Multi-objective energy-saving optimization control method and system for pump station with pump efficiency curve self-calibration

Abstract

The present application relates to the technical field of pump station energy saving optimization, and particularly relates to a pump station multi-objective energy saving optimization control method and system with pump efficiency curve self-calibration, comprising the following steps: arranging flow meters, pressure sensors and electric energy metering devices at key operating positions of a pump station, collecting flow, head and power operating data of a pump set in real time, calculating pump efficiency characteristic points based on the real-time collected flow, head and power data; comparing the characteristic points with a design rated pump efficiency curve, and if the deviation of the corresponding efficiency value exceeds a preset threshold, correcting the pump efficiency curve through a parameter fitting method to obtain a corrected pump efficiency curve reflecting the current working condition. In the present application, the flow, head and power operating data of the pump set are collected in real time, the pump efficiency characteristic points are calculated, and the design rated pump efficiency curve is compared, and the pump efficiency curve is dynamically corrected through a parameter fitting method to realize the consistency of the pump efficiency model and the actual working condition.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of pump station energy saving optimization, and particularly relates to a pump station multi-objective energy saving optimization control method and system with self-calibration of pump efficiency curve. BACKGROUND

[0002] As the core equipment of urban water supply, drainage and industrial circulating water system, a pump station is used to transport water from a low pressure area to a high pressure area or a long-distance pipe network. The pump station is usually composed of multiple pumps, including a main pump, a standby pump, a supporting control system, a motor and pipe network facilities. The operation efficiency of the pump station directly affects the energy consumption level, water supply pressure stability and service life of the pump equipment of the system.

[0003] In the traditional operation management of the pump station, the pump efficiency curve is usually derived from the design rated parameters of the equipment when it is delivered from the factory, and remains unchanged during the entire operation period. The pump station scheduling mainly relies on manual experience or simple start-stop control and speed regulation based on the static pump efficiency curve. Due to the influence of factors such as pump wear, pipe network resistance change and hydraulic load fluctuation in the actual operation environment, the actual efficiency of the pump often deviates from the design curve, resulting in that the pump station cannot achieve the optimal state in terms of energy consumption, water supply pressure and equipment life. SUMMARY

[0004] In order to make up for the above shortcomings, the present application provides a pump station multi-objective energy saving optimization control method and system with self-calibration of pump efficiency curve, aiming at improving the problem in the prior art that mainly relies on manual experience or simple start-stop control and speed regulation based on the static pump efficiency curve, resulting in that the pump station cannot achieve the optimal state in terms of energy consumption, water supply pressure and equipment life.

[0005] In order to achieve the above purpose, the present application adopts the following technical solutions:

[0006] In the first aspect, the present application provides a pump station multi-objective energy saving optimization control method with self-calibration of pump efficiency curve, comprising the following steps:

[0007] Flowmeters, pressure sensors and electric energy metering devices are arranged at key operation positions of the pump station, and flow, head and power operation data of the pump group are collected in real time. Pump efficiency characteristic points are calculated based on the real-time collected flow, head and power data;

[0008] The characteristic points are compared with the design rated pump efficiency curve. If the deviation of the corresponding pump efficiency characteristic points exceeds a preset threshold, the pump efficiency curve is corrected by a parameter fitting method to obtain a corrected pump efficiency curve reflecting the current working condition;

[0009] On the basis of the corrected pump efficiency curve, a multi-objective optimization model of the pump station operation is established, the optimization model taking at least the minimization of energy consumption, the stability of water supply pressure and the extension of equipment operation life as optimization objectives, and taking the user water demand, the pipe network pressure requirement and the pump set allowable working interval as constraint conditions;

[0010] Based on the multi-objective optimization model and the corrected pump efficiency curve, a multi-objective optimization algorithm is adopted to calculate the operation combination and speed scheduling of the pump set, so as to obtain an optimal operation scheme under the premise of meeting the water supply demand;

[0011] The optimal operation scheme is issued to the pump station control system, the control system adjusting the start-stop sequence and operation frequency of the pump set according to the operation scheme, so that the operation state of each pump set is kept in the high efficiency zone;

[0012] While the optimization control is being performed, the pump set operation data are continuously collected in real time, and the new operation data are used to calculate the pump efficiency characteristic point, which is compared with the design rated pump efficiency curve, so as to perform pump efficiency curve self-calibration again.

[0013] Preferably, the operation data collection process comprises:

[0014] A flowmeter is arranged in the inlet and outlet pipeline of the pump set, for real-time detection of the flow data passing through the pump set;

[0015] A pressure sensor is arranged in the inlet and outlet pipeline of the pump set, for real-time detection of the inlet and outlet pressure of the pump set, and the head of the pump is calculated in combination with the flow data;

[0016] An electric energy metering device is arranged in the motor circuit of the pump set, for real-time detection of the power consumption of the motor;

[0017] The flow data, pressure data and power data are respectively converted into standardized signals and transmitted to the pump station control system, to serve as input data for calculation of the pump efficiency characteristic point.

[0018] Preferably, the calculation process of the pump efficiency characteristic point comprises:

[0019] The flow data and head data are correspondingly combined, to form a flow-head operation point of the pump under the current working condition;

[0020] The power data and flow data are correspondingly combined, to calculate the energy consumption value under unit flow, and the energy consumption value is taken as an auxiliary evaluation parameter of the pump operation energy efficiency;

[0021] The efficiency value of the pump is calculated based on the flow, head and power data;

[0022] The efficiency value is corresponded to the flow-head operation point, to form a pump efficiency characteristic point capable of reflecting the performance of the pump under the current working condition.

[0023] Preferably, the obtaining process of the modified pump efficiency curve comprises:

[0024] obtaining an efficiency-flow rate data set formed by pump efficiency characteristic points;

[0025] comparing the efficiency-flow rate data set with the design rated pump efficiency curve in the same flow rate range, and identifying a section with an efficiency deviation exceeding a preset threshold;

[0026] for the section, modifying the design rated pump efficiency curve by using a parameter fitting method, the parameter fitting method comprising at least one of polynomial fitting, piecewise linear fitting or spline curve fitting;

[0027] generating a modified pump efficiency curve based on the modified parameter model, so that the modified pump efficiency curve can reflect the real performance of the pump under the current working condition.

[0028] Preferably, the obtaining process of the efficiency-flow rate data set comprises:

[0029] calculating the efficiency value at each running moment according to the pump efficiency calculation formula based on the real-time collected flow rate, head and power data;

[0030] one-to-one corresponding combination of the efficiency value and the flow rate value at the corresponding moment to form a plurality of efficiency-flow rate corresponding points;

[0031] time sequence arrangement and data validity verification of the plurality of efficiency-flow rate corresponding points to eliminate abnormal points and incomplete points;

[0032] the set of the arranged efficiency-flow rate corresponding points is taken as a pump efficiency characteristic point set, and the efficiency-flow rate data set is constructed therefrom for subsequent comparison and analysis with the design rated pump efficiency curve.

[0033] Preferably, the establishing process of the multi-objective optimization model comprises:

[0034] matching the modified pump efficiency curve with the real-time collected flow rate, head and power data to obtain efficiency evaluation indexes of the pump group at different running points;

[0035] based on the efficiency evaluation indexes, constructing an energy consumption calculation function to reflect the energy consumption level under different running combinations;

[0036] combining the pressure data obtained by real-time monitoring of the pipe network with the modified pump efficiency curve to establish a water supply pressure deviation function for measuring the stability of the water supply pressure;

[0037] combining the pump group start-stop times and running time data to establish a device life evaluation function for representing the device running life consumption;

[0038] On the basis of the energy consumption calculation function, the water supply pressure deviation function and the equipment life evaluation function, a multi-objective optimization model is formed with the optimization objectives of minimizing energy consumption, stabilizing water supply pressure and prolonging equipment life, and the user water demand, the pipe network pressure requirement and the pump set allowable working interval are set as constraint conditions to support the subsequent calculation of optimization scheduling.

[0039] Preferably, the calculation process of the operation combination and the rotating speed scheduling of the pump set comprises:

[0040] The modified pump efficiency curve is input into the multi-objective optimization model to obtain the efficiency, energy consumption and water supply pressure prediction values of each pump set under different rotating speeds and start-stop states;

[0041] Under the constraint conditions of the multi-objective optimization model, a multi-objective optimization algorithm is used to search for the pump set operation combination and the rotating speed scheme, and a feasible solution set satisfying the user water demand and the pipe network pressure requirement is obtained;

[0042] The feasible solution set is subjected to target weighting and merit ranking, and an optimal solution achieving a balance among the minimization of energy consumption, the stability of water supply pressure and the prolongation of equipment life is screened out;

[0043] The optimal solution is analyzed into a pump set start-stop sequence and a rotating speed scheduling scheme, which are used to generate an optimal operation scheme of the pump station.

[0044] Preferably, the adjustment process of the start-stop sequence and the operation frequency of the pump set comprises:

[0045] The pump set start-stop sequence and the rotating speed scheduling instruction in the optimal operation scheme are analyzed into an executable control instruction set;

[0046] The start-stop control instruction is issued to the corresponding pump set, and the pump sets are started and stopped one by one in the sequence to ensure the stability of the pipe network pressure during the switching process;

[0047] The rotating speed adjustment instruction is issued to the frequency converter or the motor control module, so that the operation frequency of each pump set is gradually adjusted to the target rotating speed set in the operation scheme;

[0048] During the adjustment process of the operation frequency of the pump set, the flow and pressure feedback are monitored in real time, and if a deviation from the optimal scheme is detected, the control instruction is dynamically corrected to ensure that the operation state of each pump set remains in the high-efficiency zone.

[0049] Preferably, the re-self-calibration process of the pump efficiency curve comprises:

[0050] During the process of executing the start-stop and rotating speed adjustment of the pump set according to the optimal operation scheme, the real-time flow, head and power data of the pump set are continuously collected;

[0051] calculating a new pump efficiency characteristic point based on the real-time data, and comparing the characteristic point with a design rated pump efficiency curve;

[0052] if the efficiency deviation between the pump efficiency characteristic point and the design rated pump efficiency curve exceeds a preset threshold, re-modifying the pump efficiency curve based on a parameter fitting method;

[0053] updating the modified pump efficiency curve to the multi-objective optimization model, so that subsequent optimization scheduling continues to be based on the real pump efficiency characteristic reflecting the current working condition.

[0054] In a second aspect, the present application provides a pump station multi-objective energy-saving optimization control system with self-calibration of pump efficiency curve, which comprises the following modules:

[0055] A data acquisition module is arranged with flow meters, pressure sensors and electric energy metering devices at key operating positions of the pump station, to acquire real-time flow, head and power operating data of the pump group, and calculate a pump efficiency characteristic point based on the real-time acquired flow, head and power data;

[0056] A pump efficiency curve calibration module compares the characteristic point with a design rated pump efficiency curve, and if the deviation of the corresponding pump efficiency characteristic point exceeds a preset threshold, modifies the pump efficiency curve by a parameter fitting method to obtain a modified pump efficiency curve reflecting the current working condition;

[0057] A multi-objective optimization modeling module establishes a multi-objective optimization model of the pump station operation based on the modified pump efficiency curve, with at least the minimization of energy consumption, the stability of water supply pressure and the extension of equipment operating life as optimization objectives, and the user water demand, the pipe network pressure requirement and the pump group allowable working interval as constraint conditions;

[0058] An optimization calculation module calculates the operating combination and speed scheduling of the pump group based on the multi-objective optimization model and the modified pump efficiency curve, to obtain an optimal operating scheme under the premise of meeting the water supply demand, by using a multi-objective optimization algorithm;

[0059] An execution control module issues the optimal operating scheme to the pump station control system, which adjusts the start-stop sequence and operating frequency of the pump group according to the operating scheme, so that the operating state of each pump group is maintained in the high efficiency zone;

[0060] A cyclic calibration module continues to acquire real-time operating data of the pump group while executing the optimization control, and uses the new operating data to calculate a pump efficiency characteristic point, which is compared with a design rated pump efficiency curve to perform self-calibration of the pump efficiency curve again.

[0061] The present application has the following beneficial effects:

[0062] 1. In this invention, the pump set's flow rate, head, and power operating data are collected in real time, and the pump efficiency characteristic points are calculated and compared with the designed rated pump efficiency curve. The pump efficiency curve is dynamically corrected using a parameter fitting method to achieve consistency between the pump efficiency model and the actual operating conditions. This method can overcome the efficiency deviation problem caused by the static nature of traditional pump efficiency curves, and make the pump set operation scheduling calculation based on the real efficiency characteristics, thereby significantly improving the energy utilization rate of the pump station, reducing energy waste, and ensuring the rationality of water supply pressure and equipment operating status.

[0063] 2. In this invention, a multi-objective optimization model for pumping stations is established based on the modified pump efficiency curve. The minimization of energy consumption, stability of water supply pressure, and extension of equipment service life are taken as comprehensive optimization objectives. This achieves multi-objective optimization of pump group operation combination and speed scheduling. It can balance energy consumption, pressure stability, and equipment life while meeting user water demand and pipeline pressure constraints, thereby improving pumping station operating efficiency, extending equipment service life, and reducing manual scheduling and management costs. This enables intelligent and scientific management of pumping station operation.

[0064] 3. In this invention, a closed-loop self-calibration mechanism is adopted. When the pump set executes the optimal operation plan, the operating data is continuously collected, new pump efficiency characteristic points are calculated, and the pump efficiency curve is corrected again to realize the dynamic update of the pump efficiency model. This cyclic calibration method can adapt to actual working conditions such as pump set wear, changes in pipeline resistance, and load fluctuations in real time, ensuring that the optimized control is always based on the real pump efficiency characteristics, thereby improving the accuracy and reliability of energy-saving control effect, avoiding the accumulation of errors caused by the static efficiency model, and forming the self-learning and self-adaptive capability of the pump station operation. Attached Figure Description

[0065] Figure 1 This is a schematic diagram of the method flow proposed in this invention;

[0066] Figure 2 This is a schematic diagram of the system architecture proposed in this invention. Detailed Implementation

[0067] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0068] Example 1:

[0069] In the first embodiment of the present invention, the present invention provides a multi-objective energy-saving optimization control method for pumping stations with self-calibrated pump efficiency curves, such as... Figure 1 As shown, it includes the following steps:

[0070] Flow meters, pressure sensors and electric energy metering devices are arranged at key operating positions of the pump station to collect flow, head and power operation data of the pump set in real time, and pump efficiency characteristic points are calculated based on the real-time collected flow, head and power data.

[0071] Further, the collection process of the operation data includes:

[0072] Flow meters are arranged at the inlet and outlet pipelines of the pump set to detect flow data through the pump set in real time;

[0073] Pressure sensors are arranged at the inlet and outlet pipelines of the pump set to detect inlet and outlet pressures of the pump set in real time, and the head of the pump is calculated in combination with the flow data;

[0074] Electric energy metering devices are arranged at the motor circuit of the pump set to detect power consumption of the motor in real time;

[0075] The flow data, pressure data and power data are respectively converted into standardized signals and transmitted to the pump station control system as input data for calculating the pump efficiency characteristic points.

[0076] Further, the calculation process of the pump efficiency characteristic points includes:

[0077] The flow data and head data are correspondingly combined to form a flow-head operating point of the pump under the current working condition;

[0078] The power data and flow data are correspondingly combined to calculate energy consumption value under unit flow, and the energy consumption value is taken as an auxiliary evaluation parameter of the energy efficiency of the pump operation;

[0079] The efficiency value of the pump is calculated based on the flow, head and power data;

[0080] The efficiency value is corresponded to the flow-head operating point to form a pump efficiency characteristic point capable of reflecting the performance of the pump under the current working condition.

[0081] Specifically, flow meters such as electromagnetic flow meters or turbine flow meters are arranged at the inlet and outlet pipelines of the pump set to detect flow Q(t) through the pump set in real time, with the unit being cubic meters per second (m³ / s), and pressure sensors are arranged at the inlet and outlet of the pump set to obtain pump inlet pressure and outlet pressure , with the unit of pressure being pascal (Pa), and the actual head of the pump is calculated according to the flow data, and the formula is:

[0082] ;

[0083] wherein, is the density of water (kg / m³), ​g, is the gravity acceleration (9.81 m / s2), H, is the pump instantaneous head (m);

[0084] The electric energy metering device is arranged in the motor loop of the pump set, and the pump motor input power P(t) is collected in real time, in units of watts (W). The flow rate Q(t), the head H(t), and the power P(t) data are subjected to analog-digital conversion and signal standardization processing, and are uniformly transmitted to the pump station control system, to be used as input data for pump efficiency characteristic point calculation;

[0085] The real-time collected flow rate data Q(t) and the calculated head H(t) are combined to obtain a set of operating points of the pump under the current working condition , wherein P(t) and the flow rate Q(t) are combined, and the energy consumption per unit flow rate is calculated , and the formula is:

[0086] ;

[0087] , wherein is the energy consumption per unit flow rate, in units of W / (m3 / s), is the motor input power, in units of W, is the pump instantaneous flow rate, in units of m3 / s, which can be used as an auxiliary evaluation parameter of pump operation energy efficiency, for subsequent analysis of pump energy consumption level;

[0088] The pump instantaneous efficiency is calculated based on the hydraulic power and the motor input power , and the formula is:

[0089] ;

[0090] , wherein is the pump instantaneous efficiency, is the water density (kg / m3), is the gravity acceleration (9.81 m / s2), is the pump instantaneous flow rate (m3 / s), is the pump instantaneous head (m), is the pump input power (W);

[0091] The efficiency value is matched with the corresponding flow rate-head operating point to form a set of pump efficiency characteristic points , which can be used for subsequent self-calibration of pump efficiency curves and establishment of multi-objective optimization models;

[0092] In the process of calculating the pump efficiency characteristic point, the effectiveness of the collected data is checked, which includes eliminating sampling points with zero flow or abnormal power mutation, time series smoothing of continuous data to reduce the influence of instantaneous fluctuations on the pump efficiency characteristic point, forming a pump efficiency characteristic point database from effective data to provide reliable support for pump efficiency curve correction and optimized scheduling;

[0093] Through the above steps, flow meters, pressure sensors and electric energy metering devices are arranged at key operating positions of the pump station, real-time acquisition of pump group flow, head and power data is realized, and pump efficiency characteristic points are calculated based on these data, which can accurately reflect the performance of the pump under actual working conditions. At the same time, combined with the unit flow energy consumption value as an auxiliary evaluation, the quantitative analysis of pump operation energy efficiency is realized, which provides reliable data support for pump efficiency curve self-calibration, multi-objective optimized scheduling and high-efficiency energy-saving control, so as to improve the operation efficiency, water supply stability and equipment service life of the pump station.

[0094] The characteristic point is compared with the design rated pump efficiency curve, and if the deviation of the corresponding pump efficiency characteristic point exceeds the preset threshold, the pump efficiency curve is corrected by a parameter fitting method to obtain a corrected pump efficiency curve reflecting the current working condition.

[0095] Further, the acquisition process of the corrected pump efficiency curve includes:

[0096] An efficiency-flow data set formed by the pump efficiency characteristic points is obtained;

[0097] The efficiency-flow data set is compared with the design rated pump efficiency curve in the same flow interval, and a section with an efficiency deviation exceeding a preset threshold is identified;

[0098] For the section, a parameter fitting method is used to correct the design rated pump efficiency curve, and the parameter fitting method includes at least one of polynomial fitting, piecewise linear fitting or spline curve fitting;

[0099] A corrected pump efficiency curve is generated based on the corrected parameter model, so that the corrected pump efficiency curve can reflect the real performance of the pump under the current working condition.

[0100] Further, the acquisition process of the efficiency-flow data set includes:

[0101] Based on the real-time collected flow, head and power data, the efficiency values at each operating time are calculated according to the pump efficiency calculation formula;

[0102] The efficiency values are one-to-one corresponding combined with the flow values at the corresponding time to form a plurality of efficiency-flow corresponding points;

[0103] The plurality of efficiency-flow corresponding points are time series arranged and data effectiveness verified to eliminate abnormal points and incomplete points;

[0104] The sorted efficiency-flow rate corresponding point set is used as the pump efficiency characteristic point set to construct the efficiency-flow rate dataset, which is then used for subsequent comparative analysis with the design rated pump efficiency curve.

[0105] Specifically, based on the set of pump efficiency characteristic points calculated above... The efficiency values ​​of the pump at each flow point Compared with the design rated pump efficiency curve The efficiency values ​​at corresponding positions are compared, and the deviation value is calculated using the following formula: :

[0106] ;

[0107] in, This indicates the pump's first [operational condition] under real-time operating conditions. Efficiency value of each flow point This indicates the design rated pump efficiency curve at the same flow rate. The efficiency value below, For pump efficiency deviation, if | If the flow rate exceeds the preset threshold ε, it indicates that there is a significant deviation between the designed pump efficiency curve and the actual pump efficiency in this flow range, and the pump efficiency curve needs to be corrected.

[0108] Arrange the pump efficiency characteristic points calculated in the above steps according to flow rate order to form an efficiency-flow rate dataset: ,in, For the first The flow rate at each sampling time. For the corresponding efficiency value, This represents the total number of valid sampling points. During the dataset generation process, outliers were removed, such as sampling points with zero or abrupt changes in flow or power, and isolated points with efficiency deviations exceeding statistical thresholds. The resulting dataset... As the basis for correcting the pump efficiency curve;

[0109] Efficiency-Traffic Dataset Compared with the design rated pump efficiency curve Compare and mark the deviation within the same flow range. The segment where |> ε is used as the target interval for correction, such as the flow interval. Memory in | If there are continuous sampling points for |>ε, then the pump efficiency curve in that interval needs to be corrected by fitting methods;

[0110] For the deviation section, a parameter fitting method is used to correct the design rated pump efficiency curve, specifically by fitting a polynomial curve in the deviation section:

[0111] ;

[0112] wherein, , …, is a fitting parameter, is a polynomial order, is a flow rate;

[0113] a corrected pump efficiency curve is generated after fitting which can closely track the actual efficiency characteristics of the pump in the deviation section, rather than relying only on the design rated curve, and the fitting deviation section efficiency curve is spliced with the original design pump efficiency curve of the non-deviation section to form a complete corrected pump efficiency curve:

[0114] ;

[0115] The corrected pump efficiency curve can accurately reflect the real performance of the pump under the current working condition, and provide reliable basis for subsequent multi-objective optimization scheduling and pump efficiency self-calibration;

[0116] Through the above steps, the pump efficiency characteristic points calculated in real time can be compared with the design rated pump efficiency curve, and the polynomial, piecewise linear or spline curve parameter fitting method is used for correction for the flow rate section whose deviation exceeds the preset threshold, so that the corrected pump efficiency curve reflecting the real performance of the pump under the current working condition is generated, thereby improving the accuracy of the pump efficiency model, providing reliable data support for subsequent multi-objective optimization scheduling, energy consumption minimization and efficient operation of the pump station, and realizing dynamic self-calibration of pump efficiency.

[0117] On the basis of the corrected pump efficiency curve, a multi-objective optimization model of the pump station operation is established, and the optimization model takes at least the targets of energy consumption minimization, water supply pressure stability and equipment operation life extension as optimization targets, and takes the user water demand, pipe network pressure requirement and pump set allowable working interval as constraint conditions.

[0118] Further, the establishment process of the multi-objective optimization model includes:

[0119] The corrected pump efficiency curve is matched with the real-time collected flow rate, head and power data to obtain efficiency evaluation indexes of the pump set under different operating points;

[0120] Based on the efficiency evaluation indexes, an energy consumption calculation function is constructed to reflect the energy consumption level under different operating combinations;

[0121] The pressure data obtained by real-time monitoring of the pipe network are combined with the corrected pump efficiency curve to establish a water supply pressure deviation function for measuring the stability of the water supply pressure;

[0122] The equipment life evaluation function is established by combining the pump set start-stop times and running time data to represent the equipment running life consumption;

[0123] On the basis of the above energy consumption calculation function, water supply pressure deviation function and equipment life evaluation function, a multi-objective optimization model is formed with the optimization objectives of minimizing energy consumption, stabilizing water supply pressure and prolonging equipment life, and the user water demand, pipe network pressure requirement and pump set allowable working interval are set as constraint conditions to support the subsequent optimization scheduling calculation.

[0124] Specifically, the efficiency curve of the pump is corrected in the above steps and the real-time collected pump group flow Q(t), head H(t) and power P(t) data are used to evaluate the efficiency of the pump at different operating points and calculate the efficiency index of each operating point The calculation formula is consistent with the above-mentioned pump instantaneous efficiency formula, so it is not described in detail here. Through calculation, the efficiency evaluation index of the pump at different flow rates and heads is obtained, which provides basic data for energy consumption calculation and optimization scheduling;

[0125] Based on the efficiency evaluation index , an energy consumption calculation function of the pump station under different operating combinations is established;

[0126] ;

[0127] Wherein, is the number of pump sets, is the power consumption of the th pump at time , and is the efficiency of the corresponding pump, is the sampling time interval. This function can quantify the total energy consumption level under different pump combination and speed scheduling schemes, and provide energy consumption evaluation basis for multi-objective optimization;

[0128] Combined with the real-time monitoring pressure data of the pipe network and the water supply pressure prediction value calculated by the corrected pump efficiency curve of the pump , the water supply pressure deviation function is defined as

[0129] ;

[0130] It is used to measure the stability of water supply pressure. The smaller the deviation, the better the pump station scheduling meets the pipe network pressure requirement;

[0131] Combined with the number of pump set start-stop times and the cumulative running time , the equipment life evaluation function is established as

[0132] ;

[0133] Wherein, and is a weight coefficient, used to represent the influence of the start-stop times and the running time length on the equipment life consumption, the function is used to quantify the degree of life consumption of the pump group running, and provides a reference for multi-objective optimization;

[0134] the above energy consumption function , the pressure deviation function and the equipment life evaluation function , a multi-objective optimization model is established:

[0135] ;

[0136] The constraint conditions are set, specifically, the satisfaction of the user water demand , that is, the total pump flow , the pipe network pressure requirement , the allowable working interval of each pump and the speed range ;

[0137] Through the model, the optimization calculation of the pump station running combination and speed scheduling can be realized under the premise of guaranteeing the water supply demand, the pressure stability and the equipment safety;

[0138] Through the above steps, the multi-objective optimization model can be established on the basis of the corrected pump efficiency curve, which can simultaneously consider the energy consumption, the water supply pressure stability and the equipment life in the pump station running, and realize the overall optimization of the pump station running under the premise of meeting the user water demand and the pipe network pressure requirement.

[0139] Based on the multi-objective optimization model and the corrected pump efficiency curve, a multi-objective optimization algorithm is used to calculate the running combination and speed scheduling of the pump group, so as to obtain the optimal running scheme under the premise of meeting the water supply demand.

[0140] Further, the calculation process of the running combination and speed scheduling of the pump group includes:

[0141] The corrected pump efficiency curve is input into the multi-objective optimization model to obtain the efficiency, energy consumption and water supply pressure prediction value of each pump group under different speeds and start-stop states;

[0142] Under the constraint conditions of the multi-objective optimization model, a multi-objective optimization algorithm is used to search the pump group running combination and speed scheme, and a feasible solution set meeting the user water demand and the pipe network pressure requirement is obtained;

[0143] The feasible solution set is subjected to target weighting and advantage-disadvantage sorting, and the optimal solution balanced among the minimization of energy consumption, the stability of water supply pressure and the prolongation of equipment life is screened out;

[0144] The optimal solution is analyzed as a pump group start-stop sequence and a rotating speed scheduling scheme, which is used to generate an optimal operation scheme of the pump station.

[0145] Specifically, the obtained modified pump efficiency curve is input into a multi-objective optimization model, and combined with real-time collected flow , program H and power P data, to obtain the efficiency , energy consumption E and water supply pressure prediction values of each pump group at different rotating speeds n and start-stop states , wherein the energy consumption of a single pump at an operating point can be expressed as:

[0146] ;

[0147] wherein, is the energy consumption of the i-th pump, is the flow of the i-th pump, is the rotating speed of the i-th pump, is the power of the pump at the corresponding operation, is the efficiency of the pump at the corresponding operating point, is the operating time length;

[0148] Search is performed under constraint conditions, wherein the constraint conditions specifically include user water demand constraints:

[0149] ;

[0150] wherein, is the total user water demand;

[0151] Pipe network pressure constraints: , wherein is the minimum pressure allowed by the pipe network;

[0152] Pump group working interval constraints: ;

[0153] By using a multi-objective optimization algorithm such as a genetic algorithm, a non-dominated sorting genetic algorithm or a multi-objective particle swarm optimization, the pump group start-stop combination and the rotating speed scheme are searched to obtain a series of feasible solution sets satisfying the above constraint conditions;

[0154] For the obtained feasible solution sets, their energy consumption levels, water supply pressure deviations and equipment life consumption indexes are calculated. Then, the Pareto optimal solution set is used for trade-off, and the feasible solutions are sorted, and the objective function can be expressed as:

[0155] ;

[0156] wherein, is the total energy consumption of the pump station, represents the water supply pressure deviation, Indicates the device life consumption, evaluated by the number of start-stop and the running time;

[0157] The optimal solution that balances the minimization of energy consumption, the stability of water supply pressure and the prolongation of device life is screened out by the multi-objective optimization algorithm, and is analyzed into specific operation instructions, including the start-stop sequence of the pump set and the rotating speed scheduling value of each pump, which is finally used to guide the real-time scheduling execution of the pump station, so as to realize the efficient, stable and long-life operation of the water supply system;

[0158] Through the above steps, the corrected pump efficiency curve and the multi-objective optimization model can be introduced, and the multi-objective optimization algorithm can be used to calculate the operation combination and rotating speed scheduling of the pump set, so as to realize the balance between the minimization of energy consumption, the stability of water supply pressure and the prolongation of device life on the premise of meeting the user's water demand and the pipe network pressure requirement, thereby generating an optimal operation scheme that meets the actual working condition, and effectively improving the overall efficiency and reliability of the pump station operation.

[0159] The optimal operation scheme is issued to the pump station control system, and the control system adjusts the start-stop sequence and operation frequency of the pump set according to the operation scheme, so that the operation state of each pump set remains in the high efficiency area.

[0160] Further, the adjustment process of the start-stop sequence and operation frequency of the pump set includes:

[0161] The start-stop sequence and rotating speed scheduling instructions in the optimal operation scheme are analyzed into executable control instruction sets;

[0162] The start-stop control instructions are issued to the corresponding pump set, and the pump sets are started and stopped one by one in sequence to ensure the smoothness of the pipe network pressure during the switching process;

[0163] The rotating speed adjustment instructions are issued to the frequency converter or motor control module, so that the operation frequency of each pump set is gradually adjusted to the target rotating speed set in the operation scheme;

[0164] During the adjustment process of the operation frequency of the pump set, the flow and pressure feedback are monitored in real time, and if it is detected that the optimal scheme is deviated, the control instructions are dynamically corrected to ensure that the operation state of each pump set remains in the high efficiency area.

[0165] Specifically, the optimal operation scheme includes the start-stop sequence and rotating speed scheduling results of the pump set, and the pump station control system first analyzes the operation scheme into standardized executable control instruction sets, including start-stop control instructions and rotating speed adjustment instructions, wherein the start-stop control instructions are used to define the start-stop time and sequence of each pump set, and the rotating speed adjustment instructions are used to set the target rotating speed value of each pump set. The control system will consider the results of the pump efficiency characteristic point and the corrected pump efficiency curve during the analysis process to ensure that the generated control instructions can make the operating point of the pump set fall in the high efficiency area as much as possible;

[0166] The control system sequentially issues start and stop instructions to each pump group, executes the start pump or stop pump operation according to the start and stop sequence set in the operation scheme, to avoid the pressure of the pipe network from fluctuating greatly due to simultaneous start and stop of multiple pumps, when executing the start pump operation, the system gradually increases the motor speed until the pump group flow and head reach the set target operating point, when executing the stop pump operation, the system first reduces the operating frequency of the target pump group, and then issues the stop instruction, to avoid the sudden drop of the water supply pressure;

[0167] After the pump group start and stop are completed stably, the control system issues a speed adjustment instruction to the frequency converter or motor control module of each pump group, the speed adjustment adopts a step-by-step adjustment method instead of directly jumping to the target value, and the target speed is set to , and the current speed is

[0168] ;

[0169] wherein, is the step value of a single adjustment, which is controlled within a preset range to avoid pressure fluctuation, and when approaches , the step value is automatically reduced to make the speed adjustment process more stable, and through the above method, each pump group can gradually reach the target speed point set in the optimal operation scheme;

[0170] During the speed adjustment process, the pump station control system continuously and real-timely collects flow, head and power data, and compares them with the corrected pump efficiency curve, if the actual operating point deviates from the target point of the optimal operation scheme, the dynamic correction mechanism is triggered, which includes, if the flow or pressure deviates from the target interval, the operating point is corrected by fine-tuning the speed instruction, if the efficiency value is lower than the high-efficiency zone corresponding to the corrected pump efficiency curve, the start and stop state or speed distribution of the adjacent pump group is adjusted preferentially, and the control logic of the dynamic correction can be expressed as:

[0171] ;

[0172] wherein, represents the corrected control quantity, represents the target parameter value of the optimal operation scheme, represents the current parameter value obtained by real-time monitoring, is a proportional gain coefficient for controlling the correction strength, through the feedback mechanism, it is ensured that each pump group always operates in the high-efficiency zone, while maintaining the stability of the water supply pressure;

[0173] Through the above steps, the optimal operation scheme can be converted into specific start-stop and speed control instructions, which are issued to the pump station control system to realize the orderly switching of pump set start-stop and the smooth adjustment of operating frequency, thereby avoiding the pressure fluctuation of the pipe network caused by sudden start-stop or frequency jump. At the same time, the running state is dynamically corrected in combination with real-time flow and pressure feedback to ensure that the pump set operating point is always in the high efficiency interval, thereby reducing energy consumption and prolonging the service life of the equipment under the premise of ensuring stable water supply pressure.

[0174] While performing the optimization control, the pump set operation data are continuously collected in real time, and the new operation data are used to calculate the pump efficiency characteristic point, which is compared with the design rated pump efficiency curve to perform pump efficiency curve self-calibration again.

[0175] Further, the pump efficiency curve self-calibration process again includes:

[0176] In the process of executing start-stop and speed regulation of the pump set according to the optimal operation scheme, the real-time flow, head and power data of the pump set are continuously collected;

[0177] Based on the real-time data, a new pump efficiency characteristic point is calculated, and the characteristic point is compared with the design rated pump efficiency curve;

[0178] If the efficiency deviation between the pump efficiency characteristic point and the design rated pump efficiency curve exceeds the preset threshold, the pump efficiency curve is corrected again based on the parameter fitting method;

[0179] The corrected pump efficiency curve is updated to the multi-objective optimization model, so that the subsequent optimization scheduling continues to be based on the real pump efficiency characteristics reflecting the current working condition.

[0180] Specifically, in the process of executing start-stop and speed regulation of the pump set according to the optimal operation scheme, the flow meter, pressure sensor and electric energy metering device collect the flow, inlet and outlet pressure and power consumption of the pump set, and transmit the operation data to the pump station control system. The control system calculates the head of the pump set under the current working condition based on the real-time collected flow and pressure data, further calculates the energy consumption level per unit flow in combination with the power consumption data, and derives the real-time efficiency value of the pump set. By corresponding the efficiency value with the flow data, a new pump efficiency characteristic point is generated to reflect the performance of the pump under the current operating condition;

[0181] The pump efficiency characteristic point is compared with the design rated pump efficiency curve point by point. If the efficiency deviation exceeds the preset threshold, the pump efficiency curve correction process is triggered. When correcting, first, the newly generated characteristic point set forms an efficiency-flow data set, which is compared with the design rated curve in the same flow interval to identify the section with excessive deviation.

[0182] For the identified deviation section, the control system corrects the design rated curve using a parameter fitting method, which can be any one of polynomial fitting, piecewise linear fitting or spline curve fitting, to ensure that the corrected curve can be smooth and accurately fitted to the real-time characteristic points. The final corrected pump efficiency curve is updated to the control system to replace the original design curve, ensuring that the optimization scheduling is always based on the true efficiency characteristics that meet the current working conditions.

[0183] Through the above steps, the real-time self-calibration mechanism of the pump efficiency curve can be introduced in the optimization control execution process, which can ensure that the pump efficiency characteristics always remain consistent with the actual operating conditions, avoiding the problems of increased energy consumption and inaccurate scheduling caused by pump efficiency curve deviation, thereby realizing the continuous efficiency of the pump set operation and the stability and reliability of the water supply system.

[0184] Embodiment two:

[0185] In traditional pump station operation management, the pump efficiency curve is usually derived from the design rated parameters of the equipment at the time of factory shipment and remains unchanged throughout the entire operation period. Pump station scheduling mainly relies on manual experience or simple start-stop control and speed regulation based on static pump efficiency curves. Due to the influence of factors such as pump wear, pipe network resistance changes, hydraulic load fluctuations, etc., the actual efficiency of the pump often deviates from the design curve, resulting in suboptimal conditions in terms of energy consumption, water supply pressure and equipment life of the pump station. To solve the above problems, the pump station multi-objective energy-saving optimization control system with pump efficiency curve self-calibration provided by the present application is adopted, and its structure is as shown in Figure 2 The specific implementation process of the system is as follows:

[0186] The data acquisition module is arranged with flow meters, pressure sensors and electric energy metering devices at key operating positions of the pump station to real-time collect flow, head and power operation data of the pump set, and calculate pump efficiency characteristic points based on the real-time collected flow, head and power data.

[0187] The pump efficiency curve calibration module compares the characteristic points with the design rated pump efficiency curve. If the deviation of the corresponding efficiency value exceeds the preset threshold, the pump efficiency curve is corrected by a parameter fitting method to obtain a corrected pump efficiency curve reflecting the current working conditions.

[0188] The multi-objective optimization modeling module establishes a multi-objective optimization model for pump station operation based on the corrected pump efficiency curve. The optimization model takes at least the minimum energy consumption, water supply pressure stability and equipment operation life extension as optimization objectives, and takes user water demand, pipe network pressure requirement and pump set allowable working range as constraint conditions.

[0189] An optimization calculation module calculates the operation combination and rotation speed scheduling of the pump set based on the multi-objective optimization model and the corrected pump efficiency curve, to obtain an optimal operation scheme under the premise of meeting the water supply demand;

[0190] An execution control module issues the optimal operation scheme to a pump station control system, and the control system adjusts the start-stop sequence and operation frequency of the pump set according to the operation scheme, so that the operation state of each pump set is kept in the high-efficiency region;

[0191] A cycle calibration module continues to collect real-time operation data of the pump set while executing the optimal control, and uses the new operation data to calculate pump efficiency characteristic points, and compares the pump efficiency characteristic points with the design rated pump efficiency curve, to perform pump efficiency curve self-calibration again.

[0192] Specifically, the data acquisition module acquires the flow, head and power data in the operation process of the pump station in real time, and calculates the pump efficiency characteristic points. The pump efficiency curve calibration module compares the characteristic points with the design rated pump efficiency curve. If the deviation exceeds a preset threshold, the pump efficiency curve is corrected to ensure that the curve can reflect the actual working condition. On this basis, the multi-objective optimization modeling module establishes a multi-objective optimization model with the minimization of energy consumption, the stability of water supply pressure and the prolongation of equipment life as the optimization objectives, and models in combination with user demand and operation constraint conditions. The optimization calculation module performs optimization calculation using the corrected pump efficiency curve, to obtain an optimal pump set start-stop and rotation speed scheduling scheme. The execution control module issues and executes the optimal operation scheme, to ensure the high-efficiency operation of the pump set. Meanwhile, the cycle calibration module continues to collect real-time operation data in the process of executing the optimal control, and dynamically updates the pump efficiency curve, so that the optimization model is consistent with the actual working condition, thereby realizing the closed-loop optimization and continuous high-efficiency control of the operation of the pump station.

[0193] Finally, it should be noted that: the above only describes the preferred embodiments of the present application, and is not used to limit the present application, although the present application has been described in detail with reference to the foregoing embodiments, for those skilled in the art, the technical solutions recorded in the foregoing embodiments can be modified, or some technical features can be replaced, any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application, should be included in the protection scope of the present application.

Claims

1. A multi-objective energy saving optimization control method for pump station with pump efficiency curve self-calibration, characterized in that, The method comprises the following steps: flow meters, pressure sensors and electric energy metering devices are arranged at key operating positions of the pump station to collect flow, head and power operating data of the pump set in real time, and pump efficiency characteristic points are calculated based on the real-time collected flow, head and power data; the characteristic points are compared with the design rated pump efficiency curve, if the deviation of the corresponding pump efficiency characteristic points exceeds a preset threshold, the pump efficiency curve is corrected by a parameter fitting method to obtain a corrected pump efficiency curve reflecting the current working condition; on the basis of the corrected pump efficiency curve, a multi-objective optimization model of the pump station operation is established, the optimization model takes at least the minimization of energy consumption, the stability of water supply pressure and the prolongation of equipment operating life as optimization objectives, and takes the user water demand, the pipe network pressure requirement and the pump set allowable working interval as constraint conditions; based on the multi-objective optimization model and the corrected pump efficiency curve, a multi-objective optimization algorithm is used to calculate the operating combination and speed scheduling of the pump set to obtain an optimal operating scheme under the premise of meeting the water supply demand; the optimal operating scheme is sent to the pump station control system, and the control system adjusts the start-stop sequence and operating frequency of the pump set according to the operating scheme, so that the operating state of each pump set is kept in the high-efficiency zone; while the optimization control is performed, the pump set operating data are continuously collected in real time, and the new operating data are used to calculate pump efficiency characteristic points, which are compared with the design rated pump efficiency curve to perform pump efficiency curve self-calibration again.

2. The pump curve self-calibration based multi-objective energy saving optimization control method of pump station according to claim 1, characterized in that, The collection process of the operating data comprises: flow meters are arranged at the inlet and outlet pipelines of the pump set to detect flow data passing through the pump set in real time; pressure sensors are arranged at the inlet and outlet pipelines of the pump set to detect the inlet and outlet pressures of the pump set in real time, and the head of the pump is calculated in combination with the flow data; electric energy metering devices are arranged at the motor circuit of the pump set to detect the power consumption of the motor in real time; the flow data, pressure data and power data are converted into standardized signals and transmitted to the pump station control system to serve as input data for calculating pump efficiency characteristic points.

3. The pump curve self-calibrating, multi-objective energy-saving optimization control method of pump stations according to claim 1, characterized in that, The calculation process of the pump efficiency characteristic points comprises: the flow data and head data are combined to form a flow-head operating point of the pump under the current working condition; the power data and flow data are combined to calculate the energy consumption value under unit flow, and the energy consumption value is taken as an auxiliary evaluation parameter of the energy efficiency of the pump; the efficiency value of the pump is calculated based on the flow, head and power data; the efficiency value is combined with the flow-head operating point to form a pump efficiency characteristic point reflecting the performance of the pump under the current working condition.

4. The pump curve self-calibrating pump station multi-objective energy saving optimization control method according to claim 1, characterized in that, The acquisition process of the corrected pump efficiency curve comprises: an efficiency-flow data set formed by the pump efficiency characteristic points is obtained; the efficiency-flow data set and the design rated pump efficiency curve are compared in the same flow interval to identify a section with an efficiency deviation exceeding a preset threshold; for the section, the design rated pump efficiency curve is corrected by a parameter fitting method, the parameter fitting method comprising at least one of polynomial fitting, piecewise linear fitting or spline curve fitting; a corrected pump efficiency curve is generated based on the corrected parameter model, so that the corrected pump efficiency curve can reflect the real performance of the pump under the current working condition.

5. The pump curve self-calibrating pump station multi-objective energy saving optimization control method according to claim 4, characterized in that, The efficiency-flow data set acquisition process comprises: Based on the real-time collected flow, head and power data, the efficiency value at each running time is calculated according to the pump efficiency calculation formula; The efficiency value and the flow value at the corresponding time are one-to-one corresponding combination to form a plurality of efficiency-flow corresponding points; The time sequence of the plurality of efficiency-flow corresponding points is arranged and the data validity is checked to eliminate abnormal points and incomplete points; The efficiency-flow corresponding point set after arrangement is used as the pump efficiency characteristic point set to construct the efficiency-flow data set for subsequent comparison and analysis with the design rated pump efficiency curve.

6. The pump curve self-calibrating pump station multi-objective energy saving optimization control method according to claim 1, characterized in that, The multi-objective optimization model establishment process comprises: The modified pump efficiency curve is matched with the real-time collected flow, head and power data to obtain the efficiency evaluation index of the pump set at different running points; Based on the efficiency evaluation index, an energy consumption calculation function is constructed to reflect the energy consumption level under different running combinations; The pressure data obtained by real-time monitoring of the pipe network is combined with the modified pump efficiency curve to establish a water supply pressure deviation function for measuring the stability of the water supply pressure; Combined with the pump start-stop frequency and running time data, an equipment life evaluation function is established to represent the equipment running life consumption; On the basis of the above energy consumption calculation function, water supply pressure deviation function and equipment life evaluation function, a multi-objective optimization model is formed with the minimization of energy consumption, the stability of water supply pressure and the prolongation of equipment life as the optimization objectives, and the user water demand, pipe network pressure requirement and pump set allowable working interval are set as constraint conditions to support the subsequent calculation of optimization scheduling.

7. The pump curve self-calibrating pump station multi-objective energy saving optimization control method according to claim 1, characterized in that, The calculation process of the running combination and speed scheduling of the pump set comprises: The modified pump efficiency curve is input into the multi-objective optimization model to obtain the efficiency, energy consumption and water supply pressure prediction values of each pump set at different speeds and start-stop states; Under the constraint conditions of the multi-objective optimization model, a multi-objective optimization algorithm is used to search for the pump set running combination and speed scheme to obtain a feasible solution set that meets the user water demand and pipe network pressure requirement; The feasible solution set is target-weighted and optimally sorted to screen the optimal solution that balances the minimization of energy consumption, the stability of water supply pressure and the prolongation of equipment life; The optimal solution is analyzed into a pump set start-stop sequence and speed scheduling scheme to generate the optimal running scheme of the pump station.

8. The pump curve self-calibrating pump station multi-objective energy saving optimization control method according to claim 1, characterized in that, The regulation process of the start-stop sequence and running frequency of the pump set comprises: The pump set start-stop sequence and speed scheduling instruction in the optimal running scheme are analyzed into executable control instruction set; The start-stop control instruction is issued to the corresponding pump set to start and stop the pump set one by one in the sequence to ensure the smoothness of the pipe network pressure during the switching process; The speed regulation instruction is issued to the frequency converter or motor control module to gradually adjust the running frequency of each pump set to the target speed set in the running scheme; During the adjustment process of the pump set running frequency, the flow and pressure feedback are monitored in real time, and if the deviation from the optimal scheme is detected, the control instruction is dynamically corrected to ensure that the running state of each pump set remains in the high efficiency zone.

9. The pump curve self-calibrating pump station multi-objective energy saving optimization control method according to claim 1, characterized in that, The pump efficiency curve re-self-calibration process comprises: In the process of starting and stopping and speed regulation of the pump set according to the optimal operation scheme, the real-time flow, head and power data of the pump set are continuously collected; Based on the real-time data, a new pump efficiency characteristic point is calculated, and the characteristic point is compared with the design rated pump efficiency curve; If the efficiency deviation between the pump efficiency characteristic point and the design rated pump efficiency curve exceeds the preset threshold, the pump efficiency curve is corrected again based on the parameter fitting method; The corrected pump efficiency curve is updated to the multi-objective optimization model, so that the subsequent optimization scheduling continues to be based on the real pump efficiency characteristics reflecting the current working condition.

10. A multi-objective energy saving optimization control system for pump stations with pump efficiency curve self-calibration, characterized in that, The pump station multi-objective energy-saving optimization control method for the pump efficiency curve self-calibration of any one of claims 1-9, the system comprises the following modules: A data acquisition module, flow meters, pressure sensors and electric energy metering devices are arranged at key operating positions of the pump station, and the flow, head and power operation data of the pump set are collected in real time, and the pump efficiency characteristic point is calculated based on the real-time collected flow, head and power data; A pump efficiency curve calibration module compares the characteristic point with the design rated pump efficiency curve, and if the deviation of the corresponding pump efficiency characteristic point exceeds the preset threshold, the pump efficiency curve is corrected by a parameter fitting method to obtain a corrected pump efficiency curve reflecting the current working condition; A multi-objective optimization modeling module, on the basis of the corrected pump efficiency curve, establishes a multi-objective optimization model for the operation of the pump station, the optimization model takes at least the minimization of energy consumption, the stability of water supply pressure and the extension of equipment operation life as the optimization target, and takes the user water demand, the pipe network pressure requirement and the pump set allowed working interval as the constraint condition; An optimization calculation module, based on the multi-objective optimization model and the corrected pump efficiency curve, uses a multi-objective optimization algorithm to calculate the operation combination and speed scheduling of the pump set to obtain an optimal operation scheme under the premise of meeting the water supply demand; An execution control module, the optimal operation scheme is sent to the pump station control system, the control system adjusts the starting and stopping sequence and the operation frequency of the pump set according to the operation scheme, so that the running state of each pump set is kept in the high efficiency area; A cycle calibration module, while executing the optimization control, the pump set operation data are continuously collected in real time, and the new operation data are used to calculate the pump efficiency characteristic point, which is compared with the design rated pump efficiency curve to perform pump efficiency curve self-calibration again.

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