Hydrological water resource recycling and purifying device

Abstract

This invention relates to the field of water resource recycling technology and provides a hydrological water resource recycling purification device, comprising: a control unit, which is connected to an adjustable component in the sensing and detection unit and the physical processing unit, for receiving monitoring data from the sensing and detection unit, constructing multiple evaluation models based on the monitoring data and outputting corresponding evaluation indicators, and generating adjustment commands for the opening rate of the adjustable perforated rectifier structure and the flow rate of the backwash pump based on the comparison results of the output evaluation indicators with preset thresholds, so as to maintain the water purification stability of the entire system process. This system realizes dynamic and refined control of the water purification stability of the entire process of the hydrological water resource recycling purification device. The adjustable perforated rectifier structure adjustment module optimizes the influent flow pattern from the source, enhancing the system's adaptability to fluctuations in influent water quality.

Description

Technical Field

[0001] This invention belongs to the field of water resource recycling technology, and particularly relates to a hydrological water resource recycling and purification device. Background Technology

[0002] In the field of water resource recycling, water purification devices are key equipment for realizing water resource regeneration and reuse. Currently, mainstream purification devices generally employ multi-stage physical filtration processes, including pump tanks, cyclone sand separators, media filters, and self-cleaning mesh filters. Some systems are also equipped with backwashing devices, using purified water to backwash clogged filters. However, such systems still face the following key drawbacks in actual operation:

[0003] Firstly, most existing physical treatment units use fixed structures and constant operating parameters, making it impossible to dynamically adjust according to real-time water quality changes. When the raw water quality suddenly deteriorates (such as a sudden increase in turbidity or a surge in impurities), the fixed filtration capacity is insufficient to effectively intercept various impurities, causing some pollutants to penetrate into the subsequent pipe network or causing premature clogging of the filters, forcing frequent backwashing and disrupting the continuity and stability of the system's water supply.

[0004] Secondly, there is a lack of effective collaborative control mechanisms between the various filtration units. Equipment such as cyclone sand separators, media filters, and self-cleaning mesh filters typically operate as independent units, with control logic triggered only by local parameters (such as differential pressure and time) of a single device. This fragmented control approach ignores the inherent connections between units: for example, instability in the water flow within the pump tank directly affects sediment settling efficiency, thus increasing the load on subsequent filters; and backwashing of a single filter can cause drastic fluctuations in system flow and pressure, interfering with the normal operation of upstream units. Ultimately, the entire purification system struggles to maintain stable water purification performance throughout the entire process.

[0005] In addition, existing backwashing strategies are mostly based on fixed flow rate or simple differential pressure triggering, which cannot be finely adjusted according to the actual degree of filter clogging and the overall operating status of the system. This can easily lead to insufficient or excessive backwashing, which affects filtration efficiency and wastes water and energy.

[0006] Therefore, there is an urgent need for a hydrological and water resource recycling and purification device that can achieve dynamic and coordinated control throughout the entire process, so as to improve the system's adaptability to water quality fluctuations and operational stability. Summary of the Invention

[0007] The purpose of this invention is to provide a hydrological water resource recycling and purification device to solve the above-mentioned problems.

[0008] This invention is implemented as follows: a hydrological water resource recycling and purification device, comprising:

[0009] The physical treatment unit includes a water pump, a pump pool, a cyclone sand separator, a media filter, a self-cleaning mesh filter, and a water storage tank connected in sequence along the water flow direction; wherein, the pump pool is provided with a submerged baffle and an adjustable perforated rectifier structure in sequence, the media filter is connected to a backwash pump, and the inlet of the backwash pump is connected to the water storage tank.

[0010] The sensing and detection unit includes multiple sensors installed in various parts of the physical processing unit for real-time monitoring of water quality parameters, equipment status parameters, and hydraulic parameters.

[0011] The control unit, which connects the adjustable components in the sensing and detection unit and the physical processing unit, is used to receive monitoring data from the sensing and detection unit, construct multiple evaluation models based on the monitoring data and output corresponding evaluation indicators, and generate opening rate adjustment commands for the adjustable perforated rectifier structure and flow rate adjustment commands for the backwash pump based on the comparison results of the output evaluation indicators and preset thresholds, so as to maintain the water purification stability of the entire system process.

[0012] A further technical solution is provided, wherein the adjustable perforated rectification structure includes a water-blocking orifice plate fixedly installed with the pump pool water storage tank and a sliding orifice plate slidably engaged with the water-blocking orifice plate. The sliding orifice plate and the water-blocking orifice plate are respectively provided with water passage holes. A driver is fixedly connected to the water-blocking orifice plate, and the output shaft of the driver is threadedly connected to the sliding orifice plate. The sliding orifice plate can slide relative to the water-blocking orifice plate, thereby adjusting the flow area between the sliding orifice plate and the water-blocking orifice plate.

[0013] In a further technical solution, the control unit includes:

[0014] The influent characteristic evaluation module is connected to the turbidity sensor, water temperature sensor and hardness sensor in the sensing and detection unit. It is used to construct an influent characteristic evaluation model based on the real-time detected influent turbidity, influent water temperature and influent impurity hardness, and output the influent characteristic index.

[0015] The process status assessment module connects the angle sensor, differential pressure sensor, cleaning frequency sensor and pump pool level sensor in the sensing and detection unit. It is used to construct a process status assessment model based on the inlet angle of the cyclone separator, the differential pressure on both sides of the media filter, the cleaning frequency of the self-cleaning mesh filter, and the pump pool level fluctuation rate, and outputs the process status assessment index.

[0016] The water purification stability assessment module is connected to the pressure sensor at the outlet of the water pump, the output terminal of the influent characteristic assessment module, the output terminal of the process status assessment module, and the flow sensor at the inlet of the water storage tank. It is used to construct a water purification stability assessment model based on the water pump outlet pressure, influent characteristic index, process status index, and the coefficient of variation of the influent flow rate of the water storage tank, and output the water purification stability index.

[0017] 4. The hydrological and water resource recycling and purification device according to claim 3, characterized in that, in the influent characteristic evaluation module, the influent characteristic index is obtained in the following way:

[0018] The normalized influent turbidity index, influent temperature index, and influent impurity hardness index are used as bases, and exponents are calculated using the corresponding preset positive weight coefficients. The results of the three exponentiations are then multiplied to obtain the influent characteristic index. The sum of each weight coefficient is 1.

[0019] The influent turbidity index, influent temperature index, and influent impurity hardness index are obtained by substituting the obtained influent turbidity, influent temperature, and influent impurity hardness into the maximum-minimum normalization formula for normalization.

[0020] In a further technical solution, the process status index in the process status assessment module is obtained in the following way:

[0021] The normalized hydrocyclone sand separator inlet angle index, the pressure difference index across the media filter, and the self-cleaning mesh filter cleaning frequency index are squared and multiplied by their corresponding preset positive weighting coefficients. Then, the square of the pump pool level fluctuation rate is multiplied by its corresponding preset positive weighting coefficient. The sum of the above four products is then taken as the square root to obtain the process state index. The sum of each weighting coefficient is 1.

[0022] The inlet angle index of the cyclone sand separator, the pressure difference index across the media filter, and the cleaning frequency index of the self-cleaning mesh filter are obtained by substituting the obtained inlet angle of the cyclone sand separator, the pressure difference across the media filter, and the cleaning frequency of the self-cleaning mesh filter into the maximum-minimum value normalization formula for normalization.

[0023] The pump pool level fluctuation rate is calculated by dividing the average absolute deviation of each level sampling value relative to the average level by the average level within the statistical period.

[0024] In a further technical solution, the water purification stability assessment module obtains the water purification stability index through the following methods:

[0025] The weighted sum of squares is obtained by multiplying the squares of the influent characteristic index, the squares of the process state index, the squares of (1 minus the pump outlet pressure index), and the squares of the coefficient of variation of the influent flow rate of the water storage tank by the corresponding preset positive weighting coefficients.

[0026] The weighted sum of squares is multiplied by a preset sensitivity coefficient, and then the negative exponent of the product is calculated. Finally, the negative exponent is subtracted from 1 to obtain the water purification stability index; wherein the sum of each weight coefficient is 1.

[0027] The method for obtaining the water pump outlet pressure index is as follows: substitute the obtained water pump outlet pressure into the maximum-minimum value normalization formula for normalization processing.

[0028] The coefficient of variation of the influent flow rate of the water storage tank is obtained by dividing the standard deviation of each flow rate sampling value by the average flow rate within the statistical period.

[0029] In a further technical solution, the control unit also includes:

[0030] An adjustable perforated rectifier structure adjustment module is connected to the output of the water purification stability assessment module, and is also connected to the aperture ratio feedback signal of the adjustable perforated rectifier structure, the output of the influent characteristic assessment module, and the pump pool level sensor. When the water purification stability index exceeds a first preset threshold, it constructs an aperture adjustment model based on the current aperture ratio of the adjustable perforated rectifier structure, the influent characteristic index, and the pump pool level fluctuation rate, outputs the target aperture ratio, and sends a command to the actuator of the adjustable perforated rectifier structure for adjustment.

[0031] The backwash control module is connected to the output of the water purification stability assessment module, and is also connected to the preset backwash pump flow signal, the output of the process status assessment module, and the differential pressure sensors on both sides of the media filter. When the water purification stability index exceeds the second preset threshold, it constructs a backwash control model based on the preset basic backwash pump flow, the process status index, and the differential pressure on both sides of the media filter, outputs the target backwash pump flow, and sends a command to the backwash pump for flow adjustment.

[0032] In a further technical solution, the target aperture ratio in the adjustable perforated rectifier structure adjustment module is obtained through the following method:

[0033] Based on the current orifice ratio, a proportional adjustment term determined by the deviation of the water purification stability index from a first preset threshold, and a differential adjustment term determined by the rate of change of the pump pool level fluctuation, are superimposed to obtain the target orifice ratio. Specifically, when the water purification stability index is higher than the first preset threshold, the deviation is positive, indicating that the system's operating state is better than expected, and the orifice ratio can be appropriately increased to improve treatment efficiency. When the water purification stability index is lower than the first preset threshold, the deviation is negative, indicating that the system stability has decreased, and the orifice ratio needs to be reduced to enhance the rectification effect and suppress water flow disturbance. Through this two-way adjustment mechanism, the adjustable perforated rectification structure can dynamically optimize the orifice ratio according to the actual system state, maintaining water flow stability within the pump pool.

[0034] The proportional adjustment term is the product of the preset proportional adjustment coefficient and the deviation amount, and the differential adjustment term is the product of the preset differential adjustment coefficient and the rate of change of the pump pool liquid level fluctuation.

[0035] In a further technical solution, the target backwash flow rate in the backwash control module is obtained in the following way:

[0036] Based on the preset basic backwash pump flow rate, an adjustment factor is multiplied by a normalized threshold determined by the degree of deviation of the differential pressure index across the media filter from the upper limit of the allowable differential pressure during normal operation and the degree of deviation of the water stability index from the second preset threshold to obtain the target backwash flow rate. A factor greater than 1 indicates that the backwash intensity needs to be increased. When the differential pressure index of the media filter exceeds the upper limit threshold, it indicates that the filter clogging is more severe, requiring a larger backwash flow rate. When the water stability index is lower than the second preset threshold, it indicates a decrease in the overall stability of the system. In this case, even if the differential pressure does not significantly exceed the limit, backwashing should be moderately increased to preventively restore filter performance and avoid further deterioration of stability.

[0037] The adjustment factor is 1 plus the product of the preset flow compensation coefficient, the pressure difference deviation, and the degree of deviation of the purified water stability. When the purified water stability index is lower than the second preset threshold, its ratio to the second preset threshold is less than 1, but when combined with the pressure difference deviation, the adjustment factor can still be greater than 1 to ensure that the system can obtain sufficient backwashing strength when stability decreases.

[0038] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0039] This system achieves dynamic and precise control over the entire process of water purification stability in a hydrological and water resource recycling purification device. The adjustable perforated rectifier structure adjustment module optimizes the influent flow pattern at the source, enhancing the system's adaptability to fluctuations in influent water quality; the backwash control module optimizes the filter regeneration process, ensuring filtration efficiency and system operational stability. Both modules use the water purification stability index as the trigger and evaluation basis, and combine it with real-time operating parameters of their respective responsible stages to build models and output commands, forming a closed-loop intelligent adjustment system. This dynamic adjustment mechanism based on multi-dimensional data comprehensive evaluation enables the system to proactively address potential problems rather than responding reactively, thereby significantly improving the water purification stability, operational efficiency, and reliability of the entire water treatment system under complex and variable operating conditions.

[0040] The backwash control module, through intelligent backwash control, avoids over- or under-washing that may occur with traditional fixed flow rates or simple differential pressure triggering methods, ensuring that the backwash intensity matches the actual clogging condition of the filter and the overall operating status of the system. By precisely adjusting the backwash flow rate, it not only efficiently restores filter performance and extends its service life, but also effectively reduces the severe impact on system flow and pressure during backwashing, maintaining the stable operation of the entire physical processing unit.

[0041] The influent water stability assessment module accurately captures the overall trend and potential risks of the system's water purification stability, providing a solid data foundation for subsequent intelligent adjustments. For example, when influent water quality deteriorates, filtration equipment becomes clogged, pump pressure fluctuates, or the influent flow rate to the storage tank becomes unstable, the water purification stability index will decrease accordingly, thus providing timely warnings of system stability issues. This multi-parameter collaborative assessment method significantly improves the system's adaptability and predictability to complex operating environments. Attached Figure Description

[0042] Figure 1 This is a schematic diagram of the physical processing unit in this invention;

[0043] Figure 2 This is a schematic diagram of the adjustable perforated rectifier structure in this invention;

[0044] Figure 3 This is a schematic diagram of the overall structure of the present invention.

[0045] Figure 4 This is a schematic diagram of the control unit in this invention.

[0046] In the attached diagram: 1. Pump pool water storage tank; 2. Water baffle plate; 3. Sliding orifice plate; 4. Driver. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0048] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0049] like Figure 1 As shown, a hydrological water resource recycling and purification device according to an embodiment of the present invention includes:

[0050] The physical treatment unit includes a water pump, a pump pool, a cyclone sand separator, a media filter, a self-cleaning mesh filter, and a water storage tank connected in sequence along the water flow direction; wherein, the pump pool is provided with a submerged baffle and an adjustable perforated rectifier structure in sequence, the media filter is connected to a backwash pump, and the inlet of the backwash pump is connected to the water storage tank.

[0051] The sensing and detection unit includes multiple sensors installed in various parts of the physical processing unit for real-time monitoring of water quality parameters, equipment status parameters, and hydraulic parameters.

[0052] The control unit, which connects the adjustable components in the sensing and detection unit and the physical processing unit, is used to receive monitoring data from the sensing and detection unit, construct multiple evaluation models based on the monitoring data and output corresponding evaluation indicators, and generate opening rate adjustment commands for the adjustable perforated rectifier structure and flow rate adjustment commands for the backwash pump based on the comparison results of the output evaluation indicators and preset thresholds, so as to maintain the water purification stability of the entire system process.

[0053] In this embodiment, the hydrological water resource recycling and purification device is a water purification system specifically designed for agricultural drip irrigation scenarios. This system aims to remove impurities from natural water sources, bringing them up to the water quality requirements of the drip irrigation system, while also being able to adapt to fluctuations in water quality.

[0054] The physical treatment unit is a core component of a water treatment system. Its main function is to remove suspended solids, silt, algae, and other impurities from the water through a series of physical processes. This unit typically includes multiple filtration devices connected in series to achieve multi-stage purification.

[0055] The pump tank is a crucial component of the physical treatment unit, typically located after the water pump. It not only buffers and stores raw water but also provides space for subsequent sedimentation and rectification processes, aiding in the removal of larger particles. A hydrocyclone desander utilizes the centrifugal force of the water flow to separate denser silt particles, thus reducing the load on subsequent filtration equipment. Media filters are usually filled with filter media such as sand or quartz sand, intercepting and adsorbing suspended solids in the water through the filter media layer, achieving deep filtration. A self-cleaning mesh filter is a highly efficient fine filter with an internal filter screen capable of intercepting even smaller suspended solids. This filter usually has an automatic backwashing function to remove trapped material from the filter screen and maintain filtration efficiency. A storage tank is used to store the water purified by the physical treatment unit.

[0056] Submerged baffles are installed inside the pump pool to guide the water flow, prolong the water's residence time within the pool, promote sediment settling, and help stabilize the flow. Adjustable perforated flow straighteners are also located inside the pump pool. Their main function is to adjust the flow pattern and velocity distribution by changing the opening ratio, further optimizing the hydraulic conditions within the pump pool, reducing eddies and short-circuiting, improving settling efficiency, and providing more uniform influent to subsequent treatment units.

[0057] Backwash pumps are used to provide a reverse flow of water to flush the filter media when it becomes clogged, in order to restore its filtration performance.

[0058] The sensing and detection unit is the "eyes" of the system. It consists of multiple sensors that are strategically placed at key locations within the physical processing unit to collect various data during system operation in real time.

[0059] A sensor is a device that can sense a specific physical quantity and convert it into a usable signal, such as for monitoring parameters like water quality, pressure, flow rate, and liquid level.

[0060] The control unit is the "brain" of the system. It is responsible for receiving data collected by the sensing and detection unit, analyzing and judging it according to the preset logic and model, and then generating corresponding control commands to adjust the adjustable components in the physical processing unit.

[0061] An evaluation model is a mathematical or logical model used within the control unit to process monitoring data and analyze the system's operating status. These models transform raw data into meaningful evaluation metrics.

[0062] Evaluation indicators are quantitative results of the evaluation model output, used to comprehensively reflect the system's operational performance in terms of water quality, equipment status, hydraulic conditions, etc.

[0063] The orifice ratio adjustment command is a command sent by the control unit to the adjustable perforated rectifier structure based on the evaluation results, in order to adjust its orifice area to optimize the water flow state in the pump pool.

[0064] The flow rate adjustment command is a command sent by the control unit to the backwash pump based on the evaluation results. It is used to adjust the operating flow rate of the backwash pump to optimize the backwashing effect of the filter.

[0065] Water purification stability refers to the ability of a water treatment system to continuously and stably output water that meets the required quality and maintain the efficient operation of all components of the system when faced with fluctuations in the quality of the incoming water.

[0066] like Figure 2 As shown, in a preferred embodiment of the present invention, the adjustable perforated rectification structure includes a water-blocking orifice plate 2 fixedly disposed with the pump pool water storage tank 1 and a sliding orifice plate 3 slidably engaged with the water-blocking orifice plate 2. The sliding orifice plate 3 and the water-blocking orifice plate 2 are respectively provided with water passage holes. A driver 4 is fixedly connected to the water-blocking orifice plate 2, and the output shaft of the driver 4 is threadedly connected to the sliding orifice plate 3. The sliding orifice plate 3 can slide relative to the water-blocking orifice plate 2, thereby adjusting the flow area between the sliding orifice plate 3 and the water-blocking orifice plate 2.

[0067] In this embodiment, an adjustable perforated rectification structure is integrated into the pump pool's water storage tank 1, and given precise mechanical adjustment capabilities to optimize the hydraulic conditions within the pump pool. Specifically, the baffle plate 2 serves as a fixed component, providing a stable mounting base for the entire rectification structure. The sliding plate 3 is threadedly connected to the sliding plate 3 via a driver 4 and its output shaft, achieving precise linear sliding relative to the baffle plate 2. When the driver 4 receives a control command, its output shaft drives the sliding plate 3 to move along the threaded direction, thereby changing the relative overlap area of ​​the water passage holes on the sliding plate 3 and the baffle plate 2. This relative movement directly results in a change in the total flow area of ​​the adjustable perforated rectification structure. By precisely controlling the flow area, the flow velocity and flow pattern of the water flowing through the pump pool can be effectively adjusted, avoiding phenomena such as short-circuiting, eddies, or uneven flow velocity, thereby significantly improving the sedimentation efficiency within the pump pool. This precise control of the water flow in the pump pool not only reduces the burden on subsequent physical treatment units such as cyclone sand separators, media filters, and self-cleaning mesh filters, extending their cleaning cycles and service life, but more importantly, it provides a fundamental guarantee for the water purification stability of the entire process of the hydrological water resource recycling purification device, enabling the system to better adapt to fluctuations in the quality of the incoming water.

[0068] like Figure 3 and Figure 4 As shown, in a preferred embodiment of the present invention, the control unit includes:

[0069] The influent characteristic evaluation module is connected to the turbidity sensor, water temperature sensor and hardness sensor in the sensing and detection unit. It is used to construct an influent characteristic evaluation model based on the real-time detected influent turbidity, influent water temperature and influent impurity hardness, and output the influent characteristic index.

[0070] The process status assessment module connects the angle sensor, differential pressure sensor, cleaning frequency sensor and pump pool level sensor in the sensing and detection unit. It is used to construct a process status assessment model based on the inlet angle of the cyclone separator, the differential pressure on both sides of the media filter, the cleaning frequency of the self-cleaning mesh filter, and the pump pool level fluctuation rate, and outputs the process status assessment index.

[0071] The water purification stability assessment module is connected to the pressure sensor at the outlet of the water pump, the output terminal of the influent characteristic assessment module, the output terminal of the process status assessment module, and the flow sensor at the inlet of the water storage tank. It is used to construct a water purification stability assessment model based on the water pump outlet pressure, influent characteristic index, process status index, and the coefficient of variation of the influent flow rate of the water storage tank, and output the water purification stability index.

[0072] In this embodiment, the control unit is the core intelligent component of the entire hydrological and water resource recycling and purification device. It is responsible for receiving and processing data, making decisions, and issuing control commands. This control unit can be an embedded controller, such as a hardware platform based on a microcontroller or microprocessor, running specific control algorithms and software programs.

[0073] The influent characteristic assessment module is specifically responsible for analyzing the quality characteristics of the raw water source entering the water treatment system. Through real-time monitoring and evaluation of influent water quality parameters, it quantifies the complexity and volatility of the influent water quality, providing a forward-looking basis for subsequent process adjustments. This module can function as a software subroutine within the control unit or as an independent hardware processing unit. It receives raw data from sensors and applies a preset algorithm to calculate the influent characteristic index. Connecting to the turbidity, temperature, and hardness sensors in the sensing unit ensures that the influent characteristic assessment module can acquire the basic data required for evaluating influent water quality. These sensors transmit real-time collected turbidity, temperature, and hardness data to the control unit via wired or wireless means, where the influent characteristic assessment module processes the data. Based on the real-time detected influent turbidity, temperature, and hardness, an influent characteristic assessment model is constructed, enabling the comprehensive quantification of multi-dimensional influent water quality parameters into a single index that can be used for system decision-making. This model can be constructed using various mathematical or statistical methods, outputting an influent characteristic index. This index provides a standardized, quantitative indicator reflecting the overall condition of the current influent water quality, facilitating unified processing and decision-making by subsequent modules. The index can be a dimensionless value, typically between 0 and 1; a higher value indicates a more complex or worse influent water quality. This index is transmitted to other modules within the control unit via an internal data bus or API interface.

[0074] The process status assessment module focuses on monitoring and evaluating the operating status and processing efficiency of key equipment in the physical treatment unit. Through real-time evaluation of process parameters, it promptly identifies equipment malfunctions or trends of declining processing efficiency, providing a basis for preventative maintenance and optimization. Similar to the influent characteristic assessment module, this module can be a software subroutine within the control unit or an independent hardware unit. It receives process parameter data from sensors and uses specific evaluation algorithms to calculate a process status assessment index. Connecting to angle sensors, differential pressure sensors, cleaning frequency sensors, and pump level sensors in the sensing unit provides the process status assessment module with the crucial data needed to evaluate the physical treatment unit's operating status. These sensors connect to the control unit via standard industrial interfaces, transmitting real-time data such as the influent angle of the cyclone separator, the differential pressure across the media filter, the cleaning frequency of the self-cleaning mesh filter, and the pump level. Based on the cyclone separator influent angle, the differential pressure across the media filter, the cleaning frequency of the self-cleaning mesh filter, and the pump level fluctuation rate, a process status assessment model is constructed. This model integrates multiple parameters reflecting the process operating status into a unified index, enabling a comprehensive assessment of the overall health of the physical treatment process. The output process status assessment index provides a quantitative indicator reflecting the overall operating status of the current physical processing unit, facilitating unified processing and decision-making by subsequent modules. This index can also be a dimensionless value, typically between 0 and 1; a higher value indicates a worse or more unstable process operating status. This index is transmitted to other modules within the control unit via the internal data bus or API interface.

[0075] The water purification stability assessment module is the final evaluator of the overall system performance, comprehensively considering the stability of influent water quality, process operation status, and effluent quality and flow rate. It provides a comprehensive, high-level system water purification stability index as the core basis for macro-control and optimization decisions. This module can also function as a software subroutine within the control unit or as an independent hardware unit. It receives integrated data from other assessment modules and sensors and uses advanced assessment algorithms to calculate the water purification stability index. Connections to the pressure sensor at the pump outlet, the output of the influent characteristic assessment module, the output of the process status assessment module, and the flow sensor at the storage tank inlet ensure that the water purification stability assessment module can acquire all the critical information needed to assess the overall water purification stability of the system. The pressure sensor at the pump outlet and the flow sensor at the storage tank inlet directly transmit data to the control unit. The influent characteristic assessment module and the process status assessment module transmit their respective assessment indices to the water purification stability assessment module through an internal communication mechanism. A water purification stability assessment model is constructed based on the pump outlet pressure, influent characteristic index, process state index, and the coefficient of variation of influent flow rate in the storage tank. This model integrates all key factors affecting the system's water purification stability, forming a comprehensive index that reflects the overall system performance. It directly reflects the stability of the system's current water purification capacity, serving as the core basis for final system decisions and the generation of adjustment commands. This index can also be a dimensionless value, typically between 0 and 1; a higher value indicates higher water purification stability. This index is transmitted to the adjustment module within the control unit via an internal data bus or API interface.

[0076] In a preferred embodiment of the present invention, the influent characteristic evaluation model in the influent characteristic evaluation module is as follows:

[0077] ;

[0078] in This is the turbidity weighting coefficient. This is the water temperature weighting coefficient. This is the hardness weighting coefficient. , as well as All are greater than 0, and ; The turbidity index of the influent. The inlet water temperature index. The hardness index of impurities in the influent. The influent characteristic index;

[0079] in , as well as The method for obtaining the data is as follows: the obtained influent turbidity, influent temperature, and influent impurity hardness are successively substituted into the maximum-minimum value normalization formula for normalization processing.

[0080] In this embodiment, the influent characteristic assessment model is a mathematical expression used to quantitatively assess the characteristics of the water source entering the water treatment system. Its core function is to integrate multiple independent influent water quality parameters into a comprehensive index, thereby providing a unified and comparable indicator to reflect the overall condition of the influent water quality. This model can be implemented as a software algorithm module in the control unit, for example, through a programming language, or calculated using dedicated hardware logic circuits. The formula defines the influent characteristic index. The calculation method uses a product form to calculate the normalized influent turbidity index. Inlet water temperature index and the hardness index of influent impurities A weighted combination is performed. This product form reflects the nonlinear interactions between the parameters, ensuring that significant changes in any parameter can have a noticeable impact on the final influent characteristic index. This formula is typically implemented in the control unit's processor using floating-point operations. This is the turbidity weighting coefficient. This is the water temperature weighting coefficient. These are hardness weighting coefficients, used to adjust the relative importance of different water quality parameters in the assessment of influent characteristics. For example, in some water sources, turbidity may be the main factor affecting filtration efficiency; in this case, hardness can be assigned a weighting factor. Higher values. These weighting coefficients can be determined based on historical operating data, expert experience, or through optimization using machine learning algorithms. Meanwhile, , as well as All are greater than 0, and These conditions ensure that all water quality parameters involved in the assessment contribute to the final influent characteristic index, and that their total weight is 1, making the assessment results comparable and consistent. These conditions are set during model design and serve as the basis for parameter validation during model implementation. The turbidity index of the influent. The inlet water temperature index. These are the influent impurity hardness indices. These indices are the values ​​of the original influent turbidity, influent temperature, and influent impurity hardness after normalization. They convert physical quantities of different dimensions and ranges into a unified dimensionless range to facilitate fair comparison and calculation in the model. The influent characteristic index is the final output of the influent characteristic assessment model, comprehensively reflecting the overall characteristics of the current influent water quality. This index can serve as an input parameter for subsequent assessment modules (such as the water purification stability assessment module) to guide the system in dynamic adjustments. , as well as The data is obtained by substituting the acquired influent turbidity, influent temperature, and influent impurity hardness into the maximum-minimum normalization formula for normalization. Maximum-minimum normalization is a commonly used data preprocessing method, and its formula is typically Xnormalized = (X - Xmin) / (Xmax - Xmin). Here, X represents the original data, and Xmin and Xmax are the historical minimum and maximum values ​​(or preset reasonable ranges) of the parameter, respectively. This normalization method can linearly map the data to the [0,1] interval, eliminating the influence of dimensions and ensuring a more reasonable weight distribution of different parameters in the model. This processing can be implemented in the microprocessor of the control unit using a software algorithm.

[0081] This application addresses the shortcomings in accuracy and consistency of traditional assessment methods by introducing a specific quantitative model into the influent characteristic assessment module of the control unit. This model first acquires real-time raw water quality parameters such as influent turbidity, influent temperature, and influent impurity hardness through a sensing unit. To eliminate differences in the dimensions and numerical ranges of these parameters, the raw data are uniformly substituted into a maximum-minimum normalization formula for processing, thereby obtaining a dimensionless influent turbidity index. Inlet water temperature index and the hardness index of influent impurities These normalized exponents are then input into the product-based evaluation model described above. The model includes preset turbidity weighting coefficients. Water temperature weighting coefficient and hardness weighting coefficient (All values ​​are greater than 0 and sum to 1) This allows the system to flexibly adjust the impact of each water quality parameter on the overall influent characteristics based on the actual application scenario and water source characteristics. For example, when changes in water source turbidity have a significant impact on system operation, the parameters can be appropriately increased. The value of the influent characteristic index is obtained by considering the synergistic effect of multiple water quality parameters in this way, rather than simply adding them together. This quantitative influent characteristic index Subsequently, it can serve as an important input for other evaluation modules in the control unit (such as the water purification stability evaluation module), providing a precise data foundation for the subsequent intelligent regulation of the system. This enables the system to more accurately perceive fluctuations in the influent water quality and respond in a timely manner, thereby improving the adaptability of the entire hydrological and water resource recycling purification device to changes in water quality.

[0082] In a preferred embodiment of the present invention, the process status evaluation model in the process status evaluation module is as follows:

[0083] ;

[0084] in For angle weighting coefficients, This is the pressure difference weighting coefficient. The cleaning frequency weighting coefficient is used. This is the weighting coefficient for liquid level fluctuations. , , as well as All are greater than 0. ; The inlet angle index of the cyclone sand separator. This refers to the pressure difference index across the media filter. This refers to the cleaning frequency index of a self-cleaning mesh filter. The fluctuation rate of the pump pool liquid level. This is a process status index;

[0085] , as well as The method of obtaining the data is as follows: the inlet angle of the cyclone separator, the pressure difference between the two sides of the media filter, and the cleaning frequency of the self-cleaning mesh filter are successively substituted into the maximum-minimum value normalization formula for normalization processing.

[0086] The pump pool level fluctuation rate is calculated by dividing the average absolute deviation of each level sampling value relative to the average level by the average level within the statistical period.

[0087] In this embodiment, the process status assessment model is a mathematical expression used to quantify the operating status of the water treatment system. This model can be implemented as a software module within a control unit, for example, by performing calculations through an application running on an industrial programmable logic controller or industrial personal computer. Alternatively, the model can be deployed on an edge computing device or a cloud server, receiving monitoring data from sensing units via a data interface and outputting assessment results.

[0088] Angle weighting coefficient Pressure difference weighting coefficient Cleaning frequency weighting coefficient and liquid level fluctuation weighting coefficient These are numerical values ​​used to adjust the influence of various input parameters in the process status assessment model. These weight coefficients can be set based on expert experience, for example, by assigning values ​​according to the historical impact of different parameters on system stability; or by optimizing through data-driven methods, such as using historical operating data for training and learning through regression analysis and machine learning algorithms (such as support vector machines and neural networks) to determine the optimal weight combination; or by using an online adaptive adjustment mechanism to dynamically adjust the weights based on real-time system operating feedback.

[0089] Hydrocyclone sand separator inlet angle index This is a normalized representation of the inlet angle of the hydrocyclone sand separator. The inlet angle of the hydrocyclone sand separator can be monitored in real time by an angle sensor installed at the inlet of the hydrocyclone sand separator.

[0090] Differential pressure index across the media filter This is a normalized representation of the pressure difference across the media filter. The pressure difference across the media filter can be monitored in real time by differential pressure sensors installed at the inlet and outlet of the media filter.

[0091] Self-cleaning mesh filter cleaning frequency index This is a normalized representation of the cleaning frequency of a self-cleaning mesh filter. The cleaning frequency of a self-cleaning mesh filter can be obtained by recording the number of cleaning actions and the time for each cleaning cycle, for example, through a cleaning frequency sensor or by directly obtaining the cleaning count from the filter control module.

[0092] Pump pool level fluctuation rate It is an indicator for measuring the stability of the pump pool level. The pump pool level can be continuously monitored by a level sensor installed inside the pump pool. In addition to calculating the average of the absolute deviations of each level sampling value relative to the average level and then dividing by the average level, the level fluctuation rate can also be characterized by calculating the ratio of the standard deviation of the level sampling values ​​within a statistical period to the average level, or by calculating the ratio of the difference between the maximum and minimum levels within a statistical period to the average level.

[0093] The calculation method for pump pool level fluctuation aims to quantify the stability of the pump pool water level. The statistical period can be set according to actual operating requirements, for example, statistical calculations can be performed every 5 minutes, 15 minutes, or 1 hour. Level sampling values ​​can be collected by a level sensor at a fixed frequency (e.g., once per second). The average level can be calculated using an arithmetic mean or a moving average.

[0094] The proposed solution achieves a comprehensive and accurate quantification of the operational status of hydrological and water resource recycling purification devices by constructing a comprehensive process status assessment model. This model incorporates the inlet angle index of the cyclone sand separator. Differential pressure index across the media filter Self-cleaning mesh filter cleaning frequency index and the fluctuation rate of the pump pool liquid level These four key parameters are organically integrated. First, through a maximum-minimum normalization formula, the original inlet angle of the cyclone sand separator, the pressure difference across the media filter, and the cleaning frequency of the self-cleaning mesh filter are converted into dimensionless exponents, eliminating the influence of different physical dimensions on the evaluation results and ensuring the comparability of each parameter in the model. Simultaneously, the calculation method of the pump pool level fluctuation rate directly reflects the stability of the pump pool water flow, providing an important basis for evaluating the operating status of the upstream physical treatment unit.

[0095] Subsequently, these normalized exponents and the calculated level fluctuation rate were substituted into the process condition assessment model in the form of the square root of the sum of squares. This mathematical form effectively balances the influence of various parameters, avoiding excessive deviation of the overall assessment results due to abnormal fluctuations of a single parameter, thereby enhancing the robustness of the assessment results. This is achieved by introducing an angle weighting coefficient. Pressure difference weighting coefficient Cleaning frequency weighting coefficient and liquid level fluctuation weighting coefficient Furthermore, these weighting coefficients are all greater than 0 and sum to 1, allowing the system to flexibly adjust the impact of different parameters on the process state. For example, when the differential pressure of the media filter is considered to have a greater impact on system stability, it can be given a higher weight.

[0096] Ultimately, the model outputs a process state index. This comprehensive evaluation mechanism can fully and accurately reflect the overall operational health of the physical treatment unit, including the sand removal efficiency of the cyclone separator, the filtration load of the media filter, the cleaning requirements of the self-cleaning mesh filter, and the hydraulic stability of the pump pool. This integrated evaluation mechanism overcomes the limitations of traditional methods that rely on only a single parameter, enabling the control unit to detect potential system instability factors earlier and more accurately. This provides a solid data foundation for subsequent intelligent control (such as adjusting the opening ratio of the adjustable perforated rectifier structure and regulating the flow rate of the backwash pump), thereby effectively maintaining the overall water purification stability of the system.

[0097] In a preferred embodiment of the present invention, the water purification stability assessment model in the water purification stability assessment module is as follows:

[0098] ;

[0099] in This is the influent characteristic weighting coefficient. This is the process state weighting coefficient. For pressure deviation weighting coefficient, This is a weighting coefficient for traffic stability. This is the sensitivity coefficient. , , , as well as All are greater than 0. ; The influent characteristic index, This is a process condition index. This refers to the water pump outlet pressure index. The coefficient of variation of the inflow rate of the water storage tank. The water purification stability index;

[0100] The water pump outlet pressure index is obtained by substituting the obtained water pump outlet pressure into a maximum-minimum normalization formula for normalization, resulting in a dimensionless value between 0 and 1. The closer the index is to 1, the closer the water pump outlet pressure is to the optimal value for normal operation; the smaller the index, the further the pressure deviates from the normal operating range. Therefore, in the water purification stability assessment model, the square of (1 minus the water pump outlet pressure index) is used to quantify the degree of pressure deviation from the ideal state. The greater the pressure deviation, the larger the value of this term, and the more significant the negative impact on the water purification stability index.

[0101] The coefficient of variation of the influent flow rate of the water storage tank is obtained by dividing the standard deviation of each flow rate sampling value by the average flow rate within the statistical period.

[0102] In this embodiment, the water purification stability assessment model is a mathematical expression used to quantify the overall water purification stability of the hydrological water resource recycling purification device. Its function is to integrate multi-dimensional parameters, providing a comprehensive view of system performance, thereby overcoming the limitations of traditional single-index assessments. This model can serve as the core algorithm of the water purification stability assessment module in the control unit, implemented through software modules, dedicated processors, or programmable logic devices. It receives various indices as input and calculates and outputs a unified stability score. Its exponential function form ensures that the assessment results are within a specific range and can sensitively reflect changes in the system state. This is the influent characteristic weighting coefficient. This is the process state weighting coefficient. For pressure deviation weighting coefficient, These are configurable parameters representing flow stability weighting coefficients. They determine the relative importance of different factors, such as influent characteristics, process conditions, pressure deviation, and flow stability, in the assessment of water purification stability. By adjusting these coefficients, the system can flexibly prioritize certain key performance indicators based on the actual application scenario, water source characteristics, or operational strategy. For example, in areas with significant water quality fluctuations, the influent characteristic weighting coefficient can be appropriately increased; while in scenarios with high requirements for equipment operating conditions, the process condition weighting coefficient can be increased. These coefficients can be pre-set and stored in the non-volatile memory of the control unit, or they can be dynamically adjusted through system self-learning, expert systems, or operator experience. The sensitivity coefficient is an adjustment factor used to control the speed and extent of the response of the water purification stability assessment model to changes in input parameters. The setting of this coefficient determines the sensitivity of the water purification stability index to internal or external disturbances in the system. A higher sensitivity coefficient allows the assessment results to reflect small changes in the system state more quickly, suitable for scenarios requiring rapid response; while a lower sensitivity coefficient provides more stable assessment results, suitable for scenarios less sensitive to short-term fluctuations. This coefficient is typically set as part of system calibration and can also be optimized based on historical operating data and desired control strategies.

[0103] The influent characteristic index is calculated by the influent characteristic assessment module based on the normalized water quality parameters and their weights. The process status index is calculated by the process status assessment module based on the normalized equipment parameters and their weights, providing key information on the internal operating status of the system for the water purification stability assessment model.

[0104] The pump outlet pressure index is a standardized representation of the pump's outlet pressure. Its purpose is to convert the raw pressure measurement into a dimensionless index, allowing for consistent comparison and calculation with other evaluation parameters. This index reflects the pump's operational stability and fluctuations in the overall system's hydraulic conditions. It is obtained by processing real-time pressure data collected by the pump's outlet pressure sensor using a maximum-minimum normalization formula, resulting in a value between 0 and 1.

[0105] The coefficient of variation (COP) is a statistical indicator used to quantify the relative fluctuation of the influent flow rate to the water storage tank. This coefficient directly reflects the continuity and stability of the water supply from the water treatment system to the storage tank. A higher COP indicates greater flow fluctuations, potentially suggesting instability or uneven water supply in the upstream treatment process. It is obtained by calculating the standard deviation of each flow rate sample collected by the flow sensor at the storage tank inlet within a preset statistical period, and then dividing this standard deviation by the average flow rate over that period to obtain a dimensionless proportionality value.

[0106] The water purification stability assessment module continuously receives and processes operational data from various parts of the system. It acquires the influent characteristic index pre-calculated by the influent characteristic assessment module. This index comprehensively reflects water quality parameters such as influent turbidity, water temperature, and impurity hardness. Simultaneously, it receives process status indices from the process status assessment module. This index integrates equipment operating status information such as the inlet angle of the cyclone separator, the pressure difference across the media filter, the cleaning frequency of the self-cleaning mesh filter, and the fluctuation rate of the pump pool level. Based on this, the module also directly acquires pressure sensor data from the pump outlet and performs maximum-minimum value normalization to generate the pump outlet pressure index. This allows for the quantification of the operational stability of the water pump. Furthermore, it acquires flow data from a flow sensor at the water inlet of the storage tank and calculates the coefficient of variation of the water inlet flow rate within a statistical period. These are used to assess the volatility of water supply flow. These standardized and integrated indices ( , , , This data is then input into the water purification stability assessment model. This model uses an exponential function, with preset influent characteristic weighting coefficients. Process status weighting coefficient Pressure deviation weighting coefficient and traffic stability weighting coefficient and sensitivity coefficient By weighting and combining various indices and performing nonlinear transformations, a water purification stability index between 0 and 1 is finally output. This comprehensive evaluation mechanism enables the control unit to transcend the limitations of a single parameter and fully perceive the health status of the system across multiple dimensions, including water quality, equipment operation, hydraulic stability, and water supply continuity.

[0107] like Figure 3 and Figure 4 As shown, in a preferred embodiment of the present invention, the control unit further includes:

[0108] An adjustable perforated rectifier structure adjustment module is connected to the output of the water purification stability assessment module, and is also connected to the aperture ratio feedback signal of the adjustable perforated rectifier structure, the output of the influent characteristic assessment module, and the pump pool level sensor. When the water purification stability index exceeds a first preset threshold, it constructs an aperture adjustment model based on the current aperture ratio of the adjustable perforated rectifier structure, the influent characteristic index, and the pump pool level fluctuation rate, outputs the target aperture ratio, and sends a command to the actuator of the adjustable perforated rectifier structure for adjustment.

[0109] The backwash control module is connected to the output of the water purification stability assessment module, and is also connected to the preset backwash pump flow signal, the output of the process status assessment module, and the differential pressure sensors on both sides of the media filter. When the water purification stability index exceeds the second preset threshold, it constructs a backwash control model based on the preset basic backwash pump flow, the process status index, and the differential pressure on both sides of the media filter, outputs the target backwash pump flow, and sends a command to the backwash pump for flow adjustment.

[0110] In this embodiment, the adjustable perforated rectifier structure adjustment module is a functional unit within the control unit. Its main function is to dynamically adjust the adjustable perforated rectifier structure in the physical processing unit based on the system's operating status and evaluation results. This module can be an independent hardware circuit board integrating a microcontroller, memory, and communication interface for receiving data, executing algorithms, and outputting control signals; alternatively, its functions can be integrated as a software module into the firmware of the main controller, enabling data processing, model calculation, and command transmission through programming. This module is connected to the output of the water purification stability assessment module, allowing it to acquire the water purification stability index calculated by the module. This connection can transmit data via an internal bus, enabling data sharing between the two modules within the same main controller; alternatively, if the module is an independent hardware unit, data communication can be achieved through a serial communication interface or an Ethernet interface. Meanwhile, the module is connected to the aperture ratio feedback signal of the adjustable perforated rectifier structure. This feedback signal is usually generated by a position sensor (e.g., encoder, potentiometer, Hall sensor, etc.) installed on the adjustable perforated rectifier structure and transmitted to the adjustment module in the form of analog or digital signals to understand the actual status of the current aperture ratio in real time.

[0111] In addition, this module is connected to the output of the influent characteristic assessment module to obtain the influent characteristic index calculated by the influent characteristic assessment module, ensuring that the regulating module can promptly obtain key parameters reflecting the influent water quality status. This module is also connected to the pump pool level sensor to obtain real-time pump pool level data monitored by the sensor. Various types of pump pool level sensors can be used, such as float-type, ultrasonic, hydrostatic, or radar level sensors, and their output signals are connected to the regulating module via analog or digital input interfaces. When the purified water stability index exceeds a first preset threshold, this module is activated. This indicates a trigger condition, meaning that the adjustable perforated rectifier structure's regulation process is initiated only when the overall purified water stability of the system drops to a certain level. The first preset threshold is a configurable parameter that can be set based on actual operating experience, water quality requirements, or system design goals. This module constructs an orifice adjustment model based on the current orifice ratio of the adjustable perforated rectifier structure, the influent characteristic index, and the pump pool level fluctuation rate. This model is a mathematical model or algorithm that comprehensively considers the actual value of the current orifice ratio, the influent characteristic index reflecting the influent water quality, and the pump pool level fluctuation rate reflecting the pump pool hydraulic condition, aiming to calculate the optimal target orifice ratio. The target orifice ratio calculated by the model is then output and converted into control commands, which are sent to the actuator of the adjustable perforated rectifier structure for adjustment. The actuator typically includes a driver 4 (e.g., a stepper motor, servo motor, or hydraulic / pneumatic actuator) and a corresponding transmission device for precisely changing the orifice size of the adjustable perforated rectifier structure.

[0112] The backwash control module is another functional unit within the control unit, specifically responsible for optimizing the control of the differential pressure sensors on both sides of the media filter based on system status and evaluation results. It can be implemented as a standalone hardware module, including a microcontroller and necessary interfaces, or as a software module integrated into the main controller's firmware, responsible for regulating the backwash pump flow. This module also connects to the output of the water purification stability assessment module to obtain its output as one of the conditions for triggering backwash regulation. This module connects to a preset backwash pump flow signal, typically determined based on the media filter's design parameters and experience, serving as a benchmark for backwash flow regulation. This signal can be stored in the module's memory or configured via a human-machine interface. Furthermore, this module connects to the output of the process status assessment module to obtain the process status assessment index calculated by the module, providing crucial information for the dynamic adjustment of the backwash flow. This module also connects to the differential pressure sensors on both sides of the media filter to obtain real-time differential pressure data. The differential pressure sensors typically employ differential pressure transmitters, converting the differential pressure into a standard electrical signal, which is connected to the control module via an analog input interface to determine the degree of clogging in the media filter. This module is activated when the water purification stability index exceeds the second preset threshold. This means that the backwash pump flow regulation process is only initiated when the overall water purification stability of the system drops to a certain level. The second preset threshold is also a configurable parameter that can be set based on actual operating experience, filtration effect requirements, or system design goals. This module constructs a backwash control model based on the preset basic backwash pump flow rate, process state index, and pressure difference across the media filter. This model is a mathematical model or algorithm that comprehensively considers the preset basic backwash pump flow rate, the process state index reflecting the equipment's operating status, and the pressure difference across the media filter reflecting the degree of filter clogging, aiming to calculate the optimal target backwash pump flow rate. The target backwash pump flow rate calculated by the model is then output and converted into control commands, which are sent to the backwash pump for flow regulation. The backwash pump is typically equipped with a frequency converter or speed-regulating motor, which adjusts its speed by receiving control commands, thereby changing the backwash flow rate.

[0113] As the core of the hydrological and water resource recycling purification device, the control unit achieves refined and dynamic maintenance of the system's overall water purification stability by introducing an adjustable perforated rectifier structure adjustment module and a backwash control module. During system operation, the water purification stability assessment module continuously outputs a water purification stability index. Once this index exceeds a first preset threshold, indicating a downward trend in the overall water purification stability, the adjustable perforated rectifier structure adjustment module is activated. This module does not simply perform fixed adjustments but comprehensively considers multiple factors: it receives the aperture ratio feedback signal from the adjustable perforated rectifier structure itself to understand the current structural state; simultaneously, it acquires the influent characteristic index output by the influent characteristic assessment module to grasp real-time changes in influent water quality; and it combines this with the pump pool level fluctuation rate provided by the pump pool level sensor to assess the dynamic state of the water flow inside the pump pool. Based on this real-time data, the module constructs an aperture adjustment model to accurately calculate the target aperture ratio. Subsequently, it sends the adjustment command to the actuator of the adjustable perforated rectifier structure, driving it to adjust the aperture ratio. This adjustment mechanism proactively optimizes the flow pattern within the pump pool, reducing adverse effects such as eddies and short-circuiting caused by fluctuations in influent water quality or changes in pump pool level. This provides more stable influent conditions for subsequent physical treatment units such as cyclone separators and media filters, effectively reducing their processing load and improving the adaptability of upstream treatment processes to water quality fluctuations. Simultaneously, when the purified water stability index exceeds a second preset threshold, the backwash control module is activated to optimize the backwashing process of the media filter. This module receives a preset baseline backwash pump flow signal as an adjustment benchmark and acquires the process status index output by the process status assessment module to comprehensively understand the operational health of the physical treatment units. Furthermore, it monitors the differential pressure sensor data on both sides of the media filter in real time, directly reflecting the degree of filter clogging. Combining this information, the backwash control module constructs a backwash control model and dynamically calculates the target backwash pump flow rate. Subsequently, it sends flow adjustment commands to the backwash pump, allowing it to adjust the backwash flow rate according to actual needs.

[0114] In a preferred embodiment of the present invention, the aperture adjustment model in the adjustable perforated rectifier structure adjustment module is as follows:

[0115] ;

[0116] in Given the current aperture ratio, This is the proportional adjustment coefficient. The differential adjustment coefficient is... , All are greater than 0. The water purification stability index, The first preset threshold, The rate of change of the pump pool liquid level fluctuation. The target open area ratio.

[0117] In this embodiment, the aperture adjustment model is a mathematical expression used to calculate the target aperture ratio of the adjustable perforated rectifier structure. Its function is to dynamically adjust the aperture size of the adjustable perforated rectifier structure according to the real-time operating status of the system, thereby maintaining the stability of the pump pool liquid level and the purified water stability of the subsequent treatment units. Current aperture ratio This refers to the actual opening size of the adjustable perforated rectifier structure at the current moment. Its value can be obtained in real time by a position sensor or encoder installed on the adjustable perforated rectifier structure, serving as a reference point for adjustment. Proportional adjustment coefficient. It is a positive constant used to measure the system's water purification stability index. With the first preset threshold The magnitude of the response strength to the deviation between the two factors determines the aggressiveness of the adjustment. (Derivative adjustment coefficient) It is also a positive constant used to measure the system's response to changes in the pump pool level fluctuation rate. The response intensity, the magnitude of which determines the system's ability to predict and compensate for changes in liquid level. Water purification stability index. It is a comprehensive evaluation index of the overall water purification stability of the system. Its value is output by the water purification stability evaluation module and reflects the current health status of the water treatment system. First preset threshold. This is a pre-set expected or minimum acceptable value for the water purification stability index, typically configured based on actual operating experience and water quality requirements, serving as the basis for determining whether system adjustments are needed. Pump pool level fluctuation rate. This represents the rate of change of the pump pool level over time. Its value can be obtained by differential or fitting calculations of continuously collected data from the pump pool level sensor, and is used to predict future trends in the level. Target orifice ratio. The ideal aperture size that the adjustable perforated rectifier structure should be adjusted to, calculated based on the above model, is sent as an instruction to the actuator to drive the adjustable perforated rectifier structure to make physical adjustments.

[0118] The solution in this application achieves precise and dynamic control of the aperture ratio of the adjustable perforated rectifier structure by introducing the aforementioned aperture adjustment model. This model uses the current aperture ratio... This ensures the continuity and stability of the adjustment process. Among these, the proportional term... According to the water purification stability index With the first preset threshold Adjust the deviation between them. When the system's water purification stability index... Deviation from preset threshold When this occurs, the proportional term will generate an adjustment amount proportional to the magnitude of the deviation, thereby quickly correcting deviations in system stability. For example, if the water purification stability index... Higher than the first preset threshold A stable water quality index indicates that the system is operating relatively stably. In this case, it may be appropriate to increase the orifice ratio to improve processing efficiency; conversely, if the water quality stability index is low... Below the first preset threshold This might necessitate reducing the aperture ratio to enhance rectification and improve stability. Meanwhile, the differential term... This approach incorporates consideration of the rate of change in pump pool level fluctuations, enabling the system to predict pump pool level trends. For example, when the pump pool level shows a rapid upward trend, the differential term pre-calculates a positive adjustment, increasing the orifice ratio to cope with the impending level rise, preventing overflow or maintaining a stable influent flow rate. Conversely, when the level drops rapidly, the orifice ratio decreases. This combination of the immediate response of proportional control and the predictive compensation mechanism of differential control allows the adjustable perforated rectifier structure to adjust the orifice ratio more intelligently and precisely, effectively maintaining the stability of the water flow within the pump pool and thus ensuring the water purification stability of the entire physical treatment unit. This model works closely with the sensing and detection unit, influent characteristic evaluation module, process status evaluation module, and water purification stability evaluation module in the control unit to form a closed-loop control system. This allows the system to finely adjust key components in the physical treatment unit based on real-time monitoring data and comprehensive evaluation results, significantly improving the system's adaptability to influent water quality fluctuations and overall operational stability.

[0119] In a preferred embodiment of the present invention, the backwash control model in the backwash control module is as follows:

[0120] ;

[0121] in This is the flow compensation coefficient. , To preset the basic backflush pump flow rate, This refers to the pressure difference index across the media filter. This is a normalized threshold representing the upper limit of the differential pressure allowed for normal operation. The water purification stability index, The second preset threshold, The target flow rate for backwashing.

[0122] In this embodiment, the target backwash flow rate This refers to the actual flow rate that the backwash pump should output under current operating conditions. This flow rate is dynamically calculated based on the real-time operating status of the system, aiming to ensure effective cleaning of the media filter while avoiding resource waste caused by excessive backwashing. This can be achieved by sending a frequency adjustment command to the backwash pump's inverter or by adjusting the opening of the electric valve at the backwash pump outlet.

[0123] Preset basic backflush pump flow rate This refers to a standard backwash flow rate set for a media filter when the system is operating normally and the water quality and equipment are under ideal or baseline conditions. This baseline flow rate is usually determined based on the media filter's design parameters, filter media characteristics, and empirical values, serving as a reference point for adjusting the backwash flow rate.

[0124] Flow compensation coefficient This is a positive adjustment parameter used to adjust the influence of differential pressure deviation and purified water stability on the backwash flow compensation term. This coefficient can be determined based on actual operating experience, system response characteristics, or through system debugging and optimization to balance the intensity of backwashing and system stability.

[0125] Differential pressure index across the media filter This index is a normalized version of the pressure difference across the media filter, reflecting the current degree of clogging. A larger pressure difference indicates more impurities trapped inside the filter, and a more severe blockage. This index is obtained by substituting the real-time pressure difference value detected by the pressure sensor across the media filter into a maximum-minimum normalization formula.

[0126] Normalized threshold for the upper limit of differential pressure allowed during normal operation This refers to the normalized value of the maximum allowable differential pressure of the media filter under normal operating conditions. When the actual differential pressure exceeds this threshold, it usually means that the filter needs backwashing. This threshold is set during system design based on filter performance and operating requirements.

[0127] Water Purification Stability Index The water purification stability assessment module calculates the results based on multiple parameters, including the pump outlet pressure, influent characteristic index, process status index, and coefficient of variation of influent flow rate in the water storage tank.

[0128] Second preset threshold This is a critical value used to determine whether the system's water purification stability requires backwashing flow adjustment. When the water purification stability index is below this threshold, it indicates a decline in system stability, requiring more aggressive backwashing adjustments to restore stability.

[0129] The solution proposed in this application achieves precise adjustment of the backwash pump flow rate by constructing a dynamically compensated backwash control model. This model uses a preset base backwash pump flow rate. Based on this, a compensation term is introduced that comprehensively considers the pressure difference index across the media filter. Normalized threshold of the upper limit of the differential pressure allowed under normal operation The deviation between them, and the water purification stability index With the second preset threshold The relative relationship. Specifically, when the pressure difference index across the media filter... Normalized threshold for differential pressure exceeding the allowable upper limit under normal operation When the pressure difference index is high, it indicates that the filter clogging has increased, requiring a larger backwash flow rate to remove impurities; conversely, if the pressure difference index is below the threshold, the compensation term may decrease. The model also incorporates a purified water stability index. With the second preset threshold The ratio is used as an adjustment factor. When the system's water purification stability index... At lower levels (i.e., when system stability decreases), this ratio decreases, making the adjustment effect of the compensation term on the backwash flow rate more significant, thus prompting the system to backwash more actively to restore stability. Flow compensation coefficient This is used to adjust the intensity of this compensation. In this way, the backwash control module can dynamically calculate the optimal backwash target flow rate based on the actual clogging status of the media filter and the overall water purification stability of the system. The system sends commands to the backwash pump to adjust the flow rate. This dynamic adjustment mechanism, based on multi-parameter comprehensive evaluation, ensures that the backwash process is no longer simply triggered by differential pressure, but is closely linked to the overall system operating status. This avoids insufficient or excessive backwashing, improves backwashing efficiency, reduces energy and water consumption, and effectively extends the service life of the media filter. This solution works in conjunction with the water purification stability assessment module and process status assessment module in the control unit, enabling the system to perceive and respond to water quality fluctuations and equipment status changes from a global perspective, thereby maintaining the water purification stability of the entire system process.

[0130] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A hydrological water resource recycling and purification device, characterized in that, include: The physical treatment unit includes a water pump, a pump pool, a cyclone sand separator, a media filter, a self-cleaning mesh filter, and a water storage tank connected in sequence along the water flow direction; wherein, the pump pool is provided with a submerged baffle and an adjustable perforated rectifier structure in sequence, the media filter is connected to a backwash pump, and the inlet of the backwash pump is connected to the water storage tank. The sensing and detection unit includes multiple sensors installed in various parts of the physical processing unit for real-time monitoring of water quality parameters, equipment status parameters, and hydraulic parameters. The control unit, which connects the adjustable components in the sensing and detection unit and the physical processing unit, is used to receive monitoring data from the sensing and detection unit, construct multiple evaluation models based on the monitoring data and output corresponding evaluation indicators, and generate opening rate adjustment commands for the adjustable perforated rectifier structure and flow rate adjustment commands for the backwash pump based on the comparison results of the output evaluation indicators and preset thresholds, so as to maintain the water purification stability of the entire system process.

2. The hydrological water resource recycling and purification device according to claim 1, characterized in that, The adjustable perforated rectification structure includes a water-blocking orifice plate (2) fixedly installed with the pump pool water storage tank (1) and a sliding orifice plate (3) slidably engaged with the water-blocking orifice plate (2). The sliding orifice plate (3) and the water-blocking orifice plate (2) are respectively provided with water passage holes. A driver (4) is fixedly connected to the water-blocking orifice plate (2), and the output shaft of the driver (4) is threadedly connected to the sliding orifice plate (3). The sliding orifice plate (3) can slide relative to the water-blocking orifice plate (2), thereby adjusting the flow area between the sliding orifice plate (3) and the water-blocking orifice plate (2).

3. The hydrological water resource recycling and purification device according to claim 1, characterized in that, The control unit includes: The influent characteristic evaluation module is connected to the turbidity sensor, water temperature sensor and hardness sensor in the sensing and detection unit. It is used to construct an influent characteristic evaluation model based on the real-time detected influent turbidity, influent water temperature and influent impurity hardness, and output the influent characteristic index. The process status assessment module connects the angle sensor, differential pressure sensor, cleaning frequency sensor and pump pool level sensor in the sensing and detection unit. It is used to construct a process status assessment model based on the inlet angle of the cyclone separator, the differential pressure on both sides of the media filter, the cleaning frequency of the self-cleaning mesh filter, and the pump pool level fluctuation rate, and outputs the process status assessment index. The water purification stability assessment module is connected to the pressure sensor at the outlet of the water pump, the output terminal of the influent characteristic assessment module, the output terminal of the process status assessment module, and the flow sensor at the inlet of the water storage tank. It is used to construct a water purification stability assessment model based on the water pump outlet pressure, influent characteristic index, process status index, and the coefficient of variation of the influent flow rate of the water storage tank, and output the water purification stability index.

4. The hydrological water resource recycling and purification device according to claim 3, characterized in that, In the influent characteristic evaluation module, the influent characteristic index is obtained in the following way: The normalized influent turbidity index, influent temperature index, and influent impurity hardness index are used as bases, and exponents are calculated using the corresponding preset positive weight coefficients. The results of the three exponentiations are then multiplied to obtain the influent characteristic index. The sum of each weight coefficient is 1. The influent turbidity index, influent temperature index, and influent impurity hardness index are obtained by substituting the obtained influent turbidity, influent temperature, and influent impurity hardness into the maximum-minimum normalization formula for normalization.

5. The hydrological water resource recycling and purification device according to claim 4, characterized in that, In the process status assessment module, the process status index is obtained in the following ways: The normalized hydrocyclone sand separator inlet angle index, the pressure difference index across the media filter, and the self-cleaning mesh filter cleaning frequency index are squared and multiplied by their corresponding preset positive weighting coefficients. Then, the square of the pump pool level fluctuation rate is multiplied by its corresponding preset positive weighting coefficient. The sum of the above four products is then taken as the square root to obtain the process state index. The sum of each weighting coefficient is 1. The inlet angle index of the cyclone sand separator, the pressure difference index across the media filter, and the cleaning frequency index of the self-cleaning mesh filter are obtained by substituting the obtained inlet angle of the cyclone sand separator, the pressure difference across the media filter, and the cleaning frequency of the self-cleaning mesh filter into the maximum-minimum value normalization formula for normalization. The pump pool level fluctuation rate is calculated by dividing the average absolute deviation of each level sampling value relative to the average level by the average level within the statistical period.

6. The hydrological water resource recycling and purification device according to claim 5, characterized in that, In the water purification stability assessment module, the water purification stability index is obtained through the following methods: The weighted sum of squares is obtained by multiplying the squares of the influent characteristic index, the squares of the process state index, the squares of (1 minus the pump outlet pressure index), and the squares of the coefficient of variation of the influent flow rate of the water storage tank by the corresponding preset positive weighting coefficients. The weighted sum of squares is multiplied by a preset sensitivity coefficient, and then the negative exponent of the product is calculated. Finally, the negative exponent is subtracted from 1 to obtain the water purification stability index; wherein the sum of each weight coefficient is 1. The method for obtaining the water pump outlet pressure index is as follows: substitute the obtained water pump outlet pressure into the maximum-minimum value normalization formula for normalization processing. The coefficient of variation of the influent flow rate of the water storage tank is obtained by dividing the standard deviation of each flow rate sampling value by the average flow rate within the statistical period.

7. The hydrological and water resource recycling and purification device according to claim 1, characterized in that, The control unit further includes: An adjustable perforated rectifier structure adjustment module is connected to the output of the water purification stability assessment module, and is also connected to the aperture ratio feedback signal of the adjustable perforated rectifier structure, the output of the influent characteristic assessment module, and the pump pool level sensor. When the water purification stability index exceeds a first preset threshold, it constructs an aperture adjustment model based on the current aperture ratio of the adjustable perforated rectifier structure, the influent characteristic index, and the pump pool level fluctuation rate, outputs the target aperture ratio, and sends a command to the actuator of the adjustable perforated rectifier structure for adjustment. The backwash control module is connected to the output of the water purification stability assessment module, and is also connected to the preset backwash pump flow signal, the output of the process status assessment module, and the differential pressure sensors on both sides of the media filter. When the water purification stability index exceeds the second preset threshold, it constructs a backwash control model based on the preset basic backwash pump flow, the process status index, and the differential pressure on both sides of the media filter, outputs the target backwash pump flow, and sends a command to the backwash pump for flow adjustment.

8. The hydrological water resource recycling and purification device according to claim 7, characterized in that, In the adjustable perforated rectifier structure adjustment module, the target aperture ratio is obtained through the following method: Based on the current opening ratio, a proportional adjustment term determined by the deviation of the water purification stability index from the first preset threshold and a differential adjustment term determined by the rate of change of the pump pool liquid level fluctuation are added to obtain the target opening ratio. The proportional adjustment term is the product of the preset proportional adjustment coefficient and the deviation amount, and the differential adjustment term is the product of the preset differential adjustment coefficient and the rate of change of the pump pool liquid level fluctuation.

9. The hydrological water resource recycling and purification device according to claim 8, characterized in that, In the backwash control module, the target backwash flow rate is obtained in the following way: Based on the preset basic backwash pump flow rate, an adjustment factor is multiplied by a normalized threshold determined by the ratio of the pressure difference index across the media filter to the upper limit of the pressure difference allowed for normal operation and the ratio of the water purification stability index to the second preset threshold to obtain the backwash target flow rate. The adjustment factor is 1 plus the product of the preset flow compensation coefficient, the deviation, and the ratio.

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