Pollution discharge method and device of energy-saving water purification equipment

Abstract

The invention discloses a pollution discharge method and device for energy-saving water purification equipment, and relates to the related field of water treatment process monitoring, and the method comprises the following steps: obtaining water quality parameters of a water inlet and a water outlet of the water purification equipment; uploading the operation state of the water purification equipment, and configuring a filter element blockage unit vector and a fluid resistance unit vector; determining a pollution discharge trigger threshold value according to turbidity, COD value and ammonia nitrogen content data in the water quality parameters in combination with the filter element blockage unit vector and the equipment residual treatment capacity; making a start decision of a pollution discharge program, controlling a pollution discharge valve to be opened according to the fluid resistance unit vector, and adjusting the pollution discharge rate; and according to the change of the water quality parameters, configuring a stepped pollution discharge strategy comprising small-flow flushing duration, main pollution discharge flow and interval period, comparing the stepped pollution discharge strategy with the energy-saving pollution discharge amount to determine the water-saving rate, and performing optimization iteration according to the water-saving rate. The technical problem that existing energy-saving water purification equipment is inaccurate in pollution discharge control is solved, and the technical effect of accurately controlling pollution discharge is achieved.

Description

Technical Field

[0001] This application relates to the field of water treatment process monitoring, and in particular to a method and apparatus for discharging wastewater from an energy-saving water purification device. Background Technology

[0002] During the operation of water purification equipment, proper control of wastewater discharge to maintain equipment performance and achieve water and energy conservation is crucial for ensuring water quality safety, reducing operating costs, and promoting environmentally friendly and sustainable development. Currently, the main methods for addressing this issue are fixed discharge cycles or simply setting a discharge threshold based on a single water quality parameter (such as turbidity) to initiate the discharge process. However, these current methods, relying solely on a single parameter or fixed cycle, fail to comprehensively consider the various dynamic factors involved in the actual operation of the water purification equipment. This leads to deviations in the timing of wastewater discharge triggering; either premature discharge wastes water resources, or delayed discharge affects the equipment's treatment efficiency and filter lifespan.

[0003] Currently, energy-saving water purification equipment suffers from inaccurate sewage control. Summary of the Invention

[0004] This application provides a method and apparatus for discharging wastewater from an energy-saving water purification device. It collects water quality parameters such as turbidity, COD, and ammonia nitrogen from the inlet / outlet of the water purification device, simultaneously uploads the device's operating status, and configures filter clogging and fluid resistance unit vectors. Based on the water quality data, combined with the degree of filter clogging and remaining treatment capacity, it dynamically calculates the wastewater discharge trigger threshold. When the conditions are met, it adjusts the opening of the wastewater discharge valve according to the fluid resistance vector, executing a stepped wastewater discharge strategy comprising three stages: low-flow flushing, main discharge, and interval cycle. By comparing the water-saving rate with the energy-saving benchmark, it optimizes the threshold calculation parameters, forming a closed-loop control system. These technical means solve the technical problem of inaccurate wastewater discharge control in existing energy-saving water purification devices, achieving precise wastewater discharge control.

[0005] This application provides a method for discharging wastewater from an energy-saving water purification device, comprising: acquiring water quality parameters of the inlet and outlet of the water purification device; uploading the operating status of the water purification device, configuring a filter cartridge clogging unit vector associated with the filter cartridge operating pressure, and a fluid resistance unit vector associated with the product water flow rate; determining a wastewater discharge trigger threshold based on the turbidity, COD value, and ammonia nitrogen content data in the water quality parameters, combined with the filter cartridge clogging unit vector and the remaining processing capacity of the device; making a decision to start the wastewater discharge procedure based on the wastewater discharge trigger threshold, and if the start decision is successful, controlling the wastewater discharge valve to open and adjusting the wastewater discharge rate according to the fluid resistance unit vector; simultaneously, configuring a stepped wastewater discharge strategy including a small flow flushing duration, a main wastewater discharge flow rate, and an interval period based on changes in the water quality parameters, comparing it with the energy-saving wastewater discharge volume to determine the water-saving rate, and performing optimization iteration based on the water-saving rate.

[0006] In a possible implementation, the discharge trigger threshold is determined by combining the filter element clogging unit vector and the remaining processing capacity of the equipment, and the following processing is also performed: the modulus of the filter element clogging unit vector is standardized to the [0, 1] interval, and a clogging coefficient is set; the normalized value of the remaining processing capacity of the equipment is determined according to the rated total capacity of the water purification equipment; and the discharge trigger threshold is determined according to the clogging coefficient and the normalized value of the remaining processing capacity of the equipment.

[0007] In a possible implementation, the following processing is also performed: using the cumulative treated water volume as the independent variable, the filter cartridge retention efficiency decay coefficient is determined; based on the filter cartridge retention efficiency decay coefficient and combined with the influent water quality fluctuation coefficient, the sewage discharge trigger threshold is synchronously corrected.

[0008] In a possible implementation, a filter cartridge clogging unit vector associated with the filter cartridge operating pressure is configured, and the following processing is performed: pipe friction loss data are collected under different product water flow rates, and a flow-resistance characteristic curve is established; the flow-resistance characteristic curve is discretized into M feature points to generate a fluid resistance unit vector including pipe resistance components, filter cartridge resistance components, and valve resistance components, where M is greater than or equal to 5; based on the fluid resistance unit vector, the filter cartridge clogging unit vector associated with the filter cartridge operating pressure is determined.

[0009] In a possible implementation, the drain valve is opened and the drain rate is adjusted according to the fluid resistance unit vector, and the following processing is performed: the valve resistance component of the fluid resistance unit vector is mapped to the initial opening degree of the drain valve; based on the initial opening degree of the drain valve, fuzzy PID control is used, with the turbidity difference between the outlet and the inlet as the feedback quantity, to dynamically adjust the drain rate.

[0010] In a possible implementation, the sewage discharge rate is dynamically adjusted using the turbidity difference between the outlet and the inlet as a feedback value. The following processing is also performed: a rate protection mechanism is set up, and when the pipeline pressure is detected to be lower than the critical value, the sewage discharge rate is reduced and pressure recovery monitoring is initiated; if the pressure does not recover within a preset time node, the current filter element blockage unit vector and the current fluid resistance unit vector are marked, and adaptive correction is performed.

[0011] In a possible implementation, the current filter cartridge clogging unit vector and the current fluid resistance unit vector are marked, and adaptive corrections are performed by executing the following process: extracting the proportion of the filter cartridge resistance component in the marked fluid resistance unit vector and comparing it with the threshold range of the proportion of the filter cartridge resistance component when the water purification equipment is operating normally; if the proportion of the filter cartridge resistance component in the marked fluid resistance unit vector exceeds the threshold range of the proportion of the filter cartridge resistance component, the inlet flow rate of the water inlet is reduced according to the filter cartridge load.

[0012] In a possible implementation, a stepped sewage discharge strategy is configured, including a low-flow flushing duration, a main sewage discharge flow rate, and an interval period. The following processing is performed: the low-flow flushing duration of the stepped sewage discharge strategy is dynamically set according to the COD value of the inlet; the interval period of the stepped sewage discharge strategy is adaptively adjusted based on the average water production; the main sewage discharge flow rate of the stepped sewage discharge strategy is obtained by multiplying the magnitude of the unit vector of fluid resistance with the rated sewage discharge flow rate.

[0013] In a possible implementation, the water-saving rate is determined by comparing the energy-saving sewage discharge with the energy-saving sewage discharge volume. The water-saving rate is then used for optimization iteration, and the following processing is performed: the energy-saving sewage discharge volume is obtained by weighted averaging based on the historical best sewage discharge data; the water-saving rate is the percentage of the difference between the energy-saving sewage discharge volume and the actual sewage discharge volume; and the low-flow flushing time, main sewage discharge flow rate, and interval period are iteratively optimized with the water-saving rate maximization as the objective function.

[0014] This application also provides a wastewater discharge device for an energy-saving water purification equipment, comprising: a water quality parameter acquisition module for acquiring water quality parameters at the inlet and outlet of the water purification equipment; a unit vector configuration module for uploading the operating status of the water purification equipment and configuring a filter element blockage unit vector associated with the filter element operating pressure and a fluid resistance unit vector associated with the product water flow rate; a wastewater discharge trigger threshold determination module for determining a wastewater discharge trigger threshold based on the turbidity, COD value, and ammonia nitrogen content data in the water quality parameters, combined with the filter element blockage unit vector and the remaining processing capacity of the equipment; a wastewater discharge control module for making a wastewater discharge program start decision based on the wastewater discharge trigger threshold, and if the start decision is successful, controlling the wastewater discharge valve to open and adjusting the wastewater discharge rate based on the fluid resistance unit vector; and an optimization iteration module for configuring a stepped wastewater discharge strategy including small flow flushing time, main wastewater discharge flow rate, and interval period based on changes in the water quality parameters, comparing it with the energy-saving wastewater discharge volume to determine the water-saving rate, and performing optimization iteration based on the water-saving rate.

[0015] This application proposes a wastewater discharge method and apparatus for an energy-saving water purification device. First, water quality parameters at the inlet and outlet of the water purification device are acquired. Then, the operating status of the water purification device is uploaded. A filter cartridge clogging unit vector associated with the filter cartridge operating pressure and a fluid resistance unit vector associated with the product water flow rate are configured. Next, based on the turbidity, COD value, and ammonia nitrogen content data in the water quality parameters, combined with the filter cartridge clogging unit vector and the remaining processing capacity of the device, a wastewater discharge trigger threshold is determined. Then, based on the wastewater discharge trigger threshold, a wastewater discharge program initiation decision is made. If the initiation decision is successful, the wastewater discharge valve is controlled to open and the wastewater discharge rate is adjusted according to the fluid resistance unit vector. Finally, based on changes in the water quality parameters, a stepped wastewater discharge strategy including low-flow flushing time, main wastewater discharge flow rate, and interval period is configured. This strategy is compared with the energy-saving wastewater discharge volume to determine the water-saving rate, and then optimized iteratively based on the water-saving rate. This achieves the technical effect of precise wastewater discharge control. Attached Figure Description

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings of the embodiments of the present invention will be briefly described below. Flowcharts are used in this application to illustrate the operations performed by the apparatus according to the embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed precisely in sequence. Instead, various steps can be processed in reverse order or simultaneously as needed. Furthermore, other operations can be added to these processes, or one or more steps can be removed from these processes.

[0017] Figure 1 This is a schematic flowchart illustrating a wastewater discharge method for an energy-saving water purification device provided in an embodiment of this application.

[0018] Figure 2 This is a schematic diagram of the sewage discharge device of an energy-saving water purification equipment provided in an embodiment of this application.

[0019] Figure labeling: Water quality parameter acquisition module 10, unit vector configuration module 20, sewage discharge trigger threshold determination module 30, sewage discharge control module 40, optimization iteration module 50. Detailed Implementation

[0020] The above description is merely an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, specific embodiments of this application are given below.

[0021] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description of this application will be provided in conjunction with the accompanying drawings. The described embodiments should not be considered as limitations on this application. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] In the following description, references to "some embodiments" describe a subset of all possible embodiments; however, it is understood that "some embodiments" may be the same or different subsets of all possible embodiments and may be combined with each other without conflict. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of this application only.

[0023] This application provides a method for discharging wastewater from an energy-saving water purification device, such as... Figure 1 As shown, the method includes:

[0024] Step S100: Obtain the water quality parameters of the water inlet and outlet of the water purification equipment.

[0025] Specifically, appropriate turbidity sensors, COD (Chemical Oxygen Demand) sensors, and ammonia nitrogen sensors are installed at suitable locations on the inlet and outlet pipes of the water purification equipment. When the equipment starts, the sensors automatically activate and continuously acquire water quality parameters at a preset sampling frequency (e.g., once every 5 minutes), transmitting the data to the control module as digital signals. The turbidity sensor uses optical principles, determining the turbidity value by emitting light into the water and measuring the intensity of the scattered light. The COD sensor is based on electrochemical or photometric principles, calculating the COD value by converting the intensity of electrical or optical signals generated by specific chemical reactions. The ammonia nitrogen sensor uses an ion-selective electrode method, determining the ammonia nitrogen content based on the potential difference generated by the electrode in an ammonia-containing aqueous solution.

[0026] Step S200: Upload the operating status of the water purification equipment, and configure the filter cartridge clogging unit vector associated with the filter cartridge operating pressure and the fluid resistance unit vector associated with the water production flow rate.

[0027] Specifically, when the water purification equipment is running, the built-in communication module, such as a 4G, Wi-Fi, or NB-IoT communication module, collects real-time operating status data, including motor speed, operating current of each component, and inlet and outlet pressure of the filter element. The equipment's operating data is packaged into data frames at set time intervals (such as every half hour) and sent to a remote server or monitoring platform according to the communication protocol.

[0028] The filter cartridge clogging unit vector is a vector used to quantify the relationship between the degree of filter cartridge clogging and operating pressure. Each element represents the relative value of pressure change within a specific clogging range, used to assess the clogging trend and severity, providing a basis for baffled discharge decisions. The fluid resistance unit vector reflects the relationship between permeable water flow rate and the resistance experienced by the fluid in the pipes and filter cartridge. Each element represents the change in resistance corresponding to a unit change in flow rate. This vector is used to regulate the baffled discharge rate, ensuring the efficiency and stability of the baffled discharge process.

[0029] The filter cartridge clogging unit vector configuration is based on extensive experimental and historical data, deriving the pressure change value corresponding to a unit degree of clogging in the filter cartridge, and storing it in vector form in the equipment control system or cloud database. The fluid resistance unit vector configuration related to permeable water flow is similar; by analyzing the resistance characteristics of fluid in pipes and filter cartridges at different flow rates, the resistance change value corresponding to a unit flow rate change is determined. The configuration of the filter cartridge clogging unit vector and the fluid resistance unit vector is performed by the equipment during the initial setup phase, based on parameters such as its filter cartridge model and pipe layout, retrieving the corresponding vector from a pre-stored vector database, or by technicians manually inputting vector values ​​on the equipment's debugging interface. Once completed, the configuration is stored in the equipment's storage chip for subsequent calculations.

[0030] In one possible implementation, a filter cartridge clogging unit vector associated with the filter cartridge operating pressure is configured. Step S200 further includes step S210, which involves collecting pipeline friction loss data under different product water flow rates to establish a flow-resistance characteristic curve. Specifically, by installing pressure sensors and flow sensors at different locations in the pipeline, pressure difference data between the beginning and end of each section of the pipeline, i.e., friction loss, is collected simultaneously under various product water flow conditions. Data processing software is used to fit the collected flow values ​​with the corresponding pressure loss values ​​to plot the flow-resistance characteristic curve. For example, in an industrial water purification system, starting from zero flow, the flow rate is increased in certain increments (e.g., every 5m³ / h). 3 The water production equipment is gradually adjusted, and the pressure difference between different sections of the pipeline is recorded each time the flow rate is stabilized at a specific level. This results in the curve, which shows a certain non-linear relationship and reflects the impact of flow rate changes on pipeline resistance.

[0031] Step S220: Discretize the flow-resistance characteristic curve into M feature points to generate a fluid resistance unit vector including pipe resistance components, filter element resistance components, and valve resistance components, where M is greater than or equal to 5. Specifically, the fitted flow-resistance characteristic curve is discretized, and M representative feature points are selected. These points cover different sections of the curve and reflect the key trends in flow-resistance changes. For example, they are selected at the beginning, middle, and steeply increasing sections of the curve to ensure that M ≥ 5 to meet data accuracy requirements. For each feature point, the pipe resistance, filter element resistance, and valve resistance components are calculated separately. The pipe resistance component is calculated using fluid mechanics formulas such as the Darcy-Weisbach formula based on the pipe length, diameter, roughness, and water flow velocity at the flow rate of that feature point. The filter element resistance component is determined based on the structural parameters of the filter element (such as filtration accuracy and filtration area) and the resistance characteristic curve of the water flowing through the filter element at that flow rate. The valve resistance component is calculated according to the valve type, opening degree, and local resistance coefficient at the corresponding flow rate. These three components are combined into a unit vector of fluid resistance, with each feature point corresponding to a vector. The three dimensions of the vector represent the relative values ​​of the resistance components of the pipe, filter element, and valve, respectively, and are normalized to ensure comparability and universality. The vector form is as follows: [R] p ,R f ,R v ], where R p R is the component of pipe resistance. f R is the filter element resistance component. v The components represent valve resistance, and the values ​​of each component are normalized to be in the range of 0-1.

[0032] Step S230: Based on the fluid resistance unit vector, determine the filter cartridge clogging unit vector associated with the filter cartridge operating pressure. Specifically, based on the fluid resistance unit vector, analyze the variation of the filter cartridge resistance component with time, water quality, and other factors. Establish a mapping relationship model between the degree of filter cartridge clogging and the change of the filter cartridge resistance component. This model can be trained using a large amount of experimental data, considering the resistance characteristics of the filter cartridge under different clogging conditions. Using this model, combined with the current filter cartridge operating pressure (which can be obtained in real time through the filter cartridge inlet and outlet pressure sensors) and the filter cartridge resistance component in the fluid resistance unit vector, deduce the filter cartridge clogging unit vector. The filter cartridge clogging unit vector represents the pressure change value corresponding to a unit degree of filter cartridge clogging and is used in subsequent sewage discharge decisions and other processes.

[0033] This implementation method determines the filter element clogging unit vector based on the fluid resistance unit vector. Compared with the traditional method of judging the filter element clogging status simply based on the running time or coarse pressure difference, it can more accurately reflect the quantitative relationship between the degree of filter element clogging and the operating pressure, thereby enabling more reasonable sewage discharge decisions, avoiding premature or late sewage discharge, extending the service life of the filter element, and improving equipment operating efficiency and water quality assurance stability.

[0034] Step S300: Based on the turbidity, COD value, and ammonia nitrogen content data in the water quality parameters, combined with the filter element clogging unit vector and the remaining treatment capacity of the equipment, determine the sewage discharge trigger threshold.

[0035] Specifically, a pre-established sewage discharge trigger threshold calculation model is used. This model, based on big data analysis and machine learning algorithms, comprehensively considers the impact of water quality parameters on the filter cartridge clogging speed and treatment effect, as well as the clogging trend reflected by the filter cartridge clogging unit vector. Water quality parameters, clogging vectors, and remaining treatment capacity are input into the model, and the sewage discharge trigger threshold is obtained through weight allocation and function calculation. For example, a linear weighted model is used, assigning different weights to turbidity, COD value, and ammonia nitrogen content (weight values ​​are determined experimentally). Simultaneously, the clogging progress weight calculated from the filter cartridge clogging unit vector and the capacity weight corresponding to the remaining treatment capacity of the equipment are combined to obtain the sewage discharge trigger threshold through linear combination calculation.

[0036] In one possible implementation, by combining the filter element clogging unit vector and the remaining processing capacity of the equipment to determine the discharge trigger threshold, step S300 further includes step S310, which standardizes the magnitude of the filter element clogging unit vector to the [0, 1] interval and sets the clogging coefficient. Specifically, the magnitude of the filter element clogging unit vector can be standardized using a vector normalization method. For example, using the formula: Clogging coefficient = Magnitude of filter element clogging unit vector / Maximum possible magnitude of filter element clogging unit vector, the magnitude is compressed to the [0, 1] interval to obtain the clogging coefficient. The maximum possible magnitude can be pre-determined experimentally, that is, the magnitude of the filter element clogging unit vector corresponding to when the filter element is completely clogged. The clogging coefficient reflects the proportion of the current degree of filter element clogging to complete clogging; the closer the value is to 1, the more severe the filter element clogging.

[0037] Step S320: Determine the normalized value of the remaining treatment capacity of the water purification equipment based on its rated total capacity. Specifically, the formula for calculating the normalized value of the remaining treatment capacity is: Normalized remaining treatment capacity = Remaining treatment capacity / Rated total capacity. The remaining treatment capacity can be estimated using parameters such as equipment operating time, treated water volume, and filter cartridge lifespan. For example, if the filter cartridge's designed total treated water volume is 1000 liters (rated total capacity), and 600 liters have been treated, then the remaining treatment capacity is 400 liters, with a normalized value of 0.4. Normalization allows the remaining treatment capacity to be expressed in a dimensionless form, facilitating comprehensive analysis with other parameters.

[0038] Step S330: Determine the sewage discharge trigger threshold based on the blockage coefficient and the normalized value of the remaining processing capacity of the equipment. Specifically, the sewage discharge trigger threshold can be determined by establishing a mathematical model that comprehensively considers the blockage coefficient and the normalized remaining processing capacity of the equipment. For example, a weighted summation method can be used, with the formula: Sewage discharge trigger threshold = w1 × blockage coefficient + w2 × (1 - normalized remaining processing capacity of equipment), where w1 and w2 are weight coefficients, representing the degree of influence of the blockage coefficient and the remaining processing capacity of the equipment on the sewage discharge trigger, respectively, and w1 + w2 = 1. The weight coefficients can be adjusted to optimize the timing of the sewage discharge trigger based on actual needs and experimental data. When the sewage discharge trigger threshold exceeds the preset threshold, the sewage discharge procedure is triggered.

[0039] This implementation standardizes the modulus of the filter element clogging unit vector and normalizes the remaining processing capacity of the equipment, so that both parameters are on the same scale (in the [0,1] interval), avoiding evaluation errors caused by different parameter dimensions, and enabling a more accurate comprehensive evaluation of the filter element clogging status and the equipment's processing capacity.

[0040] In one possible implementation, step S300 further includes step S340, determining the filter cartridge retention efficiency decay coefficient using the cumulative treated water volume as the independent variable. Specifically, a relationship model between filter cartridge retention efficiency and cumulative treated water volume is established using extensive experimental data and historical operating data. The filter cartridge retention efficiency gradually decreases with increasing cumulative treated water volume, and this relationship is non-linear. For example, using an exponential decay model, model parameters are fitted based on the retention efficiency data measured experimentally at different cumulative treated water volumes, thereby enabling the calculation of the filter cartridge retention efficiency decay coefficient (which can be defined as the ratio of the current retention efficiency to the initial retention efficiency, ranging from 0 to 1) based on the cumulative treated water volume.

[0041] Step S350: Based on the filter cartridge retention efficiency attenuation coefficient and the influent water quality fluctuation coefficient, the sewage discharge trigger threshold is synchronously corrected. Specifically, the influent water quality fluctuation coefficient can be determined based on the deviation between real-time monitoring data of water quality parameters such as influent turbidity, COD value, and ammonia nitrogen content and the average value (or a set standard value) over a period of time. For example, for turbidity, the relative deviation between its real-time value and the average value is calculated. If the deviation exceeds a certain range, the influent water quality fluctuation coefficient increases accordingly, indicating that the influent water quality has deteriorated. The filter cartridge retention efficiency attenuation coefficient and the influent water quality fluctuation coefficient are combined, and the sewage discharge trigger threshold is adjusted according to a certain correction formula. For example, the correction formula can be: Corrected sewage discharge trigger threshold = Original sewage discharge trigger threshold × (1 + α × Retention efficiency attenuation coefficient + β × Influent water quality fluctuation coefficient), where α and β are adjustment coefficients used to control the degree of influence of the two factors on the sewage discharge trigger threshold.

[0042] As the cumulative treated water volume increases, the filter cartridge's retention efficiency inevitably declines. This implementation method, by introducing a retention efficiency decline coefficient and adjusting the blowdown trigger threshold accordingly, can more accurately reflect the filter cartridge's actual working capacity. For example, when the filter cartridge's retention efficiency drops to a certain level, even if the clogging has not yet reached the original threshold, blowdown may be necessary in advance to ensure the quality of the effluent. This correction method avoids the problems of untimely or excessive blowdown caused by simply relying on the clogging situation or remaining treatment capacity and ignoring changes in the filter cartridge's retention performance.

[0043] Step S400: Based on the sewage discharge trigger threshold, a decision is made to start the sewage discharge procedure. If the start decision is successful, the sewage discharge valve is opened and the sewage discharge rate is adjusted according to the fluid resistance unit vector.

[0044] Specifically, the sewage discharge initiation decision relies on the equipment's logic control unit, which compares the sewage discharge trigger threshold with a pre-set threshold standard (such as the minimum trigger value for reaching sewage discharge conditions determined based on experience or experimentation). If the calculated sewage discharge trigger threshold exceeds or reaches this preset standard, the sewage discharge procedure is triggered. Controlling the opening and adjustment rate of the sewage discharge valve primarily utilizes the electric sewage discharge valve and its drive motor. Based on the unit vector of fluid resistance and the current produced water flow rate, the appropriate motor drive current or pulse signal corresponding to the sewage discharge rate is calculated. This signal controls the drive motor to adjust the opening of the sewage discharge valve, thereby achieving precise adjustment of the sewage discharge rate.

[0045] In one possible implementation, the drain valve is opened and the drain rate is adjusted according to the fluid resistance unit vector. Step S400 further includes step S410, which maps the valve resistance component of the fluid resistance unit vector to the initial opening degree of the drain valve. Specifically, based on the mapping relationship between the valve resistance component in the fluid resistance unit vector and the drain valve opening degree, the valve resistance component is converted into the initial opening degree of the drain valve by looking up a preset mapping table or using a mapping function formula. For example, by establishing a correspondence table between the valve resistance component and the opening degree through experiments, when the valve resistance component in the fluid resistance unit vector is found to be 0.6, the corresponding initial opening degree of 40% is found according to the mapping table, and a control signal is sent to the drain valve actuator to open the drain valve to the corresponding initial opening degree.

[0046] Step S420: Based on the initial opening of the drain valve, fuzzy PID control is employed, using the turbidity difference between the outlet and inlet as feedback to dynamically adjust the drain rate. Specifically, during the drain program, the turbidity of the outlet and inlet is monitored in real time, with the turbidity difference serving as feedback. This difference reflects the current drain's effect on water purification. Based on the deviation between the turbidity difference and the set target turbidity difference, and the rate of change of the deviation, fuzzy rules are used to derive the parameter adjustment of the PID controller, thereby dynamically adjusting the PID controller parameters. The adjusted PID parameters are used to precisely control the drain rate, adjusting the drain valve opening to stabilize the turbidity difference within the target range. For example, when the turbidity difference deviation is large and the rate of change is high, fuzzy rules determine that the PID proportional gain needs to be increased to accelerate the adjustment speed, while appropriately adjusting the integral and derivative times to quickly adjust the drain rate to a suitable value.

[0047] This implementation maps the valve resistance component, a unit vector of fluid resistance, to the initial opening of the drain valve, allowing the initial opening to be rationally determined based on the current fluid resistance. Compared to a fixed initial opening, this resistance component-based mapping method ensures the drain valve is already at a suitable opening position upon opening, reducing significant oscillations during adjustment and approaching the ideal discharge rate more quickly. For example, under different operating conditions, such as high or low flow rates, the drain valve can directly open to a near-desired opening, saving adjustment time. Using fuzzy PID control with turbidity difference as feedback, real-time dynamic and precise adjustment of the discharge rate can be achieved. The turbidity difference directly reflects the impact of discharge on water quality; by tracking this parameter and implementing feedback control, it can be ensured that the discharge process consistently moves towards improving water quality.

[0048] In one possible implementation, the turbidity difference between the outlet and inlet is used as feedback to dynamically adjust the sewage discharge rate. Step S400 further includes step S430, setting a rate protection mechanism to reduce the sewage discharge rate and activate pressure recovery monitoring when the pipeline pressure is detected to be below a critical value. Specifically, multiple pressure sensors are rationally arranged in the pipeline system of the water purification equipment, especially at key locations in the sewage discharge pipe and the main water supply pipe. The pipeline pressure is monitored in real time by pressure sensors installed on the pipes. These pressure sensors can convert the pressure value in the pipeline into an electrical signal and transmit it to the equipment's control system with high accuracy and fast response. For example, a high-precision piezoresistive pressure sensor is used, with an accuracy of ±0.5% of the full scale range, which can accurately capture minute changes in pipeline pressure. A critical value for pipeline pressure is preset in the equipment control system. After the equipment starts the sewage discharge program, the control system receives the pressure data transmitted by the pressure sensors in real time. When the pressure sensor detects that the pipeline pressure is below this critical value, the rate protection mechanism is triggered. The control system immediately sends a command to reduce the opening of the drain valve, for example, reducing the initial opening of the drain valve from 40% to 20%, thereby reducing the drain rate. At the same time, the pressure recovery monitoring program is activated, and the monitoring frequency can be set to multiple times per second to capture pressure changes in a timely manner.

[0049] Step S440: If the pressure does not recover within the preset time node, mark the current filter cartridge clogging unit vector and the current fluid resistance unit vector, and perform adaptive correction. Specifically, the timer built into the equipment control system is used to monitor the pressure recovery time. This timer starts counting from the trigger rate protection mechanism, and when the preset time node (e.g., 30 seconds or 1 minute) is reached, it is determined whether the pressure has recovered. A dedicated storage area is set up in the water purification equipment's storage system to record the current filter cartridge clogging unit vector and fluid resistance unit vector. When the pressure does not recover within the specified time, the two vectors are marked and stored. Based on the marked vector data, the filter cartridge clogging unit vector and fluid resistance unit vector are corrected. This can be achieved by adjusting the vector calculation model parameters or updating the vector values. For example, for the filter cartridge clogging unit vector, its modulus can be increased according to the actual situation to indicate that the degree of filter cartridge clogging has worsened; for the fluid resistance unit vector, the weights of its components can be adjusted, such as increasing the weight of the valve resistance component, to reflect the increased resistance influence of the valve during the current sewage discharge process, thereby optimizing the subsequent sewage discharge control strategy.

[0050] This implementation method, through the setting of a rate protection mechanism, promptly reduces the sewage discharge rate when the pipeline pressure falls below a critical value, effectively preventing damage to the water purification equipment caused by a sudden drop in pipeline pressure due to an excessively rapid sewage discharge rate. For example, excessively low pipeline pressure may cause pipeline deformation, loosening of connections, or even damage to equipment such as water pumps due to cavitation.

[0051] In one possible implementation, the current filter cartridge clogging unit vector and the current fluid resistance unit vector are marked and adaptively corrected. Step S440 further includes step S441, extracting the proportion of the filter cartridge resistance component in the marked fluid resistance unit vector and comparing it with a threshold range for the proportion of the filter cartridge resistance component during normal operation of the water purification equipment. Specifically, in the control system of the water purification equipment, a threshold range for the proportion of the filter cartridge resistance component during normal operation is pre-stored. This threshold range is determined based on equipment design parameters, filter cartridge specifications, and a large amount of experimental data. For example, the threshold range for the proportion of the filter cartridge resistance component during normal operation is set to 30% to 50%. After marking the fluid resistance unit vector, the equipment control system extracts the proportion of the filter cartridge resistance component through vector decomposition. For example, if the marked fluid resistance unit vector is [0.4, 0.3, 0.3] (representing the proportions of filter cartridge resistance, pipe resistance, and valve resistance, respectively), then the proportion of the filter cartridge resistance component is 40%. This value is compared with a pre-set threshold range for the proportion of the filter cartridge resistance component during normal operation (e.g., 30% to 50%) to determine whether it exceeds this range.

[0052] Step S442: If the proportion of the filter element resistance component in the marked fluid resistance unit vector exceeds the threshold range of the filter element resistance component proportion, the inlet flow rate is reduced according to the filter element load. Specifically, when it is determined that the proportion of the filter element resistance component exceeds the normal threshold range, the equipment control system calculates the required reduction in inlet flow rate based on the correspondence between filter element load and inlet flow rate. Then, the inlet flow rate is adjusted to a suitable range by adjusting the drive device of the inlet valve. For example, if the current inlet flow rate is 10m³ / s... 3 / h, calculated based on the filter element load, needs to be reduced to 8m 3 If the flow rate is / h, the control system sends a signal to adjust the opening of the inlet valve to stabilize the inlet flow rate at 8m³ / h. 3 / h. Among them, the filter cartridge load can be comprehensively evaluated by factors such as the degree of filter cartridge clogging, the amount of water treated, and the quality of the influent water.

[0053] This method extracts the proportion of the filter element resistance component in the unit vector of fluid resistance and compares it with the normal threshold range to promptly detect whether the filter element is overloaded. When the proportion of the filter element resistance component exceeds the threshold, the inlet water flow rate is reduced in time to prevent the filter element from being damaged due to excessive clogging or the quality of the effluent from deteriorating.

[0054] In step S500, simultaneously, based on the changes in the water quality parameters, a stepped sewage discharge strategy including small flow flushing time, main sewage discharge flow rate and interval period is configured, and the water-saving rate is determined by comparing it with the energy-saving sewage discharge volume, and the water-saving rate is used for optimization iteration.

[0055] Specifically, the tiered wastewater discharge strategy relies on the equipment's programming logic and timing control functions. Based on the changing trends of water quality parameters, different stages of wastewater discharge parameters are set through programming. For example, the duration of low-flow flushing can be determined based on the rate of turbidity change, the main wastewater discharge flow rate is set with reference to a comprehensive index of COD and ammonia nitrogen content, and the interval period is adjusted in conjunction with filter cartridge recovery and water quality fluctuation cycles. Energy-saving wastewater discharge calculation is based on empirical values ​​of wastewater discharge under standard operating conditions. The water-saving rate is obtained by dividing the difference between the actual wastewater discharge and the energy-saving wastewater discharge by the energy-saving wastewater discharge. The water-saving rate is used to measure the water-saving effect of the wastewater discharge strategy. Using the water-saving rate as a feedback signal, feedback control algorithms such as PID (Proportional-Integral-Derivative) are applied to iteratively optimize the parameters of the tiered wastewater discharge strategy based on the sign and magnitude of the water-saving rate, continuously adjusting to improve the water-saving effect.

[0056] In one possible implementation, a stepped sewage discharge strategy is configured, including a low-flow flushing duration, a main sewage discharge flow rate, and an interval period. Step S500 further includes step S510, wherein the low-flow flushing duration of the stepped sewage discharge strategy is dynamically set according to the COD value of the inlet; the interval period of the stepped sewage discharge strategy is adaptively adjusted based on the average water production rate; and the main sewage discharge flow rate of the stepped sewage discharge strategy is obtained by multiplying the modulus of the unit vector of fluid resistance with the rated sewage discharge flow rate.

[0057] Specifically, the COD value at the inlet reflects the content of organic pollutants in the raw water. A higher COD value indicates more organic pollutants in the water, making it easier for the filter element surface to be covered by pollutants, thus affecting filtration efficiency and filter element lifespan. Therefore, by monitoring the inlet COD value in real time and dynamically adjusting the low-flow rinsing time based on the COD value, the rinsing time can be extended when the COD value is high to enhance the rinsing effect on the filter element and remove pollutants promptly; conversely, the rinsing time can be shortened when the COD value is low to avoid over-rinsing and water waste.

[0058] Average water production reflects the actual water production of the equipment over a period of time. When the average water production is high, it indicates that the equipment is under a heavy operating load, and the filter cartridge may become clogged faster. Therefore, it is necessary to shorten the blowdown interval to ensure the filtration effect of the filter cartridge and the stable operation of the equipment. When the average water production is low, the equipment is under a light operating load, and the filter cartridge becomes clogged relatively slowly. In this case, the blowdown interval can be appropriately extended to reduce the number of blowdowns and lower the consumption of water and energy.

[0059] The magnitude of the unit vector of fluid resistance comprehensively reflects the resistance of the entire fluid system under current operating conditions. Multiplying it by the rated sewage discharge flow rate yields the main sewage discharge flow rate that matches the current system resistance. This allows for the rational determination of the main sewage discharge flow rate based on the actual system resistance, ensuring the efficiency and stability of the sewage discharge process.

[0060] In one possible implementation, the water-saving rate is determined by comparing it with the energy-saving wastewater discharge, and the optimization is iterated based on the water-saving rate. Step S500 further includes step S520, where the energy-saving wastewater discharge is obtained by weighted averaging based on historical best wastewater discharge data. Specifically, optimal wastewater discharge data from the water purification equipment during its historical operation is collected. This data includes records of wastewater discharge volumes that achieve the best water-saving and wastewater discharge effects under different operating conditions. These historical best wastewater discharge data are weighted according to factors such as the timeliness and relevance of the data. For example, more recent data is given greater weight because it better reflects the current operating status of the equipment and the water quality. Then, the energy-saving wastewater discharge is calculated using a weighted average algorithm.

[0061] Step S530: The water-saving rate is calculated as the percentage of the difference between the energy-saving sewage discharge and the actual sewage discharge. Specifically, after each sewage discharge operation, the equipment control system acquires the actual sewage discharge data, including the sum of the sewage discharge during the low-flow flushing stage and the main sewage discharge stage. By calculating the difference between the actual sewage discharge and the energy-saving sewage discharge, and then calculating the percentage of this difference to the energy-saving sewage discharge, the water-saving rate is obtained. The water-saving rate reflects in real time the water-saving effect of the current sewage discharge strategy compared to the energy-saving sewage discharge.

[0062] Step S540: Using maximizing the water-saving rate as the objective function, iteratively optimize the low-flow flushing duration, main sewage flow rate, and interval period. Specifically, optimization algorithms, such as genetic algorithms and particle swarm optimization algorithms, are employed, with maximizing the water-saving rate as the objective function. The low-flow flushing duration, main sewage flow rate, and interval period are used as optimization variables. Under certain constraints (such as water quality compliance and stable equipment operation), the values ​​of these variables are continuously adjusted through multiple iterative calculations to find the optimal sewage discharge strategy parameter combination that maximizes the water-saving rate. In each optimization iteration, based on the current water-saving rate and sewage discharge strategy parameters, a new sewage discharge strategy parameter combination is generated according to the rules of the optimization algorithm and evaluated in a simulated environment. After multiple iterations, the optimal values ​​of the low-flow flushing duration, main sewage flow rate, and interval period that maximize the water-saving rate are obtained. These optimal values ​​are then updated in the equipment's sewage discharge control parameters and applied in actual operation.

[0063] This approach optimizes and iterates to maximize water conservation, continuously adjusting and improving the wastewater discharge strategy to minimize wastewater discharge while ensuring water quality meets standards and equipment operates normally. This significantly improves the water resource utilization efficiency of the equipment and reduces water waste.

[0064] This application embodiment collects water quality parameters such as turbidity, COD, and ammonia nitrogen from the inlet / outlet of the water purification equipment, simultaneously uploads the equipment's operating status, and configures filter cartridge clogging and fluid resistance unit vectors. Based on the water quality data, combined with the degree of filter cartridge clogging and remaining treatment capacity, it dynamically calculates the sewage discharge trigger threshold. When the conditions are met, it adjusts the opening of the sewage discharge valve according to the fluid resistance vector, and executes a stepped sewage discharge strategy including three stages: small-flow flushing, main sewage discharge, and interval cycle. By comparing the water-saving rate with the energy-saving benchmark, it optimizes the threshold calculation parameters and forms a closed-loop control. These technical means solve the technical problem of inaccurate sewage discharge control in existing energy-saving water purification equipment and achieve the technical effect of precise sewage discharge control.

[0065] In the above text, refer to Figure 1 A method for discharging wastewater from an energy-saving water purification device according to an embodiment of the present invention is described in detail. Next, reference will be made to... Figure 2 This invention describes a wastewater discharge device for an energy-saving water purification system according to an embodiment of the present invention.

[0066] According to an embodiment of the present invention, a wastewater discharge device for an energy-saving water purification equipment is provided to solve the technical problem of inaccurate wastewater discharge control in existing energy-saving water purification equipment, thereby achieving precise wastewater discharge control. The wastewater discharge device for an energy-saving water purification equipment includes: a water quality parameter acquisition module 10, a unit vector configuration module 20, a wastewater discharge trigger threshold determination module 30, a wastewater discharge control module 40, and an optimization iteration module 50.

[0067] The water quality parameter acquisition module 10 is used to acquire the water quality parameters of the inlet and outlet of the water purification equipment; the unit vector configuration module 20 is used to upload the operating status of the water purification equipment and configure the filter element clogging unit vector associated with the filter element operating pressure and the fluid resistance unit vector associated with the water production flow rate; the sewage discharge trigger threshold determination module 30 is used to determine the sewage discharge trigger threshold based on the turbidity, COD value, and ammonia nitrogen content data in the water quality parameters, combined with the filter element clogging unit vector and the remaining processing capacity of the equipment; the sewage discharge control module 40 is used to make a sewage discharge program start decision based on the sewage discharge trigger threshold. If the start decision is passed, the sewage discharge valve is controlled to open and the sewage discharge rate is adjusted according to the fluid resistance unit vector; the optimization iteration module 50 is used to configure a stepped sewage discharge strategy including small flow flushing time, main sewage discharge flow rate and interval period according to the changes in the water quality parameters, compare it with the energy-saving sewage discharge volume to determine the water saving rate, and perform optimization iteration based on the water saving rate.

[0068] The specific configuration of the sewage discharge trigger threshold determination module 30 will be described in detail below. As mentioned above, the sewage discharge trigger threshold is determined by combining the filter element blockage unit vector and the remaining processing capacity of the equipment. The sewage discharge trigger threshold determination module 30 may further include: a blockage coefficient setting unit for standardizing the magnitude of the filter element blockage unit vector to the [0, 1] interval and setting a blockage coefficient; a normalized value determination unit for the remaining processing capacity of the equipment for determining a normalized value of the remaining processing capacity of the equipment based on the rated total capacity of the water purification equipment; and a sewage discharge trigger threshold determination unit for determining a sewage discharge trigger threshold based on the blockage coefficient and the normalized value of the remaining processing capacity of the equipment.

[0069] The sewage discharge trigger threshold determination module 30 may further include: a filter cartridge retention efficiency attenuation coefficient determination unit for determining the filter cartridge retention efficiency attenuation coefficient with the cumulative treated water volume as the independent variable; and a sewage discharge trigger threshold correction unit for synchronously correcting the sewage discharge trigger threshold based on the filter cartridge retention efficiency attenuation coefficient and the influent water quality fluctuation coefficient.

[0070] The specific configuration of the unit vector configuration module 20 will be described in detail below. As mentioned above, the unit vector configuration module 20 configures the filter cartridge clogging unit vector associated with the filter cartridge operating pressure. The unit vector configuration module 20 may further include: a flow-resistance characteristic curve establishment unit for collecting pipeline friction loss data under different product water flow rates and establishing a flow-resistance characteristic curve; a fluid resistance unit vector generation unit for discretizing the flow-resistance characteristic curve into M feature points and generating a fluid resistance unit vector including pipeline resistance components, filter cartridge resistance components, and valve resistance components, where M is greater than or equal to 5; and a filter cartridge clogging unit vector determination unit for determining the filter cartridge clogging unit vector associated with the filter cartridge operating pressure based on the fluid resistance unit vector.

[0071] The specific configuration of the sewage control module 40 will be described in detail below. As mentioned above, the sewage control module 40 controls the opening of the sewage valve and adjusts the sewage discharge rate according to the fluid resistance unit vector. The sewage control module 40 may further include: a sewage valve initial opening mapping unit for mapping the valve resistance component of the fluid resistance unit vector to the initial opening of the sewage valve; and a sewage discharge rate dynamic adjustment unit for dynamically adjusting the sewage discharge rate based on the initial opening of the sewage valve, using fuzzy PID control and taking the turbidity difference between the outlet and the inlet as the feedback quantity.

[0072] The sewage discharge rate is dynamically adjusted using the turbidity difference between the outlet and the inlet as feedback. The sewage discharge control module 40 may further include: a rate protection mechanism setting unit for setting a rate protection mechanism, which reduces the sewage discharge rate and initiates pressure recovery monitoring when the pipeline pressure is detected to be lower than a critical value; and an adaptive correction unit for marking the current filter element blockage unit vector and the current fluid resistance unit vector and performing adaptive correction if the pressure does not recover within a preset time node.

[0073] The process involves marking the current filter cartridge blockage unit vector and the current fluid resistance unit vector, and then performing adaptive correction. The adaptive correction unit may further include: a comparison subunit for extracting the proportion of the filter cartridge resistance component in the marked fluid resistance unit vector and comparing it with the threshold range of the proportion of the filter cartridge resistance component during normal operation of the water purification equipment; and an inlet flow rate reduction subunit for reducing the inlet flow rate of the water inlet according to the filter cartridge load if the proportion of the filter cartridge resistance component in the marked fluid resistance unit vector exceeds the threshold range of the proportion of the filter cartridge resistance component.

[0074] The specific configuration of the optimization iteration module 50 will be described in detail below. As mentioned above, the configuration includes a stepped sewage discharge strategy with low-flow flushing duration, main sewage discharge flow rate, and interval period. The optimization iteration module 50 may further include: a stepped sewage discharge parameter configuration unit for dynamically setting the low-flow flushing duration of the stepped sewage discharge strategy based on the COD value of the inlet; the interval period of the stepped sewage discharge strategy is adaptively adjusted based on the average water production rate, and the main sewage discharge flow rate of the stepped sewage discharge strategy is obtained by multiplying the magnitude of the unit vector of fluid resistance with the rated sewage discharge flow rate.

[0075] The water-saving rate is determined by comparing it with the energy-saving sewage discharge, and the optimization iteration module 50 is used to optimize the water-saving rate. The optimization iteration module 50 may further include: an energy-saving sewage discharge acquisition unit for obtaining the energy-saving sewage discharge by weighted averaging based on historical best sewage discharge data; a water-saving rate determination unit for using the difference between the energy-saving sewage discharge and the actual sewage discharge as a percentage of the energy-saving sewage discharge as the water-saving rate; and an iterative optimization unit for iteratively optimizing the small flow flushing time, main sewage discharge flow rate and interval period with the water-saving rate maximization as the objective function.

[0076] The wastewater discharge device of the energy-saving water purification equipment provided in the embodiments of the present invention can execute the wastewater discharge method of the energy-saving water purification equipment provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method.

[0077] Although this application makes various references to certain modules in the apparatus according to the embodiments of this application, any number of different modules can be used and run on user terminals and / or servers. The various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy distinction between each other and are not intended to limit the scope of protection of this invention.

[0078] The specific embodiments described above do not constitute a limitation on the scope of protection of this application. Those skilled in the art should understand that various modifications, combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this application should be included within the scope of protection of this application. In some cases, the actions or steps described in this application can be performed in a different order than that shown in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require a specific or sequential order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A method for discharging wastewater from an energy-saving water purification device, characterized in that, The method includes: Obtain the water quality parameters at the inlet and outlet of the water purification equipment; Upload the operating status of the water purification equipment, and configure the filter cartridge clogging unit vector associated with the filter cartridge operating pressure and the fluid resistance unit vector associated with the water production flow rate; Based on the turbidity, COD value, and ammonia nitrogen content data in the water quality parameters, combined with the filter cartridge clogging unit vector and the remaining treatment capacity of the equipment, the sewage discharge trigger threshold is determined. The sewage discharge procedure is initiated based on the sewage discharge trigger threshold. If the initiation decision is successful, the sewage discharge valve is opened and the sewage discharge rate is adjusted according to the fluid resistance unit vector. Meanwhile, based on the changes in the water quality parameters, a tiered sewage discharge strategy is configured, which includes the duration of low-flow flushing, the main sewage discharge flow rate, and the interval period. The water-saving rate is determined by comparing it with the energy-saving sewage discharge volume, and the water-saving rate is used for optimization and iteration.

2. The wastewater discharge method of an energy-saving water purification device as described in claim 1, characterized in that, The method further includes determining the discharge trigger threshold by combining the filter element clogging unit vector and the remaining processing capacity of the equipment. The modulus of the filter element clogging unit vector is standardized to the [0, 1] interval, and the clogging coefficient is set; Based on the rated total capacity of the water purification equipment, determine the normalized value of the remaining treatment capacity of the equipment; The discharge trigger threshold is determined based on the blockage coefficient and the normalized value of the remaining processing capacity of the equipment.

3. The wastewater discharge method for an energy-saving water purification device as described in claim 2, characterized in that, The method further includes: The filter cartridge retention efficiency attenuation coefficient is determined by using the cumulative treated water volume as the independent variable; Based on the filter cartridge retention efficiency attenuation coefficient and the influent water quality fluctuation coefficient, the sewage discharge trigger threshold is synchronously corrected.

4. The wastewater discharge method of an energy-saving water purification device as described in claim 1, characterized in that, The method of configuring a filter cartridge clogging unit vector associated with the filter cartridge operating pressure includes: Collect pipeline friction loss data under different water production flow rates and establish flow-resistance characteristic curves; The flow-resistance characteristic curve is discretized into M feature points to generate a fluid resistance unit vector including pipe resistance component, filter element resistance component, and valve resistance component, where M is greater than or equal to 5. Based on the fluid resistance unit vector, determine the filter cartridge clogging unit vector associated with the filter cartridge operating pressure.

5. The wastewater discharge method of an energy-saving water purification device as described in claim 4, characterized in that, The method of controlling the opening of the drain valve and adjusting the drain rate based on the unit vector of fluid resistance includes: Map the valve resistance component of the fluid resistance unit vector to the initial opening of the drain valve; Based on the initial opening of the drain valve, fuzzy PID control is adopted, and the turbidity difference between the outlet and the inlet is used as the feedback quantity to dynamically adjust the drain rate.

6. The wastewater discharge method of an energy-saving water purification device as described in claim 5, characterized in that, The method further includes using the turbidity difference between the outlet and the inlet as feedback to dynamically adjust the sewage discharge rate. A rate protection mechanism is set up so that when the pipeline pressure is detected to be lower than the critical value, the sewage discharge rate is reduced and pressure recovery monitoring is initiated. If the pressure does not recover within the preset time point, mark the current filter blockage unit vector and the current fluid resistance unit vector, and make adaptive corrections.

7. The wastewater discharge method of an energy-saving water purification device as described in claim 6, characterized in that, The method involves labeling the current filter cartridge clogging unit vector and the current fluid resistance unit vector, and then making adaptive corrections. Extract the proportion of filter element resistance component in the marked fluid resistance unit vector and compare it with the threshold range of filter element resistance component proportion when the water purification equipment is running normally; If the proportion of the filter element resistance component in the marked fluid resistance unit vector exceeds the threshold range of the filter element resistance component proportion, the inlet flow rate is reduced according to the filter element load.

8. The wastewater discharge method of an energy-saving water purification device as described in claim 1, characterized in that, The method includes configuring a stepped sewage discharge strategy that includes low-flow flushing duration, main sewage flow rate, and interval period. The low-flow flushing duration of the stepped sewage discharge strategy is dynamically set according to the COD value at the inlet; the interval of the stepped sewage discharge strategy is adaptively adjusted based on the average water production. The main sewage flow rate of the stepped sewage discharge strategy is obtained by multiplying the magnitude of the unit vector of fluid resistance with the rated sewage discharge flow rate.

9. The wastewater discharge method of an energy-saving water purification device as described in claim 8, characterized in that, The method involves determining the water-saving rate by comparing it with energy-saving and pollution-discharge volumes, and then using the water-saving rate for iterative optimization. The energy-saving and pollution-discharge amount is obtained by weighted averaging based on the best historical pollution discharge data; The water saving rate is calculated as the percentage of the difference between the energy-saving and sewage discharge volume and the actual sewage discharge volume. Using the maximization of water-saving rate as the objective function, the flushing time for low flow, the main sewage flow rate, and the interval period are iteratively optimized.

10. A wastewater discharge device for an energy-saving water purification system, characterized in that, The device is used to implement the sewage discharge method of an energy-saving water purification device according to any one of claims 1-9, and the device comprises: The water quality parameter acquisition module is used to acquire the water quality parameters at the inlet and outlet of the water purification equipment. The unit vector configuration module is used to upload the operating status of the water purification equipment and configure the filter cartridge clogging unit vector associated with the filter cartridge operating pressure and the fluid resistance unit vector associated with the water production flow rate. The sewage discharge trigger threshold determination module is used to determine the sewage discharge trigger threshold based on the turbidity, COD value, and ammonia nitrogen content data in the water quality parameters, combined with the filter cartridge clogging unit vector and the remaining treatment capacity of the equipment. The sewage control module is used to make a decision on starting the sewage discharge procedure based on the sewage discharge trigger threshold. If the start decision is successful, the sewage discharge valve is opened and the sewage discharge rate is adjusted according to the fluid resistance unit vector. The optimization and iteration module is used to configure a stepped sewage discharge strategy, including small flow flushing time, main sewage discharge flow rate and interval period, based on the changes in the water quality parameters, and to determine the water saving rate by comparing it with the energy-saving sewage discharge volume, and to perform optimization and iteration based on the water saving rate.

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