CN115268531A - Water flow temperature regulation control method, device, equipment and storage medium for intelligent bathtub - Google Patents

Water flow temperature regulation control method, device, equipment and storage medium for intelligent bathtub Download PDF

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CN115268531A
CN115268531A CN202210909428.2A CN202210909428A CN115268531A CN 115268531 A CN115268531 A CN 115268531A CN 202210909428 A CN202210909428 A CN 202210909428A CN 115268531 A CN115268531 A CN 115268531A
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blood pressure
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李在明
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Jiujiang Aipa Intelligent Technology Co ltd
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D23/00—Control of temperature
    • G05D23/19—Control of temperature characterised by the use of electric means
    • G05D23/20—Control of temperature characterised by the use of electric means with sensing elements having variation of electric or magnetic properties with change of temperature
    • 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
    • A47K3/00—Baths; Douches; Appurtenances therefor
    • A47K3/001—Accessories for baths, not provided for in other subgroups of group A47K3/00 ; Insertions, e.g. for babies; Tubs suspended or inserted in baths; Security or alarm devices; Protecting linings or coverings; Devices for cleaning or disinfecting baths; Bath insulation
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Abstract

The invention relates to an artificial intelligence technology, and discloses a water flow temperature regulation control method of an intelligent bathtub, which comprises the following steps: acquiring a blood pressure value and a heart rate value of a user, performing combined normalization processing on the blood pressure value and the heart rate value, performing fusion characteristic mapping analysis to obtain a target water temperature, and adjusting the water temperature; performing matrix matching analysis according to a preset figure picture of the user to obtain recuperation acupuncture points of the user; collecting the bathing position of the user through position coding, and carrying out water-washed acupoint massage on the user according to the bathing position and the recuperation acupoints; the facial expression of the user is obtained, the expression label of the user is analyzed, and then the massage strength is adjusted. In addition, the invention also relates to a block chain technology, and the user figure picture and the user facial expression can be stored in the nodes of the block chain. The invention also provides a water flow temperature adjusting control device of the intelligent bathtub, electronic equipment and a storage medium. The invention can improve the accuracy of temperature adjustment of water flow in the bathtub.

Description

Water flow temperature regulation control method, device, equipment and storage medium for intelligent bathtub
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a water flow temperature adjusting control method and device for an intelligent bathtub, electronic equipment and a computer readable storage medium.
Background
Along with the continuous development of science and technology, intelligent facility begins to go into thousands of families, for bring better bathing experience for the user, needs more intelligent bathtub rivers control method that adjusts temperature to in the rivers that promote intelligent bathtub precision of adjusting temperature.
The existing bathtub in the market is single in function mostly, and the water flow temperature adjusting mode is too rigid, so that the adjustment can not be made according to different users. For example, when the existing bathtub is used for bathing, the water flow temperature cannot be adjusted intelligently according to the feeling of a user, and the water flow cannot be adjusted for water flushing and pressing, while the existing massage bathtub in the market cannot find accurate acupuncture point information during massage, so that the comfort level of the massage is not high. The actual use feeling is not high, the function usage is single, and the control accuracy degree of the water flow temperature regulation is lower.
Disclosure of Invention
The invention provides a water flow temperature regulation control method and device of an intelligent bathtub and a computer readable storage medium, and mainly aims to solve the problem that the traditional bathtub has low control accuracy on water flow temperature regulation.
In order to achieve the purpose, the invention provides a water flow temperature regulation control method of an intelligent bathtub, which comprises the following steps:
the method comprises the steps that when a user takes a bath, the blood pressure value and the heart rate value of the user are obtained in real time, combined normalization processing is carried out on the blood pressure value and the heart rate value, fusion characteristic mapping analysis is carried out on the blood pressure data and the heart rate data after combined normalization to obtain target water temperature, and the bath water temperature of the user is adjusted according to the target water temperature;
according to a preset user figure picture, carrying out matrix matching analysis on the user figure picture to obtain the recuperation acupuncture points of the user;
collecting the bathing position of the user through position coding, and carrying out water-washed acupoint massage on the user according to the bathing position and the recuperation acupoints;
the method comprises the steps of obtaining facial expressions of a user, analyzing the facial expressions of the user through a pre-constructed decision tree model, analyzing user expression labels according to the facial expressions, and further adjusting massage force.
Optionally, the performing a joint normalization process on the blood pressure value and the heart rate value includes:
carrying out combined normalization processing on the blood pressure value and the heart rate value by using the following normalization functions to obtain normalization parameters:
Figure BDA0003773493470000021
Figure BDA0003773493470000022
wherein the content of the first and second substances,
Figure BDA0003773493470000023
represents a value corresponding to the blood pressure value a at the time i after normalization,
Figure BDA0003773493470000024
represents the value corresponding to the heart rate value b at the moment i after normalization, M represents the total number of the blood pressure values, N represents the total number of the heart rate values, i represents the moment i,
Figure BDA0003773493470000025
which represents the value of the blood pressure a at time i,
Figure BDA0003773493470000026
represents the heart rate value b, min (theta) at time ia) Represents the minimum value of the blood pressure values, min (θ)b) Representing the minimum of the heart rate values.
Optionally, the performing matrix matching analysis on the user figure picture to obtain the recuperation acupuncture points of the user includes:
converting a preset user figure picture into a pixel matrix;
performing convolution operation on the converted pixel matrix by using the following convolution algorithm to obtain an intermediate matrix:
Figure BDA0003773493470000027
b (i, j) is an intermediate matrix obtained through convolution calculation, K (m, n) is a preset convolution kernel matrix, A (i-m +1,j-n + 1) is an image input matrix for user figure image conversion, i is the row number of the intermediate matrix, j is the column number of the intermediate matrix, m is the row number of the convolution kernel matrix, and n is the column number of the convolution kernel matrix;
pooling the intermediate matrix, and calculating the matching degree between the pooled intermediate matrix and preset acupoint labels one by one;
and selecting the picture area corresponding to the middle matrix with the matching degree larger than the preset matching degree after the pooling treatment as the recuperation acupuncture points of the user.
Optionally, the collecting a bathing position of the user by using a position code includes:
acquiring each stress point of a user lying in a bathtub;
the position of each of the force points is position-coded using the following coding algorithm:
Figure BDA0003773493470000031
Figure BDA0003773493470000032
wherein PE (pos, 2 i) represents the position of the stress point of the bathtub, PE (pos, 2i + 1) represents the position of another different stress point of the bathtub, pos represents the stress area of the bathtub, 2i represents the ordinate of the position of the stress point of the bathtub, dmodelRepresenting a character encoding function;
the calculated position codes are regarded as position coordinates of the stress points;
and determining the stress point position of the user in a preset coordinate system according to the position coordinate, and performing point drawing on the position coordinate of each stress point to obtain the bathing position of the user.
Optionally, the analyzing facial expressions of the user through a pre-constructed decision tree model, and analyzing the expression labels of the user according to the facial expressions, so as to adjust the massage force, includes:
obtaining a pre-constructed decision tree model, wherein the mathematical expression of the decision tree model is as follows:
Figure BDA0003773493470000033
wherein g (x) is an output value of the decision tree, x is a parameter of the decision tree, and f (y) is an input value of the decision function; taking the facial expression of the user as an input value of the decision tree, and calculating and outputting an expression label of the facial expression of the user through the decision tree model;
when the expression label is alpha, gradually increasing the massage strength according to a first gradient;
when the expression label is gamma, gradually reducing the massage strength according to a second gradient;
and when the expression label is beta, the massage strength is unchanged.
Optionally, the obtaining a pre-constructed decision tree model includes:
extracting a plurality of characteristic expressions from a preset expression library, and compiling image data of the characteristic expressions into characteristic numbers;
sequentially selecting one expression from the characteristic expressions as a target expression, and compiling image data of the characteristic expression into a target number;
assigning a preset decision function by using the target number, and generating a decision tree by using the assigned decision function as a decision condition;
and collecting the decision trees corresponding to all the characteristic expressions as decision tree models.
Optionally, analyzing the user expression label according to the facial expression, and then adjusting the massage strength, includes:
analyzing the expression labels of the users according to the facial expressions by using the following force adjusting formula so as to adjust the massage force:
S(n)＝S(n-1)+q*rand()
wherein, S (n) represents the adjusted force, S (n-1) represents the current massage force, q represents the force adjustment coefficient, and rand represents the force adjustment range.
In order to solve the above problems, the present invention further provides a water flow temperature adjustment control device for an intelligent bathtub, the device comprising:
the numerical value processing module is used for acquiring a blood pressure numerical value and a heart rate numerical value of a user in real time when the user takes a bath, carrying out combined normalization processing on the blood pressure numerical value and the heart rate numerical value, carrying out fusion characteristic mapping analysis on the blood pressure data and the heart rate data after combined normalization to obtain a target water temperature, and adjusting the bath water temperature of the user according to the target water temperature;
the acupuncture point analysis module is used for carrying out matrix matching analysis on the user figure picture according to a preset user figure picture to obtain the recuperation acupuncture points of the user;
the acupuncture point massage module is used for collecting the bathing position of the user through position coding and carrying out water-washed acupuncture point massage on the user according to the bathing position and the recuperation acupuncture points;
the force adjusting module is used for acquiring the facial expression of the user, analyzing the facial expression of the user through a pre-constructed decision tree model, analyzing the facial expression label of the user according to the facial expression and further adjusting the massage force.
In order to solve the above problem, the present invention also provides an electronic device, including:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform a method of water flow tempering control for a smart bathtub as described above.
In order to solve the above problem, the present invention further provides a computer-readable storage medium, in which at least one computer program is stored, where the at least one computer program is executed by a processor in an electronic device to implement the water flow temperature adjustment control method for a smart bathtub.
According to the method, the heart rate and blood pressure values of the user are subjected to combined normalization processing, the blood pressure and heart rate data subjected to combined normalization processing are subjected to fusion characteristic mapping analysis to obtain the target water temperature, and the temperature of the user during bathing is adjusted according to the target water temperature; acquiring and analyzing figure pictures of users to obtain recuperation acupuncture points of different users, and performing water-flushing acupuncture point massage on the users according to the recuperation acupuncture points; the facial expression of the user is obtained, and the facial expression of the user is analyzed through the decision tree model, so that the water-jet massage strength is adjusted. Therefore, the water flow temperature adjusting control method and device for the intelligent bathtub, the electronic equipment and the computer readable storage medium provided by the invention can solve the problem of low accuracy when the water flow temperature of the intelligent bathtub is adjusted.
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Fig. 1 is a schematic flow chart of a water flow temperature adjustment control method for an intelligent bathtub according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of matrix matching analysis according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a collecting position according to an embodiment of the present invention;
FIG. 4 is a functional block diagram of a water flow temperature control device for an intelligent bathtub according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device for implementing the water flow temperature adjustment control method for an intelligent bathtub according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the invention.
The embodiment of the application provides a water flow temperature regulation control method for an intelligent bathtub. The execution subject of the water flow temperature regulation control method for the intelligent bathtub comprises but is not limited to at least one of electronic equipment such as a server, a terminal and the like which can be configured to execute the method provided by the embodiment of the application. In other words, the water flow temperature regulation control method for the intelligent bathtub can be executed by software or hardware installed in a terminal device or a server device, and the software can be a block chain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a Network service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), a big data and artificial intelligence platform, and the like.
Referring to fig. 1, a schematic flow chart of a water flow temperature adjustment control method for an intelligent bathtub according to an embodiment of the present invention is shown. In this embodiment, the water flow temperature adjustment control method for an intelligent bathtub includes:
s1, obtaining a blood pressure value and a heart rate value of a user in real time when the user takes a bath, carrying out combined normalization processing on the blood pressure value and the heart rate value, carrying out fusion characteristic mapping analysis according to the blood pressure data and the heart rate data after combined normalization to obtain a target water temperature, and adjusting the bath water temperature of the user according to the target water temperature;
in one practical application scene of the invention, the human body is damaged due to too high water temperature and too high water vapor density during bathing, and the syncope caused by bathing is frequently seen. Therefore, the embodiment of the invention can detect the blood pressure value and the heart rate value of the user in real time and correspondingly adjust the bathing water temperature of the user through the monitored values so as to avoid accidents caused by the influence of too long bathing time on the blood pressure value and the heart rate value of the user.
In the embodiment of the invention, the real-time monitoring of the blood pressure value and the heart rate value can be completed through the waterproof intelligent bracelet worn by the user during bathing.
In one practical application scenario of the present invention, since the blood pressure value and the heart rate value are different physical sign indicators of a human body, but the correlation between different indicator values is low, the embodiment of the present invention can perform a joint normalization process on the blood pressure value and the heart rate value to improve the correlation between the blood pressure value and the heart rate value.
In an embodiment of the present invention, the performing the joint normalization processing on the blood pressure value and the heart rate value includes:
carrying out combined normalization processing on the blood pressure value and the heart rate value by using the following normalization functions to obtain normalization parameters:
Figure BDA0003773493470000071
Figure BDA0003773493470000072
wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0003773493470000073
represents a value corresponding to the blood pressure value a at the time i after normalization,
Figure BDA0003773493470000074
represents the value corresponding to the heart rate value b at the moment i after normalization, M represents the total number of the blood pressure values, N represents the total number of the heart rate values, i represents the moment i,
Figure BDA0003773493470000075
which represents the value of the blood pressure a at time i,
Figure BDA0003773493470000076
representing the heart rate value b, min (theta) at time ia) Represents the minimum of the blood pressure values, min (θ)b) Representing the minimum of the heart rate values.
In detail, through the combined normalization processing, the consideration of the other numerical value is realized when any one numerical value of the blood pressure numerical value and the heart rate numerical value is normalized, so that the processed blood pressure and heart rate data are in the same numerical value range interval, the relevance of the blood pressure numerical value and the heart rate numerical value is improved, and the problem that the blood pressure numerical value and the heart rate numerical value are only mechanically zoomed to the same numerical value interval, but the relevance of the data is ignored is avoided.
Further, in order to realize the comprehensive analysis of the normalized heart rate data and the blood pressure data, the heart rate data and the blood pressure data can be analyzed by using a preset fusion feature mapping algorithm, so that the accuracy of the finally calculated target water temperature is improved.
In an embodiment of the present invention, performing fusion feature mapping analysis according to the blood pressure data and the heart rate data after the joint normalization to obtain a target water temperature includes:
calculating according to the blood pressure data and the heart rate data after the joint normalization by using the following fusion characteristic mapping algorithm to obtain a fusion characteristic value:
AdaIN(H，μ(X)，σ(X))＝σ(X)IN(H)+μ(X)
wherein AdaIN (H, μ (X), σ (X)) represents the fusion feature value, H represents the jointly normalized blood pressure data and heart rate data, μ (X) represents the mean function of the jointly normalized blood pressure data, σ (X) represents the standard deviation function of the jointly normalized heart rate data, and IN (H) represents the sum function of the jointly normalized blood pressure data and heart rate data;
and inquiring in a preset characteristic temperature table in a traversal mode to obtain the temperature which is in response to the fusion characteristic value and is the target water temperature.
In detail, the characteristic temperature table includes a plurality of temperatures and a corresponding characteristic value at each temperature.
Specifically, fusion feature mapping analysis is performed on the blood pressure data and the heart rate data after the combined normalization, so that comprehensive consideration of the blood pressure data and the heart rate data after the combined normalization is realized, and the accuracy of the target water temperature obtained through final analysis is improved.
S2, performing matrix matching analysis on the user figure picture according to a preset user figure picture to obtain the recuperation acupuncture points of the user;
in the embodiment of the invention, the user figure image is an image only containing the body shape profile data of the user, and the user figure image does not contain a specific user body shape picture, so that the safety protection of the user privacy data is realized.
In the embodiment of the invention, the body figure image of the user can be analyzed to accurately analyze the recuperation acupuncture points of the user, so that the water flow of the user during bathing can be adjusted according to the recuperation acupuncture points in the subsequent process, and the bathing experience of the user can be improved, wherein the recuperation acupuncture points refer to the acupuncture points of the human body contained in the body of the user, the recuperation acupuncture points are pressed to a certain degree, the relaxation of the body and spirit of the user can be realized, and the circulation of blood is promoted.
In detail, the recuperation acupuncture points of the user can be identified from the figure image of the user in a matrix matching analysis mode, the picture can be rapidly calculated and analyzed in the matrix matching analysis mode, the probability of identification errors is reduced, and the recuperation acupuncture points of the user are obtained more accurately.
In the embodiment of the present invention, referring to fig. 2, the performing matrix matching analysis on the figure picture of the user to obtain the recuperation acupuncture points of the user includes:
s21, converting a preset user figure picture into a pixel matrix;
s22, carrying out convolution operation on the converted pixel matrix by using the following convolution algorithm to obtain an intermediate matrix:
Figure BDA0003773493470000081
b (i, j) is an intermediate matrix obtained through convolution calculation, K (m, n) is a preset convolution kernel matrix, A (i-m +1,j-n + 1) is an image input matrix for user figure and picture conversion, i is the row number of the intermediate matrix, j is the column number of the intermediate matrix, m is the row number of the convolution kernel matrix, and n is the column number of the convolution kernel matrix;
s23, pooling the intermediate matrix, and calculating the matching degree between the pooled intermediate matrix and a preset acupuncture point label one by one;
and selecting the picture area corresponding to the middle matrix with the matching degree larger than the preset matching degree as the recuperation acupuncture point of the user.
In detail, the convolution algorithm is used for performing convolution calculation on the converted pixel matrix, so that the feature extraction of the pixel matrix is realized, the dimensionality of the pixel matrix can be reduced, the calculation complexity is reduced, the calculation fault tolerance is improved, and the acupoint screening is more accurate.
Specifically, the main purpose of pooling the intermediate matrix is to perform feature extraction on the intermediate matrix and simultaneously realize dimension reduction on the dimension of the intermediate matrix, and the average value of the preset points is taken in a mean value pooling mode and filled in a preset blank matrix, so that the features of the intermediate matrix can be kept to a great extent, and the dimension reduction is performed rapidly.
Specifically, the calculating the matching degree between the middle matrixes subjected to the pooling treatment and the preset labels one by one includes:
and (3) calculating the matching degree of the pooled intermediate matrix and the preset acupuncture point labels one by utilizing the following matching degree algorithm:
Figure BDA0003773493470000091
the DICE (A, B) represents the matching degree between the pooled intermediate matrix and the preset acupoint tag converted matrix, A represents the pooled intermediate matrix, and B represents the preset acupoint tag converted matrix.
In detail, if DICE (a, B) =1, it means that the pooled intermediate matrix and the preset acupoint tag are completely matched, and if DICE (a, B) =0, it means that the pooled intermediate matrix and the preset acupoint tag are completely unmatched.
Specifically, the pixel matrix after convolution and pooling calculation can maximally retain the characteristic information of the original pixel matrix while reducing the dimensionality. The dimensionality of the intermediate matrix is reduced by using pooling calculation, so that a plurality of calculation processes can be reduced, the calculation fault tolerance is improved, and the matching result can be calculated more quickly.
S3, collecting the bathing position of the user through position coding, and carrying out water-washed acupoint massage on the user according to the bathing position and the recuperation acupoints;
as the design can not acquire the figure information of all users at the beginning, and the bathing positions of the same user are different every time, the bathing position of the user can not be fixed, so that the new bathing position of the user is acquired in real time, and the acupuncture point information of the user is continuously updated, so as to achieve the accurate analysis of the acupuncture points of the user.
In the embodiment of the present invention, referring to fig. 3, the acquiring the bathing position of the user through the position code includes:
s31, acquiring each stress point of a user lying in the bathtub;
s32, carrying out position coding on the position of each stress point by using a coding algorithm as follows:
Figure BDA0003773493470000101
Figure BDA0003773493470000102
wherein PE (pos, 2 i) represents the position of the stress point of the bathtub, PE (pos, 2i + 1) represents the position of another different stress point of the bathtub, and pos represents the stress area of the bathtubField, 2i denotes the ordinate of the position of the force point of the bathtub, dmodelRepresenting a character encoding function;
s33, the calculated position codes are regarded as position coordinates of the stress points;
and S34, determining the stress point position of the user in a preset coordinate system according to the position coordinate, and performing point drawing on the position coordinate of each stress point to obtain the bathing position of the user.
In detail, the position of each stress point is subjected to position coding by using a coding algorithm, the specific position coordinate of each stress point can be quickly obtained, then a coordinate system is introduced into the calculation process, the bathing position of a user can be more intuitively depicted and determined, and the bathing position of the user determined by the coding algorithm is accurate and concise, the calculation time is short, and the operability is strong.
Specifically, due to the special structure of the human body, when a user sits down or lies down, the stress degrees of different positions are different, for example, when the user sits down in a bathtub, the stress degree of the buttocks far exceeds that of the legs, so that the body part of the user can be analyzed according to different stress degrees and stress areas, and the bathing position of the user can be obtained.
In detail, the acquisition of each stress point of a user lying in the bathtub can be realized by a force sensor at the bottom of the bathtub, the pressure of the user on the bathtub is sensed, the shape of a built-in resistor of the sensor is changed, so that the resistance value is changed, the change of the resistance value is calculated by an integrated circuit, the internal current is changed, a corresponding electric signal is generated, and the electric signal is processed to convert the pressure into a visual pressure value. And selecting a stress area with the pressure value larger than the preset pressure value as a stress point of the user lying in the bathtub.
Specifically, the water-flushing acupuncture point massage is carried out according to the bathing position and the recuperation acupuncture points, after the bathing position of the user is analyzed, the water-flushing massage is carried out according to the determined recuperation acupuncture points of the user, such as different beneficial acupuncture points of the human body, such as a Zhongshu acupuncture point, a Waishu acupuncture point, a Jianjing acupuncture point and the like on the back, so that the user can relax himself conveniently, and the bathing comfort level is improved.
And S4, acquiring the facial expression of the user, analyzing the facial expression of the user through a pre-constructed decision tree model, analyzing a user expression label according to the facial expression, and further adjusting the massage strength.
In the embodiment of the invention, the decision tree model is a simple and easy-to-use nonparametric classifier, the calculation speed is high, and the result is easy to explain.
Because long-time water-flushing massage may cause a certain acupuncture point to generate pain due to overlong impact time, the massage strength needs to be adjusted at any time, and each user has different pain perception, so that the massage strength of water-flushing is difficult to determine, the massage comfort degree can be judged according to the facial expression of the user, and the massage strength can be adjusted at any time conveniently.
In the embodiment of the invention, the facial expression of the user can be acquired through the electronic equipment, the facial expression of the user can be detected in real time when the user starts the massage mode, an image is acquired every preset time period, and the expression change of the user is monitored in real time.
In detail, analyzing the facial expression of the user through a pre-constructed decision tree model, analyzing the expression label of the user according to the facial expression, and further adjusting the massage strength, comprises: obtaining a pre-constructed decision tree model, wherein the mathematical expression of the decision tree model is as follows:
Figure BDA0003773493470000111
wherein g (x) is an output value of the decision tree, x is a parameter of the decision tree, and f (y) is an input value of the decision function; taking the facial expression of the user as an input value of the decision tree, and calculating and outputting an expression label of the facial expression of the user through the decision tree model;
when the expression label is alpha, gradually increasing the massage strength according to a first gradient; when the expression label is gamma, gradually reducing the massage strength according to a second gradient; and when the expression label is beta, the massage strength is unchanged.
Specifically, the massage strength is gradually increased according to a first gradient, for example, if the current massage strength is 2 and the gradient is also 2, the massage strength is gradually increased according to a rule that 2 gradients are sequentially increased from 2 to 4 to 6 to 8, and the like; and gradually reducing the massage strength according to a second gradient, for example, if the current massage strength is 10 and the gradient is 2, gradually reducing the massage strength according to a rule that the current massage strength is 10 to 8 to 6 to 4 and the like, and sequentially reducing the 2 gradients.
Specifically, the obtaining of the pre-constructed decision tree model includes: extracting a plurality of characteristic expressions from a preset expression library, and compiling image data of the characteristic expressions into characteristic numbers; sequentially selecting one expression from the characteristic expressions as a target expression, and compiling image data of the characteristic expression into a target number; assigning a preset decision function by using the target number, and generating a decision tree by using the assigned decision function as a decision condition; and collecting the decision trees corresponding to all the characteristic expressions as decision tree models.
In detail, the process of compiling the image data of the characteristic expression into the characteristic number is a process of digitizing the image. Image digitization uses computer graphics and image technology to convert an analog image into a digital image, and based on the electronization of the image, the analog image is converted into an electronic signal, which is then converted into a digital image signal. The continuous images in two-dimensional space are equally divided into rectangular mesh structures in the horizontal and vertical directions, the formed tiny squares are called pixel points, and one image is sampled into a set formed by a limited number of pixel points.
In detail, the analyzing the user expression labels according to the facial expressions to further adjust the massage force comprises:
analyzing the expression labels of the users according to the facial expressions by using the following force adjusting formula so as to adjust the massage force:
S(n)＝S(n-1)+q*rand()
wherein, S (n) represents the adjusted force, S (n-1) represents the current massage force, q represents the force adjustment coefficient, and rand represents the force adjustment range.
In detail, the force to be adjusted can be quickly calculated through a force adjusting formula, wherein the adjusting coefficient q can be positive or negative, when the calculated S (n) is a positive number, the massage force needs to be increased, and when the calculated S (n) is a negative number, the massage force needs to be reduced. The force adjustment formula is simple to calculate and has certain fault tolerance.
Specifically, the massage strength is adjusted according to different choices of the user expression tags, when the user expression tags are beta, the massage strength does not need to be adjusted, when the user expression tags are alpha, a certain massage strength is increased according to a calculation result, and when the user expression tags are gamma, a certain massage strength is decreased according to the calculation result. The massage force can be adjusted in real time to bring the most comfortable experience degree to the user, the massage force and the massage duration can be adjusted according to tolerance degrees of different users, the application crowd is wide, and the performability is high.
Fig. 4 is a functional block diagram of a water flow temperature adjustment control device for an intelligent bathtub according to an embodiment of the present invention.
The water flow temperature adjusting control device 100 of the intelligent bathtub can be installed in electronic equipment. According to the realized functions, the water flow temperature regulation control device 100 of the intelligent bathtub can comprise a numerical processing module 101, an acupuncture point analysis module 102, an acupuncture point massage module 103 and a force regulation module 104. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the numerical processing module 101 is used for acquiring a blood pressure value and a heart rate value of a user in real time when the user takes a bath, performing combined normalization processing on the blood pressure value and the heart rate value, performing fusion feature mapping analysis on the blood pressure data and the heart rate data after combined normalization to obtain a target water temperature, and adjusting the bath water temperature of the user according to the target water temperature;
the acupuncture point analysis module 102 is used for performing matrix matching analysis on the user figure picture according to a preset user figure picture to obtain recuperation acupuncture points of the user;
the acupuncture point massage module 103 is used for collecting the bathing position of the user through position coding and carrying out water-washed acupuncture point massage on the user according to the bathing position and the recuperation acupuncture points;
the force adjusting module 104 acquires facial expressions of the user, analyzes the facial expressions of the user through a pre-constructed decision tree model, analyzes a user expression label according to the facial expressions, and then adjusts massage force.
In detail, when the modules in the water flow temperature adjustment control device 100 for an intelligent bathtub according to the embodiment of the present invention are used, the same technical means as the water flow temperature adjustment control method for an intelligent bathtub described in the foregoing fig. 1 to fig. 3 are used, and the same technical effects can be produced, which are not described again here.
Fig. 5 is a schematic structural diagram of an electronic device for implementing a water flow temperature adjustment control method for an intelligent bathtub according to an embodiment of the present invention.
The electronic device 1 may comprise a processor 10, a memory 11, a communication bus 12 and a communication interface 13, and may further comprise a computer program, such as a water flow temperature control program of a smart bathtub, stored in the memory 11 and executable on the processor 10.
In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions, and includes one or more Central Processing Units (CPUs), a microprocessor, a digital Processing chip, a graphics processor, a combination of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the whole electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device by running or executing programs or modules stored in the memory 11 (for example, executing a water flow temperature Control program of a smart tub, etc.), and calling data stored in the memory 11.
The memory 11 includes at least one type of readable storage medium including flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device, for example a removable hard disk of the electronic device. The memory 11 may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device. The memory 11 may be used not only to store application software installed in the electronic device and various types of data, such as a code of a water flow temperature adjustment control program of a smart tub, etc., but also to temporarily store data that has been output or will be output.
The communication bus 12 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
The communication interface 13 is used for communication between the electronic device and other devices, and includes a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), which are typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized user interface.
Only electronic devices having components are shown, and those skilled in the art will appreciate that the structures shown in the figures do not constitute limitations on the electronic devices, and may include fewer or more components than shown, or some components in combination, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management and the like are realized through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The memory 11 in the electronic device 1 stores a water flow temperature adjustment control program of an intelligent bathtub, which is a combination of a plurality of instructions, and when running in the processor 10, can realize:
the method comprises the steps that when a user takes a bath, the blood pressure value and the heart rate value of the user are obtained in real time, combined normalization processing is carried out on the blood pressure value and the heart rate value, fusion characteristic mapping analysis is carried out according to blood pressure data and heart rate data after combined normalization, target water temperature is obtained, and the bath water temperature of the user is adjusted according to the target water temperature;
according to a preset user figure picture, performing matrix matching analysis on the user figure picture to obtain the recuperation acupuncture points of the user;
collecting the bathing position of the user through position coding, and carrying out water-washed acupoint massage on the user according to the bathing position and the recuperation acupoints;
the method comprises the steps of obtaining facial expressions of a user, analyzing the facial expressions of the user through a pre-constructed decision tree model, analyzing user expression labels according to the facial expressions, and further adjusting massage strength.
Specifically, the specific implementation method of the instruction by the processor 10 may refer to the description of the relevant steps in the embodiment corresponding to the drawings, which is not described herein again.
Further, the integrated modules/units of the electronic device 1 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM).
The present invention also provides a computer-readable storage medium, storing a computer program which, when executed by a processor of an electronic device, may implement:
the method comprises the steps that when a user takes a bath, the blood pressure value and the heart rate value of the user are obtained in real time, combined normalization processing is carried out on the blood pressure value and the heart rate value, fusion characteristic mapping analysis is carried out on the blood pressure data and the heart rate data after combined normalization to obtain target water temperature, and the bath water temperature of the user is adjusted according to the target water temperature;
according to a preset user figure picture, performing matrix matching analysis on the user figure picture to obtain the recuperation acupuncture points of the user;
collecting the bathing position of the user through position coding, and carrying out water-washed acupoint massage on the user according to the bathing position and the recuperation acupoints;
the method comprises the steps of obtaining facial expressions of a user, analyzing the facial expressions of the user through a pre-constructed decision tree model, analyzing user expression labels according to the facial expressions, and further adjusting massage force.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
The embodiment of the application can acquire and process related data based on an artificial intelligence technology. Among them, artificial Intelligence (AI) is a theory, method, technique and application system that simulates, extends and expands human intelligence using a digital computer or a machine controlled by a digital computer, senses the environment, acquires knowledge and uses the knowledge to obtain the best result.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (10)

1. A water flow temperature regulation control method of an intelligent bathtub is characterized by comprising the following steps:
the method comprises the steps that when a user takes a bath, the blood pressure value and the heart rate value of the user are obtained in real time, combined normalization processing is carried out on the blood pressure value and the heart rate value, fusion characteristic mapping analysis is carried out on the blood pressure data and the heart rate data after combined normalization to obtain target water temperature, and the bath water temperature of the user is adjusted according to the target water temperature;
according to a preset user figure picture, performing matrix matching analysis on the user figure picture to obtain the recuperation acupuncture points of the user;
collecting the bathing position of the user through position coding, and carrying out water-washed acupoint massage on the user according to the bathing position and the recuperation acupoints;
the method comprises the steps of obtaining facial expressions of a user, analyzing the facial expressions of the user through a pre-constructed decision tree model, analyzing user expression labels according to the facial expressions, and further adjusting massage strength.
2. The method as claimed in claim 1, wherein the step of performing the joint normalization of the blood pressure value and the heart rate value comprises:
performing combined normalization processing on the blood pressure value and the heart rate value by using the following normalization functions to obtain normalization parameters:
Figure FDA0003773493460000011
Figure FDA0003773493460000012
wherein the content of the first and second substances,
Figure FDA0003773493460000013
represents a value corresponding to the blood pressure value a at the time i after normalization,
Figure FDA0003773493460000014
represents a value corresponding to the heart rate value b at the moment i after normalization, M represents the total number of the blood pressure values, N represents the total number of the heart rate values, i represents the moment i,
Figure FDA0003773493460000015
which represents the value of the blood pressure a at time i,
Figure FDA0003773493460000016
representing the heart rate value b, min (theta) at time ia) Represents the minimum value of the blood pressure values, min (θ)b) Representing the minimum of the heart rate values.
3. The method as claimed in claim 1, wherein the performing matrix matching analysis on the picture of the user's stature to obtain the points of the user's recuperation comprises:
converting a preset user figure picture into a pixel matrix;
performing convolution operation on the converted pixel matrix by using the following convolution algorithm to obtain an intermediate matrix:
Figure FDA0003773493460000021
b (i, j) is an intermediate matrix obtained through convolution calculation, K (m, n) is a preset convolution kernel matrix, A (i-m +1,j-n + 1) is an image input matrix for user figure image conversion, i is the row number of the intermediate matrix, j is the column number of the intermediate matrix, m is the row number of the convolution kernel matrix, and n is the column number of the convolution kernel matrix;
pooling the intermediate matrix, and calculating the matching degree between the pooled intermediate matrix and preset acupoint labels one by one;
and selecting the picture area corresponding to the middle matrix with the matching degree larger than the preset matching degree after the pooling treatment as the recuperation acupuncture points of the user.
4. The method as claimed in claim 1, wherein the collecting the bathing position of the user by the position code comprises:
acquiring each stress point of a user lying in a bathtub;
the position of each of the force points is position-coded using the following coding algorithm:
Figure FDA0003773493460000022
Figure FDA0003773493460000023
wherein PE (pos, 2 i) represents the position of the stress point of the bathtub, PE (pos, 2i + 1) represents the position of another different stress point of the bathtub, pos represents the stress area of the bathtub, 2i represents the ordinate of the position of the stress point of the bathtub, dmodelRepresenting a character encoding function;
the calculated position codes are regarded as position coordinates of the stress points;
and determining the stress point position of the user in a preset coordinate system according to the position coordinate, and performing point drawing on the position coordinate of each stress point to obtain the bathing position of the user.
5. The method as claimed in claim 1, wherein the step of analyzing the facial expression of the user through the pre-constructed decision tree model, analyzing the facial expression label of the user according to the facial expression, and adjusting the massage strength comprises:
obtaining a pre-constructed decision tree model, wherein the mathematical expression of the decision tree model is as follows:
Figure FDA0003773493460000031
wherein g (x) is an output value of the decision tree, x is a parameter of the decision tree, and f (y) is an input value of the decision function; taking the facial expression of the user as an input value of the decision tree, and calculating and outputting an expression label of the facial expression of the user through the decision tree model;
when the expression label is alpha, gradually increasing the massage strength according to a first gradient;
when the expression label is gamma, gradually reducing the massage strength according to a second gradient;
and when the expression label is beta, the massage strength is unchanged.
6. The method as claimed in claim 5, wherein the obtaining of the pre-constructed decision tree model comprises:
extracting a plurality of characteristic expressions from a preset expression library, and compiling image data of the characteristic expressions into characteristic numbers;
sequentially selecting one expression from the characteristic expressions as a target expression, and compiling image data of the characteristic expression into a target number;
assigning a preset decision function by using the target number, and generating a decision tree by using the assigned decision function as a decision condition;
and collecting the decision trees corresponding to all the characteristic expressions as decision tree models.
7. The method for controlling the temperature adjustment of the water flow in the intelligent bathtub according to any one of the claims 1-6, wherein the analyzing the expression labels of the user according to the facial expressions to adjust the massage strength comprises:
analyzing the expression labels of the users according to the facial expressions by using the following force adjusting formula so as to adjust the massage force:
S(n)＝S(n-1)+q*rand()
wherein, S (n) represents the adjusted force, S (n-1) represents the current massage force, q represents the force adjustment coefficient, and rand represents the force adjustment range.
8. A water flow temperature-regulating control device for an intelligent bathtub, the device comprising:
the numerical value processing module is used for acquiring a blood pressure numerical value and a heart rate numerical value of a user in real time when the user takes a bath, carrying out combined normalization processing on the blood pressure numerical value and the heart rate numerical value, carrying out fusion characteristic mapping analysis on the blood pressure data and the heart rate data after combined normalization to obtain a target water temperature, and adjusting the bath water temperature of the user according to the target water temperature;
the acupuncture point analysis module is used for carrying out matrix matching analysis on the user figure picture according to a preset user figure picture to obtain the recuperation acupuncture points of the user;
the acupuncture point massage module is used for collecting the bathing position of the user through position codes and carrying out water-washed acupuncture point massage on the user according to the bathing position and the recuperation acupuncture points;
the force adjusting module is used for acquiring the facial expression of the user, analyzing the facial expression of the user through a pre-constructed decision tree model, analyzing a user expression label according to the facial expression and further adjusting the massage force.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform a method of water flow thermostat control for a smart bathtub according to any one of claims 1-7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements a method of controlling the temperature of water flow in a smart bathtub according to any one of claims 1 to 7.
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