Intelligent toilet, toilet bowl assembly and human body recognition method

Abstract

The application discloses a smart toilet, a toilet ring assembly and a human body recognition method. The human body recognition method comprises the following steps: acquiring a current relative dielectric constant array, wherein the current relative dielectric constant array comprises current relative dielectric constants at a plurality of detection points of a toilet ring of the smart toilet; performing similarity measurement on the current relative dielectric constant array and each preset relative dielectric constant array, wherein the preset relative dielectric constant array comprises a plurality of preset relative dielectric constants, and the plurality of preset relative dielectric constants correspond to the plurality of detection points of the toilet ring respectively; and based on the similarity between the current relative dielectric constant array and a preset relative dielectric constant array being greater than or equal to a preset degree, it is confirmed that a user currently using the smart toilet is a user corresponding to the preset relative dielectric constant array. The human body recognition method can accurately identify the user identity, is not affected by a humid environment, and does not leak privacy.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to a human body recognition technology, in particular to a smart toilet, a toilet seat assembly, and a human body recognition method. BACKGROUND

[0002] With the increasing number of electronic products, the demand for individualization and customization of smart products is becoming more and more prominent. People's use habits of smart toilets are different, and the smart toilet can automatically match the working parameters that meet the use habits of each different user after recognizing the user.

[0003] The existing user recognition technologies include key selection recognition technology, fingerprint recognition technology, finger vein recognition technology, and image recognition technology. Due to the privacy and other issues that need to be considered for smart toilet products, the image recognition technology is not suitable for use in the smart toilet to recognize the user. The key selection recognition technology is limited by the number of keys on the operation panel, and can only be applied to scenarios with a small number of users, and the user needs to actively press the keys to trigger, which is troublesome, and the user is easy to remember the wrong key corresponding to himself, resulting in misrecognition. The fingerprint recognition technology needs the user to actively press to trigger the fingerprint recognition module, and the fingerprint recognition module is prone to failure in the humid environment of the bathroom. SUMMARY

[0004] The technical problem to be solved by the present application is to provide a human body recognition method suitable for the use scenario of a smart toilet.

[0005] The present application provides a human body recognition method, which comprises:

[0006] obtaining a current relative dielectric constant array, the current relative dielectric constant array comprising current relative dielectric constants at a plurality of detection points of a toilet seat of a smart toilet;

[0007] measuring the similarity of the current relative dielectric constant array and each preset relative dielectric constant array, the preset relative dielectric constant array comprising a plurality of preset relative dielectric constants, and the plurality of preset relative dielectric constants corresponding to the plurality of detection points of the toilet seat, respectively;

[0008] based on the similarity between the current relative dielectric constant array and a preset relative dielectric constant array being greater than or equal to a preset degree, confirming that the user currently using the smart toilet is the user corresponding to the preset relative dielectric constant array.

[0009] In an illustrative embodiment, the method further comprises:

[0010] based on the similarity between the current relative dielectric constant array and a preset relative dielectric constant array being greater than or equal to a preset degree, obtaining a preset function parameter corresponding to the preset relative dielectric constant array, and configuring the smart toilet with the preset function parameter.

[0011] In one illustrative embodiment, the similarity measurement between the current relative permittivity set and the preset relative permittivity set comprises:

[0012] calculating the difference between the current relative permittivity of each detection point and the preset relative permittivity corresponding to the detection point to obtain the difference value corresponding to the detection point;

[0013] based on the difference between the maximum difference value and the minimum difference value being less than or equal to a first preset threshold, determining that the similarity between the current relative permittivity set and the preset relative permittivity set is greater than or equal to a preset degree.

[0014] In one illustrative embodiment, the similarity measurement between the current relative permittivity set and the preset relative permittivity set comprises:

[0015] calculating the difference between the current relative permittivity of each detection point and the preset relative permittivity corresponding to the detection point to obtain the difference value corresponding to the detection point;

[0016] based on the variance of all difference values being less than or equal to a second preset threshold, determining that the similarity between the current relative permittivity set and the preset relative permittivity set is greater than or equal to a preset degree.

[0017] In one illustrative embodiment, it further comprises:

[0018] based on the similarity between the current relative permittivity set and all preset relative permittivity sets being less than a preset degree, storing the current relative permittivity set as a preset relative permittivity set;

[0019] after the user uses the intelligent toilet this time, the function parameters of the intelligent toilet last configured by the user during the use of the intelligent toilet this time are stored as the preset function parameters corresponding to the preset relative permittivity set.

[0020] In one illustrative embodiment, it further comprises:

[0021] based on the similarity between the current relative permittivity set and all preset relative permittivity sets being less than a preset degree, prompting the user to sit on the toilet ring multiple times, and measuring the relative permittivity set of the user each time sitting on the toilet ring;

[0022] averaging the relative permittivities of the measured multiple relative permittivity sets on the same detection point to obtain the average relative permittivity of each detection point, and storing the average relative permittivities of all detection points as a preset relative permittivity set;

[0023] After the user uses the intelligent closestool, the last configured function parameter of the intelligent closestool in the user's use of the intelligent closestool is stored as the preset function parameter corresponding to the preset relative dielectric constant set.

[0024] In an illustrative embodiment, further comprising:

[0025] After the intelligent closestool is configured with the preset function parameter, the preset function parameter corresponding to the preset relative dielectric constant set is changed to the function parameter changed by the user based on the change of the function parameter, the preset relative dielectric constant set being the preset relative dielectric constant set with a similarity greater than or equal to a preset degree to the current preset relative dielectric constant set.

[0026] In an illustrative embodiment, the preset function parameter comprises at least one of:

[0027] The preset hip washing position, the preset female washing position, the preset flushing water volume, the preset flushing water temperature, the preset drying air speed, the preset drying air temperature, and the preset seat ring temperature.

[0028] In an illustrative embodiment, further comprising: after confirming that the user currently using the intelligent closestool is the user corresponding to the preset relative dielectric constant set, obtaining health data of the user, and pushing the health data to the mobile terminal of the user.

[0029] The application also proposes a closestool ring assembly, comprising:

[0030] The closestool ring has a front surface supporting a human body and a back surface opposite to the front surface;

[0031] The measurement assembly comprises a plurality of capacitive sensors, and the plurality of capacitive sensors are respectively arranged on different detection points of the back surface of the closestool ring, and the capacitive sensors measure the relative dielectric constant at the detection points where the capacitive sensors are located.

[0032] The controller is electrically connected to the detection assembly, and the controller is configured to execute the human body recognition method as described above.

[0033] The application also proposes an intelligent closestool comprising the closestool ring assembly as described above.

[0034] In the technical solution of this application, after a user sits on the toilet seat, the smart toilet measures a set of current relative permittivity constants. It then performs a similarity measurement between this current relative permittivity constant set and each preset relative permittivity constant set to obtain the similarity degree between each preset relative permittivity constant set and the current relative permittivity constant set. When the similarity degree between the current relative permittivity constant set and a preset relative permittivity constant set is greater than or equal to a preset degree, the user currently using the smart toilet can be confirmed as the user corresponding to that preset relative permittivity constant set. Therefore, if any user has a preset relative permittivity constant set pre-stored in the smart toilet, their identity can be immediately recognized after sitting on the toilet seat, without the user needing to actively press to trigger recognition. This human body recognition method has a high recognition rate and can be used normally in humid environments such as bathrooms. The information collected by this human body recognition method is the relative permittivity constant, which does not pose a risk of leaking user privacy.

[0035] Other features and advantages of this application will be set forth in the following description, and will be apparent in part from the description, or may be learned by practicing the application. Other advantages of this application can be realized and obtained by means of the solutions described in the description and the accompanying drawings. Attached Figure Description

[0036] The accompanying drawings are used to provide an understanding of the technical solutions of this application and constitute a part of the specification. They are used together with the embodiments of this application to explain the technical solutions of this application and do not constitute a limitation on the technical solutions of this application.

[0037] Figure 1 This is a circuit connection diagram of a toilet seat assembly according to an embodiment of this application;

[0038] Figure 2 This is a bottom view of a toilet seat assembly according to an embodiment of this application.

[0039] Figure 3 This is a cross-sectional schematic diagram of a toilet seat assembly according to an embodiment of this application;

[0040] Figure 4 This is a flowchart of a human body recognition method in an embodiment of this application. Detailed Implementation

[0041] The present application describes a number of embodiments, but the description is exemplary rather than limiting and it will be apparent to those of ordinary skill in the art that numerous more embodiments and implementations are possible within the scope of the embodiments described in the present application. Although a number of possible combinations of features have been set forth in the accompanying figures and discussed above, many other combinations will be possible. Any feature of any embodiment can be used in combination with any other feature or element from any other embodiment or can replace any other feature or element in any other embodiment, unless specifically restricted, unless specifically excluded.

[0042] The present application includes and contemplates combinations of features and elements known to those of ordinary skill in the art. The embodiments, features and elements disclosed herein can also be combined with any conventional features or elements to form unique invention solutions. Any feature or element of any embodiment can also be combined with features or elements from other invention solutions to form another unique invention solution. Thus, it should be understood that any feature shown and / or discussed in the present application can be implemented alone or in any appropriate combination. Accordingly, the embodiments are not to be restricted, other than by the appended claims and their equivalents, unless specifically restricted as otherwisedescribed. Further, various modifications and changes can be made within the scope of the appended claims.

[0043] Further, in describing representative embodiments, the specification can have presented the method and / or process as a particular sequence of steps. However, to the extent that the method or process depends on more than one step, the method or process should not be limited to the particular sequence of steps described. Other sequences of steps can be possible, depending on the particular implementation. Accordingly, the particular order of the steps set forth in the specification is not an limitation on the claims. Further, the claims should not be limited to the steps of the method and / or process in the order in which they are written, as other sequences of steps can be possible, depending on the particular implementation, and the order of steps can vary, as will be understood by those of ordinary skill in the art.

[0044] As Figure 1 The present embodiment proposes a smart toilet, which comprises a toilet ring assembly. The toilet ring assembly comprises a toilet ring 8, a measurement assembly 3, an execution assembly 2, a controller 1, an operation panel 5 and a loudspeaker 5. The toilet ring 8 has a front surface and a back surface opposite to the front surface. A person sits on the front surface of the toilet ring 8 when using the toilet, and the front surface of the toilet ring 8 is used to support the human body.

[0045] The execution assembly 2 comprises an electric heater 21, a flushing device 22 and a drying device 23. The electric heater 21 can be connected to the toilet rim 8 for heating the toilet rim 8. The flushing device 22 is used for flushing the buttocks and / or the vulva. The drying device 23 is used for outputting hot air to dry the buttocks and / or the vulva. The drying device 23 can be a hot air blower.

[0046] As shown in Figure 2 , 3 The measurement assembly 3 comprises a plurality of capacitive sensors 31. The plurality of capacitive sensors 31 are respectively arranged at different positions on the back of the toilet rim 8. Each capacitive sensor 31 is arranged at a detection point on the toilet rim 8. Each capacitive sensor 31 can measure the relative dielectric constant at the detection point where it is arranged. The capacitive sensor 31 can be attached to the back of the toilet rim 8. The plurality of capacitive sensors 31 can be arranged at the same side of the toilet rim 8. The plurality of capacitive sensors 31 can be arranged in sequence from the front end of the toilet rim 8 to the back end of the toilet rim 8. The plurality of capacitive sensors 31 can be 7.

[0047] The operation panel 5 is electrically connected to the controller 1. A user can control the intelligent toilet through the operation panel 5. The user can send the buttocks washing starting instruction, the vulva washing starting instruction, the buttocks washing position adjusting instruction, the vulva washing position adjusting instruction, the flushing water volume adjusting instruction, the flushing water temperature adjusting instruction, the toilet flushing instruction, the drying starting instruction, the drying temperature adjusting instruction, the drying air speed adjusting instruction and the toilet rim 8 temperature adjusting instruction to the controller 1 through the operation panel 5.

[0048] The buttocks washing starting instruction is used to instruct the controller 1 to drive the flushing device 22 to flush water to a preset buttocks washing position to clean the buttocks. The vulva washing starting instruction is used to instruct the controller 1 to drive the flushing device 22 to flush water to a preset vulva washing position to clean the vulva. The buttocks washing position adjusting instruction is used to instruct the controller 1 to adjust the flushing direction of the flushing device 22 to adjust the buttocks washing position. The vulva washing position adjusting instruction is used to instruct the controller 1 to adjust the flushing direction of the flushing device 22 to adjust the vulva washing position. The flushing water volume adjusting instruction is used to instruct the controller 1 to adjust the flushing water volume of the flushing device 22 for buttocks washing and / or vulva washing. The flushing water temperature adjusting instruction is used to instruct the controller 1 to adjust the flushing water temperature of the flushing device 22 for buttocks washing and / or vulva washing. The toilet flushing instruction is used to instruct the intelligent toilet to flush the toilet. The drying starting instruction is used to instruct the controller 1 to drive the drying device 23 to output air flow to dry the buttocks. The drying temperature adjusting instruction is used to instruct the controller 1 to adjust the temperature of the air flow output by the drying device 23. The drying air speed adjusting instruction is used to instruct the controller 1 to adjust the air speed of the air flow output by the drying device 23. The toilet rim 8 temperature adjusting instruction is used to instruct the controller 1 to adjust the temperature on the toilet rim 8.

[0049] The loudspeaker 5 is electrically connected to the controller 1. The controller 1 can broadcast prompt voice through the loudspeaker 5.

[0050] As Figure 4 shown, Figure 4 A human body recognition method in an embodiment of the present application is shown. The human body recognition method can be used to identify the identity of a user. The human body recognition method can be implemented based on the above-mentioned toilet rim assembly. The human body recognition method comprises the following steps:

[0051] Step S1: The controller 1 acquires a current relative permittivity set through the measurement assembly 3, the current relative permittivity set comprising current relative permittivities at the detection points of the toilet rim 8 of the intelligent toilet, and enters step S2.

[0052] The controller 1 measures the current relative permittivity at the detection point of the toilet rim 8 where each capacitive sensor 31 of the measurement assembly 3 is located through each capacitive sensor 31 of the measurement assembly 3. The current relative permittivity set measured by all capacitive sensors 31 constitutes a current relative permittivity set.

[0053] Step S2: The controller 1 performs similarity measurement on the current relative permittivity set and each preset relative permittivity set to obtain the similarity between each preset relative permittivity set and the current relative permittivity set, and enters step S3.

[0054] The preset relative permittivity set comprises a plurality of preset relative permittivities, and the plurality of preset relative permittivities correspond to the plurality of detection points of the toilet rim 8 respectively.

[0055] The controller 1 has one or more preset relative permittivity sets stored in advance. Each preset relative permittivity set contains a plurality of preset relative permittivities, and the plurality of preset relative permittivities correspond to the plurality of detection points of the toilet rim 8 one by one. The preset relative permittivity is a preset value, which can be recorded by the user sitting on the toilet rim 8 before using the intelligent toilet this time through the measurement assembly 3. The capacitive sensor 31 at each detection point records a preset relative permittivity, and these preset relative permittivities constitute a preset relative permittivity set.

[0056] The relative dielectric constant at each measuring point is affected by the relative dielectric constant of the human body after the user sits on the toilet seat 8. Different tissues of the human body have different relative dielectric constants, for example, the relative dielectric constants of blood, blood vessels, bones, bone cortex, cartilage, colon, skin, and small intestine are different. In addition, the types and contents of tissues at different parts of the human body are different, which results in different relative dielectric constants at different parts of the human body. At the same time, the tissue composition and content of the same part of different users are different, and the relative dielectric constant of the same part of different users is also different. The relative dielectric constant of the user's seating part is mainly affected by the proportion of muscle and fat. At the same time, due to the different postures and body shapes of different users, the contact part, contact area, and pressure between the user's body and the toilet seat 8 are different for each user, which further causes the relative dielectric constant at each measuring point of the toilet seat 8 to be different when different users sit on the toilet seat 8. Different parts of the same user are located near different measuring points, so the influence on the relative dielectric constant at different measuring points is different. However, since the posture and body shape of the same user change little in a short period of time, the part of the human body near the same measuring point is the same when the same user sits on the toilet seat 8 multiple times, so the difference in the measured relative dielectric constant at the same measuring point is small. Therefore, the relative dielectric constant set can be used to represent the identity of the user like a fingerprint pattern or an iris pattern.

[0057] Each user can pre-sit on the toilet seat 8 to record the relative dielectric constant set corresponding to the user, and store the relative dielectric constant set as the identity authentication information of the user in the controller 1. The relative dielectric constant set pre-recorded and stored as the identity authentication information is the preset relative dielectric constant set. The preset relative dielectric constant set corresponds to one user. The preset relative dielectric constant set and the identity information of the user corresponding to the preset relative dielectric constant set can be pre-stored in the controller 1. The identity information can be the number or name of the user.

[0058] After obtaining the current relative dielectric constant set in step S1, the controller 1 measures the similarity between the current relative dielectric constant set and each preset relative dielectric constant set. The similarity measurement can comprehensively evaluate the degree of similarity between the current relative dielectric constant set and the preset relative dielectric constant set.

[0059] The controller 1 can obtain the similarity between the current relative dielectric constant set and each preset relative dielectric constant set after measuring the similarity between the current relative dielectric constant set and each preset relative dielectric constant set.

[0060] Step S3: The controller 1 judges whether the similarity between the preset relative dielectric constant set and the current relative dielectric constant set is greater than or equal to a preset degree, and if yes, goes to step S4;

[0061] The controller 1 compares the similarity between each preset relative dielectric constant set and the current relative dielectric constant set with the preset degree, and if the similarity between any preset relative dielectric constant set and the current relative dielectric constant set is greater than or equal to the preset degree, goes to step S4;

[0062] The preset degree is a preset value, and the preset degree represents the maximum degree of difference between two relative dielectric constant sets when measuring two relative dielectric constant sets of the same person. The preset degree can be pre-calibrated by testing the intelligent toilet.

[0063] Step S4: The controller 1 confirms that the user currently using the intelligent toilet is the user corresponding to the preset relative dielectric constant set whose similarity with the current relative dielectric constant set is greater than or equal to the preset degree.

[0064] When the similarity between the preset relative dielectric constant set and the current relative dielectric constant set is greater than or equal to the preset degree, it indicates that the user currently sitting on the toilet bowl 8 is the same person as the user corresponding to the preset relative dielectric constant set, and the controller 1 can obtain the identity information of the user corresponding to the preset relative dielectric constant according to the preset relative dielectric constant and the corresponding relationship between the preset relative dielectric constant and the preset relative dielectric constant set and the identity information of the user, thereby identifying the identity of the user currently sitting on the toilet bowl 8.

[0065] In this way, after the user sits on the toilet bowl 8, the intelligent toilet can measure a current relative dielectric constant set, measure the similarity between the current relative dielectric constant set and each preset relative dielectric constant set to obtain the similarity between each preset relative dielectric constant set and the current relative dielectric constant set, and when the similarity between the current relative dielectric constant set and a preset relative dielectric constant set is greater than or equal to the preset degree, it can be confirmed that the user currently using the intelligent toilet is the user corresponding to the preset relative dielectric constant set. Therefore, any user has a preset relative dielectric constant set corresponding to him or her stored in the intelligent toilet, and after the user sits on the toilet bowl 8, his or her identity can be immediately identified without the user actively pressing the trigger to identify. The human body recognition method has a high recognition rate and can be used normally in a humid environment such as a bathroom. The information collected by the human body recognition method is the relative dielectric constant, which does not pose a risk of leaking user privacy.

[0066] In an illustrative embodiment, the step S4 further comprises: the controller 1 acquires a preset function parameter corresponding to a preset relative dielectric constant group with which the similarity between the preset relative dielectric constant group and the current relative dielectric constant group is greater than or equal to a preset degree, and configures the intelligent closestool with the preset function parameter.

[0067] The preset function parameter is a preset value. The preset function parameter comprises at least one of a preset hip washing position, a preset female washing position, a preset flushing water volume, a preset flushing water temperature, a preset drying air speed, a preset drying air temperature, and a preset seat ring temperature. The preset hip washing position is the water flushing direction of the flushing device 22 during hip washing, which can be adjusted by the user sending a hip washing position adjustment instruction through the operation panel 5. The preset female washing position is the water flushing direction of the flushing device 22 during female washing, which can be adjusted by the user sending a female washing position adjustment instruction through the operation panel 5. The preset flushing water volume is the flushing water volume of the flushing device 22 during hip washing and / or female washing, which can be adjusted by the user sending a flushing water volume adjustment instruction through the operation panel 5. The preset flushing water temperature is the flushing water temperature of the flushing device 22 during hip washing and / or female washing, which can be adjusted by the user sending a flushing water temperature adjustment instruction through the operation panel 5. The preset drying air temperature is the temperature of the air flow output by the drying device 23, which can be adjusted by the user sending a drying temperature adjustment instruction through the operation panel 5. The preset drying air speed is the air speed of the air flow output by the drying device 23, which can be adjusted by the user sending a drying air speed adjustment instruction through the operation panel 5. The preset seat ring temperature is the temperature on the closestool ring 8, which can be adjusted by the user sending a closestool ring 8 temperature adjustment instruction through the operation panel 5.

[0068] The preset function parameter is a function parameter of the intelligent closestool set by the user, corresponding to the preset relative dielectric constant group corresponding to the user. A one-to-one correspondence between the preset relative dielectric constant group and the preset function parameter is established in advance, which can be stored in the controller 1 in the form of a list in which the preset relative dielectric constant group and the preset function parameter correspond to each other.

[0069] After determining that the similarity between a preset relative dielectric constant group and the current relative dielectric constant group is greater than or equal to a preset degree, the controller 1 can acquire the preset function parameter corresponding to the preset relative dielectric constant group according to the preset relative dielectric constant group and the correspondence between the preset relative dielectric constant group and the preset function parameter. The controller 1 then configures the intelligent closestool with the preset function parameter, so that the intelligent closestool operates according to the preset function parameter.

[0070] In this way, after the user is identified, the intelligent closestool can automatically match the preset function parameter corresponding to the preset relative dielectric constant group to work, and the intelligent closestool working with the preset function parameter can meet the use habit of the user, thereby realizing the automatic matching of the function parameter meeting the use habit of each different user by the intelligent closestool after the user is identified.

[0071] For example, the first preset relative dielectric constant set corresponds to a first preset function parameter, and when the similarity between the current relative dielectric constant set and the first preset relative dielectric constant set is greater than or equal to a preset degree, the controller 1 acquires the first preset function parameter corresponding to the first preset function parameter and configures the intelligent toilet according to the first preset function parameter configuration. The first preset function parameter includes a first preset hip washing position, a first preset female washing position, a first preset flushing water volume, a first preset flushing water temperature, a first preset drying air speed, a first preset drying air temperature, and a first preset seat ring temperature. When the user sits on the toilet ring 8, the controller 1 drives the electric heater 21 to heat the toilet ring 8 to the first preset seat ring temperature. After the user issues a start hip washing instruction, the controller 1 drives the flushing device 22 to flush the user's hips with the first preset hip washing position, the first preset flushing water volume, and the first preset flushing water temperature. After the user issues a start female washing instruction, the controller 1 drives the flushing device 22 to flush the user's external genitalia with the first preset female washing position, the first preset flushing water volume, and the first preset flushing water temperature. After completing the female washing or hip washing, the controller 1 drives the drying device 23 to drive the drying device 23 to dry the hips with the first preset drying air speed and the first preset drying air temperature.

[0072] In one illustrative embodiment, in step S3, the similarity measurement between the current relative dielectric constant set and the preset relative dielectric constant set includes the following steps:

[0073] Step S31: The controller 1 subtracts the current relative dielectric constant of each detection point in the current relative dielectric constant set from the preset relative dielectric constant corresponding to the detection point in the preset relative dielectric constant set to obtain the difference value corresponding to the detection point.

[0074] Step S32: The controller 1 determines whether the difference between the largest difference value and the smallest difference value is less than or equal to a first preset threshold, if yes, it goes to step S33, otherwise it goes to step S34;

[0075] Step S33: The controller 1 determines that the similarity between the current relative dielectric constant set and the preset relative dielectric constant set is greater than or equal to a preset degree;

[0076] Step S34: The controller 1 determines that the similarity between the current relative dielectric constant set and the preset relative dielectric constant set is less than a preset degree.

[0077] In the present embodiment, the difference between the current relative permittivity of each detection point and the preset relative permittivity is first calculated, which is the degree of deviation between the current relative permittivity of each detection point and the preset relative permittivity. If the user using the intelligent toilet is the same person as the user corresponding to the preset relative permittivity, the current relative permittivity and the preset relative permittivity are ideally the same, but in reality there will be a certain deviation between the current relative permittivity and the preset relative permittivity due to differences in environmental humidity, water content of the human body, skin moisture, and sitting posture of the human body, but the difference between the difference values of the current relative permittivity and the preset relative permittivity of different detection points is small. Therefore, whether the user using the intelligent toilet is the same person as the user corresponding to the preset relative permittivity can be determined according to whether the difference between the current relative permittivity and the preset relative permittivity of different detection points is close.

[0078] The first preset threshold is the maximum value of the difference between the maximum difference value and the minimum difference value of the difference between the current relative permittivity of each detection point and the preset relative permittivity when the user using the intelligent toilet is the same person as the user corresponding to the preset relative permittivity. The first preset threshold can be pre-calibrated by experiment.

[0079] Therefore, in step S32, when the difference between the maximum difference value and the minimum difference value is less than or equal to the first preset threshold, it can be considered that the difference between the difference values of the current relative permittivity and the preset relative permittivity of different detection points is small, i.e., the similarity between the current relative permittivity and the preset relative permittivity is greater than or equal to the preset degree, and it is further confirmed that the user using the intelligent toilet is the same person as the user corresponding to the preset relative permittivity.

[0080] On the contrary, in step S32, when the difference between the maximum difference value and the minimum difference value is greater than the first preset threshold, it can be considered that the difference between the difference values of the current relative permittivity and the preset relative permittivity of different detection points is large, i.e., the similarity between the current relative permittivity and the preset relative permittivity is less than the preset degree, and it is further confirmed that the user using the intelligent toilet is not the same person as the user corresponding to the preset relative permittivity.

[0081] In an illustrative embodiment, in step S3, the similarity measurement between the current relative permittivity and the preset relative permittivity includes the following steps:

[0082] Step S31a: The controller 1 subtracts the preset relative permittivity corresponding to each detection point in the preset relative permittivity set from the current relative permittivity of the detection point in the current relative permittivity set to obtain the difference value corresponding to the detection point;

[0083] Step S32a: The controller 1 determines whether the variance of all the differences is less than or equal to a second preset threshold value. If yes, the process goes to step S33a. Otherwise, the process goes to step S34a.

[0084] Step S33a: The controller 1 determines that the similarity between the current relative permittivity set and the preset relative permittivity set is greater than or equal to a preset degree.

[0085] Step S34a: The controller 1 determines that the similarity between the current relative permittivity set and the preset relative permittivity set is less than the preset degree.

[0086] In this embodiment, the difference between the current relative permittivity of each detection point and the preset relative permittivity is calculated first. The difference is the deviation between the current relative permittivity of each detection point and the preset relative permittivity. If the user using the intelligent toilet and the user corresponding to the preset relative permittivity are the same person, the current relative permittivity set and the preset relative permittivity set are ideally the same, but in reality, there will be a certain deviation between the current relative permittivity set and the preset relative permittivity set due to the differences in environmental humidity, water content of the human body, skin moisture, and sitting posture of the human body. However, the differences between the current relative permittivity and the preset relative permittivity of different detection points are relatively small. Therefore, whether the user using the intelligent toilet and the user corresponding to the preset relative permittivity are the same person can be determined according to whether the differences between the current relative permittivity and the preset relative permittivity of different detection points are close.

[0087] The variance of the differences between the current relative permittivity and the preset relative permittivity of different detection points can describe the dispersion degree of these differences. The greater the variance, the greater the fluctuation of these differences, and the greater the difference between the differences.

[0088] The second preset threshold value is the maximum value of the variance of the differences between the current relative permittivity and the preset relative permittivity of different detection points when the user using the intelligent toilet and the user corresponding to the preset relative permittivity are the same person. The second preset threshold value can be pre-calibrated through experiments.

[0089] Therefore, in step S32a, if the variance of all the differences is less than or equal to the second preset threshold value, it can be considered that the differences between the current relative permittivity and the preset relative permittivity of different detection points are relatively small, i.e., the similarity between the current relative permittivity set and the preset relative permittivity set is greater than or equal to the preset degree, and it is further confirmed that the user using the intelligent toilet and the user corresponding to the preset relative permittivity are the same person.

[0090] On the contrary, in step S32a, if the variance of all the differences is greater than the second preset threshold, it is considered that the difference between the current relative permittivity of the different detection points and the preset relative permittivity is large, i.e., the similarity between the current relative permittivity and the preset relative permittivity is less than the preset degree, and it is further confirmed that the user using the intelligent toilet is not the same person as the user corresponding to the preset relative permittivity.

[0091] In an illustrative embodiment, the human body recognition method further comprises steps S5 and S6.

[0092] Step S3 further comprises: if the similarity between the current relative permittivity and all the preset relative permittivities is less than the preset degree, entering step S5.

[0093] Step S5: the controller 1 stores the current relative permittivity as a preset relative permittivity, and enters step S6.

[0094] Step S6: after the user uses the intelligent toilet, the controller 1 stores the function parameter used in the process of using the intelligent toilet as the preset function parameter corresponding to the preset relative permittivity.

[0095] In this way, when the controller 1 confirms that the similarity between each preset relative permittivity and the current relative permittivity is less than the preset degree, it is confirmed that the user corresponding to each preset relative permittivity is not the user using the intelligent toilet, and the user using the intelligent toilet is not stored in the controller 1. At this time, the controller 1 stores the current relative permittivity as a preset relative permittivity, i.e., stores the current relative permittivity as the verification information of the user.

[0096] The period during which the user uses the toilet can be from when the user sits on the toilet bowl 8 to when the user flushes the toilet. During the use of the intelligent toilet, the user can modify the function parameter of the intelligent toilet according to his own needs, and the modification can be performed once or multiple times. After the current user uses the intelligent toilet, the controller 1 stores the function parameter configured by the intelligent toilet last time during the use of the intelligent toilet as the preset function parameter, and the last time configured function parameter is the function parameter modified by the user last time.

[0097] The controller 1 finally associates the stored preset relative permittivity with the stored preset function parameter, so that the preset relative permittivity and the preset function parameter establish a corresponding relationship.

[0098] In this way, the next time the user uses the intelligent toilet, the user only needs to sit on the toilet rim 8, and the intelligent toilet can immediately identify the identity of the user, and automatically configure the intelligent toilet with the preset function parameters stored this time, without the user needing to re-adjust the function parameters of the intelligent toilet to meet his / her own use habits.

[0099] In one illustrative embodiment, the human body recognition method further comprises steps S5a-S7a.

[0100] Step S3 further comprises: if the similarity between the current relative dielectric constant set and all preset relative dielectric constant sets is less than the preset degree, proceeding to step S5a;

[0101] Step S5a: the controller 1 prompts the user to sit on the toilet rim 8 multiple times through the loudspeaker 5, and measures a relative dielectric constant set each time the user sits on the toilet rim 8 through the measuring assembly 3, proceeding to step S6a;

[0102] Step S6a: the controller 1 averages the relative dielectric constants at the same detection point in the multiple measured relative dielectric constant sets to obtain an average relative dielectric constant at each detection point, and stores the average relative dielectric constants at all detection points as a preset relative dielectric constant set, proceeding to step S7a.

[0103] Step S7a: after the user has finished using the intelligent toilet this time, the controller 1 stores the function parameters used in the process of using the intelligent toilet this time as preset function parameters corresponding to the preset relative dielectric constant set.

[0104] In this way, if the controller 1 confirms that the similarity between each preset relative dielectric constant set and the current relative dielectric constant set is less than the preset degree, it confirms that the user corresponding to each preset relative dielectric constant set is not the user currently using the intelligent toilet, and the user currently using the intelligent toilet is not stored in the controller 1, at which time the controller 1 controls the loudspeaker 5 to broadcast a prompt voice to prompt the user to sit on the toilet rim 8 multiple times, and the controller 1 measures a relative dielectric constant set each time the user sits on the toilet rim 8 through the measuring assembly 3. After the user has finished sitting multiple times, the measuring assembly 3 can measure multiple relative dielectric constant sets.

[0105] The controller 1 averages the relative permittivities of the plurality of relative permittivity sets at the same detection point to obtain an average relative permittivity of each detection point. For example, the relative permittivities of the plurality of relative permittivity sets at the first detection point are averaged to obtain a first average relative permittivity, the relative permittivities of the plurality of relative permittivity sets at the second detection point are averaged to obtain a second average relative permittivity, and so on, the relative permittivities of the plurality of relative permittivity sets at the Nth detection point are averaged to obtain an Nth average relative permittivity, and the first average relative permittivity to the Nth average relative permittivity form a preset relative permittivity set, which is stored by the controller 1 as the authentication information of the user.

[0106] The period during which the user uses the intelligent toilet can be from when the user sits on the toilet rim 8 to when the user flushes the toilet. During the use of the intelligent toilet, the user can modify the function parameters of the intelligent toilet according to his or her own needs, and the modification can be performed once or multiple times. After the current user finishes using the intelligent toilet, the controller 1 stores the function parameters of the intelligent toilet that are configured last during the use of the intelligent toilet by the user as preset function parameters, and the last configured function parameters are the function parameters that are modified last by the user.

[0107] The controller 1 finally associates the stored preset relative permittivity set with the stored preset function parameters, so that the preset relative permittivity set and the preset function parameters establish a corresponding relationship.

[0108] In this way, when the user uses the intelligent toilet next time, the intelligent toilet can immediately identify the identity of the user as long as the user sits on the toilet rim 8, and the intelligent toilet is automatically configured with the preset function parameters stored this time, without the need for the user to adjust the function parameters of the intelligent toilet to meet his or her own use habits.

[0109] In an illustrative embodiment, the human body recognition method further includes a step S9 after step S4.

[0110] Step S8: The controller 1 determines whether the user changes the function parameters of the intelligent toilet, and if so, proceeds to step S9.

[0111] Step S9: After the user changes the function parameters of the intelligent toilet, the controller 1 changes the preset function parameters corresponding to the preset relative permittivity set to the function parameters changed by the user, and the preset relative permittivity set is a preset relative permittivity set that has a similarity greater than or equal to a preset degree with the current preset relative permittivity set.

[0112] After the intelligent toilet is automatically configured according to the preset function parameters, the user can directly operate the intelligent toilet according to the preset function parameters. The user can adjust the function parameters configured by the intelligent toilet according to the user's own needs, and the adjustment can be performed once or multiple times. During the user's current use of the intelligent toilet, if the user adjusts the function parameters and the function parameters are changed, the controller 1 changes the preset function parameters to the function parameters changed by the user.

[0113] In this way, the next time the user uses the intelligent toilet, the user only needs to sit on the toilet ring 8, and the intelligent toilet can immediately identify the identity of the user and automatically configure the intelligent toilet according to the preset function parameters changed this time to meet the new use habit of the user using the intelligent toilet.

[0114] In an illustrative embodiment, the human body recognition method further includes a step S10 after step S4.

[0115] Step S10: The controller 1 acquires the health data of the user through the health detection module, and pushes the health data to the mobile terminal of the user.

[0116] The toilet ring assembly further includes a communication module 6 and a health detection module 7. The communication module 6 can be a wireless communication module 6. The communication module 6 is electrically connected to the controller 1. The intelligent toilet can be connected to a communication network through the communication module 6, and the communication network can be a local area network or the Internet. The intelligent toilet can be connected to the mobile terminal of the user through the communication module 6. The mobile terminal of the user can be a mobile phone, a smart watch, a tablet computer, etc. The mobile terminal of each user is associated with the identity information of the user.

[0117] The health detection module 7 is used to measure the health data of the user. The health data can be, for example, urine sugar concentration, urine protein concentration, and user body temperature. The health detection module 7 is electrically connected to the controller 1, and the health detection module 7 sends the detection results to the controller 1.

[0118] After the health data of the user is detected by the health detection module 7, the controller 1 can send the health data of the user to the mobile terminal of the user because the identity of the user has been recognized before. During the use of the intelligent toilet by the user, the intelligent toilet completes the detection of the health data of the user and automatically pushes the detection results to the user, and the user experience is better.

[0119] Those of ordinary skill in the art will realize and understand that all or some of the steps in the methods disclosed above and the functional modules / units in the systems and devices can be implemented as software, firmware, hardware, and appropriate combinations thereof. In hardware implementation, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component can have multiple functions, or one function or step can be performed by several physical components in cooperation. Some or all of the components can be implemented as software executed by a processor, such as a digital signal processor or a microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on computer-readable media, which can include computer storage media (or non-transitory media) and communication media (or transitory media). As is well known to those of ordinary skill in the art, the term "computer storage media" includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and that can be accessed by a computer. Furthermore, it is common and well understood by those of ordinary skill in the art that communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and can include any information delivery media.

Claims

1. A human body recognition method characterized by comprising: The method comprises the following steps: acquiring a current relative dielectric constant array, the current relative dielectric constant array comprising current relative dielectric constants at a plurality of detection points of a toilet rim of the intelligent toilet; performing similarity measurement on the current relative dielectric constant array and each preset relative dielectric constant array, which comprises the following steps: calculating the difference between the current relative dielectric constant of each detection point and the preset relative dielectric constant corresponding to the detection point to obtain the difference value corresponding to the detection point; and determining that the similarity between the current relative dielectric constant array and the preset relative dielectric constant array is greater than or equal to a preset degree based on the difference between the maximum difference value and the minimum difference value being less than or equal to a first preset threshold, or determining that the similarity between the current relative dielectric constant array and the preset relative dielectric constant array is greater than or equal to a preset degree based on the variance of all difference values being less than or equal to a second preset threshold; wherein the preset relative dielectric constant array comprises a plurality of preset relative dielectric constants, and the plurality of preset relative dielectric constants correspond to the plurality of detection points of the toilet rim respectively; and based on the similarity between the current relative dielectric constant array and a preset relative dielectric constant array being greater than or equal to a preset degree, confirming that the user currently using the intelligent toilet is the user corresponding to the preset relative dielectric constant array, and acquiring a preset functional parameter corresponding to the preset relative dielectric constant array to configure the intelligent toilet with the preset functional parameter.

2. The human recognition method of claim 1, wherein, The method further comprises the following steps: based on the similarity between the current relative dielectric constant array and all preset relative dielectric constant arrays being less than a preset degree, storing the current relative dielectric constant array as a preset relative dielectric constant array; after the user currently using the intelligent toilet, storing the functional parameter configured by the intelligent toilet last time during the use of the intelligent toilet by the user as the preset functional parameter corresponding to the preset relative dielectric constant array.

3. The human recognition method of claim 1, wherein, The method further comprises the following steps: based on the similarity between the current relative dielectric constant array and all preset relative dielectric constant arrays being less than a preset degree, prompting the user to sit on the toilet rim multiple times to measure the relative dielectric constant array of the user each time sitting on the toilet rim; averaging the relative dielectric constants of the measured plurality of relative dielectric constant arrays at the same detection point to obtain the average relative dielectric constant of each detection point, and storing the average relative dielectric constants of all detection points as a preset relative dielectric constant array; after the user currently using the intelligent toilet, storing the functional parameter configured by the intelligent toilet last time during the use of the intelligent toilet by the user as the preset functional parameter corresponding to the preset relative dielectric constant array.

4. The human recognition method of claim 1, wherein, The method further comprises the following steps: after the intelligent toilet is configured with the preset functional parameter, based on the user changing the functional parameter, changing the preset functional parameter corresponding to the preset relative dielectric constant array to the functional parameter changed by the user, the preset relative dielectric constant array being the preset relative dielectric constant array with a similarity greater than or equal to a preset degree with the current preset relative dielectric constant array.

5. The human recognition method of claim 1, wherein, The preset functional parameter comprises at least one of the following: a preset hip washing position, a preset female washing position, a preset flushing water volume, a preset flushing water temperature, a preset drying air speed, a preset drying air temperature, and a preset seat rim temperature.

6. The human recognition method of claim 1, wherein, The method further comprises the following steps: After confirming that the user currently using the intelligent closestool is the user corresponding to the preset relative dielectric constant, health data of the user is acquired, and the health data is pushed to a mobile terminal of the user.

7. A toilet ring assembly characterized by, The closestool comprises: a closestool rim having a front surface for supporting a human body and a back surface opposite to the front surface; a measurement assembly comprising a plurality of capacitive sensors, each of the capacitive sensors being arranged at a different detection point on the back surface of the closestool rim, and each of the capacitive sensors being configured to measure a relative dielectric constant at the detection point where the capacitive sensor is arranged; a controller electrically connected to the measurement assembly, and the controller being configured to execute the human body recognition method according to any one of claims 1 to 6.

8. A smart toilet, characterized by, The closestool rim assembly comprises the closestool rim according to claim 7.

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