap between two legs of the human body is in a preset gap range, the distance difference between two feet is smaller than a preset distance threshold value, the arm is in front of the body and/or the head tilts forwards, the human body standing urination action is judged.
and controlling the seat ring to be opened if the standing action is recognized after the reflector is recognized to approach the closestool, the human chest movement action is recognized when the reflector is recognized, and/or the human standing urination posture is recognized when the reflector is recognized.
carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data with an I phase signal and a Q phase signal; and if the I phase signal of the frequency domain data is behind the Q phase signal, controlling the seat ring to be closed.
in the embodiment, the distance FFT operation is performed on the ADC value corresponding to the transmitting signal, and the urine action of the male user is accurately determined through frequency domain data and a radar fuzzy imaging mode.
EXAMPLE six
A sixth embodiment of the present invention provides an intelligent toilet seat control electronic device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
The memory stores instructions executable by the one processor to cause the at least one processor to:
Detecting a received wireless signal, wherein the wireless signal is sent by a signal transmitting device and is reflected and received;
when the reflector is detected to be within the set distance threshold, identifying;
And controlling the seat ring to be opened if the standing action is recognized after the reflector is recognized to approach the closestool, the human chest movement action is recognized when the reflector is recognized, and/or the human standing urination posture is recognized when the reflector is recognized.
Within a preset time threshold after controlling the seat ring to be turned open, if the seat ring is manually closed, marking the result of the turn-open of the secondary seat ring as wrong, and if the seat ring is not manually closed, marking the result of the turn-open of the secondary seat ring as correct;
Recording parameters for recognizing standing actions after a human body approaches a closestool, recognizing that a reflector has human chest movement actions, and/or recognizing that the reflector has human standing urination gestures, and storing the parameters in association with the result;
And performing machine learning based on the parameters and the associated result to obtain parameters after machine learning, and correcting the parameters after machine learning to identify standing actions after the action of identifying the human body approaching the closestool, identify that the reflector has a chest movement action of the human body, and/or identify that the reflector has a standing urine posture of the human body.
The embodiment optimizes the parameters for recognizing the standing action after the action of the human body approaching the closestool, recognizing the reflector having the human body chest movement action and/or recognizing the reflector having the human body standing urination posture and the associated result by performing machine learning on the parameters and the associated results for recognizing the standing action after the action of the human body approaching the closestool, recognizing the reflector having the human body chest movement action and/or recognizing the reflector having the human body standing urination posture.
A seventh embodiment of the present invention provides a storage medium storing computer instructions for performing all the steps of the intelligent toilet seat control method as described above when the computer executes the computer instructions.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (13)
1. an intelligent toilet seat control method, comprising:
Detecting a received wireless signal, wherein the wireless signal is sent by a signal transmitting device and is reflected and received;
When the reflector is detected to be within the set distance threshold, identifying;
and controlling the seat ring to be opened if the standing action is recognized after the reflector is recognized to approach the closestool, the human chest movement action is recognized when the reflector is recognized, and/or the human standing urination posture is recognized when the reflector is recognized.
2. The intelligent toilet seat control method according to claim 1, wherein the step of recognizing the standing action after recognizing the action of the human body approaching the toilet seat specifically comprises the steps of:
Carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data with an I phase signal and a Q phase signal;
If the I phase signal of the frequency domain data is before the Q phase signal, judging that the toilet bowl is close to action;
And if the I phase signal and the Q phase signal are detected to disappear and continue for a preset time after the toilet approaching action is detected, judging that the standing action is detected.
3. the intelligent toilet seat control method according to claim 1, wherein the recognizing that the reflector has a human chest movement action specifically comprises:
carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data;
And if the frequency of the peak-peak value of the frequency domain data is within a preset frequency range, judging that the human chest moves.
4. The intelligent toilet seat control method according to claim 1, wherein the wireless signal is a millimeter wave radar signal, and the recognizing that the reflector has a standing urination posture specifically comprises:
carrying out millimeter wave radar fuzzy imaging on the received wireless signals to obtain a human body radar imaging image;
And if the human body radar imaging picture identifies that the gap between two legs of the human body is in a preset gap range, the distance difference between two feet is smaller than a preset distance threshold value, the arm is in front of the body and/or the head tilts forwards, the human body standing urination action is judged.
5. The intelligent toilet seat control method of claim 1, further comprising:
carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data with an I phase signal and a Q phase signal;
And if the I phase signal of the frequency domain data is behind the Q phase signal, controlling the seat ring to be closed.
6. the intelligent toilet seat control method according to any one of claims 1 to 5, further comprising:
Within a preset time threshold after controlling the seat ring to be turned open, if the seat ring is manually closed, marking the result of the turn-open of the secondary seat ring as wrong, and if the seat ring is not manually closed, marking the result of the turn-open of the secondary seat ring as correct;
Recording parameters for recognizing standing actions after a human body approaches a closestool, recognizing that a reflector has human chest movement actions, and/or recognizing that the reflector has human standing urination gestures, and storing the parameters in association with the result;
and performing machine learning based on the parameters and the associated result to obtain parameters after machine learning, and correcting the parameters after machine learning to identify standing actions after the action of identifying the human body approaching the closestool, identify that the reflector has a chest movement action of the human body, and/or identify that the reflector has a standing urine posture of the human body.
7. An intelligent toilet seat control electronics, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the one processor to cause the at least one processor to:
detecting a received wireless signal, wherein the wireless signal is sent by a signal transmitting device and is reflected and received;
When the reflector is detected to be within the set distance threshold, identifying;
And controlling the seat ring to be opened if the standing action is recognized after the reflector is recognized to approach the closestool, the human chest movement action is recognized when the reflector is recognized, and/or the human standing urination posture is recognized when the reflector is recognized.
8. the intelligent toilet seat control electronic device of claim 7, wherein the identification of the standing action after the identification of the action of the human body approaching the toilet specifically comprises:
carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data with an I phase signal and a Q phase signal;
If the I phase signal of the frequency domain data is before the Q phase signal, judging that the toilet bowl is close to action;
And if the I phase signal and the Q phase signal are detected to disappear and continue for a preset time after the toilet approaching action is detected, judging that the standing action is detected.
9. The intelligent toilet seat control electronics of claim 7, wherein the identification of the reflector having human chest movement activity comprises:
Carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data;
and if the frequency of the peak-peak value of the frequency domain data is within a preset frequency range, judging that the human chest moves.
10. the intelligent toilet seat control electronic device according to claim 7, wherein the wireless signal is a millimeter wave radar signal, and the recognizing that the reflector has a human standing urination posture specifically comprises:
carrying out millimeter wave radar fuzzy imaging on the received wireless signals to obtain a human body radar imaging image;
And if the human body radar imaging picture identifies that the gap between two legs of the human body is in a preset gap range, the distance difference between two feet is smaller than a preset distance threshold value, the arm is in front of the body and/or the head tilts forwards, the human body standing urination action is judged.
11. The intelligent toilet seat control electronics of claim 7, further comprising:
Carrying out fast algorithm transformation of distance discrete Fourier transform on the value of the received wireless signal after analog-to-digital conversion to obtain frequency domain data with an I phase signal and a Q phase signal;
and if the I phase signal of the frequency domain data is behind the Q phase signal, controlling the seat ring to be closed.
12. An intelligent toilet seat control electronics, as claimed in any one of claims 7 to 11, further comprising:
Within a preset time threshold after controlling the seat ring to be turned open, if the seat ring is manually closed, marking the result of the turn-open of the secondary seat ring as wrong, and if the seat ring is not manually closed, marking the result of the turn-open of the secondary seat ring as correct;
Recording parameters for recognizing standing actions after a human body approaches a closestool, recognizing that a reflector has human chest movement actions, and/or recognizing that the reflector has human standing urination gestures, and storing the parameters in association with the result;
and performing machine learning based on the parameters and the associated result to obtain parameters after machine learning, and correcting the parameters after machine learning to identify standing actions after the action of identifying the human body approaching the closestool, identify that the reflector has a chest movement action of the human body, and/or identify that the reflector has a standing urine posture of the human body.
13. A storage medium storing computer instructions for performing all the steps of the intelligent toilet seat control method according to any one of claims 1 to 6 when the computer instructions are executed by a computer.
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Application publication date: 20191206 |