A dynamic feedback multi-stage water purification method and device

Abstract

The application discloses a kind of dynamic feedback multistage water purification device and method, the device includes: water inlet, first electromagnetic valve, filtration module, second electromagnetic valve, purification module, control module, water quality measurement module;The purification module is used to purify the effluent of the filtration module;Water quality measurement module is arranged at the outlet of the purification module;The water quality measurement module is used to measure the water quality information set of the effluent of the purification module;The control module is connected with the water quality measurement module, and is used to control the opening of the first electromagnetic valve and second electromagnetic valve according to the water quality information set.

Description

Technical Field

[0001] This invention relates to the fields of water purification, intelligent feedback control, and strategy optimization, specifically to a dynamic feedback multi-stage water purification method and apparatus. Background Technology

[0002] As people's living standards improve, their requirements for drinking water quality are also increasing. Traditional water purification devices typically employ multi-stage filtration and purification to treat raw water to meet drinking standards. However, existing technologies have several problems. First, traditional water purification devices cannot monitor water quality changes in real time during operation, nor can they dynamically adjust the purification process based on the real-time water quality status. For example, when the raw water quality fluctuates significantly, the filtration and purification effects may be affected, leading to unstable effluent quality. Second, the control of solenoid valves in existing water purification devices is relatively simple, usually only controlling the opening and closing based on preset time or flow rates, without considering the impact of factors such as water pressure on the purification effect. This may result in unreasonable solenoid valve opening under unstable water pressure, thus affecting the performance of the entire water purification system and the quality of the effluent. Furthermore, the water quality assessment methods in existing technologies are relatively simplistic, typically just comparing measured water quality parameters with standard values ​​without in-depth analysis of the interrelationships and trends between water quality parameters, failing to accurately reflect the overall state of water quality. Summary of the Invention

[0003] This invention primarily addresses the problem of how to accurately control the water purification process based on factors such as water quality and internal water pressure of the water purifier. This invention discloses a dynamic feedback multi-stage water purification method and device.

[0004] In a first aspect, the present invention discloses a dynamic feedback multi-stage water purification device, comprising: a water inlet, a first solenoid valve, a filtration module, a second solenoid valve, a purification module, a control module, and a water quality measurement module;

[0005] The inlet of the water inlet is used to receive raw water; the filtration module is used to filter the raw water; and the purification module is used to purify the water effluent from the filtration module.

[0006] The two ends of the first solenoid valve are connected to the outlet of the water inlet and the inlet of the filter module, respectively.

[0007] The two ends of the second solenoid valve are connected to the outlet of the filter module and the inlet of the purification module, respectively.

[0008] A water quality measurement module is installed at the outlet of the purification module;

[0009] The water quality measurement module is used to measure and obtain a set of water quality information of the effluent from the purification module; the set of water quality information includes pH value sequence, dissolved oxygen value sequence, turbidity value sequence, conductivity value sequence, and TDS value sequence.

[0010] The control module is connected to the water quality measurement module and is used to control the opening degree of the first solenoid valve and the second solenoid valve according to the water quality information set.

[0011] The first solenoid valve is equipped with a first water pressure sensor and a first communication module; the first water pressure sensor is used to measure the first water pressure value sequence inside the first solenoid valve and send the first water pressure value sequence to the first communication module.

[0012] The first communication module is used to send the first water pressure value sequence to the control module;

[0013] The second solenoid valve is equipped with a second water pressure sensor and a second communication module. The second water pressure sensor is used to measure the second water pressure value sequence inside the second solenoid valve and send the second water pressure value sequence to the second communication module.

[0014] The second communication module is used to send the second water pressure value sequence to the control module.

[0015] The control module, based on the water quality information set, controls the opening degree of the first and second solenoid valves, including:

[0016] The water quality information set is evaluated and processed to obtain a water quality assessment information set;

[0017] Control parameters are calculated from the water quality assessment information set, the first water pressure value sequence, and the second water pressure value sequence to obtain a set of intermediate control quantities;

[0018] Based on the set of intermediate control quantities, the first water pressure value sequence and the second water pressure value sequence are subjected to control transformation processing to obtain the opening value of the first solenoid valve and the opening value of the second solenoid valve.

[0019] The opening values ​​of the first solenoid valve and the second solenoid valve are used to set the opening degrees of the first solenoid valve and the second solenoid valve, respectively.

[0020] A second aspect of this invention discloses a dynamic feedback multi-stage water purification method, implemented using the aforementioned dynamic feedback multi-stage water purification device, comprising:

[0021] S1, receive raw water through the inlet of the water inlet;

[0022] S2, The raw water is filtered using the filtration module;

[0023] S3, using the purification module to purify the water effluent from the filtration module;

[0024] S4, using the water quality measurement module, measure and obtain a set of water quality information of the effluent from the purification module;

[0025] S5, using the control module, the opening degree of the first solenoid valve and the second solenoid valve is controlled according to the water quality information set.

[0026] The step of controlling the opening degree of the first and second solenoid valves based on the water quality information set includes:

[0027] S51, The water quality information set is evaluated and processed to obtain a water quality evaluation information set;

[0028] S52, calculate the control parameters for the water quality assessment information set, the first water pressure value sequence, and the second water pressure value sequence to obtain a set of control intermediate quantities;

[0029] S53, based on the set of intermediate control quantities, perform control transformation processing on the first water pressure value sequence and the second water pressure value sequence to obtain the opening value of the first solenoid valve and the opening value of the second solenoid valve.

[0030] S54, using the opening value of the first solenoid valve and the opening value of the second solenoid valve, the opening degree of the first solenoid valve and the second solenoid valve are set respectively.

[0031] The process of evaluating the water quality information set to obtain a water quality assessment information set includes:

[0032] S5101, obtain standard values ​​for pH, dissolved oxygen, turbidity, conductivity, and TDS;

[0033] S5102, for each sequence in the water quality information set, subtract the corresponding standard value to obtain the corresponding difference sequence;

[0034] S5103, using all the difference sequences as row vectors, constructs the difference matrix;

[0035] S5104, perform cross-correlation calculation on all row vectors of the difference matrix to obtain a cross-correlation matrix; the elements of the i-th row and j-th column of the cross-correlation matrix are the cross-correlation values ​​between the i-th row vector and the j-th row vector of the difference matrix;

[0036] S5105, For each sequence in the water quality information set, perform an exponential difference operation with the corresponding standard value to obtain the corresponding exponential difference sequence;

[0037] S5106, using all the exponential difference sequences, construct the exponential difference matrix;

[0038] S5107, calculate the cross-covariance of all row vectors of the difference matrix and the exponential difference matrix to obtain the cross-covariance matrix;

[0039] S5108, Perform first feature calculation on the cross-correlation matrix and cross-covariance matrix to obtain the first feature matrix;

[0040] S5109, eigenvalues ​​are calculated on the first feature matrix to obtain an eigenvalue set; all eigenvalues ​​in the eigenvalue set are arranged in descending order of value to obtain a water quality assessment vector;

[0041] S5110, Perform norm value calculation on the first feature matrix, and determine the calculated norm value as the water quality assessment value.

[0042] S5111, using the water quality assessment vector and water quality assessment value, a water quality assessment information set is constructed.

[0043] The calculation expression for the first feature is:

[0044]

[0045] The singular value decomposition expression of the cross-covariance matrix S0 is as follows: U s , Δ, V s Let R0 represent the left, middle, and right matrices of the singular value decomposition of S0, respectively, where R0 is the cross-correlation matrix and A is the first characteristic matrix.

[0046] The expression for the exponential difference operation is:

[0047]

[0048] in, Let y be the i-th element of the exponential difference sequence. i Let y0 be the i-th element of the sequence of the water quality information set, and let y0 be the standard value corresponding to the sequence of the water quality information set.

[0049] The process of calculating control parameters from the water quality assessment information set, the first water pressure value sequence, and the second water pressure value sequence to obtain a set of intermediate control quantities includes:

[0050] S521, obtain the first standard water pressure inside the first solenoid valve and the second standard water pressure inside the second solenoid valve.

[0051] S522, Subtract the first water pressure value sequence and the second water pressure value sequence from the first standard water pressure and the second standard water pressure respectively to obtain the first water pressure difference sequence and the second water pressure difference sequence;

[0052] S523, using the acquisition time of the first water pressure value sequence as the independent variable and the first water pressure difference sequence as the dependent variable, perform function fitting on the independent variable and the dependent variable to obtain the first difference function;

[0053] S524, using the acquisition time of the second water pressure value sequence as the independent variable and the second water pressure difference sequence as the dependent variable, perform function fitting on the independent variable and the dependent variable to obtain the second difference function;

[0054] S525, Perform feature transformation on the first difference function and the second difference function to obtain the transformation function;

[0055] S526, The water quality assessment value is used as the input quantity and input into the transformation function to obtain the first control intermediate quantity k1;

[0056] S527, Perform a first fusion calculation on the transformation function and the water quality assessment vector to obtain the second control intermediate quantity k2;

[0057] S528, perform a second fusion calculation on the water quality assessment vector, the first water pressure difference sequence and the second water pressure difference sequence to obtain the third control intermediate quantity k3.

[0058] The expression for the first fusion calculation is:

[0059] k2=1+β0∫|T(γ)|dγ,

[0060] Where β0 is the mean of the water quality assessment vector;

[0061] The expression for the second fusion calculation is:

[0062]

[0063] Where M is the length of the water quality assessment vector, ε 1i and ε 2i These are the i-th terms of the first and second water pressure difference sequences, respectively, β i Let i be the i-th term of the water quality assessment vector.

[0064] The calculation expression for the control transformation process is:

[0065]

[0066] F1(t) = K1(0)[1 + L2(v1(t))],

[0067] F2(t)=K2(0)exp(-|v2(t)|),

[0068] Where v1(t) and v2(t) are the first control output value and the second control output value at time t, K1(0) is the preset initial opening degree of the first solenoid valve, K2(0) is the preset initial opening degree of the second solenoid valve, L2() is the second-order Legendre function, and F1(t) and F2(t) are the opening degree values ​​of the first solenoid valve and the second solenoid valve at time t, respectively.

[0069] The beneficial effects of this invention are as follows:

[0070] The dynamic feedback multi-stage water purification device and method of this invention, by incorporating a water quality measurement module, can measure the water quality information set of the purified water in real time, including key water quality parameters such as pH value, dissolved oxygen value, turbidity value, conductivity value, and TDS value, thus solving the problem of not being able to monitor water quality changes in real time in existing technologies. The control module dynamically controls the opening of the first and second solenoid valves based on the water quality information set, achieving precise adjustment of the water purification process and ensuring the stability and reliability of the effluent water quality even when the raw water quality fluctuates. Simultaneously, the water pressure sensors and communication modules installed inside the first and second solenoid valves can monitor water pressure changes in real time and transmit the data to the control module. The control module comprehensively considers the water quality and water pressure information to calculate control parameters, solving the performance instability problem caused by the failure to consider water pressure factors in the solenoid valve control of existing technologies.

[0071] The water quality assessment method of this invention performs multi-dimensional analysis and calculation on the water quality information set, including the construction of difference matrices, cross-correlation matrices, exponential difference matrices, cross-covariance matrices, etc., and the calculation of eigenvalues, norm values, etc., which can comprehensively and accurately assess the overall state of water quality, provide a scientific basis for the dynamic control of solenoid valves, improve the accuracy and reliability of water quality assessment, and thus further improve the performance and effluent quality of the entire water purification device. Attached Figure Description

[0072] Figure 1 This is a schematic diagram of the device of the present invention;

[0073] Figure 2 This is a flowchart illustrating the implementation of the method of the present invention. Detailed Implementation

[0074] To better understand the content of this invention, an embodiment is provided here.

[0075] Figure 1 This is a schematic diagram of the device of the present invention; Figure 2 This is a flowchart illustrating the implementation of the method of the present invention.

[0076] In a first aspect, the present invention discloses a dynamic feedback multi-stage water purification device, comprising: a water inlet, a first solenoid valve, a filtration module, a second solenoid valve, a purification module, a control module, and a water quality measurement module;

[0077] The inlet of the water inlet is used to receive raw water; the filtration module is used to filter the raw water; and the purification module is used to purify the water effluent from the filtration module.

[0078] The two ends of the first solenoid valve are connected to the outlet of the water inlet and the inlet of the filter module, respectively.

[0079] The two ends of the second solenoid valve are connected to the outlet of the filter module and the inlet of the purification module, respectively.

[0080] A water quality measurement module is installed at the outlet of the purification module;

[0081] The water quality measurement module is used to measure and obtain a set of water quality information of the effluent from the purification module; the set of water quality information includes pH value sequence, dissolved oxygen value sequence, turbidity value sequence, conductivity value sequence, and TDS value sequence.

[0082] The control module is connected to the water quality measurement module and is used to control the opening degree of the first solenoid valve and the second solenoid valve according to the water quality information set.

[0083] The first solenoid valve is equipped with a first water pressure sensor and a first communication module; the first water pressure sensor is used to measure the first water pressure value sequence inside the first solenoid valve and send the first water pressure value sequence to the first communication module.

[0084] The first communication module is used to send the first water pressure value sequence to the control module;

[0085] The second solenoid valve is equipped with a second water pressure sensor and a second communication module. The second water pressure sensor is used to measure the second water pressure value sequence inside the second solenoid valve and send the second water pressure value sequence to the second communication module.

[0086] The second communication module is used to send the second water pressure value sequence to the control module.

[0087] The control module, based on the water quality information set, controls the opening degree of the first and second solenoid valves, including:

[0088] The water quality information set is evaluated and processed to obtain a water quality assessment information set;

[0089] Control parameters are calculated from the water quality assessment information set, the first water pressure value sequence, and the second water pressure value sequence to obtain a set of intermediate control quantities;

[0090] Based on the set of intermediate control quantities, the first water pressure value sequence and the second water pressure value sequence are subjected to control transformation processing to obtain the opening value of the first solenoid valve and the opening value of the second solenoid valve.

[0091] The opening values ​​of the first solenoid valve and the second solenoid valve are used to set the opening degrees of the first solenoid valve and the second solenoid valve, respectively.

[0092] The process of evaluating the water quality information set to obtain a water quality assessment information set includes:

[0093] Obtain standard values ​​for pH, dissolved oxygen, turbidity, conductivity, and TDS;

[0094] For each sequence in the water quality information set, subtract the corresponding standard value to obtain the corresponding difference sequence;

[0095] By using all the difference sequences as row vectors, a difference matrix is ​​constructed.

[0096] Perform cross-correlation calculation on all row vectors of the difference matrix to obtain the cross-correlation matrix; the element of the i-th row and j-th column of the cross-correlation matrix is ​​the cross-correlation value between the i-th row vector and the j-th row vector of the difference matrix;

[0097] For each sequence in the water quality information set, perform an exponential difference operation with the corresponding standard value to obtain the corresponding exponential difference sequence;

[0098] Using all the exponential difference sequences, we construct the exponential difference matrix;

[0099] The cross-covariance matrix is ​​obtained by calculating the cross-covariance of all row vectors of the difference matrix and the exponential difference matrix.

[0100] The first feature matrix is ​​obtained by performing a first feature calculation on the cross-correlation matrix and the cross-covariance matrix;

[0101] Eigenvalues ​​are calculated on the first feature matrix to obtain an eigenvalue set; all eigenvalues ​​in the eigenvalue set are arranged in descending order of value to obtain a water quality assessment vector.

[0102] The norm value of the first feature matrix is ​​calculated, and the calculated norm value is determined as the water quality assessment value.

[0103] Using the water quality assessment vector and water quality assessment value, a water quality assessment information set is constructed;

[0104] The calculation expression for the first feature is:

[0105]

[0106] The singular value decomposition expression of the cross-covariance matrix S0 is as follows: U s , Δ, V s Let R0 represent the left, middle, and right matrices of the singular value decomposition of S0, respectively, where R0 is the cross-correlation matrix and A is the first characteristic matrix.

[0107] The elements in the i-th row and j-th column of the cross-covariance matrix are the cross-covariances of the i-th row vector of the difference matrix and the j-th row vector of the exponential difference matrix.

[0108] The aforementioned first feature calculation expression, by performing singular value decomposition on the cross-covariance matrix and combining it with the cross-correlation matrix to calculate the first feature matrix A, can deeply explore the intrinsic connections and interactions between water quality parameters. Addressing the issue mentioned in the background that existing water quality assessment methods are singular and unable to analyze relationships between parameters, this calculation expression comprehensively considers the difference sequences and exponential difference sequences of multiple water quality parameters. It utilizes the cross-correlation matrix to reflect the similarity and synergistic changes between parameter sequences, and then extracts the key information most representative of water quality change characteristics through singular value decomposition of the cross-covariance matrix, constructing the first feature matrix A. This allows the system to comprehensively assess water quality from multiple dimensions, fully reflecting the overall state of water quality, rather than viewing each water quality parameter in isolation. For example, when raw water is contaminated by a mixture of multiple pollutants, there are complex interrelationships between the water quality parameters corresponding to different pollutants. This calculation expression can accurately analyze these relationships, avoiding the omission of important water quality information due to focusing on only a single parameter, thus providing a more comprehensive and accurate basis for water quality assessment. The water quality assessment information obtained from this can more accurately guide the control of the opening of the solenoid valve, enabling the water purification system to make dynamic adjustments according to the actual water quality conditions, thereby improving the water purification effect and the stability of the output water quality.

[0109] The expression for the exponential difference operation is:

[0110]

[0111] in, Let y be the i-th element of the exponential difference sequence. iLet y0 be the i-th element of the sequence of the water quality information set, and let y0 be the standard value corresponding to the sequence of the water quality information set.

[0112] The aforementioned exponential difference calculation expression, by performing an exponential operation on each element in the water quality information set with its corresponding standard value, can more sensitively capture the degree to which water quality parameters deviate from the standard value compared to the traditional simple subtraction method. In practical applications, when water quality parameters slightly deviate from the standard value, the exponential operation amplifies this minute change, enabling the system to detect water quality change trends earlier and prevent the accumulation and deterioration of water quality problems. For example, when a water quality parameter slowly changes due to slight pollution of raw water, the exponential difference calculation can quickly reflect this change, while the traditional simple subtraction may not be able to detect it in time due to the small difference. This achieves early warning and accurate capture of water quality changes, providing more timely and accurate data support for subsequent water quality assessment and water purification process adjustments. At the same time, the exponential operation can also highlight the differences in water quality parameters at different magnitudes. It can reasonably quantify the degree of difference for different types of water quality parameters (such as parameters with low and high concentrations), making water quality parameters of different magnitudes more comparable and valuable for comprehensive analysis in subsequent analysis, overcoming the limitations of traditional simple comparison methods when dealing with parameters of different magnitudes.

[0113] From the above calculation process, it can be seen that a set of water quality assessment information is obtained through a series of calculations, and then the opening degree of the first and second solenoid valves is controlled, effectively solving the problems of traditional water purification devices mentioned in the background technology. First, by measuring the water quality information set in real time and performing complex calculations and assessments, real-time monitoring and dynamic analysis of water quality are achieved, enabling timely adjustments to the water purification process based on real-time changes in water quality. When the raw water quality fluctuates, the system can quickly adjust the solenoid valve opening degree based on the new water quality assessment information, optimizing the filtration and purification process and ensuring stable effluent water quality. Second, in terms of solenoid valve control, it no longer simply controls the on / off state based on preset time or flow rate, but comprehensively calculates multiple factors such as water quality assessment information and water pressure value sequence to obtain a reasonable solenoid valve opening value. Considering the impact of unstable water pressure on the water purification effect, through control parameter calculation and control transformation processing, the solenoid valve opening degree can adapt to different water pressure conditions, ensuring optimal water purification performance under various operating conditions and improving the adaptability and stability of the entire water purification system. Finally, the complex water quality assessment calculation method fully considers the interrelationships and changing trends among water quality parameters, accurately reflects the overall state of water quality, and provides a scientific basis for the precise control of water purification systems. Compared with traditional single water quality assessment methods, it greatly improves the intelligence and precision of water purification systems, ensuring the quality and safety of drinking water.

[0114] The process of calculating control parameters from the water quality assessment information set, the first water pressure value sequence, and the second water pressure value sequence to obtain a set of intermediate control quantities includes:

[0115] The first standard water pressure inside the first solenoid valve and the second standard water pressure inside the second solenoid valve are obtained.

[0116] Subtract the first water pressure value sequence and the second water pressure value sequence from the first standard water pressure and the second standard water pressure, respectively, to obtain the first water pressure difference sequence and the second water pressure difference sequence;

[0117] Using the acquisition time of the first water pressure value sequence as the independent variable and the first water pressure difference sequence as the dependent variable, a function is fitted to the independent and dependent variables to obtain the first difference function;

[0118] Using the acquisition time of the second water pressure value sequence as the independent variable and the second water pressure difference sequence as the dependent variable, a function is fitted to the independent and dependent variables to obtain the second difference function;

[0119] The first and second difference functions are subjected to feature transformation to obtain the transformation function;

[0120] The water quality assessment value is used as the input quantity and input into the transformation function to obtain the first control intermediate quantity k1;

[0121] The transformation function and the water quality assessment vector are fused together to obtain the second control intermediate quantity k2.

[0122] The expression for the first fusion calculation is:

[0123] k2=1+β0∫|T(γ)|dγ,

[0124] Where β0 is the mean of the water quality assessment vector;

[0125] A second fusion calculation is performed on the water quality assessment vector, the first water pressure difference sequence, and the second water pressure difference sequence to obtain the third control intermediate quantity k3;

[0126] The expression for the second fusion calculation is:

[0127]

[0128] Where M is the length of the water quality assessment vector, ε 1i and ε 2i These are the i-th terms of the first and second water pressure difference sequences, respectively, β i Let i be the i-th term of the water quality assessment vector.

[0129] The water quality assessment vector, the first water pressure difference sequence, and the second water pressure difference sequence all contain the same number of elements.

[0130] The expression for the feature transformation is:

[0131]

[0132] f 12 (t,τ)=f1(t+τ / 2)f2 * (t-τ / 2),

[0133] Where [-T / 2, T / 2] is the range of τ, t is the time variable, τ is the time shift variable, γ is the input variable of the transformation function, * indicates taking the conjugate, f1(t) and f2(t) are the first difference function and the second difference function, respectively. 12 (t) represents the fusion function, and T(γ) represents the transformation function.

[0134] The calculation expression for the control transformation process is:

[0135]

[0136] F1(t) = K1(0)[1 + L2(v1(t))],

[0137] F2(t)=K2(0)exp(-|v2(t)|),

[0138] Where v1(t) and v2(t) are the first control output value and the second control output value at time t, K1(0) is the preset initial opening degree of the first solenoid valve, K2(0) is the preset initial opening degree of the second solenoid valve, L2() is the second-order Legendre function, and F1(t) and F2(t) are the opening degree values ​​of the first solenoid valve and the second solenoid valve at time t, respectively.

[0139] The filtration module primarily utilizes ceramic membrane water purification technology and consists of a circulation pump, a ceramic membrane module, a backwash water tank, and an air compressor. The circulation pump, ceramic membrane module, backwash water tank, and air compressor are connected sequentially. The ceramic membrane has a pore size of 50nm, which can significantly reduce water turbidity, suspended solids, bacteria, and viruses, thereby reducing the working pressure on the downstream RO membrane.

[0140] The working principle of ceramic membranes: Ceramic membranes use static pressure difference as the driving force and utilize the "sieving" effect of the sieve-like filter medium to achieve membrane separation. Ceramic membranes employ a cross-flow filtration method. Driven by a pump, raw water flows parallel to the surface of the ceramic membrane within the membrane pores. The water that passes through the ceramic membrane is purified water, while the concentrated water is discharged from the other end of the membrane channels. The shear force generated when the water flows across the surface of the ceramic membrane carries away some of the impurities trapped on the membrane surface, thereby mitigating membrane surface fouling and maintaining a relatively thin fouling layer.

[0141] The backwash tank has a stainless steel shell and an air valve on the top that connects to an air compressor. When backwashing is required, the air valve opens, and the clean water in the tank enters the ceramic membrane module under air pressure, thus completing the backwashing process.

[0142] The water purification module employs an RO membrane assembly. The RO membrane uses an aromatic polyamide composite membrane material, which offers advantages such as low operating pressure, strong acid and alkali resistance, high water production, high desalination rate, and enhanced chemical stability. The selected LP series membrane elements are suitable for surface water with a salinity of approximately 10,000 ppm or less. The high-pressure pump is a key component of the RO system, providing a stable, uninterrupted flow rate and suitable pressure to the membrane assembly.

[0143] A second aspect of this invention discloses a dynamic feedback multi-stage water purification method, implemented using the aforementioned dynamic feedback multi-stage water purification device, comprising:

[0144] S1, receive raw water through the inlet of the water inlet;

[0145] S2, The raw water is filtered using the filtration module;

[0146] S3, using the purification module to purify the water effluent from the filtration module;

[0147] S4, using the water quality measurement module, measure and obtain a set of water quality information of the effluent from the purification module;

[0148] S5, using the control module, the opening degree of the first solenoid valve and the second solenoid valve is controlled according to the water quality information set.

[0149] The step of controlling the opening degree of the first and second solenoid valves based on the water quality information set includes:

[0150] S51, The water quality information set is evaluated and processed to obtain a water quality evaluation information set;

[0151] S52, calculate the control parameters for the water quality assessment information set, the first water pressure value sequence, and the second water pressure value sequence to obtain a set of control intermediate quantities;

[0152] S53, based on the set of intermediate control quantities, perform control transformation processing on the first water pressure value sequence and the second water pressure value sequence to obtain the opening value of the first solenoid valve and the opening value of the second solenoid valve.

[0153] S54, using the opening value of the first solenoid valve and the opening value of the second solenoid valve, the opening degree of the first solenoid valve and the second solenoid valve are set respectively.

[0154] The process of evaluating the water quality information set to obtain a water quality assessment information set includes:

[0155] S5101, obtain standard values ​​for pH, dissolved oxygen, turbidity, conductivity, and TDS;

[0156] S5102, for each sequence in the water quality information set, subtract the corresponding standard value to obtain the corresponding difference sequence;

[0157] S5103, using all the difference sequences as row vectors, constructs the difference matrix;

[0158] S5104, perform cross-correlation calculation on all row vectors of the difference matrix to obtain a cross-correlation matrix; the elements of the i-th row and j-th column of the cross-correlation matrix are the cross-correlation values ​​between the i-th row vector and the j-th row vector of the difference matrix;

[0159] S5105, For each sequence in the water quality information set, perform an exponential difference operation with the corresponding standard value to obtain the corresponding exponential difference sequence;

[0160] S5106, using all the exponential difference sequences, construct the exponential difference matrix;

[0161] S5107, calculate the cross-covariance of all row vectors of the difference matrix and the exponential difference matrix to obtain the cross-covariance matrix;

[0162] S5108, Perform first feature calculation on the cross-correlation matrix and cross-covariance matrix to obtain the first feature matrix;

[0163] S5109, eigenvalues ​​are calculated on the first feature matrix to obtain an eigenvalue set; all eigenvalues ​​in the eigenvalue set are arranged in descending order of value to obtain a water quality assessment vector;

[0164] S5110, Perform norm value calculation on the first feature matrix, and determine the calculated norm value as the water quality assessment value.

[0165] S5111, using the water quality assessment vector and water quality assessment value, a water quality assessment information set is constructed;

[0166] The calculation expression for the first feature is:

[0167]

[0168] The singular value decomposition expression of the cross-covariance matrix S0 is as follows: U s , Δ, Vs Let R0 represent the left, middle, and right matrices of the singular value decomposition of S0, respectively, where R0 is the cross-correlation matrix and A is the first characteristic matrix.

[0169] The elements in the i-th row and j-th column of the cross-covariance matrix are the cross-covariances of the i-th row vector of the difference matrix and the j-th row vector of the exponential difference matrix.

[0170] The expression for the exponential difference operation is:

[0171]

[0172] in, Let y be the i-th element of the exponential difference sequence. i Let y0 be the i-th element of the sequence of the water quality information set, and let y0 be the standard value corresponding to the sequence of the water quality information set.

[0173] The process of calculating control parameters from the water quality assessment information set, the first water pressure value sequence, and the second water pressure value sequence to obtain a set of intermediate control quantities includes:

[0174] S521, obtain the first standard water pressure inside the first solenoid valve and the second standard water pressure inside the second solenoid valve.

[0175] S522, Subtract the first water pressure value sequence and the second water pressure value sequence from the first standard water pressure and the second standard water pressure respectively to obtain the first water pressure difference sequence and the second water pressure difference sequence;

[0176] S523, using the acquisition time of the first water pressure value sequence as the independent variable and the first water pressure difference sequence as the dependent variable, perform function fitting on the independent variable and the dependent variable to obtain the first difference function;

[0177] S524, using the acquisition time of the second water pressure value sequence as the independent variable and the second water pressure difference sequence as the dependent variable, perform function fitting on the independent variable and the dependent variable to obtain the second difference function;

[0178] Using the acquisition time of the water pressure value sequence as the independent variable and the water pressure difference sequence as the dependent variable, a function fitting is performed to obtain the first difference function and the second difference function. This method can transform discrete water pressure difference data into a continuous functional form, making it easier to analyze the trend of water pressure changes over time. In practical applications, water pressure changes can be complex and irregular; function fitting can capture the patterns of these changes. For example, by analyzing the slope, extrema, and other characteristics of the difference function, the system can predict future water pressure changes and adjust the opening of the solenoid valve in advance to avoid unstable water purification effects caused by sudden water pressure changes.

[0179] S525, Perform feature transformation on the first difference function and the second difference function to obtain the transformation function;

[0180] S526, The water quality assessment value is used as the input quantity and input into the transformation function to obtain the first control intermediate quantity k1;

[0181] The water quality assessment value is used as the input to the transformation function to obtain the first intermediate control value. This process combines the water quality assessment result with the water pressure variation characteristics. In traditional water purification systems, water quality assessment and water pressure control are often performed independently, without fully considering the correlation between the two. This patent, however, enables the control of the solenoid valve to simultaneously consider both water quality and water pressure factors. For example, when the water quality assessment value is poor and the water pressure fluctuates significantly, the system can more rationally adjust the opening of the solenoid valve based on the first intermediate control value to improve the water purification effect.

[0182] S527, Perform a first fusion calculation on the transformation function and the water quality assessment vector to obtain the second control intermediate quantity k2;

[0183] The expression for the first fusion calculation is:

[0184] k2=1+β0∫|T(γ)|dγ,

[0185] Where β0 is the mean of the water quality assessment vector;

[0186] The second control intermediate quantity is obtained through a first fusion calculation, which combines a transformation function and a water quality assessment vector. The water quality assessment vector contains assessment information for multiple water quality parameters. This fusion calculation comprehensively considers the interrelationships between these parameters and the characteristics of water pressure changes. For example, when the mean value of some parameters in the water quality assessment vector is large, it indicates that the overall water quality is poor. In this case, combining the transformation function can more accurately determine the control strategy of the solenoid valve, ensuring good water purification results under different water quality conditions.

[0187] S528, perform a second fusion calculation on the water quality assessment vector, the first water pressure difference sequence and the second water pressure difference sequence to obtain the third control intermediate quantity k3;

[0188] The aforementioned water pressure difference sequence calculation process involves obtaining the first standard water pressure inside the first solenoid valve and the second standard water pressure inside the second solenoid valve. The first and second water pressure value sequences are then subtracted from the standard water pressures, respectively, to obtain the first and second water pressure difference sequences. This process clearly reflects the deviation between the actual water pressure and the standard water pressure. In traditional water purification devices, water pressure control often fails to consider this real-time deviation, leading to unreasonable solenoid valve openings when water pressure is unstable, thus affecting the water purification effect. The calculation method in this patent allows the system to monitor water pressure fluctuations in real time, providing fundamental data for subsequent precise control. For example, when the actual water pressure is higher than the standard water pressure, this can be clearly reflected through the water pressure difference sequence, allowing the system to make corresponding adjustments.

[0189] The expression for the second fusion calculation is:

[0190]

[0191] Where M is the length of the water quality assessment vector, ε 1i and ε 2i These are the i-th terms of the first and second water pressure difference sequences, respectively, β i Let i be the i-th term of the water quality assessment vector.

[0192] The second fusion calculation yields the third control intermediate quantity, which integrates the water quality assessment vector, the first water pressure difference sequence, and the second water pressure difference sequence. This allows the system to comprehensively consider multiple factors such as water quality and water pressure deviation, further optimizing the solenoid valve control strategy. For example, when some parameters in the water quality assessment vector are poor, and the water pressure difference sequence is also large, the third control intermediate quantity reflects this overall situation. The system can then make more precise adjustments to the solenoid valve opening based on this third control intermediate quantity, thereby improving the performance and effluent quality of the entire water purification system.

[0193] The water quality assessment vector, the first water pressure difference sequence, and the second water pressure difference sequence all contain the same number of elements.

[0194] The expression for the feature transformation is:

[0195]

[0196] f 12 (t,τ)=f1(t+τ / 2)f2 * (t-τ / 2),

[0197] Where [-T / 2, T / 2] is the range of τ, t is the time variable, τ is the time shift variable, γ is the input variable of the transformation function, * indicates taking the conjugate, f1(t) and f2(t) are the first difference function and the second difference function, respectively. 12 (t) represents the fusion function, and T(γ) represents the transformation function.

[0198] The feature transformation expression fuses and transforms the first and second difference functions to obtain the transformation function T(γ). This transformation can uncover deeper features in water pressure difference data, converting time-domain information to another domain for analysis. Traditional water quality control methods often focus only on a single parameter or a simple linear relationship, while the feature transformation in this patent considers the interrelationship between the two difference functions and the influence of time-shifted variables, thus reflecting the characteristics of water pressure changes more comprehensively. For example, under different operating conditions, water pressure changes may exhibit different patterns; the feature transformation can quantify and analyze these patterns, providing a more accurate basis for subsequent control.

[0199] The calculation expression for the control transformation process is:

[0200]

[0201] F1(t) = K1(0)[1 + L2(v1(t))],

[0202] F2(t)=K2(0)exp(-|v2(t)|),

[0203] Where v1(t) and v2(t) are the first control output value and the second control output value at time t, K1(0) is the preset initial opening degree of the first solenoid valve, K2(0) is the preset initial opening degree of the second solenoid valve, L2() is the second-order Legendre function, and F1(t) and F2(t) are the opening degree values ​​of the first solenoid valve and the second solenoid valve at time t, respectively.

[0204] The above description is merely an embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the present invention should be included within the scope of the claims of the present invention.

Claims

1. A dynamic feedback multi-stage water purification device, characterized in that, include: Water inlet, first solenoid valve, filter module, second solenoid valve, purification module, control module, water quality measurement module; The inlet of the water inlet is used to receive raw water; the filtration module is used to filter the raw water; and the purification module is used to purify the water effluent from the filtration module. The two ends of the first solenoid valve are connected to the outlet of the water inlet and the inlet of the filter module, respectively. The two ends of the second solenoid valve are connected to the outlet of the filter module and the inlet of the purification module, respectively. A water quality measurement module is installed at the outlet of the purification module; The water quality measurement module is used to measure and obtain a set of water quality information of the effluent from the purification module; the set of water quality information includes pH value sequence, dissolved oxygen value sequence, turbidity value sequence, conductivity value sequence, and TDS value sequence. The control module is connected to the water quality measurement module and is used to control the opening degree of the first solenoid valve and the second solenoid valve according to the water quality information set. The control module, based on the water quality information set, controls the opening degree of the first and second solenoid valves, including: The water quality information set is evaluated and processed to obtain a water quality assessment information set, including: Obtain standard values ​​for pH, dissolved oxygen, turbidity, conductivity, and TDS; For each sequence in the water quality information set, subtract the corresponding standard value to obtain the corresponding difference sequence; By using all the difference sequences as row vectors, a difference matrix is ​​constructed. Perform cross-correlation calculation on all row vectors of the difference matrix to obtain the cross-correlation matrix; the element of the i-th row and j-th column of the cross-correlation matrix is ​​the cross-correlation value between the i-th row vector and the j-th row vector of the difference matrix; For each sequence in the water quality information set, perform an exponential difference operation with the corresponding standard value to obtain the corresponding exponential difference sequence; Using all the exponential difference sequences, we construct the exponential difference matrix; The cross-covariance matrix is ​​obtained by calculating the cross-covariance of all row vectors of the difference matrix and the exponential difference matrix. The first feature matrix is ​​obtained by performing a first feature calculation on the cross-correlation matrix and the cross-covariance matrix; Eigenvalues ​​are calculated on the first feature matrix to obtain an eigenvalue set; all eigenvalues ​​in the eigenvalue set are arranged in descending order of value to obtain a water quality assessment vector. The norm value of the first feature matrix is ​​calculated, and the calculated norm value is determined as the water quality assessment value. Using the water quality assessment vector and water quality assessment value, a water quality assessment information set is constructed; The calculation expression for the first feature is: , Among them, the cross-covariance matrix The singular value decomposition expression is: , , , They represent The left, middle, and right matrices of the singular value decomposition. The cross-correlation matrix, This is the first characteristic matrix; The elements in the i-th row and j-th column of the cross-covariance matrix are the cross-covariances of the i-th row vector of the difference matrix and the j-th row vector of the exponential difference matrix. Control parameters are calculated from the water quality assessment information set, the first water pressure value sequence, and the second water pressure value sequence to obtain a set of intermediate control quantities, including: S521, obtain the first standard water pressure inside the first solenoid valve and the second standard water pressure inside the second solenoid valve. S522, Subtract the first water pressure value sequence and the second water pressure value sequence from the first standard water pressure and the second standard water pressure respectively to obtain the first water pressure difference sequence and the second water pressure difference sequence; S523, using the acquisition time of the first water pressure value sequence as the independent variable and the first water pressure difference sequence as the dependent variable, perform function fitting on the independent variable and the dependent variable to obtain the first difference function; S524, using the acquisition time of the second water pressure value sequence as the independent variable and the second water pressure difference sequence as the dependent variable, perform function fitting on the independent variable and the dependent variable to obtain the second difference function; S525, Perform feature transformation on the first difference function and the second difference function to obtain the transformation function; the expression of the feature transformation is: ， ， Where [-T / 2,T / 2] is The range of values ​​for , where t is a time variable. For time-shifted variables, These are the input variables of the transformation function. Indicates taking the conjugate. and These are the first difference function and the second difference function, respectively. For fusion function, Represents the transformation function; S526, The water quality assessment value is used as an input quantity and input into the transformation function to obtain the first control intermediate quantity. ; S527, Perform a first fusion calculation on the transformation function and the water quality assessment vector to obtain the second control intermediate quantity. ; The expression for the first fusion calculation is: ， in, This represents the mean of the water quality assessment vector; S528, perform a second fusion calculation on the water quality assessment vector, the first water pressure difference sequence, and the second water pressure difference sequence to obtain the third control intermediate quantity. ; The expression for the second fusion calculation is: ， Where M is the length of the water quality assessment vector. and These are the i-th terms of the first water pressure difference sequence and the second water pressure difference sequence, respectively. Let i be the i-th term of the water quality assessment vector; Based on the set of intermediate control variables, the first water pressure value sequence and the second water pressure value sequence are subjected to control transformation processing to obtain the opening values ​​of the first solenoid valve and the second solenoid valve; the calculation expression of the control transformation processing is: ， ， ， ， in, and Let be the first control output value and the second control output value at time t. It is the preset initial opening degree of the first solenoid valve. It is the preset initial opening degree of the second solenoid valve. It is a second-order Legendre function. and These are the opening values ​​of the first solenoid valve and the second solenoid valve at time t, respectively. The opening values ​​of the first solenoid valve and the second solenoid valve are used to set the opening degrees of the first solenoid valve and the second solenoid valve, respectively.

2. The multi-stage water purification device with dynamic feedback as described in claim 1, characterized in that, The first solenoid valve is equipped with a first water pressure sensor and a first communication module; the first water pressure sensor is used to measure the first water pressure value sequence inside the first solenoid valve and send the first water pressure value sequence to the first communication module. The first communication module is used to send the first water pressure value sequence to the control module; The second solenoid valve is equipped with a second water pressure sensor and a second communication module. The second water pressure sensor is used to measure the second water pressure value sequence inside the second solenoid valve and send the second water pressure value sequence to the second communication module. The second communication module is used to send the second water pressure value sequence to the control module.

3. A dynamic feedback multi-stage water purification method, characterized in that, The multi-stage water purification device with dynamic feedback as described in any one of claims 1 to 2 is used to achieve this, comprising: S1, receive raw water through the inlet of the water inlet; S2, The raw water is filtered using the filtration module; S3, using the purification module to purify the water effluent from the filtration module; S4, using the water quality measurement module, measure and obtain a set of water quality information of the effluent from the purification module; S5, using the control module, the opening degree of the first solenoid valve and the second solenoid valve is controlled according to the water quality information set.

4. The multi-stage water purification method with dynamic feedback as described in claim 3, characterized in that, The step of controlling the opening degree of the first and second solenoid valves based on the water quality information set includes: S51, The water quality information set is evaluated and processed to obtain a water quality evaluation information set; S52, calculate the control parameters for the water quality assessment information set, the first water pressure value sequence, and the second water pressure value sequence to obtain a set of control intermediate quantities; S53, based on the set of intermediate control quantities, perform control transformation processing on the first water pressure value sequence and the second water pressure value sequence to obtain the opening value of the first solenoid valve and the opening value of the second solenoid valve. S54, using the opening value of the first solenoid valve and the opening value of the second solenoid valve, the opening degree of the first solenoid valve and the second solenoid valve are set respectively.

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