Water quality identification method, water purification device and control device
By applying voltage and current to the capacitive deionization filter cartridge and combining it with a water quality estimation model, the total dissolved solids (TDS) value of the water can be directly calculated. This solves the problems of complex structure and high cost of traditional capacitive deionization water purification systems, and achieves the effects of simplifying the system and reducing costs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- FOSHAN MIDEA CHUNGHO WATER PURIFICATION MFG
- Filing Date
- 2026-03-31
- Publication Date
- 2026-07-10
AI Technical Summary
Traditional capacitive deionization water purification systems are complex in structure and expensive, requiring an additional TDS water quality detection module, which increases the complexity of system design.
By applying a preset working voltage and current to the capacitive deionization filter element, the actual voltage and current at its two ends are obtained. The total dissolved solids (TDS) value of the water is directly calculated using a preset water quality estimation model, thereby achieving real-time and accurate water quality monitoring, simplifying the system structure and reducing hardware costs.
Real-time and accurate water quality monitoring was achieved without relying on an external TDS detection module, simplifying the system structure and reducing hardware costs and design complexity.
Smart Images

Figure CN122362979A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of water purification equipment technology, and in particular to a water quality identification method, water purification equipment and control device. Background Technology
[0002] As people's living standards continue to improve, their requirements for water quality are also increasing. Capacitive Deionization (CDI) technology, as a novel water treatment method, has attracted much attention because it can achieve different effluent water qualities under different voltages while retaining ions beneficial to the human body. However, traditional CDI water purification systems are complex in structure and expensive, requiring an additional TDS (Total Dissolved Solids) water quality detection module to monitor the effluent water quality, which increases the complexity of system design. Summary of the Invention
[0003] This invention provides a water quality identification method, water purification equipment, and control device to solve the problems of existing systems using capacitive deionization technology, which have complex structures, high costs, and require additional TDS water quality detection modules, thus increasing the complexity of system design.
[0004] The first aspect of this invention provides a water quality identification method, comprising the following steps.
[0005] The system controls the application of a preset operating voltage and a preset operating current to the capacitor deionization filter element, and obtains the actual voltage and actual current across the capacitor deionization filter element.
[0006] The actual voltage and the actual current are input into a preset water quality estimation model to determine the ion exchange capacity of a unit of electricity passing through the capacitor deionization filter, and then to determine the total amount of ions removed by the capacitor deionization filter in the current working cycle.
[0007] Based on preset standard water quality data, the water treatment volume in the current working cycle, and the total amount of ions removed, the water quality identification result of the effluent is determined, and the water quality identification result includes the total dissolved solids (TDS) value.
[0008] According to the water quality identification method provided by the present invention, the step of determining the water quality identification result of the effluent based on preset standard water quality data, water treatment volume in the current working cycle, and the total amount of ion removal includes the following steps.
[0009] Based on the preset standard water quality data and the water treatment volume in the current working cycle, the total amount of influent ions in the current working cycle is determined.
[0010] The total amount of ions in the effluent during the current working cycle is determined based on the difference between the total amount of ions entering the water and the total amount of ions removed.
[0011] The water quality identification result is determined based on the total amount of ions in the effluent.
[0012] The water quality identification method provided by the present invention further includes the following steps.
[0013] Based on the preset standard water quality data, the preset operating voltage and the preset operating current are determined.
[0014] The preset standard water quality data includes the reference value of total dissolved solids (TDS) in the influent, as well as the mapping relationship between the recommended preset operating voltage and the recommended preset operating current corresponding to different TDS value ranges.
[0015] The water quality identification method provided by the present invention further includes the following steps.
[0016] Obtain the inlet water temperature data of the capacitor deionization filter element.
[0017] Based on the inlet water temperature data, temperature compensation parameters are determined.
[0018] The water quality identification result is determined based on the temperature compensation parameters, the preset standard water quality data, the water treatment volume in the current working cycle, and the total amount of ions removed.
[0019] According to the water quality identification method provided by the present invention, determining the temperature compensation parameter based on the inlet water temperature data includes the following steps.
[0020] Based on the inlet water temperature data and the mapping relationship between the inlet water temperature data and the resistance of the capacitor deionization filter element, the current resistance data of the capacitor deionization filter element is determined.
[0021] Based on the current resistance data and the mapping relationship between the resistance of the capacitor deionization filter and the temperature compensation parameter, the temperature compensation parameter is determined.
[0022] According to the water quality identification method provided by the present invention, the step of applying a preset working voltage and a preset working current to the capacitive deionization filter element and obtaining the actual voltage and actual current at both ends of the capacitive deionization filter element includes the following steps.
[0023] Obtain the electrical state of the capacitor deionization filter element.
[0024] Based on the electrical stability of the capacitor deionization filter element, the step of obtaining the actual voltage and actual current at both ends of the capacitor deionization filter element is triggered.
[0025] According to the water quality identification method provided by the present invention, the capacitive deionization filter element is determined to have reached the electrical stable state based on the fact that the actual voltage change rate across the two ends of the capacitive deionization filter element is lower than a first preset change rate and the actual current change rate is lower than a second preset change rate.
[0026] According to the water quality identification method provided by the present invention, the water quality identification result further includes a water quality grade, which is determined based on the comparison result of the total dissolved solids (TDS) value of the effluent with the preset standard TDS value.
[0027] A second aspect of the present invention provides a water purification device, comprising: a capacitive deionization filter element, a constant current and constant voltage drive circuit, a signal acquisition circuit, and a main control device.
[0028] The constant current and constant voltage driving circuit is electrically connected to the capacitor deionization filter element and is used to apply a preset working voltage and a preset working current to the capacitor deionization filter element; the signal acquisition circuit is electrically connected to the capacitor deionization filter element and is used to acquire the actual voltage and actual current at both ends of the filter element; the main control device is communicatively connected to both the constant current and constant voltage driving circuit and the signal acquisition circuit and is configured to execute the water quality identification method described above.
[0029] A third aspect of the present invention provides a control device, comprising: a detection module, a processing module, and a judgment module.
[0030] The detection module is used to control the application of a preset working voltage and a preset working current to the capacitive deionization filter element, and to acquire the actual voltage and actual current across the capacitive deionization filter element. The processing module is used to input the actual voltage and actual current into a preset water quality estimation model to determine the ion exchange capacity per unit of electricity passing through the capacitive deionization filter element, and then to determine the total ion removal of the capacitive deionization filter element in the current working cycle. The judgment module is used to determine the water quality identification result of the effluent based on preset standard water quality data, the water treatment volume in the current working cycle, and the total ion removal. The water quality identification result includes the total dissolved solids (TDS) value.
[0031] A fourth aspect of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the water quality identification method as described above.
[0032] The fifth aspect of the present invention provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the water quality identification method as described above.
[0033] The water quality identification method provided by this invention uses a capacitive deionization filter cartridge as both a water treatment unit and a sensing unit. While applying a preset working voltage and current to the cartridge, it collects the actual voltage and current signals at both ends of the cartridge and directly calculates the total dissolved solids (TDS) value of the water using a preset water quality estimation model. This method enables real-time and accurate water quality monitoring without relying on an external TDS detection module. Furthermore, it significantly simplifies the system structure, reduces hardware costs and design complexity, and solves the problem of complex structure and high cost in existing capacitive deionization water purification systems that require an additional independent TDS detection module.
[0034] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description
[0035] To more clearly illustrate the technical solutions in this 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 some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.
[0036] Figure 1 This is a flowchart illustrating the water quality identification method provided in an embodiment of the present invention.
[0037] Figure 2 This is a schematic diagram of the control device provided in an embodiment of the present invention.
[0038] Figure 3 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention.
[0039] Figure label: 100. Control device; 110. Detection module; 120. Processing module; 130. Judgment module; 200. Electronic device; 210. Processor; 220. Communication interface; 230. Memory; 240. Communication bus. Detailed Implementation
[0040] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.
[0041] In the description of the embodiments of the present invention, it should be noted that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the embodiments of the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of the present invention. In addition, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.
[0042] In the description of the embodiments of the present invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "connected" and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in the embodiments of the present invention according to the specific circumstances.
[0043] In embodiments of the present invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "on top of," and "over" the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.
[0044] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.
[0045] The following is combined with Figure 1 and Figure 2 This invention describes the water quality identification method, water purification equipment, and control device provided by the present invention.
[0046] See Figure 1 As shown in the figure, the water quality identification method provided in this embodiment of the invention includes the following steps.
[0047] S110: Control the application of a preset working voltage and a preset working current to the capacitor deionization filter element, and obtain the actual voltage and actual current across the capacitor deionization filter element.
[0048] S120. Input the actual voltage and actual current into the preset water quality estimation model to determine the ion exchange capacity of a unit power through the capacitor deionization filter, and then determine the total amount of ions removed by the capacitor deionization filter in the current working cycle.
[0049] S130. Based on preset standard water quality data, water treatment volume and total ion removal in the current working cycle, determine the water quality identification result of the effluent. The water quality identification result includes the total dissolved solids (TDS) value.
[0050] The water quality identification method provided by this invention uses a capacitive deionization filter cartridge as both a water treatment unit and a sensing unit. While applying a preset working voltage and current to the cartridge, it collects the actual voltage and current signals at both ends of the cartridge and directly calculates the total dissolved solids (TDS) value of the water using a preset water quality estimation model. This method enables real-time and accurate water quality monitoring without relying on an external TDS detection module. Furthermore, it significantly simplifies the system structure, reduces hardware costs and design complexity, and solves the problem of complex structure and high cost in existing capacitive deionization water purification systems that require an additional independent TDS detection module.
[0051] It should be noted that, in the embodiments of the present invention, the executing entity of the water quality identification method can be the main control device in the water purification equipment, which includes a microprocessor, a memory, and related circuits. The memory may pre-store executable instructions, preset standard water quality data, water quality estimation models, and standard TDS values, etc.
[0052] When the main control device is running, the drive circuit can apply working voltage and current to the capacitor deionization filter element, and the actual voltage and current data at both ends of the filter element can be obtained through the acquisition circuit. Then, the water quality estimation model is called to perform calculations, and finally the TDS value of the effluent is estimated and identified. The results can be selected for display or equipment control.
[0053] Specifically, in step S110, a constant current and constant voltage drive circuit can be used. Under the control of the main control device, this circuit outputs a preset working voltage and a preset working current to the two poles of the capacitor deionization filter. At the same time, a high-precision current sampling circuit and voltage sampling circuit can be used to measure and feed back the actual current flowing through the capacitor deionization filter and the actual voltage across its terminals in real time. These real-time collected electrical parameters reflect the dynamic load characteristics of the filter under the current water quality and can provide accurate input data for subsequent model calculations.
[0054] In step S120, the preset water quality estimation model is established based on the electrochemical principle of the capacitive deionization process. It can calculate the total amount of electricity passing through the capacitive deionization filter by integrating the change of actual current over time. Using the mapping relationship between the total amount of electricity and the actual voltage (and parameters such as water temperature below), the ion exchange capacity corresponding to the amount of electricity is calculated. This capacity represents the total mass of ions removed from the water by the capacitive deionization filter in the current working cycle, thereby realizing the key conversion of electrical measurement into water purification effect.
[0055] In step S130, the preset standard water quality data includes the initial influent TDS baseline value. Combined with the current water treatment volume estimated by the flow meter or timer and the rated flow rate, the expected total influent ions in the current working cycle can be calculated. By subtracting the total ion removal volume calculated by the preset water quality estimation model from the expected total influent ions, the remaining total ions in the current effluent can be obtained. Dividing this by the water treatment volume gives the TDS concentration value of the effluent, thus completing the quantitative identification from ion removal effect to specific water quality indicators.
[0056] The preset standard water quality data can be initially set by calibrating typical water sources experimentally and storing the obtained parameters in the device's memory. This data includes at least representative total dissolved solids (TDS) baseline values for influent water, as well as a recommended parameter mapping table for operating voltage and current optimized for different water quality conditions. Furthermore, during actual use of the water purification equipment, the preset standard water quality data can be dynamically corrected through manual user calibration or by the system's self-learning and adaptive update mechanism based on long-term operating data, thereby improving adaptability and identification accuracy for water sources in different regions.
[0057] The water treatment volume during the current working cycle can be obtained by real-time measurement and accumulation using detection components such as flow sensors installed in the water purification equipment. Alternatively, if the system design does not include a dedicated flow meter, the volume can be estimated by recording the continuous running time of the current working cycle and based on the system's preset rated flow rate. It is understood that this estimation method relies on the filter element's relatively stable flow rate under constant operating mode, thus providing the necessary water volume parameters for water quality identification and calculation.
[0058] According to some embodiments of the present invention, the water quality identification result of the effluent is determined based on preset standard water quality data, water treatment volume and total ion removal in the current working cycle, specifically including the following steps.
[0059] Based on preset standard water quality data and the water treatment volume in the current working cycle, determine the total amount of influent ions in the current working cycle.
[0060] The total amount of ions in the effluent during the current working cycle is determined based on the difference between the total amount of ions entering the water and the total amount of ions removed.
[0061] The water quality identification result is determined based on the total amount of ions in the effluent.
[0062] Through the above steps, firstly, the total amount of ions entering the filter cartridge is calculated using a preset initial influent TDS baseline value and the measured water treatment volume. This total amount of influent ions forms the initial baseline for the calculation. Then, by subtracting the total amount of ions actually removed by the filter cartridge during that cycle from the total influent ion amount, the total amount of residual ions in the treated water, i.e., the total amount of ions in the effluent, can be accurately obtained. Finally, based on this total amount of effluent ions, the water quality identification result expressed in concentration can be directly calculated. The above calculation process strictly follows the principle of conservation of mass, ensuring that the derivation logic from the filter cartridge's operating parameters to the final effluent water quality indicators is rigorous and the results are reliable, possessing high identification accuracy.
[0063] According to some embodiments of the present invention, the water quality identification method further includes the following step (which can be one of the steps for initializing system configuration).
[0064] Based on preset standard water quality data, the preset operating voltage and preset operating current are determined.
[0065] The preset standard water quality data includes the reference value of total dissolved solids (TDS) in the influent, as well as the mapping relationship between the recommended preset operating voltage and the recommended preset operating current corresponding to different TDS value ranges.
[0066] Through the above steps, the system can intelligently set the optimal operating parameters of the capacitive deionization filter cartridge based on preset standard water quality data at startup or the beginning of each working cycle. This allows the capacitive deionization filter cartridge to operate under voltage and current conditions most suitable for the current estimated water quality. This not only improves its ion adsorption and removal efficiency but also ensures that the filter cartridge's operating point is always within the optimal accuracy range specified by the preset water quality estimation model. This provides a stable and reliable electrical operating benchmark for subsequent accurate water quality estimation, effectively enhancing the adaptability and accuracy of the entire water quality identification method. Specifically, the system first calls the TDS baseline value of the incoming water stored in the memory as an initial judgment of the current water quality. Then, it queries the recommended operating voltage and current mapping relationship corresponding to the range of the TDS value and sets the output of the drive circuit accordingly. This process allows the electrical excitation applied to the filter cartridge to adaptively match the estimated water quality conditions, thereby optimizing the ion removal efficiency of the filter cartridge and providing a stable and suitable operating baseline for subsequent water quality estimation based on a fixed electrical model, which is beneficial to improving the overall identification accuracy and system performance.
[0067] According to some embodiments of the present invention, the water quality identification method further includes the following step (which can be one of the steps for initializing system configuration).
[0068] Obtain the inlet water temperature data of the capacitor deionization filter cartridge.
[0069] Based on the inlet water temperature data, temperature compensation parameters are determined.
[0070] Based on temperature compensation parameters, preset standard water quality data, water treatment volume and total ion removal within the current working cycle, the water quality identification result is determined.
[0071] By introducing a temperature compensation step, the systematic bias caused by water temperature changes in the water quality identification process can be effectively corrected, thereby further improving the identification accuracy.
[0072] Specifically, temperature not only affects the conductivity of water, but also causes changes in the micropore size of the internal electrode structure of the capacitive deionization filter element due to the thermal expansion and contraction effect of the material. This directly changes the overall resistance value and ion exchange kinetics of the filter element, causing the voltage and current signals measured under the same water quality to drift with temperature. By acquiring the inlet water temperature and determining the corresponding temperature compensation parameters, the system can dynamically correct the original acquired signals or model calculation results, eliminate or reduce temperature interference, and ensure that the final water quality identification results remain accurate and reliable under different ambient temperatures.
[0073] According to some embodiments of the present invention, temperature compensation parameters are determined based on inlet water temperature data, specifically including the following steps.
[0074] Based on the inlet water temperature data and the mapping relationship between the inlet water temperature data and the resistance of the capacitor deionization filter element, the current resistance data of the capacitor deionization filter element is determined.
[0075] Based on the current resistance data and the mapping relationship between the resistance of the capacitor deionization filter and the temperature compensation parameters, the temperature compensation parameters are determined.
[0076] Through the above steps, the system achieves refined modeling and compensation for the effects of temperature.
[0077] Specifically, firstly, based on the measured inlet water temperature data, the pre-stored mapping relationship between inlet water temperature and capacitive deionization filter element resistance is queried to determine the real-time resistance data of the filter element at the current temperature. Then, based on this current resistance data, the pre-stored mapping relationship between filter element resistance and temperature compensation parameters is queried again to finally obtain the temperature compensation parameters applicable to the current operating conditions. This process fully considers the impact of temperature changes on the core physical structure of the capacitive deionization filter element; that is, the micropore size of the filter element electrodes changes with temperature rises and falls, directly manifesting as a change in its equivalent resistance. By establishing a two-level correlation mapping between temperature, resistance, and compensation coefficient, the essence of temperature interference can be more accurately characterized and targeted corrections can be made, thereby significantly improving the stability of the water quality estimation model and the accuracy of the output results under varying temperature environments.
[0078] According to some embodiments of the present invention, a preset operating voltage and a preset operating current are applied to the capacitor deionization filter element, and the actual voltage and actual current at both ends of the capacitor deionization filter element are obtained. Specifically, the following steps are included (this step can be one of the steps for initializing system configuration).
[0079] Obtain the electrical status of the capacitor deionization filter element.
[0080] Once the capacitor deionization filter reaches an electrically stable state, the step of obtaining the actual voltage and current across the capacitor deionization filter is triggered.
[0081] By adding a judgment and triggering mechanism for electrical stability, it is possible to ensure that the water quality identification measurement process begins with a consistent and repeatable electrical initial condition. This effectively filters out the voltage and current transient fluctuations caused by the double-layer charging and discharging process after the capacitive deion filter cartridge is powered on, switched working modes, or flushed and regenerated. This allows the system to automatically identify and wait for the internal electrochemical state of the filter cartridge to reach equilibrium, avoiding measurement deviations that may be caused by data collection during unstable phases. This provides a stable and reliable electrical signal input benchmark for subsequent water quality estimation based on a fixed model.
[0082] Specifically, in practical applications, after rinsing, mode switching, or power fluctuations, the double-layer structure of the capacitive deionization filter cartridge requires a certain amount of time to re-establish equilibrium. This manifests as a transient process where the voltage and current across the electrodes gradually decay and stabilize. Collecting data during this unstable phase directly introduces noise and errors, affecting the accuracy of the water quality estimation model. Therefore, the system monitors the filter cartridge's electrical state in real time (e.g., monitoring the rate of change of voltage and current), triggering subsequent voltage and current data acquisition and water quality identification processes only after confirming that it has reached a preset electrical stable state. This effectively filters out transient interference during startup, ensuring that each water quality identification is performed under the same steady-state benchmark, significantly improving the repeatability and long-term reliability of the detection results.
[0083] According to some embodiments of the present invention, the capacitor deionization filter element is determined to have reached an electrically stable state based on the fact that the actual voltage change rate across the capacitor deionization filter element is lower than a first preset change rate and the actual current change rate is lower than a second preset change rate.
[0084] By setting dual criteria of voltage and current change rate, an objective and quantitative standard for determining electrical stability can be provided. This method monitors the instantaneous changes in voltage and current across the filter element in real time. Only when both the voltage change amplitude and the current change amplitude tend to level off (i.e., its rate of change is lower than the first preset rate of change) and the current change amplitude tend to level off (i.e., its rate of change is lower than the second preset rate of change) are met, does the system determine that the filter element has entered the steady-state operating range from the dynamic transition process.
[0085] The above-mentioned determination method based on the rate of change of two parameters is more accurate and reliable than the determination based on a single parameter or fixed delay. It can sensitively capture the fact that the charge distribution inside the filter element tends to be balanced, ensuring that the system only triggers subsequent sampling and identification after the electrical signal is truly stable. This further improves the controllability and consistency of the initial conditions for water quality detection, and enhances the anti-interference ability and measurement accuracy of the entire method.
[0086] The first preset rate of change can be confirmed through experimental testing of the capacitive deionization filter element under standard operating conditions during the research and development phase. For example, under constant standard water quality and temperature conditions, the voltage change curve across the filter element over time is monitored after startup or flushing. By analyzing this curve, the range of the rate of change corresponding to the voltage entering a stable phase is determined. The upper limit of this range or a safety value adjusted with engineering margin is set as the first preset rate of change, and it is stored in the equipment's control program as a quantitative benchmark for judging whether the voltage has reached stability.
[0087] Similarly, the second preset rate of change can be obtained through the same experimental calibration method used to determine the first preset threshold. That is, under standard operating conditions, the change curve of the working current of the deionized filter element over time is monitored after startup or flushing. By analyzing the curve, the range of the rate of change corresponding to the current entering a stable stage is determined, and the upper limit of this range or a safety value adjusted by engineering margin is set as the second preset rate of change. It is also pre-stored in the equipment control program as a quantitative benchmark for judging whether the current has reached stability. Thus, together with the first preset rate of change, it constitutes a complete and objective dual criterion for judging the electrical stability state.
[0088] According to some embodiments of the present invention, the water quality identification result also includes a water quality grade, which is determined based on a comparison between the total dissolved solids (TDS) value of the effluent and a preset standard TDS value.
[0089] By adding result output and interpretation steps, the water quality identification method can transform the precise TDS values calculated internally into qualitative conclusions that are intuitive and easy for users to understand, or that can be directly used by the equipment control system. The system compares the real-time estimated effluent TDS value with one or more preset TDS thresholds representing different water quality levels (such as "excellent", "good", "qualified", etc.), and automatically determines and outputs the corresponding water quality level information based on the threshold range it falls into. This achieves the transformation from complex data to clear semantics, allowing users to quickly grasp the water quality status without understanding the specific TDS values.
[0090] In some embodiments, the water quality grade signal of the quality judgment result can also directly drive the subsequent behavior of the device, such as triggering the display of indicator lights of different colors, starting filter replacement reminders, or adjusting the working mode, in order to improve the end-user experience of the water quality identification method and the overall system intelligence level.
[0091] The water purification device provided by the present invention will be described below. The water purification device described below can be referred to in correspondence with the water quality identification method described above.
[0092] The water purification device provided in this embodiment of the invention includes: a capacitive deionization filter element, a constant current and constant voltage drive circuit, a signal acquisition circuit, and a main control device.
[0093] The constant current and constant voltage drive circuit is electrically connected to the capacitor deionization filter element and is used to apply a preset working voltage and a preset working current to the capacitor deionization filter element; the signal acquisition circuit is electrically connected to the capacitor deionization filter element and is used to acquire the actual voltage and actual current at both ends of the filter element; the main control device is communicatively connected to both the constant current and constant voltage drive circuit and the signal acquisition circuit, and is configured to execute the water quality identification method as described in any of the above embodiments.
[0094] The water purification device provided by this invention, since the main control device is communicatively connected to the constant current and constant voltage drive circuit and the signal acquisition circuit, and is configured to execute the water quality identification method as described in any of the previous embodiments, can also estimate and output the total dissolved solids (TDS) value or related water quality judgment results of the effluent in real time and accurately, without relying on an external TDS water quality detection module, solely through the changes in the electrical signal generated by the capacitive deionization filter itself during operation. This simplifies the hardware structure, reduces system costs, improves detection accuracy, and enhances the level of intelligence, thereby effectively solving the complexity and high cost problems caused by the need to set up an additional independent detection module in traditional capacitive deionization water purification systems.
[0095] See Figure 2 As shown, the control device 100 provided in this embodiment of the invention includes: a detection module 110, a processing module 120, and a judgment module 130.
[0096] The detection module 110 is used to control the application of a preset working voltage and a preset working current to the capacitive deionization filter element, and to acquire the actual voltage and actual current across the capacitive deionization filter element; the processing module 120 is used to input the actual voltage and actual current into a preset water quality estimation model to determine the ion exchange capacity per unit of electricity passing through the capacitive deionization filter element, and then to determine the total ion removal of the capacitive deionization filter element in the current working cycle; the judgment module 130 is used to determine the water quality identification result of the effluent based on preset standard water quality data, the water treatment volume in the current working cycle and the total ion removal, and the water quality identification result includes the total dissolved solids (TDS) value.
[0097] Figure 3 An example is a schematic diagram of the physical structure of an electronic device 200, such as... Figure 3 As shown, the electronic device 200 may include a processor 210, a communications interface 220, a memory 230, and a communication bus 240. The processor 210, communications interface 220, and memory 230 communicate with each other via the communication bus 240. The processor 210 can call logical instructions from the memory 230 to execute a water quality identification method, which includes the following steps.
[0098] S110: Control the application of a preset working voltage and a preset working current to the capacitor deionization filter element, and obtain the actual voltage and actual current across the capacitor deionization filter element.
[0099] S120. Input the actual voltage and actual current into the preset water quality estimation model to determine the ion exchange capacity of a unit power through the capacitor deionization filter, and then determine the total amount of ions removed by the capacitor deionization filter in the current working cycle.
[0100] S130. Based on preset standard water quality data, water treatment volume and total ion removal in the current working cycle, determine the water quality identification result of the effluent. The water quality identification result includes the total dissolved solids (TDS) value.
[0101] Furthermore, the logical instructions in the aforementioned memory 230 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0102] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute the water quality identification method provided by the above methods, which includes the following steps.
[0103] S110: Control the application of a preset working voltage and a preset working current to the capacitor deionization filter element, and obtain the actual voltage and actual current across the capacitor deionization filter element.
[0104] S120. Input the actual voltage and actual current into the preset water quality estimation model to determine the ion exchange capacity of a unit power through the capacitor deionization filter, and then determine the total amount of ions removed by the capacitor deionization filter in the current working cycle.
[0105] S130. Based on preset standard water quality data, water treatment volume and total ion removal in the current working cycle, determine the water quality identification result of the effluent. The water quality identification result includes the total dissolved solids (TDS) value.
[0106] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the water quality identification methods provided by the above methods, the method comprising the following steps.
[0107] S110: Control the application of a preset working voltage and a preset working current to the capacitor deionization filter element, and obtain the actual voltage and actual current across the capacitor deionization filter element.
[0108] S120. Input the actual voltage and actual current into the preset water quality estimation model to determine the ion exchange capacity of a unit power through the capacitor deionization filter, and then determine the total amount of ions removed by the capacitor deionization filter in the current working cycle.
[0109] S130. Based on preset standard water quality data, water treatment volume and total ion removal in the current working cycle, determine the water quality identification result of the effluent. The water quality identification result includes the total dissolved solids (TDS) value.
[0110] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.
[0111] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.
[0112] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A water quality identification method, characterized in that, include: The system controls the application of a preset operating voltage and a preset operating current to the capacitor deionization filter element, and obtains the actual voltage and actual current across the capacitor deionization filter element. The actual voltage and the actual current are input into a preset water quality estimation model to determine the ion exchange capacity of a unit of electricity passing through the capacitor deionization filter, and then to determine the total amount of ions removed by the capacitor deionization filter in the current working cycle. Based on preset standard water quality data, the water treatment volume in the current working cycle, and the total amount of ions removed, the water quality identification result of the effluent is determined, and the water quality identification result includes the total dissolved solids (TDS) value.
2. The water quality identification method according to claim 1, characterized in that, The determination of the effluent water quality identification result based on preset standard water quality data, the water treatment volume in the current working cycle, and the total ion removal includes: Based on the preset standard water quality data and the water treatment volume in the current working cycle, determine the total amount of influent ions in the current working cycle; The total amount of ions in the effluent during the current working cycle is determined based on the difference between the total amount of ions entering the water and the total amount of ions removed. The water quality identification result is determined based on the total amount of ions in the effluent.
3. The water quality identification method according to claim 1, characterized in that, Also includes: Based on the preset standard water quality data, the preset operating voltage and the preset operating current are determined; The preset standard water quality data includes the reference value of total dissolved solids (TDS) in the influent, as well as the mapping relationship between the recommended preset operating voltage and the recommended preset operating current corresponding to different TDS value ranges.
4. The water quality identification method according to claim 1, characterized in that, Also includes: Obtain the inlet water temperature data of the capacitor deionization filter element; Based on the inlet water temperature data, the temperature compensation parameters are determined; The water quality identification result is determined based on the temperature compensation parameters, the preset standard water quality data, the water treatment volume in the current working cycle, and the total amount of ions removed.
5. The water quality identification method according to claim 4, characterized in that, The step of determining the temperature compensation parameters based on the inlet water temperature data includes: Based on the inlet water temperature data and the mapping relationship between the inlet water temperature data and the resistance of the capacitor deionization filter element, the current resistance data of the capacitor deionization filter element is determined. Based on the current resistance data and the mapping relationship between the resistance of the capacitor deionization filter and the temperature compensation parameter, the temperature compensation parameter is determined.
6. The water quality identification method according to claim 1, characterized in that, The process of applying a preset operating voltage and a preset operating current to the capacitive deionization filter element and obtaining the actual voltage and actual current across the capacitive deionization filter element includes: Obtain the electrical state of the capacitor deionization filter element; Based on the electrical stability of the capacitor deionization filter element, the step of obtaining the actual voltage and actual current at both ends of the capacitor deionization filter element is triggered.
7. The water quality identification method according to claim 6, characterized in that, Based on the fact that the actual voltage change rate across the capacitor deionization filter is lower than the first preset change rate and the actual current change rate is lower than the second preset change rate, it is determined that the capacitor deionization filter has reached the electrical stable state.
8. The water quality identification method according to any one of claims 1 to 7, characterized in that, The water quality identification result also includes the water quality grade, which is determined based on the comparison between the total dissolved solids (TDS) value of the effluent and the preset standard TDS value.
9. A water purification device, characterized in that, include: Capacitor deionization filter element; A constant current and constant voltage driving circuit is electrically connected to the capacitor deionization filter element and is used to apply a preset working voltage and a preset working current to the capacitor deionization filter element. A signal acquisition circuit is electrically connected to the capacitor deionization filter element and is used to acquire the actual voltage and actual current at both ends of the filter element. The main control device is communicatively connected to both the constant current and constant voltage drive circuit and the signal acquisition circuit, and is configured to execute the water quality identification method as described in any one of claims 1 to 8.
10. A control device, characterized in that, include: The detection module is used to control the application of a preset working voltage and a preset working current to the capacitor deionization filter element, and to obtain the actual voltage and actual current across the capacitor deionization filter element. The processing module is used to input the actual voltage and the actual current into a preset water quality estimation model to determine the ion exchange capacity of a unit power through the capacitor deionization filter, and then determine the total amount of ions removed by the capacitor deionization filter in the current working cycle. The judgment module is used to determine the water quality identification result of the effluent based on preset standard water quality data, water treatment volume in the current working cycle and the total amount of ions removed. The water quality identification result includes the total dissolved solids (TDS) value.
11. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the water quality identification method as described in any one of claims 1 to 8.
12. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the water quality identification method as described in any one of claims 1 to 8.