A health control method and system based on smart toilet

Abstract

The present invention provides a health control method and system based on a smart toilet. The method includes monitoring the infrared radiation fluctuation caused by the fluctuation of the toilet water cover, and obtaining the characterization value generated by the fluctuation; and performing health detection on the user based on the fluctuation of the characterization value. The present invention sets the toilet recognition area inside the toilet, and controls the start of the health detection by infrared detection of the fluctuation of the water cover, so as to avoid frequent mis-touch in a small space.

Description

Technical Field

[0001] The present invention relates to the technical field of smart toilets, and in particular to a health control method and system based on a smart toilet. Background Art

[0002] Human beings' demand for toilets is constantly evolving, from early latrines to modern squat and sit-down toilets, and now to smart toilets with flushing functions. However, as people's health awareness continues to improve, health issues are receiving more and more attention. Therefore, people usually choose to go to hospitals or medical examination institutions for regular physical examinations to understand their health status. During the physical examination, the health status of the body can be detected by testing excreta such as urine or feces. However, the cycle of regular physical examinations is generally long, so smart toilets are used to track daily excreta to achieve daily health management of users, so that users can know their health status in time. However, how to automatically distinguish between feces and urine through smart toilets and then perform corresponding health management is an urgent problem to be solved. Summary of the invention

[0003] In view of the deficiencies in the prior art, the purpose of the present invention is to propose a health control method and system based on a smart toilet, in which the toilet recognition area is set inside the toilet, and the fluctuation of the water cover is detected by infrared to control the start of health detection, thereby avoiding frequent accidental touches in a small space.

[0004] According to one aspect of the present invention, a health control method based on a smart toilet is provided, the method comprising:

[0005] Monitor the infrared radiation fluctuation caused by the fluctuation of the toilet water cover, and obtain the characterization value of the fluctuation;

[0006] The user's health is checked based on the fluctuation of the characterization value.

[0007] In the above technical solution, the toilet water cover, that is, the static water film formed at the bottom of the toilet, plays an important role in isolating odors, bacteria and insects in the sewer and preventing them from invading the room. This water seal layer is formed naturally by gravity and persists by relying on the S-shaped or U-shaped pipe structure inside the toilet. During the flushing process, the water flow quickly carries the dirt out through the pipe, and then the system automatically replenishes clean water to the water seal line to form a new water seal layer. This study senses changes in infrared radiation by monitoring tiny fluctuations in the water cover. Experimental results show that when the water cover fluctuates, the integrated infrared sensor can sensitively capture subtle changes in infrared radiation, and the characteristic values ​​generated by these fluctuations can be used as trigger signals for health detection. Compared with the traditional external solution, this case places the recognition area inside the toilet to reduce the probability of false touch.

[0008] In some embodiments, the method specifically comprises:

[0009] Transmitting an infrared light signal to the water cover at a preset distance above the water cover;

[0010] When the water surface is calm, the reflected infrared radiation signal is recorded and used as the first characterization value;

[0011] When the water cover fluctuates, the fluctuation parameter value of infrared reflection or refraction is continuously collected, and the parameter value is used as the second characterization value, and the characterization sequence is formed after deducting the first characterization value;

[0012] The amplitude difference obtained by the characterization sequence is calculated. If the amplitude is less than the first threshold, it is determined to be urination and the urination health detection step is performed. Otherwise, it is determined to be defecation and the defecation health detection step is performed.

[0013] The fluctuation parameter value is the intensity signal of the light emitted to the water surface by the infrared sensor or combined with the change of the distance.

[0014] In the above technical solution, the water surface will fluctuate when the human body defecates or urinates, and the infrared sensor captures the fluctuation value at this time; the defecation action or urination action is distinguished by the fluctuation amplitude. Specifically: the infrared sensor emits infrared light signals at a preset position above the water surface and monitors the reflection of these signals. When the water surface does not fluctuate, the reflected infrared radiation signal remains stable, and this state is recorded as the reference signal or the first characterization value. When the water surface fluctuates due to human body movements or other factors, the reflected infrared radiation signal changes accordingly, and these changes are continuously collected and recorded as the second characterization value. By subtracting the first characterization value (reflection value in calm) from the second characterization value (reflection value in fluctuation), a characterization sequence is obtained, which truly reflects the fluctuation of the water surface and eliminates the influence of environmental factors on infrared radiation, thereby enhancing the accuracy and reliability of the system. The fluctuation amplitude of this characterization sequence is analyzed to distinguish between defecation actions and urination actions.

[0015] In some embodiments, the amplitude difference obtained by calculating the characterization sequence is: the amplitude difference is obtained by subtracting the first characterization from the second characterization value collected when the water surface fluctuates for the first time.

[0016] In the above technical solution, an infrared light signal is emitted at a predetermined position above the water cover, and the infrared radiation signal reflected by the water cover in a static state is recorded, and these signals are used as the first characterization value of the benchmark. When the water cover fluctuates due to toilet behavior, the infrared radiation parameter values ​​of these fluctuations are continuously collected and regarded as the second characterization value. By comparing the difference between the second characterization value (the parameter value in the fluctuation) and the first characterization value (the reflection value in calm), the smart toilet can distinguish between defecation and urination events. If this difference is lower than the preset first threshold, the system will judge it as urination; if the difference reaches or exceeds the threshold, it is judged as defecation. This judgment mechanism sets the threshold based on the fluctuation characteristics of the water cover caused by different toilet behaviors. The experimental results show that there are obvious differences in the changes in infrared radiation in the cases of urination and defecation, mainly because the fluctuation caused by urine entering the water is usually smaller than that of defecation entering the water, resulting in different fluctuations in infrared radiation and the intensity collected in the two cases. Based on this discovery, thresholds can be preset according to different usage scenarios to accurately distinguish between urination and defecation.

[0017] In some embodiments, the amplitude difference obtained by calculating the characterization sequence is: the result obtained according to the time difference or height difference of the peak or trough in the characterization sequence is used as the amplitude difference.

[0018] In the above technical solution, since urination is continuous entry into water and defecation is intermittent entry into water, and the fluctuation caused by urination entering water is usually smaller than that of defecation entering water, there are differences in the fluctuation of infrared radiation and the collected signals in the two cases. Based on this discovery, through the difference in time or height difference, thresholds can be preset according to different usage scenarios to achieve accurate distinction between urination and defecation.

[0019] In some embodiments, the urinary health detection step specifically includes: dividing the characterization sequence into multiple sub-characterization sequences according to the set time, extracting each peak or trough in the sub-characterization sequence and calculating the average peak value or average trough value, and judging whether the user has urinary health problems based on the fluctuation of the average peak value or average trough value in each sub-characterization sequence.

[0020] In the above technical solution, when there are dripping urine, intermittent urination or thinning urine flow, these symptoms may be caused by a variety of urinary system diseases, including but not limited to urinary tract infection, prostatitis, prostatic hyperplasia, cystitis, stones, etc. When there are dripping urine, intermittent urination or thinning urine flow, in the collected representation sequence, the sub-representation sequence is sorted in the order of collection time, and the average peak value or average trough value in the sub-representation sequence in the middle time period fluctuates greatly. Based on the above characteristics, it is judged that the user is likely to have urinary health problems.

[0021] In some embodiments, the urinary health detection step specifically includes: obtaining the start and end points of the characterization sequence, performing absorbance detection on the water in the toilet at the start and end points, and recording them as the initial absorbance and the final absorbance, and by comparing the difference between the initial absorbance and the final absorbance, if the absorbance difference is greater than a third threshold value, the user has a urinary health problem.

[0022] In the above technical solution, the change in urine absorbance can provide important clues for diagnosing a variety of urinary system diseases, including urinary tract infection, inflammation, metabolic diseases, abnormal renal function, etc. The above symptoms will lead to the presence of lingering foam in the urine, changes in urine transparency or urine color, etc., which will lead to differences in absorbance before and after use. Based on the above characteristics, when the difference in absorbance measured on the front and back sides is large, the user has urinary health problems. If abnormal changes in urine absorbance are observed, the user should be reminded to seek medical attention for further examination and diagnosis.

[0023] In some embodiments, the stool health detection step specifically includes: obtaining the height difference between each peak or trough in the characterization sequence and the adjacent peaks or troughs before and after, judging the time difference of stool falling, and judging the user's stool health based on the calculated time difference of stool falling.

[0024] In the above technical solution, if the stool falls very quickly, it may indicate that the intestinal peristalsis is fast, which may be caused by diarrhea, which may be caused by improper diet, intestinal infection or other digestive system problems. If the interval between stool drops is very long, it may mean that the intestinal peristalsis is slow, which may be a sign of constipation, which may be related to bad living habits, such as sitting for a long time, lack of sufficient fiber intake in the diet, insufficient water intake, etc. Based on the above characteristics, when the stool does not fall, the fluctuation amplitude will continue to decay, and the stool will fluctuate if it falls. Therefore, by obtaining each peak or trough in the characterization sequence, the peak is calculated with the adjacent peak for difference calculation. When it is detected that the peak or trough is higher than the adjacent peaks or troughs before and after, that is, the difference exceeds the set threshold, it indicates that stool has fallen in this band. Therefore, by calculating the frequency of stool falling, it is judged whether the user has diarrhea or constipation.

[0025] In some embodiments, the time difference of stool dropping specifically includes: obtaining the height difference between each peak or trough in the characterization sequence and the adjacent peaks or troughs before and after; when the height difference exceeds a set value, stool is dropped at the time point of the middle peak or trough, and the time point of the middle peak or trough is recorded; counting all the time points of stool dropping in the characterization sequence, and calculating the time difference of stool dropping.

[0026] In some embodiments, based on the second characterization value, the output voltage value of the collected second characterization value at the corresponding time point is obtained and calculated based on the following formula:

[0027]

[0028] Where, C is the theoretical temperature value; V is the output voltage value; K is the sensor constant, which is the product of the detector sensitivity R, the standard urine emissivity ∈ and the Stefan-Boltzmann constant σ;

[0029] The representation sequence is generated by extracting the second representation value in real time.

[0030] In the above technical solution, the above formula is used to calculate the theoretical temperature value C, which is based on the law of physics and is used to extract temperature information from the voltage output of the sensor. Furthermore, based on the characterization sequence, a mapping relationship between the theoretical temperature value and the toilet time t is constructed. This mapping relationship helps to deeply understand the dynamic change of temperature over time during the toilet process.

[0031] In the above technical solution, the peak height is identified by infrared radiation, which is more accurate than the trough. It can avoid the feces being captured at the moment of entering the water and being considered as the trough position, which affects the recognition depth.

[0032] According to another aspect of the present invention, a health control system based on an intelligent toilet is provided, the system is based on the method as described above; the system comprises:

[0033] The sensor module is configured to: monitor the infrared radiation fluctuation caused by the fluctuation of the toilet water cover, and obtain the characterization value generated by the fluctuation; trigger the user health detection based on the fluctuation of the characterization value;

[0034] The intelligent module is configured to trigger user health detection based on the start and end time points obtained from the sensor module.

[0035] In the above technical scheme, in order to better use the above method, the present application proposes a health control system based on a smart toilet, and each module corresponds to each step of the above method. The specific principles have been described above and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] On the premise of creative work, other drawings can be obtained based on these drawings.

[0037] Figure 1 It is a flow chart of an embodiment of a health control method based on a smart toilet of the present invention;

[0038] Figure 2This is a schematic diagram of a water cover in a calm state according to an embodiment of a health control method based on an intelligent toilet of the present invention;

[0039] Figure 3 This is a schematic diagram of a water cover user standing and urinating in an embodiment of a health control method based on a smart toilet of the present invention;

[0040] Figure 4 This is a schematic diagram of a water cover user sitting down to urinate according to an embodiment of a health control method based on a smart toilet of the present invention;

[0041] Figure 5 This is a schematic diagram of a water cover user sitting down to defecate according to an embodiment of a health control method based on an intelligent toilet of the present invention;

[0042] Figure 6 It is a framework diagram of an embodiment of a health control method based on a smart toilet of the present invention. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention. In addition, the technical features involved in each embodiment of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0044] The present invention provides a health control method and system based on a smart toilet, wherein a toilet recognition area is set inside the toilet, and the fluctuation of a water cover is detected by infrared rays to control the start of health detection, thereby avoiding frequent mis-touch in a small space.

[0045] Embodiment 1

[0046] See also Figure 1 , a health control method based on a smart toilet, the method comprising:

[0047] S1, monitoring the infrared radiation fluctuation caused by the fluctuation of the toilet water cover M, and obtaining the characterization value generated by the fluctuation;

[0048] See also Figure 2, K in the figure represents an infrared sensor that transmits and receives all the information, that is, an active infrared sensor, which irradiates infrared light to the water cover, and the light from the water cover is reflected back to the infrared sensor. A split sensor can also be used, as long as it can radiate infrared light and receive light reflection, which will not be repeated or listed here. At the same time, it should be noted that the emission angle can be set according to the configuration of the inner wall of the toilet, and the radiated light can be as far as possible on the water cover. The specific angle setting can be set according to actual needs. The schematic diagram of emission and reflection at different angles is drawn in the figure for reference only. M0 in the figure represents the toilet water cover, that is, the static water film formed at the bottom of the toilet, which plays an important role in isolating odors, bacteria and insects in the sewer and preventing them from invading the room. This water seal layer is naturally formed by gravity and continues to exist by relying on the S-shaped or U-shaped pipe structure inside the toilet. During the flushing process, the water flow quickly carries the dirt out through the pipe, and then the system automatically replenishes clean water to the water seal line to form a new water seal layer.

[0049] See also Figure 3 , Figure 3 A schematic diagram of a man urinating is drawn. In the figure, P1 represents the radiation direction and trajectory of urine. When a man urinates, the water cover M0 of the toilet bowl causes fluctuations, forming a water wave M1. When urine enters the water cover, the changes in infrared radiation are sensed by monitoring the fluctuations of the water cover. The experimental results show that when the water cover fluctuates, the integrated infrared sensor can sensitively capture the subtle changes in infrared radiation, and the characteristic values ​​generated by these fluctuations can be used as a trigger signal for flushing. Compared with the traditional external solution, this case places the recognition area inside the toilet to reduce the probability of accidental touch. It should be noted that different infrared sensors have different parameter indicators such as sensitivity, and the structures of different toilet products are also different. Those skilled in the art can adapt the corresponding infrared sensor according to their own toilet configuration, which will not be repeated here.

[0050] See also Figure 4 , Figure 4 A schematic diagram of a woman urinating is drawn. In the figure, P2 represents the radiation direction and trajectory of urine. When a woman urinates, the toilet water cover M0 fluctuates, forming water waves M2. Since men usually urinate while standing, and because of differences in body shape and muscle mass, when urine enters the water cover, the ripples are more intense, while women's are more moderate. The monitoring principle is the same as above and will not be repeated here.

[0051] See also Figure 5 , Figure 5A schematic diagram of defecation is drawn. In the figure, P3 indicates that the water cover M0 fluctuates due to the feces entering the water. Since the volume and weight of feces far exceed that of urine, the intensity of the fluctuation of the water cover when entering the water is much higher than that of urination. The threshold can be set to judge the initial state and distinguish the two toilet methods, thereby avoiding false triggering. It should be noted that due to the different toilet heights, water cover sizes and sensor usage, the threshold setting can be set according to the products of technicians in this field, and is not limited here.

[0052] S2. Perform health check on the user based on the fluctuation of the characterization value.

[0053] The change graph of the characterization value over time can be used to determine the start and end points of toileting and count the toileting time through the start and end points of the change. By analyzing the characterization value during toileting, the user's health can be checked based on the fluctuation of the characterization value.

[0054] In this embodiment, Figure 3 For example, the method specifically:

[0055] A1, transmits an infrared light signal to the water cover M0 at a preset distance above the water cover;

[0056] A2, recording the reflected infrared radiation signal when the water cover M0 is calm, and using it as the first characterization value;

[0057] A3, when the water cover generates fluctuations to form water wave M1, the fluctuation parameter value of infrared reflection or refraction is continuously collected, and the parameter value is used as the second characterization value, and the characterization sequence is formed after deducting the first characterization value;

[0058] A4. Calculate the amplitude difference obtained by the characterization sequence. If the amplitude is less than the first threshold, it is determined to be urination, and the urination health detection step is performed. Otherwise, it is determined to be defecation, and the defecation health detection step is performed.

[0059] In this embodiment, an infrared light signal is emitted at a predetermined position above the water cover, and the fluctuation value captured by the infrared sensor at this time is distinguished by the fluctuation amplitude. Specifically: the infrared sensor emits an infrared light signal at a preset position above the water cover and monitors the reflection of these signals. When the water cover does not fluctuate, the reflected infrared radiation signal remains stable, and this state is recorded as a reference signal or a first characterization value. When the water cover fluctuates due to human body movements or other factors, the reflected infrared radiation signal changes accordingly, and these changes are continuously collected and recorded as a second characterization value. By subtracting the first characterization value (reflection value in calm) from the second characterization value (reflection value in fluctuation), a characterization sequence is obtained, which truly reflects the fluctuation of the water cover and eliminates the influence of environmental factors on infrared radiation, thereby enhancing the accuracy and reliability of the system. The fluctuation amplitude of this characterization sequence is analyzed to distinguish between defecation and urination. It should be noted that due to different toilet heights, water cover sizes and sensor usage, the first threshold can be set according to the own products of technicians in this field, and is not limited here.

[0060] As a similar solution, after defecation or urination, according to the generated characterization sequence, the height of fluctuations and the frequency of fluctuations generated by defecation and urination are obviously different. Based on this discovery, by distinguishing the time difference or height difference of the peak or trough, the threshold can be preset according to different usage scenarios to accurately distinguish the urination action from the defecation action, thereby distinguishing the defecation action or the urination action. That is, according to the time difference or height difference of the peak or trough in the characterization sequence, the result obtained is used as the amplitude difference.

[0061] When the urination action is recognized, the urination health detection is started.

[0062] When there is dripping urine, intermittent urination or thinning urine flow, these symptoms may be caused by a variety of urinary system diseases, including but not limited to urinary tract infection, prostatitis, prostatic hyperplasia, cystitis, stones, etc. When there is dripping urine, intermittent urination or thinning urine flow, in the collected representation sequence, the sub-representation sequence is sorted in the order of collection time, and the average peak value or average trough value in the sub-representation sequence in the middle time period fluctuates greatly. Based on the above characteristics, it is judged that the user is likely to have urinary health problems.

[0063] The urine health detection step specifically includes:

[0064] A41, dividing the representation sequence into multiple sub-representation sequences according to the set time;

[0065] A42, extracting each peak or trough in the sub-characterization sequence and calculating the average peak value or average trough value;

[0066] A43. Judging whether the user has urinary health problems by the fluctuation of the average peak value or the average trough value in each sub-characterization sequence.

[0067] By sorting the sub-characterization sequences in chronological order, averaging the fluctuation values ​​of the sub-characterization sequences, and then comparing the fluctuations of each sub-characterization sequence to judge, in theory, when the user is healthy, the fluctuation values ​​of the sub-characterization sequences are close, that is, in the same interval; or sorted by time, the fluctuation values ​​of the sub-characterization sequences gradually increase and then decrease. Therefore, when the fluctuation values ​​of each sub-characterization sequence are greatly different, or the fluctuations are irregular, it indicates that there is urine dripping, intermittent urination, or thinning of urine flow.

[0068] In the above technical solution, multiple experiments can be used to adjust the theoretical range of the fluctuation value of the sub-characterization sequence of the healthy population according to the height of the family members, usage conditions, etc. The fluctuation value of the sub-characterization sequence is not limited here.

[0069] In some embodiments, changes in urine absorbance can provide important clues for diagnosing a variety of urinary system diseases, including urinary tract infection, inflammation, metabolic diseases, abnormal renal function, etc. The above symptoms will cause the presence of lingering foam in the urine, changes in urine transparency or urine color, etc., resulting in differences in absorbance before and after use. Based on the above characteristics, when the difference in absorbance measured between the front and back sides is large, the user has urinary health problems. If abnormal changes in urine absorbance are observed, the user should be promptly reminded to seek medical attention for further examination and diagnosis.

[0070] However, in some scenarios, when the blue liquid is added to the toilet, it is usually called toilet cleaner or toilet cleaner, which is a product specially used to clean and disinfect the toilet. To avoid the influence of the color on the absorbance, the absorbance of the water in the toilet is tested at two time points at the beginning and end of the characterization sequence, and the difference between the two absorbances is calculated to ensure the accuracy of the test results.

[0071] The urine health detection step specifically includes:

[0072] A44. Obtain the start and end points of the characterization sequence, detect the absorbance of the water in the toilet at the start and end points, and record them as the initial absorbance and the final absorbance;

[0073] A45. By comparing the difference between the initial absorbance and the final absorbance, if the absorbance difference is greater than a third threshold value, the user has urinary health problems.

[0074] In the above technical solution, the third threshold value can be determined by a technician in this field through multiple experiments to adopt a suitable third threshold value, thereby adjusting different test accuracies, which is not limited here.

[0075] When a bowel movement is identified, the bowel health detection is initiated.

[0076] If the stool falls very quickly, it may indicate that the intestinal peristalsis is fast, which may be caused by diarrhea, which may be caused by improper diet, intestinal infection or other digestive system problems. If the interval between stool falls is very long, it may mean that the intestinal peristalsis is slow, which may be a sign of constipation, which may be related to bad living habits, such as sitting for a long time, lack of sufficient fiber intake in the diet, insufficient water intake, etc. Based on the above characteristics, when the stool does not fall, the fluctuation amplitude will continue to decay, and the stool will fluctuate if it falls. Therefore, by obtaining each peak or trough in the characterization sequence, the peak is calculated with the adjacent peak for difference calculation. When it is detected that the peak or trough is higher than the adjacent peaks or troughs before and after, that is, the difference exceeds the set threshold, it indicates that stool has fallen in this band. Therefore, by calculating the frequency of stool falling, it is judged whether the user has diarrhea or constipation. If the frequency is measured to be too fast or too slow, it may indicate that the user has health abnormalities. Furthermore, by counting the number of abnormal bowel movements over a certain period of time, such as a month or a year, and informing the user, the user can more accurately understand his or her own health status and provide data for the doctor's reference when seeking medical treatment.

[0077] The stool health detection step specifically includes:

[0078] B41, obtaining the height difference between each peak or trough in the characterization sequence and the adjacent peaks or troughs before and after;

[0079] B42. When the height difference exceeds the set value, stool falls at the time point of the middle peak or trough, and the time point of the middle peak or trough is recorded;

[0080] B43. Statistically characterize all stool dropping time points in the sequence and calculate the time difference of stool dropping.

[0081] The above method can be used to obtain the frequency of stool falling during a toilet visit, thereby determining whether the user has diarrhea or constipation.

[0082] In some embodiments, based on the second characterization value, the output voltage value of the collected second characterization value at the corresponding time point is obtained and calculated based on the following formula:

[0083]

[0084] Where, C is the theoretical temperature value; V is the output voltage value; K is the sensor constant, which is the product of the detector sensitivity R, the standard urine emissivity ∈ and the Stefan-Boltzmann constant σ;

[0085] The representation sequence is generated by extracting the second representation value in real time.

[0086] In the above technical solution, the above formula is used to calculate the theoretical temperature value C, which is based on the law of physics and is used to extract temperature information from the voltage output of the sensor. Furthermore, based on the characterization sequence, a mapping relationship between the theoretical temperature value and the toilet time t is constructed. This mapping relationship helps to deeply understand the dynamic change of temperature over time during the toilet process.

[0087] In the above technical solution, the peak height is identified by infrared radiation, which is more accurate than the trough. It can avoid the feces being captured at the moment of entering the water and being considered as the trough position, which affects the recognition depth.

[0088] Embodiment 2

[0089] According to another aspect of the present invention, a health control system based on an intelligent toilet is provided, the system is based on the method as described above; the system comprises:

[0090] The sensor module is configured to: monitor the infrared radiation fluctuation caused by the fluctuation of the toilet water cover, and obtain the characterization value generated by the fluctuation; trigger the user health detection based on the fluctuation of the characterization value;

[0091] The intelligent module is configured to trigger user health detection based on the start and end time points obtained from the sensor module.

[0092] In the above technical scheme, in order to better use the above method, the present application proposes a health control system based on a smart toilet, and each module corresponds to each step of the above method. The specific principles have been described above and will not be repeated here.

[0093] In the description of the present invention, it is to be understood that the terms “center”, “longitudinal”, “lateral”, “length”, “width”, “thickness”, “up”, “down”, “front”, “back”, “left”, “right”, “vertical”, “horizontal”, “top”, “bottom”, “inside”, “outside”, “clockwise”, “counterclockwise”, “axial”, “radial”, “circumferential”, etc., indicating orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0094] In the description of the present invention, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features.

[0095] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A health control method based on a smart toilet, characterized in that: The method comprises: Monitor the infrared radiation fluctuation caused by the fluctuation of the toilet water cover, and obtain the characterization value of the fluctuation; The user's health is checked based on the fluctuation of the characterization value.

2. A health control method based on a smart toilet as claimed in claim 1, characterized in that: The method specifically comprises: Transmitting an infrared light signal to the water cover at a preset distance above the water cover; When the water surface is calm, the reflected infrared radiation signal is recorded and used as the first characterization value; When the water cover fluctuates, the fluctuation parameter value of infrared reflection or refraction is continuously collected, and the parameter value is used as the second characterization value, and the characterization sequence is formed after deducting the first characterization value; The amplitude difference obtained by the characterization sequence is calculated. If the amplitude is less than the first threshold, it is determined to be urination and the urination health detection step is performed. Otherwise, it is determined to be defecation and the defecation health detection step is performed.

3. A health control method based on a smart toilet according to claim 2, characterized in that: The amplitude difference obtained by calculating the characterization sequence is: The amplitude difference is obtained by subtracting the first characterization value from the second characterization value collected when the water surface first fluctuates.

4. A health control method based on a smart toilet according to claim 2, characterized in that: The amplitude difference obtained by calculating the characterization sequence is: The result is taken as the amplitude difference according to the time difference or height difference of the peak or trough in the characterization sequence.

5. The health control method based on the smart toilet according to claim 2, characterized in that: The urine health detection step specifically includes: The characterization sequence is divided into multiple sub-characterization sequences according to the set time, each peak or trough in the sub-characterization sequence is extracted and the average peak value or average trough value is calculated, and the user's urinary health problems are judged based on the fluctuation of the average peak value or average trough value in each sub-characterization sequence.

6. A health control method based on a smart toilet according to claim 2, characterized in that: The urine health detection step specifically includes: The start and end points of the characterization sequence are obtained, and the absorbance of the water in the toilet is detected at the start and end points, and recorded as the initial absorbance and the final absorbance. By comparing the difference between the initial absorbance and the final absorbance, if the absorbance difference is greater than a third threshold, the user has urinary health problems.

7. A health control method based on a smart toilet according to claim 2, characterized in that: The stool health detection step specifically includes: The height difference between each peak or trough in the characterization sequence and the adjacent peaks or troughs is obtained to determine the time difference of stool falling, and the user's stool health condition is determined based on the calculated time difference of stool falling.

8. A health control method based on a smart toilet according to claim 7, characterized in that: The time difference of stool falling specifically includes: Obtaining the height difference between each peak or trough in the characterization sequence and the adjacent peaks or troughs before and after; When the height difference exceeds the set value, feces fall at the time point of the middle peak or trough, and the time point of the middle peak or trough is recorded; Statistically characterize all stool drop time points in the sequence and calculate the time difference of stool drop.

9. The health control method based on the smart toilet according to claim 2, characterized in that: Based on the second characterization value, the output voltage value of the collected second characterization value at the corresponding time point is obtained, and is calculated based on the following formula: Where, C is the theoretical temperature value; V is the output voltage value; K is the sensor constant, which is the product of the detector sensitivity R, the standard urine emissivity ∈ and the Stefan-Boltzmann constant σ; The representation sequence is generated by extracting the second representation value in real time.

10. A health control system based on a smart toilet, characterized in that: Based on the method described in any one of claims 1 to 9; the system comprises: The sensor module is configured to: monitor the infrared radiation fluctuation caused by the fluctuation of the toilet water cover, and obtain the characterization value generated by the fluctuation; trigger the user health detection based on the fluctuation of the characterization value; The intelligent module is configured to trigger user health detection based on the start and end time points obtained from the sensor module.

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