CN115198862A - Non-contact sampling device based on intelligent closestool and control method thereof - Google Patents

Abstract

The invention relates to a non-contact sampling device based on an intelligent closestool and a control method thereof. The control module of accessible human-computer interaction panel and handrail department operates, can accomplish functions such as discernment, sampling, sample, detection, solves infection and the pollution problem that probably produces in the high risk sample collection testing process. The system has simple structure and high intelligent degree, and is suitable for various non-contact sampling detection requirements in the field of medical treatment and health.

Description

Contactless sampling device and control method based on smart toilet

technical field

The patent of the present invention belongs to the field of non-contact intelligent detection, in particular to the non-contact intelligent detection of patient excrement in the medical field. Committed to the development of a non-contact and intelligent detection toilet device product that can complete the non-contact sampling and detection of urine and feces through facial and voiceprint recognition, and complete disinfection measures. And with the assistance of artificial intelligence and the Internet of Things, contactless intelligent sampling detection and information transmission can be realized, which can reduce the infection risk of medical staff in the process of sampling and detection and the risk of contamination of samples during the transmission process. The present invention is specifically a non-contact sampling device based on an intelligent toilet and a control method thereof.

Background technique

As one of the common tools used in life, the toilet has become diversified and intelligent with the development of technology and the needs of life. The inspection of human excrement such as urine and feces is of great value for clinical diagnosis, judgment of curative effect and prognosis. Therefore, smart toilets with excrement detection function are in urgent need of development. Most of the smart toilets for excrement detection on the market still need to manually test the samples, and the medical staff observe and record the patient's urine volume, appearance, stool volume, color and shape. However, because the color and smell of urine and feces themselves can cause discomfort to medical staff, and bacterial excrement of patients can also easily lead to infection of medical staff, we propose a non-contact intelligent sampling detection toilet.

In the research on intelligent sampling and detection toilets at home and abroad and the mature sampling and detection intelligent toilet products on the market, most of the sampling and detection devices are installed on the toilet lid, and its function is mainly to complete the preliminary detection of excrement. This design is more suitable for daily use at home. However, when applied to the medical and health field, it can provide fewer testing items, and a slightly more complicated test requires manual intervention. For example, the toilet cover with urine and stool collection and detection function described in Patent ZL201910683477.7 and Patent ZL201910683488.5 has no pre-detection of feces and urine, and cannot be detected by information such as the flow rate of urine, the shape and color of urine and feces, etc. Human health information is judged, and its urine test is only designed for sitting urination, not for standing urination. In addition, for the sampling and detection of smart toilets in the medical and health field, the disinfection and sterilization requirements are relatively high, and correspondingly, a hierarchical disinfection strategy needs to be adopted to prevent the spread of bacteria into the air.

SUMMARY OF THE INVENTION

In view of the deficiencies of the prior art, the present invention provides a non-contact sampling device based on an intelligent toilet and a control method thereof, the details are as follows:

A non-contact sampling device based on a smart toilet includes a smart toilet, and the smart toilet is a squatting pan, a toilet pan or/and a urinal. A control module M2, an identification module M3, a collection module M5, a power adapter module M7 and a human-computer interaction module M8 are arranged around the smart toilet. Wherein, the control module M2 is respectively connected with the identity recognition module M3, the acquisition module M5, and the human-computer interaction module M8. The power adapter module M7 is connected to an external power supply and is connected to the control module M2. The identity recognition module M3, the acquisition module M5, and the human-computer interaction module M8 are respectively powered from the control module M2. The human-computer interaction module M8 includes a speaker. The identity recognition module M3, including the microphone and the facial recognition camera 18, is responsible for acquiring the user's facial information, voiceprint information or/and voice commands, and transmitting them to the control module M2. The control module M2 has preset programs. The control module M2 obtains the user's identity information through the identity recognition module M3. The control module M2 obtains the user's instructions through the human-computer interaction module M8 or/and the identity recognition module M3, and performs sampling operations through the acquisition module M5.

Further, the collection module M5 includes a urine flow detection camera 5 and/or a stool shape detection camera 6 . The photos or/and videos of urine are obtained through the urine flow detection camera 5 . Photos or/and videos of feces are acquired through the feces shape detection camera 6 . Through the control module M2 connected with the identity recognition module M3, the user identity is associated with the urine, the photo or video of the urine, and stored in the database.

Further, the control module M2 is loaded with data processing software. The data processing software is commercial or shared software, and is used to perform frame processing or voiceprint processing on the images, videos, and voiceprints collected by the identity recognition module M3. Further, this processing method is implemented by an artificial intelligence algorithm to provide data for the detection results. In other words, the control module M2 processes image signals, voiceprint signals and generates data by means of data processing software.

Further, there is an IoT communication module M9, a cloud server 22 and a cloud printer 21. The control module M2 is connected with the cloud server 22 in a wired or wireless manner through the IoT communication module M9. The cloud server 22 is connected to the cloud printer 21 . The cloud server 22 is responsible for storing detection results and sharing detection data. The cloud printer 21 is responsible for printing detection reports. The printing instruction issued by the microphone in the identity recognition module M3 or/and the human-computer interaction module M8 is recognized by the control module M2, and then transmitted to the cloud server 22, and then printed by the cloud printer 21.

Further, the control module M2 is loaded with pre-detection module software. The pre-detection module software is commercial or shared software. The control module M2 reproduced with the pre-detection module software converts the photos or/and videos of urine captured by the urine flow detection camera 5 into basic data such as urine flow rate, color, and shape. The control module M2 reproduced with the software of the pre-detection module converts the photos or videos of the stool obtained by the stool shape detection camera 6 into basic data such as stool color and shape.

The aforementioned detection module is used to perform some biochemical tests on the sampled samples to the best of our ability to diagnose the health status of the human body.

The power adapter module M7 is used to supply power to each module of the system. Further, the power adapter module M7 converts the 220V commercial power into voltages of all levels required by the system, and provides power to each module according to the power requirements of each module, so as to ensure the effective operation of the entire system.

Further, a cleaning and disinfection module M4 is provided near the control module. The cleaning and disinfection module M4 includes an ultraviolet lamp 17 . The control end of the cleaning and disinfection module M4 is connected with the control module M2. When the manually set start-up condition is reached, the control module M2 sends a signal to drive the ultraviolet lamp 17 in the cleaning and disinfection module M4 to energize and perform the disinfection operation. At the same time, the control module M2 drives the loudspeaker in the human-computer interaction module M8 to issue a warning message that the entry is prohibited.

Further, the smart toilet contains a controller. There is an intelligent toilet function module communication interface M1. The controller of the smart toilet is connected with the control module M2 of the contactless sampling device through the communication interface M1 of the smart toilet function module, and communicates with each other. The instruction issued by the microphone in the identity recognition module M3 or/and the human-computer interaction module M8 is recognized and converted by the control module M2, and then transmitted to the controller of the smart toilet and executed.

Further, the acquisition module M5 also includes a set of electronically controlled mechanical sampling components. The electromechanical sampling assembly is responsible for obtaining samples of urine or/and feces. A detection module M6 is provided, and the detection module M6 is a commercial urine or/and feces detection instrument. The detection module M6 is connected with the control module M2. Under the instruction of the control module M2, the detection module M6 is responsible for automatically detecting the urine or/and feces samples obtained by the collection module M5, and feeding back the detection results to the control module M2 and backing them up to the database.

Further, the human-computer interaction module M8 includes an LCD touch screen 2 . Send commands to the control module M2 through the LCD touch screen 2 and obtain graphical feedback.

Furthermore, the cloud server 22 pre-stores the voiceprint features, facial features, ID number, name, gender, and patient medical file information of the user/patient/patient. After the control module M2 obtains and associates the information from the identity recognition module M3 and the collection module M5, respectively, the information is uploaded to the cloud server 22 and associated with the stored information. Constitute dynamically updated user/patient personal data.

Furthermore, after the control module M2 cross-identifies the gender of the user/patient through the cloud server 22 and the identity recognition module M3, it adjusts the viewing angles of the urine flow detection camera 5 and the stool shape detection camera 6 according to the gender characteristics. The position information fed back by the urine flow detection camera 5 and/or the stool shape detection camera 6 controls the sampling path of the electronically controlled mechanical sampling component in the acquisition module M5 to ensure that samples that meet the detection conditions of the detection module M6 are collected. For example: before collecting the user's urine, the pre-detection module software will select a different urine detection scheme according to the user's gender information obtained by identification: male (urinating standing up), spiral detection through the detection funnel, from A detection strip protrudes from the bottom end of the detection funnel, and women protrude the detection strip from the front end of the toilet device.

The control method of the non-contact sampling device based on the smart toilet, the steps are as follows:

Step S1: The contactless sampling device is powered on and enters a standby state waiting for identification. When a user enters the working range of the identification module M3, the control module M2 starts identification.

Step S2: Select the working mode or manual command of the control module M2 through the LCD touch screen 2 in the human-computer interaction module M8 or/and the speaker in the identity recognition module M3. The working modes are: general operation mode and acquisition mode.

When the general operation mode is selected, go to step S3.

When the acquisition mode is selected, go to step S4.

Step S3: When the general operation mode is selected, the command received by the LCD touch screen 2 or/and the speaker and recognized and converted by the control module M2 is sent to the control of the smart toilet through the communication interface M1 of the smart toilet function module. device and execute.

It is timed since entering the general operation mode state, if there is no instruction for 5 minutes, then go to step S5.

On the contrary, stand by and wait for the command.

Step S4: when the acquisition mode is selected, the instruction received by the LCD touch screen 2 or/and the speaker and recognized and converted by the control module M2 is sent to the acquisition module M5 for execution.

Since the time of entering the acquisition mode state, if there is no instruction for 5 consecutive minutes, then go to step S3.

On the contrary, stand by and wait for the command.

Step S5: When the user leaves the working range of the identity recognition module M3, it is determined to end the use, and the process returns to step S1.

Furthermore, the working mode of the control module M2 also includes a check mode. After selecting the inspection mode in step S2, go to step S6: step S6: when the inspection mode is selected, send the instruction received by the LCD touch screen 2 or/and the speaker and recognized and converted by the control module M2 to the acquisition module M5. The monitoring module M6 is executed, thereby realizing the detection of the sampled urine and/or feces. Likewise, the timer is counted since entering the detection mode state, and if there is no instruction for 5 consecutive minutes, step S3 is entered. On the contrary, stand by and wait for the command.

More specifically, the electronically controlled mechanical sampling assembly in the acquisition module M5 is mainly composed of an extendable sampling member 18 , two motor-driven samplers, a lifting platform, a sampling box 13 and a mechanical arm. After the system issues a collection instruction, the extendable sampling member 18 extends out to wait for the user to sample and confirm. After the urine and feces are collected, the sampling member 18 is retracted into the collection box, and the interior of the collection box starts to work.

beneficial technical effect

The invention provides a toilet device and a control system thereof for non-contact intelligent sampling and detection of excrement used in the medical and health field. people reuse.

In addition, it can also identify user information and upload the test results to the cloud server. The intelligent detection toilet device can identify patients through voiceprint and face, link to the cloud to obtain patient information and detection requirements, arrange detection strategies for detection requirements, and automatically return the detected data to the cloud.

The outstanding features of the present invention are as follows:

This non-contact sampling device can recognize the voiceprint and face, when no sampling detection request is received from the cloud, that is, the normal toilet mode, and the system can work in the normal mode. It has the functions of general intelligent toilet devices, namely seat heating, automatic flushing, water washing, warm air drying, deodorization and sterilization functions.

When the non-contact sampling device receives the sampling detection requirement, the acquisition mode is turned on. According to the testing requirements provided by the cloud, the excrement is first separated and collected through the built-in sampling chamber and sampler of the toilet device, and the collected samples can be completed by the built-in testing equipment of the toilet, and the collected samples are provided to the built-in testing equipment of the toilet for on-site testing. , For the detection items that cannot be completed by the built-in equipment, quantitatively collect the samples into the sampling box 13, and perform sterilization and disinfection operations on the outside of the sampling box 13, and wait for them to be taken out and then sent out to complete the detection. After the collection is completed, the toilet device will perform a sterilization and disinfection operation on the sampling member 18 involved.

In addition, the non-contact sampling device opens the detection mode when it receives the demand for sampling and detection and there are detection items that can complete the on-site detection through the built-in detection equipment of the toilet. At this time, the color, shape, excretion volume and other values of urine and feces can be pre-analyzed through the built-in camera in the toilet device. After sampling the feces by the sampling member 18 and transporting them into the toilet, the built-in detection system will perform more accurate detection on the composition. For the detection that cannot be completed by the built-in detection system, the equipment loads the sample into the sampling box 13 and after strict sterilization and disinfection on the outside, takes it out and sends it to other detection equipment for accurate detection as needed. The test results are linked to the cloud and can be briefly displayed on the interactive panel, or patient information can be entered on a mobile device for detailed query.

In the above three modes, the parts involving contaminants in each step can be sterilized with the corresponding level of sterilization strategy.

Description of drawings

Fig. 1 is a structural block diagram of a contactless sampling device based on a smart toilet.

FIG. 2 shows the SoC of the control module in FIG. 1 .

FIG. 3 is a schematic diagram of the acquisition module in FIG. 1 .

FIG. 4 is a flowchart of a control method of the contactless sampling device.

FIG. 5 is a flowchart of the general mode software in FIG. 4 .

FIG. 6 is the software flow chart of the acquisition mode in FIG. 4 .

FIG. 7 is a software flow chart of the detection mode in FIG. 4 .

FIG. 8 is a schematic side view of Embodiment 1. FIG.

FIG. 9 is a plan view of FIG. 8 .

Detailed ways

The principles and features of the present invention will be further described below with respect to specific embodiments.

Referring to FIG. 1 , a non-contact sampling device based on a smart toilet includes a smart toilet, and the smart toilet is a squatting pan, a toilet pan or/and a urinal. A control module M2, an identification module M3, a collection module M5, a power adapter module M7 and a human-computer interaction module M8 are arranged around the smart toilet. Wherein, the control module M2 is respectively connected with the identity recognition module M3, the acquisition module M5, and the human-computer interaction module M8. The power adapter module M7 is connected to an external power supply and is connected to the control module M2. The identity recognition module M3, the acquisition module M5, and the human-computer interaction module M8 are respectively powered from the control module M2. The human-computer interaction module M8 includes a speaker. The identity recognition module M3, including the microphone and the facial recognition camera 18, is responsible for acquiring the user's facial information, voiceprint information or/and voice commands, and transmitting them to the control module M2. The control module M2 has preset programs. The control module M2 obtains the user's identity information through the identity recognition module M3. The control module M2 obtains the user's instructions through the human-computer interaction module M8 or/and the identity recognition module M3, and performs sampling operations through the acquisition module M5. 8 and 9, the preferred solution is: considering the practicability and accuracy, the identity recognition module M3 consists of two parts, one is the user's face recognition, and the other is the user's voiceprint recognition. Taking these two parts into consideration, the user information can be more accurately identified and the accuracy of the reported personal information can be ensured. The identity recognition module M3 includes a face recognition module 11 and/or a voiceprint recognition module 12 . The facial recognition module 11 is responsible for identifying the user's facial features to lock the user's identity. The voiceprint recognition module 12 is responsible for identifying the user's audio characteristics to lock the user's identity. The facial recognition module 11 and/or the voiceprint recognition module 12 are used to more accurately identify user information and ensure the accuracy of reporting personal information. The facial recognition module 11 includes a facial recognition camera 18, a camera support, and a camera driving module. The voiceprint recognition module 12 includes a microphone, a microphone stand, and a microphone driving module.

The collection module M5 includes: an extendable sampling member 18 , two motor-driven samplers, a lifting platform 7 , a sampling box 19 and a robotic arm assembly. The extendable sampling member 18 extends out to wait for the user to sample and confirm after the control module M2 issues a collection instruction. After the collection of urine and feces is completed, the sampling member 18 is retracted into the collection box, and the interior of the collection box starts to work.

8 and 9, the lifting platform 7 is used for separation of urine and feces. The lifting platform 7 includes a pressure sensor. After sensing a certain amount of feces collected by the pressure sensor, it will surface in the detection mode. First, the lifting platform will separate urine and feces, and then two samplers with special functions will sample the urine and feces respectively, and move the samples into the sampling box 13 . Then the robotic arm will cover the sampling box 13, and after the cover is completed, the position of the sampling box 13 will be sent to the corresponding position to be fixed. Next, the system activates the sterilization and disinfection function, and rinses and disinfects the sampling parts 18, the sampler, and all angles of the robotic arms, respectively, to ensure their subsequent use. The waste water in the collection box is drained away through another drain outlet, and the waste water in the toilet device is drained away through the flush outlet in the main body of the toilet device. In this way, the corresponding collection of urine and feces is completed. The collected sampling box 13 can be taken out from the rear of the sampling box 19 and sent to the testing agency for testing. The sampling box 13 is completely sealed to ensure the safety of the testing personnel. detected in the detection module.

Further, when the collection step is completed, the built-in detection module can be selected for local detection. Due to the limitation of volume and function, the detectable content and indicators are limited to the biochemical detection instruments of urine and feces, and the current mainstream medical instruments can be used. Automatic testing equipment can also be used for automatic biochemical testing equipment involved in specific diseases.

Referring to FIG. 2 , the control module M2 includes a SoC chip, which is mainly composed of a CPU of an ARM architecture, a DSP co-processor, and an internal RAM. Corresponding interfaces are provided on the bus for peripheral devices such as serial communication, external ROM memory interface and LCD touch screen, supplemented by peripheral chip circuits such as other key circuits, power supply 1 switch circuit and crystal oscillator circuit. The ARM CPU and DSP co-processor are used to control and coordinate the operation of the entire system. The external ROM memory is used to store the usage information of the device, including the user's personal data and the user's health analysis result. The LCD touch screen is used to realize human-computer interaction, which is convenient for displaying and operating the system. The keys used, for the sake of speed and practicality of operation, the control of manual flushing is realized by keys. Power supply 1 is used to start and shut down the control module. The crystal oscillator circuit provides the oscillation frequency for the system after power-on, and can be used by the SoC after frequency multiplication by the PLL.

Further, the control module includes a SoC chip, which is used to control the data processing software to process complex image signals and generate data, the control module controls the identity recognition module to identify the user's face and voiceprint, and the control module is used to control the pre- The detection module software analyzes the user's urine flow and feces, the control module is used to control the cleaning and disinfection module M4 to clean and disinfect the objects of each program, and the control module controls the collection module to collect urine according to user input and feces are collected into the sampling box 13, the control module is used to control the back-end detection module to perform biochemical detection on the sampled samples, and the control module is used to control the power adapter module M7 to supply power to each module of the system.

The control module is used to control the operation of the entire system, and is connected with modules such as an identity recognition module, a pre-inspection module, a cleaning and disinfection module M4, a collection module, a back-end detection module, and a power adapter module M7.

Further, the collection module M5 includes a urine flow detection camera 5 and/or a stool shape detection camera 6 . The photos or/and videos of urine are obtained through the urine flow detection camera 5 . Photos or/and videos of feces are acquired through the feces shape detection camera 6 . Through the control module M2 connected with the identity recognition module M3, the user identity is associated with the urine, the photo or video of the urine, and stored in the database.

Further, the control module M2 is loaded with data processing software. The data processing software is commercial or shared software, and is used to perform frame processing or voiceprint processing on the images, videos, and voiceprints collected by the identity recognition module M3. Further, this processing method is implemented by an artificial intelligence algorithm to provide data for the detection results. In other words, the control module M2 processes image signals, voiceprint signals and generates data by means of data processing software. A preferred solution is: the data processing software includes an ARM CPU and a DSP co-processor in the control module, and is used for complex image signal processing. For example, the urine flow and urine volume calculation and the image analysis of the stool shape in the pre-check module, the calculated results are stored in the ROM, and the communication baseband connected to the serial communication interface is connected to the server, and the data is sent to the training based on the deep convolutional neural network. In the model of , the feature operation is performed, and the stool pre-test result is obtained after processing.

Further, there is an IoT communication module M9, a cloud server 22 and a cloud printer 21. The control module M2 is connected with the cloud server 22 in a wired or wireless manner through the IoT communication module M9. The cloud server 22 is connected to the cloud printer 21 . The cloud server 22 is responsible for storing detection results and sharing detection data. The cloud printer 21 is responsible for printing detection reports. The printing instruction issued by the microphone in the identity recognition module M3 or/and the human-computer interaction module M8 is recognized by the control module M2, and then transmitted to the cloud server 22, and then printed by the cloud printer 21. The preferred solution is: the IoT communication module, including the wireless baseband with wireless communication function, is a bridge between the control system and the cloud server, its function is controlled by the control module, and is mainly used to transmit the data of the local ROM to the cloud storage, which is convenient Mobile terminal viewing and printer network printing test report. The cloud server is used to receive the detection result information sent to it by the IoT communication module, process and store it on the cloud server, so as to facilitate the user's mobile terminal to view online and the cloud printer to print the detection report. The cloud printer can be used only after logging in with user information, and is used to print a user's test report online.

Further, the control module M2 is loaded with pre-detection module software. The pre-detection module software is commercial or shared software. The control module M2 reproduced with the pre-detection module software converts the photos or/and videos of urine captured by the urine flow detection camera 5 into basic data such as urine flow rate, color, and shape. The control module M2 reproduced with the software of the pre-detection module converts the photos or videos of the stool obtained by the stool shape detection camera 6 into basic data such as stool color and shape. A preferred solution is: the pre-inspection module includes two parts of detection. According to the user's gender information obtained by identification, different urine detection schemes are selected: males urinate standing up, spiral detection is carried out through the detection funnel, the detection strip is extended from the bottom of the detection funnel, and the detection strip is extended from the front of the toilet device for women bring. In addition, the pre-inspection module is equipped with 3 cameras, which are used to shoot the video of the urine flow in multiple frames and the pictures displayed after a period of time after the urine soaking detection strip. The data processing software will divide the video into frames for analysis, and then calculate flow of urine. Moreover, the data processing software will compare the color of the detection strip with the standard color after detection, and then analyze the health status of the human body from the urine flow and detection strip indicators. For the part of stool pre-inspection, complex image signals are processed by ARM CPU and DSP co-processor, the calculated results are stored in ROM, and the communication baseband connected to the serial communication interface is connected to the server, and the data is sent to the deep volume based In the model trained by the integrated neural network, the feature operation is performed, and the stool pre-test result is obtained after processing. It realizes the classification and identification of feces form (BS1-BS7), and then judges the health of the user's intestine and digestive system reflected by the feces of the human body.

Since stool morphology is directly related to transit time in the lower gastrointestinal tract, it can be used to obtain signs of various diseases affecting the gastrointestinal system, such as inflammatory bowel disease. Measurement of stool on BSF provides insight into physiology and disease, such as bacterial growth rates, bile acid metabolism, estrogen metabolism, irritable bowel syndrome, and tumors. Furthermore, since BSFS relies entirely on visual assessments and is described in everyday language, it is theoretically possible for an untrained person to classify their own stool. Therefore, this pre-examination module adopts the evidence-based stool analysis method BSFS based on morphology and mobility to study the health problems of patients. Also because deep convolutional neural networks (Deep CNNs) have great potential for general and highly variable classification tasks across multiple object categories, the present invention uses a single CNN to accurately classify human feces in a similar manner and strategy. , the CNN is trained using stool image files containing pixel values and labeled BS1~BS7 with the corresponding stool categories. In this way, the CNN was able to reliably identify stool types during defecation.

Further, a cleaning and disinfection module M4 is provided near the control module. The cleaning and disinfection module M4 includes an ultraviolet lamp 17 . The control end of the cleaning and disinfection module M4 is connected with the control module M2. When the manually set start-up condition is reached, the control module M2 sends a signal to drive the ultraviolet lamp 17 in the cleaning and disinfection module M4 to energize and perform the disinfection operation. At the same time, the control module M2 drives the loudspeaker in the human-computer interaction module M8 to issue a warning message that the entry is prohibited. The preferred solution is: the cleaning and disinfection module M4 is also provided with up to 4 shower heads, 2 flushing valves, 1 ultraviolet disinfection lamp and 1 micro air pump. The cleaned and sterilized devices are cleaned and sterilized so that the equipment can be reused many times. When the cleaning and disinfection steps are performed, the cover of the toilet device is automatically closed, and the micro air pump draws air out to form a negative pressure inside the toilet device to prevent bacteria from spreading into the air. The cleaning and disinfection module M4 can adopt different disinfection strategies according to the severity level of the detected object, and is used for cleaning and disinfection in the sampling process and inside the toilet device.

Another preferred solution is that: the cleaning and disinfection module M4 is responsible for cleaning and disinfecting objects in each program, including flushing the toilet device, and serving for repeatable collection, detection and use of the toilet device.

It should be noted that the cleaning and sterilizing module M4 in the present invention is very important, mainly cleaning and sterilizing the used devices through ultraviolet sterilization and using a disinfectant, so as to facilitate the repeated use of the equipment. When the cleaning and disinfection steps are performed, the cover of the toilet device is automatically closed, and the micro air pump draws air out to form a negative pressure inside the toilet device to prevent bacteria from spreading into the air. The module can adopt different disinfection strategies according to the severity level of the detected objects, and is used for cleaning and disinfection during the sampling process and inside the toilet device.

Further, the smart toilet contains a controller. There is an intelligent toilet function module communication interface M1. The controller of the smart toilet is connected with the control module M2 of the contactless sampling device through the communication interface M1 of the smart toilet function module, and communicates with each other. The instruction issued by the microphone in the identity recognition module M3 or/and the human-computer interaction module M8 is recognized and converted by the control module M2, and then transmitted to the controller of the smart toilet and executed.

Further, the acquisition module M5 also includes a set of electronically controlled mechanical sampling components. The electromechanical sampling assembly is responsible for obtaining samples of urine or/and feces. A detection module M6 is provided, and the detection module M6 is a commercial urine or/and feces detection instrument. The detection module M6 is connected with the control module M2. Under the instruction of the control module M2, the detection module M6 is responsible for automatically detecting the urine or/and feces samples obtained by the collection module M5, and feeding back the detection results to the control module M2 and backing them up to the database.

Further, the human-computer interaction module M8 includes an LCD touch screen 2 . Send commands to the control module M2 through the LCD touch screen 2 and obtain graphical feedback.

Furthermore, the cloud server 22 pre-stores the voiceprint features, facial features, ID number, name, gender, and patient medical file information of the user/patient/patient. After the control module M2 obtains and associates the information from the identity recognition module M3 and the collection module M5, respectively, the information is uploaded to the cloud server 22 and associated with the stored information. Constitute dynamically updated user/patient personal data.

Furthermore, after the control module M2 cross-identifies the gender of the user/patient through the cloud server 22 and the identity recognition module M3, it adjusts the viewing angles of the urine flow detection camera 5 and the stool shape detection camera 6 according to the gender characteristics. The position information fed back by the urine flow detection camera 5 and/or the stool shape detection camera 6 controls the sampling path of the electronically controlled mechanical sampling component in the acquisition module M5 to ensure that samples that meet the detection conditions of the detection module M6 are collected. For example: before collecting the user's urine, the pre-detection module software will select different urine detection schemes according to the user's gender information obtained by identification: male standing urinate, spiral detection through the detection funnel, from the detection funnel A detection strip protrudes from the bottom end, and women protrude the detection strip from the front end of the toilet device.

An additional technical solution is to provide a back-end detection module near the control module. The back-end detection module is responsible for performing some biochemical detections on the sampled samples within its capacity to diagnose the health status of the human body.

The general functions of the smart toilet, including: self-heating seat, buttock washing gun, toilet flush valve, can be controlled by the control module M2.

Further, the smart toilet is a toilet, that is, a toilet, and the toilet is used to collect the excrement of the user. The toilet is equipped with a camera in the software of the pre-detection module, and the camera includes: a multi-frame video of the urine flow and a color picture displayed for a period of time after the urine soaks the detection strip. For taking pictures of the shape and color of feces. When the smart toilet is a urinal, the urinal is only used to collect the urine of the user.

The control method of the non-contact sampling device based on the smart toilet, the steps are as follows:

Step S1: The contactless sampling device is powered on and enters a standby state waiting for identification. When a user enters the working range of the identification module M3, the control module M2 starts identification.

Step S2: Select the working mode or manual command of the control module M2 through the LCD touch screen 2 in the human-computer interaction module M8 or/and the speaker in the identity recognition module M3. The working modes are: general operation mode and acquisition mode.

When the general operation mode is selected, go to step S3.

When the acquisition mode is selected, go to step S4.

Step S3: When the general operation mode is selected, the command received by the LCD touch screen 2 or/and the speaker and recognized and converted by the control module M2 is sent to the control of the smart toilet through the communication interface M1 of the smart toilet function module. device and execute.

It is timed since entering the general operation mode state, if there is no instruction for 5 minutes, then go to step S5.

On the contrary, stand by and wait for the command.

Step S4: when the acquisition mode is selected, the instruction received by the LCD touch screen 2 or/and the speaker and recognized and converted by the control module M2 is sent to the acquisition module M5 for execution.

Since the time of entering the acquisition mode state, if there is no instruction for 5 consecutive minutes, then go to step S3.

On the contrary, stand by and wait for the command.

Step S5: When the user leaves the working range of the identity recognition module M3, it is determined to end the use, and the process returns to step S1.

Referring to Figure 4, when the system is turned on, it will automatically prompt whether the night light function is turned on according to the sunrise and sunset time. Then enter the mode selection interface, you can choose the system to work in general mode, acquisition mode or detection mode.

When the system is selected to work in the general mode (Fig. 5), the following processes can be selected individually or executed in the order recommended by the system. First, the system will prompt whether the seat heating function needs to be turned on. If this function is required, choose to execute, and the seat gasket on the main body of the toilet device will start to automatically heat and keep warm. After the former function item is selected, the system prompts whether to flush the toilet device. If you choose to execute it, the flush valve will open to flush the excrement from the drain. After the former function is executed, the system prompts whether the washing function is required. If you choose to execute it, the buttock washing gun will work. After the former function is executed, the system prompts whether the warm air drying function is required, and if execution is selected, the heater 16 will work. After the former function is executed, the system prompts whether the deodorization and sterilization function is required. If you choose to execute it, the cleaning and disinfection module M4 will work. After the whole process is completed, the system will return to the initial state of the normal mode and wait for the next function selection.

When the system is selected to work in the acquisition mode (Fig. 6), you can first choose whether to return the function of the sampling box 13. If you choose to execute it, the system will check and supplement the state of the internal sampling box 13, and then the system will return to the initialization of the detection mode. state.

First, the user's identity needs to be authenticated and recorded, and the user's voiceprint and face will be recognized mainly through the identity recognition module integrated in the system. After the basic information of the user is confirmed, the corresponding sampling and pre-inspection plan is determined according to the user's information, such as gender, age and other different conditions.

This will first call the pre-inspection module of the system. The pre-inspection module is equipped with 3 cameras, which are used to shoot the video of the urine flow in multiple frames and the color picture displayed after a period of time after the urine soaks the detection strip. The data processing software will check the video. It is divided into frames for analysis, and then the flow of urine is calculated. Moreover, the data processing software will compare the color of the detection strip with the standard color after detection, and then analyze the health status of the human body from the urine flow and detection strip indicators. And the data of the pre-inspection results are automatically uploaded to the cloud, which is convenient for recording and viewing.

Then comes the collection and separation of excreta. After selection and execution, the extendable sampling member 18 extends out to wait for the user to sample and confirm after the system issues a collection instruction. After the urine and feces are collected, the sampling member 18 is retracted into the collection box, and the interior of the collection box starts to work. First, the sampling member 18 separates urine and feces, and then two samplers with special functions respectively take samples of the urine and feces, and move the samples into the sampling box 13 . Then the robotic arm will cover the sampling box 13, and after the cover is completed, the position of the sampling box 13 will be sent to the corresponding position to be fixed. Next, the system activates the sterilization and disinfection function, and rinses and disinfects the sampling parts 18, the sampler, and all angles of the robotic arms, respectively, to ensure their subsequent use. The waste water in the collection box is drained away through another drain outlet, and the waste water in the toilet device is drained away through the flush outlet in the main body of the toilet device. Finally, the system will return to the initial state of the acquisition mode and wait for the next selection to be executed.

When local detection is required (Figure 7), the system needs to authenticate and record the user's identity, mainly through the identification module integrated on the system, to identify the user's voiceprint and face. Then the local detection function will be called. The system will first ask whether to take out for inspection or perform local inspection. If you choose to take it out for inspection, the sample box after sampling will be ejected for personnel to take away after automatic sterilization and disinfection. Select local detection, and the sampled sample box will be sent to the corresponding urine detection device and stool detection device for detection. The test results are uploaded to the cloud space through the system, and users can view the test report on the mobile terminal and print the test report on the cloud printer.

To sum up, a toilet device control system for non-contact sampling detection in the medical and health field proposed by the present invention has the characteristics of strong practicability, complete system, comprehensive functions, convenient use, and can be reused by many people. It is suitable for all kinds of disease inspections that can be detected from excrement, and can easily obtain test report information. It can be used in infectious disease ward scenarios to realize the process of non-contact sampling and detection automation of patient excrement, which greatly reduces the risk of disease transmission.

Furthermore, the working mode of the control module M2 also includes a check mode. After selecting the inspection mode in step S2, go to step S6: step S6: when the inspection mode is selected, send the instruction received by the LCD touch screen 2 or/and the speaker and recognized and converted by the control module M2 to the acquisition module M5. The monitoring module M6 is executed, thereby realizing the detection of the sampled urine and/or feces. Likewise, the timer is counted since entering the detection mode state, and if there is no instruction for 5 consecutive minutes, step S3 is entered. On the contrary, stand by and wait for the command.

More specifically, the electronically controlled mechanical sampling assembly in the acquisition module M5 is mainly composed of an extendable sampling member 18 , two motor-driven samplers, a lifting platform, a sampling box 13 and a mechanical arm. After the system issues a collection instruction, the extendable sampling member 18 extends out to wait for the user to sample and confirm. After the urine and feces are collected, the sampling member 18 is retracted into the collection box, and the interior of the collection box starts to work.

Example 1

The description in this section is only for the description of the typical implementation, and the present invention is not limited to the scope of the description of the embodiment. It is also within the scope of the description and protection of the present invention that the same or similar technical means and some technical features in the embodiments are replaced with each other.

The present invention discloses a toilet device control system for non-contact sampling detection in the medical and health field. Figures 8 and 9 are a schematic side view and a top view of an intelligent detection toilet device in an embodiment of the present invention. It consists of the main body of the toilet device, a control module, a collection module, and a detection module. The main control device is partially integrated into the left armrest, and there is a touchable LCD display on the surface as the main way of human-computer interaction. The top of the toilet box is a camera and a microphone for face and voiceprint recognition. When the acquisition mode and detection mode are implemented, the user information is confirmed through the camera and the microphone, the touch LCD interacts with the system, and the acquisition and detection steps are selected according to the requirements.

1, 8 and 9, its specific mechanical structure includes: power supply 1, LCD touch screen 2, seat cushion heating wire 3, urine detection test strip 4, urine flow detection camera 5, stool shape detection camera 6, urine stool Separation lifting platform 7, cleaning and disinfection module M4, urine detection module 9, stool detection module 10, liftable face recognition module 11, voiceprint recognition module 12, sampling box 13, flushing module 14, water washing module 15, heater 16 , UV lamp 17 , facial recognition camera 18 , sampling box 19 , negative pressure exhaust fan 20 , cloud server 21 , cloud printer 22 .

Among them, the pre-inspection module includes two parts of inspection. According to the user's gender information obtained by identification, different urine detection schemes are selected: male (urinating standing up), spiral detection is carried out through the detection funnel, the detection strip extends from the bottom of the detection funnel, and female protrudes from the front end of the toilet device Detection band. In addition, the pre-inspection module is equipped with 3 cameras, which are used to shoot the video of urine flow in multiple frames and the color picture displayed for a period of time after the urine soaking detection strip. The data processing software will divide the video into frames for analysis, and then calculate flow of urine. Moreover, the data processing software will compare the color of the detection strip with the standard color after detection, and then analyze the health status of the human body from the urine flow and the display indicators of the detection strip.

As shown in FIG. 3 , the collection module includes a sampling part drive, a sampling part drive, a sampling box drive and a motion cavity drive, which are used for the corresponding quantitative collection of urine and feces and are collected into the sampling box for easy removal and inspection.

As shown in Figure 6, when the smart toilet is a toilet, the sampling steps are as follows:

Step S4-1: Select the acquisition mode to work.

Step S4-2: The LCD touch screen 2 will pop up the identity authentication. After confirmation, the facial recognition module 11 and the voiceprint recognition module 12 are activated to recognize the face and voiceprint, and determine the user information.

Step S4-3: According to the gender of the user, the corresponding urine and feces are used for pre-inspection, the sample enters the detection funnel, and the pre-inspection result is obtained after sampling by the internal detection tether, and the result is processed and uploaded to the cloud server.

Step S4-4: When the pressure sensor on the urine and feces separation lifting platform 7 detects that a sufficient amount of samples has been collected, start the urine and feces separation lifting platform 7 to make it rise to a position higher than the liquid level, and detect as needed. The sample type drives the sampler to sample.

Step S4-5: The sampling element 18 will collect the excrement of the user, shrink back to the sampling box 19 for quantitative collection, and fix the sampling box 13 to the sampling box 13, waiting for subsequent operations (take out for inspection or local inspection).

Step S4-6: Cover the toilet device cover, start the exhaust fan 20, form a negative pressure environment in the toilet device, and activate the cleaning and disinfection module M4 on the toilet device cover to spray and disinfect the inner wall of the toilet device and the seat cushion.

Further, for the urine pre-test section, for retractable urine test strips, the automatic strip feeder places a stack of urinalysis strips at an angle so that each strip can slide down to the On custom retractable conveyor belts. The rubber conveyor belt is controlled by a servo motor that grabs the strip and rotates it clockwise and counter-clockwise to stretch the strip. If the subunit detects the flow of urine, the detection strip extends outward so that the user can urinate on the strip. After the urination event is complete, the conveyor belt retracts the strip for colorimetric recording. After the colorimetric recording is completed, the conveyor belt extends the test strip, and the paper discharge servo motor pushes it into the toilet device. For dual-camera-based high frame rate uroflowmetry, use two GoPro cameras positioned at right angles, facing away from the user, to capture and analyze the physical properties of urine flow. The image preprocessing steps for the participant's urination frame were as follows: 1. Raw capture of the urine stream falling into the wide-angle camera FOV. 2. The wide-angle FOV frame is not deformed. 3. Black and white conversion and smoothing. 4. Background subtracted frames to extract only urine flow. Then there is the synchronization setup of the left and right camera frames, using geometric calculations to do depth estimation from the two synchronized frames. For erroneous measurements of urine volume due to changes in flow velocity, flow velocity was estimated using two ROIs within the camera frame, and finally flow velocity correction was performed by dividing the sum of depth-corrected pixel values by the frame shift.

As shown in Figure 7, when the smart toilet is a toilet, the inspection steps are as follows:

Step S6-1: Select the detection mode to start.

Step S6-2: The user selects the function of returning the sampling box 13, and automatically transfers the newly added sampling box 13 that meets the standard to the interior of the sampling box 19 for replenishment, or this step may not be performed.

Step S6-3: The LCD touch screen 2 pops up the identity authentication, and after confirmation, the face and voiceprint are recognized, the user information is determined, and then the detection work is performed.

Step S6-4: The LCD touch screen 2 prompts whether to take out and send it for inspection. If confirmed, it will pop up and be taken away by the relevant personnel and sent to the inspection agency for inspection. Otherwise, the local inspection will be performed, and the sampling box 13 will be transferred to the corresponding urine or feces inspection instrument automation. detection.

Step S6-5: The detection result is uploaded to the cloud server and printed by the connected cloud printer.

As shown in Figure 4, after the system is started, the ambient brightness is first detected, and whether to turn on the night light is selected according to the ambient brightness. At the same time, face recognition is performed, and according to the detection requirements obtained from the cloud transmission, the mode selection is automatically or manually entered, and three modes are provided: general mode, acquisition mode and detection mode.

Among them, the general mode software control process is shown in Figure 5, the general mode system is started, and function selection is performed: 1. Seat heating function selection, select execution, and seat heating function is activated. If you choose not to execute, the seat ring heating function will not be activated. 2. Select the toilet flush function, choose to execute, the toilet flush function is executed, and the toilet is flushed. Select not to perform direct washing function selection. 3. Select the washing function, choose to execute, execute the washing function, and select the warm air drying mode after washing. Choose not to execute, and directly enter the warm air drying mode selection. 4. Select and execute the warm air drying function, execute the warm air drying function, and select the deodorization and sterilization mode after the warm air drying is completed. Choose not to execute, and directly enter the deodorization and sterilization mode selection. 5. Select the deodorization and sterilization function, choose to execute, the deodorization and sterilization function is executed, and the general mode ends after the deodorization and sterilization is completed. Choose not to execute and end directly.

Further, when the system selects to work in the general mode, the following processes can be selected to be executed individually, or they can be executed according to the order recommended by the system. First, the system will prompt whether the seat heating function needs to be turned on. If this function is required, choose to execute, and the seat gasket on the main body of the toilet device will start to automatically heat and keep warm. After the former function item is selected, the system prompts whether to flush the toilet device. If you choose to execute it, the flush valve will open to flush the excrement from the drain. After the former function is executed, the system prompts whether the washing function is required. If you choose to execute it, the buttock washing gun will work. After the former function is executed, the system prompts whether the warm air drying function is required, and if execution is selected, the heater 16 will work. After the former function is executed, the system prompts whether the deodorization and sterilization function is required. If you choose to execute it, the cleaning and disinfection module M4 will work. After the whole process is completed, the system will return to the initial state of the normal mode and wait for the next function selection.

Wherein, the software control process of the acquisition mode is shown in FIG. 6 , and the identity recognition function is activated. Select the voiceprint and face recognition functions, choose not to execute, and directly enter the acquisition mode. Select Execute for voiceprint and facial recognition. After the identity is confirmed, choose whether to perform urine volume detection and quality calculation, select Execute, perform urine volume detection and quality calculation and upload the test results. Select not to perform no urine and mass calculations. Then, choose whether to execute the feces and detection functions, choose to execute, execute the feces and detection functions, and upload the detection results. Choose not to execute, do not execute the feces and detection functions, and start the collection mode at the same time, choose whether to execute the excrement collection and separation function, choose to execute, separate and collect the excrement, and quantitatively collect, corresponding to the sample, directly after the sample is sent. Perform disinfection lock, the collection mode function ends after the disinfection is completed, choose not to execute, perform disinfection lock, and the collection mode function ends after completion.

The control flow chart of the detection mode is shown in FIG. 7 . When the system is selected to work in the detection mode, you can first choose whether to return the function of the sampling box 13, and if you choose to execute it, the system will check and supplement the state of the internal sampling box 13, and then the system will return to the initialization state of the detection mode.

First, the user's identity needs to be authenticated and recorded, and the user's voiceprint and face will be recognized mainly through the identity recognition module integrated in the system. After the basic information of the user is confirmed, the corresponding sampling and pre-inspection plan is determined according to the user's information, such as gender, age and other different conditions.

This will first call the pre-inspection module of the system. The pre-inspection module is equipped with 3 cameras, which are used to shoot the video of the urine flow in multiple frames and the color picture displayed after a period of time after the urine soaks the detection strip. The data processing software will check the video. It is divided into frames for analysis, and then the flow of urine is calculated. Moreover, the data processing software will compare the color of the detection strip with the standard color after detection, and then analyze the health status of the human body from the urine flow and detection strip indicators. And the data of the pre-inspection results are automatically uploaded to the cloud, which is convenient for recording and viewing.

The detection mode is shown in Figure 7, the identity recognition function is activated, choose whether to execute the voiceprint and face recognition function, choose not to execute, directly enter the detection mode, choose to execute, perform voiceprint and face recognition, after the identity is confirmed, enter the detection mode, select Whether to execute the function of returning the sampling box 13, select Execute, return the sampling box 13 and sterilize and lock it, choose not to execute, do not return the sampling box 13 and lock the sterilization, the detection function is carried out, choose whether to execute the inspection function, select Execute, execute local detection function, and select the test type, 1. urine test 2. feces test, upload the test results, print the results, choose not to execute, not to execute the inspection function, the detection mode function ends.

Adopt the control method of the system of the present invention, carry out according to the following steps:

The control flow is as shown in Figure 4:

Step S1: Turn on the power 1 to start the system.

Step S2: automatically selecting whether to turn on the night light according to the ambient brightness.

Step S3: according to the display on the LCD touch screen 2, select a working mode.

Step S4: Turn on the power supply 1 to start the system, and select the general mode to work according to the display on the LCD touch screen 2 as shown in FIG. 5 .

Step S4-1: The LCD touch screen 2 prompts whether to activate the seat ring heating function, and choose whether to execute it (this step has 15 seconds to choose not to execute). If executed, the seat cushion heating wire 3 is activated. Then, the LCD touch screen 2 prompts whether to start the toilet device flushing, select whether to execute, and if so, activate the flushing module 14 . Next, it prompts whether to use the buttocks washing function, and selects whether to execute it. If executed, the washing module 15 is activated. Then it prompts whether to use the warm air drying function, choose whether to execute it, and if so, start the heater 16 . Then it prompts whether to execute the deodorization and sterilization function, and selects whether to execute it. If executed, the ultraviolet lamp 17 is activated. Each function in this mode can also be executed individually by means of active selection.

Step S4-2: Select the acquisition mode to work (FIG. 6).

Step S4-2-2: The LCD touch screen 2 will pop up the identity authentication. After confirmation, the facial recognition module 11 and the voiceprint recognition module 12 are activated to recognize the face and voiceprint, and determine the user information.

Step S4-2-2: According to the gender of the user, the corresponding urine and feces are used for pre-inspection, the sample enters the detection funnel, and the pre-inspection results are obtained after sampling by the internal detection tether, and the results are processed and uploaded to the cloud server .

Step S4-2-3: When the pressure sensor on the urine and feces separation lifting platform 7 detects that a sufficient amount of samples has been collected, start the urine and feces separation lifting platform 7 to make it rise to a position higher than the liquid level, according to The type of sample to be detected drives the sampling box 13 for sampling.

Step S4-2-4: The sampling box 13 collects the user's excrement, shrinks back to the sampling box 19 for quantitative collection, and fixes the sampling box 13 until the sampling box 13 is fixed, and waits for subsequent operations to take out for inspection or local detection.

Step S4-2-5: Cover the toilet device cover, start the exhaust fan 20, form a negative pressure environment in the toilet device, and activate the cleaning and disinfection module M4 on the toilet device cover to spray and disinfect the inner wall of the toilet device and the seat cushion.

Step S4-3: Select the detection mode to start FIG. 7 .

Step S4-3-1: The LCD touch screen 2 pops up the identity authentication. After confirmation, the face and voiceprint are recognized, the user information is determined, and then the detection work is performed, or the detection work can be directly performed without identity confirmation. .

Step S4-3-2: The user selects the function of returning the sampling parts (18, 13), and automatically transfers the newly added sampling box 13 that meets the standard to the interior of the sampling box 19 for replenishment, and sterilizes and locks the sampling box 13, or not. Perform this step.

Step S4-3-3: LCD touch screen 2 prompts whether to take out for inspection, if confirmed, it pops up and is taken away by relevant personnel and sent to inspection agency for inspection, otherwise local inspection is performed, and sampling box 13 is sent to the corresponding urine or feces inspection Instrument automatic detection.

Step S5: The detection result is uploaded to the cloud server and printed by the connected cloud printer.

Claims (10)

1. The non-contact sampling device based on the intelligent closestool comprises the intelligent closestool, wherein the intelligent closestool is a squatting pan, a toilet bowl or/and a urinal; the method is characterized in that: a control module M2, an identity recognition module M3, an acquisition module M5, a power supply adaptation module M7 and a man-machine interaction module M8 are arranged around the intelligent closestool; wherein,

the control module M2 is respectively connected with the identity recognition module M3, the acquisition module M5 and the human-computer interaction module M8;

the power supply adaptation module M7 is externally connected with a power supply and is connected with the control module M2; the identity recognition module M3, the acquisition module M5 and the human-computer interaction module M8 respectively take electricity from the control module M2;

the man-machine interaction module M8 comprises a loudspeaker;

the identity recognition module M3 comprises a microphone and a face recognition camera (18), is responsible for acquiring face information, voiceprint information or/and voice instructions of a user and transmits the face information, the voiceprint information or/and the voice instructions to the control module M2;

a control module M2, which stores a preset program;

the control module M2 acquires the identity information of the user through the identity recognition module M3;

the control module M2 obtains the instruction of the user through the man-machine interaction module M8 or/and the identity recognition module M3, and carries out sampling operation through the acquisition module M5.

2. The intelligent toilet-based contactless sampling device of claim 1, wherein: the acquisition module M5 comprises a urine flow detection camera (5) and/or a feces shape detection camera (6);

a photo or/and a video of urine are/is obtained through a urine flow detection camera (5);

a picture or/and a video of the excrement is obtained through an excrement shape detection camera (6);

through the control module M2 connected with the identity recognition module M3, the identity of the user is associated with urine and pictures or videos of the urine and is stored in a database.

3. The intelligent toilet-based contactless sampling device according to claim 1, wherein the control module M2 is loaded with data processing software; the data processing software is commercial or shared software and is used for carrying out frame processing or voiceprint processing on the images, videos and voiceprints acquired by the identity recognition module M3; furthermore, the processing mode is realized by an artificial intelligent algorithm and provides data for the detection result; in other words, the control module M2 processes the image signal, the voiceprint signal and generates data by means of data processing software.

4. The intelligent closestool-based contactless sampling device according to claim 1, wherein an internet of things communication module M9, a cloud server (22) and a cloud printer (21) are provided;

the control module M2 is connected with the cloud server (22) in a wired or wireless mode through the Internet of things communication module M9; the cloud server (22) is connected with the cloud printer (21);

the cloud server (22) is responsible for storing detection results and sharing detection data; the cloud printer (21) is responsible for printing a detection report;

the printing instruction issued by the microphone in the identity identification module M3 or/and the man-machine interaction module M8 is identified by the control module M2, transmitted to the cloud server (22) and printed by the cloud printer (21).

5. The intelligent toilet-based contactless sampling device of claim 1, wherein the control module M2 is loaded with pre-detection module software; the pre-detection module software is commercial or shared software; the control module M2 reloaded with the software of the pre-detection module converts the pictures or/and videos of the urine shot by the urine flow detection camera (5) into basic data of urine flow rate, color, shape and the like; the control module M2 reloaded with the software of the pre-detection module obtains the picture or video of the excrement by the excrement shape detection camera (6) and converts the picture or video into basic data of the color, the shape and the like of the excrement.

6. The intelligent toilet-based contactless sampling device according to claim 1, wherein a cleaning and disinfecting module M4 is provided near the control module; the cleaning and disinfecting module M4 comprises an ultraviolet lamp (17); the control end of the cleaning and disinfecting module M4 is connected with the control module M2; when the manually set starting condition is met, the control module M2 sends a signal to drive an ultraviolet lamp (17) in the cleaning and disinfecting module M4 to be electrified and carry out disinfection operation;

meanwhile, the control module M2 drives a speaker in the human-computer interaction module M8 to send out the warning information that the entry is forbidden.

7. The intelligent-toilet-based contactless sampling device of claim 1, wherein the intelligent toilet contains a controller; the intelligent closestool is provided with an intelligent closestool functional module communication interface M1; the controller of the intelligent closestool is connected with the control module M2 of the non-contact sampling device through the communication interface M1 of the functional module of the intelligent closestool and is communicated with the control module M2; the instructions issued by the microphone in the identity identification module M3 or/and the man-machine interaction module M8 are identified and converted by the control module M2, and then are transmitted to the controller of the intelligent closestool and executed.

8. The intelligent toilet-based contactless sampling device according to claim 1, wherein the collection module M5 further comprises a set of electrically controlled mechanical sampling components; the electrically controlled mechanical sampling assembly is responsible for obtaining a sample of urine or/and feces;

the device is provided with a detection module M6, wherein the detection module M6 is a commercial urine or/and excrement detection instrument; the detection module M6 is connected with the control module M2; under the instruction of the control module M2, the detection module M6 is responsible for automatically detecting the urine or/and stool sample obtained by the acquisition module M5, feeding back the detection result to the control module M2, and backing up the detection result to the database.

9. The intelligent toilet-based contactless sampling device according to claim 1, characterized by that the human-computer interaction module M8 comprises an LCD touch screen (2); and sending an instruction to the control module M2 through the LCD touch screen (2) and acquiring graphical feedback.

10. The control method of the intelligent closestool-based contactless sampling device according to any one of claims 1 to 9, is characterized by comprising the following steps:

step S1: electrifying the non-contact sampling device, and entering a standby state waiting for identity recognition; when a user enters the working range of the identity recognition module M3, the control module M2 starts identity recognition;

step S2: selecting a working mode or a manual instruction of the control module M2 through an LCD touch screen (2) in the man-machine interaction module M8 or/and a loudspeaker in the identity recognition module M3; the working modes are as follows: a general operation mode and an acquisition mode;

when the general operation mode is selected, the step S3 is entered;

when the acquisition mode is selected, the step S4 is carried out;

and step S3: when the general operation mode is selected, the command which is received by the LCD touch screen (2) or/and the loudspeaker and recognized and converted by the control module M2 is sent to a controller of the intelligent closestool and executed through the communication interface M1 of the functional module of the intelligent closestool;

counting time from entering the state of the general operation mode, and if no instruction exists for 5 minutes continuously, entering the step S5;

otherwise, waiting for an instruction;

and step S4: when the acquisition mode is selected, the instruction which is received by the LCD touch screen (2) or/and the loudspeaker and is identified and converted by the control module M2 is sent to the acquisition module M5 for execution;

counting time from the state of entering the acquisition mode, and if no instruction exists for 5 minutes continuously, entering the step S3;

otherwise, waiting for an instruction;

step S5: and when the user leaves the working range of the identity module M3, judging to finish the use, and returning to the step S1.

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