Energy-saving pump operation control method and system

Abstract

The application discloses an energy-saving pump operation control method and system, relates to the field of energy-saving pump operation control, and is used for reducing pump energy consumption, improving pump operation stability, and ensuring that the pump is stably located in an optimal efficiency area in most operation time, and comprises the following steps: obtaining a production plan instruction and a pipeline switching instruction sent by an upper manufacturing execution system; identifying a target pipeline number according to the pipeline switching instruction, and calling predicted system resistance characteristic data corresponding to the target pipeline number from a database; calculating an initial rotating speed adjustment amount of the pump based on the production plan instruction, the predicted system resistance characteristic data and a new target pressure setting value; adjusting the rotating speed of the pump in stages by using the initial rotating speed adjustment amount and a target smooth transition curve; and judging whether the current efficiency of the pump is in the optimal efficiency area; and if not, fine-tuning the target smooth transition curve to guide the pump to approach the optimal efficiency area.

Description

Technical Field

[0001] This invention relates to the field of energy-saving pump operation control, and in particular to an energy-saving pump operation control method and system. Background Technology

[0002] In typical industrial production facilities, pump stations play a crucial role in delivering various liquid media to different process stages. These pumps are usually equipped with variable frequency drives, allowing their speed to be adjusted according to actual flow and pressure requirements, with one of their core objectives being to minimize operating energy consumption.

[0003] However, in modern industrial production, due to frequent adjustments to production plans and pipeline switching, the operating environment of pumps becomes complex and variable. Traditional control methods struggle to effectively address the challenges, leading to increased energy consumption and decreased operational stability. Faced with such frequent adjustments to target pressure setpoints, existing control systems' internal calculation methods for converting control commands into motor frequencies often fall short. These calculation methods are typically designed based on optimizations for relatively stable operating conditions, and their response speed and damping characteristics may not perfectly match rapid and continuous setpoint changes. When a sudden change in the pipeline system's resistance characteristics is superimposed on the pump's own speed adjustment to adapt to the new target pressure setpoint, it triggers more severe pressure oscillations in the pipeline than a single adjustment. These severe pressure oscillations directly affect the current pressure signal measured by the pressure sensor in the outlet pipeline.

[0004] Under these complex and rapidly changing operating conditions, the pressure signals received by the control system are heavily influenced by interference and require frequent adjustments. This makes it difficult for the system to accurately refer to data describing the pump's efficiency under different operating conditions to select and maintain the optimal operating point. As a result, the pump cannot remain stable in its optimal efficiency range for most of the operating time, leading to overall energy consumption far exceeding expectations. Simultaneously, because the control system is constantly adjusting amidst uncertainty and interference, the pump's operational stability faces continuous challenges, which not only affects the smoothness of the production process but may also accelerate equipment wear. Summary of the Invention

[0005] This invention provides an energy-saving pump operation control method to reduce pump energy consumption and improve pump operation stability.

[0006] In a first aspect, in order to solve the above-mentioned technical problems, the present invention provides an energy-saving pump operation control method, comprising: acquiring production plan instructions and pipeline switching instructions issued by a host manufacturing execution system;

[0007] Based on the pipeline switching command, identify the target pipeline number and retrieve the expected system resistance characteristic data corresponding to the target pipeline number from the database;

[0008] Based on production plan instructions, expected system resistance characteristics data, and new target pressure setpoints, calculate the initial speed adjustment of the pump;

[0009] The pump speed is adjusted in stages using an initial speed adjustment amount and a target smooth transition curve;

[0010] Determine if the pump's current efficiency is within the optimal efficiency range; if not, fine-tune the target smooth transition curve to guide the pump closer to the optimal efficiency range.

[0011] This technical solution effectively addresses the complex operating conditions caused by frequent adjustments to production plans and pipeline switching. By dynamically adjusting the pump speed and combining it with efficiency optimization, it significantly reduces energy consumption, improves operational stability, and ensures that the pump remains stable in its optimal efficiency range for most of the operating time.

[0012] Furthermore, the energy-saving pump operation control method also includes:

[0013] Calculate the instantaneous change in local resistance of the pipeline and incorporate the instantaneous change as a dynamic correction term into the pump speed command;

[0014] The initial speed adjustment of the pump is calculated based on the instantaneous change, production plan instructions, expected system resistance characteristics data, and the new target pressure setting.

[0015] This technical solution enables more precise capture of instantaneous changes in pipeline resistance, thereby making pump speed adjustments more timely and accurate, and further improving the response speed and adaptability of the control system.

[0016] More specifically, in some implementation schemes, the instantaneous change in local resistance of the pipeline is calculated, including:

[0017] Determine the instantaneous change using the formula for instantaneous change;

[0018] The formula for instantaneous change is: h_L = K * (Q^2);

[0019] Where h_L is the instantaneous change; K is the local resistance coefficient; and Q is the instantaneous flow rate.

[0020] This technical solution provides a specific method for calculating instantaneous changes, enabling the system to quantify the dynamic impact of local pipeline resistance and providing a reliable basis for subsequent speed correction.

[0021] Preferably, the energy-saving pump operation control method further includes:

[0022] Determine the current efficiency of the pump based on the pump efficiency formula;

[0023] The pump efficiency formula is: η = (P_out*Q_out) / P_in;

[0024] Where P_out is the outlet pressure, Q_out is the flow rate, and P_in is the motor input power.

[0025] This technical solution enables real-time and accurate assessment of pump operating efficiency, providing data support for subsequent efficiency optimization and fine-tuning, and ensuring that the pump always operates within its high-efficiency range.

[0026] Based on the above, this application further proposes that the method includes:

[0027] When the actual pressure is greater than or equal to the expected pressure, the first smooth transition curve is determined as the target smooth transition curve.

[0028] When the actual pressure is less than the expected pressure, the second smooth transition curve is determined as the target smooth transition curve.

[0029] This technical solution enables the intelligent selection of different smooth transition curves based on the relationship between actual and expected pressure, thereby achieving smoother and more precise speed adjustment under different operating conditions and avoiding pressure fluctuations.

[0030] Furthermore, the first smooth transition curve is as follows:

[0031] N(t)=N_start+(N_target-N_start)*f(t / T_switch);

[0032] Where N(t) is the speed command at time t of the first smooth transition curve, N_start is the starting speed, N_target is the target speed, f(x) is the smoothing function, f(x)=0.5*(1-cos(πx)), and T_switch is the total switching time.

[0033] This technical solution provides a specific smoothing function form, ensuring the stability of pump speed during switching and effectively suppressing pressure shocks caused by sudden changes in speed.

[0034] Based on this, the method also includes:

[0035] Determine the dynamic correction factor;

[0036] The first smooth transition curve is corrected based on the dynamic correction factor to obtain the second smooth transition curve.

[0037] This technical solution introduces a dynamic correction factor, enabling the system to adaptively adjust the smooth transition curve according to real-time operating conditions, further improving the flexibility and accuracy of control.

[0038] As a technological improvement, the method also includes:

[0039] Determine the dynamic correction factor based on the dynamic correction factor formula;

[0040] The dynamic correction factor formula is: K_accel=1+C1*|ΔP_avg|+C2*|d(ΔP) / dt|

[0041] Where C1 and C2 are preset gain coefficients, ΔP_avg is the average value of the instantaneous deviation between the actual pressure and the expected pressure within the preset sliding time window, and d(ΔP) / dt is the rate of change of the instantaneous deviation between the actual pressure and the expected pressure within the preset sliding time window.

[0042] This technical solution provides a method for quantifying dynamic correction factors, enabling the system to more intelligently adjust the pump's operating strategy based on the average value and rate of change of pressure deviation in order to cope with complex dynamic changes.

[0043] As a further improvement, the second smooth transition curve is: N_new(t) = N(t) + ΔN_shape(t);

[0044] Where N_new(t) is the speed command at time t of the second smooth transition curve, N(t) is the speed command at time t of the first smooth transition curve, and ΔN_shape(t) is a quadratic function related to the dynamic correction factor.

[0045] This technical solution provides a specific method for constructing a second smooth transition curve, enabling the pump to adjust its speed with a more optimized curve when an accelerated response is required, thereby further improving the system's response speed and stability.

[0046] Secondly, the present invention provides an energy-saving pump operation control system, the system comprising:

[0047] The acquisition module is used to acquire production plan instructions and pipeline switching instructions issued by the host manufacturing execution system;

[0048] The identification module is used to identify the target pipeline number according to the pipeline switching command, and retrieve the expected system resistance characteristic data corresponding to the target pipeline number from the database;

[0049] The calculation module is used to calculate the initial speed adjustment of the pump based on production plan instructions, expected system resistance characteristic data, and new target pressure setpoints.

[0050] The adjustment module is used to adjust the pump speed in stages using a target smooth transition curve;

[0051] The judgment module is used to determine whether the pump's current efficiency is in the optimal efficiency range; if it is not in the optimal efficiency range, the target smooth transition curve is finely adjusted to guide the pump closer to the optimal efficiency range.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] The energy-saving pump operation control method disclosed in this application can respond promptly to changes in production demand by acquiring production plan instructions and pipeline switching instructions issued by the upper-level manufacturing execution system. By identifying the target pipeline number according to the pipeline switching instruction and retrieving the corresponding expected system resistance characteristic data, this application can predict changes in pipeline resistance, thereby avoiding severe pressure fluctuations caused by pipeline switching. On this basis, the initial speed adjustment of the pump is calculated based on the production plan instruction, expected system resistance characteristic data, and the new target pressure setpoint, so that the pump speed adjustment can fully consider multiple factors and achieve more precise control. By adjusting the pump speed in stages using the initial speed adjustment and the target smooth transition curve, the lag or overshoot phenomenon that may occur in traditional control methods when the setpoint changes rapidly is effectively avoided, and the pressure fluctuations in the pipeline are significantly reduced. More importantly, by judging whether the pump's current efficiency is in the optimal efficiency range and making fine adjustments to guide the pump closer to the optimal efficiency range, this application overcomes the problem in the prior art that the pump cannot stabilize in the optimal efficiency range due to complex operating conditions, thereby significantly reducing the overall operating energy consumption. In summary, the method of this application effectively solves the problems of high energy consumption, poor operational stability, and difficulty in maintaining optimal efficiency of pumps under complex and rapidly changing operating conditions in the prior art, and achieves energy-saving, stable and efficient pump operation control. Attached Figure Description

[0054] Figure 1 This is a schematic flowchart of an energy-saving pump operation control method provided in an embodiment of the present invention;

[0055] Figure 2 This is a schematic diagram of another energy-saving pump operation control method provided in an embodiment of the present invention;

[0056] Figure 3 This is a schematic diagram of an energy-saving pump operation control system provided in an embodiment of the present invention. Detailed Implementation

[0057] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments. The components of this application described and shown in the accompanying drawings can generally be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0058] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0059] To better understand the energy-saving pump operation control method proposed in this application, it is necessary to explain some key terms and implementation environments involved.

[0060] Among them, the "supervisor manufacturing execution system" usually refers to the information system in the factory automation level that is responsible for production process management and scheduling, and sends production tasks and operation instructions to the lower control system (such as the pump control system).

[0061] "Production planning instructions" are generated by the higher-level system based on production needs. They contain information such as target output, product type, and process parameters, which will indirectly or directly affect the target operating pressure and flow rate of the pump.

[0062] "Pipeline switching instructions" indicate which specific pipeline the pump system needs to deliver fluid to, which is usually accompanied by valve opening and closing operations.

[0063] The "target pipeline number" is a unique code used to identify different delivery pipelines. The physical characteristics of the corresponding pipeline can be found through this number.

[0064] "Expected system resistance characteristic data" refers to pre-stored data describing the resistance loss of different pipelines at different flow rates. This data can be obtained through experimental measurement or fluid dynamics calculation and is an important basis for predicting pump operating conditions.

[0065] The "target pressure setpoint" is the pressure target that needs to be maintained at the pump outlet, which will change dynamically according to the production process requirements.

[0066] "Initial speed adjustment" is the initial adjustment range of the pump speed calculated based on the current operating conditions and the target operating conditions.

[0067] The "target smooth transition curve" is a preset speed change trajectory designed to make the pump speed adjustment process smooth and shock-free. The "optimal efficiency range" refers to the operating range in which the pump's hydraulic efficiency reaches its highest or near-highest level at a specific speed and flow rate.

[0068] In typical industrial production facilities, pump stations play a crucial role in transporting various liquid media to different process stages. These pumps are typically equipped with variable frequency drives (VFDs), allowing their speed to be adjusted according to actual flow and pressure requirements, with one of their core objectives being to minimize operating energy consumption. However, in modern industrial production, due to frequent adjustments to production plans and pipeline switching, the pump operating environment becomes complex and variable. Traditional control methods struggle to effectively address the challenges this presents, leading to increased energy consumption and decreased operational stability. Faced with such frequent adjustments to target pressure setpoints, existing control systems often struggle to fully adapt by converting control commands into motor frequencies. These calculation methods are usually designed based on optimizations for relatively stable operating conditions, and their response speed and damping characteristics may not perfectly match rapid and continuous changes in setpoints. When a sudden change in the resistance characteristics of the pipeline system is superimposed on the pump's own speed adjustment to adapt to the new target pressure setpoint, it can trigger more severe pressure oscillations in the pipeline than a single adjustment. These severe pressure oscillations directly affect the current pressure signal measured by the pressure sensor in the outlet pipeline. Under these complex and rapidly changing operating conditions, the pressure signals received by the control system are heavily influenced by interference and require frequent adjustments. This makes it difficult for the system to accurately refer to data describing the pump's efficiency under different operating conditions to select and maintain the optimal operating point. As a result, the pump cannot remain stable in its optimal efficiency range for most of the operating time, leading to overall energy consumption far exceeding expectations. Simultaneously, because the control system is constantly adjusting amidst uncertainty and interference, the pump's operational stability faces continuous challenges, which not only affects the smoothness of the production process but may also accelerate equipment wear.

[0069] Therefore, the following specific embodiments will be used to provide a detailed introduction and explanation of the energy-saving pump operation control method provided in this application.

[0070] Reference Figure 1 This invention provides an energy-saving pump operation control method, comprising the following steps:

[0071] S1: Obtain production plan instructions and pipeline switching instructions issued by the host manufacturing execution system.

[0072] Among them, the Manufacturing Execution System (MES), as the core of production management, generates and issues corresponding instructions based on the current production tasks and process requirements.

[0073] For example, the MES can send these instructions to the pump's local controller via industrial communication protocols such as OPC UA (Open Platform UA) or Modbus TCP / IP. These instructions can be structured data packets containing information such as the production batch number, target product code, expected flow or pressure range, and the pipeline number to be activated.

[0074] For example, when a production line needs to switch from producing product A to producing product B, the MES (Manufacturing Execution System) will issue a new production plan instruction, which may include a higher target pressure setpoint. Simultaneously, it will issue a pipeline switching instruction, directing the pump system to deliver fluid to another pipeline with different resistance characteristics. The communication module in the pump's control system continuously receives instructions from the MES. Once a new instruction is received, it is parsed and stored to provide a basis for subsequent control decisions.

[0075] S2. Based on the pipeline switching command, identify the target pipeline number and retrieve the expected system resistance characteristic data corresponding to the target pipeline number from the database.

[0076] The database stores the expected system resistance characteristics data corresponding to different target pipeline numbers.

[0077] As one possible implementation, upon receiving a pipeline switching command, the control system extracts the target pipeline number. For example, the command might contain a field such as "PipeID: 003," indicating a switch to pipeline number 003. Detailed information on all pipelines is pre-stored in an internal or connected external database within the control system, including their geometry, valve configuration, and projected system resistance characteristics at different flow rates. This data is typically stored in lookup tables or mathematical models (such as the Hazen-Williams or Darcy-Weisbach formulas). Once the target pipeline number is identified, the system queries the database to retrieve the pressure loss versus flow rate curves or parameters for that pipeline at different flow rates.

[0078] For example, for pipeline 003, the database might store a series of data points, such as resistance R1 at flow rate Q1 and resistance R2 at flow rate Q2. This data is crucial information for predicting the external resistance the pump needs to overcome after switching to a new pipeline.

[0079] S3. Based on production plan instructions, expected system resistance characteristic data, and new target pressure setpoint, calculate the initial speed adjustment of the pump.

[0080] Specifically, the production planning instruction will provide a new target pressure setpoint, for example, adjusting it from 0.5 MPa to 0.8 MPa. Combining this with the projected system resistance characteristic data retrieved from the database, the control system can estimate the flow rate and head the pump needs to provide under the new target pressure. For example, if the target pressure setpoint is P_target, and the projected system resistance characteristic data indicates a resistance of H_loss(Q_est) at a flow rate Q_est, then the pump head H_pump needs to satisfy: H_pump = P_target / ρg + H_loss(Q_est). Based on the pump's performance curves (usually given as a family of head-flow-speed curves), the system can preliminarily calculate the initial pump speed N_initial required to achieve that head and flow rate. The initial speed adjustment is the difference between N_initial and the current speed N_current.

[0081] S4. Adjust the pump speed in stages using the initial speed adjustment amount and the target smooth transition curve.

[0082] Specifically, to avoid sudden changes in speed from impacting the system, the pump speed is not adjusted in one step, but rather according to a preset target smooth transition curve.

[0083] The target smooth transition curve can be an S-shaped curve, an exponential curve, or a polynomial curve. Its purpose is to smoothly transition the pump speed from the current value to the target value within a certain period of time.

[0084] For example, if the initial speed adjustment is large, the system will select a longer transition time and gradually increase or decrease the speed according to an S-shaped curve to ensure smooth changes in flow and pressure. Based on this curve, the control system will generate a speed command at each time step and send it to the frequency converter, which will then drive the motor to adjust the pump speed. This staged adjustment method effectively suppresses water hammer and pressure fluctuations in the pipeline.

[0085] One possible approach is to adjust the initial speed corresponding to the target smooth transition curve based on the initial speed adjustment amount, and then adjust the pump speed in stages based on the adjusted initial speed and the target smooth transition curve.

[0086] Specifically, when the actual pressure is greater than or equal to the expected pressure, the first smooth transition curve is determined as the target smooth transition curve.

[0087] When the actual pressure is less than the expected pressure, the second smooth transition curve is determined as the target smooth transition curve.

[0088] It should be noted that the specific explanation of this part can be found in the following sections, and will not be repeated here.

[0089] S5. Determine if the pump's current efficiency is in the optimal efficiency range; if not, fine-tune the target smooth transition curve to guide the pump closer to the optimal efficiency range.

[0090] Specifically, during pump operation, the control system monitors parameters such as pump outlet pressure, flow rate, and motor input power in real time, and calculates the pump's current operating efficiency based on these parameters. For example, it acquires P_out, Q_out, and P_in through sensors, and then calculates η = (P_out * Q_out) / P_in. Simultaneously, the system stores the pump's efficiency profile or the definition of its optimal efficiency range. By comparing the current efficiency with the optimal efficiency range, the system can determine whether the pump is operating in its optimal state.

[0091] If the current efficiency deviates from the optimal efficiency range—for example, if the efficiency falls below a preset threshold—the control system will fine-tune the target smooth transition curve. This fine-tuning can involve small adjustments to the shape or endpoint of the curve to slightly alter the pump's speed or flow rate, thereby guiding the pump's operating point towards the optimal efficiency range. For instance, if the pump is found to be less efficient at the current speed, the system can increase or decrease the speed by preset steps and observe the change in efficiency. Through iterative optimization, the pump can gradually approach its optimal efficiency point.

[0092] The energy-saving pump operation control method proposed in this application forms a highly efficient and stable control closed loop through the synergistic effect of the aforementioned technical features. When the host manufacturing execution system issues new production plan instructions and pipeline switching instructions, the control system can respond quickly, acquiring and parsing these instructions. By identifying the target pipeline number, the system can accurately retrieve the expected system resistance characteristic data of the corresponding pipeline from the pre-stored database, providing accurate external load information for subsequent speed calculations. Based on this information, and the new target pressure setpoint, the system can calculate the initial speed adjustment of the pump, thereby determining the new operating state that the pump needs to achieve.

[0093] To ensure a smooth speed adjustment process, the system employs an initial speed adjustment amount and a target smooth transition curve to adjust the pump speed in stages. This smooth transition mechanism effectively avoids pipeline pressure shocks and water hammer effects caused by sudden speed changes, protecting the equipment and maintaining the stability of the production process. During the pump speed adjustment process, the system continuously judges whether the pump's current efficiency is within its optimal efficiency range. This real-time monitoring and judgment mechanism is the core of achieving energy-saving operation. If the pump's current efficiency is not within the optimal efficiency range, the system intelligently fine-tunes the target smooth transition curve. This fine-tuning is not blind but based on an understanding of the pump's performance curve and efficiency spectrum, aiming to guide the pump's operating point closer to the optimal efficiency range. In this way, even under complex operating conditions, the pump can maintain a highly efficient operating state as much as possible, thereby significantly reducing overall energy consumption.

[0094] Compared with traditional pump control methods, the energy-saving pump operation control method of this application has significant advantages. Traditional control methods often rely on fixed PID parameters or simple open-loop control, which are difficult to adapt to the complex operating conditions caused by frequent adjustments to production plans and pipeline switching. When the target pressure setpoint changes frequently or the pipeline resistance characteristics change suddenly, traditional systems may experience response lag, overshoot, or continuous oscillation, causing the pump to deviate from its optimal efficiency point for a long time, resulting in high energy consumption and poor operational stability.

[0095] This application introduces direct acquisition of commands from the host manufacturing execution system and dynamic retrieval of expected system resistance characteristic data, enabling the control system to anticipate and adapt to impending changes in operating conditions, rather than reacting passively. For example, before pipeline switching, the system acquires the resistance characteristics of the new pipeline, allowing for more accurate calculation of the initial speed adjustment, avoiding the lag and shock caused by gradual adjustments after switching in traditional methods. Furthermore, using a target smooth transition curve to adjust the speed in stages effectively solves the pressure oscillation problem that may occur during rapid adjustments in traditional methods, ensuring operational stability. Most importantly, this application introduces real-time judgment of the pump's current efficiency and a fine-tuning mechanism for the target smooth transition curve. This innovation allows the pump to continuously approach the optimal efficiency region under dynamically changing operating conditions, thereby minimizing energy consumption while ensuring production needs are met. This proactive efficiency optimization strategy is not available in traditional methods; it significantly improves the overall pump operating efficiency, reduces operating costs, and extends equipment life. Therefore, the technical solution of this application demonstrates significant progress in energy saving, stability, and adaptability.

[0096] In some embodiments described above, the initial pump speed adjustment is calculated based on production plan instructions, expected system resistance characteristic data, and a new target pressure setpoint. However, in actual operation, local pipeline resistance may change instantaneously, such as due to sudden changes in valve opening, pipeline blockage, or fluctuations in fluid properties. If these instantaneous changes are not detected by the system in a timely manner and incorporated into control considerations, the pump's operation may deviate from optimal conditions, affecting control accuracy and energy-saving effects. To address this, this application further proposes an optimization scheme: by calculating the instantaneous change in local pipeline resistance in real time and incorporating it as a dynamic correction term into the pump speed command, and by also considering this instantaneous change when calculating the initial pump speed adjustment, the system's adaptability to dynamic operating conditions is enhanced.

[0097] In one possible design, such as Figure 2 As shown, in order to calculate the initial speed adjustment of the pump, this application may further include the following steps:

[0098] S101. Calculate the instantaneous change in local resistance of the pipeline and incorporate the instantaneous change as a dynamic correction term into the pump speed command.

[0099] The calculation of the instantaneous change in local pipeline resistance refers to the real-time monitoring and quantification of the resistance generated in a specific local area of ​​the pipeline due to changes in fluid flow characteristics or geometric structure. This instantaneous change reflects the dynamic characteristics of the current pipeline operating conditions, such as minor adjustments to valve opening or instantaneous fluctuations in fluid viscosity. By incorporating this instantaneous change as a dynamic correction term into the pump speed command, the pump speed adjustment no longer relies solely on a preset smooth transition curve, but can be adjusted in real-time and with precision based on the actual dynamic resistance changes in the pipeline, thereby ensuring that the pump operation more closely follows the actual operating conditions.

[0100] Specifically, the instantaneous change can be determined using the formula for instantaneous change.

[0101] The formula for instantaneous change is:

[0102] h_L=K*(Q^2);

[0103] Where h_L is the instantaneous change; K is the local resistance coefficient; and Q is the instantaneous flow rate.

[0104] Specifically, the instantaneous change h_L refers to the instantaneous value of energy loss or pressure drop caused by local resistance (such as valves, elbows, diameter changes, etc.) in a pipeline system.

[0105] The local resistance coefficient K is a constant characterizing the resistance characteristics of a specific pipeline component. Its value is usually obtained through experiments or empirical formulas and is related to factors such as the geometry and size of the pipeline component and the fluid properties. Instantaneous flow rate Q refers to the volumetric flow rate of the fluid passing through the pipeline at a specific moment. This formula allows for real-time, quantitative assessment of the impact of local pipeline resistance on the system's operating state.

[0106] Thus, by introducing a clear formula for instantaneous change, h_L=K*(Q^2), the instantaneous change in local pipeline resistance can be accurately quantified and calculated. In the aforementioned energy-saving pump operation control method, this instantaneous change is incorporated as a dynamic correction term into the pump's speed command. By accurately calculating the instantaneous change, the system resistance fluctuations caused by changes in local resistance during actual operation can be reflected more precisely. Consequently, the pump's speed adjustment can respond to these dynamic changes more promptly and accurately, thereby avoiding system pressure deviations caused by changes in local resistance and ensuring that the pump always operates close to its optimal efficiency.

[0107] Thus, because the instantaneous change in local pipeline resistance is clearly defined and calculated, the dynamic correction of pump speed commands becomes more accurate and reliable. This helps the system more effectively respond to instantaneous changes in pipeline operating conditions, such as valve opening adjustments and fluid viscosity changes, thereby improving the real-time performance and accuracy of pump operation control. Ultimately, this solution can further optimize pump operating efficiency, reduce energy consumption, and extend equipment lifespan, while ensuring system pressure stability and smooth production processes.

[0108] S102. Calculate the initial speed adjustment of the pump based on the instantaneous change, production plan instructions, expected system resistance characteristic data, and the new target pressure setting.

[0109] Specifically, the production planning instruction will provide a new target pressure setpoint, for example, adjusting it from 0.5 MPa to 0.8 MPa. Combining this with projected system resistance characteristic data retrieved from the database, the control system can estimate the flow rate and head the pump needs to provide under the new target pressure. For example, if the target pressure setpoint is P_target, and the projected system resistance characteristic data indicates that the resistance at flow rate Q_est is H_loss(Q_est), then H_loss(Q_est) is corrected using the instantaneous change H2, resulting in a resistance of H_loss(Q_est) + H2 at flow rate Q_est.

[0110] Therefore, the pump head H_pump needs to satisfy: H_pump = P_target / ρg + H_loss(Q_est) + H2. Based on the pump's performance curves (usually given in the form of a family of head-flow-speed curves), the system can initially calculate the initial pump speed N_initial required to achieve this head and flow rate. The initial speed adjustment is the difference between N_initial and the current speed N_current.

[0111] This application's solution addresses the problem of insufficient response in traditional control methods to dynamic changes in the pipeline system by introducing the calculation of instantaneous changes in local pipeline resistance and effectively integrating it into the calculation of pump speed commands and initial speed adjustments. When an instantaneous change occurs in the local pipeline resistance, the system can immediately sense and quantify this change, using it as a dynamic correction term directly applied to the pump speed command, thereby achieving rapid and precise adjustment of the pump speed. Simultaneously, this instantaneous change is also considered when calculating the initial speed adjustment, ensuring that the pump obtains a speed setting more consistent with actual operating conditions at startup or during mode switching, avoiding control deviations caused by information lag.

[0112] Through the above technical solutions, the pump's operation control system achieves significantly enhanced real-time adaptability and dynamic response capabilities. Especially when local pipeline resistance changes instantaneously, the pump's speed adjustment can respond more quickly and accurately, effectively avoiding pressure fluctuations, flow instability, or unnecessary energy consumption caused by delayed adjustments. Furthermore, by incorporating instantaneous changes into the calculation of initial speed adjustments, it can be ensured that the pump operates at a speed closer to its optimal state during startup or operating condition switching, further improving the system's operational stability, control accuracy, and overall energy-saving effect.

[0113] In some preferred embodiments, it is assumed that an energy-saving pump system is operating according to a production plan and maintaining a target pressure setpoint. At a certain moment, due to a production process adjustment, a downstream valve is partially closed, causing a momentary increase in local pipeline resistance. According to the solution of this application, the control system immediately calculates the momentary change in local pipeline resistance. This momentary change is then used as a dynamic correction term and incorporated into the pump speed command in real time, enabling the pump speed to increase rapidly to overcome the increased resistance and maintain the target pressure. Simultaneously, if it is necessary to recalculate the initial pump speed adjustment based on a new production plan or target pressure setpoint, this momentary change will also be included in the calculation, ensuring that the new initial speed adjustment fully considers the current actual pipeline resistance, making subsequent pump operation adjustments smoother and more efficient.

[0114] Specifically, in the above-mentioned energy-saving pump operation control method, in order to accurately determine the current efficiency of the pump, this application further proposes a specific method for determining the current efficiency of the pump.

[0115] The above methods also include:

[0116] Determine the current efficiency of the pump based on the pump efficiency formula;

[0117] The pump efficiency formula is:

[0118] η = (P_out*Q_out) / P_in;

[0119] Where P_out is the outlet pressure, Q_out is the flow rate, and P_in is the motor input power.

[0120] The pump efficiency formula η quantifies the pump's ability to convert input power into effective output power. P_out can be understood as the fluid pressure at the pump outlet, reflecting the work done by the pump against system resistance. Q_out refers to the volume of fluid delivered by the pump per unit time, i.e., the flow rate. P_in refers to the electrical power consumed by the motor driving the pump, representing the total energy input of the pump system. By measuring and substituting these parameters, the instantaneous operating efficiency of the pump can be accurately calculated.

[0121] This application's solution, by clearly defining the calculation method for pump efficiency, provides a quantitative basis for subsequently determining whether the pump's current efficiency is within its optimal efficiency range. In actual operation, by real-time monitoring of the pump's outlet pressure P_out, flow rate Q_out, and motor input power P_in, and substituting these values ​​into the aforementioned pump efficiency formula, the pump's real-time operating efficiency η can be obtained. This allows for accurate assessment of the pump's operating status, providing reliable data support for subsequent efficiency judgment and speed fine-tuning. This explicit calculation method ensures the accuracy and consistency of efficiency assessment, forming the foundation for achieving energy-saving pump operation control.

[0122] By employing the aforementioned technical solution, the pump's current efficiency is precisely quantified and determined, making the assessment of the pump's operating status more accurate and reliable. This helps the system more effectively identify whether the pump has deviated from its optimal efficiency range, enabling timely fine-tuning to guide the pump closer to its optimal efficiency, ultimately achieving long-term, high-efficiency, and energy-saving operation, reducing energy consumption, and extending equipment lifespan.

[0123] In some embodiments described above, a phased adjustment of the pump speed using a target smooth transition curve is proposed. However, in actual operation, the pipeline system may experience dynamic changes, leading to deviations between the actual and expected pressures. If the target smooth transition curve fails to adaptively adjust to these dynamic changes, it may result in decreased pump efficiency or even affect system stability. Therefore, this application further proposes a scheme to dynamically determine the target smooth transition curve based on the relationship between the actual and expected pressures, ensuring efficient and stable pump operation under various operating conditions.

[0124] In one possible design, specifically, the above methods include:

[0125] S201. When the actual pressure is greater than or equal to the expected pressure, the first smooth transition curve is determined as the target smooth transition curve.

[0126] The actual pressure refers to the outlet pressure value monitored in real time by the pressure sensor under the current operating conditions of the pump. The expected pressure can be understood as the outlet pressure value that the pump should reach under ideal operating conditions, predicted based on production plan instructions, expected system resistance characteristic data, and new target pressure setpoints.

[0127] Specifically, the first smooth transition curve is:

[0128] N(t)=N_start+(N_target-N_start)*f(t / T_switch);

[0129] Where N(t) is the speed command at time t of the first smooth transition curve, which defines the speed that the pump should reach at a specific time point. N_start is the starting speed, N_target is the target speed, f(x) is the smoothing function, f(x) = 0.5 * (1 - cos(πx)), and T_switch is the total switching time, representing the total time required to adjust from the starting speed N_start to the target speed N_target.

[0130] Thus, by employing the aforementioned specific form of the first smooth transition curve, the pump speed can be smoothly and gradually adjusted when the actual pressure is greater than or equal to the expected pressure. This curve utilizes the characteristics of the smoothing function f(x) to ensure that the pump speed command N(t) exhibits a continuous and abrupt transition throughout the total switching time T_switch. Specifically, as t changes from 0 to T_switch, the value of f(t / T_switch) smoothly transitions from 0 to 1, thereby allowing the pump speed command N(t) to smoothly transition from the initial speed N_start to the target speed N_target. This smooth speed adjustment mechanism helps avoid mechanical shock or water hammer effects caused by sudden speed changes, thereby protecting the pump equipment and piping system and maintaining system operational stability.

[0131] Thus, this application provides a precise and predictable smooth transition mechanism for pump speed. This mechanism ensures that when speed adjustments are needed during pump operation, the speed change is gradual and continuous, significantly reducing system instability and equipment wear that may result from sudden speed changes. This not only improves the operational reliability and service life of the pump system but also optimizes energy consumption, achieving more efficient and stable energy-saving pump operation control.

[0132] S202. When the actual pressure is less than the expected pressure, the second smooth transition curve is determined as the target smooth transition curve.

[0133] The first and second smooth transition curves are two different speed adjustment trajectories, pre-designed or dynamically generated, each suitable for different pressure deviation situations. For example, the first smooth transition curve can be a relatively gentle speed increase or decrease curve, suitable for situations where the system pressure is sufficient or slightly higher than expected; while the second smooth transition curve can be a more aggressive or faster-responding speed adjustment curve, suitable for situations where the system pressure is insufficient and a rapid increase in pump performance is needed to meet demand. In this way, the appropriate speed adjustment strategy can be flexibly selected according to the actual operating conditions.

[0134] Specifically, a dynamic correction factor can be determined, and the first smooth transition curve can be corrected based on the dynamic correction factor to obtain the second smooth transition curve.

[0135] This application's solution introduces a comparison mechanism between actual and expected pressure to achieve adaptive selection of the target smooth transition curve. When the actual pressure is greater than or equal to the expected pressure, it indicates that the system pressure supply is sufficient or slightly excessive. In this case, using the first smooth transition curve for speed adjustment can maintain stable pump operation and may tend towards a smoother or more energy-efficient adjustment method. Conversely, when the actual pressure is less than the expected pressure, it indicates that the system pressure is insufficient, requiring the pump to respond quickly to increase the pressure. In this case, using the second smooth transition curve for speed adjustment can prompt the pump to reach the target pressure setpoint more quickly, thereby avoiding production interruptions or efficiency reductions due to insufficient pressure. Thus, this solution can dynamically adjust the pump's speed transition strategy according to real-time changes in operating conditions, ensuring that the pump always operates in the mode most suitable for the current system requirements.

[0136] Through the above technical solution, this application effectively solves the problem that the target smooth transition curve lacks adaptability in traditional solutions, leading to low pump efficiency or slow response under dynamic operating conditions. By intelligently selecting either the first or second smooth transition curve based on the comparison between actual and expected pressure, the pump speed adjustment process can be made more precise and flexible. This not only improves the system's adaptability to external disturbances, ensuring the continuity and stability of the production process, but also helps the pump operate closer to its optimal efficiency range, thereby achieving significant energy savings and superior operating performance.

[0137] In some preferred embodiments, a specific example is given below. Suppose that in a production scenario, the supervisory control and execution system (SCADA) issues a pipeline switching command, requiring the pump to switch from its current operating condition to a new target pressure setpoint. The system first calculates the expected pressure after the switch based on the new target pressure setpoint and anticipated system resistance characteristics. During the switch, if the actual pressure monitored by the pressure sensor remains higher than or equal to the expected pressure—for example, due to the actual pipeline resistance being lower than expected—the system selects a first smooth transition curve to adjust the pump speed. This first smooth transition curve may be designed as a relatively gentle acceleration or deceleration process to avoid unnecessary energy consumption and maintain a smooth system transition. Conversely, if the actual pressure remains lower than the expected pressure—for example, due to an unexpected increase in local resistance in the pipeline or a sudden increase in downstream demand—the system immediately selects a second smooth transition curve to adjust the pump speed. This second smooth transition curve may be designed with a faster rate of change of speed to quickly increase the pump's head and flow rate, thereby rapidly compensating for insufficient pressure and ensuring that the production process is not affected. Through this dynamic selection mechanism, the pump's operation control can better adapt to the complexity and uncertainty of actual working conditions, thereby improving the system's robustness and energy efficiency.

[0138] In some embodiments described above in this application, a second smooth transition curve is proposed as the target smooth transition curve when the actual pressure is lower than the expected pressure. However, in its implementation, if the second smooth transition curve is merely a pre-set fixed curve, or if its generation method fails to fully consider the real-time dynamic changes of the system, the pump speed adjustment may not be flexible enough, making it difficult to respond quickly and accurately to sudden changes in operating conditions. This could affect the system's pressure stability and control accuracy, and may even cause the pump to deviate from its optimal efficiency range.

[0139] In this regard, this application further proposes that the above-mentioned method also includes:

[0140] S301. Determine the dynamic correction factor.

[0141] Specifically, the dynamic correction factor can be understood as a real-time adjustment parameter designed to quantify the deviation between the current operating state and the ideal state of the system, and provide a correction amount accordingly. This correction factor can reflect the instantaneous change trend or cumulative deviation of the system pressure, thus providing more precise guidance for adjusting the pump speed.

[0142] Specifically, the dynamic correction factor can be determined based on the dynamic correction factor formula;

[0143] The formula for the dynamic correction factor is:

[0144] K_accel=1+C1*|ΔP_avg|+C2*|d(ΔP) / dt|

[0145] Where C1 and C2 are preset gain coefficients, ΔP_avg is the average value of the instantaneous deviation between the actual pressure and the expected pressure within the preset sliding time window, and d(ΔP) / dt is the rate of change of the instantaneous deviation between the actual pressure and the expected pressure within the preset sliding time window.

[0146] Specifically, the dynamic correction factor K_accel is a parameter used to adjust the pump speed transient process, and its value reflects the system's responsiveness to pressure deviations. C1 and C2 are preset gain coefficients, which can be empirically set or obtained through system identification based on specific system characteristics, response speed requirements, and control accuracy needs. ΔP_avg is the average instantaneous deviation between the actual pressure and the expected pressure within a preset sliding time window; this average value reflects the persistence and overall trend of the system pressure deviation. d(ΔP) / dt is the rate of change of the instantaneous deviation between the actual pressure and the expected pressure within the preset sliding time window; this rate of change reflects the instantaneous speed and direction of the system pressure deviation. By combining the average deviation and the rate of change of deviation, the system pressure state can be more comprehensively assessed, thereby achieving more refined dynamic correction.

[0147] Thus, by introducing a dynamic correction factor K_accel, and calculating this factor based on the deviation between the actual and expected pressures and their rate of change, the correction of the first smooth transition curve can dynamically adapt to changes in system operating conditions. When there is a large deviation between the actual and expected pressures, or when the deviation changes rapidly, the value of the dynamic correction factor K_accel will increase accordingly, making the adjustment of pump speed more rapid and effective to quickly eliminate pressure deviations. Conversely, when the pressure deviation is small or changes gradually, the value of the dynamic correction factor K_accel will decrease, making speed adjustment smoother and avoiding over-response. This dynamic correction mechanism based on pressure deviation and its rate of change ensures the timeliness and accuracy of pump speed adjustment, effectively addressing transient disturbances in the pipeline system.

[0148] The above technical solution enables precise control of the pump speed adjustment process. The introduction of the dynamic correction factor K_accel allows the system to adaptively adjust the speed transition curve based on the deviation and rate of change between the actual and expected pressures. This ensures stable system operation while improving the response speed and control accuracy to transient changes. Consequently, it effectively avoids system instability or increased energy consumption caused by excessive pressure fluctuations, further enhancing the adaptability and robustness of the energy-saving pump operation control method.

[0149] S302. The first smooth transition curve is corrected according to the dynamic correction factor to obtain the second smooth transition curve.

[0150] The process of modifying the first smooth transition curve to obtain the second smooth transition curve refers to adjusting the speed command based on the first smooth transition curve and incorporating the influence of the dynamic correction factor.

[0151] The second smooth transition curve is: N_new(t) = N(t) + ΔN_shape(t);

[0152] Where N_new(t) is the speed command at time t of the second smooth transition curve, N(t) is the speed command at time t of the first smooth transition curve, and ΔN_shape(t) is a quadratic function related to the dynamic correction factor. For example, it can be a quadratic function that increases the acceleration proportionally to the dynamic correction factor starting from the current time.

[0153] In some preferred embodiments, it is assumed that at a certain moment, the system detects that the actual pressure is significantly lower than the expected pressure, and the pressure drop rate is rapid. According to the dynamic correction factor formula described above, the calculated dynamic correction factor K_accel will be a relatively large value at this time. When determining the second smooth transition curve, N(t) provides the basic smooth transition speed command, while ΔN_shape(t) provides a steeper quadratic acceleration curve based on this larger K_accel value. For example, ΔN_shape(t) can be specifically implemented as K_accel multiplied by a quadratic term of a time variable (such as c * t^2), where c is a preset constant. This means that over time, the pump speed will not only increase according to the basic curve of N(t), but will also be superimposed with an additional acceleration component amplified by K_accel and growing quadratically. This acceleration method allows the pump to rapidly increase its output flow and pressure, thereby quickly compensating for pressure deficits in the system and avoiding production line shutdowns or product quality problems that may be caused by insufficient pressure.

[0154] This application's solution addresses the issue of the second smooth transition curve's potential lack of real-time adaptability in the aforementioned basic solution by introducing a dynamic correction factor and using it to modify the first smooth transition curve to generate a second smooth transition curve. Specifically, when the actual pressure is lower than the expected pressure, the system no longer simply uses a fixed second smooth transition curve. Instead, it dynamically adjusts the first smooth transition curve, originally intended for a smooth transition, based on a real-time determined dynamic correction factor. This adjustment allows the second smooth transition curve to better reflect the current system requirements and pressure deviation, thereby ensuring that the pump speed adjustment process responds more accurately to actual operating conditions and avoids control lag or over-adjustment caused by curve mismatch.

[0155] Through the above technical solutions, the pump operation control method can achieve stronger adaptability and robustness. The introduction of a dynamic correction factor means that the second smooth transition curve is no longer statically preset, but can be adjusted in real time according to the deviation between the actual pressure and the expected pressure and its rate of change. Therefore, when the actual pressure is lower than the expected pressure, the pump speed adjustment process can respond to system demands more quickly, smoothly, and accurately, effectively avoiding pressure fluctuations, improving the system's control accuracy and stability, and helping to maintain the pump operating in a more efficient range, thereby achieving better energy-saving effects.

[0156] like Figure 3 As shown in the figure, this embodiment of the invention also provides an energy-saving pump operation control system. The system includes:

[0157] The acquisition module is used to acquire production plan instructions and pipeline switching instructions issued by the host manufacturing execution system;

[0158] The identification module is used to identify the target pipeline number according to the pipeline switching command, and retrieve the expected system resistance characteristic data corresponding to the target pipeline number from the database;

[0159] The calculation module is used to calculate the initial speed adjustment of the pump based on production plan instructions, expected system resistance characteristic data, and new target pressure setpoints.

[0160] The adjustment module is used to adjust the pump speed in stages using a target smooth transition curve;

[0161] The judgment module is used to determine whether the pump's current efficiency is in the optimal efficiency range; if it is not in the optimal efficiency range, the target smooth transition curve is finely adjusted to guide the pump closer to the optimal efficiency range.

[0162] This application also provides a computer-readable storage medium. All or part of the processes in the above method embodiments can be executed by a computer program instructing related hardware. This program can be stored in the computer-readable storage medium, and when executed, it can include the processes of the above method embodiments. The computer-readable storage medium can be an internal storage unit of the task execution device (including a data sending end and / or a data receiving end) of any of the foregoing embodiments, such as the hard disk or memory of the task execution device. The computer-readable storage medium can also be an external storage device of the terminal device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on the terminal device. Further, the computer-readable storage medium can include both the internal storage unit of the task execution device and an external storage device. The computer-readable storage medium is used to store the computer program and other programs and data required by the task execution device. The computer-readable storage medium can also be used to temporarily store data that has been output or will be output.

[0163] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0164] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, essentially, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0165] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions within the technical scope disclosed in this application should be covered within the scope of protection of this application.

Claims

1. A method for controlling the operation of an energy-saving pump, characterized in that, include: Obtain production plan instructions and pipeline switching instructions issued by the host manufacturing execution system; According to the pipeline switching instruction, the target pipeline number is identified, and the expected system resistance characteristic data corresponding to the target pipeline number is retrieved from the database; Based on the production plan instruction, the expected system resistance characteristic data, and the new target pressure setting, calculate the initial speed adjustment of the pump; The pump speed is adjusted in stages using an initial speed adjustment amount and a target smooth transition curve; Determine whether the pump's current efficiency is within the optimal efficiency range; if not, fine-tune the target smooth transition curve to guide the pump closer to the optimal efficiency range. Calculate the initial speed adjustment of the pump, including: Calculate the instantaneous change in local resistance of the pipeline, and incorporate the instantaneous change as a dynamic correction term into the pump speed command; The initial speed adjustment of the pump is calculated based on the instantaneous change, the production plan instruction, the expected system resistance characteristic data, and the new target pressure setting. When the actual pressure is greater than or equal to the expected pressure, the first smooth transition curve is determined as the target smooth transition curve; When the actual pressure is less than the expected pressure, the second smooth transition curve is determined as the target smooth transition curve; The first smooth transition curve is: N(t)=N_start+(N_target-N_start)*f(t / T_switch); Where N(t) is the speed command at time t of the first smooth transition curve, N_start is the starting speed, N_target is the target speed, f(x) is the smoothing function, f(x) = 0.5 * (1 - cos(πx)), and T_switch is the total switching time; Determine the dynamic correction factor based on the dynamic correction factor formula; The formula for the dynamic correction factor is: K_accel=1+C1*|ΔP_avg|+C2*|d(ΔP) / dt| Where C1 and C2 are preset gain coefficients, ΔP_avg is the average value of the instantaneous deviation between the actual pressure and the expected pressure within the preset sliding time window, and d(ΔP) / dt is the rate of change of the instantaneous deviation between the actual pressure and the expected pressure within the preset sliding time window. The first smooth transition curve is corrected according to the dynamic correction factor to obtain the second smooth transition curve; The second smooth transition curve is: N_new(t) = N(t) + ΔN_shape(t); Wherein, N_new(t) is the speed command at time t of the second smooth transition curve, N(t) is the speed command at time t of the first smooth transition curve, and ΔN_shape(t) is a quadratic function related to the dynamic correction factor.

2. The energy-saving pump operation control method according to claim 1, characterized in that, The instantaneous change in the local resistance of the pipeline is calculated, including: The instantaneous change is determined according to the formula for instantaneous change. The formula for the instantaneous change is: h_L=K*(Q^2); Where h_L is the instantaneous change; K is the local resistance coefficient; and Q is the instantaneous flow rate.

3. The energy-saving pump operation control method according to claim 1, characterized in that, The method further includes: The current efficiency of the pump is determined according to the pump efficiency formula; The pump efficiency formula is: η = (P_out*Q_out) / P_in; Where P_out is the outlet pressure, Q_out is the flow rate, and P_in is the motor input power.

4. An energy-saving pump operation control system, characterized in that, The system, applied to the method of any one of claims 1-3, comprises: The acquisition module is used to acquire production plan instructions and pipeline switching instructions issued by the host manufacturing execution system; The identification module is used to identify the target pipeline number according to the pipeline switching instruction, and retrieve the expected system resistance characteristic data corresponding to the target pipeline number from the database; The calculation module is used to calculate the initial speed adjustment of the pump based on the production plan instruction, the expected system resistance characteristic data, and the new target pressure setpoint. An adjustment module is used to adjust the pump speed in stages using a target smooth transition curve; The judgment module is used to determine whether the current efficiency of the pump is in the optimal efficiency region; if it is not in the optimal efficiency region, the target smooth transition curve is finely adjusted to guide the pump to move closer to the optimal efficiency region.

Images