CN115198862A

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

Info

Publication number: CN115198862A
Application number: CN202210399878.1A
Authority: CN
Inventors: 张鉴; 戚昊琛; 杨俊�; 阮千虓; 黎豪; 何誉阳; 路恒
Original assignee: Hefei University of Technology; Wenzhou University
Current assignee: Hefei University of Technology; Wenzhou University
Priority date: 2021-04-20
Filing date: 2022-04-15
Publication date: 2022-10-18
Also published as: CN113250296A

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

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

Technical Field

The invention belongs to the field of non-contact intelligent detection, and particularly relates to non-contact intelligent detection of excrement of a patient in the medical field. The toilet device can be used for non-contact sampling detection of urine and excrement and complete non-contact intelligent detection of disinfection measures through face and voiceprint recognition. And with artificial intelligence and thing networking as supplementary, realize contactless intelligent sampling detection and information transmission, reducible medical personnel are at the infection risk of sampling and testing process and the pollution risk of sample in the transmission course. The invention particularly relates to a non-contact sampling device based on an intelligent closestool and a control method thereof.

Background

As one of common use tools in life, the closestool is diversified and intelligentized along with the development of science and technology and the requirements of life. The examination of human excreta such as urine and stool has very important values for clinical diagnosis, judgment of therapeutic effects and prognosis, and thus the development of intelligent toilets having an excreta detection function is urgently needed. Most of intelligent toilets for excrement detection on the market still need manual detection on samples, and the urine volume, the appearance, the excrement volume, the color and the shape of a patient are observed and recorded by medical workers. However, the color, smell and the like of urine and excrement can cause discomfort of medical care personnel, and the bacteria-carrying excrement of a patient can easily cause infection of the medical care personnel, so that the non-contact intelligent sampling detection closestool is provided.

In the research of intelligent sampling detection closestool at home and abroad and the mature sampling detection intelligent closestool product in the market, the sampling detection device is mostly arranged on the closestool cover, and the function of the sampling detection device is mainly to complete the primary detection of excrement. The design is more suitable for daily use of families. But when applied to the field of medical health, the detection item provided by the device is less, and the detection with a little complexity needs manual intervention. The toilet lid with urine and excrement collection and detection functions, as disclosed in patent ZL201910683477.7 and patent ZL201910683488.5, has no pre-detection of excrement and urine, and cannot judge the health information of a human body through information such as the flow rate of urine, the shape and color of urine and excrement, and the urine detection is designed only for sitting type urination and not designed for standing type urination. In addition, for the intelligent closestool for sampling detection in the field of medical health, the requirement for disinfection and sterilization is high, and a grading disinfection strategy is correspondingly adopted to prevent bacteria from diffusing into the air.

Disclosure of Invention

Aiming at the defects of the prior art, the invention provides a non-contact sampling device based on an intelligent closestool and a control method thereof, which specifically comprise the following steps:

non-contact sampling device based on intelligent closestool, including an intelligent closestool, intelligent closestool is squatting pan, toilet bowl or/and urinal. 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. 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 human-computer interaction module M8 comprises a loudspeaker. The identity recognition module M3, which includes a microphone and a face recognition camera 18, is responsible for acquiring the face information, voiceprint information or/and voice command of the user, and transmitting the face information, voiceprint information or/and voice command to the control module M2. The control module M2 stores a preset program. The control module M2 obtains 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.

Further, the acquisition module M5 comprises a urine flow detection camera 5 and/or a stool shape detection camera 6. The urine flow detection camera 5 obtains a picture or/and a video of urine. The picture or/and video of the stool is acquired by the stool shape detecting camera 6. Through the control module M2 connected with the identity recognition module M3, the identity of the user is associated with urine and a picture or a video of the urine and is stored in a database.

Further, 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.

Further, 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 manner through the internet of things communication module M9. The cloud server 22 and the cloud printer 21 are connected. The cloud server 22 is responsible for storing the detection results and sharing the detection data. The cloud printer 21 is responsible for printing the detection report. The printing instruction issued by the microphone in the identity 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.

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, which is reloaded with the software of the pre-detection module, converts the pictures or/and videos of the urine taken by the urine flow detection camera 5 into the basic data of the urine flow rate, color, shape, etc. 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.

The detection module is used for carrying out biochemical detection which can be reached by some force on the sampling sample by the way, and diagnosing the health condition of the human body.

And the power supply adaptation module M7 is used for supplying power to each module of the system. Further, the power supply adapting module M7 converts 220V commercial power into voltages of various levels required by the system, and supplies power to each module according to the power supply requirement of each module, thereby ensuring effective operation of the whole system.

Further, a cleaning and disinfecting module M4 is provided in the vicinity of 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 reached, the control module M2 sends a signal to drive the 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.

Further, the intelligent closestool internally comprises a controller. And a communication interface M1 of the intelligent closestool functional module is arranged. 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 communicates. 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.

Furthermore, the acquisition module M5 further comprises a set of sampling components of an electric control machine. The sampling component of the electric control machine 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 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.

Further, the human-computer interaction module M8 includes an LCD touch screen 2. And sending an instruction to the control module M2 through the LCD touch screen 2 and acquiring graphical feedback.

Further, the cloud server 22 stores user/patient voiceprint characteristics, facial characteristics, identification number, name, sex, and patient medical file information in advance. After the control module M2 obtains information from the identity recognition module M3 and the acquisition module M5 and associates the information, the information is uploaded to the cloud server 22 and associated with the stored information. Constituting dynamically updated user/patient personal data.

Further, after the control module M2 cross-identifies the sex of the user/patient through the cloud server 22 and the identity module M3, the view angle of the urine flow detection camera 5 and the view angle of the stool shape detection camera 6 are adjusted according to the sex characteristics. The urine flow detection camera 5 and/or the position information fed back by the excrement shape detection camera 6 control the sampling path of the electric control mechanical sampling assembly in the acquisition module M5, and samples meeting the detection conditions of the detection module M6 are ensured to be acquired. For example: before collecting the urine of a user, the software of the pre-detection module can select different urine detection schemes according to the user sex information obtained by identity recognition: the male (standing urinate), carry out the spiral and detect through the detection funnel, stretch out the detection strip from the detection funnel bottom, the women stretches out the detection strip from the front end of closestool device.

The control method of the non-contact sampling device based on the intelligent closestool comprises the following steps:

step S1: and 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: and 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 comprise: a general operation mode and an acquisition mode.

When the normal operation mode is selected, the process proceeds to step S3.

When the acquisition mode is selected, the process proceeds to step S4.

And step S3: when selecting to general operating mode, through intelligent closestool functional module communication interface M1, with the instruction that LCD touch screen 2 or/and loudspeaker accepted and was discerned and converted by control module M2, send the controller of intelligent closestool and carry out.

If no instruction is given for 5 minutes continuously since the normal operation mode state is entered, the process proceeds to step S5.

Otherwise, waiting for the instruction.

And step S4: when the collection mode is selected, the command 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 collection module M5 to be executed.

If no instruction is given for 5 minutes continuously since the acquisition mode state is entered, the process proceeds to step S3.

Otherwise, waiting for the 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.

Further, the operation mode of the control module M2 further includes a check mode. After the verification mode is selected in step S2, the process proceeds to step S6: step S6: when the selection is the detection mode, the instruction that LCD touch screen 2 or/and loudspeaker received and was discerned and converted by control module M2 is sent to collection module M5, monitoring module M6 and is carried out to the realization detects the urine and/or the excrement and urine of sampling. Similarly, if no instruction is given for 5 consecutive minutes since the state of the detection mode is entered, the flow proceeds to step S3. Otherwise, waiting for the instruction.

Furthermore, the sampling assembly of the electronic control machine in the acquisition module M5 is mainly composed of an extendable sampling member 18, two samplers driven by motors, a lifting platform, a sampling box 13 and a mechanical arm. The extensible sampling piece 18 extends out to wait for the sampling and confirmation of a user after the system sends a collecting instruction, and after urine and excrement are collected, the sampling piece 18 is retracted into the collecting box, and the inside of the collecting box starts to work.

Advantageous technical effects

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

In addition, the system can also identify the user information and upload the detection result to a cloud server on line, can be used in the medical and health fields such as infectious disease wards, and is suitable for various disease examinations capable of detecting excrement. This intellectual detection system closestool device can link the high in the clouds and acquire patient information and detection demand through voiceprint and facial discernment patient, arranges the detection strategy to the detection demand, detects the automatic high in the clouds that returns that obtains of data.

The outstanding characteristics of the invention are as follows:

this contactless sampling device accessible voiceprint and facial recognition, when not accepting the sampling detection demand from the high in the clouds, normally go to the lavatory mode promptly, the system can work in general mode. Possesses the function of general intelligent closestool device, seat ring heating, automatic flushing, washing, warm braw stoving, deodorization function of disinfecting promptly.

When the non-contact sampling device receives a sampling detection requirement, a sampling mode is started. According to the detection demand that the high in the clouds provided, at first separate and gather the excrement through built-in sampling chamber of closestool device and sampler, the detection item that the built-in check out test set of accessible closestool was accomplished gathers the gained sample and provides the built-in check out test set of closestool and be used for the witnessed inspections, can't pass through the detection item that built-in test set was accomplished, with sample ration collection in the sampling box 13 to the outside disinfection operation that disinfects of sampling box 13, send out the completion outside and detect after waiting to take out. After collection, the toilet device will perform a sterilization operation on the sample 18 in question.

In addition, when the non-contact sampling device receives a sampling detection requirement and has a detection item, the detection mode can be started when the detection item can complete field detection through the built-in detection equipment of the closestool. At this time, numerical values such as color, form, excretion and the like of urine and excrement can be pre-analyzed through a built-in camera in the toilet device, the urine is sampled, component analysis is carried out on the urine by using a urine test strip in the toilet, and after the excrement is sampled by the sampling piece 18 and conveyed into the toilet, the component is more accurately detected by a built-in detection system. For the detection which cannot be completed by the built-in detection system, the device loads the sample into the sampling box 13, strictly sterilizes the external part of the sampling box, and then takes out the sample as required to be sent to other detection devices for accurate detection. The detection result is linked with the cloud end, can be briefly displayed on the interactive panel, and can also be input into the patient information on the mobile equipment to carry out detailed query.

In the above three modes, the parts involved in the contamination at each step can be sterilized by using a corresponding level of sterilization strategy.

Drawings

Fig. 1 is a block diagram of a contactless sampling device based on an intelligent toilet.

Fig. 2 is a SoC of the control module of 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 of fig. 4.

Fig. 6 is a flow chart of the acquisition mode software of fig. 4.

Fig. 7 is a software flow diagram of the detection mode of fig. 4.

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

Fig. 9 is a top view of fig. 8.

Detailed Description

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

Referring to fig. 1, the non-contact sampling device based on the intelligent closestool comprises the intelligent closestool which is a squatting pan, a toilet bowl or/and a urinal. 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. The control module M2 is connected with the identity recognition module M3, the acquisition module M5 and the human-computer interaction module M8 respectively. The power supply adapting 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, which includes a microphone and a face recognition camera 18, is responsible for acquiring the face information, voiceprint information or/and voice command of the user, and transmitting the face information, voiceprint information or/and voice command to the control module M2. The control module M2 stores a preset program. The control module M2 obtains 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. Referring to fig. 8 and 9, the preferred solution is: in consideration of practicability and accuracy, the identification module M3 is composed of two parts, one is user face identification, and the other is user voiceprint identification. By combining the two parts, the user information can be identified more accurately, and the accuracy of reporting the personal information is ensured. The identity recognition module M3 comprises a face recognition module 11 and/or a voiceprint recognition module 12. The facial recognition module 11 is responsible for recognizing facial features of the user to lock the user's identity. The voiceprint recognition module 12 is responsible for recognizing the audio features of the user to lock the user identity. The face recognition module 11 and/or the voiceprint recognition module 12 are/is used to identify the user information more accurately, and the accuracy of reporting the personal information is ensured. The face recognition module 11 comprises a face recognition camera 18, a camera support and a camera driving module. The voiceprint recognition module 12 includes a microphone, a microphone holder, and a microphone driving module.

The acquisition module M5 includes: an extendable sampling member 18, two motor-driven samplers, a lifting platform 7, a sampling box 19 and a mechanical arm assembly. The extensible sampling piece 18 stretches out to wait for the sampling and confirmation of a user after the control module M2 sends a collecting instruction, and after urine and excrement are collected, the sampling piece 18 is retracted into the collecting box, and the inside of the collecting box starts to work.

Referring to fig. 8 and 9, the lifting platform 7 is used for separating urine and feces, and the lifting platform 7 includes a pressure sensor, which senses and collects a certain amount of feces and then floats out of the water surface in a detection mode. Firstly, the lifting platform can separate urine and feces, then two special-function samplers sample the urine and the feces respectively, and the samples are moved into the sampling box 13. The robotic arm may then cap the cartridge 13 and, after capping, may move the position of the cartridge 13 to a corresponding position for securing. Then the system starts the sterilization function to wash and sterilize the sampling part 18, the sampler and the mechanical arm at various angles respectively, so as to ensure the subsequent use. The waste water in the collecting box is discharged through the other water outlet, and the waste water in the closestool device is discharged through the flushing port in the closestool device main body. Corresponding collection of urine and excrement is finished, and the sampling box 13 after collection can be taken out from the rear part of the sampling box 19 and sent to a detection mechanism to detect that the sampling box 13 is completely sealed so as to ensure the safety of detection personnel, and detection in a local detection module can be selected.

Furthermore, after the collection step is completed, a built-in detection module can be selected for local detection, due to the limitation of volume and function, the detectable content and indexes are limited by the biochemical detection instrument for urine and excrement, the current medical mainstream fully-automatic inspection instrument can be used, and the fully-automatic biochemical detection instrument related to specific diseases can also be used.

Referring to fig. 2, the control module M2 includes an SoC chip, which mainly includes a CPU of an ARM architecture, a DSP coprocessor, and an internal RAM. Corresponding interfaces are arranged on the bus for serial communication, external ROM memory interfaces, LCD touch screens and other external devices, and are realized by the aid of other key circuits, a power supply 1 switch circuit, a crystal oscillator circuit and other peripheral chip circuits. And the ARM CPU and the DSP coprocessor are used for controlling and coordinating the operation of the whole system. The external ROM is used for storing the use information of the equipment, including personal data of the user and health analysis results of the user. The LCD touch screen is used for realizing man-machine interaction and facilitating display and operation of the system. The used key is realized by a key for controlling manual flushing for the sake of rapidness and practicality of operation. The power supply 1 is used for starting and shutting down the control module. And the crystal oscillator loop provides oscillation frequency for the system after being electrified, and can be used by the SoC after PLL frequency multiplication.

Furthermore, the control module comprises an SoC chip and is used for controlling data processing software to process complex image signals and generate data, the control module controls the identity recognition module to recognize the face and voiceprint of a user, the control module is used for controlling the pre-detection module software to analyze the urine flow and the excrement condition of the user, the control module is used for controlling the cleaning and disinfection module M4 to clean and disinfect objects of each program, the control module controls the acquisition module to acquire urine and excrement according to user input and stores the urine and excrement into the sampling box 13, the control module is used for controlling the rear-end detection module to carry out biochemical detection on a sampling sample, and the control module is used for controlling the power supply adaptation module M7 to supply power to each module of the system.

The control module is used for controlling the operation of the whole system and is connected with the identity recognition module, the pre-inspection module, the cleaning and disinfecting module M4, the acquisition module, the rear-end detection module, the power supply adaptation module M7 and other modules.

Further, 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. The preferred scheme is as follows: the data processing software comprises an ARM CPU and a DSP coprocessor in a control module and is used for processing complex image signals. For example, urine flow and urine volume calculation and excrement form image analysis in the pre-inspection module, the calculated results are stored in a ROM, the ROM is connected to a server through a communication baseband connected with a serial communication interface, data are sent into a model based on deep convolution neural network training, characteristic operation is carried out, and excrement pre-inspection results are obtained after processing.

Further, 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 manner through the internet of things communication module M9. The cloud server 22 and the cloud printer 21 are connected. The cloud server 22 is responsible for storing the detection results and sharing the detection data. The cloud printer 21 is responsible for printing the detection report. The printing instruction issued by the microphone in the identity 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. The preferred scheme is as follows: the Internet of things communication module comprises a wireless baseband, has a wireless communication function, is a bridge for communication between a control system and a cloud server, has the function controlled by a control module, is mainly used for transmitting data of a local ROM to a cloud storage, and is convenient for a mobile terminal to check and print a detection report by a printer in a networking manner. The cloud server is used for receiving detection result information sent to the cloud server by the Internet of things communication module, processing the detection result information and storing the detection result information in the cloud server, and is convenient for a user to check the mobile terminal through networking and print a detection report by the cloud printer. The cloud printer can be used only by logging in user information, and is used for printing a detection report of a user in a networked mode.

Further, the control module M2 is loaded with pre-detection module software. The pre-detection module software is business or shared software. The control module M2, which is reloaded with the software of the pre-detection module, converts the pictures or/and videos of the urine taken by the urine flow detection camera 5 into the basic data of the urine flow rate, color, shape, etc. 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. The preferred scheme is as follows: the pre-inspection module includes a two-part test. Selecting different urine detection schemes according to the gender information of the user obtained by identity recognition: the male urinates in standing, carries out the spiral and detects through detecting the funnel, stretches out the detection strip from detecting the funnel bottom, and the women stretches out the detection strip from the front end of closestool device. In addition, the pre-inspection module is provided with 3 cameras and used for shooting videos of urine flow in multiple frames and pictures displayed after the urine wetting detection strip is soaked in urine for a period of time, and the data processing software can analyze the videos divided into frames and further calculate the flow of the urine. Moreover, the data processing software can compare the color of the detected detection strip with the standard color, and further analyze the health condition of the human body from the urine flow and the detection strip index. Aiming at the excrement pre-inspection part, the ARM CPU and the DSP coprocessor are used for processing complex image signals, calculated results are stored in a ROM, the ROM is connected to a server through a communication baseband connected with a serial communication interface, data are sent into a model based on deep convolutional neural network training, characteristic operation is carried out, and excrement pre-inspection results are obtained after processing. Realizes the classification recognition (BS 1-BS 7) of the stool form, and further judges the health condition of the intestinal tract and the digestive system of the user reflected by the stool of the human body.

Since stool morphology is directly related to transit time of the lower digestive tract, it can be used to gain evidence of various diseases affecting the gastrointestinal system, such as inflammatory bowel disease. Physiological and disease states such as bacterial growth rate, bile acid metabolism, estrogen metabolism, irritable bowel syndrome and tumors are well understood when measured in BSF. Furthermore, since BSFS relies entirely on visual assessment and is described in everyday language, it is theoretically possible for untrained people to classify their own stools. The present pre-test module therefore uses a morphological and mobility based evidence-based stool analysis method BSFS to study patient health issues. And because Deep convolutional neural networks (Deep CNNs) have great potential for generic and highly variable classification tasks across multiple object classes, the present invention uses a single CNN to accurately classify human stools in a similar manner and strategy, the CNN is trained using stool image files containing pixel values, and labels BS 1-BS 7 with corresponding stool classes. In this way, the CNN can reliably identify the stool type during defecation.

Further, a cleaning and disinfecting module M4 is provided in the vicinity of 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 starting condition set manually is reached, the control module M2 sends a signal to drive the ultraviolet lamp 17 in the cleaning and disinfecting module M4 to be electrified and carry out disinfecting 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. The preferred scheme is as follows: cleaning and disinfecting module M4 still is equipped with and reaches 4 shower heads, 2 flushometers, 1 ultraviolet ray disinfection lamp and 1 miniature air pump and constitutes, mainly through ultraviolet ray disinfection and use antiseptic solution to make used device cleaning and disinfecting to make things convenient for equipment's many times to repeat usable. When the step of cleaning and disinfection is carried out, the cover of the closestool device is automatically closed, and the micro air pump exhausts air outwards to form negative pressure inside the closestool device, so that bacteria are prevented from being dispersed into air. The cleaning and disinfecting module M4 can adopt different disinfection strategies according to the severity level of the detected object, and is used for cleaning and disinfecting the interior of the closestool device in the sampling process.

Another preferred embodiment is: the cleaning and disinfecting module M4 is responsible for cleaning and disinfecting objects of all programs, comprises the flushing of the closestool device and serves the repeated collection, detection and use of the closestool device.

It should be noted that the cleaning and disinfecting module M4 of the present invention is crucial to clean and disinfect the used devices mainly by using ultraviolet light to disinfect and using disinfection solution, so as to facilitate the repeated use of the equipment. When the cleaning and disinfecting step is carried out, the cover of the closestool device is automatically closed, and the micro air pump exhausts air outwards to form negative pressure inside the closestool device, so that bacteria are prevented from being dispersed into the air. The module can adopt different disinfection strategies according to the severity grade of the detected object, and is used for cleaning and disinfecting the interior of the closestool device in the sampling process.

Further, the intelligent closestool internally comprises a controller. The intelligent closestool function module communication interface M1 is arranged. 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 communicates. 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.

Furthermore, the acquisition module M5 further includes a set of electrically controlled mechanical sampling assemblies. The sampling component of the electric control machine 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 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.

Further, after the control module M2 cross-identifies the sex of the user/patient through the cloud server 22 and the identity module M3, the view angle of the urine flow detection camera 5 and the view angle of the stool shape detection camera 6 are adjusted according to the sex characteristics. The position information that urine flow detects camera 5 and/or excrement and urine shape and detect the camera 6 feedback controls the sampling route of automatically controlled mechanical sampling subassembly in the collection module M5, ensures to gather the sample that accords with detection module M6 detection condition. For example: before collecting the urine of the user, the software of the pre-detection module can select different urine detection schemes according to the sex information of the user obtained by identity recognition: the male urinates in standing, carries out the spiral and detects through detecting the funnel, stretches out the detection strip from detecting the funnel bottom, and the women stretches out the detection strip from the front end of closestool device.

The additional technical scheme is that a rear end detection module is arranged near the control module. The rear-end detection module is responsible for carrying out biochemical detection that some strength can reach to the sample specimen and diagnosing the health condition of the human body.

General functions of the intelligent closestool include: the self-heating seat ring, the hip washing gun and the flushing valve of the closestool device can be controlled by the control module M2.

Further, the intelligent toilet bowl is a toilet bowl, namely a toilet bowl, and the toilet bowl is used for collecting excrement of users. Dispose in the toilet bowl the camera in the software of the pre-detection module, the camera includes: the device is used for multi-frame shooting of videos of urine flow and color pictures displayed for a period of time after the urine wetting detection strip. Used for taking the shape and color pictures of the feces. When the intelligent closestool is a urinal, the urinal is only used for collecting urine of users.

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

Step S2: and 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 normal operation mode is selected, the process proceeds to step S3.

When the acquisition mode is selected, the process proceeds to step S4.

Otherwise, waiting for the instruction.

Referring to fig. 4, when the system is powered on, the night light function is automatically prompted whether to turn on the function that is automatically turned on according to the sunrise, sunset time. Then entering a mode selection interface, and selecting the system to work in a general mode, an acquisition mode or a detection mode.

When the system is selected to operate in the general mode (fig. 5), the following processes can be selected to be executed independently, or can be executed according to the recommended sequence of the system. Firstly, the system can prompt whether the seat heating function needs to be started or not, if the function is needed, the seat heating function is selected to be executed, and the seat cushion on the closestool device main body can start automatic heating and heat preservation. After the function item of the predecessor is selected, the system prompts whether to flush the toilet device, and if the function item is selected to be executed, the flushing valve can be opened to flush excrement from the water outlet. After the former function is executed, the system prompts whether the washing function is needed or not, and the hip washing gun works if the execution is selected. After the former function is executed, the system prompts whether the warm air drying function is needed, and if the execution is selected, the warm air blower 16 will work. After the former function is executed, the system prompts whether the deodorization and sterilization function is needed or not, and if the deodorization and sterilization function is selected to be executed, the cleaning and sterilization module M4 works. After the whole process is executed, the system returns to the initial state of the general mode for standby and waits for the next function selection.

When the system is selected to operate in the collection mode (fig. 6), it is first selected whether the function of returning the cartridge 13 is required, and if so, the system will verify the status of the internal cartridge 13 and then return to the initialization state of the test mode.

Firstly, the identity of a user needs to be authenticated and recorded, and the voiceprint and the face of the user are identified mainly through an identity identification module integrated on a system. After the basic information of the user is confirmed, the corresponding sampling and pre-checking scheme is determined according to different conditions of the user information, such as gender, age, and the like.

The system comprises a data processing software, a pre-inspection module, a data processing software and a data processing module, wherein the pre-inspection module of the system is called firstly, the pre-inspection module is provided with 3 cameras and is used for shooting videos of urine flow in multiple frames and color pictures displayed for a period of time after the urine wetting detection strips, and the data processing software analyzes the videos which are divided into frames and further calculates the flow of the urine. Moreover, the data processing software can compare the color of the detected detection strip with the standard color, and further analyze the health condition of the human body from the urine flow and the detection strip index. And the data of the pre-inspection result is automatically uploaded to the cloud, so that the data are conveniently recorded and checked.

Followed by collection and separation of the excreta. After the sampling piece 18 which can be extended after the selection is executed sends a sampling instruction, the sampling piece extends to wait for the sampling and confirmation of a user, after the urine and the excrement are collected, the sampling piece 18 is retracted into the collection box, and the interior of the collection box starts to work. First, the sampling member 18 separates urine from feces, and then two special function samplers sample the urine and feces respectively, and move the sample into the sampling box 13. The robotic arm may then cap the cartridge 13 and, after capping, may move the position of the cartridge 13 to a corresponding position for securing. Then the system starts the sterilization function to wash and sterilize the sampling part 18, the sampler and the mechanical arm at various angles respectively, so as to ensure the subsequent use. The waste water in the collecting box is discharged through the other water outlet, and the waste water in the closestool device is discharged through the flushing port in the closestool device main body. And finally, the system returns to the initial state standby of the acquisition mode and waits for the next selection execution.

When local detection is needed (fig. 7), the system needs to authenticate and record the identity of the user, and mainly identifies the voiceprint and the face of the user through an identity identification module integrated on the system. Then the local detection function is invoked. The system first asks whether to take a submission or perform a local inspection. If the sample box is selected to be taken out for inspection, the sampled sample box can be popped out for personnel to take away after automatic sterilization and disinfection. And (4) selecting local detection, and conveying the sampled sample box to the corresponding urine detection device and the feces detection device for detection. The detection result is uploaded to the cloud space through the system, and a user can check the detection result at the mobile terminal and print a detection report on a cloud printer.

In summary, the toilet device control system for non-contact sampling detection in the medical health field provided by the invention has the characteristics of strong practicability, complete system, comprehensive functions, convenience in use, reusability for multiple people and the like, is suitable for various disease examinations capable of detecting excrement, can conveniently acquire detection report information, can be used in an infectious disease ward scene, realizes a non-contact sampling and detection automation process of the excrement of a patient, and greatly reduces the risk of disease transmission.

Example 1

The description in this section is merely illustrative of exemplary implementations and the present invention is not limited in scope by the examples described. The same or similar technical means and some technical features of the embodiments are mutually replaced and are also within the scope of the description and the protection of the invention.

The invention discloses a toilet device control system for non-contact sampling detection in the field of medical health, and fig. 8 and 9 are a side schematic view and a top view of an intelligent detection toilet device in an embodiment of the invention. The closestool comprises a closestool device body, a control module, an acquisition module and a detection module, wherein a main control device part is integrated inside a left handrail, and a touch LCD display screen is arranged on the surface of the main control device part and is used as a main mode of man-machine interaction. The top of the toilet device box is provided with a camera and a microphone which are used for recognizing human faces and voiceprints. When the collection mode and the detection mode are carried out, the user information is confirmed through the camera and the microphone, the touch LCD is interacted with the system, and the collection and detection steps are selected and executed according to requirements.

With reference to fig. 1, 8 and 9, the specific mechanical structure thereof includes: power 1, LCD touch-sensitive screen 2, seatpad heater strip 3, urine test paper 4, urine flow detects camera 5, excrement and urine shape detects camera 6, urine excrement and urine separation elevating platform 7, cleaning and disinfecting module M4, urine detection module 9, excrement and urine detection module 10, liftable facial recognition module 11, voiceprint recognition module 12, sampling box 13, wash by water module 14, washing module 15, electric fan heater 16, ultraviolet lamp 17, facial recognition camera 18, sampling box 19, negative pressure air exhauster 20, cloud server 21, cloud printer 22.

Wherein the pre-inspection module comprises a two-part test. Selecting different urine detection schemes according to the gender information of the user obtained by identity recognition: the male (standing urinate) is detected spirally through the detection funnel, the detection strip extends out of the bottom end of the detection funnel, and the female extends out of the detection strip from the front end of the closestool device. In addition, the pre-inspection module is provided with 3 cameras and used for shooting videos of urine flow in multiple frames and color pictures displayed after the urine soaks the detection strip for a period of time, and the data processing software can analyze the videos divided into frames and further calculate the flow of the urine. Moreover, the data processing software can compare the color of the detected detection strip with the standard color, and further analyze the health condition of the human body from the urine flow and the display index of the detection strip.

As shown in figure 3, the collection module comprises a sampling piece drive, a sampling box drive and a motion cavity drive, and is used for collecting and storing the corresponding quantitative collection of urine and feces into the sampling box, so that the urine and the feces can be conveniently taken out and inspected.

As shown in fig. 6, when the intelligent toilet is a toilet, the sampling steps are specifically as follows:

step S4-1: and selecting an acquisition mode to work.

Step S4-2: the LCD touch screen 2 pops up identity authentication, and after the identity authentication, the face recognition module 11 and the voiceprint recognition module 12 are started to recognize the face and the voiceprint and determine user information.

Step S4-3: according to the sex of a user, corresponding urine and excrement are adopted for pre-detection, a sample enters a detection funnel, a pre-detection result is obtained after internal detection laces carry out spiral sampling, and the result is processed and uploaded to a cloud server.

Step S4-4: when the pressure sensor on the urine and excrement separation lifting platform 7 detects that a sufficient amount of samples are collected, the urine and excrement separation lifting platform 7 is started to enable the urine and excrement separation lifting platform 7 to rise to a position higher than the liquid level, and the sampling piece is driven to sample according to the type of the samples to be detected.

Step S4-5: the sampling member 18 collects the excrement of the user, retracts into the sampling box 19 to quantitatively collect the excrement in the sampling box 13, fixes the sampling box 13 and waits for subsequent operations (taking out for inspection or local inspection).

Step S4-6: and (3) covering the toilet device cover, starting the exhaust fan 20 to form a negative pressure environment in the toilet device, and starting the cleaning and disinfecting module M4 covered on the toilet device to spray and disinfect the inner wall and the seat cushion of the toilet device.

Further, for the urine pre-test section, for retractable urine test strips, the automated strip feeder places a stack of urine analysis strips at an angle so that each strip can slide down onto a custom retractable conveyor belt. The rubber belt is controlled by a servo motor which grips the strip and rotates in both clockwise and counterclockwise directions to cause the strip to flex. If the subunit detects urine flow, the test strip will extend outwardly so that the user can urinate on the strip. After the urination event is complete, the belt retracts the strip for colorimetric recording. After the colorimetric record is finished, the test paper strip is extended out by the conveyor belt and pushed into a toilet bowl device by a paper discharge servo motor. For a dual-camera based high frame rate uroflow instrument, two GoPro cameras are used placed at right angles, facing away from the user, to capture and analyze the physical characteristics of the urine flow. The image preprocessing steps of the participant's urination frame were as follows: 1. the urine flow falling into the FOV of the wide angle camera is originally captured. 2. The wide angle FOV frame does not deform. 3. Black and white transitions and smoothing. 4. Background subtraction frames only extract the urine flow. Then the synchronization settings of the left and right camera frames, depth estimation is performed from the two synchronized frames using geometric calculations. Erroneous measurement of urine volume due to flow rate variations, the flow rate is estimated using two ROIs within the camera frame, and finally the flow rate is corrected by dividing the sum of the depth-corrected pixel values by the frame shift.

As shown in fig. 7, when the intelligent toilet is a toilet bowl, the steps of the inspection are specifically as follows:

step S6-1: the selective detection mode is initiated.

Step S6-2: the user selects the return sample cassette 13 function and the newly added, compliant sample cassette 13 is automatically transferred to the interior of the sample box 19 for replenishment, or this step may not be performed.

Step S6-3: the LCD touch screen 2 pops up identity authentication, identifies the face and the voiceprint after confirmation, determines user information, and then executes detection work.

Step S6-4: the LCD touch screen 2 prompts whether to take out for inspection, if so, the sampling box pops up and is taken away by related personnel for inspection by the inspection mechanism, otherwise, local inspection is executed, and the sampling box 13 is conveyed to a corresponding urine or excrement inspection instrument for automatic inspection.

Step S6-5: and uploading the detection result to a cloud server, and printing the detection result by a connected cloud printer.

As shown in fig. 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. And simultaneously, face recognition is carried out, and according to the detection requirement obtained by cloud transmission, mode selection is automatically or manually entered, and three modes are provided: a general mode, an acquisition mode and a detection mode.

Wherein, the general mode software control flow is as shown in fig. 5, the general mode system is started, and the function selection is performed: 1. selecting and executing a seat ring heating function, and starting the seat ring heating function. And optionally not executing, and not starting the seat ring heating function. 2. The closestool flushing function is selected and executed, the closestool flushing function is executed, and the closestool is flushed. The selection is not performed directly with the water washing function selection. 3. And selecting a washing function, executing the washing function, and selecting a warm air drying mode after the washing is finished. And selecting not to execute, and directly entering a warm air drying mode for selection. 4. Selecting and executing a warm air drying function, executing the warm air drying function, and selecting a deodorization and sterilization mode after the warm air drying is finished. The selection is not executed, and the deodorization and sterilization mode selection is directly entered. 5. And selecting and executing the deodorization and sterilization function, and ending the general mode after the deodorization and sterilization is finished. And the selection is not executed and is directly finished.

Further, when the system selects to operate in the general mode, the following processes may be selected to be executed individually, or may be executed in the order recommended by the system. Firstly, the system can prompt whether the seat heating function needs to be started or not, if the function is needed, the seat heating function is selected to be executed, and the seat cushion on the closestool device main body can start automatic heating and heat preservation. After the function item of the predecessor is selected, the system prompts whether to flush the toilet device, and if the function item is selected to be executed, the flushing valve can be opened to flush excrement from the water outlet. After the former function is executed, the system prompts whether the washing function is needed or not, and the hip washing gun works if the execution is selected. After the former function is executed, the system prompts whether the warm air drying function is needed, and if the execution is selected, the warm air blower 16 will work. After the former function is executed, the system prompts whether the deodorization and sterilization function is needed or not, and if the deodorization and sterilization function is selected to be executed, the cleaning and sterilization module M4 works. After the whole process is executed, the system returns to the initial state of the general mode for standby, and waits for the next function selection.

Wherein, the collection mode software control flow is as shown in fig. 6, and the identity recognition function is started. And selecting the voiceprint and face recognition functions, and directly entering an acquisition mode without executing selection. And selecting and executing to perform voiceprint and face recognition. And after the identity is confirmed, selecting whether to execute urine volume detection and quality calculation, executing the selection, executing the urine volume detection and quality calculation and uploading a detection result. Choose not to perform, not calculate urine and quality. And then, selecting whether to execute the functions of the excrement and the detection function, selecting to execute, executing the functions of the excrement and the detection and uploading the detection result. The excrement and urine collection and separation system is characterized by comprising a selection and non-execution mode, wherein the excrement and urine and detection function is not executed, the collection mode is started simultaneously, whether excrement collection and separation functions are executed or not is selected, excrement is separated and collected, quantitative collection is carried out, sample sending is carried out correspondingly, disinfection and locking are directly carried out after sample sending is completed, the collection mode function is finished after disinfection is completed, the selection and non-execution are carried out, disinfection and locking are carried out, and the collection mode function is finished after disinfection.

The detection mode control flowchart is shown in fig. 7. When the system is selected to operate in the testing mode, it is first selected whether or not the function of returning the cartridge 13 is required, and if so, the system will verify and replenish the status of the internal cartridge 13, and then the system will return to the initialization state of the testing mode.

The system comprises a data processing software, a pre-inspection module, a data processing software and a data processing module, wherein the pre-inspection module of the system is called firstly, the pre-inspection module is provided with 3 cameras and is used for shooting videos of urine flow in multiple frames and color pictures displayed for a period of time after the urine wetting detection strips, and the data processing software analyzes the videos which are divided into frames and further calculates the flow of the urine. And the data processing software can compare the color of the detected detection strip with the standard color, and further analyze the health condition of the human body from the urine flow and the detection strip index. And the data of the pre-inspection result is automatically uploaded to the cloud end, so that the recording and the checking are convenient.

The method comprises the following steps of (1) detecting the excrement, uploading a detection result, printing the result, selecting not to execute the delivery detection function, not executing the urine detection 2, and finishing the detection mode function.

The control method of the system provided by the invention comprises the following steps:

the control flow is as follows in fig. 4:

step S1: turning on the power supply 1 starts the system.

Step S2: and automatically selecting whether the night lamp is turned on or not according to the ambient brightness.

And step S3: an operating mode is selected according to a display on the LCD touch screen 2.

And step S4: the power supply 1 is turned on to start the system, and the general mode operation fig. 5 is selected according to the display on the LCD touch panel 2.

Step S4-1: the LCD touch screen 2 prompts whether to start the seat ring heating function or not, whether to execute the step (the step can be selected not to be executed within 15 seconds) or not, and if the step is executed, the seat cushion heating wire 3 is started. Then the LCD touch screen 2 prompts whether to start the flushing of the closestool device, whether to execute the flushing is selected, and if the flushing is executed, the flushing module 14 is started. Then, whether the hip washing function is used or not is prompted, whether execution is selected or not is selected, and if the execution is performed, the washing module 15 is started. And then prompting whether to use the warm air drying function or not, selecting whether to execute or not, and starting the warm air blower 16 if executing. Then, whether the deodorization and sterilization function is executed or not is prompted, whether the deodorization and sterilization function is executed or not is selected, and if the deodorization and sterilization function is executed, the ultraviolet lamp 17 is started. The functions in the mode can be singly executed in an active selection mode.

Step S4-2: the acquisition mode is selected to operate (fig. 6).

Step S4-2-2: the LCD touch screen 2 pops up identity authentication, and after the identity authentication is confirmed, the face recognition module 11 and the voiceprint recognition module 12 are started to recognize the face and the voiceprint and determine user information.

Step S4-2-2: according to the sex of the user, the corresponding urine and excrement are adopted for pre-detection, the sample enters the detection funnel, a pre-detection result is obtained after the internal detection lace carries out spiral sampling, and the result is processed and uploaded to the cloud server.

Step S4-2-3: when the pressure sensor on the urine and excrement separating lifting platform 7 detects that a sufficient amount of samples are collected, the urine and excrement separating lifting platform 7 is started to ascend to a position higher than the liquid level, and the sampling box 13 is driven to sample according to the type of the samples to be detected.

Step S4-2-4: the sampling box 13 can collect excrement of a user, the sampling box 19 is retracted to collect the excrement quantitatively, the sampling box 13 is collected, and the sampling box 13 is fixed to wait for subsequent operation to be taken out for inspection or local inspection.

Step S4-2-5: and (3) covering the toilet device cover, starting the exhaust fan 20 to form a negative pressure environment in the toilet device, and starting the cleaning and disinfecting module M4 covered on the toilet device to spray and disinfect the inner wall and the seat cushion of the toilet device.

Step S4-3: selecting the detection mode enables fig. 7.

Step S4-3-1: the LCD touch screen 2 pops up identity authentication, identifies the face and the voiceprint after confirmation, determines user information, and then executes detection work, or can directly execute the detection work without identity confirmation.

Step S4-3-2: the user selects the sample return (18, 13) function, automatically transfers the newly added, compliant cartridge 13 to the interior of the sample chamber 19 for replenishment, and sterile locks the cartridge 13, or does not perform this step.

Step S4-3-3: the LCD touch screen 2 prompts whether to take out for inspection, if so, the sampling box pops up and is taken away by related personnel for inspection by the inspection mechanism, otherwise, local inspection is executed, and the sampling box 13 is conveyed to a corresponding urine or excrement inspection instrument for automatic inspection.

Step S5: and uploading the detection result to a cloud server, and printing the detection result by a connected cloud printer.

Claims

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 first and the second end of the pipe are connected with each other,

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;