Intelligent control method and system for running state of motor of energy-saving water pump

Abstract

The invention discloses an intelligent control method and system for the running state of an energy-saving water pump motor, relates to the technical field of water pump motor control, and aims to solve the problem that preset parameters of a control system are mismatched with actual working conditions due to changes of internal and external physical conditions of the system in modern industrial and municipal water supply systems. The method comprises the steps that pressure response data of a water pump in the operation process are obtained, at least one operation performance index is determined according to the pressure response data, and whether current closed-loop adjustment parameters of a water pump control system are mismatched with the actual hydraulic working condition of the water pump or not is judged according to the at least one operation performance index and a preset ideal operation performance range; when it is judged that mismatch exists, according to a preset parameter adjusting rule, gradual fine adjustment is conducted on the closed-loop adjusting parameters, and the parameter adjusting rule covers the adjusting direction and the adjusting amplitude corresponding to the closed-loop adjusting parameters when different operation performance indexes deviate from the ideal operation performance range.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water pump motor control, and particularly relates to an intelligent control method and system for energy-saving water pump motor operating state. BACKGROUND

[0002] Modern industrial and municipal water supply systems widely use intelligent control methods to optimize the operation of water pump motors to achieve energy saving and ensure stable water supply. These systems usually rely on pre-set device characteristic data and sensor feedback for precise adjustment. However, in long-term continuous operation in complex environments, the internal and external physical conditions of the system will change slowly and continuously, which may cause the initial settings of the control system to no longer adapt to the actual working conditions, thereby affecting its energy-saving effect and operation reliability. SUMMARY

[0003] The present application provides an intelligent control method and system for energy-saving water pump motor operating state, aiming to solve the problem that in modern industrial and municipal water supply systems, due to the changes in internal and external physical conditions of the system during long-term operation, the pre-set parameters of the control system are mismatched with the actual working conditions, thereby affecting the energy-saving effect and operation reliability.

[0004] In a first aspect, to solve the above technical problems, the present application provides an intelligent control method for energy-saving water pump motor operating state, which comprises: acquiring pressure response data of the water pump during operation, the pressure response data being used to represent the dynamic characteristics of the water pump outlet pressure in response to changes in water supply demand; determining at least one operating performance indicator according to the pressure response data, the operating performance indicator being used to quantify the actual operation quality of the water pump control system; judging whether the current closed-loop adjustment parameters of the water pump control system are mismatched with the actual hydraulic working conditions of the water pump according to the at least one operating performance indicator and the pre-set ideal operating performance range; when it is judged that the parameters are mismatched, gradually adjusting the closed-loop adjustment parameters according to the pre-set parameter adjustment rule, the parameter adjustment rule covering the adjustment direction and adjustment amplitude of the corresponding closed-loop adjustment parameters when different operating performance indicators deviate from the ideal operating performance range.

[0005] In a second aspect, the present application provides an intelligent control system for the running state of an energy-saving water pump motor. The system comprises: an acquisition unit configured to acquire pressure response data of the water pump during operation, the pressure response data being used to represent the dynamic characteristics of the water outlet pressure of the water pump in response to changes in water supply demand; a determination unit configured to determine at least one running performance indicator according to the pressure response data, the running performance indicator being used to quantify the actual operation quality of the water pump control system; a judgment unit configured to judge whether the current closed-loop regulation parameter of the water pump control system is mismatched with the actual hydraulic working condition of the water pump according to the at least one running performance indicator and a preset ideal running performance range; and an adjustment unit configured to, when the mismatch is detected, perform gradual fine-tuning on the closed-loop regulation parameter according to a preset parameter adjustment rule, the parameter adjustment rule covering the adjustment direction and adjustment amplitude of the closed-loop regulation parameter when different running performance indicators deviate from the ideal running performance range.

[0006] The intelligent control method for the running state of an energy-saving water pump motor disclosed in the present application can evaluate the actual operation quality of the water pump control system in real time and quantitatively by acquiring the pressure response data during the operation of the water pump and determining the running performance indicators based on the data. The method further judges whether the current closed-loop regulation parameter is mismatched with the actual hydraulic working condition of the water pump according to the running performance indicators and the preset ideal running performance range. When the mismatch is detected, gradual fine-tuning is performed on the closed-loop regulation parameter according to the preset parameter adjustment rule. The method effectively solves the problem in the prior art that, due to the implicit physical degradation factors such as changes in the properties of the conveyed liquid, changes in the roughness of the inner wall of the pipeline, and measurement deviation of the sensor, the preset parameters of the control system gradually deviate from the actual working condition during the long-term operation of the intelligent control system for the water pump motor, thereby affecting the energy-saving effect and the operation reliability. By introducing the dynamic characteristic analysis of the pressure response data and the multi-dimensional running performance indicator evaluation, the present application can accurately identify the implicit physical degradation inside and outside the system, overcoming the limitations of the traditional system relying on fixed parameters and single feedback. The gradual fine-tuning strategy ensures the stability and safety of parameter adjustment, avoiding the system instability caused by aggressive adjustment. BRIEF DESCRIPTION OF DRAWINGS

[0007] Figure 1 FIG. 1 is a flowchart of an intelligent control method for the running state of an energy-saving water pump motor provided by the present application. DETAILED DESCRIPTION

[0008] The technical solutions in the present application will be described clearly and completely in the present application combined with the drawings in the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments. The components of the present application described and shown in the drawings can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed present application, but only represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work belong to the scope of protection of the present application.

[0009] It should be noted that similar reference numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. Meanwhile, in the description of the present application, the terms "first", "second", etc. are only used to distinguish the description, and cannot be understood as indicating or implying relative importance.

[0010] In the long-term operation process of the conventional existing water pump motor intelligent control system, due to the changes of internal and external physical conditions of the system, such as the nature of the transported liquid, the roughness of the pipe inner wall and the measurement deviation of the sensor, etc. Implicit physical degradation factors, the initially set parameters of the control system are no longer suitable for the actual working condition. This makes the system in maintaining the target flow or pressure, may appear overshoot, under-adjustment or slow response, and thus leads to unnecessary increase of energy consumption, and may accelerate the implicit loss of related components, and cannot be effectively identified, diagnosed and self-adapted by the existing intelligent control logic, so that the energy saving effect is far lower than expected.

[0011] In view of the above problems, the present application provides an intelligent control method for the running state of an energy-saving water pump motor. The present application obtains pressure response data during the operation of the water pump, determines the running performance index based on the data, and then determines whether the closed-loop regulation parameters are mismatched with the actual hydraulic working condition, and performs gradual fine tuning when mismatched, thereby realizing intelligent control of the running state of the water pump motor, effectively solving the problem of control parameter mismatch and energy consumption increase caused by working condition changes in the prior art, and improving the energy saving effect and operation reliability of the system.

[0012] The precise fertilization program control method and system for intelligent agricultural equipment provided by the embodiments of the present application will be described and explained in detail in the following specific embodiments.

[0013] With reference Figure 1 The present application provides an intelligent control method for the running state of an energy-saving water pump motor, which can include the following steps:

[0014] S1, obtaining pressure response data of the water pump during operation.

[0015] The pressure response data is used to characterize the dynamic characteristics of the water pump outlet pressure in response to changes in water supply demand.

[0016] Specifically, the pressure response data can be the dynamic characteristic data exhibited by the water pump outlet pressure in response to changes in water supply demand. These data can reflect the response capability and stability of the water pump control system to external changes. For example, when the water supply demand suddenly increases or decreases, the pressure at the water pump outlet will change accordingly. The time series data of these changes is the pressure response data. These data are the basis for evaluating the operation quality of the water pump control system.

[0017] In terms of obtaining pressure response data of the water pump during operation, the embodiments of the present application can adopt various ways. For example, a high-precision pressure sensor can be installed at the water pump outlet to continuously collect pressure signals at a preset sampling frequency. These pressure signals can be analog signals, which are then converted into digital signals by an analog-to-digital converter to form pressure time series data. These time series data can comprehensively record the dynamic changes of the water pump outlet pressure, providing original basis for subsequent analysis. As another implementation way, digital pressure data can also be directly obtained through the existing SCADA (Supervisory Control and Data Acquisition) system, as long as these data can fully characterize the dynamic characteristics of the water pump outlet pressure in response to changes in water supply demand.

[0018] S2, determining at least one operation performance indicator according to the pressure response data.

[0019] The operation performance indicator is used to quantify the actual operation quality of the water pump control system.

[0020] Specifically, the operation performance indicator can be a parameter for quantifying the actual operation quality of the water pump control system. These indicators can be extracted from the pressure response data, such as pressure overshoot, pressure stabilization time, pressure volatility, etc., which can directly reflect the performance of the system in the adjustment process. For example, excessive pressure overshoot can mean that the system responds too aggressively, while excessive pressure stabilization time can indicate that the system responds slowly.

[0021] The embodiments of the present application can extract a plurality of key indicators from the acquired pressure time series data when determining at least one operation performance indicator according to the pressure response data. For example, a maximum deviation value of the actual pressure value from the target pressure set value within a preset time length can be calculated as a pressure overshoot indicator. This indicator reflects the situation that the system may have a transient pressure that is too high or too low during the adjustment process. The time experienced by the actual pressure value to first stabilize within a first error range of the target pressure set value can also be determined as a pressure stabilization time indicator. This indicator reflects the speed of the system from response to stabilization. In addition, the dispersion degree of the pressure time series data within a preset time window after the actual pressure value is in a stable state within a preset time length can be calculated as a pressure volatility indicator. This indicator reflects the smoothness of the system in the stable state. At least one of these indicators can be used as an operation performance indicator. For example, only the pressure overshoot indicator is used to evaluate the system performance, or the pressure overshoot indicator and the pressure stabilization time indicator are used simultaneously.

[0022] S3, judging whether the current closed-loop regulation parameter of the water pump control system is mismatched with the actual hydraulic operating condition of the water pump according to the at least one operation performance indicator and a preset ideal operation performance range.

[0023] The closed-loop regulation parameter generally refers to the proportional coefficient, integral coefficient and differential coefficient in the proportional-integral-differential (PID) controller. These parameters determine how the control system adjusts the output according to the error signal to make the actual output close to the target value. The setting of these parameters is crucial to the performance of the water pump control system. The ideal operation performance range refers to the allowed interval of each operation performance indicator that is preset to ensure efficient and stable operation of the water pump system. When the actual operation performance indicator exceeds this range, it means that the system may have a problem.

[0024] The embodiments of the present application need to preset ideal threshold values corresponding to each operation performance indicator when judging whether the current closed-loop regulation parameter of the water pump control system is mismatched with the actual hydraulic operating condition of the water pump according to the at least one operation performance indicator and a preset ideal operation performance range. For example, a maximum allowed pressure overshoot, a longest allowed pressure stabilization time and a maximum allowed pressure volatility can be set. In a plurality of continuous monitoring periods, the system will continuously judge whether these operation performance indicators continuously exceed the corresponding ideal threshold values. For example, if the pressure overshoot indicator is greater than the preset first ideal threshold value in three continuous monitoring periods, it can be determined that the current closed-loop regulation parameter is mismatched with the actual hydraulic operating condition. This mismatch may be caused by one or more implicit physical degradation factors such as changes in the properties of the delivered liquid, changes in the roughness of the pipe inner wall and measurement deviation of the sensor.

[0025] S4, when judging as mismatch, according to preset parameter adjustment rule, gradually fine-tuning the closed-loop regulation parameter.

[0026] The parameter adjustment rule covers the adjustment direction and adjustment amplitude of the closed-loop regulation parameter when different operation performance indicators deviate from the ideal operation performance range.

[0027] Specifically, the parameter adjustment rule is a strategy preset for guiding the adjustment of the closed-loop regulation parameter. These rules define how to adjust the proportional coefficient, integral coefficient and differential coefficient when the operation performance indicators deviate from the ideal range, including the direction and amplitude of adjustment.

[0028] In the aspect of gradually fine-tuning the closed-loop regulation parameter when judging as mismatch, the parameter adjustment rule is preset, covering the adjustment direction and adjustment amplitude of the corresponding closed-loop regulation parameter when different operation performance indicators deviate from the ideal operation performance range. For example, when the pressure overshoot indicator continuously exceeds the first ideal threshold, the parameter adjustment rule can stipulate to perform the operation of reducing the current proportional coefficient, and the reduction amplitude is the first preset percentage of the current proportional coefficient. When the pressure stabilization time indicator continuously exceeds the second ideal threshold, the parameter adjustment rule can stipulate to perform the operation of increasing the current integral coefficient, and the increase amplitude is the second preset percentage of the current integral coefficient. When the pressure fluctuation indicator continuously exceeds the third ideal threshold, the parameter adjustment rule can stipulate to perform the operation of adjusting the current differential coefficient, and the adjustment direction and adjustment amplitude are determined according to the frequency and amplitude of pressure oscillation. This gradual fine-tuning ensures the stability and safety of parameter adjustment, avoiding system instability caused by large amplitude adjustment.

[0029] It can be understood that the energy-saving water pump motor operation state intelligent control method of the present application acquires pressure response data of the water pump in the running process, determines the operation performance indicators according to these data, and then judges whether the closed-loop regulation parameter of the water pump control system is mismatched with the actual hydraulic working condition of the water pump. When judging as mismatch, according to the preset parameter adjustment rule, the closed-loop regulation parameter is gradually fine-tuned. This method can effectively solve the problem of the existing technology that the implicit physical degradation caused by long-term operation of the water pump makes the initial setting of the control system no longer adapt to the actual working condition.

[0030] Compared with the prior art, the application has the advantages of adaptability and robustness. The prior art often uses fixed PID parameters, or requires manual parameter calibration, which is not sufficient when facing complex and variable actual working conditions. The application can continuously adapt to changes in the actual hydraulic working conditions of the water pump through gradual fine-tuning of the closed-loop adjustment parameters, thereby ensuring that the water pump motor always operates near the best efficiency point, significantly reducing energy consumption. For example, when the roughness of the pipe wall increases, causing the system resistance to increase, the method can automatically adjust the integral coefficient or the differential coefficient to compensate for the change and maintain stable operation of the system by monitoring changes in the pressure stabilization time or the pressure fluctuation index. This adaptive adjustment mechanism not only improves the energy-saving effect of the system, but also prolongs the service life of the equipment and reduces maintenance costs.

[0031] In some embodiments, the above-mentioned obtaining of the pressure response data of the water pump during operation can be implemented in the following manner. The obtaining of the pressure response data of the water pump during operation includes: collecting a pressure analog signal at a preset frequency through a pressure sensor arranged at the water outlet of the water pump; converting the pressure analog signal into a pressure digital signal to obtain pressure time series data, and taking the pressure time series data as the pressure response data of the water pump during operation.

[0032] The pressure sensor can be understood as a device that can convert the pressure change at the water outlet of the water pump into an electrical signal. The pressure sensor is usually installed on the pipeline at the water outlet of the water pump to monitor the operating state of the water pump in real time. For example, a piezoresistive pressure sensor, a capacitive pressure sensor, or a piezoelectric pressure sensor can be used. The preset frequency refers to the time interval of data collection, for example, 10 or 100 times per second, which should be selected to ensure that the dynamic changes in the pressure at the water outlet of the water pump can be fully captured while avoiding excessive data volume. The pressure analog signal is a continuously changing electrical signal output directly by the pressure sensor, and its amplitude is proportional to the actual pressure value at the water outlet of the water pump. In order to facilitate subsequent digital processing and analysis, the pressure analog signal needs to be converted into a pressure digital signal. This conversion process is usually completed by an analog-to-digital converter (ADC), which discretizes the continuous analog signal into a series of digital values. In this way, pressure time series data can be obtained, which is a set of discrete pressure values arranged in chronological order and can record the trajectory of the pressure change at the water outlet of the water pump over time.

[0033] The scheme of the present application can directly and timely perceive the change of the outlet pressure of the water pump during the operation of the water pump by arranging a pressure sensor at the outlet of the water pump. The pressure sensor converts the physical pressure into an electrical signal and collects the signal at a preset frequency, thereby ensuring the capturing ability of the dynamic change of the pressure. Subsequently, the collected pressure analog signal is converted into a digital signal to form pressure time series data, and this process enables the pressure data to be accurately stored, transmitted and processed. It is this direct and high-frequency digital collection method that enables the acquired pressure response data to accurately and comprehensively represent the dynamic characteristics of the outlet pressure of the water pump in response to the change of the water supply demand, thereby providing a reliable basis for the subsequent determination of the operation performance indicators.

[0034] Through the above technical scheme, the present application can accurately and timely acquire the pressure response data during the operation of the water pump. By using the pressure sensor for high-frequency collection and analog-digital conversion, the accuracy and integrity of the data are ensured, and the false reporting or misjudgment caused by the traditional manual inspection or low-frequency sampling is effectively avoided. Thus, high-quality raw data is provided for the subsequent quantification of the operation performance indicators, which significantly improves the reliability and fineness of the quality evaluation of the operation of the water pump control system, thereby laying a solid data foundation for the effective implementation of the intelligent control method.

[0035] In some embodiments of the present application, a scheme for determining at least one operation performance indicator according to the pressure response data is proposed. Specifically, the step of determining at least one operation performance indicator according to the pressure response data can include the following operations: extracting the maximum deviation value of the actual pressure value relative to the target pressure set value within a preset time length from the pressure time series data, and taking the maximum deviation value as a pressure overshoot indicator; determining the time experienced by the actual pressure value to first stabilize within the first error range allowed by the target pressure set value, and taking the time as a pressure stabilization time indicator; calculating the dispersion degree of the pressure time series data within a preset time window after the actual pressure value is in a stable state within a preset time length, and taking the dispersion degree as a pressure volatility indicator; the stable state refers to that the actual pressure value remains within the preset first error range within a subsequent continuous second time threshold; and taking at least one of the pressure overshoot indicator, the pressure stabilization time indicator and the pressure volatility indicator as the operation performance indicator.

[0036] Specifically, the pressure overshoot indicator refers to the maximum instantaneous deviation of the actual pressure value from the target pressure setpoint before or after the water pump control system responds to changes in water demand. This indicator quantifies the transient performance of the system during dynamic response, reflecting the degree of over-response to changes in setpoint. For example, when water demand suddenly increases or decreases, the output pressure of the water pump may temporarily exceed or fall below the target pressure setpoint before gradually stabilizing. By monitoring and extracting the maximum deviation of the actual pressure value from the target pressure setpoint within a predetermined time period, the overshoot or undershoot of the system can be accurately evaluated.

[0037] The pressure stability time indicator refers to the time required for the actual pressure value to first enter and remain within the first error range allowed by the target pressure setpoint. This indicator measures the speed at which the system transitions from a dynamic response state to a stable state. The first error range can be understood as an acceptable fluctuation interval around the target pressure setpoint, for example, it can be ±2% or ±5% of the target pressure setpoint. When the actual pressure value enters this first error range, if it remains within this range for a subsequent continuous second time threshold, it is considered that the system has reached a stable state. The setting of the second time threshold aims to avoid the case of temporary entry into the error range but fails to truly stabilize.

[0038] In practical applications, the pressure fluctuation indicator refers to the degree of dispersion of the pressure time series data within a predetermined time window after the actual pressure value is in a stable state. This indicator is used to quantify the smoothness of the system during stable operation. The degree of dispersion can be calculated by various statistical methods, such as standard deviation, variance, or mean absolute deviation. The judgment of stable state is based on the actual pressure value remaining within the predetermined first error range for a subsequent continuous second time threshold. The predetermined time window can be a fixed time period, such as a few minutes or hours, to collect enough data to accurately evaluate the pressure fluctuation under stable state. By calculating the degree of dispersion within this time window, the fine control ability and anti-interference ability of the water pump control system during stable operation can be reflected.

[0039] As a preferred implementation, at least one of the pressure overshoot indicator, the pressure stability time indicator, and the pressure fluctuation indicator can be used as the operation performance indicator. This means that one or more indicators can be selected to comprehensively evaluate the operation quality of the water pump control system according to the actual application scenario and different emphasis on system performance. For example, in scenarios where transient response requirements are high, the pressure overshoot indicator may be more critical; while in scenarios where long-term stability and energy efficiency are highly required, the pressure stability time indicator and the pressure fluctuation indicator are more important.

[0040] The scheme of the present application can quantitatively evaluate the operation quality of the water pump control system in multiple dimensions and in detail by introducing the pressure overshoot index, the pressure stabilization time index and the pressure fluctuation index. Traditionally, only whether the pressure reaches the set value may be concerned, but the scheme further analyzes the dynamic process of pressure response and the fluctuation characteristics after stabilization. The pressure overshoot index reveals the impact and overshoot of the system in fast response, which helps to identify the problem of too aggressive control parameters; the pressure stabilization time index reflects the convergence speed of the system from dynamic change to stabilization, which helps to evaluate the response efficiency of the control system; and the pressure fluctuation index quantifies the smoothness of the system in the steady state, which helps to find the problem of insufficient control accuracy or persistent disturbance. Through the comprehensive use of these indexes, the actual performance of the water pump control system under different working conditions can be more comprehensively understood, and more accurate and more instructive basis can be provided for subsequent closed-loop regulation parameter adjustment.

[0041] Through the above technical scheme, the present application can provide a more comprehensive and detailed evaluation method for the operation quality of the water pump control system. Compared with the traditional method which only relies on a single or rough index, the scheme introduces the pressure overshoot index, the pressure stabilization time index and the pressure fluctuation index, which can accurately quantify the actual operation quality of the water pump control system from multiple dimensions such as transient response, dynamic convergence and steady smoothness. Thus, the performance bottleneck and potential problems of the water pump control system under different hydraulic working conditions can be more effectively identified, and a solid data foundation can be provided for the subsequent optimization and adjustment of the closed-loop regulation parameters, thereby significantly improving the energy saving, stability and reliability of the water pump operation.

[0042] In some embodiments of the present application described above, although it is proposed to judge whether the closed-loop regulation parameters of the water pump control system are mismatched with the actual hydraulic working condition of the water pump according to the operation performance index and the preset ideal operation performance range, in actual application, the water pump operation environment is complex and variable, and short-term working condition fluctuation or transient disturbance may cause the operation performance index to temporarily deviate from the ideal range. If only the single or short-term deviation is used for judgment, it may lead to misjudgment or frequent unnecessary parameter adjustment, thereby affecting the stability and energy efficiency of the system. In addition, the underlying cause of the mismatch is not explicitly identified and attributed.

[0043] To this end, the application further provides the method for judging whether the current closed-loop regulation parameter of the water pump control system is mismatched with the actual hydraulic working condition of the water pump according to at least one operation performance index and a preset ideal operation performance range, comprising: presetting a first ideal threshold value corresponding to the pressure overshoot index, a second ideal threshold value corresponding to the pressure stabilization time index, and a third ideal threshold value corresponding to the pressure fluctuation index; in a plurality of continuous monitoring periods, judging whether the pressure overshoot index continuously exceeds the first ideal threshold value, or whether the pressure stabilization time index continuously exceeds the second ideal threshold value, or whether the pressure fluctuation index continuously exceeds the third ideal threshold value; if any operation performance index exceeds the corresponding ideal threshold value in the plurality of continuous monitoring periods, it is determined that the current closed-loop regulation parameter is mismatched with the actual hydraulic working condition, and the mismatch is caused by one or more implicit physical degradation factors such as change of conveying liquid property, change of pipeline inner wall roughness and sensor measurement deviation.

[0044] Specifically, the first ideal threshold value, the second ideal threshold value and the third ideal threshold value are respectively used to define the acceptable range of the pressure overshoot index, the pressure stabilization time index and the pressure fluctuation index in the ideal operation state. These threshold values can be calibrated according to the design parameters of the water pump, the system performance requirements and the historical operation data, so as to ensure that the system meets the water supply demand while maintaining the best energy efficiency and stability. For example, the first ideal threshold value can be set as the maximum allowable pressure overshoot percentage, the second ideal threshold value can be set as the maximum allowable stabilization time, and the third ideal threshold value can be set as the maximum allowable pressure fluctuation amplitude.

[0045] Wherein, the judgment in the plurality of continuous monitoring periods means that the system does not judge immediately based on a single monitoring result, but continuously tracks and evaluates the operation performance index for a period of time. Each monitoring period can be a fixed time period, for example, several minutes, several hours or several days, which depends on the dynamic response characteristics and working condition change frequency of the water pump system. Only when a certain operation performance index continuously exceeds its corresponding ideal threshold value in these continuous monitoring periods, it is considered that there is a real, non-instantaneous performance decline or mismatch. This continuous judgment mechanism effectively avoids false judgments caused by accidental interference or measurement error.

[0046] In practical applications, if any of the operation performance indicators exceeds the corresponding ideal threshold value in consecutive multiple monitoring periods, it is determined that the current closed-loop regulation parameter is mismatched with the actual hydraulic working condition. Such mismatch is not always an obvious external failure, but is often caused by some implicit physical degradation factors. For example, changes in the properties of the delivered liquid can include changes in the viscosity, density or temperature of the liquid, which directly affect the head and flow characteristics of the water pump; changes in the roughness of the inner wall of the pipeline can be caused by scaling, corrosion or wear, thereby increasing the resistance of the pipeline and changing the hydraulic characteristics of the system; sensor measurement deviation can be caused by sensor aging, calibration drift or external interference, resulting in distortion of the feedback signal. Identifying these implicit factors helps to better understand the root cause of the performance degradation of the system, and provides a more accurate basis for subsequent parameter adjustment.

[0047] The scheme of the present application effectively solves the misjudgment problem that can exist in the basic scheme by introducing ideal threshold values and a continuous multi-period monitoring mechanism. Specifically, the pre-set ideal threshold values clearly define the performance boundaries of the water pump system in a normal and efficient operating state, providing a quantitative standard for judgment. The judgment logic of "continuously exceeding in consecutive multiple monitoring periods" enables the system to distinguish between transient disturbances and persistent performance degradation. Only when the operation performance indicators deviate from the ideal range for a long time and stably, the mismatch is triggered, which indicates that the actual hydraulic working condition of the water pump has changed significantly and continuously, causing the current closed-loop regulation parameter to be no longer adaptive. As a result, the system can avoid overreaction to temporary fluctuations, thereby improving the accuracy and stability of the judgment. In addition, it is pointed out that the mismatch can be caused by implicit physical degradation factors such as changes in the properties of the delivered liquid, changes in the roughness of the inner wall of the pipeline, and sensor measurement deviation, which helps to fundamentally understand the reasons for the performance degradation of the system, and provides more targeted guidance for subsequent parameter adjustment, so that the adjustment strategy can better adapt to changes in the actual working condition.

[0048] Through the above technical scheme, the present application can significantly improve the accuracy and robustness of the water pump control system in judging the mismatch between the closed-loop regulation parameter and the actual hydraulic working condition. By setting fine ideal threshold values and combining continuous multi-period monitoring, the system can effectively filter out transient interference and incidental fluctuations, avoiding frequent or unnecessary parameter adjustment caused by misjudgment, thereby ensuring the stability and energy efficiency of the water pump operation. In addition, the in-depth identification of the mismatch causes, especially the revelation of implicit physical degradation factors, enables the system to more accurately understand the root cause of the performance degradation, providing a more reliable basis for subsequent intelligent parameter fine-tuning, further optimizing the energy-saving operation effect of the water pump and prolonging the service life of the equipment.

[0049] In some preferred embodiments, the following is illustrated by a specific example. Assume that a water pump in a water supply system has a target pressure setpoint of 0.5 MPa. According to historical operation data and system requirements, the pre-set ideal performance range is: the first ideal threshold of the pressure overshoot index is 5%, the second ideal threshold of the pressure settling time index is 10 seconds, and the third ideal threshold of the pressure fluctuation index is 0.01 MPa. The system sets a monitoring period of 10 minutes, and requires that the threshold be exceeded for three consecutive monitoring periods to determine a mismatch.

[0050] In a certain period of time, the viscosity of the delivered liquid gradually increases, which is a change in the nature of the delivered liquid, and the dynamic response characteristics of the water pump change when responding to changes in water supply demand. The specific performance is: in the first monitoring period, the pressure overshoot index is 6%, the pressure settling time index is 12 seconds, and the pressure fluctuation index is 0.008 MPa. At this time, the pressure overshoot and the settling time exceed the threshold, but have not reached three consecutive periods. In the second monitoring period, the pressure overshoot index is 6.5%, the pressure settling time index is 13 seconds, and the pressure fluctuation index is 0.009 MPa. At this time, the pressure overshoot and the settling time continue to exceed the threshold. In the third monitoring period, the pressure overshoot index is 7%, the pressure settling time index is 14 seconds, and the pressure fluctuation index is 0.011 MPa. At this time, the pressure overshoot, the settling time, and the pressure fluctuation all continue to exceed the respective ideal thresholds, and have been three consecutive monitoring periods.

[0051] According to the judgment logic of the present application, since at least one of the pressure overshoot index, the pressure settling time index, and the pressure fluctuation index (all three in this example) continues to be greater than the corresponding ideal threshold in three consecutive monitoring periods, the system will determine that the current closed-loop regulation parameters are mismatched with the actual hydraulic operating conditions of the water pump. Further, the system can attribute this mismatch to implicit physical degradation factors such as changes in the nature of the delivered liquid, thereby providing a clear direction for subsequent parameter fine-tuning. For example, the system can adjust the proportional coefficient and the integral coefficient according to the parameter adjustment rule to adapt to the system response delay caused by the increase in liquid viscosity.

[0052] In some embodiments of the above-mentioned embodiments of the present application, an intelligent control method for the operating state of an energy-saving water pump motor is proposed. The method can obtain pressure response data of the water pump during operation, determine an operating performance indicator based on the data, and then determine whether the closed-loop regulation parameters of the water pump control system are mismatched with the actual hydraulic working condition of the water pump. When there is a mismatch, the method gradually adjusts the closed-loop regulation parameters according to a preset parameter adjustment rule. However, the description of the "preset parameter adjustment rule" in the above-mentioned solution is relatively macroscopic, and lacks specific adjustment strategies for different operating performance indicators. This may result in low efficiency of parameter adjustment in actual application, or even inaccurate adjustment direction or inappropriate adjustment amplitude, thereby affecting the ability of the system to quickly recover to the optimal operating state.

[0053] To this end, the present application further proposes that the closed-loop regulation parameters include a proportional coefficient, an integral coefficient, and a differential coefficient; and when it is determined that there is a mismatch, the closed-loop regulation parameters are gradually adjusted according to a preset parameter adjustment rule, including: when the pressure overshoot indicator exceeds the first ideal threshold in consecutive monitoring periods, a current proportional coefficient is reduced by a first preset percentage of the current proportional coefficient; when the pressure stabilization time indicator exceeds the second ideal threshold in consecutive monitoring periods, a current integral coefficient is increased by a second preset percentage of the current integral coefficient; and when the pressure fluctuation indicator exceeds the third ideal threshold in consecutive monitoring periods, a current differential coefficient is adjusted, and the adjustment direction and amplitude are determined according to the frequency and amplitude of pressure oscillation.

[0054] Specifically, the closed-loop regulation parameters generally refer to the proportional coefficient, the integral coefficient, and the differential coefficient, which are core parameters in a PID (Proportional-Integral-Derivative) controller and are respectively used to control the immediate response of the system to error, the elimination of accumulated error, and the prediction of error change rate. When the pressure overshoot indicator exceeds the first ideal threshold in consecutive monitoring periods, it indicates that the response of the system to changes in water demand is too intense, resulting in a significant overshoot of the pressure above the target set value. At this time, by performing the operation of reducing the current proportional coefficient, the immediate response strength of the system to the current error can be reduced, thereby effectively suppressing the pressure overshoot. The reduction amplitude is set to a first preset percentage of the current proportional coefficient to ensure the gradualness and stability of the adjustment.

[0055] Further, when the pressure stability time indicator exceeds the second ideal threshold in consecutive monitoring periods, it indicates that the system takes a long time to stabilize within the allowed error range after reaching the target pressure setpoint. This is usually due to insufficient integral action, which slows down the system's ability to eliminate steady-state error. To address this, the operation of increasing the current integral coefficient is performed, which can enhance the system's ability to eliminate accumulated error and thus speed up the pressure stabilization process. The increase amplitude is set as a second preset percentage of the current integral coefficient to achieve smooth performance improvement.

[0056] In addition, when the pressure fluctuation indicator exceeds the third ideal threshold in consecutive monitoring periods, it indicates that there are undesirable pressure oscillations in the system under stable conditions. Such fluctuations may be caused by various factors and require fine damping control. At this time, the operation of adjusting the current derivative coefficient is performed, and the adjustment direction and adjustment amplitude will be determined according to the specific frequency and amplitude of the pressure oscillation. For example, for high-frequency small-amplitude oscillation, it may be necessary to increase the derivative coefficient to provide stronger damping; for low-frequency large-amplitude oscillation, fine-tuning may be required according to specific conditions to avoid excessive suppression or introduce new instability factors.

[0057] The scheme of the present application specifically defines the closed-loop adjustment parameters as proportional coefficient, integral coefficient and derivative coefficient, and develops specific and directional parameter adjustment strategies for the three key performance indicators: pressure overshoot indicator, pressure stability time indicator and pressure fluctuation indicator. When the pressure overshoot indicator is consistently high, reducing the proportional coefficient can effectively reduce the system's transient response strength, avoid pressure overshoot, and make the system response more stable. When the pressure stability time indicator is consistently too long, increasing the integral coefficient can enhance the system's ability to eliminate steady-state error and speed up the process of reaching and maintaining the target pressure. When the pressure fluctuation indicator is consistently large, adjusting the derivative coefficient according to the frequency and amplitude of the pressure oscillation can provide appropriate damping for the system, effectively suppress unnecessary pressure fluctuations and improve the system's stability. This fine-tuning mechanism allows the system to make precise interventions based on specific performance deficiencies, avoiding the negative effects of blind adjustments.

[0058] By the technical solution, the application can provide a more fine and intelligent parameter adjustment mechanism. The mechanism can make targeted PID parameter adjustment according to specific defects of the water pump control system in different operation performance indicators, thereby effectively solving the problems of low parameter adjustment efficiency and poor accuracy in the traditional method. The precise adjustment can not only quickly restore the optimal operation state of the water pump control system, significantly improve the stability, response speed and accuracy of the water supply pressure control, but also avoid unnecessary energy loss, further improve the energy saving effect of the water pump operation. In addition, through the gradual fine tuning of the PID parameters, the system can better adapt to the implicit changes of the hydraulic working condition, prolong the service life of the equipment, reduce the maintenance cost, thereby realizing long-term, efficient and intelligent control of the water pump motor operation state.

[0059] In some preferred embodiments, assuming that the pressure overshoot indicator of a water pump control system exceeds the preset first ideal threshold value (for example, the target pressure is 0.5 MPa, the actual pressure peak value reaches 0.6 MPa, the overshoot is 20%, and the first ideal threshold value is 10%) for five consecutive monitoring periods during operation. At this time, the system will automatically perform the operation of reducing the current proportional coefficient, for example, reducing the current proportional coefficient from 0.8 to its first preset percentage (for example, 5%), that is, to 0.76. In another scenario, if the system detects that the pressure stabilization time indicator exceeds the preset second ideal threshold value (for example, after the target pressure changes, the stabilization time exceeds 15 seconds, and the second ideal threshold value is 10 seconds) for three consecutive monitoring periods, the system will perform the operation of increasing the current integral coefficient, for example, increasing the current integral coefficient from 0.2 to its second preset percentage (for example, 10%), that is, to 0.22. For example, when the system is in a stable operation state, the pressure fluctuation indicator exceeds the preset third ideal threshold value (for example, the pressure continuously oscillates within the target value ± 5%, and the third ideal threshold value is ± 2%) for four consecutive monitoring periods, and it is found that the oscillation frequency is 0.8 Hz and the amplitude is 0.03 MPa. At this time, the system will adjust the differential coefficient according to the preset adjustment strategy, for example, if the strategy stipulates that the differential coefficient should be moderately increased to enhance the damping for such high-frequency medium-amplitude oscillation, the differential coefficient will be adjusted from 0.1 to 0.12. These specific adjustment operations enable the system to intelligently optimize the PID parameters according to the actual operation performance, thereby improving the overall control performance.

[0060] After the gradual fine tuning of the above-mentioned closed-loop adjustment parameters, if there is a lack of effective evaluation mechanism for the adjustment effect, it may lead to improper parameter adjustment direction or amplitude, thereby making the operation quality of the water pump control system not only not improved, but also possibly deteriorated, and even causing system instability, thereby affecting the energy saving effect and water supply stability.

[0061] To this end, the present application further proposes that after the gradual fine-tuning of the closed-loop regulation parameter, the method further comprises: in a new monitoring period after the parameter fine-tuning, reacquiring the pressure response data and determining the corresponding operation performance indicators; comparing the operation performance indicators obtained after the parameter fine-tuning with the operation performance indicators obtained before the parameter fine-tuning; if the operation performance indicators obtained after the parameter fine-tuning show an improvement trend towards the ideal operation performance range relative to the operation performance indicators obtained before the parameter fine-tuning, the closed-loop regulation parameter after the fine-tuning is maintained; if the operation performance indicators obtained after the parameter fine-tuning deteriorate relative to the operation performance indicators obtained before the parameter fine-tuning, the closed-loop regulation parameter is rolled back to the state before the fine-tuning, and an adjustment strategy different from the current fine-tuning direction is executed.

[0062] Specifically, after the fine-tuning of the closed-loop regulation parameter, the system enters a new monitoring period. In this period, the pressure response data of the water pump during operation is reacquired, and based on these data, new operation performance indicators, such as the pressure overshoot amount indicator, the pressure stabilization time indicator, and the pressure fluctuation indicator, are determined according to the above method. These newly determined operation performance indicators reflect the actual operation quality of the system after the parameter fine-tuning. Subsequently, these operation performance indicators obtained after the fine-tuning are compared in detail with the operation performance indicators recorded before the fine-tuning. This comparison aims to evaluate the actual effect of the parameter adjustment.

[0063] If the comparison result shows that the operation performance indicators obtained after the parameter fine-tuning show an improvement trend towards the ideal operation performance range relative to the operation performance indicators obtained before the fine-tuning, such as a decrease in the pressure overshoot amount indicator, a shortening of the pressure stabilization time indicator, or a decrease in the pressure fluctuation indicator, it indicates that the current parameter adjustment is effective. In this case, the closed-loop regulation parameter after the fine-tuning is maintained to maintain and consolidate the improvement of system performance.

[0064] However, if the comparison result shows that the operation performance indicators obtained after the parameter fine-tuning deteriorate relative to the operation performance indicators obtained before the fine-tuning, such as an increase in the pressure overshoot amount indicator, an extension of the pressure stabilization time indicator, or an increase in the pressure fluctuation indicator, it indicates that the current parameter adjustment may be inappropriate. In this case, in order to avoid further deterioration of system performance, the closed-loop regulation parameter is immediately rolled back to the state before the fine-tuning to restore to the known stable point before the adjustment. At the same time, the system executes an adjustment strategy different from the current fine-tuning direction, which means that in the next attempt to adjust, according to the specific deterioration situation and the preset adjustment rule, a parameter adjustment scheme opposite or different from the direction that caused the deterioration is selected to find the correct optimization path.

[0065] The scheme of the present application effectively solves the problem that parameter adjustment may cause performance deterioration in the above-mentioned basic scheme by introducing a parameter-adjusted effect evaluation and feedback mechanism. Specifically, after progressive fine-tuning of the closed-loop adjustment parameters, the system does not blindly accept the adjustment results, but re-acquires pressure response data and determines the performance indicators in a new monitoring period to quantitatively evaluate the adjustment effect. By comparing the performance indicators before and after adjustment, the system can objectively judge whether this fine-tuning has brought improvement or caused deterioration. This real-time effect evaluation mechanism enables the system to identify and correct improper parameter adjustment in a timely manner, avoiding system performance degradation or instability caused by incorrect adjustment. When deterioration is detected, the parameter rollback mechanism ensures that the system can quickly recover to a known stable state, and the execution of an adjustment strategy different from the direction of this fine-tuning provides the system with the ability to learn and explore more optimal parameter configurations, thereby ensuring the robustness and effectiveness of the parameter adjustment process.

[0066] Through the above technical scheme, the present application significantly improves the adaptability and reliability of the intelligent control method for the operating state of an energy-saving water pump motor. The scheme not only identifies and corrects improper closed-loop adjustment parameter adjustment, effectively avoiding problems such as system performance deterioration, increased energy consumption, or unstable water supply caused by incorrect adjustment, but also provides the control system with stronger self-learning and optimization capabilities through parameter rollback and strategy adjustment. As a result, the water pump control system can continuously maintain an optimal operating state when facing complex and variable hydraulic conditions, further improving energy-saving effect and operational stability, and prolonging equipment service life.

[0067] In some preferred embodiments, the following is described by a specific example. Assume that in a certain monitoring period, the water pump control system is determined to be mismatched with the actual hydraulic condition for the closed-loop adjustment parameters, specifically manifested as the pressure overshoot indicator being continuously greater than the first ideal threshold. According to the preset parameter adjustment rule, the system performs an operation of reducing the current proportional coefficient, with a reduction amplitude of the first preset percentage of the current proportional coefficient.

[0068] After this fine-tuning operation, the system enters a new monitoring period, re-acquires pressure response data and determines the performance indicators. Assume that in the new monitoring period, the system finds that although the pressure overshoot indicator has improved, the pressure stabilization time indicator has significantly increased, exceeding the second ideal threshold, indicating that the system response speed has slowed down and the overall operation quality has deteriorated.

[0069] At this time, according to the above scheme, the system will roll back the closed-loop regulation parameters to the state before fine-tuning, that is, restore the proportional coefficient before reducing the proportional coefficient. Subsequently, the system will perform an adjustment strategy different from the direction of this fine-tuning. For example, since the deterioration this time is mainly reflected in the pressure stabilization time index, the system may attempt to increase the current integral coefficient by a second preset percentage of the current integral coefficient, or use a smaller reduction amplitude when attempting to reduce the proportional coefficient next time, in order to avoid causing the pressure stabilization time index to deteriorate again. Through this iterative and feedback mechanism, the system can gradually converge to the optimal closed-loop regulation parameters, ensuring that the water pump can operate efficiently and stably under various working conditions.

[0070] In some embodiments of the present application described above, a scheme is proposed after gradually fine-tuning the closed-loop regulation parameters, by reacquiring the pressure response data and determining the corresponding operation performance indicators, and then comparing the operation performance indicators obtained after parameter fine-tuning with the operation performance indicators obtained before parameter fine-tuning to judge the fine-tuning effect. However, in the implementation process, if the operation performance indicators after parameter fine-tuning deteriorate relative to the operation performance indicators before parameter fine-tuning, the above scheme only indicates that the closed-loop regulation parameters will be rolled back to the state before fine-tuning, and an adjustment strategy different from the direction of this fine-tuning will be performed, but does not explicitly indicate how the specific "different adjustment strategy" should be implemented. This uncertainty may cause the system to fall into a trial-and-error cycle during parameter adjustment, reducing the adjustment efficiency, and even may further exacerbate the instability of the system due to inappropriate adjustment direction, especially when facing complex and nonlinear hydraulic working condition changes.

[0071] To this end, the present application further proposes that the above adjustment strategy different from the direction of this fine-tuning includes: if the pressure stabilization time index deteriorates due to performing the operation of increasing the current integral coefficient, then after rolling back to the integral coefficient before adjustment, performing the operation of reducing the current integral coefficient by a third preset percentage of the current integral coefficient; if the pressure overshoot index deteriorates due to performing the operation of reducing the current proportional coefficient, then after rolling back to the proportional coefficient before adjustment, performing the operation of increasing the current proportional coefficient by a fourth preset percentage of the current proportional coefficient.

[0072] Specifically, when the water pump control system attempts to increase the integral coefficient to improve certain operating performance (e.g., reduce steady-state error), if the pressure stabilization time indicator is observed to deteriorate instead, it usually means that the integral action is too strong, causing the system response to be too sluggish or oscillatory. In this case, after reverting to the integral coefficient before adjustment, the operation of reducing the current integral coefficient is a targeted correction of the previous adjustment direction. The third preset percentage can be a pre-set fixed value, such as 1% or 2%, or a percentage dynamically determined according to the system historical performance or current working condition, aiming to achieve fine and progressive adjustment.

[0073] Similarly, when the water pump control system attempts to reduce the proportional coefficient to reduce the pressure overshoot, if it leads to deterioration of the pressure overshoot indicator instead, it can indicate that the proportional action is weakened too much, making the system response sluggish and unable to quickly and effectively suppress disturbances, which can lead to greater overshoot or longer response time. At this time, after reverting to the proportional coefficient before adjustment, the operation of increasing the current proportional coefficient can effectively restore the system's ability to quickly respond to deviations. The fourth preset percentage can be configured according to actual needs, similar to the third preset percentage.

[0074] The scheme of the present application can effectively avoid the control system from falling into an ineffective trial-and-error cycle during parameter optimization by taking an adjustment strategy opposite to the current fine-tuning direction when the fine-tuning causes operating performance to deteriorate. Specifically, when increasing the integral coefficient leads to deterioration of the pressure stabilization time indicator, it usually indicates that the integral action is too strong, causing the system's cumulative response to error to be too aggressive, thereby prolonging the time required to reach stability, and even possibly causing low-frequency oscillation. At this time, by reverting and reducing the integral coefficient, the excessive integral action can be weakened, making the system response more stable, thereby helping to shorten the pressure stabilization time. Conversely, when reducing the proportional coefficient leads to deterioration of the pressure overshoot indicator, it can mean that the proportional action is insufficient, and the system's immediate response to deviation has decreased, resulting in increased pressure fluctuation amplitude and greater overshoot when responding to changes in water demand. By reverting and increasing the proportional coefficient, the system's ability to quickly correct deviations can be enhanced, thereby effectively suppressing pressure overshoot. This targeted reverse adjustment strategy is based on a deep understanding of the relationship between PID control parameters and system dynamic response, ensuring the logicality and effectiveness of parameter adjustment.

[0075] By the technical solution, the robustness and efficiency of the energy-saving water pump motor operation state intelligent control method in the parameter self-adaptive adjustment process can be improved. When the initial parameter fine-tuning direction is incorrect and causes system performance deterioration, the scheme is no longer simply rolled back and tries any different strategy, but intelligently selects the opposite adjustment direction according to the specific deterioration index (such as pressure stabilization time or pressure overshoot) and the parameter adjustment direction that causes the deterioration. This avoids blind trial and error, reduces the time of the system running in an unstable or suboptimal state, and speeds up the convergence process of the parameter to the optimal value. Therefore, the control system can more quickly and accurately adapt to the implicit changes of the hydraulic working condition, ensure long-term stable, efficient and energy-saving operation of the water pump system, and reduce the frequency and difficulty of manual intervention.

[0076] In some preferred embodiments, the following is described by a specific example. Assume that in a certain parameter adjustment, in order to further eliminate the steady-state error, the system performs the operation of increasing the current integral coefficient by a second preset percentage (for example, 2%) of the current integral coefficient. However, in the subsequent monitoring period, it is found that the pressure stabilization time index is deteriorated from the previous 5 seconds to 8 seconds, which exceeds the second preset ideal threshold. According to the above scheme, the system first rolls back the integral coefficient to the state before adjustment. Then, since increasing the integral coefficient causes the pressure stabilization time index to deteriorate, the system will perform the operation of reducing the current integral coefficient by a third preset percentage (for example, 1.5%) of the current integral coefficient.

[0077] For another example, in another adjustment, in order to reduce the pressure overshoot when the water pump starts, the system performs the operation of reducing the current proportional coefficient by a first preset percentage (for example, 3%) of the current proportional coefficient. But in the subsequent monitoring, the pressure overshoot index is deteriorated from the previous 5% to 10%, which is greater than the first ideal threshold. At this time, the system will roll back the proportional coefficient to the state before adjustment, and perform the operation of increasing the current proportional coefficient by a fourth preset percentage (for example, 2.5%) of the current proportional coefficient. Through this targeted reverse adjustment, the system can quickly correct the wrong adjustment direction and avoid running in a suboptimal parameter for a long time, thereby more effectively achieving energy saving and stable operation.

[0078] Specifically, in the above embodiment of determining the operation performance indicator, the process of determining the pressure stabilization time indicator can be further refined. The process of determining the time during which the actual pressure value continuously stabilizes within the first error range allowed by the target pressure set value includes: continuously monitoring the actual pressure value after the target pressure set value changes; starting the timer when the actual pressure value is first detected to enter the first error range; if the actual pressure value remains within the first error range for a subsequent continuous second time threshold, determining that the stable state is reached, stopping the timer and taking the accumulated time as the pressure stabilization time indicator; if the actual pressure value exceeds the first error range during the timing process, resetting and restarting the timer.

[0079] Specifically, during the operation of the water pump control system, when the target pressure set value changes, for example due to the adjustment of water supply demand, the system needs to reach a new stable pressure point. At this time, the actual pressure value at the water outlet of the water pump needs to be continuously monitored. Once the actual pressure value first enters the first error range allowed by the target pressure set value, it indicates that the system is approaching stability, and the timer is started at this time. Thereafter, the system continues to monitor the actual pressure value, and if the actual pressure value can remain within the first error range for a subsequent continuous second time threshold, it can be confirmed that the system has reached a stable state. At this time, the timer stops, and the accumulated time is taken as the pressure stabilization time indicator. This indicator directly reflects the time required for the system to stabilize from the change of the target pressure set value. However, if the actual pressure value exceeds the first error range again during the timing process, it indicates that the system has not truly stabilized, and there may be fluctuations or disturbances, and the timer needs to be reset and restarted to ensure that the measured pressure stabilization time indicator is accurate and reliable.

[0080] The scheme of the present application introduces a mechanism of continuous monitoring, starting the timer when first entering the error range, determining stability when continuously remaining within the error range, and resetting the timer when exceeding the error range, which ensures the accuracy of the pressure stabilization time indicator. This phased timing and judgment logic can effectively avoid misjudgment caused by transient fluctuations or temporary entry into the error range, thereby more accurately quantifying the stability performance of the water pump control system after responding to changes in the target pressure set value.

[0081] By the technical solution, a more accurate and robust pressure stability time index determination method can be provided. Compared with the method of simply stopping timing when the pressure enters the error range, the present solution effectively eliminates the interference of the short-term fluctuation or overshoot phenomenon of the system before reaching stability on the stability time measurement, so that the obtained pressure stability time index can more truly reflect the dynamic response characteristics and stability of the water pump control system under the actual hydraulic working condition, and provide a more reliable data basis for subsequent operation performance evaluation and closed-loop regulation parameter adjustment.

[0082] In some embodiments of the present application, the closed-loop regulation parameters are gradually fine-tuned to cope with the mismatch between the water pump control system and the actual hydraulic working condition. However, in actual application, if the continuous parameter fine-tuning operations are not effectively managed, the system may be adjusted too frequently in a short time. Such frequent adjustment may make the system respond to the effect of the previous adjustment before the next adjustment, thus causing system oscillation, unstable regulation, and even causing the parameters to swing around the ideal value, making it difficult to converge to the optimal state, and thus affecting the stability and energy saving effect of the water pump operation.

[0083] To this end, the present application further provides that the step of gradually fine-tuning the closed-loop regulation parameters includes: setting a cooling time interval of the closed-loop regulation parameters, the cooling time interval being used to define a minimum waiting time between two consecutive gradual fine-tuning operations; and performing the next parameter fine-tuning operation after the cooling time interval ends and the operation performance index still deviates from the ideal operation performance range.

[0084] Specifically, the cooling time interval refers to the minimum time period that the system must wait before performing the next fine-tuning operation after completing the gradual fine-tuning of the closed-loop regulation parameters. The setting of this time interval aims to provide sufficient time for the water pump control system to respond to the effects of the previous parameter adjustment and for the system state to stabilize. The length of the cooling time interval can be preset according to the dynamic response characteristics of the water pump system, the convergence speed of the control algorithm, and the requirements for system stability in actual applications. For example, the cooling time interval can be set to several seconds, tens of seconds, or even minutes, depending on factors such as the inertia of the water pump, the length of the pipeline, and the properties of the liquid. After the cooling time interval ends, the system will again evaluate the current performance indicators. Only when these performance indicators (such as the pressure overshoot indicator, the pressure stabilization time indicator, and the pressure fluctuation indicator) continue to deviate from the preset ideal performance range will the next parameter fine-tuning operation be allowed to be performed. This means that if the system performance has improved and returned to the ideal performance range after a fine-tuning and cooling time interval, the next adjustment will not be performed immediately, thereby avoiding unnecessary frequent interventions.

[0085] The scheme of the present application effectively solves the problem of system instability caused by frequent parameter adjustments in the basic scheme by introducing a cooling time interval. Specifically, after a gradual fine-tuning of the closed-loop regulation parameters, the system does not immediately perform the next adjustment, but is forced to wait for a preset cooling time interval. This waiting mechanism ensures that the system has sufficient time to absorb the effects of the previous parameter adjustment, allowing the actual operating state of the water pump to fully reflect the performance under the new parameters. Only when the system continues to deviate from the ideal range after the cooling period is it triggered to perform subsequent parameter fine-tuning. This mechanism avoids continuous adjustments when the system has not fully responded, thereby preventing the parameters from oscillating around the optimal value, improving the stability and convergence of parameter adjustment.

[0086] Through the above technical scheme, the present application can significantly improve the robustness and stability of the intelligent control method for the operating state of an energy-saving water pump motor. By setting a cooling time interval, the system oscillation and unstable regulation caused by excessively frequent parameter fine-tuning are effectively avoided, ensuring that each parameter adjustment has sufficient time to be digested and fed back by the system. As a result, not only is the efficiency and accuracy of parameter adjustment improved, allowing the closed-loop regulation parameters to more smoothly and effectively converge to the optimal value matching the actual hydraulic working conditions, but also unnecessary calculations and control operations are reduced, prolonging the service life of the control system and water pump equipment, further improving energy-saving effects and operational reliability.

[0087] As a specific embodiment, assume that the pressure stabilization time index of a certain water pump control system continuously exceeds the second ideal threshold during operation, indicating that the current integral coefficient may be mismatched with the actual working condition. The system performs the operation of increasing the current integral coefficient according to the preset parameter adjustment rule. After completing this adjustment, the system will immediately start a preset cooling time interval, for example, set to 30 seconds. Within the 30 seconds, even if the pressure stabilization time index still deviates from the ideal range, the system will not immediately adjust the integral coefficient again. After the 30-second cooling time interval ends, the system will monitor the pressure stabilization time index again. If the index is still continuously greater than the second ideal threshold at this time, the system will perform the operation of increasing the current integral coefficient again. Conversely, if the pressure stabilization time index has fallen within the second ideal threshold within the 30 seconds, indicating that the previous adjustment has taken effect, the system will not perform the next adjustment, thereby avoiding over-regulation and potential system oscillation. This mechanism ensures that each parameter adjustment is based on a full evaluation of the effect of the previous adjustment, thereby improving the effectiveness of the adjustment and the stability of the system.

[0088] In some embodiments, the present application proposes an intelligent control system for energy-saving operation of a water pump motor, comprising: an acquisition unit configured to acquire pressure response data of the water pump during operation, the pressure response data being used to represent the dynamic characteristics of the water outlet pressure of the water pump in response to changes in water supply demand; a determination unit configured to determine at least one performance indicator according to the pressure response data, the performance indicator being used to quantify the actual operation quality of the water pump control system; a judgment unit configured to judge whether the current closed-loop adjustment parameter of the water pump control system is mismatched with the actual hydraulic working condition of the water pump according to the at least one performance indicator and a preset ideal performance range; and an adjustment unit configured to perform gradual fine-tuning on the closed-loop adjustment parameter according to a preset parameter adjustment rule when the mismatch is judged, the parameter adjustment rule covering different adjustment directions and adjustment amplitudes of the closed-loop adjustment parameter corresponding to different performance indicators deviating from the ideal performance range.

[0089] The system aims to solve the problem that the traditional intelligent control system of water pump motor is mismatched with actual working conditions due to the change of the nature of the transported liquid, the change of the roughness of the inner wall of the pipeline and the measurement deviation of the sensor, etc. hidden physical degradation factors, thereby causing the increase of energy consumption and equipment loss. Through the acquisition unit, the pressure response data in the running process of the water pump is monitored in real time, the unit analyzes these data to quantify the performance indicators, the unit compares these indicators with the ideal range to identify the mismatch of the closed-loop regulation parameters, and the adjustment unit adjusts the parameters according to the preset rules to realize the intelligent and adaptive control of the running state of the water pump motor, so that the system can still run efficiently and stably under the changing working conditions, and the energy saving effect and the running reliability are significantly improved.

[0090] The above is only an embodiment of the present application and is not used to limit the protection scope of the present application. For those skilled in the art, the present application can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. An intelligent control method for energy-saving operation state of a water pump motor, characterized in that, The method comprises: acquiring pressure response data of the water pump during operation, the pressure response data being used to represent dynamic characteristics of water outlet pressure of the water pump in response to changes in water supply demand; determining at least one operation performance indicator according to the pressure response data, the operation performance indicator being used to quantify actual operation quality of a water pump control system; judging whether a current closed-loop regulation parameter of the water pump control system is mismatched with an actual hydraulic working condition of the water pump according to the at least one operation performance indicator and a preset ideal operation performance range; when it is judged that the closed-loop regulation parameter is mismatched, gradually adjusting the closed-loop regulation parameter according to a preset parameter adjustment rule, the parameter adjustment rule covering adjustment directions and adjustment amplitudes of the closed-loop regulation parameter corresponding to different operation performance indicators deviating from the ideal operation performance range.

2. The method of claim 1, wherein, The acquiring of the pressure response data of the water pump during operation comprises: collecting pressure analog signals at a preset frequency through a pressure sensor arranged at a water outlet of the water pump; converting the pressure analog signals into pressure digital signals to obtain pressure time series data, and taking the pressure time series data as the pressure response data of the water pump during operation.

3. The method of claim 2, wherein the method further comprises: The determining of the at least one operation performance indicator according to the pressure response data comprises: extracting a maximum deviation value of an actual pressure value relative to a target pressure set value within a preset time length from the pressure time series data, and taking the maximum deviation value as a pressure overshoot indicator; determining a time during which the actual pressure value first stabilizes within a first error range allowed by the target pressure set value, and taking the time as a pressure stabilization time indicator; calculating a dispersion degree of the pressure time series data within a preset time window after the actual pressure value is in a stable state within a preset time length, and taking the dispersion degree as a pressure fluctuation indicator; the stable state refers to that the actual pressure value is maintained within a preset first error range within a subsequent continuous second time threshold; taking at least one of the pressure overshoot indicator, the pressure stabilization time indicator and the pressure fluctuation indicator as the operation performance indicator.

4. The method of claim 3, wherein the method further comprises: The judging of whether the current closed-loop regulation parameter of the water pump control system is mismatched with the actual hydraulic working condition of the water pump according to the at least one operation performance indicator and the preset ideal operation performance range comprises: previously setting a first ideal threshold corresponding to the pressure overshoot indicator, a second ideal threshold corresponding to the pressure stabilization time indicator, and a third ideal threshold corresponding to the pressure fluctuation indicator; judging whether the pressure overshoot indicator is continuously greater than the first ideal threshold, or whether the pressure stabilization time indicator is continuously greater than the second ideal threshold, or whether the pressure fluctuation indicator is continuously greater than the third ideal threshold within continuous multiple monitoring periods. If any of the operation performance indicators exceeds the corresponding ideal threshold value in a plurality of continuous monitoring periods, it is determined that the current closed-loop adjustment parameter is mismatched with the actual hydraulic working condition, and the mismatch is caused by one or more implicit physical degradation factors such as changes in the properties of the conveying liquid, changes in the roughness of the inner wall of the pipeline, and measurement deviation of the sensor.

5. The method of intelligent control of the operating state of an energy-saving water pump motor according to claim 4, characterized in that, The closed-loop adjustment parameters include proportional coefficients, integral coefficients, and differential coefficients; when it is determined that there is a mismatch, the closed-loop adjustment parameters are gradually fine-tuned according to a preset parameter adjustment rule, including: When the pressure overshoot index exceeds the first ideal threshold value in a plurality of continuous monitoring periods, an operation of reducing the current proportional coefficient is performed, and the reduction amplitude is a first preset percentage of the current proportional coefficient; When the pressure stabilization time index exceeds the second ideal threshold value in a plurality of continuous monitoring periods, an operation of increasing the current integral coefficient is performed, and the increase amplitude is a second preset percentage of the current integral coefficient; When the pressure fluctuation index exceeds the third ideal threshold value in a plurality of continuous monitoring periods, an operation of adjusting the current differential coefficient is performed, and the adjustment direction and amplitude are determined according to the frequency and amplitude of pressure oscillation.

6. The method of intelligent control of the operating state of an energy-saving water pump motor according to claim 5, characterized in that, After the gradual fine-tuning of the closed-loop adjustment parameters, the method further includes: In a new round of monitoring period after the parameter fine-tuning, pressure response data is re-acquired, and corresponding operation performance indicators are determined; The operation performance indicators obtained after the parameter fine-tuning are compared with the operation performance indicators obtained before the parameter fine-tuning; If the operation performance indicators obtained after the parameter fine-tuning show an improvement trend towards the ideal operation performance range relative to the operation performance indicators obtained before the parameter fine-tuning, the fine-tuned closed-loop adjustment parameters are maintained; If the operation performance indicators obtained after the parameter fine-tuning are deteriorated relative to the operation performance indicators obtained before the parameter fine-tuning, the closed-loop adjustment parameters are rolled back to the state before the fine-tuning, and an adjustment strategy different from the current fine-tuning direction is performed.

7. The method of intelligent control of the operating state of an energy-saving water pump motor according to claim 6, characterized in that, The adjustment strategy different from the current fine-tuning direction includes: If the pressure stabilization time index is deteriorated due to the operation of increasing the current integral coefficient, after rolling back to the integral coefficient before the adjustment, the operation of reducing the current integral coefficient is performed, and the reduction amplitude is a third preset percentage of the current integral coefficient; If the pressure overshoot index is deteriorated due to the operation of reducing the current proportional coefficient, after rolling back to the proportional coefficient before the adjustment, the operation of increasing the current proportional coefficient is performed, and the increase amplitude is a fourth preset percentage of the current proportional coefficient.

8. The method of intelligent control of the operating state of an energy-saving water pump motor according to claim 3, characterized in that, The determination of the time during which the actual pressure value first stabilizes in the first error range allowed by the target pressure set value includes: After the target pressure set value changes, the actual pressure value is continuously monitored; When it is detected that the actual pressure value first enters the first error range, timing is started; If the actual pressure value remains in the first error range for a subsequent second time threshold value, it is determined that the stable state is reached, timing is stopped, and the accumulated time is taken as the pressure stabilization time index; If the actual pressure value exceeds the first error range during the timing process, the timing is reset and restarted.

9. The method of intelligent control of the operating state of an energy-saving water pump motor according to claim 1, characterized in that, The gradual fine-tuning of the closed-loop adjustment parameter comprises: setting a cooling time interval for the closed-loop adjustment parameter, the cooling time interval being used to define a minimum waiting time between two successive gradual fine-tuning operations; after the end of the cooling time interval and when the operation performance index continues to deviate from the ideal operation performance range, performing the next parameter fine-tuning operation.

10. An intelligent control system for energy saving operation of a water pump motor, characterized in that, comprise: an acquisition unit configured to acquire pressure response data of the water pump during operation, the pressure response data being used to represent dynamic characteristics of the water outlet pressure of the water pump in response to changes in water supply demand; a determination unit configured to determine at least one operation performance index according to the pressure response data, the operation performance index being used to quantify actual operation quality of the water pump control system; a judgment unit configured to judge whether the current closed-loop adjustment parameter of the water pump control system is mismatched with the actual hydraulic operating condition of the water pump according to the at least one operation performance index and a preset ideal operation performance range; an adjustment unit configured to, when judged as mismatched, gradually fine-tune the closed-loop adjustment parameter according to a preset parameter adjustment rule, the parameter adjustment rule covering adjustment directions and adjustment amplitudes of the closed-loop adjustment parameter corresponding to different operation performance index deviations from the ideal operation performance range.

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