Self-adaptive control method and system for energy-saving water pump

Abstract

The invention relates to the technical field of water pump control, and provides an energy-saving water pump self-adaptive control method and system.The method comprises the steps that when a cooling water system is in a low production state, in a first time period, an original rotating speed efficiency characteristic curve of a water pump is corrected based on the rotating speed of the water pump in the cooling water system, obtaining a current rotating speed efficiency characteristic curve; in the second time period, the original pipe network resistance characteristic model of each pipeline of the cooling water system is corrected based on the friction coefficient of each pipeline, and a current pipe network resistance characteristic model of each pipeline is obtained; in the third time period, a calibration compensation value of a pressure sensor in the cooling water system is determined; and controlling the water pump based on the calibration compensation value of the pressure sensor, the current rotating speed efficiency characteristic curve and the current pipe network resistance characteristic curve of each pipeline. Water pump control accuracy can be improved, energy waste is reduced, and operation efficiency is improved.

Description

Technical Field

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

[0002] In industrial production, circulating cooling water systems and their associated energy-saving water pump adaptive control devices are crucial for ensuring stable production operation and efficient energy utilization.

[0003] However, under long-term continuous operation, the performance of the water pump itself will change due to wear, the resistance of the water supply network will increase due to the accumulation of sediment, and the critical pressure sensors used for monitoring may produce reading deviations due to aging. These gradual and mutually influential changes make it difficult for the originally designed control system to accurately perceive the true physical state, causing it to deviate from the true energy-saving target during the "adaptation" process, resulting in unnecessary energy waste and decreased operating efficiency. Summary of the Invention

[0004] This application provides an energy-saving water pump adaptive control method and system, which can improve the accuracy of water pump control, reduce energy waste, and improve operating efficiency.

[0005] To achieve the above objectives, this application adopts the following technical solution:

[0006] In a first aspect, this application discloses an adaptive control method for an energy-saving water pump, comprising: acquiring operating information of a cooling water system; determining whether the cooling water system is in a low-production state based on the operating information; when the cooling water system is in a low-production state, within a first time period, correcting the original speed-efficiency characteristic curve of the water pump based on the speed of the water pump in the cooling water system to obtain a current speed-efficiency characteristic curve; the original speed-efficiency characteristic curve or the current speed-efficiency characteristic curve includes a one-to-one correspondence between the speed of the water pump and the efficiency index of the water pump; within a second time period, correcting the original network resistance characteristic model of each pipe in the cooling water system based on the friction coefficient of each pipe to obtain a current network resistance characteristic model of each pipe; within a third time period, determining the calibration compensation value of the pressure sensor in the cooling water system; the first time period, the second time period, and the third time period are different time periods when the cooling water system is in a low-production state; and controlling the water pump based on the calibration compensation value of the pressure sensor, the current speed-efficiency characteristic curve, and the current network resistance characteristic curve of each pipe.

[0007] Through this technical solution, this application can comprehensively consider multiple factors such as pump performance degradation, increased pipeline resistance, and pressure sensor drift, and perform adaptive correction under low system production conditions, thereby achieving precise control of the pump. This effectively solves the problem of suboptimal operation of the existing energy-saving pump adaptive control system, and significantly improves energy-saving effect and operating efficiency.

[0008] Furthermore, the operational information includes the heat load of the equipment to be cooled, the total flow rate of the cooling water system network, the pressure value of the cooling water system network, and the operating time. Based on the operational information, it is determined whether the cooling water system is in a low-production state, including: when the operating time is within a preset time period, determining whether the heat load of the equipment to be cooled is less than a preset heat load threshold within the preset time period; when the heat load of the equipment to be cooled is less than the preset heat load threshold within the preset time period, determining whether the rate of change of the total flow rate of the network is less than a first rate of change threshold within the preset time period; when the rate of change of the total flow rate of the network is less than the first rate of change threshold within the preset time period, determining whether the rate of change of the pressure value of the cooling water system network is less than a second rate of change threshold within the preset time period; when the rate of change of the pressure value of the cooling water system network is less than the second rate of change threshold within the preset time period, it is determined that the cooling water system is in a low-production state; otherwise, it is determined that the cooling water system is not in a low-production state.

[0009] Through this technical solution, this application can comprehensively judge whether the system is in a low production state by using multi-dimensional and multi-time period operation information, avoid misjudgment, and ensure that the correction operation is carried out at the appropriate time, thereby improving the accuracy of correction and the stability of control.

[0010] Based on the above, this application further proposes to correct the original speed-efficiency characteristic curve of the water pump based on the speed of the water pump in the cooling water system to obtain the current speed-efficiency characteristic curve, including: adjusting the speed of the water pump to the minimum speed and obtaining the current index value of the efficiency index of the water pump; correcting the original speed-efficiency characteristic curve of the water pump according to the minimum speed and the current index value to obtain the current speed-efficiency characteristic curve.

[0011] Through this technical solution, this application can obtain actual efficiency indicators at the lowest speed, calibrate the efficiency characteristic curve of the water pump, thereby more accurately reflecting the actual operating performance of the water pump, overcoming performance deviations caused by wear, and providing a more reliable data basis for subsequent energy-saving control.

[0012] Furthermore, the original speed-efficiency characteristic curve of the water pump is corrected based on the minimum speed and the current index value to obtain the current speed-efficiency characteristic curve, including: obtaining the original index value corresponding to the minimum speed in the original speed-efficiency characteristic curve; using the ratio of the current index value to the original index value corresponding to the minimum speed as the first adjustment coefficient; and using the product of the original index value corresponding to each speed in the original speed-efficiency characteristic curve and the first adjustment coefficient as the current index value corresponding to each speed in the current speed-efficiency characteristic curve.

[0013] Through this technical solution, this application can use a proportional adjustment method to correct the entire efficiency curve based on the actual efficiency value at the lowest speed. This method is simple and effective, can quickly adapt to changes in pump performance, and ensure that the corrected efficiency curve is highly consistent with the actual operating state of the pump.

[0014] In some preferred embodiments, the original network resistance characteristic model of each pipe in the cooling water system is modified based on the friction coefficient of each pipe to obtain the current network resistance characteristic model of each pipe. This includes: adjusting the opening of the valves in the cooling water system to determine the current friction coefficient of each pipe in the cooling water system; and replacing the original friction coefficient in the original network resistance characteristic model of each pipe with the current friction coefficient to obtain the current network resistance characteristic model of each pipe.

[0015] Through this technical solution, this application can measure and determine the actual friction coefficient of the pipeline by adjusting the valve opening, thereby correcting the pipeline resistance model, effectively addressing the increase in resistance caused by factors such as sediment accumulation in the pipeline, enabling the control system to calculate the required head more accurately, and avoiding unnecessary energy loss.

[0016] As a further improvement, the valve opening in the cooling water system is adjusted to determine the current friction coefficient of each pipe in the cooling water system. This includes: for each pipe, reducing the valve opening by a preset amount, obtaining the first pressure value of the pipe before the valve opening is reduced and the second pressure value of the pipe after the valve opening is reduced; using the ratio of the pressure drop value to the first value as the current friction coefficient; the pressure drop value is the difference between the first and second pressure values, the first value is the product of the second and third values, the second value is the ratio of the pipe length to the pipe diameter, the third value is half the product of the density of the fluid in the pipe and a fourth value; and the fourth value is the square of the fluid velocity in the pipe.

[0017] This technical solution enables the precise measurement of pressure values ​​before and after valve opening changes, combined with fluid mechanics principles, to calculate the actual friction coefficient of the pipeline. This method has high accuracy and can provide reliable physical parameters for the correction of pipeline resistance models.

[0018] Based on the above, this application also proposes to determine the calibration compensation value of the pressure sensor in the cooling water system, including: controlling the flow velocity of the fluid in the pipeline of the cooling water system to 0; determining the theoretical static water pressure of the pressure sensor based on the height difference between the pressure sensor and the bottom of the cooling tower in the cooling water system; and determining the calibration compensation value of the pressure sensor in the cooling water system based on the theoretical static water pressure and the actual pressure value of the pressure sensor.

[0019] Through this technical solution, this application can accurately identify and quantify the zero-point drift of the pressure sensor by comparing the theoretical hydrostatic pressure with the actual pressure value under zero flow conditions, thereby providing accurate calibration compensation for the sensor readings, ensuring that the control system receives real pressure feedback, and avoiding misjudgment and over-control caused by sensor errors.

[0020] Preferably, the calibration compensation value of the pressure sensor in the cooling water system is determined based on the theoretical static water pressure and the actual pressure value of the pressure sensor, including: using the difference between the theoretical static water pressure and the actual pressure value as the pressure difference value of the pressure sensor; when the pressure difference value is greater than a preset difference threshold, the pressure difference value is used as the calibration compensation value of the pressure sensor; otherwise, the calibration compensation value of the pressure sensor is determined to be 0.

[0021] Through this technical solution, this application can introduce a preset difference threshold to intelligently judge the calibration compensation value of the pressure sensor, avoid compensating for small and insignificant deviations, thereby improving the robustness and stability of the system, ensuring that correction is only performed when there is significant drift in the sensor, and preventing over-correction.

[0022] As a technological improvement, the water pump is controlled based on the calibration compensation value of the pressure sensor, the current speed efficiency characteristic curve, and the current network resistance characteristic curve of each pipe. This includes: inputting cooling demand information, the calibration compensation value of the pressure sensor, the current speed efficiency characteristic curve, and the current network resistance characteristic curve of each pipe into a preset water pump control model to obtain the initial power of the water pump output by the preset water pump control model; obtaining the viscosity value of the fluid in the cooling water system; obtaining a first preset correspondence; the first preset correspondence includes a one-to-one correspondence between multiple viscosity value ranges and multiple viscosity adjustment coefficients; using the viscosity adjustment coefficient corresponding to the viscosity value range in the first preset correspondence as the target viscosity adjustment coefficient; and using the product of the initial power and the target viscosity adjustment coefficient as the target power of the water pump.

[0023] Through this technical solution, this application can integrate multiple corrected parameters (sensor calibration values, pump efficiency curves, and pipeline resistance curves) and fluid viscosity information into the control model, thereby obtaining a more accurate target power for the pump, achieving refined and adaptive control of the pump, and significantly improving energy-saving effects and system operation stability.

[0024] Secondly, this application also discloses an energy-saving water pump adaptive control system, comprising: an acquisition device and a processing device; the acquisition device is used to acquire operating information of a cooling water system; the processing device is used to determine whether the cooling water system is in a low-production state based on the operating information; the processing device is used to, when the cooling water system is in a low-production state, within a first time period, correct the original speed-efficiency characteristic curve of the water pump based on the speed of the water pump in the cooling water system to obtain a current speed-efficiency characteristic curve; the original speed-efficiency characteristic curve or the current speed-efficiency characteristic curve includes a one-to-one correspondence between the speed of the water pump and the efficiency index of the water pump; the processing device is used to, within a second time period, correct the original network resistance characteristic model of each pipe in the cooling water system based on the friction coefficient of each pipe to obtain a current network resistance characteristic model of each pipe; the processing device is used to, within a third time period, determine the calibration compensation value of the pressure sensor in the cooling water system; the first time period, the second time period, and the third time period are different time periods when the cooling water system is in a low-production state; the processing device is used to control the water pump based on the calibration compensation value of the pressure sensor, the current speed-efficiency characteristic curve, and the current network resistance characteristic curve of each pipe.

[0025] Beneficial effects

[0026] The energy-saving adaptive control method for water pumps disclosed in this application acquires the operating information of the cooling water system and, when the system is in a low-production state, corrects the efficiency characteristic curve of the water pump, the pipeline resistance characteristic model, and the calibration compensation value of the pressure sensor in stages. Specifically, in the first time period, the original speed-efficiency characteristic curve is corrected based on the water pump speed to reflect the actual performance changes caused by water pump wear; in the second time period, the original pipeline resistance characteristic model is corrected based on the friction coefficient of each pipeline to cope with the increase in resistance caused by pipeline deposits; in the third time period, the calibration compensation value of the pressure sensor is determined to correct the reading drift caused by sensor aging. Finally, the water pump is controlled based on these corrected parameters. Through this comprehensive adaptive correction mechanism, this application can effectively solve the problems of water pump performance degradation, increased pipeline resistance, and pressure sensor drift causing the control system to deviate from the energy-saving target in the prior art, avoiding energy waste and decreased operating efficiency caused by the system "adapting" to a distorted reality. This method enables the control system to more accurately perceive the true physical state of the cooling water system, thereby achieving precise control of the water pump and significantly improving energy-saving effects and system operation stability. Attached Figure Description

[0027] Figure 1 A flowchart illustrating an energy-saving adaptive control method for a water pump provided in this application;

[0028] Figure 2 A flowchart illustrating another energy-saving water pump adaptive control method provided in this application;

[0029] Figure 3 A flowchart illustrating another energy-saving water pump adaptive control method provided in this application;

[0030] Figure 4 This application provides a schematic diagram of the architecture of an energy-saving water pump adaptive control system. Detailed Implementation

[0031] 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.

[0032] 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.

[0033] In industrial production, circulating cooling water systems and their associated energy-efficient water pump adaptive control devices are crucial for ensuring stable production operation and efficient energy utilization. However, under long-term continuous operation, the performance of the water pumps themselves changes due to wear, the resistance of the water supply network increases due to deposit accumulation, and the critical pressure sensors used for monitoring may experience reading deviations due to aging. These gradual and interconnected changes make it difficult for the originally designed control system to accurately perceive the true physical state, causing it to deviate from the true energy-saving target during the "adaptation" process, resulting in unnecessary energy waste and decreased operating efficiency.

[0034] In this regard, such as Figure 1 As shown, this application proposes an adaptive control method for energy-saving water pumps, including:

[0035] S101. Obtain the operating information of the cooling water system.

[0036] S102. Based on the operating information, determine whether the cooling water system is in a low production state.

[0037] S103. When the cooling water system is in a low production state, during the first time period, the original speed efficiency characteristic curve of the water pump is corrected based on the speed of the water pump in the cooling water system to obtain the current speed efficiency characteristic curve.

[0038] The original speed-efficiency characteristic curve or the current speed-efficiency characteristic curve includes a one-to-one correspondence between the pump's speed and its efficiency index.

[0039] S104. During the second time period, the original network resistance characteristic model of each pipe in the cooling water system is modified based on the friction coefficient of each pipe to obtain the current network resistance characteristic model of each pipe.

[0040] S105. During the third time period, determine the calibration compensation value of the pressure sensor in the cooling water system.

[0041] The first, second, and third time periods represent different time periods when the cooling water system is in a low-production state.

[0042] S106. The pump is controlled based on the calibration compensation value of the pressure sensor, the current speed efficiency characteristic curve, and the current network resistance characteristic curve of each pipeline.

[0043] This application corrects the efficiency characteristics of the water pump, the resistance characteristics of the pipeline network, and the calibration values ​​of the pressure sensor in stages when the cooling water system is in a low-production state, and controls the water pump based on the corrected data. This can more accurately reflect the actual operating status of the system, avoid control deviations caused by equipment aging and environmental changes, and achieve true energy-saving adaptive control.

[0044] To better understand the energy-saving water pump adaptive control method proposed in this application, some key terms involved will be explained first.

[0045] "Cooling water system" refers to a circulating water system used for cooling equipment in industrial production. It typically includes components such as water pumps, pipes, cooling towers, equipment to be cooled, and various sensors and valves.

[0046] "Operating information" refers to data describing the current operating status of the cooling water system, such as the heat load of the equipment to be cooled, the total flow rate of the pipeline network, the pressure value of the pipeline network, and the current operating time.

[0047] "Low production state" refers to the state in which the industrial production process served by the cooling water system is operating at a low load or off-peak. At this time, the system's demand for cooling capacity is relatively low, which provides favorable conditions for adaptive correction of system parameters.

[0048] The "original speed-efficiency characteristic curve of a water pump" refers to the curve showing the relationship between the speed and efficiency of a water pump when it leaves the factory or is initially installed, reflecting the performance of the water pump under ideal conditions.

[0049] "Efficiency indicators" can be parameters related to efficiency, such as the pump's head, flow rate, or power.

[0050] The "original pipeline resistance characteristic model" refers to the fluid resistance characteristic model of the cooling water system pipeline in its initial state, which describes the relationship between pressure loss and flow rate when fluid flows through the pipeline.

[0051] The coefficient of friction is a parameter that measures the degree to which the inner wall of a pipe hinders fluid flow.

[0052] A pressure sensor is a device used to measure the pressure of fluids within a cooling water system.

[0053] "Calibration compensation value" refers to the value used to correct the pressure sensor reading in order to eliminate measurement deviations caused by factors such as aging of the sensor.

[0054] The “first time period,” “second time period,” and “third time period” refer to independent time windows for performing different corrective tasks when the cooling water system is in a low-production state. These time periods can be executed sequentially or partially overlap, but the core is to carry out different corrective tasks during low-load periods to reduce the impact on normal production.

[0055] The core of the energy-saving water pump adaptive control method in this application lies in ensuring the accuracy and energy efficiency of water pump control through phased and multi-dimensional adaptive correction.

[0056] First, it is necessary to obtain the operating information of the cooling water system. This information can be collected in real time by various sensors within the system. For example, temperature sensors acquire the heat load of the equipment being cooled, flow meters acquire the total flow rate of the pipeline network, pressure sensors acquire the pressure value of the pipeline network, and the operating time can be provided by the system clock. This information is fundamental to determining whether the system is in a low-productivity state. For instance, a data acquisition module can be set up that periodically reads data from various sensors and stores this data in a database for subsequent processing devices to access.

[0057] Secondly, based on the acquired operational information, it is determined whether the cooling water system is in a low-production state. Determining whether the system is in a low-production state is a prerequisite for initiating subsequent adaptive corrections. For example, a judgment logic can be set up so that when the heat load of the equipment to be cooled, the total flow rate of the pipeline network, and the pipeline network pressure values ​​are all lower than preset thresholds for a period of time, and the operation occurs during off-peak production periods, the system is considered to be in a low-production state. This judgment can avoid corrections when the system is operating under high load, thereby reducing interference with the production process.

[0058] When the cooling water system is in a low-production state, this application will make a series of adaptive corrections.

[0059] During the first time period, the original speed-efficiency characteristic curve of the water pump is corrected based on the pump speed in the cooling water system to obtain the current speed-efficiency characteristic curve. The original or current speed-efficiency characteristic curve of the water pump includes a one-to-one correspondence between the pump speed and its efficiency indicators. For example, under low production conditions, the pump speed can be adjusted in steps from high to low or from low to high, and the actual efficiency indicators of the pump (such as head, flow rate, and input power) can be measured at each speed point to calculate the efficiency. These measured data are then compared with the original curve to correct it, resulting in a current speed-efficiency characteristic curve that better reflects the actual performance of the current water pump. This correction can be achieved using mathematical methods such as interpolation and fitting.

[0060] During the second time period, the original network resistance characteristic model of each pipe in the cooling water system is modified based on the friction coefficient of each pipe to obtain the current network resistance characteristic model for each pipe. For example, under low production conditions, the flow rate of a specific pipe can be changed by controlling the valve opening and measuring the pressure drop across its ends to calculate the current friction coefficient. Then, the calculated current friction coefficient is substituted into the original network resistance characteristic model to update the current network resistance characteristic model for each pipe. This modification reflects the resistance changes in the network due to long-term operation, such as increased resistance caused by scaling or corrosion on the pipe walls.

[0061] During the third time period, the calibration compensation value of the pressure sensor in the cooling water system is determined. For example, under low production conditions, the circulation of the cooling water system can be temporarily stopped, allowing the fluid in the pipes to remain still. At this time, the pressure value measured by the pressure sensor should match the theoretical static water pressure. By comparing the actual reading of the pressure sensor with the theoretical static water pressure, the calibration compensation value of the pressure sensor can be calculated. This compensation value can be used to correct subsequent readings of the pressure sensor, eliminating zero-point drift or measurement deviations caused by aging or other reasons.

[0062] It should be noted that the first, second, and third time periods represent different time periods when the cooling water system is in a low-production state. These time periods can be flexibly arranged according to the actual situation; for example, they can be executed sequentially, some tasks can be executed in parallel, or they can be executed separately during different low-production periods.

[0063] Finally, the pump is controlled based on the calibration compensation value of the pressure sensor, the current speed efficiency characteristic curve, and the current network resistance characteristic curve of each pipe. For example, the corrected pressure sensor readings, the current speed efficiency characteristic curve, and the current network resistance characteristic model can be input into a preset pump control model. This control model will comprehensively consider cooling requirements, the actual operating state of the system, and the corrected equipment and network characteristics to calculate the optimal operating parameters of the pump (such as speed or power), thereby achieving energy-saving operation of the pump.

[0064] The energy-saving adaptive control method for water pumps disclosed in this application works by periodically and multidimensionally adaptively correcting key parameters of the system during periods when the cooling water system is in a low-production state, which has minimal impact on production. Traditional adaptive control systems for water pumps, due to factors such as pump wear, pipe scaling, and sensor drift, develop deviations between their internal models and the actual physical state during long-term operation. This leads to the control system's inability to accurately determine the optimal operating point, resulting in energy waste. This application addresses this problem by correcting the pump's speed-efficiency characteristic curve in the first time period to ensure the pump's performance model matches the actual operating conditions; correcting the pipe network resistance characteristic model in the second time period to reflect the true resistance of the pipe network; and correcting the calibration compensation value of the pressure sensor in the third time period to ensure the accuracy of pressure measurement. These corrected data are integrated for pump control, enabling the control system to make decisions based on more realistic and accurate system parameters. This avoids suboptimal operation caused by model mismatch and data deviation, achieving true energy-saving adaptive control of the water pump. The various technical features work together to solve the problem of control system failure caused by equipment aging and environmental changes in existing technologies, thereby improving the reliability and energy-saving effect of the overall technical solution.

[0065] like Figure 2 As shown, this application further proposes a step for determining whether the cooling water system is in a low-production state, which includes:

[0066] S201. When the running time is within a preset time period, determine whether the heat load of the equipment to be cooled is less than the preset heat load threshold within the preset time period.

[0067] S202. When the heat load of the equipment to be cooled is less than the preset heat load threshold within a preset time period, determine whether the rate of change of the total flow rate of the pipeline network is less than the first rate of change threshold within the preset time period.

[0068] S203. Whether the rate of change of the cooling water system's pipeline pressure is less than the second rate of change threshold within a preset time period.

[0069] S204. If the rate of change of the pipeline pressure value of the cooling water system is less than the second rate of change threshold within a preset time period, the cooling water system is determined to be in a low production state; otherwise, the cooling water system is determined not to be in a low production state.

[0070] Specifically, the operational information upon which the above judgment process is based has been expanded to include the heat load of the equipment to be cooled, the total flow rate of the cooling water system network, the pressure value of the cooling water system network, and the operating time. The heat load of the equipment to be cooled reflects the intensity of cooling demand, while the total flow rate and pressure value of the network reflect the operating load and stability of the cooling water system. The introduction of the operating time aims to limit the judgment process to a specific time window, such as off-peak production periods, to avoid making judgments during periods of significant system load fluctuations, thereby improving the accuracy of the judgment.

[0071] Furthermore, the process of determining whether the cooling water system is in a low-production state is broken down into a series of conditional judgments. First, when the operating time falls within a preset time period, the system continuously monitors the heat load of the equipment to be cooled. If the heat load of the equipment to be cooled is less than a preset heat load threshold within the preset time period, it indicates that the cooling demand remains at a low level. The preset time period and preset heat load threshold are designed to filter out short-term, occasional load fluctuations, ensuring the stability of the judgment.

[0072] Based on this, if the heat load conditions are met, it is further determined whether the rate of change of the total flow rate in the pipeline network is consistently less than the first rate of change threshold within a preset time period. The rate of change of the total flow rate in the pipeline network reflects the dynamic changes in the system load. When its rate of change remains low, it indicates that the system operation is becoming stable and there are no large load fluctuations. The setting of the first rate of change threshold is used to define the acceptable range of flow fluctuations.

[0073] Subsequently, if the rate of change of the total flow rate in the pipeline is also met, it is further determined whether the rate of change of the pipeline pressure value of the cooling water system is consistently less than the second rate of change threshold within a preset time period. The rate of change of the pipeline pressure value is also an important indicator of system stability. When the pressure change rate remains consistently low, it further confirms that the system is in a stable operating state. The setting of the second rate of change threshold is used to define the acceptable range of pressure fluctuations.

[0074] Ultimately, the cooling water system is determined to be in a low-production state only when all the above conditions are met: the operating time is within a preset time period, the heat load remains below a threshold, the rate of change of total pipeline flow remains below a first rate of change threshold, and the rate of change of pipeline pressure remains below a second rate of change threshold. Otherwise, the system is determined not to be in a low-production state. This multi-condition, multi-time-dimensional judgment mechanism aims to comprehensively and accurately identify the true low-production state.

[0075] This application's solution introduces the heat load of the equipment to be cooled, the rate of change of the total flow rate in the pipeline network, and the rate of change of the pipeline network pressure as key indicators for determining whether the cooling water system is in a low-production state. Combined with preset time periods and preset durations, it performs multi-dimensional and continuous monitoring and judgment, effectively solving the problems of misjudgment or untimely judgment that may exist in basic solutions. Specifically, a sustained low heat load is the direct basis for judging a low-production state, while the low rate of change of the total flow rate and pipeline network pressure serve as auxiliary verification of system operational stability, avoiding erroneous judgments caused by instantaneous fluctuations. By continuously monitoring for a preset duration within a preset time period, short-term and atypical operating states can be effectively filtered out, ensuring that the identified low-production state is stable and continuous, thus providing a reliable decision-making basis for subsequent pump energy-saving control. This comprehensive judgment mechanism enables the system to more accurately capture the true energy-saving optimization opportunity.

[0076] Through the above technical solution, this application can significantly improve the accuracy and reliability of judging the low production state of the cooling water system. Compared with judgment methods that rely solely on a single or simple indicator, this solution comprehensively considers the heat load of the equipment to be cooled, the rate of change of the total flow rate of the pipeline network, and the rate of change of the pipeline network pressure, and introduces a time dimension for continuous verification, effectively avoiding misjudgments caused by instantaneous system fluctuations or local anomalies. This accurate judgment capability ensures that the water pump energy-saving adaptive control strategy can be activated at the most appropriate time, thereby maximizing the energy-saving effect, while avoiding unnecessary system adjustments in non-low production states, ensuring the stable operation and cooling effect of the cooling water system.

[0077] Specifically, such as Figure 3 As shown, in some embodiments of the above-mentioned energy-saving water pump adaptive control method, the step of correcting the original speed-efficiency characteristic curve of the water pump based on the speed of the water pump in the cooling water system to obtain the current speed-efficiency characteristic curve may further include the following:

[0078] S301. Adjust the pump speed to the lowest speed and obtain the current value of the pump efficiency index.

[0079] S302. Based on the minimum speed and current index value, correct the original speed-efficiency characteristic curve of the water pump to obtain the current speed-efficiency characteristic curve.

[0080] Adjusting the pump speed to the minimum speed refers to controlling the pump's frequency converter or other speed control device to bring its operating speed to the minimum stable speed allowed by its design or operation. This aims to provide a stable and repeatable benchmark condition for subsequent efficiency index measurements, thereby reducing measurement errors and external interference.

[0081] Furthermore, obtaining the current value of the pump's efficiency index can be understood as acquiring key parameters reflecting the pump's operating efficiency in real time through sensors or computational models when the pump is running at its lowest speed. This efficiency index can be the pump's actual operating efficiency, energy consumption per unit flow rate, or flow rate at a specific head, etc., with the aim of evaluating the pump's actual performance under current operating conditions.

[0082] Therefore, the original speed-efficiency characteristic curve of the water pump is corrected based on the minimum speed and the current index value to obtain the current speed-efficiency characteristic curve. This involves comparing the current efficiency index value obtained at the minimum speed with the original efficiency index value corresponding to that minimum speed in the original speed-efficiency characteristic curve to calculate a correction coefficient or correction amount. This correction coefficient or correction amount is then applied to all speed points on the original speed-efficiency characteristic curve to generate a current speed-efficiency characteristic curve that better reflects the actual operating conditions of the water pump.

[0083] This application's solution obtains a stable and representative reference point for pump operating performance by adjusting the pump speed to its minimum when the cooling water system is in a low-production state and acquiring the current efficiency index value. Traditionally, the original speed-efficiency characteristic curve of a pump is measured under ideal or factory conditions. With long-term operation, wear, scaling, and changes in system conditions, the true efficiency characteristic will drift. Without correction, control based on the original curve may result in poor pump operating efficiency, failing to achieve optimal energy-saving effects. By measuring at the minimum speed, the influence of system fluctuations at high speeds on the measurement results can be effectively avoided, ensuring the accuracy of the correction. Therefore, using this stable reference point to correct the original speed-efficiency characteristic curve allows the obtained current speed-efficiency characteristic curve to more accurately reflect the pump's performance under the current actual operating environment, providing a more reliable data foundation for subsequent energy-saving control.

[0084] Through the above technical solution, this application provides a more accurate and reliable method for correcting the pump speed-efficiency characteristic curve. By obtaining the efficiency index at the pump's lowest speed, the impact of measurement errors and system disturbances on the correction results can be effectively reduced, ensuring the accuracy and stability of the correction. This allows the obtained current speed-efficiency characteristic curve to more realistically reflect the actual operating performance of the pump, thereby providing a more accurate basis for the adaptive control of energy-saving pumps and further improving the energy-saving effect of pump operation and the overall adaptability of the system.

[0085] In some of the embodiments described above in this application, a scheme is proposed to correct the original speed-efficiency characteristic curve of the water pump based on the speed of the water pump in the cooling water system to obtain the current speed-efficiency characteristic curve.

[0086] Specifically, the steps described above for correcting the original speed-efficiency characteristic curve of the water pump based on the minimum speed and the current index value to obtain the current speed-efficiency characteristic curve can be performed as follows.

[0087] Obtain the original index value corresponding to the lowest speed in the original speed efficiency characteristic curve; use the ratio of the current index value to the original index value corresponding to the lowest speed as the first adjustment coefficient; use the product of the original index value corresponding to each speed in the original speed efficiency characteristic curve and the first adjustment coefficient as the current index value corresponding to each speed in the current speed efficiency characteristic curve.

[0088] Obtaining the original index value corresponding to the lowest speed in the original speed-efficiency characteristic curve refers to finding the efficiency index value corresponding to the lowest speed of the water pump from the original speed-efficiency characteristic curve provided at the time of the water pump's manufacture or established through historical data. This original index value represents the efficiency performance that the water pump should have when operating at the lowest speed under ideal or initial conditions.

[0089] Furthermore, the ratio of the current indicator value to the original indicator value corresponding to the minimum speed is used as the first adjustment coefficient. The current indicator value is the efficiency indicator value actually measured after the pump speed is adjusted to the minimum speed. By calculating the ratio of the current indicator value to the original indicator value, an adjustment coefficient reflecting the deviation or drift of the pump's current actual operating efficiency relative to its original design efficiency can be obtained. This first adjustment coefficient can be understood as a correction factor for the overall efficiency characteristic curve of the pump.

[0090] Therefore, the product of the original index value corresponding to each speed in the original speed-efficiency characteristic curve and the first adjustment coefficient is used as the current index value corresponding to each speed in the current speed-efficiency characteristic curve. This means that by applying the calculated first adjustment coefficient to the original index value corresponding to each speed point on the original speed-efficiency characteristic curve, the entire curve can be proportionally corrected. This generates a new speed-efficiency characteristic curve that more accurately reflects the pump's current actual operating efficiency.

[0091] The proposed solution calculates a uniform adjustment coefficient by comparing the actual efficiency value of the pump at its lowest operating speed with the original design value when the pump is in a low-production state. This adjustment coefficient is applied to all speed points on the pump's original speed-efficiency characteristic curve, thereby correcting the entire curve. This correction method is based on the overall drift characteristics of the pump's efficiency characteristic curve, using easily obtainable single-point measurement data to infer and correct the pump's efficiency performance across the entire operating range. This allows the pump's performance model to be updated in a timely manner to adapt to potential performance degradation or changes during actual operation.

[0092] Through the above technical solution, the current speed-efficiency characteristic curve of the water pump can be accurately corrected in a highly efficient and simple manner. Compared to methods that require complex measurements of the water pump at multiple speed points to reconstruct the entire characteristic curve, this solution only needs to obtain the current value of an efficiency index at the lowest speed, and the entire curve can be corrected through simple multiplication. This significantly reduces the complexity and time required for the correction process, improves the real-time performance and feasibility of the correction, and thus reflects the actual operating efficiency of the water pump more promptly and accurately, providing a more reliable data foundation for subsequent energy-saving control, thereby improving the overall energy-saving effect of the cooling water system.

[0093] This application proposes an optimization scheme for correcting the original network resistance characteristic model of each pipe in a cooling water system based on the friction coefficient of each pipe during a second time period, thereby obtaining the current network resistance characteristic model for each pipe. This scheme achieves accurate correction of the network resistance characteristic model by dynamically adjusting the valve opening and determining the current friction coefficient.

[0094] The original network resistance characteristic model of each pipe in the cooling water system is modified based on the friction coefficient of each pipe to obtain the current network resistance characteristic model, including:

[0095] Adjust the valve openings in the cooling water system to determine the current friction coefficient of each pipe in the cooling water system; replace the original friction coefficient in the original network resistance characteristic model of each pipe with the current friction coefficient to obtain the current network resistance characteristic model of each pipe.

[0096] Specifically, adjusting the valve opening in a cooling water system involves sending commands to one or more valves in the system via the control system to change their opening. The purpose of this adjustment is to deduce the current friction coefficient of the pipeline by measuring changes in fluid parameters under specific operating conditions. For example, the valve opening can be gradually decreased or increased to observe changes in pressure or flow rate within the pipeline. Determining the current friction coefficient of each pipeline in the cooling water system can be understood as obtaining a value reflecting the current fluid resistance characteristics within the pipeline by monitoring and calculating system parameters before and after valve opening adjustments. This current friction coefficient is dynamically changing and can more accurately reflect the actual operating conditions of the pipeline, rather than relying on static, potentially outdated design parameters.

[0097] In practical applications, replacing the original friction coefficient in the original pipeline network resistance characteristic model for each pipeline with the current friction coefficient means updating the friction coefficient term in the pre-established pipeline network resistance characteristic model based on initial design parameters to the current friction coefficient, determined in real-time or near real-time using the methods described above. The original pipeline network resistance characteristic model typically describes the relationship between parameters such as pipeline length, diameter, fluid density, and flow velocity and resistance loss, with the friction coefficient being one of the key parameters. By replacing the friction coefficient, the model can adapt to changes in the actual operating conditions of the pipeline, thus obtaining a more accurate current pipeline network resistance characteristic model.

[0098] The proposed solution artificially alters the fluid state within the cooling water system, such as flow velocity and pressure, by adjusting the valve openings. By monitoring these changes and applying fluid mechanics principles, the current friction coefficient of the pipeline can be accurately calculated. This dynamic method of determining the friction coefficient based on actual operating conditions allows for the effective correction of the original pipeline resistance characteristic model, resulting in a model that better reflects the actual operating conditions of the current system. This correction avoids model distortion caused by changes in the friction coefficient, providing a more reliable basis for subsequent pump control.

[0099] Through the above technical solution, the pipeline resistance characteristic model of the cooling water system can be dynamically and accurately corrected according to the actual operating conditions of the pipeline. Compared with the traditional method of using static or preset friction coefficients, this solution can significantly improve the accuracy of the pipeline resistance characteristic model, thereby making the pump control based on the model more precise. This effectively avoids over-pumping or under-pumping caused by inaccurate models, further optimizes pump operating efficiency, achieves more significant energy-saving effects, and extends the service life of the equipment.

[0100] In some embodiments described above in this application, it is proposed to adjust the opening degree of valves in a cooling water system to determine the current friction coefficient of each pipe.

[0101] Specifically, in order to more accurately determine the current friction coefficient of each pipe, this application further proposes the following method.

[0102] Adjust the valve openings in the cooling water system to determine the current friction coefficient of each pipe in the cooling water system, including:

[0103] For each pipeline, the valve opening is reduced to a preset opening, and the first pressure value of the pipeline before the valve opening is reduced and the second pressure value of the pipeline after the valve opening is reduced are obtained; the ratio of the pressure drop value to the first value is used as the current friction coefficient; the pressure drop value is the difference between the first pressure value and the second pressure value, the first value is the product of the second value and the third value, the second value is the ratio of the pipeline length to the pipeline diameter, the third value is half of the product of the density of the fluid in the pipeline and the fourth value; the fourth value is the square of the fluid velocity in the pipeline.

[0104] Specifically, when determining the current friction coefficient of each pipe, the opening of the corresponding valve in the cooling water system is first reduced by a preset degree. Before and after the valve opening is reduced, the first and second pressure values ​​of the pipe are obtained, respectively. The first pressure value refers to the pressure value of the pipe before the valve opening is reduced, and the second pressure value refers to the pressure value of the pipe after the valve opening is reduced.

[0105] Furthermore, the current friction coefficient is determined by calculating the ratio of the pressure drop value to the first value. The pressure drop value is defined as the difference between the first and second pressure values. The first value is defined as the product of the second and third values. The second value is defined as the ratio of the pipe length to the pipe diameter. The third value is defined as half the product of the fluid density in the pipe and a fourth value. The fourth value is defined as the square of the fluid velocity in the pipe. Thus, the calculation of the current friction coefficient can fully consider the geometric characteristics of the pipe and the dynamic characteristics of the fluid.

[0106] This application's solution, by actively adjusting the valve openings in the cooling water system under low-production conditions and measuring the resulting pressure changes, enables direct and real-time calculation of the current friction coefficient of each pipe. This method utilizes the physical relationship between frictional resistance and pressure drop when fluid flows through pipes. By accurately measuring the pressure values ​​before and after the valve opening change, combined with the pipe's geometric parameters (length, diameter) and the fluid's physical properties (density, velocity), the current friction coefficient can be accurately deduced. This measurement and calculation based on actual operating conditions avoids errors that may arise from relying on static or theoretical models, making the determination of the friction coefficient more closely reflect actual working conditions.

[0107] The above technical solution enables precise, real-time correction of the friction coefficient of each pipe in the cooling water system. Compared to relying solely on the original or preset friction coefficient, this solution calculates the friction coefficient by dynamically adjusting valve opening and measuring pressure changes. This effectively overcomes the influence of factors such as pipe aging, scaling, and valve wear on the friction coefficient, improving the accuracy of friction coefficient determination. Consequently, it provides more reliable input parameters for subsequent correction of the pipeline network resistance characteristic model, thereby enhancing the accuracy and energy-saving effect of the entire energy-saving water pump adaptive control method.

[0108] In some embodiments described above in this application, a method for determining the calibration compensation value of the pressure sensor in the cooling water system within a third time period is proposed. Specifically, this determination process may include the following steps:

[0109] Determine the calibration compensation values ​​for the pressure sensors in the cooling water system, including:

[0110] The flow velocity of the fluid in the cooling water system pipes is controlled to be 0; the theoretical static water pressure of the pressure sensor is determined based on the height difference between the pressure sensor and the bottom of the cooling tower in the cooling water system; the calibration compensation value of the pressure sensor in the cooling water system is determined based on the theoretical static water pressure and the actual pressure value of the pressure sensor.

[0111] Specifically, controlling the fluid velocity in the cooling water system's piping to zero means bringing the fluid in the cooling water system to a static state by shutting off the water pump or regulating valves, thereby eliminating the dynamic pressure effect caused by fluid flow and ensuring that subsequent pressure measurements only reflect static water pressure. The pressure sensor can be understood as a device used to measure the internal pressure of the cooling water system, its purpose being to provide real-time pressure data for water pump control.

[0112] Furthermore, determining the theoretical hydrostatic pressure of the pressure sensor based on the height difference between the pressure sensor and the bottom of the cooling tower in the cooling water system refers to calculating the theoretical pressure value that the pressure sensor should have at its location when the fluid is at rest, using known physical parameters. Specifically, the theoretical hydrostatic pressure can be calculated using the fluid density, gravitational acceleration, and the vertical height difference between the pressure sensor and the bottom of the cooling tower. The bottom of the cooling tower is usually chosen as a stable reference point because its position is relatively fixed and easy to measure.

[0113] Therefore, determining the calibration compensation value of the pressure sensor in the cooling water system based on the theoretical hydrostatic pressure and the actual pressure value of the pressure sensor involves comparing the actual pressure value measured by the pressure sensor under static fluid conditions with the theoretical hydrostatic pressure calculated above to identify potential measurement errors in the sensor. This error value is then determined as the calibration compensation value of the pressure sensor, with the aim of correcting the sensor reading to more accurately reflect the actual pressure.

[0114] This application's solution creates a pure hydrostatic pressure environment by specifically controlling the fluid velocity in the pipeline to zero when the cooling water system is in a low-production state. Under this environment, the theoretical hydrostatic pressure at the pressure sensor's location can be accurately calculated based on the height difference between the pressure sensor and the bottom of the cooling tower in the cooling water system. Subsequently, this theoretical hydrostatic pressure is compared with the actual pressure value measured by the pressure sensor; the difference is the calibration compensation value for the pressure sensor. This method effectively eliminates the interference of dynamic fluid on pressure measurement, making the determination of the calibration compensation value more accurate and reliable, thus providing a more precise pressure data basis for subsequent pump control.

[0115] The above technical solutions effectively eliminate or significantly reduce measurement errors caused by pressure sensors in cooling water systems due to long-term operation, environmental changes, or aging. This ensures that the water pump control system receives high-precision pressure feedback information, avoiding over- or under-operation of the water pump due to inaccurate pressure data, thereby improving the accuracy and energy-saving effect of water pump control.

[0116] This application further proposes a method for determining the calibration compensation value of the pressure sensor in the cooling water system based on the theoretical hydrostatic pressure and the actual pressure value of the pressure sensor, specifically including:

[0117] The difference between the theoretical hydrostatic pressure and the actual pressure value is taken as the pressure difference value of the pressure sensor. When the pressure difference value is greater than the preset difference threshold, the pressure difference value is taken as the calibration compensation value of the pressure sensor; otherwise, the calibration compensation value of the pressure sensor is determined to be 0.

[0118] Specifically, the aforementioned pressure difference refers to the absolute difference between the calculated theoretical hydrostatic pressure and the pressure value actually measured by the pressure sensor. This difference reflects the degree of deviation between the pressure sensor reading and the theoretical value. The preset difference threshold can be understood as a pre-set critical value used to determine whether the pressure sensor deviation requires calibration. This threshold aims to filter out minor deviations within an acceptable range caused by factors such as the sensor's own accuracy, environmental noise, or minor system fluctuations.

[0119] In practical applications, this preset difference threshold can be set according to the specific requirements of the cooling water system, the accuracy level of the pressure sensor, and the system's need for control stability. For example, based on historical data analysis or expert experience, the preset difference threshold can be set to 0.01 MPa or 0.05 MPa. When the pressure difference exceeds the preset difference threshold, it indicates that the pressure sensor's deviation has exceeded the acceptable range, and the pressure sensor needs to be calibrated and compensated. Therefore, this pressure difference is used as the calibration compensation value. Conversely, if the pressure difference is not greater than the preset difference threshold, the current deviation is considered to be within the acceptable range, and no compensation is required. In this case, the calibration compensation value is set to 0.

[0120] This application optimizes the calibration compensation mechanism of pressure sensors by introducing a preset difference threshold. When a pressure sensor in the cooling water system exhibits a deviation, the pressure difference between its theoretical static pressure and the actual pressure value is first calculated. This pressure difference is then compared to the preset difference threshold. This comparison effectively distinguishes between significant deviations requiring compensation and negligible minor fluctuations. Only when the pressure difference exceeds the preset difference threshold is the difference used as the calibration compensation value, thus avoiding frequent or unnecessary calibration operations due to minor errors. This ensures that compensation is only performed when the pressure sensor exhibits a real and significant deviation, improving the effectiveness of calibration and the stability of the system.

[0121] Through the above technical solution, this application can effectively avoid frequent calibration and unnecessary system adjustments caused by minor fluctuations or measurement errors in the pressure sensor, thereby significantly improving the stability and reliability of the cooling water pump adaptive control system. This solution introduces a preset difference threshold, ensuring that calibration compensation is only activated when the pressure sensor exhibits a deviation that exceeds the acceptable range. This effectively filters out system noise and unimportant measurement deviations, thereby improving the accuracy and efficiency of pressure sensor calibration and ensuring the smooth operation of the water pump control.

[0122] This application further proposes a more refined pump control method, which adjusts the pump power by introducing fluid viscosity information to achieve more accurate and energy-efficient adaptive control.

[0123] The water pump is controlled based on the calibration compensation value of the pressure sensor, the current speed efficiency characteristic curve, and the current network resistance characteristic curve of each pipeline, including:

[0124] The cooling demand information, the calibration compensation value of the pressure sensor, the current speed efficiency characteristic curve, and the current network resistance characteristic curve of each pipe are input into the preset water pump control model to obtain the initial power of the water pump output by the preset water pump control model; the viscosity value of the fluid in the cooling water system is obtained; a first preset correspondence is obtained; the first preset correspondence includes a one-to-one correspondence between multiple viscosity value ranges and multiple viscosity adjustment coefficients; the viscosity adjustment coefficient corresponding to the viscosity value range in the first preset correspondence is used as the target viscosity adjustment coefficient; the product of the initial power and the target viscosity adjustment coefficient is used as the target power of the water pump.

[0125] Specifically, cooling demand information can be understood as parameters such as the cooling load or target temperature that the cooling water system needs to meet. This information guides the operation of the water pump to ensure the system can provide sufficient cooling capacity. The preset water pump control model is a pre-established mathematical model or algorithm that comprehensively considers cooling demand information, pressure sensor calibration compensation values, current speed efficiency characteristic curves, and current network resistance characteristic curves for each pipe to calculate the initial power required by the water pump under ideal conditions. This model can be built based on physical equations, empirical data, or machine learning algorithms, and its purpose is to initially determine the operating power of the water pump without considering the influence of viscosity.

[0126] Obtaining the viscosity of fluids in a cooling water system can be achieved in several ways. For example, a viscosity sensor can be configured to directly measure the real-time viscosity of the fluid; alternatively, if there is a known relationship between fluid viscosity and temperature, the viscosity value can be obtained by measuring the fluid temperature and looking up a table or by calculating using a preset function. The aim is to obtain key parameters reflecting the current flow characteristics of the fluid.

[0127] In practical applications, the first preset correspondence refers to a pre-stored mapping table or function that establishes a one-to-one correspondence between different viscosity ranges and their corresponding viscosity adjustment coefficients. For example, when the fluid viscosity is within a specific range, it corresponds to a specific adjustment coefficient. This correspondence can be obtained through experimental testing, simulation, or empirical data analysis, and its purpose is to provide a basis for adjusting the power of water pumps under different viscosity conditions. The viscosity adjustment coefficient is a dimensionless multiplier used to correct the initial power of the water pump to compensate for the impact of viscosity changes on pump performance.

[0128] Furthermore, using the viscosity adjustment coefficient corresponding to the viscosity value range in the first preset correspondence as the target viscosity adjustment coefficient means finding or calculating the most suitable adjustment coefficient in the first preset correspondence based on the currently acquired fluid viscosity value. For example, if the current viscosity value is X, and X falls within the viscosity value range [A, B], then the viscosity adjustment coefficient corresponding to [A, B] is selected as the target viscosity adjustment coefficient.

[0129] Ultimately, the product of the initial power and the target viscosity adjustment factor is taken as the target power of the pump. This means that the final operating power of the pump will be adjusted according to the actual viscosity of the fluid. If the fluid viscosity increases, more power may be needed to overcome the increased resistance; if the viscosity decreases, less power may be needed. In this way, it can be ensured that the pump operates at an efficiency closest to its optimal level under different viscosity conditions.

[0130] This application's solution effectively addresses the problems of control deviation and poor energy-saving effects that may arise from changes in fluid viscosity in traditional control methods by introducing fluid viscosity as a correction factor during the water pump control process. Specifically, after initially determining the initial power of the water pump, the real-time viscosity value of the fluid in the cooling water system is obtained, and combined with a preset first correspondence, the target viscosity adjustment coefficient corresponding to the current fluid viscosity can be accurately determined. This target viscosity adjustment coefficient reflects the degree of influence of fluid viscosity changes on water pump performance (especially power demand).

[0131] By multiplying the initial power by the target viscosity adjustment factor, the influence of fluid viscosity can be incorporated into the final target power calculation of the water pump. This allows the water pump's operating power to more accurately adapt to the actual operating conditions of the fluid. This viscosity-corrected control strategy enables the water pump to overcome the additional resistance or performance loss caused by changes in fluid viscosity, ensuring that the water pump always operates close to its optimal efficiency point and avoiding energy waste or insufficient cooling capacity due to viscosity variations.

[0132] Through the above technical solution, this application enables precise adaptive control of the water pump's operating power. Compared with traditional methods that rely solely on speed-efficiency characteristic curves, pipeline resistance characteristic models, and pressure sensor calibration, this application further considers the critical impact of fluid viscosity on water pump performance. By acquiring fluid viscosity in real time and applying corresponding viscosity adjustment coefficients, power demand fluctuations caused by viscosity changes can be effectively compensated, thereby significantly improving the accuracy of water pump control and energy-saving effects. This solution allows the water pump to maintain efficient operation even when facing viscosity changes caused by different temperatures or fluid compositions, avoiding unnecessary energy loss, extending equipment lifespan, and ensuring that the cooling water system always operates in optimal condition, resulting in significant economic and environmental benefits.

[0133] This application also discloses an energy-saving water pump adaptive control system, comprising: an acquisition device and a processing device; the acquisition device is used to acquire operating information of a cooling water system; the processing device is used to determine whether the cooling water system is in a low-production state based on the operating information; the processing device is used to, when the cooling water system is in a low-production state, within a first time period, correct the original speed-efficiency characteristic curve of the water pump based on the speed of the water pump in the cooling water system to obtain a current speed-efficiency characteristic curve; the original speed-efficiency characteristic curve or the current speed-efficiency characteristic curve includes a one-to-one correspondence between the speed of the water pump and the efficiency index of the water pump; the processing device is used to, within a second time period, correct the original network resistance characteristic model of each pipe in the cooling water system based on the friction coefficient of each pipe to obtain a current network resistance characteristic model of each pipe; the processing device is used to, within a third time period, determine the calibration compensation value of the pressure sensor in the cooling water system; the first time period, the second time period, and the third time period are different time periods when the cooling water system is in a low-production state; the processing device is used to control the water pump based on the calibration compensation value of the pressure sensor, the current speed-efficiency characteristic curve, and the current network resistance characteristic curve of each pipe.

[0134] This application proposes an energy-saving adaptive control system for water pumps, aiming to address the problem of energy waste caused by deviations between the internal model and the actual physical state of traditional adaptive control systems during long-term operation due to factors such as pump wear, pipe scaling, and sensor drift. The system acquires real-time operating information of the cooling water system and, when the system is in a low-production state, adaptively corrects the pump efficiency characteristics, pipe resistance characteristics, and pressure sensor calibration values ​​in stages. Specifically, the processing device corrects the pump's speed-efficiency characteristic curve in the first time period, corrects the pipe resistance characteristic model in the second time period, and determines the pressure sensor calibration compensation value in the third time period. Finally, based on these corrected and accurate data, the processing device precisely controls the pump, thereby more accurately reflecting the actual operating state of the system, avoiding control deviations caused by equipment aging and environmental changes, and achieving true energy-saving adaptive control.

[0135] The above embodiments have already described the acquisition of cooling water system operating information, the determination of low production status, the correction of the pump's original speed-efficiency characteristic curve, the correction of the pipeline resistance characteristic model, the determination of pressure sensor calibration compensation values, and the specific methods and principles for controlling the pump based on the corrected data, which will not be repeated here. It should be emphasized that the energy-saving water pump adaptive control system of this application implements the above functions through specific hardware and / or software modules.

[0136] Specifically, the acquisition device can be understood as a hardware module used to collect operating information of the cooling water system. For example, the acquisition device may include various sensors, such as temperature sensors, flow meters, and pressure sensors, as well as data acquisition cards or communication interfaces for converting sensor signals into digital signals. These sensors are configured to monitor key parameters in real time, such as the heat load of the equipment being cooled, the total flow rate of the pipeline network, the pipeline pressure value, and the system operating time. The acquisition device transmits the collected data to the processing device via wired or wireless means. As a preferred embodiment, the acquisition device can be a distributed sensor network that sends data to a central controller via Industrial Ethernet or Modbus protocol.

[0137] A processing unit can be understood as a computing unit used to execute data processing, logical judgments, and control commands. For example, a processing unit can be an industrial controller (such as a PLC), an industrial computer, an embedded system, or a cloud server. The processing unit may contain one or more processors, memory, and input / output interfaces. The memory stores program code used to implement the aforementioned judgment, correction, and control methods. The processing unit receives operating information transmitted by the acquisition device, executes preset algorithms and logic, determines whether the system is in a low-production state, and calls the corresponding correction module at different time periods based on the judgment result. For example, the processing unit may include a water pump performance correction module, a pipeline resistance correction module, and a sensor calibration module. After completing the correction, the processing unit inputs the corrected data (such as the current speed-efficiency characteristic curve, the current pipeline resistance characteristic model, and the calibration compensation value of the pressure sensor) into the water pump control module, calculates the optimal operating parameters of the water pump, and sends control commands to the water pump's frequency converter or driver through the output interface to adjust the water pump's speed or power, thereby achieving energy-saving control.

[0138] The above are merely embodiments of this application and are not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. An energy saving water pump adaptive control method, characterized by, The method comprises the following steps: acquiring operation information of a cooling water system; judging whether the cooling water system is in a low production state according to the operation information; when the cooling water system is in a low production state, modifying an original rotating speed efficiency characteristic curve of a water pump in the cooling water system to obtain a current rotating speed efficiency characteristic curve based on a rotating speed of the water pump in a first time period; the original rotating speed efficiency characteristic curve or the current rotating speed efficiency characteristic curve comprises a one-to-one correspondence between the rotating speed of the water pump and an efficiency index of the water pump; in a second time period, modifying an original pipe network resistance characteristic model of each pipe of the cooling water system to obtain a current pipe network resistance characteristic model of each pipe based on a friction coefficient of each pipe; in a third time period, determining a calibration compensation value of a pressure sensor in the cooling water system; the first time period, the second time period and the third time period are different time periods when the cooling water system is in a low production state; controlling the water pump based on the calibration compensation value of the pressure sensor, the current rotating speed efficiency characteristic curve and the current pipe network resistance characteristic model of each pipe.

2. The energy saving water pump adaptive control method according to claim 1, characterized in that, The operation information comprises a heat load of a device to be cooled, a pipe network total flow of the cooling water system, a pipe network pressure value of the cooling water system and an operation time, and whether the cooling water system is in a low production state is judged according to the operation information, comprising: when the operation time is within a preset time period, judging whether the heat load of the device to be cooled is less than a preset heat load threshold value within a preset time length; when the heat load of the device to be cooled is less than the preset heat load threshold value within the preset time length, judging whether a change rate of the pipe network total flow is less than a first change rate threshold value within the preset time length; when the change rate of the pipe network total flow is less than the first change rate threshold value within the preset time length, judging whether a change rate of the pipe network pressure value of the cooling water system is less than a second change rate threshold value within the preset time length; when the change rate of the pipe network pressure value of the cooling water system is less than the second change rate threshold value within the preset time length, it is determined that the cooling water system is in a low production state, otherwise, it is determined that the cooling water system is not in a low production state.

3. The energy saving water pump adaptive control method according to claim 1, characterized in that, The original rotating speed efficiency characteristic curve of the water pump in the cooling water system is modified based on the rotating speed of the water pump to obtain a current rotating speed efficiency characteristic curve, comprising: adjusting the rotating speed of the water pump to a minimum rotating speed to obtain a current index value of an efficiency index of the water pump; modifying the original rotating speed efficiency characteristic curve of the water pump according to the minimum rotating speed and the current index value to obtain a current rotating speed efficiency characteristic curve.

4. The energy saving water pump adaptive control method according to claim 3, characterized in that, The original rotating speed efficiency characteristic curve of the water pump is modified according to the minimum rotating speed and the current index value to obtain a current rotating speed efficiency characteristic curve, comprising: obtaining an original index value corresponding to the minimum rotating speed in the original rotating speed efficiency characteristic curve; taking a ratio of the current index value to the original index value corresponding to the minimum rotating speed as a first adjustment coefficient; The product of the original index value corresponding to each rotating speed in the original rotating speed efficiency characteristic curve and the first adjustment coefficient is taken as a current index value corresponding to each rotating speed in the current rotating speed efficiency characteristic curve.

5. The energy-efficient pump adaptive control method of claim 1, wherein, The original pipe network resistance characteristic model of each pipe of the cooling water system is corrected based on the friction coefficient of each pipe to obtain a current pipe network resistance characteristic model of each pipe, including: Adjusting the opening of the valve in the cooling water system to determine the current friction coefficient of each pipe of the cooling water system; The original friction coefficient in the original pipe network resistance characteristic model of each pipe is replaced by the current friction coefficient to obtain the current pipe network resistance characteristic model of each pipe.

6. The energy-efficient pump adaptive control method of claim 5, wherein, Adjusting the opening of the valve in the cooling water system to determine the current friction coefficient of each pipe of the cooling water system, including: For each pipe, the opening of the valve is reduced by a preset opening to obtain a first pressure value of the pipe before the opening of the valve is reduced and a second pressure value of the pipe after the opening of the valve is reduced; The ratio of the pressure drop value to the first value is taken as the current friction coefficient; The pressure drop value is the difference between the first pressure value and the second pressure value, the first value is the product of the second value and the third value, the second value is the ratio of the length of the pipe to the diameter of the pipe, and the third value is half of the product of the density of the fluid in the pipe and the fourth value; the fourth value is the square value of the flow rate of the fluid in the pipe.

7. The energy-efficient pump adaptive control method of claim 1, wherein Determining the calibration compensation value of the pressure sensor in the cooling water system, including: Controlling the flow rate of the fluid in the pipe of the cooling water system to be 0; Determining the theoretical hydrostatic pressure of the pressure sensor according to the height difference between the pressure sensor and the bottom of the cooling tower in the cooling water system; Determining the calibration compensation value of the pressure sensor in the cooling water system according to the theoretical hydrostatic pressure and the actual pressure value of the pressure sensor.

8. The energy-efficient pump adaptive control method of claim 7, wherein, Determining the calibration compensation value of the pressure sensor in the cooling water system according to the theoretical hydrostatic pressure and the actual pressure value of the pressure sensor, including: Taking the difference between the theoretical hydrostatic pressure and the actual pressure value as the pressure difference value of the pressure sensor; When the pressure difference value is greater than a preset difference threshold, taking the pressure difference value as the calibration compensation value of the pressure sensor, otherwise, determining the calibration compensation value of the pressure sensor to be 0.

9. An energy-efficient pump adaptive control method according to any one of claims 1-8, characterized in that, Controlling the water pump based on the calibration compensation value of the pressure sensor, the current rotating speed efficiency characteristic curve and the current pipe network resistance characteristic curve of each pipe, including: Inputting the cooling demand information, the calibration compensation value of the pressure sensor, the current rotating speed efficiency characteristic curve and the current pipe network resistance characteristic curve of each pipe into a preset water pump control model to obtain the initial power of the water pump output by the preset water pump control model; Obtaining the viscosity value of the fluid in the cooling water system; Obtaining a first preset corresponding relationship; the first preset corresponding relationship includes a one-to-one correspondence relationship between a plurality of viscosity value ranges and a plurality of viscosity adjustment coefficients; Taking the viscosity adjustment coefficient corresponding to the viscosity value range in which the viscosity value is located in the first preset corresponding relationship as a target viscosity adjustment coefficient; A product of the initial power and the target viscosity adjustment coefficient is taken as a target power of the water pump.

10. An energy saving water pump adaptive control system, characterized by, Comprise: An acquisition device and a processing device; The acquisition device is used to acquire operation information of a cooling water system; The processing device is used to determine whether the cooling water system is in a low production state according to the operation information; The processing device is used to correct an original rotating speed efficiency characteristic curve of a water pump in the cooling water system to obtain a current rotating speed efficiency characteristic curve based on a rotating speed of the water pump within a first time period when the cooling water system is in the low production state; the original rotating speed efficiency characteristic curve or the current rotating speed efficiency characteristic curve comprises a one-to-one correspondence between a rotating speed of the water pump and an efficiency index of the water pump; The processing device is used to correct an original pipe network resistance characteristic model of each pipe of the cooling water system to obtain a current pipe network resistance characteristic model of each pipe of the cooling water system based on a friction coefficient of each pipe within a second time period; The processing device is used to determine a calibration compensation value of a pressure sensor in the cooling water system within a third time period; the first time period, the second time period and the third time period are different time periods when the cooling water system is in the low production state; The processing device is used to control the water pump based on the calibration compensation value of the pressure sensor, the current rotating speed efficiency characteristic curve and the current pipe network resistance characteristic curve of each pipe.

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