Defecation condition recognition method and device and intelligent defecation system

Abstract

The embodiment of the application relates to a defecation state recognition method and device and an intelligent defecation system, the method comprising: obtaining weight sensing data collected by a user in a defecation process from a weight sensor; judging whether the user leaves the defecation device based on the weight sensing data; if the user leaves the defecation device, obtaining defecation sensing data collected for the current defecation; and recognizing the defecation state of the user based on the defecation sensing data to obtain defecation state information of the user. The embodiment of the application greatly improves the convenience and efficiency of detecting the defecation state of the user. The defecation sensing data is collected when the user leaves the defecation device, so that the privacy information of the user can be avoided in the collected information, and the degree of privacy protection of the user is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of smart home, and particularly relates to a defecation condition identification method and device and a smart defecation device system. BACKGROUND

[0002] With the development of science and technology, smart home is applied more and more, which can bring great convenience to user life. Based on the health management of smart home, various data can be collected through various sensors and sent to a decision center (such as a central control, a server, etc.), and the decision center issues an execution strategy according to various data.

[0003] By judging the characteristics such as appearance and discharge amount of feces and urine, the health condition of a human body can be evaluated. By using a smart defecation device and combining image recognition, the efficiency of judgment can be greatly improved.

[0004] At present, the judgment of excretion is usually performed by manual shooting, sampling and the like, and then image recognition and component detection are performed. The degree of automation is low, and the convenience of identification operation is poor. SUMMARY

[0005] In view of this, in order to solve part or all of the above technical problems, the embodiments of the present application provide a defecation condition identification method, device and smart defecation device system.

[0006] In a first aspect, the embodiments of the present application provide a defecation condition identification method, which comprises: acquiring weight sensing data collected by a weight sensor during a user's defecation process; judging whether the user leaves a defecation device based on the weight sensing data; if the user leaves the defecation device, acquiring defecation sensing data collected for the current defecation; and identifying the defecation condition of the user based on the defecation sensing data to obtain defecation condition information of the user.

[0007] In a second aspect, the embodiments of the present application provide a smart defecation device system, which comprises: a defecation device, a weight sensor, a defecation sensing sensor and a data processing device, the weight sensor is arranged on the ground where the defecation device is located; the weight sensor and the defecation sensing sensor are connected with the data processing device; the weight sensor is used to collect weight sensing data of a user during the user's defecation process; the defecation sensing sensor is used to collect defecation sensing data during the user's defecation process; and the data processing device is used to execute the defecation condition identification method described in the first aspect based on the weight sensing data and the defecation sensing data.

[0008] In a third aspect, an embodiment of the present application provides a defecation condition recognition device, which comprises: a first acquisition module configured to acquire weight sensing data collected by a weight sensor during a user's defecation process; a judgment module configured to judge whether the user leaves a toilet based on the weight sensing data; a second acquisition module configured to acquire defecation sensing data collected for the current defecation if the user leaves the toilet; and a recognition module configured to recognize the defecation condition of the user based on the defecation sensing data, and obtain defecation condition information of the user.

[0009] In a fourth aspect, an embodiment of the present application provides an electronic device, which comprises: a memory configured to store a computer program; and a processor configured to execute the computer program stored in the memory, and the computer program, when executed, implements the method of any one of the embodiments of the defecation condition recognition method of the first aspect of the present application.

[0010] In a fifth aspect, an embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program, when executed by a processor, implements the method of any one of the embodiments of the defecation condition recognition method of the first aspect of the present application.

[0011] In a sixth aspect, an embodiment of the present application provides a computer program, which comprises computer readable code, and when the computer readable code runs on a device, causes a processor in the device to implement the method of any one of the embodiments of the defecation condition recognition method of the first aspect of the present application.

[0012] The defecation condition recognition method, device and intelligent toilet system provided by the embodiments of the present application acquire weight sensing data collected by a weight sensor during a user's defecation process, judge whether the user leaves a toilet based on the weight sensing data, acquire defecation sensing data collected for the current defecation if the user leaves the toilet, recognize the defecation condition of the user based on the defecation sensing data, and obtain defecation condition information of the user. The embodiments of the present application realize automatic information collection and recognition of the defecation condition of the user when the user leaves the toilet according to the weight sensor sensing the presence of the user, thereby greatly improving the convenience and efficiency of detecting the defecation condition of the user. Moreover, the defecation sensing data is collected when the user leaves the toilet, which can avoid the inclusion of private information of the user in the collected information, and helps to improve the degree of user privacy protection. BRIEF DESCRIPTION OF DRAWINGS

[0013] The accompanying drawings, which are incorporated herein and form part of the specification, illustrate embodiments consistent with the present application and, together with the description, further serve to explain the principles of the application.

[0014] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced as follows. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0015] One or more embodiments are illustrated by way of example in the drawings that are not intended to be limiting of the embodiments. Like references indicate similar elements in the drawings and the specification. The drawings are not necessarily to scale, the emphasis instead being placed upon illustrating the principles of the embodiments.

[0016] Figure 1 A flowchart of a defecation condition recognition method provided by an embodiment of the present application;

[0017] Figure 2 A flowchart of another defecation condition recognition method provided by an embodiment of the present application;

[0018] Figure 3 A flowchart of another defecation condition recognition method provided by an embodiment of the present application;

[0019] Figure 4 A flowchart of another defecation condition recognition method provided by an embodiment of the present application;

[0020] Figure 5 A flowchart of another defecation condition recognition method provided by an embodiment of the present application;

[0021] Figure 6 A schematic diagram of a change of body weight sensing data in a user defecation process provided by an embodiment of the present application;

[0022] Figure 7 A flowchart of another defecation condition recognition method provided by an embodiment of the present application;

[0023] Figure 8 A structural schematic diagram of an intelligent defecation device system provided by an embodiment of the present application;

[0024] Figure 9 A structural schematic diagram of another intelligent defecation device system provided by an embodiment of the present application;

[0025] Figure 10 A schematic diagram of a connection mode of a register and a comparator provided by an embodiment of the present application;

[0026] Figure 11 A schematic diagram of a circuit structure of a register and a comparator provided by an embodiment of the present application;

[0027] Figure 12Another structure diagram of the intelligent toilet system provided by the embodiment of the present application is shown in FIG. 6.

[0028] Figure 13 A connection mode diagram of the controlled switch provided by the embodiment of the present application is shown in FIG. 7.

[0029] Figure 14 Another structure diagram of the intelligent toilet system provided by the embodiment of the present application is shown in FIG. 6.

[0030] Figure 15 A structure diagram of the defecation condition recognition device provided by the embodiment of the present application is shown in FIG. 8.

[0031] Figure 16 A structure diagram of the electronic device provided by the embodiment of the present application is shown in FIG. 9. DETAILED DESCRIPTION

[0032] Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, and thus are not to limit the present application in any way.

[0033] Those skilled in the art can understand that the terms "first", "second" and the like in the embodiments of the present application are only used to distinguish different steps, devices or modules, and do not represent any specific technical meaning, nor represent the logical sequence thereof.

[0034] It should also be understood that in the present embodiment, "a plurality of" can mean two or more, and "at least one" can mean one, two or more.

[0035] It should also be understood that for any component, data or structure mentioned in the embodiments of the present application, it can be understood as one or more in general, without explicit limitation or in the context of the opposite indication.

[0036] In addition, the term "and / or" in the present application is only a description of the association relationship between the associated objects, which means that there can be three relationships, for example, A and / or B can mean that there are three cases of A alone, A and B together, and B alone. In addition, the character " / " in the present application generally represents an "or" relationship between the associated objects.

[0037] It should also be understood that the description of various embodiments of the present application focuses on the differences between various embodiments, and the same or similar parts can be referred to each other, and for the sake of brevity, will not be repeated.

[0038] The following description of at least one exemplary embodiment is merely illustrative and is in no way intended to limit the scope of this application and its application or use.

[0039] Techniques, circuits, and devices known to a person skilled in the art may not be discussed in detail, but where appropriate, such techniques, circuits, and devices should be considered part of the specification.

[0040] It should be noted that similar labels and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be discussed further in subsequent figures.

[0041] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. To facilitate understanding of the embodiments of this application, the application will be described in detail below with reference to the accompanying drawings and embodiments. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0042] To address the issues of low automation and insufficient privacy protection in existing technologies for detecting user defecation status, this application provides a defecation status recognition method that can automatically identify user defecation status, improve the efficiency of defecation status recognition, and reduce the risk of user privacy leakage.

[0043] Figure 1 This is a flowchart illustrating a method for recognizing defecation status provided in an embodiment of this application. This method can be applied to a smart toilet and executed by a controller included in the smart toilet, or by one or more electronic devices such as a server, smartphone, desktop computer, or laptop. These electronic devices can connect to the smart toilet, receive data collected by the smart toilet, and execute this method based on the collected data to obtain the user's defecation status information.

[0044] Furthermore, the execution entity of this method can be either hardware or software. When the execution entity is hardware, it can be one or more of the aforementioned controller and electronic devices. For example, a single electronic device can execute this method, or multiple electronic devices can cooperate with each other to execute this method. When the execution entity is software, this method can be implemented as multiple software programs or software modules, or as a single software program or software module. No specific limitations are made here.

[0045] like Figure 1 As shown, the method specifically includes:

[0046] Step 101, obtaining weight sensing data collected by the weight sensor during the user's defecation process.

[0047] In some embodiments, the weight sensor is connected with an electronic device performing the method, and can detect the pressure generated by the user to the weight sensor in real time during the user's defecation process using the toilet.

[0048] Step 102, determining whether the user leaves the toilet based on the weight sensing data.

[0049] In some embodiments, the electronic device can determine whether the user is using the toilet according to the size of the collected weight sensing data, and determine that the user leaves the toilet when detecting that the weight sensing data decreases from greater than a preset threshold to less than the preset threshold.

[0050] Step 103, if the user leaves the toilet, obtaining defecation sensing data collected for the current defecation.

[0051] In some embodiments, the defecation sensing data can be data collected by the sensor during the user's defecation process. For example, the defecation sensing data can include a stool image, and can also include the weight of the stool, the contact time of the user with the toilet, and the like.

[0052] Step 104, identifying the defecation condition of the user based on the defecation sensing data to obtain defecation condition information of the user.

[0053] In some embodiments, the electronic device can identify the defecation sensing data, extract feature data representing the user's defecation condition from the defecation sensing data, and process the feature data by classification, statistics, and the like to obtain the defecation condition information. The defecation condition information can be used to evaluate the health status of the user. The defecation condition information can be saved locally or sent to a remote device through a network.

[0054] As an example, when the defecation sensing data is a stool image, an image recognition model can be used to identify the stool image to obtain features such as the shape and color of the stool, and search for defecation condition information corresponding to the features from a preset database.

[0055] The defecation condition recognition method provided in the embodiments of the present application acquires the weight sensing data collected by the user in the defecation process from the weight sensor, judges whether the user leaves the toilet based on the weight sensing data, acquires the defecation sensing data collected for the current defecation if the user leaves the toilet, and recognizes the defecation condition of the user based on the defecation sensing data to obtain the defecation condition information of the user. The embodiments of the present application realize automatic information collection and recognition of the defecation condition of the user when the user leaves the toilet according to the weight sensor sensing the presence of the user, thereby greatly improving the convenience and efficiency of detecting the defecation condition of the user. Moreover, the defecation sensing data is collected when the user leaves the toilet, which can avoid the inclusion of the private information of the user in the collected information, and helps to improve the degree of protection of the privacy of the user.

[0056] In some optional implementations, as shown in Figure 2 Step 102 includes:

[0057] Step 1021, comparing the first weight sensing data collected at the current time with the second weight sensing data collected at the previous time to obtain a comparison result.

[0058] The electronic device can record the weight sensing data collected at different times in real time, for example, a register, a buffer, or the like can be used to save the weight sensing data at the current time and the previous time.

[0059] Step 1022, if the comparison result indicates that the first weight sensing data is less than the second weight sensing data, and the first weight sensing data is less than a preset weight sensing threshold, it is determined that the user leaves the toilet.

[0060] Specifically, the weight sensing data collected by the weight sensor is unstable during the use of the toilet by the user, and therefore, the above two judgment conditions can be set. When the first weight sensing data is less than the second weight sensing data, it indicates that the user may leave the toilet. If it is further judged that the current first weight sensing data is less than the preset weight sensing threshold, it can be determined that the user leaves the toilet.

[0061] The embodiments compare the weight sensing data collected at different times, and compare the weight sensing data with the preset weight sensing threshold, thereby realizing accurate judgment of the time when the user leaves the toilet, and further timely and accurately triggering the collection of the defecation sensing data, thereby improving the efficiency of the defecation condition recognition and reducing the risk of leakage of the private information of the user.

[0062] In some optional implementations, as shown in Figure 3 Step 103 includes:

[0063] Step 1031, sending a closing instruction to the controlled motor included in the toilet.

[0064] The controlled motor is used to drive the toilet cover to open or close, and the toilet cover is controlled to close when it is determined that the user leaves the toilet.

[0065] At step 1032, in response to completion of closing of the toilet cover, a camera arranged on the toilet cover is controlled to capture an image of the excrement in the toilet.

[0066] Specifically, if the indication signal fed back after closing of the toilet cover is received, a shooting instruction can be sent to the camera on the toilet cover.

[0067] Step 104 includes:

[0068] At step 1041, based on the image of the excrement, a toilet condition recognition is performed to obtain first toilet condition information of the user.

[0069] Specifically, after the image of the excrement captured by the camera is obtained, a pre-trained excrement recognition model can be used to recognize the image of the excrement to obtain the first toilet condition information. The first toilet condition information can represent the shape, color and other characteristics of the excrement, and based on these characteristics, the health status of the user can be further determined. The first toilet condition information can be saved to the local or server for further analysis of the health status of the user; or the first toilet condition information can be sent to the terminal device used by the user for the user to view.

[0070] In this embodiment, by capturing an image by the camera after the user leaves the toilet and the toilet cover is closed, and performing toilet condition recognition based on the captured image, it is ensured that the captured image only contains the image in the toilet, and the security of the privacy of the user is further improved.

[0071] In some optional implementations, as shown in Figure 4 Step 103 includes:

[0072] At step 1033, a human body sensing signal is obtained from a human body sensing device arranged on the toilet as the excretion sensing data.

[0073] The human body sensing device is used to sense a signal generated when the user performs an excretion action. As an example, a conductive electrode can be arranged on the toilet, and when the skin of the user contacts the conductive electrode, a human body sensing signal is generated, and when the skin of the user is away from the conductive electrode, the human body sensing signal disappears. As another example, the human body sensing device can be an infrared distance measuring device, and when it is detected that the distance between the user and the distance measuring device is less than a distance threshold, a human body sensing signal is generated, and when it is detected that the distance between the user and the distance measuring device is greater than the distance threshold, the human body sensing signal disappears.

[0074] Step 104 includes:

[0075] Step 1042, record the time length from the time when the human body sensing signal is detected to the time when the human body sensing signal disappears for the first time as the defecation time length.

[0076] For example, the time when the human body sensing signal is detected is t0, a period of time elapses after t0, and at t1, the human body sensing signal disappears for the first time. The time length between t0 and t1 is the defecation time length.

[0077] Step 1043, generate the second defecation condition information of the user based on the defecation time length.

[0078] The second defecation condition information can reflect the health state corresponding to the defecation time length of the user. For example, a plurality of defecation time length thresholds can be set, including S1, S2, S3, and the defecation time length is T. If T < S1, it indicates that the defecation condition is good, if S1 < T < S2, it indicates that the user has mild constipation, if S2 < T < S3, it indicates that the user has moderate constipation, and if T > S3, it indicates that the user has severe constipation.

[0079] The second defecation condition information can be saved to the local or server for further analysis of the health state of the user, or the second defecation condition information can be sent to the terminal device used by the user for the user to view.

[0080] The embodiment uses the human body sensing device to detect the defecation time length of the user, reflects the defecation condition by the defecation time length, further enriches the types of defecation sensing data, and improves the accuracy of defecation condition recognition.

[0081] In some optional implementations, as shown in Figure 5 After step 101, the method further includes:

[0082] Step 105, determining the first body weight data before defecation and the second body weight data after defecation based on the real-time change amount of the body weight sensing data.

[0083] Specifically, the real-time change amount of the body weight sensing data can be judged according to the change rule of the body weight sensing data when the user defecates, so as to determine the body weight data before and after defecation. As shown in Figure 6 The change of the body weight sensing data in the defecation process of the user is shown. Figure 6 In the corresponding scenario, the body weight sensor can be arranged on the ground in front of the toilet. Among them, T1 stage represents the stage when the user steps into the body weight sensor, T2 stage represents the stage when the user completely applies the body weight to the body weight sensor, T3 and T4 stages represent the time period when the user enters the toilet, at this time the body weight sensor bears part of the body weight, T5 stage represents the stage when the user stands after entering the toilet, and T6 stage represents the stage when the user leaves the toilet. From Figure 6It can be known that the first weight data before defecation and the second weight data after defecation can be obtained by taking the mean of the weight sensing data in the T2 and T5 stages respectively.

[0084] In step 106, the weight of the current defecation of the user is determined as the third defecation condition information based on the difference between the first weight data and the second weight data.

[0085] The defecation weight can be stored in a local or remote server to count the defecation amount of the user and reflect the health status of the user.

[0086] The embodiment records the change of the weight sensing data in real time, and then determines the defecation weight according to the weight change before and after defecation, which further enriches the data reflecting the defecation condition of the user and helps to improve the accuracy of defecation condition recognition.

[0087] In some optional implementation manners, as shown in Figure 7 After step 104, the method further includes:

[0088] In step 107, food information representing the types of food currently stored in the target refrigerator is obtained.

[0089] Specifically, the target refrigerator is a refrigerator connected with the electronic device that executes the method. The target refrigerator can obtain the food information by capturing the image of the food in the refrigerator and recognizing the food image. After obtaining the defecation condition information, the electronic device sends a request to the target refrigerator, and the refrigerator can send the food information to the electronic device.

[0090] In step 108, the target food type matched with the defecation condition information is determined based on the food information.

[0091] In step 109, the diet recommendation information corresponding to the user is generated based on the target food type.

[0092] As an example, if the defecation condition information indicates that the user has constipation, the user can be recommended to eat foods that can moisten the intestines and strengthen the peristalsis of the intestines according to the food information. If the change of the shape of the user's stool is detected, the user can be provided with the recommendation of food that is easy to digest or cooking method that is easy to digest according to the food information. If the change of the color of the user's stool is detected, the food in the refrigerator can be determined to be the cause by using a big data model according to the food information, and then a prompt is sent to the user. Further, if the growth of the weight of the user in a certain time range exceeds a preset threshold, the user can be preferentially recommended to eat foods and methods that can reduce fat according to the food information.

[0093] The embodiment associates the defecation device with the intelligent refrigerator, realizes the automatic detection of the defecation condition and the recommendation of food, and helps to improve the accuracy of the health monitoring of the user and the pertinence of the recommendation of the diet information to the user.

[0094] Figure 8 A structural schematic diagram of an intelligent toilet system is provided in the embodiments of the present application. The system specifically comprises a toilet 801, a body weight sensor 802, a defecation sensing sensor 803 and a data processing device 804, the body weight sensor 802 is arranged on the ground where the toilet 801 is located; the body weight sensor 802 and the defecation sensing sensor 803 are both connected with the data processing device 804.

[0095] The data processing device 804 described above can be a special device arranged on the toilet 801, such as an embedded microprocessor, etc. The data processing device 804 can also be a central control device connected with the toilet, or a server, a smart phone, a personal computer, etc.

[0096] The body weight sensor 802 is used to collect body weight sensing data of a user during the user's defecation process. As shown in Figure 8 The body weight sensor 802 is arranged on the ground in front of the toilet 801, and the user can step on the body weight sensor 802 when using the toilet 801, so that the body weight sensor 802 senses the body weight of the user.

[0097] The defecation sensing sensor 803 is used to collect defecation sensing data during the user's defecation process. The defecation sensing sensor 803 can include a camera, a human body sensing device, etc., and the collected image, human body sensing signal can be used as the defecation sensing data.

[0098] The data processing device 804 is used to execute the defecation condition recognition method described in the above embodiments based on the body weight sensing data and the defecation sensing data. The specific execution steps of the data processing device 804 can refer to the above method embodiments, which will not be described here.

[0099] The intelligent toilet system provided in the embodiments of the present application can accurately detect the user's defecation process according to the body weight data of the user by arranging the body weight sensor on the ground, and can automatically monitor the user's defecation process by executing the above defecation condition recognition method by the data processing device, thereby greatly improving the convenience and efficiency of detecting the defecation condition of the user. The defecation sensing data can be collected by the defecation sensing sensor when the user leaves the toilet, which can avoid containing the user's private information in the collected information, and is helpful to improve the degree of user privacy protection.

[0100] In some optional implementations, as Figure 9As shown, the defecation sensing sensor 803 includes a camera 8031, which is mounted on the toilet bowl 801 and connected to a data processing device 804. Typically, to protect user privacy, the camera 8031's field of view can only include the interior of the toilet bowl 801. For example, it can be mounted on the inner wall before defecation to capture images into the toilet bowl 801.

[0101] The data processing device 804 is also used to: if it detects that the user has left the toilet 801, control the camera 8031 ​​to take a picture of the excrement inside the toilet 801; and perform a defecation health test based on the excrement image to obtain the user's first defecation status information.

[0102] The strategy for detecting whether a user has left the toilet 801 can be referred to the above method embodiment, and will not be repeated here. After acquiring the excrement image captured by the camera 8031, a pre-trained excrement recognition model can be used to recognize the excrement image and obtain the first defecation status information. The first defecation status information can represent features such as the shape and color of the excrement. Based on these features, the user's health status can be further determined. The first defecation status information can be saved locally or on a server for further analysis of the user's health status; alternatively, the first defecation status information can be sent to the user's terminal device for the user to view.

[0103] This embodiment uses a camera to capture images for defecation status recognition, enabling automatic detection of the user's defecation status using image recognition methods. This allows for more efficient and accurate identification of the user's defecation status, and the camera takes pictures only after the user leaves the toilet, reducing the risk of user privacy leakage.

[0104] In some alternative implementations, such as Figure 9 As shown, the toilet 801 includes a toilet cover 8011, a controlled motor 8012 is provided on the toilet cover 8011, the controlled motor 8012 is connected to the data processing device 804, and a camera 8031 ​​is provided on the toilet cover 8011.

[0105] The aforementioned controlled motor 8012 is used to drive the toilet 801 to close or open under the control of the data processing device 804.

[0106] Data processing device 804 is also used for:

[0107] If the user is detected leaving the toilet 801, a closing command is sent to the controlled motor 8012, causing the controlled motor 8012 to drive the toilet lid 8011 to close; in response to the detection that the toilet lid 8011 has been closed, the camera 8031 ​​is controlled to take an image of the excrement inside the toilet 801.

[0108] Specifically, after the toilet lid 8011 is closed, the shooting direction of the camera 8031 is towards the inside of the toilet 801. If the data processing device 804 receives the indication signal fed back after the toilet lid 8011 is closed, the data processing device 804 can send a shooting instruction to the camera 8031. After receiving the shooting instruction, the camera 8031 shoots an image of the excrement in the toilet 801 and feeds back the shot image to the data processing device 804.

[0109] The embodiment achieves the safety of user privacy by setting the camera on the toilet lid, shooting an image by the camera after the user leaves the toilet and the toilet lid is closed, and identifying the defecation condition, so that the shot image only contains the image in the toilet, and the safety of user privacy is further improved.

[0110] In some optional implementations, as shown in Figure 10 The data processing device 804 includes a register 8041 and a comparator 8042, and the register 8041 is configured to:

[0111] store the second weight sensing data collected at the previous moment, and input the second weight sensing data into the comparator 8042.

[0112] The comparator 8042 is configured to:

[0113] receive the input second weight sensing data, the first weight sensing data collected at the current moment and the preset reference weight data, and compare the size relationship among the first weight sensing data, the second weight sensing data and the reference weight data; if the first weight sensing data is less than the second weight sensing data, and the first weight sensing data is less than the reference weight data, send an indication signal indicating that the user leaves the toilet 801 to the data processing device 804.

[0114] The reference weight data is a preset weight sensing threshold, and the reference weight data can be between the average weight data at the T4 stage and 0. Figure 6 The comparator 8042 can compare the size relationship between the first weight sensing data and the second weight sensing data, and compare the size relationship between the first weight sensing data and the reference weight data. When the first weight sensing data is less than the second weight sensing data, and the first weight sensing data is less than the reference weight data, it indicates that the user no longer applies pressure to the weight sensor 802, i.e., the user leaves the toilet 801.

[0115] The embodiment achieves real-time monitoring of the change of the collected weight sensing data by setting the register and the comparator in the data processing device, which is more efficient than the software mode, and the efficiency of determining whether the user leaves the toilet 801 is higher.

[0116] In some optional implementations, as shown inFigure 11 As shown, the comparator 8042 includes a first comparator U1, a second comparator U2 and a logic operator U3; the outputs of the first and second comparators are connected to the logic operator.

[0117] The first comparator is configured to receive the first weight sensing data and the second weight sensing data, and output a first comparison signal A.

[0118] The second comparator is configured to receive the first weight sensing data and receive the input reference weight data, and output a second comparison signal B.

[0119] The logic operator is configured to perform a logic operation on the first comparison signal and the second comparison signal to obtain an indication signal Q.

[0120] Figure 11 The register 8041 can output a voltage signal V i (representing the size of the second weight sensing data, which can be converted from a digital signal to an analog voltage signal by a digital-to-analog converter), V i+1 is a voltage signal representing the size of the first weight sensing data. ref is a voltage signal representing the size of the reference weight data. ref The voltage signal can be obtained by dividing a power supply voltage VCC1 by resistors R1 and R2.

[0121] V i is input to the non-inverting input of the first comparator. i+1 is input to the inverting input of the first comparator. When V i+1 <V i , the first comparator outputs A as a high level, representing a digital 1. At the same time, V i+1 is input to the inverting input of the second comparator, and Vref is input to the non-inverting input of the second comparator. When V i+1 <V ref , the second comparator outputs B as a high level, representing a digital 1. Figure 11 The logic operator is an AND gate, i.e., when A and B are both 1, Q is output as 1, indicating that the user has left the toilet 801.

[0122] It should be noted that Figure 11 is only an exemplary circuit diagram, and the connection mode of the first comparator, the second comparator and V i , V i+1 , Vref, and the type of the logic operator can be arbitrarily set, as long as the above logical relationship is met. For example, the logic operator can be an OR gate, and the signals received by the two input terminals of the first comparator are adjusted so that the first comparator can output A as 1 when V i+1 <V iThe first comparator outputs 0 when V i+1 The second comparator outputs 0 when V ref The or gate outputs 0 at this time, indicating that the user leaves the toilet 801.

[0123] The embodiment achieves the function of the comparator by setting the first comparator, the second comparator and the logic operator, realizes the comparison of the weight sensing data by using simple hardware, and further improves the efficiency of determining whether the user leaves the toilet.

[0124] In some optional implementations, as shown in Figure 12 The toilet 801 is provided with a human body sensing device 8013, and the human body sensing device 8013 is connected to the data processing device 804.

[0125] The human body sensing device 8013 is configured to: when detecting that the user is in contact with the human body sensing device 8013, send a human body sensing signal to the data processing device 804; and when detecting that the user is no longer in contact with the human body sensing device 8013, stop sending the human body sensing signal to the data processing device 804.

[0126] The human body sensing device 8013 is configured to sense a signal generated by the user when performing a defecation action. As an example, a conductive electrode can be provided on the toilet 801, and when the user's skin contacts the conductive electrode, a human body sensing signal is generated, and when the user's skin is away from the conductive electrode, the human body sensing signal disappears. For another example, the human body sensing device 8013 can be an infrared distance measuring device, and when it is detected that the distance between the user and the distance measuring device is less than a distance threshold, a human body sensing signal is generated, and when it is detected that the distance between the user and the distance measuring device is greater than the distance threshold, the human body sensing signal disappears.

[0127] The data processing device 804 is further configured to:

[0128] record a time length elapsed between a time when the human body sensing signal is detected and a time when the human body sensing signal disappears for the first time as a defecation time length; and generate second defecation condition information of the user based on the defecation time length.

[0129] The steps performed by the data processing device 804 in the embodiment can refer to the corresponding embodiments described above, and will not be described herein. Figure 4 The steps performed by the data processing device 804 in the embodiment can refer to the corresponding embodiments described above, and will not be described herein.

[0130] The embodiment further enriches the types of defecation sensing data and improves the accuracy of defecation condition recognition by using the human body sensing device to detect the defecation time length of the user and reflecting the defecation condition by using the defecation time length.

[0131] In some optional implementations, the human sensing device 8013 includes at least one pair of conductive thin layers, each pair of conductive thin layers is attached to the gasket of the toilet 801, and each pair of conductive thin layers is connected to the voltage output end of the data processing device 804.

[0132] Each pair of conductive thin layers in the at least one pair of conductive thin layers is configured to generate an amount of change in an electrical signal when the skin of the user contacts the pair of conductive thin layers, and transmit the amount of change in the electrical signal to the data processing device 804 as a human sensing signal.

[0133] As shown in Figure 12 , Pa and Pb are a pair of conductive thin layers, Pa and Pb are respectively connected to the data processing device 804, and the data processing device 804 generates a voltage difference on Pa and Pb. If the user's skin contacts Pa and Pb, a limited resistance will be applied between Pa and Pb, generating an electrical signal change. By detecting the resistance change or current change at the two ends of Pa and Pb, the amount of change in the electrical signal can be determined, and the amount of change in the electrical signal can be further transmitted to the data processing device 804. The data processing device 804 can detect the duration of the user's defecation according to the amount of change in the electrical signal.

[0134] Optionally, in order to ensure the accuracy of human sensing, the number of conductive thin layers can be greater than one pair, for example, Pc and Pd can be added on the basis of Pa and Pb. The user can be determined to contact the toilet 801 when an electrical signal change is detected in any one of the two pairs of conductive thin layers.

[0135] The embodiment detects whether the user contacts the toilet by setting at least one pair of conductive thin layers, which can fully utilize the posture characteristics of the user using the toilet, improve the accuracy of determining whether the user contacts the toilet, and the circuit structure is simple and easy to implement, which helps to improve system manufacturing efficiency and reduce cost.

[0136] In some optional implementations, as shown in Figure 13 , the system further includes a camera 8031 and a controlled switch 805, the camera 8031 is arranged on the toilet cover 8011 included in the toilet 801, the camera 8031 is connected with a signal transmission contact arranged on the toilet cover 8011, and the signal transmission contact corresponds to a target pair of conductive thin layers in the at least one pair of conductive thin layers.

[0137] The installation position of the camera 8031 can refer to the above Figure 9 . The above signal transmission contact can correspond to any conductive thin layer, as shown in Figure 12 , the signal transmission contact Pa' corresponds to the target conductive thin layer Pa. When the toilet cover 8011 is closed, Pa' can contact Pa.

[0138] As shown in Figure 13As shown, the common terminal P1 of the controlled switch 805 is connected with the target conductive thin layer Pa, and two signal switching terminals P2 and P3 of the controlled switch 805 are respectively connected with the voltage output terminal VCC and the image input terminal Di of the data processing device 804. GPIO in the figure is an input and output (IO) port of the data processing device 804, which is used to control the connection state of the P1 switch.

[0139] The data processing device 804 is further configured to:

[0140] If it is detected that the user does not leave the closestool 801, the common terminal is connected to the voltage output terminal, so that the voltage output terminal provides voltage for the target conductive thin layer; if it is detected that the user leaves the closestool 801, the common terminal is connected to the image input terminal, so that the excrement image data photographed by the camera 8031 after the closestool cover 8011 is closed is transmitted to the data processing device 804 through the signal transmission contact, the target conductive thin layer and the image input terminal.

[0141] Specifically, when the user does not leave the closestool 801, the camera 8031 is not triggered to photograph, and at this time the data processing device 804 provides voltage for the target conductive thin layer Pa through the P2 port of the controlled switch 805; when the user leaves the closestool 801, the closestool 801 is closed, and at this time the camera 8031 is triggered to photograph, Pa and Pa' are in contact, and the excrement image data is transmitted to the data processing device 804 through the P3 port of the controlled switch 805.

[0142] Optionally, the number of target conductive thin layers and the number of signal transmission contacts can be one or more, and the target conductive thin layer can also be used to supply power for the camera 8031 in addition to being used to transmit image data. That is, one signal transmission contact is connected to the power supply end of the camera 8031, and one signal switching terminal of the controlled switch 805 can be connected to the voltage output terminal of the data processing device 804, so that the data processing device 804 supplies power for the camera 8031 through the signal transmission contact when the closestool cover 8011 is closed.

[0143] Some intelligent closestools currently available are provided with a camera, and the camera is electrically connected with a controller, so that there is a risk that the controller is controlled by an outsider to cause privacy leakage. The embodiment realizes multiplexing of the data transmission port of the camera and the voltage input port of the target conductive thin layer by arranging the controlled switch and the signal transmission contact, so that the integration of the system is improved, the circuit structure is simplified, and at the same time, the camera 8031 cannot transmit data before the closestool cover is closed, so that the security of the user privacy is further improved.

[0144] In some optional implementation manners, for example, Figure 14As shown, the system further comprises a refrigerator 806 connected with the data processing device 804, and the refrigerator 806 is configured to: identify a food category in the refrigerator 806 to obtain food information.

[0145] Specifically, the refrigerator 806 can obtain the food information by capturing an image of the food in the refrigerator 806 and identifying the image of the food to obtain food information. After obtaining the defecation condition information, the data processing device 804 sends a request to the target refrigerator 806, and the refrigerator 806 sends the food information to the data processing device 804.

[0146] The data processing device 804 is further configured to:

[0147] obtain the food information from the refrigerator 806; determine a target food category matched with the defecation condition information based on the food information; and generate diet recommendation information corresponding to the user based on the target food category.

[0148] The steps performed by the data processing device 804 in this embodiment can refer to the above Figure 7 The corresponding embodiments are not described herein again.

[0149] In this embodiment, the intelligent refrigerator is arranged in the intelligent defecation device system, so that the defecation condition detection and food recommendation are automatically performed, which helps to improve the accuracy of user health monitoring and the pertinence of diet information recommended to the user.

[0150] Figure 15 A structure diagram of a defecation condition identification device provided in an embodiment of the present application is shown. Specifically, the structure diagram comprises: a first acquisition module 1501 configured to acquire weight sensing data collected by a weight sensor during defecation of a user; a judgment module 1502 configured to judge whether the user leaves a defecation device based on the weight sensing data; a second acquisition module 1503 configured to acquire defecation sensing data collected for the current defecation if the user leaves the defecation device; and an identification module 1504 configured to identify a defecation condition of the user based on the defecation sensing data to obtain defecation condition information of the user.

[0151] In some optional implementations, the judgment module comprises: a comparison unit configured to compare first weight sensing data collected at a current time with second weight sensing data collected at a previous time to obtain a comparison result; and a determination unit configured to determine that the user leaves the defecation device if the comparison result indicates that the first weight sensing data is less than the second weight sensing data and the first weight sensing data is less than a preset weight sensing threshold.

[0152] In some optional implementation, the second obtaining module comprises: a sending unit configured to send a closing instruction to a controlled motor included in the toilet; a photographing unit configured to, in response to completion of closing of the toilet cover, control a camera disposed on the toilet cover to photograph an excrement image inside the toilet; and the identification module is further configured to: based on the excrement image, perform toilet condition identification to obtain first toilet condition information of the user.

[0153] In some optional implementation, the second obtaining module comprises: an obtaining unit configured to obtain a human body sensing signal from a human body sensing device disposed on the toilet as the toilet sensing data; and the identification module comprises: a recording unit configured to record a time length between a time when the human body sensing signal is detected and a time when the human body sensing signal disappears for the first time as a toilet time length; and a generating unit configured to generate second toilet condition information of the user based on the toilet time length.

[0154] In some optional implementation, the apparatus further comprises: a first determining module configured to determine first weight data before the user defecates and second weight data after the user defecates based on a real-time change amount of the weight sensing data; and a second determining module configured to determine a defecation weight of the user based on a difference between the first weight data and the second weight data, and determine the defecation weight of the user as third toilet condition information.

[0155] In some optional implementation, the apparatus further comprises: a third obtaining module configured to obtain food information representing a type of food currently stored in the target refrigerator; a third determining module configured to determine a target food type matching the toilet condition information based on the food information; and a generating module configured to generate corresponding diet recommendation information of the user based on the target food type.

[0156] The toilet condition identification apparatus provided in the embodiment can be a toilet condition identification apparatus as shown in Figure 15 , and can perform all steps of the above toilet condition identification methods, and further achieve the technical effects of the above toilet condition identification methods. For brevity, details are not described herein.

[0157] Figure 16 A structural schematic diagram of an electronic device provided in the embodiment, Figure 16 The electronic device 1600 shown in the embodiment includes at least one processor 1601, a memory 1602, at least one network interface 1604, and other user interfaces 1603. The various components in the electronic device 1600 are coupled together through a bus system 1605. It can be understood that the bus system 1605 is used to realize the connection and communication between the components. In addition to the data bus, the bus system 1605 also includes a power bus, a control bus, and a status signal bus. However, for the sake of clarity, only the data bus is shown in Figure 16Various buses are labeled as bus 1605.

[0158] The user interface 1603 can include a display, a keyboard, or a pointing device (e.g., a mouse, a trackball, a touchpad, or a touchscreen).

[0159] It can be understood that the memory 1602 in the embodiments of the present application can be a volatile memory or a nonvolatile memory, or can include both volatile and nonvolatile memory. The nonvolatile memory can be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically EPROM (EEPROM), or a flash memory. The volatile memory can be a Random Access Memory (RAM) used as an external cache. By way of example, and not limitation, many forms of RAM are available, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The memory 1602 described herein is intended to include, without being limited to, these and any other suitable types of memory.

[0160] In some embodiments, the memory 1602 stores the following elements, executable units or data structures, or a subset thereof, or an extended set thereof: an operating system 16021 and an application program 16022.

[0161] The operating system 16021 includes various system programs, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and processing hardware-based tasks. The application program 16022 includes various application programs, such as a Media Player, a Browser, etc., for implementing various application services. The program for implementing the method of the embodiments of the present application can be included in the application program 16022.

[0162] In the embodiment, the processor 1601 is configured to execute the method steps provided by the method embodiments by invoking the programs or instructions stored in the memory 1602, specifically, the programs or instructions stored in the application program 16022. For example, the processor 1601 is configured to execute the method steps provided by the method embodiments, including the following steps:

[0163] obtaining weight sensing data collected by the user during the defecation process from the weight sensor; determining whether the user leaves the toilet based on the weight sensing data; if the user leaves the toilet, obtaining defecation sensing data collected for the current defecation; and identifying the defecation condition of the user based on the defecation sensing data to obtain defecation condition information of the user.

[0164] The method disclosed in the embodiments of the present application can be applied to the processor 1601 or implemented by the processor 1601. The processor 1601 can be an integrated circuit chip having a signal processing capability. In the implementation process, the steps of the above method can be completed by hardware integrated logic circuits or software form instructions in the processor 1601. The processor 1601 described above can be a general processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The disclosed methods, steps and logic block diagrams in the embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor. The steps of the method disclosed in combination with the embodiments of the present application can be directly embodied as a hardware code processor for execution, or a combination of hardware and software units in the code processor for execution. The software unit can be located in a random access memory, a flash memory, a read only memory, a programmable read only memory, an electrically erasable programmable memory, a register or other mature storage media in the art. The storage medium is located in the memory 1602, and the processor 1601 reads the information in the memory 1602 and combines the hardware to complete the steps of the above method.

[0165] It can be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, microcode, or a combination thereof. For hardware implementation, the processing unit can be implemented in one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSP Devices, DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units designed to perform the functions described in the above other electronic units, or a combination thereof.

[0166] For software implementation, the technology described herein can be implemented by units performing the functions described herein. The software code can be stored in the memory and executed by the processor. The memory can be implemented in the processor or outside the processor.

[0167] The electronic device provided by the embodiments can be an electronic device as shown in Figure 16 The electronic device provided by the embodiments can be an electronic device as shown in

[0168] The embodiments of the present application also provide a storage medium (computer readable storage medium). The storage medium stores one or more programs. The storage medium can include a volatile memory, such as a random access memory; the memory can also include a non-volatile memory, such as a read-only memory, a flash memory, a hard disk or a solid state disk; the memory can also include a combination of the above kinds of memories.

[0169] When the one or more programs in the storage medium can be executed by one or more processors to implement the above-mentioned defecation condition recognition method executed on the side of the electronic device.

[0170] The above-mentioned processor is used to execute the program stored in the memory to implement the following steps of the defecation condition recognition method executed on the side of the electronic device:

[0171] Obtaining weight sensing data collected by the user during the defecation process from the weight sensor; judging whether the user leaves the toilet based on the weight sensing data; if the user leaves the toilet, obtaining defecation sensing data collected for this defecation; and identifying the defecation condition of the user based on the defecation sensing data to obtain the defecation condition information of the user.

[0172] Those skilled in the art will further appreciate that the units and algorithm steps of the examples described in connection with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or both. The disclosure is not limited to any one particular type of implementation; rather, the general principles described herein can be implemented in a wide variety of different hardware and software configurations.

[0173] The circuitry and algorithms described in connection with the embodiments disclosed herein can be embodied directly in hardware, software, or combination thereof. Software modules can reside in RAM, flash memory, ROM, electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), registers, hard disk, a removable disk, CD-ROM, or any other form of storage medium known in the art.

[0174] It should be understood that the terms used herein are for the purpose of describing particular embodiments and are not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises" and / or "comprising," and / or "includes" and / or "including" when used herein, specify the presence of stated features, steps, operations, elements, and / or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and / or groups thereof. The steps, processes, and operations described herein are not to be construed as necessarily requiring their occurrence in the particular order in which they are described, unless specifically identified as an order dependent step. It is also to be understood that additional or alternative steps can be employed.

[0175] The above description is that of current embodiments of the application. Various modifications and changes can be made thereto without departing from the spirit and scope of the application as set forth. The disclosure is not to be limited to the exact details shown or described, as these variations are intended to be included within the scope of the disclosure. Thus, other embodiments and modifications of this application will occur readily to those skilled in the art, and these variations are intended to be included within the scope of this application.

Claims

1. An intelligent toilet system, characterized by, The system comprises a toilet, a body weight sensor, a defecation sensing sensor and a data processing device, the body weight sensor is arranged on the ground where the toilet is located; the body weight sensor and the defecation sensing sensor are connected with the data processing device; The body weight sensor is used to collect the body weight sensing data of the user during the user's defecation process; The defecation sensing sensor is used to collect defecation sensing data during the user's defecation process; The data processing device is used to identify the defecation condition based on the body weight sensing data and the defecation sensing data; A human body sensing device is arranged on the toilet, the human body sensing device is connected with the data processing device, the human body sensing device comprises at least one pair of conductive thin layers, each pair of conductive thin layers is attached to the gasket of the toilet, and each pair of conductive thin layers is connected with the voltage output end of the data processing device; Each pair of conductive thin layers in the at least one pair of conductive thin layers is used to generate an electric signal change amount when the skin of the user contacts a pair of conductive thin layers, and transmit the electric signal change amount as the human body sensing signal to the data processing device; The system further comprises a camera and a controlled switch, the camera is arranged on the toilet cover of the toilet, the camera is connected with the signal transmission contact arranged on the toilet cover, and the signal transmission contact corresponds to a target conductive thin layer in the at least one pair of conductive thin layers; The common end of the controlled switch is connected with the target conductive thin layer; the two signal switching ends of the controlled switch are respectively connected with the voltage output end and the image input end of the data processing device; The data processing device is further used to: If it is detected that the user does not leave the toilet, control the common end to be connected to the voltage output end, so that the voltage output end provides voltage for the target conductive thin layer; If it is detected that the user leaves the toilet, control the common end to be connected to the image input end, so that after the toilet cover is closed, the excrement image data photographed by the camera is transmitted to the data processing device through the signal transmission contact, the target conductive thin layer and the image input end.

2. The system of claim 1, wherein, The defecation sensing sensor comprises a camera, the camera is arranged on the toilet, and the camera is connected with the data processing device; The data processing device is further used to: If it is detected that the user leaves the toilet, control the camera to photograph excrement images in the toilet; based on the excrement images, perform defecation health detection to obtain first defecation condition information of the user.

3. The system of claim 2, wherein, The toilet comprises a toilet cover, a controlled motor is arranged on the toilet cover, the controlled motor is connected with the data processing device, and the camera is arranged on the toilet cover; The data processing device is further used to: If it is detected that the user leaves the toilet, send a closing instruction to the controlled motor, so that the controlled motor drives the toilet cover to close; In response to detecting that the toilet cover is closed, control the camera to photograph excrement images in the toilet.

4. The system of claim 3, wherein, The data processing device comprises a register and a comparator, the register is used to: store second weight sensing data collected at a previous time, and input the second weight sensing data into the comparator; the comparator is configured to: receive the input second weight sensing data, first weight sensing data collected at a current time, and preset reference weight data, and compare the first weight sensing data, the second weight sensing data, and the reference weight data in size; if the first weight sensing data is less than the second weight sensing data, and the first weight sensing data is less than the reference weight data, send an indication signal indicating that the user leaves the toilet to the data processing device.

5. The system of claim 4, wherein, the comparator includes a first comparator, a second comparator, and a logic operator; the outputs of the first comparator and the second comparator are connected to the logic operator; the first comparator is configured to receive the first weight sensing data and the second weight sensing data, and output a first comparison signal; the second comparator is configured to receive the first weight sensing data, and receive the input reference weight data, and output a second comparison signal; the logic operator is configured to perform logical operation on the first comparison signal and the second comparison signal to obtain the indication signal.

6. The system of claim 1, wherein, the human body sensing device is configured to: when detecting that the user is in contact with the human body sensing device, send a human body sensing signal to the data processing device; and when detecting that the user is no longer in contact with the human body sensing device, stop sending the human body sensing signal to the data processing device; the data processing device is further configured to: record a time length elapsed between a time when the human body sensing signal is detected and a time when the human body sensing signal disappears for the first time as a defecation time length; and generate second defecation condition information of the user based on the defecation time length.

7. The system of claim 1, wherein, the system further includes a refrigerator connected to the data processing device, and the refrigerator is configured to: identify a food type in the refrigerator to obtain food information; the data processing device is further configured to: obtain the food information from the refrigerator; determine a target food type matched with the defecation condition information based on the food information; and generate a recommended recipe corresponding to the user based on the target food type.

8. A defecation state recognizing apparatus characterized by comprising: the device includes: a first obtaining module configured to obtain weight sensing data collected in a defecation process of a user from a weight sensor; a judging module configured to judge whether the user leaves a toilet based on the weight sensing data; a second obtaining module configured to obtain defecation sensing data collected for the current defecation if the user leaves the toilet; an identifying module configured to identify a defecation condition of the user based on the defecation sensing data to obtain defecation condition information of the user; the device is further configured to: If it is detected that the user does not leave the toilet, the common terminal of the controlled switch is connected to the voltage output terminal of the data processing device, so that the voltage output terminal provides voltage for the target conductive sheet, wherein the common terminal of the controlled switch is connected with the target conductive sheet, the two signal switching terminals of the controlled switch are connected with the voltage output terminal and the image input terminal of the data processing device respectively, and the target conductive sheet is attached to the gasket of the toilet. The second acquisition module is further configured to: If it is detected that the user leaves the toilet, the common terminal is connected to the image input terminal of the data processing device, so that after the toilet cover included in the toilet is closed, the excrement image data photographed by a camera is transmitted to the data processing device through a signal transmission contact provided on the toilet cover, the target conductive sheet and the image input terminal, and the excrement image is taken as the toilet sensing data, wherein the camera is arranged on the toilet cover, the camera is connected with the signal transmission contact, and the signal transmission contact corresponds to the target conductive sheet.

Images