CN113827083A - Automatic control method of intelligent pillow based on big data - Google Patents

Automatic control method of intelligent pillow based on big data Download PDF

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Publication number
CN113827083A
CN113827083A CN202111085272.2A CN202111085272A CN113827083A CN 113827083 A CN113827083 A CN 113827083A CN 202111085272 A CN202111085272 A CN 202111085272A CN 113827083 A CN113827083 A CN 113827083A
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CN
China
Prior art keywords
air
air bag
weight
lying
processor
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Pending
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CN202111085272.2A
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Chinese (zh)
Inventor
刘瑜
赵绪隆
黄鑫
任佳
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Zhejiang Sci Tech University ZSTU
Zhejiang University of Science and Technology ZUST
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Zhejiang Sci Tech University ZSTU
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Priority to CN202111085272.2A priority Critical patent/CN113827083A/en
Publication of CN113827083A publication Critical patent/CN113827083A/en
Pending legal-status Critical Current

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    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47G—HOUSEHOLD OR TABLE EQUIPMENT
    • A47G9/00—Bed-covers; Counterpanes; Travelling rugs; Sleeping rugs; Sleeping bags; Pillows
    • A47G9/10—Pillows
    • A47G9/1027—Details of inflatable pillows
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47G—HOUSEHOLD OR TABLE EQUIPMENT
    • A47G9/00—Bed-covers; Counterpanes; Travelling rugs; Sleeping rugs; Sleeping bags; Pillows
    • A47G9/10—Pillows
    • A47G2009/1018—Foam pillows
    • A—HUMAN NECESSITIES
    • A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
    • A47G—HOUSEHOLD OR TABLE EQUIPMENT
    • A47G2200/00—Details not otherwise provided for in A47G
    • A47G2200/22—Weight
    • A47G2200/226—Weight sensor

Abstract

The invention discloses an automatic control method of an intelligent pillow based on big data, which comprises a bottom plate, wherein a weighing sensor is arranged on the upper part of the bottom plate, an air bag is arranged on the upper part of the weighing sensor, sponge is arranged on the upper part of the air bag, the air bag is connected with an air inlet valve and an air pressure transmitter through a Y-shaped air pipe, the air inlet valve is connected with an inflator pump through an air pipe, the weighing sensor, the air pressure transmitter, the air inlet valve and the inflator pump are connected with a control circuit, and the control circuit is provided with a processor and is used for realizing the automatic control method based on the big data and comprises the following steps: (1) establishing a large database: the weight g of a plurality of users lying down and lying on their sides in the state that the air bags are not inflated is collectedi L1And gi L2Collecting the pressure p in the inflated stateiWeight g in lying on side and lying on backi H2And gi H1(ii) a (2) User data learning: according to the weight G of lying and lying on side of the airbag in the uninflated stateL1And GL2Matching the data with the sequence number k of the large database; (3) the automatic control process comprises the following steps: according to the weight collected by the processorAmount gLAnd judging the sleeping posture of the user and controlling the air bag inflation and deflation.

Description

Automatic control method of intelligent pillow based on big data
Technical Field
The patent relates to the field of intelligent home furnishing, in particular to an automatic control method of an intelligent pillow based on big data.
Background
The 'high pillow without worry' is used for comparing with the body and mind for ease without worry, and the 'high pillow without worry' is a pillow which is lifted up, so that people can sleep without worry and worry. Therefore, the pillow in ancient times is very high and hard, is suitable for lying on one side, and influences the health of the cervical vertebra under the condition of lying on one side. The existing pillow is soft and low in height, is suitable for lying on the back, and under the condition of lying on the side, the head cannot be supported or the shoulders cannot be laid flat, so that the sleeping posture is uncomfortable, and the sleeping quality is influenced.
This patent is hereby developed.
Disclosure of Invention
In order to solve the problems, the patent provides an automatic control method of an intelligent pillow based on big data, which can automatically identify the sleeping posture of a user and adjust the height of the pillow to achieve the optimal comfort level under the support of a large amount of user data.
The technical scheme adopted by the patent for solving the technical problem is as follows:
an automatic control method of an intelligent pillow based on big data, the intelligent pillow comprises a bottom plate for supporting, a weighing sensor is arranged on the upper portion of the bottom plate, an air bag is arranged on the upper portion of the weighing sensor, a sponge for supporting the head is arranged on the upper portion of the air bag, a pillow cover is wrapped outside the bottom plate, the weighing sensor, the air bag and the sponge, the air bag is connected with an air inlet valve and an air pressure transducer through a Y-shaped air pipe, the air inlet valve is connected with an inflator pump through an air pipe, the weighing sensor, the air pressure transducer, the air inlet valve and an inflator pump connection controller are arranged, a processor for performing centralized control is arranged on the controller, and a weighing signal processing circuit, an inflator pump controller and an air inlet valve controller are connected with the processor, the weighing signal processing circuit is connected with the weighing sensor, and the inflator pump controller is connected with the inflator pump, the intake valve controller is connected with the intake valve, the processor is used for realizing an automatic control method based on big data, and the automatic control method comprises the following steps:
(1) building a large database:
(1-1) collecting weight g of a plurality of users who lie down with the airbag in an uninflated statei L1And the weight when lying on side is gi L2Wherein i 1, 2, 3, and then lying on the user's sideUnder the condition that the air bag is inflated and stops at the comfortable position of a user, the air pressure p in the air bag is collectediAnd a weight of gi H2Then lie down, the processor collects the weight gi H1；
(1-2) data merging: if | gi L1-gj L1| g while | less than δi L2-gj L2If | is less than δ, then gi L1＝(gi L1+gj L1)/2，gi L2＝(gi L2+gj L2)/2，gi H1＝(gi H1+gj H1)/2，gi H2＝(gi H2+gj H2)/2，pi＝(pi+pj) Deleting a data item with a sequence number j, wherein j is 1, 2, 3, j is not equal to i, and delta is a merging threshold;
(2) user data learning: the weight collected by the processor is G when the user is lying down under the state that the air bag is not inflatedL1Then lying on one side, the processor collects the weight GL2(ii) a In the big database, the data with the highest matching degree is searched, namely (G)L1-gk L1)2+(GL2-gk L2)2Minimum, where k is 1, 2, 3;
(3) the automatic control process comprises the following steps:
(3-1) in the uninflated state of the airbag, the weight collected by the processor is gLIf | gL-gk L1|＜|gL-gk L2Keeping the state of the air bag unchanged; if | gL-gk L1|＞|gL-gk L2If the pressure is lower than the preset value, the air bag starts to inflate until the air pressure value pk；
(3-2) in the state that the air bag is inflated, the weight collected by the processor is gHIf | gH-gk H1|＜|gH-gk H2If yes, the air bag starts to deflate until the air pressure value is atmospheric pressure; if | gH-gk H1|＞|gH-gk H2And keeping the state of the air bag unchanged.
In step (1), users of different age groups, different sexes and without weight are selected.
The beneficial effect of this patent mainly shows: 1. the sleeping posture of the user is automatically identified, and the height of the pillow is adjusted to achieve the optimal comfort level; 2. under the support of a large amount of user data, the learning of the sleeping posture data of a single user can be reduced to the maximum extent, and the operation process in the initial stage is simplified.
Drawings
FIG. 1 is a schematic structural view of the present invention;
fig. 2 is a control schematic block diagram of the present invention.
Detailed Description
This patent is further described below with reference to the accompanying drawings:
as shown in fig. 1-2, the automatic control method of the intelligent pillow based on big data comprises a bottom plate 1 for supporting, a weighing sensor 3 is arranged on the upper portion of the bottom plate 1, an air bag 4 is arranged on the upper portion of the weighing sensor 3, a sponge 2 for supporting the head is arranged on the upper portion of the air bag 4, and a pillow case 5 is wrapped outside the bottom plate 1, the weighing sensor 3, the air bag 4 and the sponge 2. The weighing sensor 3 is used for measuring the weight of the head applied on the intelligent pillow. Preferably, the weighing sensor 3 is provided with four strain sensors connected in series, the four strain sensors are uniformly distributed at four corners of the bottom plate 1, and a support plate is arranged above the strain sensors.
The height of the intelligent pillow is changed by inflating or deflating the air bag 4, and the optimal support for the head and the neck is realized. In order to realize inflation and deflation, the air bag 4 is connected with an air inlet valve 7 and an air pressure transmitter 9 through a Y-shaped air pipe, and the air inlet valve 7 is connected with an inflator 8 through an air pipe. When the air inlet valve 7 is opened and the inflator 8 works, the air bag 4 is inflated; when the air inlet valve 7 is opened and the inflator 8 is not operated, the air bag 4 is deflated. The air pressure transmitter 9 is used for measuring the air pressure value in the air bag 4 and is in direct proportion to the height of the intelligent pillow. Preferably, the XGZP6847A module is used as the air pressure transmitter 9. The module has small volume, comprises a sensor for detecting air pressure and a signal processing circuit chip, has the range of 0-40Kpa, and outputs a linear relation between a voltage value and the air pressure value.
Weighing sensor 3, pneumatic transducer 9, admission valve 7 and inflator pump 8 connection director 6, controller 6 set up the treater that carries out centralized control, and with the weighing signal processing circuit, inflator pump controller and admission valve controller that the treater is connected. The weighing signal processing circuit is connected with the weighing sensor 3, amplifies and filters a strain signal output by the weighing sensor 3, and outputs the amplified and filtered strain signal to the processor, so that the weight of the head of a user on the intelligent pillow is obtained; the inflator controller is connected with the inflator 8, the air inlet valve controller is connected with the air inlet valve 7, and the processor can perform start/stop control of the inflator 8 and open/close control of the air inlet valve 7; the processor reads the voltage output value of the air pressure transmitter 9 to obtain the air pressure value in the air bag 4.
The processor is used for realizing an automatic control method based on big data, and the automatic control method comprises the following steps:
(1) building a large database:
the large database stores a large number of weight collected by the processor when the user lies down and lies on his side in the uninflated state of the airbag 4, which represents the head weight and shoulder height of the user and can describe the characteristics of the head and shoulders of the user. Therefore, in step (1), users of different age groups, different sexes and without weight should be selected.
(1-1) collecting weight g of a plurality of users who lie down with the airbag 4 in an uninflated statei L1And a weight when lying on side ofgi L2Wherein i 1, 2, 3, then the air bag 4 is inflated with the user lying on his side, stopped in the comfortable position of the user, and the air pressure p inside the air bag 4 is collectediAnd a weight of gi H2Then lie down, the processor collects the weight gi H1；
Weight gi L1And gi L2Is characterized by the shoulders of the user and has gi L1＞gi L2The inevitable characteristics of (a). At the same time the gas pressure piComfortable pillow height for the user, weight gi H1And gi H2For determining the sleeping position of the user when the air bag 4 is inflated, and also has gi H1＞gi H2The inevitable characteristics of (a).
(1-2) data merging: if | gi L1-gj L1| g while | less than δi L2-gj L2If | is less than δ, then gi L1＝(gi L1+gj L1)/2，gi L2＝(gi L2+gj L2)/2，gi H1＝(gi H1+gj H1)/2，gi H2＝(gi H2+gj H2)/2，pi＝(pi+pj) Deleting a data item with a sequence number j, wherein j is 1, 2, 3, j is not equal to i, and delta is a merging threshold;
for storage convenience, the close data are merged.
(2) User data learning: the weight collected by the processor is G when the user is lying down in the state that the air bag 4 is not inflatedL1Then lying on one side, the processor collects the weight GL2(ii) a In the big database, the data with the highest matching degree is searched, namely (G)L1-gk L1)2+(GL2-gk L2)2Minimum, where k is 1, 2, 3;
and (2) when the user of the intelligent pillow uses the intelligent pillow for the first time, the intelligent pillow needs to learn parameters. The processor only needs to collect the weight G of the user lying down when the airbag 4 is not inflatedL1And weight G when lying on sideL2Then, searching the data with the highest matching degree in the large database.
(3) The automatic control process comprises the following steps:
step (3) is a process of actual use.
(3-1) in the uninflated state of the airbag 4, the weight collected by the processor is gLIf | gL-gk L1|＜|gL-gk L2Keeping the state of the air bag 4 unchanged; if | gL-gk L1|＞|gL-gk L2If the pressure is lower than the predetermined value, the air bag 4 starts to inflate until the air pressure value pk；
Judging the sleeping posture of the user in the uninflated state of the air bag 4 by adopting a minimum distance method, namely the weight gLDistance weight gk L1If the absolute value of (1) is small, the user lies down; weight gLDistance weight gk L2If the absolute value of (1) is small, the user lies on his side, the air bag 4 starts to inflate, and the target air pressure parameter is pkProviding comfortable support for the user.
(3-2) in the state that the air bag 4 is inflated, the weight collected by the processor is gHIf | gH-gk H1|＜|gH-gk H2If yes, the air bag 4 starts to deflate until the air pressure value is atmospheric pressure; if | gH-gk H1|＞|gH-gk H2And keeping the state of the air bag 4 unchanged.
In the state that the air bag 4 is inflated, the same method as the step (3-1) is adopted, and the parameter g is based onk H1And gk H2And judging the sleeping posture of the user. If the user lies flat, the air cells 4 begin to deflate, providing comfortable support for the user.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (2)

1. An automatic control method of an intelligent pillow based on big data, the intelligent pillow comprises a bottom plate for supporting, a weighing sensor is arranged on the upper portion of the bottom plate, an air bag is arranged on the upper portion of the weighing sensor, a sponge for supporting the head is arranged on the upper portion of the air bag, a pillow cover is wrapped outside the bottom plate, the weighing sensor, the air bag and the sponge, the air bag is connected with an air inlet valve and an air pressure transducer through a Y-shaped air pipe, the air inlet valve is connected with an inflator pump through an air pipe, the weighing sensor, the air pressure transducer, the air inlet valve and an inflator pump connection controller are arranged, a processor for performing centralized control is arranged on the controller, and a weighing signal processing circuit, an inflator pump controller and an air inlet valve controller are connected with the processor, the weighing signal processing circuit is connected with the weighing sensor, and the inflator pump controller is connected with the inflator pump, the air inlet valve controller is connected with the air inlet valve, and is characterized in that: the processor is used for realizing an automatic control method based on big data, and the automatic control method comprises the following steps:
(1) building a large database:
(1-1) collecting weight g of a plurality of users who lie down with the airbag in an uninflated statei L1And the weight when lying on side is gi L2Wherein i 1, 2, 3, then inflating the airbag with the user lying on his side, stopping at the user's comfortable position, and collecting the air pressure p inside the airbagiAnd a weight of gi H2Then lie down, the processor collects the weightThe amount is gi H1；
(1-2) data merging: if | gi L1-gj L1| g while | less than δi L2-gj L2If | is less than δ, then gi L1＝(gi L1+gj L1)/2，gi L2＝(gi L2+gj L2)/2，gi H1＝(gi H1+gj H1)/2，gi H2＝(gi H2+gj H2)/2，pi＝(pi+pj) Deleting a data item with a sequence number j, wherein j is 1, 2, 3, j is not equal to i, and delta is a merging threshold;
(2) user data learning: the weight collected by the processor is G when the user is lying down under the state that the air bag is not inflatedL1Then lying on one side, the processor collects the weight GL2(ii) a In the big database, the data with the highest matching degree is searched, namely (G)L1-gk L1)2+(GL2-gk L2)2Minimum, where k is 1, 2, 3;
(3) the automatic control process comprises the following steps:
(3-1) in the uninflated state of the airbag, the weight collected by the processor is gLIf | gL-gk L1|＜|gL-gk L2Keeping the state of the air bag unchanged; if | gL-gk L1|＞|gL-gk L2If the pressure is lower than the preset value, the air bag starts to inflate until the air pressure value pk；
(3-2) in the state that the air bag is inflated, the weight collected by the processor is gHIf | gH-gk H1|＜|gH-gk H2If yes, the air bag starts to deflate until the air pressure value is atmospheric pressure; if | gH-gk H1|＞|gH-gk H2If it is, then saidThe state of the air bag is unchanged.
2. The automatic control method of intelligent pillow based on big data according to claim 1, characterized in that: in step (1), users of different age groups, different sexes and without weight are selected.
CN202111085272.2A 2021-09-07 2021-09-07 Automatic control method of intelligent pillow based on big data Pending CN113827083A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111085272.2A CN113827083A (en) 2021-09-07 2021-09-07 Automatic control method of intelligent pillow based on big data

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111085272.2A CN113827083A (en) 2021-09-07 2021-09-07 Automatic control method of intelligent pillow based on big data

Publications (1)

Publication Number Publication Date
CN113827083A true CN113827083A (en) 2021-12-24

Family

ID=78959397

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111085272.2A Pending CN113827083A (en) 2021-09-07 2021-09-07 Automatic control method of intelligent pillow based on big data

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Country Link
CN (1) CN113827083A (en)

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