Intelligent toilet water-saving system using grey water cascade utilization

Abstract

The application discloses an intelligent toilet water-saving system utilizing grey water cascade utilization, and relates to the technical field of intelligent toilets. The intelligent toilet water-saving system utilizing grey water cascade utilization is combined with a sensor array and a control system. The control system calculates a pollution index according to a sensor signal and dynamically determines the proportion of a grey water flushing section and a clean water cleaning section. The system can determine whether to trigger a supplementary flushing or a pneumatic anti-blocking dredging module according to the liquid level drop rate in the sewage pipe and the residual dirt area. The pneumatic anti-blocking dredging module utilizes compressed air pulses and grey water cooperation, thereby realizing sensing of the actual pollution degree of excrement and self-adaptive flushing. The system avoids waste caused by fixed water volume flushing or insufficient cleanliness. When there is local residual dirt, the system only performs a small amount of supplementary flushing instead of full volume re-flushing, thereby improving the water-saving effect. The system integrates an automatic pneumatic anti-blocking function in the toilet system, thereby improving the use convenience and hygiene.

Description

Technical Field

[0001] This invention relates to the field of smart toilet technology, specifically to a smart toilet water-saving system that utilizes grey water in a tiered manner. Background Technology

[0002] With the increasing prominence of water scarcity, many water-saving sanitary ware products, especially water-saving toilets, have been launched on the market. Among the existing water-saving toilet technologies, a typical solution is the "one-button sequential flushing toilet tank," which uses mechanical water level difference switching to achieve sequential flushing by first discharging waste and then introducing clean water, thus reducing the amount of clean water used to a certain extent. Another solution is the "smart toilet water-saving device," which sets up a grey water (such as washing water, laundry water, and other domestic recycled water) storage tank and a tap water inlet, and uses a diversion valve to achieve time-sharing or separate use of grey water and clean water. In addition, some smart toilets also integrate a large and small flushing mode switch, which allows users to manually select or achieve different flushing volumes based on pressure switches. All of the above technical solutions are based on fixed thresholds or mechanical triggers, and the flushing strategy is relatively fixed.

[0003] The existing technology still has the following shortcomings in practical applications:

[0004] First, the determination of flushing water volume is mostly based on fixed set values ​​or simple large and small flush settings, which can easily lead to situations where "small dirt is flushed with large water" resulting in water waste or "large dirt is not flushed clean" requiring repeated flushing.

[0005] Second, for toilet systems that use grey water recycling, the ratio of grey water to clean water is usually fixed (e.g., all grey water is used first, then all clean water is used). It is impossible to dynamically adjust the water ratio of the impact section and the clean section according to the actual degree of pollution, making it difficult to achieve the best balance between grey water utilization and flushing cleanliness.

[0006] Third, the existing solution lacks a real-time feedback mechanism for the rinsing effect. When there are still residual dirt after the first rinse, a full rinsing is usually used, resulting in a large waste of purified water.

[0007] Fourth, clogged toilet drain pipes are a common problem. Existing technologies mostly rely on users to use external unclogging tools or hire professionals, which is not only labor-intensive but also extremely unhygienic. There is no effective solution in smart toilet products that can automatically identify clogs and actively unclog them. In view of the shortcomings of existing technologies, this invention provides a smart toilet water-saving system that utilizes grey water in a tiered manner to solve the above problems. Summary of the Invention

[0008] To address the shortcomings of existing technologies, this invention provides an intelligent toilet water-saving system that utilizes grey water in a tiered manner, thereby solving the problems mentioned in the background section.

[0009] To achieve the above objectives, the present invention provides the following technical solution: an intelligent toilet water-saving system utilizing grey water in a cascade manner, comprising:

[0010] bedpan;

[0011] The sewage pipe is connected to the toilet bowl;

[0012] The sensor array includes at least sensors for detecting the weight of excrement, the area of ​​soiling, and changes in water level;

[0013] Grey water storage unit, comprising at least one level of grey water storage chamber;

[0014] The water purification unit is used to provide clean water;

[0015] The pneumatic anti-clogging and unblocking module is used to introduce compressed air into the toilet bowl to prevent clogging.

[0016] The control system is connected to the sensor array, the grey water storage unit, and the water purification unit, and is configured as follows:

[0017] The pollution index is calculated based on the detection signals from the sensor array;

[0018] The ratio of the grey water impact section to the clean water section is dynamically determined based on the pollution index, and the grey water impact section rinsing and the clean water section rinsing are performed sequentially.

[0019] During or after rinsing, the system determines whether to trigger supplementary rinsing or the pneumatic anti-blocking and unblocking module based on the rate of drop in the liquid level in the drain pipe and the area of ​​residual dirt.

[0020] The pneumatic anti-blockage and unblocking module utilizes the combined action of compressed air pulses and ash water.

[0021] Preferably, the sensor array includes:

[0022] A weight sensor, installed at the bottom of the toilet bowl or in its support structure, is used to detect the mass of excrement.

[0023] An image sensor, facing the bottom area of ​​the toilet bowl, is used to identify the shape of excrement and the area of ​​soiling;

[0024] An ultrasonic water level sensor is used to detect the water level and the rate of change of water level in a toilet bowl trap or drain pipe.

[0025] Preferably, the control system calculates the pollution index in the following way:

[0026]

[0027] Where W is the value detected by the weight sensor, A is the value detected by the dirty area, and H is the change in water level; Wmax, Amax, and Hmax are the corresponding preset maximum values; α, β, and γ are preset weighting coefficients, and α+β+γ=1.

[0028] Preferably, the method by which the control system dynamically determines the ratio of the grey water impact section to the clean water section includes:

[0029] The pollution index P is compared with multiple predetermined pollution level thresholds, and each pollution level corresponds to a set of grey water ratio and clean water ratio.

[0030] The water volume in the grey water impact section is linearly adjusted based on the baseline water volume and the deviation of the pollution index P from the median value, and is limited to a preset minimum water volume and maximum water volume.

[0031] The water volume of the clean water purification section is obtained by subtracting the water volume of the grey water impact section from the total rinsing water volume, and is not lower than the preset minimum clean water volume.

[0032] Preferably, the system also includes a user-selectable operating mode, which includes at least an economical water-saving mode and a deep cleaning mode; the control system loads the corresponding total flushing water volume, residual dirt area threshold, and temperature setpoint of the clean water section according to the selected mode.

[0033] Preferably, the conditions for the control system to determine whether to trigger supplementary flushing include:

[0034] After at least one rinse, the area of ​​residual dirt is detected by an image sensor;

[0035] If the area of ​​residual dirt is greater than the preset residual area threshold, and at the same time the rate of drop in the liquid level in the drain pipe is greater than the preset normal flow threshold, it is determined to be a local residual in a non-blocked state, triggering supplementary flushing. The water consumption for supplementary flushing is less than the water consumption for full refluxing.

[0036] The amount of water used for supplementary rinsing is calculated linearly based on the ratio of the residual dirt area to the residual area threshold, and does not exceed the preset upper limit of supplementary water volume.

[0037] Preferably, the conditions for the control system to determine whether to trigger the pneumatic anti-blockage and unblocking module include:

[0038] First condition: If the water purification section is completed, the liquid level in the drain pipe is higher than the reference water level and the duration exceeds the first time threshold.

[0039] Second condition: The rate of liquid level drop is lower than the preset blockage rate threshold and the duration exceeds the second duration threshold;

[0040] If any of the above conditions are met, the control system determines that the sewage pipe is blocked, triggers an early warning, and starts pneumatic pulse unblocking.

[0041] Preferably, the pneumatic anti-blockage and unblocking module includes:

[0042] A miniature air pump outputs compressed air with a preset upper limit of air pressure, which is intermittently sprayed into the drain outlet at a predetermined frequency and a predetermined number of pulses.

[0043] Each pneumatic pulse simultaneously injects a predetermined amount of grey water as a lubricant;

[0044] After the unblocking operation is completed, re-check the rate of liquid level drop. If it still does not reach the normal range, repeat the unblocking process. If it is still ineffective after repetition, issue a serious blockage alarm signal.

[0045] Preferably, the grey water storage unit includes multiple grey water storage chambers of different levels, namely a first grey water chamber, a second grey water chamber, and a third grey water chamber, which respectively store grey water from different sources or with different treatment levels; the control system, according to the pollution index and the current operating mode, sequentially or preferentially retrieves grey water from the corresponding level grey water chambers for use in the grey water impact section.

[0046] Preferably, the economic water-saving mode and the deep cleaning mode have different set values ​​for at least one of the following control parameters: total flushing water volume, residual dirt area threshold, clean water temperature, upper limit of gray water ratio, maximum water volume for supplementary flushing, and sensitivity threshold of liquid level drop rate of the pneumatic anti-blocking and unblocking module.

[0047] The technical effects and advantages of this invention are as follows:

[0048] This intelligent toilet water-saving system, which utilizes grey water in a tiered manner, firstly combines a sensor array with a control system. The control system calculates the pollution index based on sensor signals and dynamically determines the ratio of grey water impact section to clean water cleaning section. It can also determine whether to trigger supplementary flushing or pneumatic anti-clogging module based on the rate of liquid level drop in the drain pipe and the area of ​​residual dirt. The pneumatic anti-clogging module uses compressed air pulses in conjunction with grey water to achieve perception and adaptive flushing of the actual degree of pollution of excrement, avoiding waste or insufficient cleanliness caused by fixed water volume flushing. At the same time, it only performs a small amount of supplementary flushing instead of full re-flushing when there is local residue, improving water-saving effect. The automatic pneumatic anti-clogging function is integrated into the toilet system, improving the convenience and hygiene of use.

[0049] Secondly, by setting up a grey water storage unit containing at least one level grey water storage chamber and user-selectable economic water-saving mode and deep cleaning mode, the control system dynamically adjusts the water volume distribution and temperature setting of the grey water impact section and the clean water cleaning section according to the pollution index and the selected mode, and simultaneously injects grey water as a lubricant during pneumatic anti-clogging, realizing the tiered utilization and refined scheduling of grey water, maximizing grey water utilization rate while ensuring rinsing cleanliness, and the switching between the two modes meets the differentiated needs of different users for water saving and deep cleaning.

[0050] Third, by adopting a pollution index formula based on real-time detection and a multi-threshold segmented control strategy, deterministic rules replace complex online learning models, making the control decision for each flush completely dependent on the current sensor measured values. This avoids the uncertainty and debugging difficulties brought about by historical data storage and algorithm training. At the same time, all formula parameters and thresholds can be determined through factory calibration, ensuring the transparency, repeatability and low computational overhead of the control logic, making it easy to pass water-saving product certification and large-scale production. Attached Figure Description

[0051] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0052] Figure 1 This is a schematic diagram of the overall system structure of the present invention;

[0053] Figure 2 This is a diagram of the overall system architecture of the present invention;

[0054] Figure 3 This is the main flowchart of the water-saving control system for the intelligent toilet of this invention;

[0055] Figure 4 This is a flowchart of the pollution index calculation and proportioning decision-making process of this invention;

[0056] Figure 5 To supplement this invention, a flushing judgment and execution flowchart is provided;

[0057] Figure 6 This is a flowchart of the judgment and execution process of the pneumatic anti-blockage and unblocking module of the present invention.

[0058] In the diagram: 1. Toilet; 2. Sewage pipe; 3. Sensor array; 31. Weight sensor; 32. Image sensor; 33. Ultrasonic water level sensor; 4. Grey water storage unit; 41. First grey water chamber; 42. Second grey water chamber; 43. Third grey water chamber; 5. Water purification unit; 6. Control system; 7. Miniature air pump. Detailed Implementation

[0059] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0060] This embodiment discloses an intelligent toilet water-saving system that utilizes grey water in a cascade manner, according to the appendix. Figure 1 To be continued Figure 6 As shown, the system includes: a toilet bowl 1, a drain pipe 2 connected to the toilet bowl 1, a sensor array 3, a greywater storage unit 4, a water purification unit 5, a pneumatic anti-clogging and unblocking module, and a control system 6. The sensor array 3 includes at least a weight sensor 31 for detecting the weight of excrement, an image sensor 32 for identifying the area of ​​soiling, and an ultrasonic water level sensor 33 for detecting the water level and the rate of water level change. The greywater storage unit 4 contains at least one greywater storage chamber for storing greywater from domestic wastewater such as handwashing, laundry, or vegetable washing, which has undergone preliminary filtration. The water purification unit 5 is connected to a tap water inlet. The system is equipped with an instant heating module to provide high-temperature clean water, and a pneumatic anti-clogging module to introduce compressed air into the toilet bowl 1 to prevent clogging. The control system 6 is connected to the sensor array 3, the grey water storage unit 4, the water purification unit 5, the diversion valve, the rotatable nozzle, and the micro air pump 7. It is configured to calculate the pollution index based on the sensor detection signal, dynamically determine the ratio of the grey water impact section to the clean water purification section, and perform two-stage flushing in sequence. During or after the flushing process, it determines whether to trigger supplementary flushing or the pneumatic anti-clogging module based on the rate of liquid level drop and the area of ​​residual dirt in the drain pipe 2.

[0061] Furthermore, the grey water storage unit 4 includes three grey water storage chambers of different levels: a first grey water chamber 41, a second grey water chamber 42, and a third grey water chamber 43, which store grey water from different sources or with different treatment levels. Each grey water chamber is equipped with an independent inlet valve, a filter screen, an overflow port, and a bottom drain valve. The overflow port is connected to the sewer through a pipeline to prevent water from overflowing. The control system 6, based on the pollution index and the current water-saving mode, sequentially or preferentially draws grey water from the corresponding level of grey water chamber for use in the grey water impact section. For example, when the pollution index is low, the cleaner grey water in the second or third grey water chamber 43 is preferentially drawn; when the pollution index is high, the primary grey water with a larger volume in the first grey water chamber 41 is preferentially drawn.

[0062] Furthermore, the sensor array 3 is specifically arranged as follows: a weight sensor 31 is installed on the bottom support structure of the toilet bowl 1 or at the load-bearing position where the ceramic contacts the ground, for detecting the mass of excrement; an image sensor 32 is installed on the inner wall of the toilet bowl 1 near the upper edge and facing the bottom area of ​​the toilet bowl 1, and is equipped with an anti-fog coating and a self-cleaning nozzle, for identifying the shape of excrement and the area of ​​soiling; an ultrasonic water level sensor 33 is installed at the water trap of the toilet bowl 1 or at the beginning of the drain pipe 2, for detecting the water level height before flushing, during flushing, and after flushing, as well as the rate of change of the water level over time.

[0063] Specifically disclosed, Control System 6 calculates the pollution index using the following formula:

[0064]

[0065] Wherein, W is the mass of excrement detected by weight sensor 31, A is the area of ​​dirt identified by image sensor 32, and H is the water level change caused by excrement measured by ultrasonic sensor, which is the difference between the water level in the trap before flushing and the reference water level; Wmax, Amax, and Hmax are the corresponding preset maximum values, and in this embodiment, Wmax=800g, Amax=400cm², and Hmax=150mm are preferred; α, β, and γ are preset weighting coefficients, and α+β+γ=1, and in this embodiment, α=0.3, β=0.5, and γ=0.2 are preferred. The control system 6 will calculate... The pollution index P is compared with multiple predetermined pollution level thresholds: when P < 0.2, it is judged as light pollution; when 0.2 ≤ P < 0.6, it is judged as moderate pollution; when 0.6 ≤ P < 0.9, it is judged as heavy pollution; and when P ≥ 0.9, it is judged as extreme pollution. Each pollution level corresponds to a set of grey water and clean water ratios: light pollution: grey water ratio 60%, clean water ratio 40%; moderate pollution: grey water ratio 80%, clean water ratio 20%; heavy pollution: grey water ratio 95%, clean water ratio 5%; extreme pollution: grey water ratio 0%, clean water ratio 100%, all using clean water.

[0066] Specifically disclosed, the control system 6 dynamically determines the water volume allocation between the grey water impact section and the clean water purification section as follows: First, the total water volume Vt for this flushing is determined based on the user's preset economic water-saving mode or deep cleaning mode; the water volume Vg of the grey water impact section is calculated by combining the baseline water volume Vb with the pollution index P. In this embodiment, the baseline water volume Vb = 3.0L, and the calculation formula is as follows:

[0067]

[0068] Where k1 is the adjustment coefficient, and in this embodiment, k1 is preferably 0.6; and Vg is limited between the preset minimum water volume and the maximum water volume. In this embodiment, the minimum water volume is preferably 1.5L and the maximum water volume is preferably 5.0L. The water volume Vc of the clean water section is obtained by subtracting the water volume of the grey water impact section from the total rinsing water volume: Vc = Vt - Vg, and is not lower than the preset minimum clean water volume. In this embodiment, the minimum clean water volume is preferably 0.3L. If the calculated result is lower than 0.3L, it is forcibly set to 0.3L and Vg is reduced accordingly.

[0069] It is particularly important to emphasize that the control system 6 determines whether to trigger supplementary flushing based on the following conditions: After a complete two-stage flush, the residual dirt area Ares is detected by the image sensor 32. If the residual dirt area is greater than a preset residual area threshold Ath, and simultaneously the liquid level drop rate vd in the drain pipe 2 is greater than a preset normal flow threshold (preferred in this embodiment as 1.5 cm / s), then it is determined to be localized residue in a non-blocked state, triggering supplementary flushing. The supplementary flushing water volume Vsup is calculated linearly based on the ratio of the residual dirt area to the residual area threshold. In this embodiment, the formula is:

[0070] Unit: L;

[0071] That is, the amount of water added increases linearly between 0.2L and 0.8L, and does not exceed the upper limit of 0.8L. The control system 6 controls the rotatable nozzle to accurately spray the residual area, rather than starting a full flush.

[0072] It is particularly important to emphasize that the conditions for the control system 6 to determine whether to trigger the pneumatic anti-blockage and unblocking module include: if, after the water purification section is completed, the liquid level in the drain pipe 2 is higher than the reference water level by more than a predetermined height threshold (preferably 50 mm in this embodiment) and the duration exceeds the first duration threshold (preferably 3 seconds in this embodiment); or the liquid level drop rate vd is lower than the preset blockage rate threshold (preferably 0.5 cm / s in this embodiment) and the duration exceeds the second duration threshold (preferably 5 seconds in this embodiment), when any of the above conditions are met, the control system 6 determines that the drain pipe 2 is blocked, triggers an early warning, and starts the pneumatic pulse unblocking module. The specific parameters of the pneumatic anti-blockage and unblocking module are as follows: the micro air pump 7 outputs compressed air, the preset upper limit of the air pressure is preferably 0.3MPa in this embodiment, the pulse frequency is preferably 1Hz in this embodiment, the on for 0.5 seconds and the off for 0.5 seconds, and the total number of pulses is preferably 5 in this embodiment; each pneumatic pulse simultaneously injects a predetermined amount of grey water as a lubricant, preferably 0.1L of grey water per pulse in this embodiment; after the unblocking action is completed, the liquid level drop rate is re-detected. If it still does not reach the normal range, that is, vd is still lower than 1.5cm / s, the unblocking process is repeated once. If it is still ineffective after repetition, a serious blockage alarm signal is issued.

[0073] Furthermore, the system also includes user-selectable operating modes, including at least an economical water-saving mode and a deep cleaning mode. The control system 6 loads the corresponding control parameter group according to the selected mode: In the economical water-saving mode, the total flushing water volume Vt is preferably 3.5L in this embodiment, the residual area threshold Ath is preferably 10cm² in this embodiment, the temperature of the clean water section is preferably 45℃ in this embodiment, the upper limit of the grey water ratio is 95%, the maximum supplementary flushing water volume is 0.6L, and the sensitivity threshold of the liquid level drop rate of the pneumatic anti-blocking and unblocking module is preferably 1.5cm / s in this embodiment; In the deep cleaning mode, the total flushing water volume Vt is preferably 6.0L in this embodiment, the residual area threshold Ath is preferably 3cm² in this embodiment, the temperature of the clean water section is preferably 65℃ in this embodiment, the upper limit of the grey water ratio is 80%, the maximum supplementary flushing water volume is 1.2L, and the sensitivity threshold of the liquid level drop rate of the pneumatic anti-blocking and unblocking module is preferably 2.5cm / s in this embodiment. After the user selects the mode through the panel or mobile application, the control system 6 immediately switches the threshold group.

[0074] The workflow of the present invention will be described in detail below with reference to specific embodiments:

[0075] Example 1: This example uses a case of mild contamination and no blockage as an example, combined with the attached... Figure 1 To be continued Figure 3 The workflow is explained in detail below:

[0076] After user use, weight sensor 31 detects the mass of excrement W=150g, image sensor 32 identifies the dirty area A=50cm², ultrasonic sensor measures the water level change H=20mm, and control system 6 calculates the pollution index.

[0077] P=0.3×(150 / 800)+0.5×(50 / 400)+0.2×(20 / 150)=0.1452;

[0078] Less than 0.2, judged as slightly polluted, user preset to economical water-saving mode, total water volume Vt=3.5L, grey water impact section water volume:

[0079] Vg=3.0×(1+0.6×(0.1452-0.5) / 0.5)=1.7226L;

[0080] The flow rate was within the limit. The water volume in the clean water section, Vc = 3.5 - 1.7226 = 1.7774L, was higher than 0.3L. The control system 6 drew 1.72L of grey water from the second grey water chamber 42 to perform a high-flow-rate impact section. After rinsing for 3 seconds, the instant heating module was activated to heat the clean water to 45℃. 1.78L of high-temperature clean water was then sprayed through the annular water distribution hole. After rinsing, the image sensor 32 detected a residual area of ​​Ares = 2cm², which was less than the economic mode threshold of 10cm². The ultrasonic sensor monitored the liquid level drop rate, vd = 3.2cm / s, which was greater than 1.5cm / s. The system determined that the rinsing was clean and there was no blockage, and the process ended.

[0081] Example 2: This example uses heavy pollution triggering supplementary flushing and pneumatic anti-clogging as an example, combined with the attached... Figure 1 To be continued Figure 5 The workflow is explained in detail below:

[0082] After the user used it, the weight was measured as W=650g, the soiled area was A=350cm², and the water level change was H=120mm. Calculation: P=0.3×650 / 800+0.5×350 / 400+0.2×120 / 150=0.84125;

[0083] It is classified as heavily polluted (0.6-0.9), and the user has preset the deep cleaning mode with a total water volume of 6.0L.

[0084] The volume of the grey water impact section is Vg = 3.0 × (1 + 0.6 × (0.84125 - 0.5) / 0.5) = 4.2285 L;

[0085] The concentration of Vc in the purified water section is 6.0 - 4.2285 = 1.7715 L.

[0086] The grey water used is the primary grey water in the first grey water chamber 41. The purified water is heated to 65℃. After the first flush, the image sensor 32 detects a residual area of ​​Ares = 25cm², which is greater than the depth mode threshold of 3cm², and the liquid level drop rate vd = 2.8cm / s, which is greater than 2.5cm / s, indicating no blockage. The control system 6 triggers a supplementary flush, and the supplementary water volume Vsup = 0.2 + 0.1 × (25 / 3) = 0.2 + 0.833 = 1.033L. However, this is limited by the depth mode... The maximum water replenishment capacity is 1.2L, and 1.033L is used. The rotatable nozzle locates the residual area based on the image and accurately sprays 1.03L of clean water. If the residual area is still greater than the threshold after replenishment, the system can repeat the replenishment once more, not exceeding the maximum number of times. If, during the flushing process, the liquid level remains 55mm above the baseline for 4 seconds after the clean water section ends, it is determined to be blocked, and the pneumatic pulse is activated: 0.3MPa, 1Hz for a total of 5 times, injecting 0.1L of grey water each time. After unblocking, the liquid level returns to normal, and the process ends.

[0087] Example 3: This example uses a scenario of extreme pollution where the user selects the economy mode and there is no congestion, combined with the attached... Figure 1 To be continued Figure 3 The workflow is explained in detail below:

[0088] After user testing, W=780g, A=390cm², H=145mm were measured. Calculations were then performed.

[0089] P=0.3×780 / 800+0.5×390 / 400+0.2×145 / 150=0.9733;

[0090] If the concentration is greater than 0.9, it is considered extreme pollution. According to the strategy, the proportion of grey water is 0%, and all water is purified. The total water volume in the economic mode is 3.5L, and all water is purified in the clean water section. The water is heated to 45℃ instantly. Since there is no grey water section, the control system 6 directly executes a single-stage purified water rinse with a rinsing volume of 3.5L. After the rinse is completed, the residual area Ares is detected to be 1cm², which is less than the economic mode threshold of 10cm², and the process ends.

[0091] Example 4: This example demonstrates how a user switches to deep clean mode to handle moderate contamination and showcases the grey water chamber selection logic, combined with the attached... Figure 1 To be continued Figure 6 The workflow is explained in detail below:

[0092] Users select the deep cleaning mode via a mobile app. Excrement detection: W=300g, A=180cm², H=60mm. Calculation:

[0093] P=0.3×300 / 800+0.5×180 / 400+0.2×60 / 150=0.4175;

[0094] It is classified as moderately polluted, with a total water volume of 6.0L in deep mode;

[0095] The volume of the grey water impact section is Vg = 3.0 × (1 + 0.6 × (0.4175 - 0.5) / 0.5) = 2.703 L;

[0096] The clean water section Vc=3.297L. The control system 6 prioritizes the use of grey water (stored laundry water, which is relatively clean) in the second grey water chamber 42 based on the medium pollution index. If the water volume in the second grey water chamber 42 is insufficient, the first grey water chamber 41 is activated. The clean water is heated to 65℃. After rinsing, the residual area Ares=5cm², which is greater than the depth mode threshold of 3cm², triggering a supplementary rinse.

[0097] The water replenishment volume Vsup = 0.2 + 0.1 × (5 / 3) = 0.2 + 0.1667 = 0.3667 L. The rotating nozzle is used for targeted rinsing, and the residual area is reduced to 0.5 cm², thus achieving the standard.

[0098] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A smart toilet water-saving system utilizing grey water in a cascade manner, characterized in that, include: bedpan(1); The sewage pipe (2) is connected to the toilet bowl (1); The sensor array (3) includes at least sensors for detecting the weight of excrement, the area of ​​soiling, and changes in water level; Grey water storage unit (4) includes at least one level of grey water storage chamber; Water purification unit (5) is used to provide clean water; A pneumatic anti-blocking and unblocking module is used to introduce compressed air into the toilet bowl (1) to prevent blockage; The control system (6) is connected to the sensor array (3), the grey water storage unit (4), and the water purification unit (5), and is configured as follows: The pollution index is calculated based on the detection signal from the sensor array (3); The ratio of the grey water impact section to the clean water section is dynamically determined based on the pollution index, and the grey water impact section rinsing and the clean water section rinsing are performed sequentially. During or after rinsing, the system determines whether to trigger supplementary rinsing or pneumatic anti-blocking and unblocking module based on the rate of drop in liquid level and the area of ​​residual dirt in the drain pipe (2). The pneumatic anti-blockage and unblocking module utilizes the combined action of compressed air pulses and ash water.

2. The intelligent toilet water-saving system utilizing grey water in a cascade manner according to claim 1, characterized in that, The sensor array (3) includes: A weight sensor (31) is installed at the bottom of the toilet bowl (1) or at the support structure to detect the mass of excrement; Image sensor (32), facing the bottom area of ​​the toilet bowl (1), is used to identify the shape of excrement and the area of ​​soiling; An ultrasonic water level sensor (33) is used to detect the water level and the rate of change of water level in the water trap of the toilet (1) or the drain pipe (2).

3. The intelligent toilet water-saving system utilizing grey water in a cascade manner according to claim 2, characterized in that, The control system (6) calculates the pollution index in the following way: Wherein, W is the value detected by the weight sensor (31), A is the value detected by the dirty area, and H is the change in water level; Wmax, Amax, and Hmax are the corresponding preset maximum values; α, β, and γ are preset weight coefficients, and α+β+γ=1.

4. The intelligent toilet water-saving system utilizing grey water in a cascade manner according to claim 3, characterized in that, The control system (6) dynamically determines the ratio of the grey water impact section to the clean water section in the following ways: The pollution index P is compared with multiple predetermined pollution level thresholds, and each pollution level corresponds to a set of grey water ratio and clean water ratio. The water volume in the grey water impact section is linearly adjusted based on the baseline water volume and the deviation of the pollution index P from the median value, and is limited to a preset minimum water volume and maximum water volume. The water volume of the clean water purification section is obtained by subtracting the water volume of the grey water impact section from the total rinsing water volume, and is not lower than the preset minimum clean water volume.

5. A smart toilet water-saving system utilizing grey water in a cascade manner according to claim 4, characterized in that, The system also includes user-selectable operating modes, which include at least an economical water-saving mode and a deep cleaning mode; the control system (6) loads the corresponding total flushing water volume, residual dirt area threshold, and temperature setting value of the clean water section according to the selected mode.

6. A smart toilet water-saving system utilizing grey water in a cascade manner according to claim 5, characterized in that, The conditions under which the control system (6) determines whether to trigger supplementary flushing include: After at least one rinse, the area of ​​residual dirt is detected by an image sensor (32); If the residual dirt area is greater than the preset residual area threshold, and at the same time the liquid level drop rate in the drain pipe (2) is greater than the preset normal flow threshold, it is determined to be a local residual in a non-blocked state, triggering supplementary flushing. The water consumption for supplementary flushing is less than the water consumption for full refluxing. The amount of water used for supplementary rinsing is calculated linearly based on the ratio of the residual dirt area to the residual area threshold, and does not exceed the preset upper limit of supplementary water volume.

7. A smart toilet water-saving system utilizing grey water in a cascade manner as described in claim 6, characterized in that, The conditions under which the control system (6) determines whether to trigger the pneumatic anti-blockage and unblocking module include: First condition: If the water purification section is completed, the liquid level in the sewage pipe (2) is higher than the reference water level and the duration exceeds the first time threshold. Second condition: The rate of liquid level drop is lower than the preset blockage rate threshold and the duration exceeds the second duration threshold; When any of the above conditions are met, the control system (6) determines that the sewage pipe (2) is blocked, triggers an early warning and starts pneumatic pulse unblocking.

8. A smart toilet water-saving system utilizing grey water in a cascade manner according to claim 7, characterized in that, The pneumatic anti-blockage and unblocking module includes: A miniature air pump (7) outputs compressed air with a preset upper limit of air pressure, which is intermittently sprayed into the drain port at a predetermined frequency and a predetermined number of pulses. Each pneumatic pulse simultaneously injects a predetermined amount of grey water as a lubricant; After the unblocking operation is completed, re-check the rate of liquid level drop. If it still does not reach the normal range, repeat the unblocking process. If it is still ineffective after repetition, issue a serious blockage alarm signal.

9. A smart toilet water-saving system utilizing grey water in a cascade manner according to claim 1, characterized in that, The grey water storage unit (4) includes multiple grey water storage chambers of different levels, namely the first grey water chamber (41), the second grey water chamber (42) and the third grey water chamber (43), which store grey water from different sources or with different treatment levels respectively; the control system (6) retrieves grey water from the corresponding level grey water chambers in sequence or preferentially for use in the grey water impact section according to the pollution index and the current operating mode.

10. A smart toilet water-saving system utilizing grey water in a cascade manner according to claim 1, characterized in that, The economic water-saving mode and the deep cleaning mode have different set values ​​for at least one of the following control parameters: total flushing water volume, residual dirt area threshold, clean water temperature, upper limit of gray water ratio, maximum water volume for supplementary flushing, and sensitivity threshold of liquid level drop rate of the pneumatic anti-blocking and unblocking module.

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