Multi-information fusion regulated seawater desalination high-pressure pump

Abstract

The application provides a multi-information fusion regulated seawater desalination high-pressure pump, which comprises a power unit, a backflow pipeline, a valve, an operation parameter monitoring module, a time sequence analysis module and an intelligent control module; the inlet of the power unit is connected with the inside of the power unit through the backflow pipeline, the outlet of the power unit is connected with a reverse osmosis membrane structure for producing fresh water; the valve is installed on the backflow pipeline; the operation parameter monitoring module comprises at least one sensor for detecting the outlet pressure and flow of the power unit, the current seawater temperature and salinity; the time sequence analysis module predicts the seawater temperature of the next time according to the current seawater temperature, weather forecast information and historical data; the intelligent control module regulates the running speed of the power unit and the opening degree of the valve according to the outlet pressure and flow of the power unit, the seawater temperature of the next time and the salinity. The application can improve the water production quality and reduce the system energy consumption.

Description

Technical Field

[0001] This invention relates to the field of high-pressure pump technology for seawater desalination, specifically a high-pressure pump for seawater desalination controlled by multi-information fusion. Background Technology

[0002] With the global water shortage becoming increasingly severe, seawater desalination, as an important means of obtaining freshwater resources, is widely used in coastal city water supply, island domestic water supply, industrial production water supply, and water resource replenishment in remote areas. In these application scenarios, there is an urgent need for efficient and stable operation of seawater desalination equipment to achieve continuous and reliable freshwater production and meet the water requirements of different sectors.

[0003] Traditional high-pressure pumps mostly use a single-stage pressure regulation mechanism, relying solely on the power unit to adjust the speed in a single dimension. When seawater temperature, salinity, or operating conditions change, single-stage regulation is difficult to quickly and accurately match the demand. This is especially true for large-scale seawater desalination high-pressure pumps, where single-stage regulation can easily lead to excessive pressure fluctuations and delayed flow regulation, thereby reducing seawater desalination efficiency, increasing energy consumption, and making it difficult to flexibly fine-tune the pressure. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a high-pressure seawater desalination pump with multi-information fusion control, which solves the problems of lagging flow regulation and unstable water quality in the traditional single-stage pressure regulation mechanism of high-pressure pumps, thereby improving the quality of produced water and reducing system energy consumption.

[0005] The present invention achieves the above-mentioned technical objectives through the following technical means.

[0006] A high-pressure seawater desalination pump with multi-information fusion control includes a power unit, return pipeline, valves, operating parameter monitoring module, time sequence analysis module, and intelligent control module;

[0007] The power unit inlet is connected to the inside of the power unit via a return pipeline, and the power unit outlet is connected to a reverse osmosis membrane structure for producing fresh water;

[0008] A valve is installed on the return pipeline; the operating parameter monitoring module includes at least one sensor for detecting the power unit outlet pressure and flow rate, current seawater temperature and salinity; the time series analysis module predicts the seawater temperature for the next time period based on the current seawater temperature, weather forecast information and historical data.

[0009] The intelligent control module adjusts the operating speed of the power unit and the opening degree of the valves based on the outlet pressure and flow rate of the power unit, the seawater temperature and salinity at the next time.

[0010] Furthermore, the power unit is a pump, and the outlet surfaces of the first two stages of the positive guide vanes of the pump are connected to the pump inlet via a return pipeline.

[0011] Furthermore, the operating parameter monitoring module includes a pressure sensor, a temperature sensor, a salinity sensor, and a flow sensor; the pressure sensor is used to monitor the outlet pressure of the power unit; the salinity sensor is used to monitor the salinity of the seawater at the inlet of the power unit; and the temperature sensor is used to monitor the current seawater temperature.

[0012] Furthermore, the intelligent control module determines the outlet pressure of the power unit based on the expected permeate flux of the reverse osmosis membrane structure, the seawater temperature and salinity at the next time step;

[0013] The intelligent control module determines the future operating speed of the power unit based on the outlet pressure, rated pressure, and rated speed of the power unit.

[0014] Furthermore, the intelligent control module determines the outlet pressure of the power unit based on the expected permeate flux of the reverse osmosis membrane structure, the seawater temperature and salinity at the next time step;

[0015] The intelligent control module uses the outlet pressure of the power unit and the measured outlet pressure P of the power unit as the basis for its operation. s The difference determines the valve opening.

[0016] Furthermore, the intelligent control module determines the outlet pressure of the power unit at time t based on the expected permeate flux of the reverse osmosis membrane structure, the seawater temperature at the next time step, and the salinity. Specifically:

[0017]

[0018] η t =f(T) t ,S)

[0019] In the formula: P t η represents the outlet pressure of the power unit at time t in the future. t Let η be the viscosity of the seawater at time t in the future; ref Reference viscosity for seawater; J w ρ is the expected permeate flux of the reverse osmosis membrane structure; A is the water permeability coefficient of the membrane; i is the solubility factor of the solute; S is the seawater salinity; ρ is the seawater density; R is the gas constant; T t Let T be the absolute temperature of the seawater at time t; M be the average molar mass of the seawater; f(T) t S represents the relationship between seawater temperature and salinity and seawater viscosity;

[0020] The intelligent control module determines the future operating speed of the power unit based on the outlet pressure, rated pressure, and rated speed of the power unit, as follows:

[0021]

[0022] In the formula: P N The rated pressure of the power unit; n N n is the rated speed of the power unit. t Let t be the rotational speed of the power unit at time t in the future.

[0023] Furthermore, the intelligent control module will obtain the rotational speed n of the power unit at time t in the future. t With the goal of minimizing the rate of change of pump speed, the pump speed curve of the power unit in the next T' hours is obtained, where t∈[1,…,…T].

[0024] Furthermore, when the measured outlet pressure of the power unit The outlet pressure P of the power unit t When the difference exceeds the threshold, the intelligent control module controls the valve to adjust the opening degree V, where V = α. p ·△P, △P=P s -P t α p This is the pressure response coefficient.

[0025] The beneficial effects of this invention are as follows:

[0026] 1. The high-pressure seawater desalination pump with multi-information fusion control described in this invention uses the intelligent control module to regulate the operating speed of the power unit as the first-level pressure regulation and the intelligent control module to regulate the valve opening as the second-level pressure regulation. The first-level pressure regulation adjusts the power unit speed in advance based on the current seawater temperature, salinity, and future seawater temperature. The second-level pressure regulation dynamically adjusts the valve opening based on the current seawater temperature, salinity, and outlet pressure. The two work together to form a two-level pressure regulation system, which can flexibly cope with pressure and flow fluctuations under complex operating conditions, significantly improve the stability and reliability of the seawater desalination system, and effectively ensure desalination efficiency and water quality.

[0027] 2. The high-pressure seawater desalination pump with multi-information fusion control described in this invention has a time-series analysis module that enables accurate prediction of changes in seawater parameters, and a fusion analysis module that further integrates data and prediction results to establish a multi-factor correlation model. This provides a scientific basis for decision-making in the intelligent control system, enabling the system to be forward-looking, predict potential problems in advance, and proactively adjust its operating strategy to reduce the probability of failure and extend the service life of the equipment.

[0028] 3. The high-pressure seawater desalination pump with multi-information fusion control described in this invention features an intelligent control module that rapidly controls the power unit and valves based on predicted seawater temperature. This ensures safe and stable operation even under extreme conditions such as high salinity, guaranteeing the system maintains high-efficiency intelligent control capabilities over the long term and continuously optimizing energy consumption and efficiency in the seawater desalination process. Attached Figure Description

[0029] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. The drawings described below are some embodiments of the present invention. For those skilled in the art, it is obvious that other drawings can be obtained from these drawings without creative effort.

[0030] Figure 1 This is a schematic diagram of the high-pressure seawater desalination pump with multi-information fusion control described in this invention.

[0031] Figure 2 This is a system architecture diagram of the present invention.

[0032] Figure 3 This is a diagram showing the relationship between the various modules of this invention.

[0033] Figure 4 The curve represents the rotational speed of the power unit at time t in the future.

[0034] Figure 5 The goal is to obtain the future pump speed curve with the objective of minimizing the rate of change of pump speed.

[0035] In the picture:

[0036] 1-Power unit; 2-Return pipeline; 3-Valve. Detailed Implementation

[0037] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0038] In the description of this invention, it should be understood that the terms "center," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "axial," "radial," "vertical," "horizontal," "inner," and "outer," etc., indicating orientation or positional relationships based on the orientation or positional relationships shown in the accompanying drawings, are only for the convenience of describing the invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0039] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0040] like Figure 1 and Figure 2 As shown, the multi-information fusion-controlled high-pressure seawater desalination pump of the present invention includes a power unit 1, a return pipeline 2, a valve 3, an operating parameter monitoring module, a time-series analysis module, and an intelligent control module. The inlet of the power unit 1 is connected to the inside of the power unit 1 through the return pipeline 2, and the outlet of the power unit 1 is connected to a reverse osmosis membrane structure for producing fresh water. The valve 3 is installed on the return pipeline 2. The operating parameter monitoring module includes at least one sensor for detecting the outlet pressure and flow rate of the power unit 1, the current seawater temperature, and salinity. The time-series analysis module predicts the seawater temperature at the next time based on the current seawater temperature, weather forecast information, and historical data. The intelligent control module regulates the operating speed of the power unit 1 and the opening degree of the valve 3 based on the outlet pressure and flow rate of the power unit 1, the seawater temperature at the next time, and the salinity.

[0041] The power unit 1 of this invention includes a motor and a multi-stage centrifugal pump. In one embodiment of this invention, the return pipe 2 connects the pump outlet pipe and the pump inlet pipe; in another embodiment of this invention, the return pipe 2 connects the outlet surfaces of the first two stages of positive guide vanes before the pump outlet and the pump inlet pipe, which can prevent concentrated brine retained by the reverse osmosis membrane from flowing back through the return pipe.

[0042] The operating parameter monitoring module includes a pressure sensor, a temperature sensor, a salinity sensor, and a flow sensor; the pressure sensor is used to monitor the outlet pressure of power unit 1; the flow sensor is used to monitor the outlet flow of power unit 1; the salinity sensor is used to monitor the inlet seawater salinity of power unit 1; and the temperature sensor is used to monitor the current seawater temperature.

[0043] The time-series analysis module predicts the seawater temperature for the next time period based on current seawater temperature, weather forecast information, and historical data. This module uses a Long Short-Term Memory (LSTM) network model to analyze the data and predict seawater temperature. The training method for this LSTM network model is as follows: meteorological temperature data and seawater temperature data monitored by temperature sensors are collected at 10-minute intervals, with a collection period of 8 hours constituting one set. Each set of data is used as input, and the seawater temperature data at the last moment of each set is used as output. The neural network model is then trained using the LSTM method. The resulting LSTM network model can predict future seawater temperatures using a recursive method with a time step of 10 minutes, based on meteorological temperature data and past seawater temperature data. The time-series analysis module preprocesses the temperature data monitored by temperature sensors and past / current seawater temperatures from the historical database using an adaptive filtering algorithm to predict the seawater temperature for the next 8 hours. The time-series analysis module represents a common and readily available prediction model.

[0044] like Figure 3 As shown, the intelligent control module determines the outlet pressure of power unit 1 based on the expected permeate flux of the reverse osmosis membrane structure, the seawater temperature at time t, and the salinity; specifically:

[0045] The expression for the permeate flux of the reverse osmosis membrane is as follows:

[0046]

[0047] In the formula: C is the salt concentration (mol / m³) 3 The conversion relationship between ( ) and seawater salinity S is as follows:

[0048] The relationship between seawater viscosity and temperature and salinity:

[0049] η t =f(T) t ,S)

[0050] P can be solved to obtain:

[0051]

[0052] In the formula: P t Let pa be the outlet pressure of power unit 1 at time t in the future; η be the pressure at which the pressure is calculated. t Let η be the viscosity of the seawater at time t in the future;ref For seawater reference viscosity, η ref =0.891×10 -3 Pa·s; J w A is the desired permeate flux of the reverse osmosis membrane structure, m / s; A is the water permeability coefficient of the membrane, L / (m²). 2 In this example, A = 0.96 L / (m·bar). 2 ·h·bar); i is the solubility factor of the solute, i≈2 for NaCl; S is the salinity of seawater; ρ is the density of seawater, kg / m³ 3 R is the gas constant, taken as R = 8.134 J / (mol·K); T t Let be the absolute temperature of the seawater at time t in the future, in K; M be the average molar mass of the seawater, in kg / mol.

[0053] The relationship between seawater viscosity and temperature and salinity η t =f(T) t The viscosity (S) can be obtained through multiple experiments. Similarly, the viscosity of water varies at different temperatures; this can be found by consulting material handbooks or other relevant literature.

[0054] The intelligent control module determines the future operating speed of power unit 1 based on the outlet pressure, rated pressure, and rated speed of power unit 1, as follows:

[0055]

[0056] In the formula: P N The rated pressure of power unit 1; n N The rated speed of power unit 1; n t Let t be the rotational speed of power unit 1 at time t in the future.

[0057] The intelligent control module will obtain the rotational speed n of power unit 1 at several future times t. t With the goal of minimizing the rate of change of pump speed, the pump speed curve of power unit 1 in the next T' hours is obtained, where t∈[1,…,…T′]. In the embodiment, T' is 8 hours, which can be divided into several equal parts, or into divisions of 0.2h, 0.5h, 1h, 2h, 4h, and 8h.

[0058] The intelligent control module determines the outlet pressure of power unit 1 based on the expected permeate flux of the reverse osmosis membrane structure and the seawater temperature and salinity at the next time.

[0059] The intelligent control module uses the outlet pressure of power unit 1 and the measured outlet pressure P of power unit 1 as the basis for its operation. s The difference determines the opening degree of valve 3.

[0060] When the measured outlet pressure P of power unit 1 s -Outlet pressure P of power unit 1 t When the difference exceeds the threshold, the intelligent control module controls valve 3 to adjust the opening degree V, where V = α. p ·△P, △P=P s -P t α p This is the pressure response coefficient.

[0061] The intelligent control module regulates the operating speed of the power unit as the first-level pressure regulation, and regulates the valve opening as the second-level pressure regulation. The first-level pressure regulation adjusts the power unit speed in advance based on the current seawater temperature, salinity, and future seawater temperature. The second-level pressure regulation dynamically adjusts the valve opening based on the current seawater temperature, salinity, and outlet pressure. The two work together to form a two-level pressure regulation system, which can flexibly cope with pressure and flow fluctuations under complex operating conditions, significantly improve the stability and reliability of the seawater desalination system, and effectively ensure desalination efficiency and water quality.

[0062] In this embodiment, a certain type of high-pressure seawater desalination system is used, and the seawater density is ρ = 1.02 × 10⁻⁶. 3 kg / m 3 The average molar mass of seawater salinity is M = 58 g / mol, and the expected permeate flux of the reverse osmosis membrane structure is J. w =1×10 -5 m / s, the pressure response coefficient of valve 3 is α p =50% / MPa; At the current time t=0, the seawater temperature measured at the current time and the next 8 hours is shown in Table 1, and the salinity of the influent is 30‰;

[0063] Table 1 shows the predicted seawater temperature for the next 8 hours at t=0 in the examples.

[0064]

[0065] The intelligent control module determines the outlet pressure and required rotational speed of power unit 1 based on the expected permeate flux of the reverse osmosis membrane structure, the seawater temperature and salinity at future time t in Table 1, as shown in Table 2. After multi-objective optimization, the resulting rotational speed curve is shown in Table 2. Figure 4 As shown.

[0066] Table 2 shows the predicted rotational speed required for the next 8 hours at t=0 in the examples.

[0067]

[0068] At t=0, the actual rotational speed is 2229 rpm. After multi-objective optimization, as follows: Figure 4 As shown, the intelligent control module is based on Figure 4As a result, the control power unit 1 accelerated to 2262 rpm within 0.2 h; at t=0, the difference between the measured outlet pressure Ps of the power unit 1 and the pump outlet pressure P0 was less than the threshold, so the valve opening was 0.

[0069] After one cycle, at the current time t = 0.2h, the seawater temperature for the current time and the next 8 hours is measured as shown in Table 3, and the influent salinity is 30‰. The intelligent control module determines the outlet pressure and required rotational speed of power unit 1 based on the expected permeate flux of the reverse osmosis membrane structure, the seawater temperature and salinity at the next time t in Table 1, as shown in Table 4. After multi-objective optimization, the obtained rotational speed curve is shown in Table 4. Figure 5 As shown.

[0070] Table 3 shows the predicted seawater temperature for the next 8 hours at t=0.2h in the examples.

[0071]

[0072] Table 4 shows the predicted rotational speed required for the next 8 hours at t=0.2h in the examples.

[0073]

[0074] At t=0.2, the actual rotational speed is 2229 rpm. The intelligent control module then... Figure 5 As a result, the control power unit 1 accelerated to 2275 rpm within 0.4 hours; at t = 0.2, the actual measured outlet pressure Ps = 6.46 MPa, ΔP = 6.46 - 6.30 = 0.13 MPa, which is greater than the threshold (0.1 MPa), so V = α p ·△P=6.5%, and this signal will be sent to control the opening of valve 3. During the above process, because it is predicted that the water temperature will begin to drop sharply after 0.2h to 0.5h, the rotational speed of the power unit is increased in advance during the 0-0.2h period, thereby significantly reducing the rate of change of the power unit's rotational speed (e.g., Figure 5 As shown in the figure, this control method is beneficial to improving the lifespan of large-scale seawater desalination high-pressure pumps and reducing energy consumption.

[0075] It should be understood that although this specification is described according to various embodiments, not every embodiment contains only one independent technical solution. This way of describing the specification is only for clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

[0076] The detailed descriptions listed above are merely specific illustrations of feasible embodiments of the present invention and are not intended to limit the scope of protection of the present invention. All equivalent embodiments or modifications made without departing from the spirit of the present invention should be included within the scope of protection of the present invention.

Claims

1. A high-pressure pump for seawater desalination with multi-information fusion control, characterized in that, It includes a power unit (1), a return pipeline (2), valves (3), an operating parameter monitoring module, a timing analysis module, and an intelligent control module; The inlet of the power unit (1) is connected to the inside of the power unit (1) through the return pipe (2), and the outlet of the power unit (1) is connected to the reverse osmosis membrane structure for producing fresh water; A valve (3) is installed on the return pipeline (2); the operating parameter monitoring module includes at least one sensor for detecting the outlet pressure and flow rate of the power unit (1), the current seawater temperature and salinity; the time series analysis module predicts the seawater temperature at the next time based on the current seawater temperature, weather forecast information and historical data; The intelligent control module adjusts the operating speed of the power unit (1) and the opening degree of the valve (3) according to the outlet pressure and flow rate of the power unit (1), the seawater temperature and salinity at the next time. The intelligent control module determines the outlet pressure of the power unit (1) based on the expected permeate flux of the reverse osmosis membrane structure, the seawater temperature and salinity at the next time; the intelligent control module determines the future operating speed of the power unit (1) based on the outlet pressure of the power unit (1), the rated pressure of the power unit (1), and the rated rotational speed; the intelligent control module determines the operating speed of the power unit (1) based on the outlet pressure of the power unit (1) and the measured outlet pressure P of the power unit (1). s The difference determines the opening degree of valve (3); The intelligent control module determines the outlet pressure of the power unit (1) at time t based on the expected permeate flux of the reverse osmosis membrane structure, the seawater temperature and salinity at the next time step, specifically: ， ， In the formula: P t Let the outlet pressure of the power unit (1) be at time t in the future; Let t be the viscosity of the seawater at a future time t; η ref Reference viscosity for seawater; J w ρ is the expected permeate flux of the reverse osmosis membrane structure; A is the water permeability coefficient of the membrane; i is the solubility factor of the solute; S is the seawater salinity; ρ is the seawater density; R is the gas constant; T t Let be the absolute temperature of the seawater at time t in the future; M be the average molar mass of the seawater. Formulas representing the relationship between seawater temperature and salinity and seawater viscosity; The intelligent control module determines the future operating speed of the power unit (1) based on the outlet pressure, rated pressure, and rated speed of the power unit (1), as follows: ， In the formula: P N The rated pressure of the power unit (1); n N The rated speed of the power unit (1); n t Let t be the rotational speed of the power unit (1) at time t in the future.

2. The high-pressure seawater desalination pump with multi-information fusion control according to claim 1, characterized in that, The power unit (1) is a pump, and the outlet surfaces of the first two stages of the positive guide vanes of the pump are connected to the pump inlet via a return pipe (2).

3. The high-pressure seawater desalination pump with multi-information fusion control according to claim 1, characterized in that, The operating parameter monitoring module includes a pressure sensor, a temperature sensor, and a salinity sensor; the pressure sensor is used to monitor the outlet pressure of the power unit (1); the salinity sensor is used to monitor the inlet seawater salinity of the power unit (1); and the temperature sensor is used to monitor the current seawater temperature.

4. The high-pressure seawater desalination pump with multi-information fusion control according to claim 1, characterized in that, The intelligent control module will obtain the rotational speed n of the power unit (1) at time t in the future. t Based on the objective of minimizing the rate of change of pump speed, the pump speed curve of power unit (1) in the next T' hours is obtained. .

5. The high-pressure seawater desalination pump with multi-information fusion control according to claim 1, characterized in that, At time t, the measured outlet pressure P of the power unit (1) s -Outlet pressure P of power unit (1) t When the difference exceeds the threshold, the intelligent control module controls valve (3) to adjust the opening degree V, V=α. p ·△P,△P= P s -P t α p This is the pressure response coefficient.

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