A control method, equipment, medium, and program product for a water pump set.

CN120739684BActive Publication Date: 2026-08-14PERSAGY TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-07-16
Publication Date
2026-08-14

AI Technical Summary

Technical Problem

但是,现有技术可能因为效率盲区问题,或者预设的固定运行规则无法匹配动态变化的工况,导致水泵组运行在低效工况,从而增加能耗和运行成本

Benefits of technology

[0021]本发明实施例的技术方案,获取水泵组内各水泵的运行状态,并在确定各水泵的运行状态满足预设稳定状态条件时,获取水泵组对应的压力参数值;获取水泵特性曲线模型,并通过水泵特性曲线模型,根据压力参数值以及各水泵的运行状态,计算得到单泵效率理论值;如果单泵效率理论值满足预设低效工况条件,则获取多个候选泵组控制方案,并通过水泵特性曲线模型,获取各候选泵组控制方案对应的单泵效率理论值;根据各候选泵组控制方案对应的单泵效率理论值,在各候选泵组控制方案中确定目标泵组控制方案,并基于目标泵组控制方案实现对水泵组的控制;通过在确定单泵效率理论值满足预设低效工况条件时,生成候选泵组控制方案,并基于水泵特性曲线模型,在候选泵组控制方案中筛选得到目标泵组控制方案,可以实现对水泵组的高效与准确控制,可以保证水泵组运行在高效工况,可以降低能耗和运营成本。

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Abstract

This invention relates to the field of automation control technology, and discloses a control method, equipment, medium, and program product for a water pump set. The method includes: acquiring the operating status of each water pump, and acquiring pressure parameter values ​​when the operating status meets preset stable state conditions; calculating the theoretical value of single-pump efficiency based on the pressure parameter values ​​and the operating status of each water pump using a water pump characteristic curve model; if the theoretical value of single-pump efficiency meets preset inefficient operating conditions, acquiring candidate pump set control schemes, and acquiring the corresponding theoretical value of single-pump efficiency using the water pump characteristic curve model; determining the target pump set control scheme based on the theoretical value of single-pump efficiency corresponding to each candidate pump set control scheme, and implementing control of the water pump set based on the target pump set control scheme. The solution in this embodiment can achieve efficient and accurate control of the water pump set, ensure that the water pump set operates under efficient conditions, and reduce energy consumption and operating costs.
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Description

Technical Field

[0001] This invention relates to the field of automation control technology, and in particular to a control method, equipment, medium, and program product for a water pump set. Background Technology

[0002] Pump sets are an important component of buildings, factories, and enterprises. Achieving efficient and accurate control of pump sets is of great significance for reducing energy consumption and operating costs.

[0003] Currently, existing control methods for water pump sets typically use proportional-integral-derivative (PID) feedback control of a frequency converter to set the pump's operating frequency during operation, and then adjust the pump speed by adding or removing pumps when the frequency reaches upper or lower limits or thresholds. However, existing technologies may suffer from efficiency blind spots, or the preset fixed operating rules may not be compatible with dynamically changing operating conditions, leading to inefficient operation of the water pump set, thereby increasing energy consumption and operating costs. Summary of the Invention

[0004] This invention provides a control method, equipment, medium, and program product for a water pump set, which can achieve efficient and accurate control of the water pump set, ensure that the water pump set operates in a high-efficiency condition, and reduce energy consumption and operating costs.

[0005] According to one aspect of the present invention, a method for controlling a water pump unit is provided, comprising:

[0006] The operating status of each pump in the pump group is obtained, and when it is determined that the operating status of each pump meets the preset stable state conditions, the pressure parameter value corresponding to the pump group is obtained.

[0007] A pump characteristic curve model is obtained, and the theoretical value of single pump efficiency is calculated based on the pressure parameter value and the operating status of each pump using the pump characteristic curve model.

[0008] If the theoretical value of the single pump efficiency meets the preset inefficient operating conditions, then multiple candidate pump group control schemes are obtained, and the theoretical value of the single pump efficiency corresponding to each candidate pump group control scheme is obtained through the pump characteristic curve model.

[0009] Based on the theoretical single-pump efficiency value corresponding to each candidate pump group control scheme, a target pump group control scheme is determined among the candidate pump group control schemes, and the pump group is controlled based on the target pump group control scheme.

[0010] According to another aspect of the present invention, a control device for a water pump assembly is provided, comprising:

[0011] The pressure parameter value acquisition module is used to acquire the operating status of each pump in the pump group, and when it is determined that the operating status of each pump meets the preset stable state conditions, acquire the pressure parameter value corresponding to the pump group.

[0012] The single-pump efficiency theoretical value calculation module is used to obtain the pump characteristic curve model, and calculate the single-pump efficiency theoretical value based on the pressure parameter value and the operating status of each pump through the pump characteristic curve model.

[0013] The candidate pump group control scheme acquisition module is used to acquire multiple candidate pump group control schemes if the theoretical value of the single pump efficiency meets the preset inefficient operating conditions, and to acquire the theoretical value of the single pump efficiency corresponding to each candidate pump group control scheme through the pump characteristic curve model.

[0014] The target pump group control scheme determination module is used to determine the target pump group control scheme from among the candidate pump group control schemes based on the theoretical value of the single pump efficiency corresponding to each candidate pump group control scheme, and to implement the control of the pump group based on the target pump group control scheme.

[0015] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0016] At least one processor; and

[0017] A memory communicatively connected to the at least one processor; wherein,

[0018] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the control method for the water pump group according to any embodiment of the present invention.

[0019] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing a computer program, the computer program being configured to cause a processor to execute and implement the control method of the water pump group according to any embodiment of the present invention.

[0020] According to another aspect of the present invention, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the control method for a water pump group as described in any embodiment of the present invention.

[0021] The technical solution of this invention involves acquiring the operating status of each pump in a pump group, and when the operating status of each pump meets a preset stable state condition, acquiring the pressure parameter value corresponding to the pump group; acquiring a pump characteristic curve model, and calculating the theoretical value of single-pump efficiency based on the pressure parameter value and the operating status of each pump using the pump characteristic curve model; if the theoretical value of single-pump efficiency meets a preset inefficient operating condition, acquiring multiple candidate pump group control schemes, and acquiring the theoretical value of single-pump efficiency corresponding to each candidate pump group control scheme using the pump characteristic curve model; determining the target pump group control scheme from among the candidate pump group control schemes based on the theoretical value of single-pump efficiency, and controlling the pump group based on the target pump group control scheme; by generating candidate pump group control schemes when the theoretical value of single-pump efficiency meets the preset inefficient operating condition, and selecting the target pump group control scheme from among the candidate pump group control schemes based on the pump characteristic curve model, efficient and accurate control of the pump group can be achieved, ensuring that the pump group operates in an efficient operating condition, and reducing energy consumption and operating costs.

[0022] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a flowchart of a water pump set control method according to Embodiment 1 of the present invention;

[0025] Figure 2 This is a flowchart of a water pump set control method according to Embodiment 2 of the present invention;

[0026] Figure 3 This is a schematic diagram of the initial head-flow-frequency function provided in Embodiment 2 of the present invention;

[0027] Figure 4 This is a schematic diagram of the initial efficiency flow-frequency function provided in Embodiment 2 of the present invention;

[0028] Figure 5 This is a schematic diagram of the structure of a control device for a water pump set according to Embodiment 3 of the present invention;

[0029] Figure 6 This is a schematic diagram of the structure of an electronic device that implements the control method for the water pump group according to an embodiment of the present invention. Detailed Implementation

[0030] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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 should fall within the scope of protection of the present invention.

[0031] It should be noted that the terms "first," "second," "target," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0032] Example 1

[0033] Figure 1 This is a flowchart illustrating a control method for a water pump group according to Embodiment 1 of the present invention. This embodiment is applicable to situations requiring automatic control of a water pump group. The method can be executed by a control device for the water pump group, which can be implemented in hardware and / or software. Typically, the control device can be configured in an electronic device, such as a computer or server. Figure 1 As shown, the method includes:

[0034] S110. Obtain the operating status of each pump in the pump group, and when it is determined that the operating status of each pump meets the preset stable state conditions, obtain the pressure parameter value corresponding to the pump group.

[0035] The water pump set can consist of multiple water pumps, and the connection method of the water pumps is not specifically limited in this embodiment. In this embodiment, the operating status of the water pump set and each water pump can be detected in real time through pre-deployed sensors. The operating status can include whether it is running, the operating frequency, etc.

[0036] The preset stable state conditions can be pre-defined conditions used to determine whether the water pumps are operating in a relatively stable state. For example, these could include no change in the number of operating water pumps within a set time period, or no change in the operating frequency of each operating pump. Specifically, when it is determined that the operating state of each water pump meets the preset stable state conditions, the pressure parameter values ​​corresponding to the pump group can be detected by pre-deployed pressure sensors. These pressure parameter values ​​can include outlet pressure values, inlet pressure values, etc.

[0037] Optionally, determining that the operating state of each water pump meets a preset stable state condition may include:

[0038] Based on the operating status of each water pump, obtain the change value of the number of water pumps operating in the water pump group within a preset time period, and the change value of the corresponding operating frequency of each water pump.

[0039] Determine whether the change in the number of operating water pumps is not equal to zero, or whether there is a target water pump whose corresponding operating frequency change is greater than a preset threshold. If not, determine that the operating state of each water pump meets the preset stable state condition.

[0040] In an optional example, every 0.5 hours, based on the operating status of each pump, the change in the number of operating pumps and the change in the operating frequency of each pump can be statistically analyzed over a preset time period (e.g., 15 minutes). Then, if the change in number is not equal to 0, or if the change in the operating frequency of any pump exceeds a preset threshold (e.g., 15 Hz), indicating a change in the number of operating pumps or a significant change in pump operating frequency, the process is considered to be in a state of flux and terminated. Conversely, if neither condition is met—that is, the change in number is 0, and the change in the operating frequency of each pump is less than or equal to the preset threshold—then the pump operating status is determined to meet the preset stable state conditions.

[0041] The advantage of the above settings is that they enable accurate judgment of whether the pump set is in a stable state, thus avoiding the waste of computing resources.

[0042] S120. Obtain the pump characteristic curve model, and calculate the theoretical value of single pump efficiency based on the pressure parameter value and the operating status of each pump using the pump characteristic curve model.

[0043] The pump characteristic curve model can include a target head-flow-frequency function freq-QH and a target efficiency-flow-frequency function freq-Q-Rate. freq-QH is the correlation function between head, flow rate, and frequency, and freq-Q-Rate is the correlation function between efficiency, flow rate, and frequency. In this embodiment, the pump characteristic curve model can be provided by the pump manufacturer or obtained by correcting an initial pump characteristic curve model based on historical pump set data.

[0044] For example, freq-QH can be expressed as: H = H_nom × (1.5 × f_rate) 2 +0.5×Q_rate 2 )×η, where f_rate=f_actual / f_nom, Q_rate=Q_pump / Q_peak_f, Q_peak_f=Q_nom×f_rate; H_nom represents the rated head of the pump, Q_nom represents the rated flow rate of the pump, f_nom represents the rated frequency of the pump, f_actual represents the actual frequency of the pump, and Q_pump represents the flow rate per pump. freq-Q-Rate can be expressed as Where sigma_f = a × Q_nom × [1 - abs(1 - f_rate)], eta_f = 1 - abs(1 - f_rate) × b. Rate_nom represents the rated operating efficiency of the pump, and a, b, c, and η represent correction parameters. In this embodiment, the theoretical value of the single pump efficiency can be calculated by combining freq-QH and freq-Q-Rate based on the pressure parameter values ​​and the operating status of each pump.

[0045] Optionally, the theoretical value of single-pump efficiency can be calculated using the pump characteristic curve model, based on the pressure parameter values ​​and the operating status of each pump. This calculation may include:

[0046] Based on the pressure parameter values, the inlet pressure value and the outlet pressure value are obtained, and the actual head value is calculated based on the inlet pressure value and the outlet pressure value.

[0047] Based on the operating status of each pump, the actual frequency value is obtained, and based on the target head-flow-frequency function, the actual head value, and the actual frequency value, the single pump flow rate value is calculated.

[0048] The theoretical value of single-pump efficiency is calculated based on the target efficiency flow-frequency function, the single-pump flow rate value, and the actual frequency value.

[0049] In an optional example, firstly, the actual head value H_a can be calculated based on the formula H_a = (P_out - P_in) × 9.81, using the inlet pressure value P_in and the outlet pressure value P_out. Then, based on the actual frequency value of each pump, the number of operating pumps nump can be counted, and the average frequency value of the operating pumps can be calculated using the actual frequency value and the number nump, as the final actual pump frequency value f_actual. For example, the operating pumps can be pumps with an actual frequency value greater than 15 Hz. Further, the freq-QH transformation function can be used to calculate the single pump flow rate value Q_pump based on the pump actual frequency value f_actual and the actual head value H_a. Finally, the freq-Q-Rate function can be used. The theoretical efficiency value Rate_p of a single pump is calculated based on the single pump flow rate Q_pump and the actual frequency value f_actual.

[0050] The advantage of the above settings is that they enable efficient and accurate acquisition of the theoretical value of single pump efficiency.

[0051] S130. If the theoretical value of the single pump efficiency meets the preset inefficient operating conditions, then multiple candidate pump group control schemes are obtained, and the theoretical value of the single pump efficiency corresponding to each candidate pump group control scheme is obtained through the pump characteristic curve model.

[0052] Among them, the preset inefficient operating conditions can be preset conditions for determining that the water pump is in an inefficient operating condition. For example, it can be that the theoretical value of the single pump efficiency is less than or equal to a preset threshold.

[0053] In a specific example, if Rate_p ≤ 0.85 × Rate_nom, it is determined that the theoretical value of the single-pump efficiency meets the preset inefficient operating condition. At this point, multiple candidate pump group control schemes can be constructed based on the number of pumps in the pump group. A candidate pump group control scheme can be defined by the number of pumps activated. Then, by combining freq-QH and freq-Q-Rate, and considering the number of pumps activated for each candidate pump group control scheme, as well as the current operating status of each pump, the theoretical value of the single-pump efficiency for each candidate pump group control scheme can be calculated.

[0054] Optionally, obtaining the theoretical single-pump efficiency value corresponding to each candidate pump group control scheme through the pump characteristic curve model may include:

[0055] Based on the operating status of each pump, the number of operating pumps is obtained, and based on the number of operating pumps and the flow rate of a single pump, the flow rate of the pump group is obtained.

[0056] Based on the current candidate pump group control scheme, obtain the number of currently operating water pumps, and based on the pump group flow rate value and the number of currently operating water pumps, obtain the current single pump flow rate value;

[0057] Based on the target head-flow-frequency function, the current single-pump flow rate value, and the actual head value, obtain the current actual frequency value;

[0058] Based on the target efficiency flow-frequency function, the current actual frequency value, and the current single-pump flow value, the theoretical value of the single-pump efficiency corresponding to the current candidate pump group control scheme is calculated.

[0059] In one optional example, firstly, based on the current operating status of each pump, the number of pumps with actual frequency values ​​greater than a preset frequency threshold is determined, which is taken as the number of operating pumps, *na*. Then, considering the flow loss of parallel pumps, the pump group flow rate *Q_total* is calculated based on the formula *Q_total = (na × 0.92 + 0.08) × *Q_pump*, using the number of operating pumps *na* and the single pump flow rate *Q_pump*. Next, the number of currently operating pumps *n* corresponding to the current candidate pump group control scheme is determined, and based on the formula *Q_pump_n = Q_total / (n × 0.92 + 0.08)*, the current single pump flow rate *Q_pump_n* is calculated using *Q_total* and *n*.

[0060] Furthermore, based on the freq-QH transformation function, the current actual frequency value f can be calculated according to the current single-pump flow rate value Q_pump_n and the actual head value H_a. The transformation function can be expressed as follows: Finally, the theoretical value of the current single pump efficiency, Rate_n, can be calculated based on the freq-Q-Rate function, according to the current actual frequency value f and the current single pump flow rate value Q_pump_n.

[0061] The advantage of the above settings is that they enable quantitative evaluation of candidate pump group control schemes and efficient and accurate acquisition of theoretical values ​​of single pump efficiency.

[0062] S140. Based on the theoretical single-pump efficiency value corresponding to each candidate pump group control scheme, determine the target pump group control scheme from among the candidate pump group control schemes, and implement the control of the pump group based on the target pump group control scheme.

[0063] In this embodiment, the final target pump group control scheme can be determined from all candidate pump group control schemes based on the theoretical single-pump efficiency value corresponding to each candidate pump group control scheme and a preset scheme selection rule. For example, the scheme selection rule could be to select the candidate scheme with the largest theoretical single-pump efficiency value, or to select the candidate scheme whose corresponding theoretical single-pump efficiency value is greater than a preset threshold and has the smallest difference between it and the preset threshold. Then, the number of pumps to be activated and the pump frequency value corresponding to the target pump group control scheme can be sent to the pump control device so that it can control the pump group according to the number of pumps to be activated and the pump frequency value.

[0064] Optionally, the effective duration of the target pump group control scheme can be determined based on the calculated interval and the preset duration. For example, if the calculated interval is 0.5 hours and the preset duration is 15 minutes, then the effective duration is 0.5 × 60 - 15 = 15 minutes.

[0065] Optionally, determining the target pump group control scheme from among the candidate pump group control schemes based on the theoretical single-pump efficiency values ​​corresponding to each candidate pump group control scheme may include:

[0066] Based on the theoretical single-pump efficiency values ​​corresponding to each candidate pump group control scheme, the maximum theoretical single-pump efficiency value is obtained, and the candidate pump group control scheme corresponding to the maximum theoretical single-pump efficiency value is determined as the target pump group control scheme.

[0067] In one optional implementation, all theoretical values ​​of single pump efficiency can be numerically compared to obtain the theoretical value of maximum single pump efficiency, and the candidate pump group control scheme corresponding to the theoretical value of maximum single pump efficiency can be directly determined as the final target pump group control scheme.

[0068] The advantage of the above settings is that they ensure the pump set operates at maximum efficiency and always operates under high-efficiency conditions.

[0069] The technical solution of this invention involves acquiring the operating status of each pump in a pump group, and when the operating status of each pump meets a preset stable state condition, acquiring the pressure parameter value corresponding to the pump group; acquiring a pump characteristic curve model, and calculating the theoretical value of single-pump efficiency based on the pressure parameter value and the operating status of each pump using the pump characteristic curve model; if the theoretical value of single-pump efficiency meets a preset inefficient operating condition, acquiring multiple candidate pump group control schemes, and acquiring the theoretical value of single-pump efficiency corresponding to each candidate pump group control scheme using the pump characteristic curve model; determining the target pump group control scheme from among the candidate pump group control schemes based on the theoretical value of single-pump efficiency, and controlling the pump group based on the target pump group control scheme; by generating candidate pump group control schemes when the theoretical value of single-pump efficiency meets the preset inefficient operating condition, and selecting the target pump group control scheme from among the candidate pump group control schemes based on the pump characteristic curve model, efficient and accurate control of the pump group can be achieved, ensuring that the pump group operates in an efficient operating condition, and reducing energy consumption and operating costs.

[0070] Example 2

[0071] Figure 2 This is a flowchart illustrating a control method for a water pump unit according to Embodiment 2 of the present invention. This embodiment is a further refinement of the above technical solution, and the technical solution in this embodiment can be combined with one or more of the above implementation methods. For example... Figure 2 As shown, the method includes:

[0072] S210. Obtain the operating status of each pump in the pump group, and when it is determined that the operating status of each pump meets the preset stable state conditions, obtain the pressure parameter value corresponding to the pump group.

[0073] S220. Obtain the initial head-flow-frequency function and the initial efficiency-flow-frequency function.

[0074] In an alternative implementation, if the pump characteristic curve model from the pump manufacturer cannot be directly obtained, an initial head-flow-frequency function and an initial efficiency-flow-frequency function can be generated based on the corresponding curve characteristics, and then historical pump group data can be used to optimize them to obtain the final pump characteristic curve model.

[0075] The initial head-flow-frequency function curve characteristics are as follows: (1) When the frequency reaches the rated frequency, the flow rate also reaches the rated flow rate at the rated head, satisfying the definition of the rated operating condition of the pump; (2) When the frequency is fixed, the flow rate and head are negatively correlated, satisfying the characteristics of the pump head-flow curve; (3) The frequency and flow rate are positively correlated, satisfying the similarity theorem; (4) The square of the frequency is positively correlated with the head, satisfying the similarity theorem; (5) The pump efficiency is maximum under rated operating conditions. Therefore, the initial head-flow-frequency function can be expressed as H=H_nom×(1.5×f_rate) 2 +0.5×Q_rate 2 Let η be the initial value of 1, and its range be (0.5, 2). For example, the graph of the initial head-flow-frequency function can be shown as follows: Figure 3 As shown, the horizontal axis represents flow rate, with units of cubic meters per hour (m³ / h). 3 / h), the vertical axis is the head, and the unit is meters (m).

[0076] Secondly, the curve characteristics of the initial efficiency-flow-frequency function are as follows: (1) A Gaussian function is used to simulate the characteristics of the pump reaching its ideal flow rate and highest efficiency at the corresponding frequency, with attenuation on both sides; (2) The efficiency is highest at the rated frequency and rated flow rate; (3) At each frequency, the flow rate for optimal efficiency is corrected, and the flow bandwidth is corrected; (4) As the frequency decreases, the optimal efficiency decreases. Therefore, the initial efficiency-flow-frequency function can be expressed as follows: sigma_f = a × Q_nom × [1 - abs(1 - f_rate)], eta_f = 1 - abs(1 - f_rate) × b. Where b is initially 0.25, with a range of (0, 0.5); a is initially 0.5, with a range of (0, 1); and c is initially 1, with a range of (0.5, 2). For example, the graph of the initial efficiency-flow-frequency function can be shown as follows: Figure 4 As shown.

[0077] S230. Obtain the rated parameter values ​​of the water pump and historical pump group data, and based on the rated parameter values ​​of the water pump and the historical pump group data, perform offline correction on the initial head-flow frequency function and the initial efficiency-flow frequency function to obtain the target head-flow frequency function and the target efficiency-flow frequency function.

[0078] The rated parameters of the water pump may include the rated head H_nom, rated flow rate Q_nom, rated power rated P, rated frequency f_nom, and rated efficiency Rate_nom. The rated efficiency Rate_nom can be calculated based on the formula Rate_nom = Q_nom × H_nom × 9.81 / 3600 / ratedP. Historical pump data may include the pump inlet pressure, outlet pressure, pump frequency, and pump energy consumption.

[0079] Specifically, based on the pump's rated parameters and historical pump data, within the corresponding range, the values ​​of each correction parameter in the initial head-flow frequency function and the initial efficiency-flow frequency function can be adjusted to make the actual single-pump efficiency as close as possible to or equal to the theoretical single-pump efficiency, thus obtaining the most ideal parameter values. Finally, the adjusted initial head-flow frequency function can be determined as the target head-flow frequency function, and the adjusted initial efficiency-flow frequency function can be determined as the target efficiency-flow frequency function.

[0080] Optionally, based on the rated parameters of the water pump and the historical pump group data, offline correction is performed on the initial head-flow frequency function and the initial efficiency-flow frequency function to obtain the target head-flow frequency function and the target efficiency-flow frequency function. This may include:

[0081] Based on the initial head-flow-frequency function and the initial efficiency-flow-frequency function, the value range corresponding to each correction parameter is obtained, and the constraint conditions are obtained based on the value range corresponding to each correction parameter.

[0082] Based on the initial head-flow-frequency function, a function representing the actual value of single pump efficiency is obtained, and based on the function representing the actual value of single pump efficiency and the initial efficiency-flow-frequency function, an objective function is generated. The optimization objective of the objective function is to minimize the difference between the actual value of single pump efficiency and the theoretical value of single pump efficiency.

[0083] The objective function is solved based on the rated parameter values ​​of the water pump, the historical pump group data, and the constraints to obtain the target parameter values ​​corresponding to each of the correction parameters.

[0084] Based on the initial head-flow-frequency function, the initial efficiency-flow-frequency function, and the target parameter values ​​corresponding to each of the correction parameters, the target head-flow-frequency function and the target efficiency-flow-frequency function are obtained.

[0085] In an optional example, when performing offline calibration of the characteristic curve model, firstly, the range of values ​​corresponding to the calibration parameters is used as a constraint. Then, based on freq-QH, the single-pump flow rate Q_pump representation function is obtained. Next, based on the Q_pump representation function, the actual single-pump efficiency representation function Rate_a = Q_pump × H_a × 9.81 / 3600 / W_pump is obtained, where W_pump represents the single-pump power. Further, based on the actual single-pump efficiency representation function and the initial efficiency-flow frequency function, an objective function that minimizes the difference between the actual single-pump efficiency and the theoretical single-pump efficiency can be established; for example, it can be expressed as min(Rate_a - Rate_p).

[0086] Furthermore, a preset optimization algorithm can be used to adjust the values ​​of each correction parameter within the constraints. Based on the rated parameters of the pump and historical pump group data, the difference between the actual and theoretical values ​​of the single-pump efficiency corresponding to each set of values ​​is calculated until the target parameter values ​​that meet the optimization objective are obtained. For example, parameters can be adjusted within the range of η, a, b, and c, and the accuracy of Rate_p in predicting Rate_a can be evaluated using R². When R² is at its maximum, the values ​​of η, a, b, and c are retained as target parameter values. Finally, the initial values ​​of each correction parameter in the initial head-flow-frequency function and the initial efficiency-flow-frequency function can be replaced with the corresponding target parameter values ​​to obtain the final target head-flow-frequency function and target efficiency-flow-frequency function.

[0087] Optionally, when calculating the difference between the actual and theoretical values ​​of single-pump efficiency for each group of pumps based on the rated parameters and historical pump group data, if the pressure parameter value fails to be obtained, H_a = H_nom is set. Secondly, the number of pumps with a frequency greater than 15 Hz can be obtained as the number of operating pumps nump, and data with nump > 0 can be filtered. After that, the average frequency of the operating pumps can be calculated as the actual frequency value f_actual of the pumps. Moreover, historical pump group data with Rate_a between (0.3, Rate_nom) can be filtered for subsequent optimization calculations.

[0088] S240. Obtain the pump characteristic curve model based on the target head-flow-frequency function and the target efficiency-flow-frequency function.

[0089] Specifically, the target head-flow-frequency function and the target efficiency-flow-frequency function can be combined to obtain the final pump characteristic curve model.

[0090] S250. Using the pump characteristic curve model, the theoretical value of single pump efficiency is calculated based on the pressure parameter value and the operating status of each pump.

[0091] S260. If the theoretical value of the single pump efficiency meets the preset inefficient operating conditions, then multiple candidate pump group control schemes are obtained, and the theoretical value of the single pump efficiency corresponding to each candidate pump group control scheme is obtained through the pump characteristic curve model.

[0092] S270. Based on the theoretical single-pump efficiency value corresponding to each candidate pump group control scheme, determine the target pump group control scheme from among the candidate pump group control schemes, and implement the control of the pump group based on the target pump group control scheme.

[0093] In this embodiment, the corresponding operating conditions are confirmed by reading the inlet pressure, outlet pressure, number of pumps, and frequency of the pump set, enabling dynamic optimization for projects operating under variable loads. Moreover, the flow data used in the calculation process are intermediate values, reducing reliance on flow measurement equipment and operating data, and significantly lowering investment costs. Finally, it is compatible with traditional PID control, requiring minimal system modifications for retrofit projects.

[0094] The technical solution of this invention obtains the initial head-flow frequency function and the initial efficiency-flow frequency function; obtains the rated parameters of the pump and historical pump group data, and performs offline correction on the initial head-flow frequency function and the initial efficiency-flow frequency function based on the rated parameters of the pump and the historical pump group data to obtain the target head-flow frequency function and the target efficiency-flow frequency function; and obtains the pump characteristic curve model based on the target head-flow frequency function and the target efficiency-flow frequency function. By adopting dynamic modeling and using historical pump group data to correct the characteristic curve parameters, the dependence on the accuracy of the delivered data can be reduced, the characteristic curve deviation caused by actual problems such as equipment aging, wear, and replacement can be overcome, and the accuracy of the pump characteristic curve model can be improved.

[0095] Example 3

[0096] Figure 5 This is a schematic diagram of the structure of a control device for a water pump set provided in Embodiment 3 of the present invention. Figure 5 As shown, the device includes: a pressure parameter value acquisition module 310, a single pump efficiency theoretical value calculation module 320, a candidate pump group control scheme acquisition module 330, and a target pump group control scheme determination module 340; wherein,

[0097] The pressure parameter value acquisition module 310 is used to acquire the operating status of each pump in the pump group, and when it is determined that the operating status of each pump meets the preset stable state conditions, acquire the pressure parameter value corresponding to the pump group.

[0098] The single-pump efficiency theoretical value calculation module 320 is used to obtain the pump characteristic curve model and calculate the single-pump efficiency theoretical value based on the pressure parameter value and the operating status of each pump through the pump characteristic curve model.

[0099] The candidate pump group control scheme acquisition module 330 is used to acquire multiple candidate pump group control schemes if the theoretical value of the single pump efficiency meets the preset inefficient operating conditions, and to acquire the theoretical value of the single pump efficiency corresponding to each candidate pump group control scheme through the water pump characteristic curve model.

[0100] The target pump group control scheme determination module 340 is used to determine the target pump group control scheme from among the candidate pump group control schemes based on the theoretical value of the single pump efficiency corresponding to each candidate pump group control scheme, and to implement the control of the pump group based on the target pump group control scheme.

[0101] The technical solution of this invention involves acquiring the operating status of each pump in a pump group, and when the operating status of each pump meets a preset stable state condition, acquiring the pressure parameter value corresponding to the pump group; acquiring a pump characteristic curve model, and calculating the theoretical value of single-pump efficiency based on the pressure parameter value and the operating status of each pump using the pump characteristic curve model; if the theoretical value of single-pump efficiency meets a preset inefficient operating condition, acquiring multiple candidate pump group control schemes, and acquiring the theoretical value of single-pump efficiency corresponding to each candidate pump group control scheme using the pump characteristic curve model; determining the target pump group control scheme from among the candidate pump group control schemes based on the theoretical value of single-pump efficiency, and controlling the pump group based on the target pump group control scheme; by generating candidate pump group control schemes when the theoretical value of single-pump efficiency meets the preset inefficient operating condition, and selecting the target pump group control scheme from among the candidate pump group control schemes based on the pump characteristic curve model, efficient and accurate control of the pump group can be achieved, ensuring that the pump group operates in an efficient operating condition, and reducing energy consumption and operating costs.

[0102] Optional, the single-pump efficiency theoretical value calculation module 320 includes:

[0103] The initial function acquisition unit is used to acquire the initial head-flow frequency function and the initial efficiency-flow frequency function;

[0104] The function correction unit is used to acquire the rated parameter values ​​of the water pump and historical pump group data, and based on the rated parameter values ​​of the water pump and the historical pump group data, to perform offline correction on the initial head-flow frequency function and the initial efficiency-flow frequency function to obtain the target head-flow frequency function and the target efficiency-flow frequency function.

[0105] The model acquisition unit is used to acquire the pump characteristic curve model based on the target head-flow-frequency function and the target efficiency-flow-frequency function.

[0106] Optionally, the function correction unit is specifically used to obtain the value range of each correction parameter according to the initial head-flow frequency function and the initial efficiency-flow frequency function, and to obtain the constraint conditions according to the value range of each correction parameter.

[0107] Based on the initial head-flow-frequency function, a function representing the actual value of single pump efficiency is obtained, and based on the function representing the actual value of single pump efficiency and the initial efficiency-flow-frequency function, an objective function is generated. The optimization objective of the objective function is to minimize the difference between the actual value of single pump efficiency and the theoretical value of single pump efficiency.

[0108] The objective function is solved based on the rated parameter values ​​of the water pump, the historical pump group data, and the constraints to obtain the target parameter values ​​corresponding to each of the correction parameters.

[0109] Based on the initial head-flow-frequency function, the initial efficiency-flow-frequency function, and the target parameter values ​​corresponding to each of the correction parameters, the target head-flow-frequency function and the target efficiency-flow-frequency function are obtained.

[0110] Optionally, the pressure parameter value acquisition module 310 is specifically used to acquire the change value of the number of pumps running in the pump group within a preset time period, and the change value of the corresponding operating frequency of each pump, based on the operating status of each pump.

[0111] Determine whether the change in the number of operating water pumps is not equal to zero, or whether there is a target water pump whose corresponding operating frequency change is greater than a preset threshold. If not, determine that the operating state of each water pump meets the preset stable state condition.

[0112] Optionally, the single pump efficiency theoretical value calculation module 320 is specifically used to obtain the inlet pressure value and the outlet pressure value based on the pressure parameter value, and to calculate the actual head value based on the inlet pressure value and the outlet pressure value.

[0113] Based on the operating status of each pump, the actual frequency value is obtained, and based on the target head-flow-frequency function, the actual head value, and the actual frequency value, the single pump flow rate value is calculated.

[0114] The theoretical value of single-pump efficiency is calculated based on the target efficiency flow-frequency function, the single-pump flow rate value, and the actual frequency value.

[0115] Optionally, the candidate pump group control scheme acquisition module 330 is specifically used to acquire the number of operating pumps based on the operating status of each pump, and to acquire the pump group flow value based on the number of operating pumps and the single pump flow value.

[0116] Based on the current candidate pump group control scheme, obtain the number of currently operating water pumps, and based on the pump group flow rate value and the number of currently operating water pumps, obtain the current single pump flow rate value;

[0117] Based on the target head-flow-frequency function, the current single-pump flow rate value, and the actual head value, obtain the current actual frequency value;

[0118] Based on the target efficiency flow-frequency function, the current actual frequency value, and the current single-pump flow value, the theoretical value of the single-pump efficiency corresponding to the current candidate pump group control scheme is calculated.

[0119] Optionally, the target pump group control scheme determination module 340 is specifically used to obtain the maximum single pump efficiency theoretical value based on the single pump efficiency theoretical value corresponding to each candidate pump group control scheme, and determine the candidate pump group control scheme corresponding to the maximum single pump efficiency theoretical value as the target pump group control scheme.

[0120] The control device for the water pump group provided in the embodiments of the present invention can execute the control method for the water pump group provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method.

[0121] The collection, storage, use, processing, transmission, provision, and disclosure of user personal information involved in the technical solution disclosed herein comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0122] Example 4

[0123] Figure 6 A schematic diagram of an electronic device 40 that can be used to implement embodiments of the present invention is shown. The electronic device 40 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0124] like Figure 6As shown, the electronic device 40 includes at least one processor 41 and a memory, such as a read-only memory (ROM) 42 or a random access memory (RAM) 43, communicatively connected to the at least one processor 41. The memory stores computer programs executable by the at least one processor. The processor 41 can perform various appropriate actions and processes based on the computer program stored in the read-only memory 42 or loaded from the storage unit 48 into the random access memory 43. The RAM 43 can also store various programs and data required for the operation of the electronic device 40. The processor 41, ROM 42, and RAM 43 are interconnected via a bus 44. An input / output (I / O) interface 45 is also connected to the bus 44.

[0125] Multiple components in electronic device 40 are connected to I / O interface 45, including: input unit 46, such as keyboard, mouse, etc.; output unit 47, such as various types of monitors, speakers, etc.; storage unit 48, such as disk, optical disk, etc.; and communication unit 49, such as network card, modem, wireless transceiver, etc. Communication unit 49 allows electronic device 40 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0126] Processor 41 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 41 include, but are not limited to, central processing units, graphics processing units, various special-purpose artificial intelligence computing chips, various processors running machine learning model algorithms, digital signal processors, and any suitable processor, controller, microcontroller, etc. Processor 41 performs the various methods and processes described above, such as the control methods for a water pump group.

[0127] In some embodiments, the pump group control method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 48. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 40 via ROM 42 and / or communication unit 49. When the computer program is loaded into RAM 43 and executed by processor 41, one or more steps of the pump group control method described above may be performed. Alternatively, in other embodiments, processor 41 may be configured to perform the pump group control method by any other suitable means (e.g., by means of firmware).

[0128] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays, application-specific integrated circuits (ASICs), application-specific standard products (ASICs), systems-on-a-chip (SoCs), payload programmable logic devices, computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0129] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0130] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory, read-only memory, erasable programmable read-only memory, optical fibers, portable compact disk read-only memory, optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0131] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device 40, which includes: a display device (e.g., a cathode ray tube or liquid crystal display) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device 40. Other types of devices can also be used to provide interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0132] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or middleware components (e.g., application servers), or frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0133] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact via a communication network. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server.

[0134] This embodiment may also include a computer program product, which includes a computer program that, when executed by a processor, implements the water pump group control method provided in any embodiment of the present invention.

[0135] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0136] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A control method for a water pump set, characterized in that, include: The operating status of each pump in the pump group is obtained, and when it is determined that the operating status of each pump meets the preset stable state conditions, the pressure parameter value corresponding to the pump group is obtained. Obtain the pump characteristic curve model, and calculate the theoretical value of single pump efficiency based on the pressure parameter value and the operating status of each pump using the pump characteristic curve model. If the theoretical value of the single pump efficiency meets the preset inefficient operating conditions, then multiple candidate pump group control schemes are obtained, and the theoretical value of the single pump efficiency corresponding to each candidate pump group control scheme is obtained through the pump characteristic curve model. Based on the theoretical single-pump efficiency value corresponding to each candidate pump group control scheme, a target pump group control scheme is determined among the candidate pump group control schemes, and the pump group is controlled based on the target pump group control scheme. The process of obtaining the pump characteristic curve model includes: Obtain the initial head-flow-frequency function and the initial efficiency-flow-frequency function; Obtain the rated parameters of the water pump and historical pump group data, and based on the rated parameters and historical pump group data, perform offline correction on the initial head-flow frequency function and the initial efficiency-flow frequency function to obtain the target head-flow frequency function and the target efficiency-flow frequency function, specifically including: Based on the initial head-flow-frequency function and the initial efficiency-flow-frequency function, the value range corresponding to each correction parameter is obtained, and the constraint conditions are obtained based on the value range corresponding to each correction parameter. Based on the initial head-flow-frequency function, a function representing the actual value of single pump efficiency is obtained, and based on the function representing the actual value of single pump efficiency and the initial efficiency-flow-frequency function, an objective function is generated. The optimization objective of the objective function is to minimize the difference between the actual value of single pump efficiency and the theoretical value of single pump efficiency. The objective function is solved based on the rated parameter values ​​of the water pump, the historical pump group data, and the constraints to obtain the target parameter values ​​corresponding to each of the correction parameters. Based on the initial head-flow frequency function, the initial efficiency-flow frequency function, and the target parameter values ​​corresponding to each of the correction parameters, the target head-flow frequency function and the target efficiency-flow frequency function are obtained. The pump characteristic curve model is obtained based on the target head-flow-frequency function and the target efficiency-flow-frequency function. Specifically, based on the pressure parameter values ​​and the operating status of each pump, the theoretical value of the single pump efficiency is calculated using the pump characteristic curve model, including: Based on the pressure parameter values, the inlet pressure value and the outlet pressure value are obtained, and the actual head value is calculated based on the inlet pressure value and the outlet pressure value. Based on the operating status of each pump, the actual frequency value is obtained, and based on the target head-flow-frequency function, the actual head value, and the actual frequency value, the single pump flow rate value is calculated. The theoretical value of single-pump efficiency is calculated based on the target efficiency flow-frequency function, the single-pump flow rate value, and the actual frequency value.

2. The method according to claim 1, characterized in that, Determining that the operating status of each water pump meets preset stable state conditions includes: Based on the operating status of each water pump, obtain the change value of the number of water pumps operating in the water pump group within a preset time period, and the change value of the corresponding operating frequency of each water pump. Determine whether the change in the number of operating water pumps is not equal to zero, or whether there is a target water pump whose corresponding operating frequency change is greater than a preset threshold. If not, determine that the operating state of each water pump meets the preset stable state condition.

3. The method according to claim 1, characterized in that, Using the pump characteristic curve model, the theoretical values ​​of single-pump efficiency corresponding to each candidate pump group control scheme are obtained, including: Based on the operating status of each pump, the number of operating pumps is obtained, and based on the number of operating pumps and the flow rate of a single pump, the flow rate of the pump group is obtained. Based on the current candidate pump group control scheme, obtain the number of currently operating water pumps, and based on the pump group flow rate value and the number of currently operating water pumps, obtain the current single pump flow rate value; Based on the target head-flow-frequency function, the current single-pump flow rate value, and the actual head value, obtain the current actual frequency value; Based on the target efficiency flow-frequency function, the current actual frequency value, and the current single-pump flow value, the theoretical value of the single-pump efficiency corresponding to the current candidate pump group control scheme is calculated.

4. The method according to claim 1, characterized in that, Based on the theoretical single-pump efficiency values ​​corresponding to each candidate pump group control scheme, the target pump group control scheme is determined from among the candidate pump group control schemes, including: Based on the theoretical single-pump efficiency values ​​corresponding to each candidate pump group control scheme, the maximum theoretical single-pump efficiency value is obtained, and the candidate pump group control scheme corresponding to the maximum theoretical single-pump efficiency value is determined as the target pump group control scheme.

5. An electronic device, characterized in that, The electronic device includes: At least one processor, and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the control method of the water pump assembly according to any one of claims 1-4.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the control method for the water pump assembly according to any one of claims 1-4.

7. A computer program product, characterized in that, It includes a computer program that, when executed by a processor, implements the control method for the water pump unit according to any one of claims 1-4.

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