WO2021068419A1 - 一种气流感测座椅 - Google Patents
一种气流感测座椅 Download PDFInfo
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- WO2021068419A1 WO2021068419A1 PCT/CN2019/128942 CN2019128942W WO2021068419A1 WO 2021068419 A1 WO2021068419 A1 WO 2021068419A1 CN 2019128942 W CN2019128942 W CN 2019128942W WO 2021068419 A1 WO2021068419 A1 WO 2021068419A1
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- airbag
- signal
- seat
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Images
Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/002—Seats provided with an occupancy detection means mounted therein or thereon
- B60N2/0021—Seats provided with an occupancy detection means mounted therein or thereon characterised by the type of sensor or measurement
- B60N2/0022—Seats provided with an occupancy detection means mounted therein or thereon characterised by the type of sensor or measurement for sensing anthropometric parameters, e.g. heart rate or body temperature
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/90—Details or parts not otherwise provided for
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/037—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for occupant comfort, e.g. for automatic adjustment of appliances according to personal settings, e.g. seats, mirrors, steering wheel
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/02—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
- B60N2/0224—Non-manual adjustments, e.g. with electrical operation
- B60N2/0244—Non-manual adjustments, e.g. with electrical operation with logic circuits
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/02—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
- B60N2/04—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable the whole seat being movable
- B60N2/12—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable the whole seat being movable slidable and tiltable
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/02—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable
- B60N2/04—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable the whole seat being movable
- B60N2/16—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles the seat or part thereof being movable, e.g. adjustable the whole seat being movable height-adjustable
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/56—Heating or ventilating devices
- B60N2/5678—Heating or ventilating devices characterised by electrical systems
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60N—SEATS SPECIALLY ADAPTED FOR VEHICLES; VEHICLE PASSENGER ACCOMMODATION NOT OTHERWISE PROVIDED FOR
- B60N2/00—Seats specially adapted for vehicles; Arrangement or mounting of seats in vehicles
- B60N2/80—Head-rests
- B60N2/806—Head-rests movable or adjustable
- B60N2/809—Head-rests movable or adjustable vertically slidable
- B60N2/829—Head-rests movable or adjustable vertically slidable characterised by their adjusting mechanisms, e.g. electric motors
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
Definitions
- the present invention relates to the technical field of automobile seats, and in particular to an air flu measuring seat, which can measure passenger respiration, heart rate and other biological signals by detecting changes in airflow, and change the seat parameters according to the biological signals, so as to provide customers with More comfortable and healthy services.
- the present invention provides an air flu detection seat, which includes a seat body, an airbag, a sensing assembly, and a micro-control unit; the airbag is arranged inside the seat body, and the inside of the airbag is provided with a deformable A support structure, the support structure is used to keep a proper amount of gas in the airbag, a conduction mechanism is arranged between the airbag and the sensing assembly, and the conduction mechanism is used to conduct the gas disturbance inside the airbag to the sensing assembly ,
- the sensing component is used to generate a corresponding analog electrical signal according to the gas disturbance, the sensing component is electrically connected to the micro-control unit, the sensing component transmits the analog electrical signal to the micro-control unit, and the micro-control The unit is used to analyze and calculate the analog electrical signal to obtain the user's biological signal.
- the airbag includes a first airbag layer and a second airbag layer, and the second airbag layer is hermetically connected with the edge of the first airbag layer to form a bag-like structure, and the first airbag layer and the second airbag layer are different from each other.
- a deformable supporting structure is arranged between the airbags, and a connecting port is opened on the airbag, and the connecting port is sealed and connected with the conduction mechanism.
- the supporting structure is made of polymer material, sandwich mesh cloth, cotton, sponge or non-woven cloth.
- first airbag layer and the second airbag layer are both made of a soft and air-impermeable polymer material; the support structure is prepared by a plastic molding process.
- the transmission mechanism includes a transmission tube and a pressure regulating piece.
- One end of the transmission tube is connected to the airbag, and the other end is matched with the sensing assembly.
- the transmission tube is provided with a pressure regulating port, and the pressure regulating piece It is detachably arranged on the pressure regulating port, and the pressure regulating sheet is provided with a plurality of micro-channels which are connected to the outside.
- an output unit which is a wireless communication network, a vehicle communication circuit, a controller area network, a serial data communication protocol, an Ethernet network, a display unit, a light or sound indicator, a sound unit, or a memory .
- the seat body is also equipped with an adjustment system for changing the seat parameters, and the adjustment system is electrically connected with the micro-control unit to receive the seat parameter adjustment signal sent by the micro-control unit.
- the seat parameters include one or more of seat height, seat angle, headrest height, seat front and rear position, lumbar support height, seat temperature, and seat ventilation.
- the sensing component includes a sensor and an amplifier, the sensor is used to generate an analog electrical signal corresponding to the gas disturbance, and the amplifier is used to amplify the analog electrical signal;
- the micro-control unit includes an analog-to-digital converter and An arithmetic unit, the analog-to-digital converter is used to convert the amplified analog electrical signal into a digital signal, and the arithmetic unit is used to analyze the digital signal to obtain a biological signal.
- An intelligent seat adjustment method based on the above-mentioned air and flu test seat, includes the following steps:
- the micro-control unit adjusts the seat parameters according to the biological signal.
- the analyzing and calculating the digital signal to obtain the biological signal includes the following sub-steps:
- band-pass filters According to the characteristics of biological signals, use band-pass filters to process digital signals and extract sample signals
- the present invention discloses an air flue detection seat, the seat is embedded with an airbag inside the seat body, and a deformable support structure is arranged inside the airbag to ensure that a proper amount of gas is stored in the airbag.
- the airbag After the airbag is pressurized, the internal gas will flow, and the gas disturbance caused will be transmitted to the sensing component through the conduction mechanism in time.
- the sensing component will generate a matching analog electrical signal according to the sensed gas disturbance signal, which is controlled by the micro-control unit.
- the analog electric signal is analyzed to obtain the biological signal. In the process of obtaining biological signals, it is only necessary to embed an airbag in the seat body.
- the airbag can be installed on the seat or back of the seat, or both, without other electronic pressure sensing components, which avoids excessive pressure.
- the traditional electronic pressure-sensitive components are damaged due to the high temperature; and in the detection process, there is no need to use an air pump to inflate the airbag, and the entire seat has a simple structure, low cost, and long life.
- the most important thing is that the conduction mechanism is also equipped with a slow air leakage structure, which prevents the generation of strong airflow disturbance, ensures that the airflow disturbance is always in the detection range of the sensing component, and improves the accuracy of detection.
- Fig. 1 is a structural diagram of the air flu test seat in embodiment 1.
- FIG. 2 is a schematic diagram of the connection relationship between the airbag, the sensing component, the micro-control unit and the output unit in the first embodiment.
- Embodiment 3 is a schematic diagram of the connection relationship of the sensor, amplifier, analog-to-digital converter and arithmetic unit in Embodiment 1.
- FIG. 4 is a schematic diagram of the overall structure of the airbag in Embodiment 1.
- FIG. 4 is a schematic diagram of the overall structure of the airbag in Embodiment 1.
- FIG. 5 is a schematic diagram of the connection relationship of the components of the airbag in Embodiment 1.
- FIG. 5 is a schematic diagram of the connection relationship of the components of the airbag in Embodiment 1.
- FIG. 6 is a schematic diagram of the positional relationship of the components of the conductive mechanism in Embodiment 1.
- FIG. 6 is a schematic diagram of the positional relationship of the components of the conductive mechanism in Embodiment 1.
- FIG. 7 is a cross-sectional view of the conduction mechanism in Embodiment 1.
- FIG. 7 is a cross-sectional view of the conduction mechanism in Embodiment 1.
- FIG. 8 is a schematic diagram of the overall structure of the conduction mechanism in Embodiment 1.
- FIG. 8 is a schematic diagram of the overall structure of the conduction mechanism in Embodiment 1.
- Fig. 9 is a schematic diagram of the distribution of the airbag in the seat body in the first embodiment.
- Fig. 10 is a structural diagram of the distribution structure of the adjustment system in the seat body in the first embodiment.
- FIG. 11 is a schematic flowchart of the smart seat adjustment method in Embodiment 2.
- FIG. 12 is a schematic diagram of the flow of analyzing and calculating the digital signal in the second embodiment.
- FIG. 13 is a schematic diagram of the analog electrical signal corresponding to the gas disturbance obtained in the second embodiment.
- FIG. 14 is a schematic diagram of the digital signal, the filtered heartbeat sample signal, and the filtered respiratory sample signal obtained in Embodiment 2.
- Fig. 15 is a schematic diagram of interference signals caused when the automobile engine is started in the second embodiment.
- 16 is a comparison diagram of the heartbeat signal after the post-processing, the heartbeat signal without the post-processing, and the heartbeat signal obtained from the electrocardiogram in the second embodiment.
- Fig. 17 is a diagram showing the change of aerodynamic signal when a person is sitting and when no one is sitting in the second embodiment.
- FIG. 18 is a schematic diagram of the algorithm flow diagram for determining whether someone is sitting on a chair in Embodiment 2.
- Figure 19 is an algorithm for classifying different sitting categories in Embodiment 2.
- this embodiment provides an air flu testing seat, which includes a seat body 1, an airbag 2, a sensing assembly 3 and a micro-control unit 4.
- the airbag 2 is arranged inside the seat body 1, and a deformable support structure 21 is provided inside the airbag 2.
- the support structure 21 provides space for gas, and the support structure 21 is used to keep a proper amount of gas in the airbag 2. Since the volume of the airbag 2 changes after being compressed, the airflow disturbance inside the airbag 2 is caused. Therefore, in order to realize the variable volume of the airbag 2, the supporting structure 21 provided inside the airbag 2 must have a certain degree of elasticity, and at the same time, it needs to have a proper amount of accommodation. Gas space.
- a conduction mechanism 5 is provided between the airbag 2 and the sensing assembly 3, and the conduction mechanism 5 is used to transmit the gas disturbance inside the airbag 2 to the sensing assembly 3.
- the sensing component 3 can sense the slight change in the air flow, and generate an analog electric signal corresponding to the gas disturbance according to the slight change in the gas.
- the sensing component 3 is electrically connected to the micro control unit 4, and the sensing component 3 transmits the generated analog electrical signal to the micro control unit 4.
- the micro-control unit 4 is used for analyzing and calculating the analog electric signal to obtain the user's biological signal.
- the biological signal can refer to the heart rate frequency band, breathing frequency band, height-related information, weight-related information, body shape-related information, and body movement signals such as speaking, sitting, getting up, and fine-tuning sitting posture.
- each airbag 2 is equipped with a sensing assembly 3 and a micro-control unit 4 respectively.
- the physiological activities of the human body will affect the airbags 2 arranged on the seat cushion 12 and the backrest 11.
- the airbags 2 arranged inside the backrest 11 are compressed The situation will change, and the internal airflow will have a slight change.
- the electrical signal is sent to the micro-control unit 4, and the micro-control unit 4 completes the analysis of the analog electrical signal and obtains the biological signal.
- the biological signals obtained by each micro-control unit 4 are first classified by a classifier, and then the classified biological signals are integrated and transmitted to the output unit 6.
- classifiers include neural networks, decision trees, vector support machines, and Bayesian belief networks.
- the output unit 6 can choose any of wireless communication network, vehicle communication circuit, controller area network, serial data communication protocol, Ethernet network, display unit, sound unit, light or sound indicator or memory, here No restrictions.
- a total of 6 airbags 2 are buried inside the seat body 1, of which three airbags 2 are arranged side by side inside the seat cushion 12, and the other three airbags 2 are arranged side by side inside the backrest 11.
- the airbag 2 has a square bag structure.
- the six airbags 2 basically cover the entire area of the seat cushion 12 and the backrest 11.
- the number of airbags 2 can be adjusted appropriately according to the size of the airbag 2 area. Generally, the more airbags 2, the larger the monitoring range, and the more accurate the detection results. There is no specific restriction on the number of airbags 2 set here. .
- the airbag 2 includes a first airbag layer 22 and a second airbag layer 23. Both the first airbag layer 22 and the second airbag layer 23 are made of a soft and air-impermeable polymer material. The edges of the second airbag layer 23 and the first airbag layer 22 are hermetically connected by heat-melt bonding to form a bag-like structure.
- a deformable support structure 21 is provided between the first airbag layer 22 and the second airbag layer 23.
- the airbag 2 is provided with a connecting port, and a connecting air pipe 24 is installed at the connecting port, and the connecting air pipe 24 is in a sealed connection with the conducting mechanism 5.
- the support structure 21 arranged inside the airbag 2 can be an elastic and soft filler, such as a polymer material, sandwich mesh, cotton, sponge or non-woven fabric, preferably cotton; it can also be a specific support shape, using the structure of the shape itself Expand the airbag 2 to keep a certain amount of gas without an external inflation component.
- the support structure 21 can also be made of the same polymer material as the first airbag layer 22 and the second airbag layer 23. If the support structure 21 is made of a polymer material, a plastic injection molding process is generally used.
- the first airbag layer 22, the second airbag layer 23, and the supporting structure 21 are all made of polyvinyl chloride (PVC) material.
- a slow air leakage structure can be provided on the airbag 2 or the conducting mechanism 5 to ensure the transmission of the air flow disturbance signal while maintaining the balance of internal and external air pressure.
- the mass production range of the sensing component 3 can take into account human bodies of different weights and adjust the air volume. Take the conduction mechanism 5 with the function of slowing air leakage as an example for description. As shown in FIGS. 6, 7 and 8, the conduction mechanism 5 includes a transmission tube 52 and a pressure regulating piece 51.
- the transmission tube 52 is connected to the communication tube 24 provided on the airbag 2 through the first airway 53 to realize the communication between the transmission tube 52 and the airbag 2; the other end is connected to a second airway 54 which is connected to the sensor.
- the sensing component 3 is arranged in cooperation, that is, the gas outlet end of the second air duct 54 is arranged opposite to the sensing component 3, and is used to conduct the gas disturbance to the sensing component 3.
- the transmission pipe 52 is provided with a pressure regulating port, the pressure regulating piece 51 is arranged in cooperation with the pressure regulating port, the pressure regulating piece 51 and the transmission pipe 52 are detachably connected, and the pressure regulating piece 51 is provided with a plurality of connections to the outside ⁇
- the transmission tube 52 is connected with a slot structure 55 extending outward at a position corresponding to the pressure regulating port, and the pressure regulating piece 51 and the transmission tube 52 are connected by the slot structure 55.
- the pressure regulating sheet 51 is a plastic with micropores, which is formed by sintering plastic particles.
- the operating mode of the pressure-regulating piece 51 is a passive pressure-regulating method.
- the micro-channels on the pressure-regulating piece 51 can slowly change the internal and external pressures, so that the internal and external pressures are balanced. If the internal airflow pressure increases, the external pressure is higher.
- the airflow will flow outwards to achieve the effect of pressure regulation; if the internal airflow pressure drops and the external pressure is higher than the internal pressure, the airflow will flow inward to achieve the effect of pressure regulation.
- the pressure is the natural atmospheric pressure. This slow air leakage arrangement of the conductive structure is beneficial to avoid the situation that the signal change generated when someone sits on it at the beginning is too large, which causes the sensing component 3 to saturate.
- the seat body 1 is also equipped with an adjustment system 7 for changing seat parameters.
- the adjustment system 7 is electrically connected to the micro-control unit 4 to receive the seat parameter adjustment signal sent by the micro-control unit. Seat parameter adjustment signal to make corresponding adjustments.
- the adjustment system 7 includes a back heating device 71, a back ventilation device 72, a massage device 73, a seat cushion heating device 74, a lumbar support device 75, a shoulder support device 76, a side support device 77, a hardness adjustment device 78, etc., as shown in Figure 10 Show.
- users can also add other adjustment devices according to their own needs. Since the adjustment devices mentioned in this embodiment are all existing technologies, they will not be repeated here.
- the adjustment system is electrically connected to the micro-control unit 4, and the micro-control unit 4 changes the seat parameters by sending out seat parameter adjustment signals.
- the seat parameters include seat height, seat angle, headrest height, seat front and rear position, lumbar support height and softness, seat temperature, seat ventilation, etc.
- the adjustment of various seat parameters can automatically correspond to different biological signals, and the biological signals are used as the basis for the automatic control and adjustment system. For example, the adjustment of seat height and seat angle needs to be adjusted adaptively based on the user's height signal, weight signal, and body shape signal, while the detection of height signal, weight signal and body shape signal needs to be completed with the help of a comparison database.
- the back heating device 71, the back ventilation device 72, the massage device 73, the seat cushion heating device 74, the lumbar support device 75, the shoulder support device 76, the side wing support device 77, the hardness adjustment device 78, etc. disclosed in this embodiment may also be used. In the absence of a seat parameter adjustment signal, manual adjustment is performed by the driver, and there is no restriction here.
- the sensing assembly 3 includes a sensor 31 and an amplifier 32, and the sensor 31 is used to generate an analog electric signal corresponding to the gas disturbance.
- the amplifier 32 is actually an amplifying circuit, which is used to amplify the weak analog electrical signal collected by the sensor 31.
- the amplifier 32 can be selected as TI's LM833 component, and the sensor 31 can be selected as the pressure sensor of MXP2010.
- the pressure sensor can generate the corresponding analog voltage signal according to the pneumatic signal of the gas.
- the principle of collection is to use a piezoelectric film, and the film will generate electric current when the film is stressed. Therefore, the change of the air flow can be converted into an electrical signal.
- the micro-control unit 4 includes an analog-to-digital converter 41 and an arithmetic unit 42.
- the analog-to-digital converter 41 is used to convert the amplified analog electrical signal into a digital signal
- the arithmetic unit 42 is used to analyze and calculate the digital signal to analyze Biological signal. Only when the analog-to-digital converter 41 and the arithmetic unit 42 are combined can complete the analysis of the signal.
- the micro-control unit 4 may use a Microchip dsPIC33 series processor or an NXP 32K144 series processor. Both series of micro-processors contain an arithmetic unit 42 and an analog-to-digital converter 41.
- the analog-to-digital converter 41 can also be independently arranged outside the micro-control unit 4, and can be connected to the micro-control unit 4 using additional components.
- the air flu detection seat disclosed in this embodiment has a wide range of application values. It can be installed not only on automobiles, but also on motorcycles, airplanes, boats, and even wheelchairs. It only needs to turn on the sensing components in time after the vehicle is pneumatic. 3
- the detection of biological signals can be realized by transmitting gas disturbance signals.
- the air flu detection seat disclosed in this embodiment collects biological signals based on the gas flow changes in the airbag 2 arranged inside the seat body 1.
- the airbag 2 is provided with a support structure 21 for expanding the airbag, which can always maintain the airbag 2 contains appropriate gas inside, so that the airbag 2 does not need to be inflated with an air pump, and has a simple structure and convenient use.
- the conduction mechanism 5 adopts a non-sealed design, which maintains the tiny holes connected to the outside, and effectively avoids the defect of signal saturation or damage of the sensing component 3 caused by excessive pressure.
- the seat body 1 realizes the interference-free combination of the monitoring system for biological signal detection and the adjustment system, simplifies the installation structure, reduces the difficulty of production and maintenance, and helps to improve the reliability of the seat body.
- this embodiment discloses a smart seat adjustment method. Based on the air flu test seat in Embodiment 1, the method specifically includes the following steps:
- the gas turbulence inside the airbag 2 is monitored by the sensing component 3, and an analog electrical signal corresponding to the gas turbulence is generated.
- the detection of the user's breathing signal and heartbeat signal is taken as an example for description.
- the breathing and heartbeat of the human body will directly affect the pressure of the airbag 2 arranged in the seat cushion 12 and the backrest 11.
- the pressure of the airbag 2 changes, the gas inside the airbag 2 A slight change will inevitably occur, and since the airbag 2 is arranged with the sensing assembly 3 through the conductive structure 5, the conductive structure 5 will respond to the change in the airflow inside the airbag 2 to the pressure sensor in the sensing assembly 3 in real time.
- the piezoelectric film in the pressure sensor is impacted by the airflow to generate a corresponding current, which in turn realizes the conversion of the pneumatic signal into an analog electrical signal, as shown in Figure 13.
- the analog electrical signal converted by the pressure sensor is relatively weak. Therefore, it is necessary to use an amplifier circuit to amplify the analog electrical signal to improve subsequent calculation accuracy.
- pneumatic signals are analog signals and are continuous
- the converted analog electrical signals are also continuous.
- the digital calculator can only process discrete signals. Therefore, before analyzing and calculating the signal, the analog-to-digital converter 41 must be used to convert the continuous analog electrical signal into a quantized bit signal to obtain the original data signal. As shown in the top image in Figure 14.
- the detection method for the heart rate frequency band and breathing frequency band is by passing the signal through a band-pass filter.
- the frequency band can be appropriately adjusted to include the required physiological signal.
- the signal can be found within a period of time. Extreme value, and then analyze the distance between adjacent extreme values, you can find the extreme value represented by the frequency of heartbeat and respiration, and then process to remove the abnormal extreme value points, make statistics, and finally calculate the statistical value or the calculation process
- the relevant information is output to the output unit.
- the frequency of the heartbeat signal is between 1Hz-8Hz
- the frequency of the respiration signal is between 0.1-0.6Hz.
- the digital signal is processed by the band-pass filter to extract the sample signal.
- the original data signal is processed through an appropriate band-pass filter to extract the sample signal.
- the heart rate signal frequency is set to 0.8-20Hz, which is obtained by counting the range of human heartbeat vibration frequency; the frequency of the breathing signal is set to 0.1-0.6Hz, and the frequency of the breathing signal is calculated through statistics Derived from the range of human respiratory frequency.
- the frequency band of the band-pass filter can be adjusted appropriately during use, so that it can contain the required biological signals.
- a 6th-order Butterworth filter is selected for the band-pass filter.
- Short-term extreme value detection is to take a signal within a short period of time, such as 0.5 seconds, and then find the extreme value within 0.5 seconds, where the extreme value can be the maximum or minimum value, that is, to obtain the peak or valley of the waveform , And then there will be continuous displacement in a short period of time, and then to find the extreme value in the next period of time, and so on and so on, until all the crests or troughs can be found.
- the heartbeat is between 50 and 120 beats per minute, which means that the two extremes must be between 0.5 and 2 seconds to be a heartbeat signal.
- the breathing is about 10 to 20 beats per minute, that is, the two extremes need to be between 3 seconds and 6 seconds to be a breathing signal.
- the extreme value represented by the heartbeat and respiration frequency can be found by analyzing the extreme distance, and the unnecessary extreme points can be removed through post-processing.
- the post-processing can use 5 pairs of extreme value distances to take the median, or add the ratio of the absolute value difference of the filtered data not to exceed 60%.
- the finally obtained signal of the heartbeat frequency band and the signal of the respiratory frequency band are as shown in FIG. 14, the middle image of FIG. 14 is the signal diagram of the heartbeat frequency band, and the bottom image of FIG. 14 is the signal diagram of the respiratory frequency band.
- FIG. 15 shows the aerodynamic signal when the engine is started.
- the aerodynamic signal in the upper figure and the three sub-figures below are the xyz axis signals of the acceleration sensor. It can be seen that the vibration of the engine will cause the signal to contain high-frequency vibration signals exceeding 10Hz.
- the vibration signal of the engine is a kind of interference. After using the filter, such interference signals can be filtered out.
- FIG. 16 shows the heartbeat signal after post-processing.
- ref is the heartbeat frequency obtained using the electrocardiogram
- org is the heartbeat frequency that has not been post-processed
- post is the heartbeat flat filter that has been post-processed. It can be seen that the heartbeat frequency after the post-processing has a higher degree of agreement with the heartbeat frequency obtained by using the electrocardiogram.
- the algorithm model can be analyzed not only in time, but also in frequency band. If the signal is subjected to Fourier transform, the time of Fourier transform can be 5 seconds to 10 seconds, and then to find the extreme value of the signal in the heartbeat frequency band, the detection result also has high accuracy, which is very close to the frequency of the heartbeat. Relevance.
- the basal projection analysis process can obtain physiological signal characteristics related to frequency.
- signal analysis projections such as wavelet transform time-frequency analysis, short-time Fourier transform analysis, and Hilbert yellow transform analysis can also be used. And other analytical skills. Since the algorithm models mentioned above are all existing technologies, they will not be repeated here.
- the section with the stronger physiological signal range of the airflow is set to be human, and the weak section is set to no one.
- the algorithm flow used to determine whether someone is sitting on a chair is shown in Figure 18. Then, further analyze the crop signal for a section with object signal.
- the value of the time point exceeding the threshold value can be counted and the statistical value can be recorded for a period of time.
- the time beyond the threshold is judged first, the value within a certain range of the time is counted, and the statistical value is recorded, and then the statistical value is compared with the previous statistical value to realize unsupervised learning classification, which is divided into several clusters. Class, as shown in Figure 19.
- the classification method can also use other existing calculation methods, as long as the classification purpose can be achieved, and there is no limitation here.
- the micro-control unit 4 adjusts the seat parameters according to the biological signal
- the biological signals obtained in step 04 are divided into several categories and transmitted to the micro-control unit.
- the micro-control unit 4 adjusts the comfort of the seat body 1 based on the various biological signals. During the adjustment process, the micro-control unit 4 needs to analyze various biological signals, and then send the corresponding adjustment instructions to the adjustment system 7.
- the adjustment system 7 completes the lumbar support adjustment, seat height adjustment, seat angle adjustment, and seat adjustment. Before and after adjustment, massage, etc.
- the adjustment system 7 in this embodiment includes a back heating device 71, a back ventilation device 72, a massage device 73, a seat cushion heating device 74, a lumbar support device 75, a shoulder support device 76, a side wing support device 77, and a hardness adjustment device. 78 and so on.
- the adjustment method of the adjustment system 7 is to first record the result of the original manual adjustment. For example, after the seat height is adjusted, record the biological signal characteristic value of the seat height.
- the biological signal characteristic value can be the time difference after sitting up and reaching a stable state. , And the average value of the characteristic value of the biological signal that reached the stable state, and the signal change value of the two stable states. Using this statistical value, we can correspond to the result of manual adjustment, so that we can use the obtained biological signal to Corresponding to the adjustment of various parts, each of which can be automatically adjusted to different categories.
- the micro-control unit 4 can record various parameters corresponding to users of different heights, different body types, and different weights, which is equivalent to establishing a database between height, body type, weight, and seat parameters.
- the micro-control unit 4 can directly find the matching seat parameter in the database, and then adjust it according to the found seat parameter.
- the system sends adjustment instructions, and the adjustment system completes the adjustment of various seat parameters.
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Aviation & Aerospace Engineering (AREA)
- Transportation (AREA)
- Health & Medical Sciences (AREA)
- Cardiology (AREA)
- General Health & Medical Sciences (AREA)
- Heart & Thoracic Surgery (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
- Seats For Vehicles (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
Description
Claims (11)
- 一种气流感测座椅,其特征在于,包括座椅本体(1)、气囊(2)、感测组件(3)及微控制单元(4);所述气囊(2)设置在座椅本体(1)内部,气囊(2)内部设有可变形的支撑结构(21),所述支撑结构(21)用于使气囊(2)内保持有适量气体,所述气囊(2)与所述感测组件(3)之间设置有传导机构(5),所述传导机构(5)用于将气囊(2)内部的气体扰动传导至感测组件(3),所述感测组件(3)用于根据气体扰动产生相对应的模拟电信号,所述感测组件(3)与微控制单元(4)电连接,所述感测组件(3)将模拟电信号传输至微控制单元(4),所述微控制单元(4)用于对模拟电信号进行分析运算以获取用户的生物讯号。
- 如权利要求1所述一种气流感测座椅,其特征在于,所述气囊(2)包括第一气囊层(22)和第二气囊层(23),第二气囊层(23)与第一气囊层(22)的边缘密封连接以形成袋状结构,所述第一气囊层(22)与所述第二气囊层(23)之间设置有可变形的支撑结构(21),所述气囊(2)上开设有连接口,连接口与传导机构(5)密封连接。
- 如权利要求2所述一种气流感测座椅,其特征在于,所述支撑结构(21)为聚合物材料、三明治网布、棉花、海绵或不织布。
- 如权利要求2所述一种气流感测座椅,其特征在于,所述第一气囊层(22)和第二气囊层(23)均由柔软且不透气的聚合物材料制成。
- 如权利要求1所述一种气流感测座椅,其特征在于,所述传导机构(5)包括传输管(52)及调压片(51),所述传输管(52)一端与气囊(2)相连通,另一端与感测组件(3)配合设置,所述传输管(52)上开设有调压口,所述调压片(51)可拆卸的设置在调压口上,且所述调压片(51)上设有若干与外界导通的微孔道。
- 如权利要求1所述一种气流感测座椅,其特征在于,还包括输出单元(6),所述输出单元(6)为无线通信网路、整车通讯电路、控制器区域网、串型数据通讯协议、以太网络、显示单元、光线或声音指示器、发声单元或内存。
- 如权利要求1所述一种气流感测座椅,其特征在于,所述座椅本体(1)还配设有用于改变座椅参数的调节系统,所述调节系统与微控制单元(4)电连接,以接收所述微控制单元发出的座椅参数调节讯号。
- 如权利要求7所述一种气流感测座椅,其特征在于,所述座椅参数包括座椅高度、座椅角度、头枕高度、座椅前后位置、腰托高度、座椅温度、座椅通风性中的一种或多种。
- 如权利要求1所述一种气流感测座椅,其特征在于,所述感测组件(3)包括传感器(31)与放大器(32),所述传感器(31)用于产生与气体扰动相对应的模拟电信号,所述放大器 (32)用于放大模拟电信号;所述微控制单元(4)包括模数转换器(41)和运算单元(42),所述模数转换器(41)用于将经过放大处理的模拟电信号转换为数字信号,所述运算单元(42)用于对数字信号进行分析运算以获取生物讯号。
- 一种智能座椅调节方法,基于权利要求1-9任一项所述的一种气流感测座椅,其特征在于,包括如下步骤:通过感测组件(3)监测气囊(2)内部的气体扰动,并产生与气体扰动相对应的模拟电信号;对模拟电信号进行放大处理;将经过放大处理的模拟电信号转化为数字信号;对数字信号进行分析运算以获取生物讯号;微控制单元(4)根据生物讯号调节座椅参数。
- 如权利要求10所述一种智能座椅调节方法,其特征在于,所述对数字信号进行分析运算以获取生物讯号包括如下子步骤:根据生物讯号的特征,利用带通滤波器对数字信号进行处理,提取样品信号;滤除样品信号中的干扰信号,获取生物讯号。
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KR1020227011940A KR20220061208A (ko) | 2019-10-08 | 2019-12-27 | 기류 감지 시트 |
US17/766,750 US20240092226A1 (en) | 2019-10-08 | 2019-12-27 | Airflow sensing seat |
DE112019007794.5T DE112019007794T5 (de) | 2019-10-08 | 2019-12-27 | Sitz zur Erfassung von Luftstrom |
JP2022521376A JP7291294B2 (ja) | 2019-10-08 | 2019-12-27 | 気流感知シート |
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2001013767A1 (en) * | 1999-08-20 | 2001-03-01 | Mccord Winn Textron Inc. | Vehicle impact responsive multiple bladder seating and headrest system and method |
CN101439688A (zh) * | 2007-11-22 | 2009-05-27 | 乃群企业股份有限公司 | 座椅调整方法及系统 |
DE102009021532A1 (de) * | 2009-05-15 | 2010-11-18 | Nitring Enterprise Inc. | Verstellverfahren und Verstellsystem für einen Stuhl |
CN108638930A (zh) * | 2018-05-14 | 2018-10-12 | 太原科技大学 | 一种车用气囊型可变形座椅 |
CN108928282A (zh) * | 2017-05-24 | 2018-12-04 | 艾福迈精密部件公司 | 用于调节座椅轮廓的装置和具有这种装置的座椅 |
CN109606221A (zh) * | 2018-11-14 | 2019-04-12 | 吉林大学珠海学院 | 一种可调座椅及其调整方法 |
US20190126799A1 (en) * | 2017-11-02 | 2019-05-02 | Ford Global Technologies, Llc | Valve modules for inflatable seats |
Family Cites Families (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP5044230B2 (ja) * | 2007-02-14 | 2012-10-10 | 株式会社デルタツーリング | 生体信号分析装置、シート及び生体信号分析方法 |
US9020705B2 (en) * | 2008-08-19 | 2015-04-28 | Delta Tooling Co., Ltd. | Biological signal measuring device and biological state analyzing system |
JP5679541B2 (ja) * | 2010-01-26 | 2015-03-04 | 株式会社デルタツーリング | 生体信号検出装置 |
TW201136784A (en) * | 2010-04-21 | 2011-11-01 | Hon Hai Prec Ind Co Ltd | Automobile seat system |
CN102293541A (zh) * | 2010-06-23 | 2011-12-28 | 许汉忠 | 座椅的主动支撑装置及其方法 |
DE112013003595T5 (de) | 2012-07-17 | 2015-04-30 | Flextronics Ap, Llc | Fahrzeugklimaregelung |
CN204033315U (zh) * | 2013-11-05 | 2014-12-24 | 深圳市视聆科技开发有限公司 | 非接触生理或周期性作用力信号采集装置及垫子 |
CN106068097B (zh) * | 2014-02-20 | 2020-09-29 | 佛吉亚汽车座椅有限责任公司 | 整合有传感器的车辆座椅 |
CN106994928A (zh) * | 2017-04-26 | 2017-08-01 | 宁波拓普智能刹车系统有限公司 | 一种汽车座椅腰托智能控制调节系统 |
CN107599919A (zh) * | 2017-09-04 | 2018-01-19 | 中国第汽车股份有限公司 | 一种自适应汽车座椅 |
DE102018103396A1 (de) * | 2018-02-15 | 2019-08-22 | Ipetronik Gmbh & Co. Kg | Verfahren zur Erfassung der Herzfrequenz für ein Fahrzeug bzw. von Fahrzeuginsassen |
CN211166592U (zh) * | 2019-10-08 | 2020-08-04 | 惠州市唐群座椅科技股份有限公司 | 一种气流感测座椅 |
-
2019
- 2019-10-08 CN CN201910947952.7A patent/CN110641336A/zh active Pending
- 2019-12-27 WO PCT/CN2019/128942 patent/WO2021068419A1/zh active Application Filing
- 2019-12-27 KR KR1020227011940A patent/KR20220061208A/ko not_active Application Discontinuation
- 2019-12-27 DE DE112019007794.5T patent/DE112019007794T5/de active Pending
- 2019-12-27 US US17/766,750 patent/US20240092226A1/en active Pending
- 2019-12-27 JP JP2022521376A patent/JP7291294B2/ja active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2001013767A1 (en) * | 1999-08-20 | 2001-03-01 | Mccord Winn Textron Inc. | Vehicle impact responsive multiple bladder seating and headrest system and method |
CN101439688A (zh) * | 2007-11-22 | 2009-05-27 | 乃群企业股份有限公司 | 座椅调整方法及系统 |
DE102009021532A1 (de) * | 2009-05-15 | 2010-11-18 | Nitring Enterprise Inc. | Verstellverfahren und Verstellsystem für einen Stuhl |
CN108928282A (zh) * | 2017-05-24 | 2018-12-04 | 艾福迈精密部件公司 | 用于调节座椅轮廓的装置和具有这种装置的座椅 |
US20190126799A1 (en) * | 2017-11-02 | 2019-05-02 | Ford Global Technologies, Llc | Valve modules for inflatable seats |
CN108638930A (zh) * | 2018-05-14 | 2018-10-12 | 太原科技大学 | 一种车用气囊型可变形座椅 |
CN109606221A (zh) * | 2018-11-14 | 2019-04-12 | 吉林大学珠海学院 | 一种可调座椅及其调整方法 |
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