Water pump energy-saving matching method, device, equipment and medium
Patent Information
- Application Number
- CN202610890924.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-18
- Publication Date
- 2026-11-03
AI Technical Summary
In existing technologies, water pump systems in industries such as steel, mining, chemical, and municipal engineering operate inefficiently due to improper selection and deviation from operating conditions, resulting in energy waste. Furthermore, traditional energy-saving retrofits make it difficult to accurately assess the technical feasibility and economic rationality of different solutions.
By acquiring on-site operating data of water pumps, mapping it to a specific operating condition space, constructing typical operating condition groups, and combining it with a water pump model library for matching simulation, the energy saving, energy saving rate, operating condition coverage, payback period and risk items of candidate water pumps are evaluated, and the optimal matching scheme is selected.
It enables automatic quantification of energy-saving potential under real-world operating conditions, automatic comparison and ranking across brands, significantly shortens the cycle of energy-saving renovation solutions, outputs the optimal feasible solution, and reduces reliance on experts and evaluation cycles.
Smart Images
Figure CN123032015A_ABST
Abstract
Description
Technical Field
[0001] The embodiments disclosed herein relate to the field of energy-saving retrofit technology, and more specifically, to a method, apparatus, equipment, and medium suitable for energy-saving matching of water pumps. Background Technology
[0002] Pump systems are widely used and energy-intensive in industries such as steel, mining, chemical, and municipal engineering. Due to factors such as improper selection and deviation from operating conditions, many pumps operate inefficiently for extended periods, with actual operating efficiency far below rated efficiency, resulting in significant energy waste.
[0003] In related technologies, traditional energy-saving retrofits often rely on experience-based judgment or simple power comparisons to achieve energy-saving assessments, making it difficult to accurately evaluate the technical feasibility and economic rationality of different energy-saving solutions, and difficult to determine the best retrofit solution for the water pump. Summary of the Invention
[0004] The embodiments described herein provide a water pump energy-saving matching method, apparatus, equipment, and medium that overcomes the aforementioned problems.
[0005] Firstly, based on the content of this disclosure, a water pump energy-saving matching method is provided, including: Obtain the current on-site operating data of the water pump, including: active power sequence, flow rate sequence, and inlet and outlet pressure sequence / equivalent head rate sequence; The active power sequence, flow rate sequence, and inlet / outlet pressure sequence / equivalent pump sequence of the current water pump are mapped to a specific operating condition space to obtain multiple typical operating condition groups; and the operating condition proportion weight of each typical operating condition group is determined according to the cumulative steady-state duration corresponding to each typical operating condition group; the typical operating condition group is used to describe a typical operating condition segment or typical operating condition point. Based on the operating condition proportion weight corresponding to each of the typical operating condition groups, the baseline energy consumption data of the current water pump in the statistical period is determined; Multiple candidate pumps that meet hard constraints are selected from a pre-built pump model library; and matching simulation is performed on each candidate pump to obtain the predicted operating energy consumption of each candidate pump within a statistical period. Based on the baseline energy consumption data of the current water pump in the statistical period and the predicted operating energy consumption of each candidate water pump in the statistical period, the energy saving index and energy saving rate index corresponding to each candidate water pump are determined. Determine the operating condition coverage index, payback period index, and risk item index for each candidate water pump under specific operating conditions; and conduct a comprehensive energy-saving assessment of each candidate water pump based on the energy-saving index, energy-saving rate index, operating condition coverage index, payback period index, and risk item index for each candidate water pump to obtain the energy-saving assessment score for each candidate water pump. The candidate water pump with the highest energy-saving score is selected as the target water pump with an energy-saving matching relationship with the current water pump; and the optimal matching scheme of the current water pump is determined according to the energy-saving recommendation data corresponding to the target water pump; the energy-saving recommendation data corresponding to the target water pump includes: energy saving index characterization, energy saving rate index characterization, payback period index characterization and recommended retrofit information.
[0006] Secondly, according to the present disclosure, a water pump energy-saving matching device is provided, comprising: The acquisition module is used to acquire the current field operation data of the water pump, which includes: active power sequence, flow rate sequence, and inlet and outlet pressure sequence / equivalent head rate sequence; The first determining module is used to map the active power sequence, flow rate sequence, and inlet and outlet pressure sequence / equivalent head sequence of the current water pump to a specific operating condition space to obtain multiple typical operating condition groups; and to determine the operating condition proportion weight of each typical operating condition group according to the cumulative steady-state duration corresponding to each typical operating condition group; the typical operating condition group is used to describe a typical operating condition segment or typical operating condition point. The second determining module is used to determine the baseline energy consumption data of the current water pump within the statistical period based on the operating condition proportion weight corresponding to each typical operating condition group. The simulation module is used to select multiple candidate pumps that meet hard constraints from a pre-built pump model library; and to perform matching simulation on each candidate pump to obtain the predicted operating energy consumption of each candidate pump within a statistical period. The third determining module is used to determine the energy-saving index and energy-saving rate index corresponding to each candidate water pump based on the baseline energy consumption data of the current water pump in the statistical period and the predicted operating energy consumption of each candidate water pump in the statistical period. The fourth determining module is used to determine the operating condition coverage index, payback period index, and risk item index for each candidate water pump under a specific operating condition; and to perform a comprehensive energy-saving assessment on each candidate water pump based on the energy-saving index, energy-saving rate index, operating condition coverage index, payback period index, and risk item index for each candidate water pump, thereby obtaining an energy-saving assessment score for each candidate water pump. The fifth determining module is used to select the candidate water pump with the highest energy-saving score as the target water pump with an energy-saving matching relationship with the current water pump; and to determine the optimal matching scheme of the current water pump based on the energy-saving recommendation data corresponding to the target water pump; the energy-saving recommendation data corresponding to the target water pump includes: energy saving index characterization, energy saving rate index characterization, payback period index characterization and recommended modification information.
[0007] Thirdly, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps of the water pump energy-saving matching method as described in any of the above embodiments.
[0008] Fourthly, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the water pump energy-saving matching method as described in any of the above embodiments.
[0009] The pump energy-saving matching method provided in this application embodiment obtains the current pump's field operation data, including: active power sequence, flow sequence, and inlet / outlet pressure sequence / equivalent headstock sequence; maps the current pump's active power sequence, flow sequence, and inlet / outlet pressure sequence / equivalent headstock sequence to a specific operating condition space to obtain multiple typical operating condition groups; determines the operating condition proportion weight corresponding to each typical operating condition group based on the cumulative steady-state duration corresponding to each typical operating condition group; the typical operating condition group is used to describe a typical operating condition segment or typical operating condition point; based on the operating condition proportion weight corresponding to each typical operating condition group, determines the baseline energy consumption data of the current pump within the statistical period; selects multiple candidate pumps that meet hard constraints from a pre-built pump model library; and performs matching simulation on each candidate pump to obtain the predicted operating energy consumption of each candidate pump within the statistical period; based on the current pump's energy consumption within the statistical period... Based on baseline energy consumption data during the period and predicted operating energy consumption of each candidate pump within the statistical period, the energy-saving index and energy-saving rate index for each candidate pump are determined. The operating condition coverage index, payback period index, and risk item index for each candidate pump under specific operating conditions are also determined. Based on these indices, a comprehensive energy-saving assessment is conducted for each candidate pump, resulting in an energy-saving assessment score. The candidate pump with the highest energy-saving score is selected as the target pump with an energy-saving matching relationship with the current pump. The optimal matching scheme for the current pump is determined based on the energy-saving recommendation data corresponding to the target pump. This energy-saving recommendation data includes: energy-saving index, energy-saving rate index, payback period index, and recommended retrofit information. Thus, by utilizing on-site operating data and combining it with a pump model library, cross-brand energy-saving retrofit matching is automatically achieved, effectively deriving the optimal energy-saving matching scheme that meets the constraints, facilitating efficient energy-saving retrofits.
[0010] The above description is merely an overview of the technical solutions of the embodiments of this application. In order to better understand the technical means of the embodiments of this application and to implement them in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the embodiments of this application more obvious and understandable, specific implementation methods of this application are described below. Attached Figure Description
[0011] To more clearly illustrate the technical solutions of the embodiments of this disclosure, the accompanying drawings of the embodiments will be briefly described below. It should be understood that the drawings described below only relate to some embodiments of this disclosure and are not intended to limit this disclosure, wherein: Figure 1 This is a flowchart illustrating a water pump energy-saving matching method provided in this disclosure.
[0012] Figure 2 This is a schematic diagram of the structure of a water pump energy-saving matching device provided in this disclosure.
[0013] Figure 3 This is a schematic diagram of the structure of a computer device provided in this disclosure.
[0014] It should be noted that the elements in the attached diagram are schematic and not drawn to scale. Detailed Implementation
[0015] To make the objectives, technical solutions, and advantages of the embodiments of this disclosure clearer, the technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this disclosure. All other embodiments obtained by those skilled in the art based on the described embodiments of this disclosure without creative effort are also within the scope of protection of this disclosure.
[0016] Unless otherwise defined, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which this subject matter pertains. It will be further understood that terms such as those defined in commonly used dictionaries shall be interpreted as having the meaning consistent with their meaning in the context of the specification and in the relevant art, and shall not be interpreted in an idealized or overly formal form unless otherwise explicitly defined herein. As used herein, the statement of “connecting” or “coupling” two or more parts together shall mean that these parts are directly joined together or joined through one or more intermediate components.
[0017] The term "embodiment" as used herein means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of this application. The appearance of the phrase "embodiment" in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.
[0018] In this document, the term "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can mean: A exists, A and B exist simultaneously, or B exists. Additionally, the character " / " generally indicates that the preceding and following related objects have an "or" relationship. Terms such as "first" and "second" are only used to distinguish one component (or part of a component) from another component (or another part of a component).
[0019] In the description of this application, unless otherwise stated, "multiple" means two or more (including two), and similarly, "multiple groups" means two or more (including two groups).
[0020] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.
[0021] Figure 1 This is a schematic flowchart of a water pump energy-saving matching method provided in an embodiment of this disclosure, as shown below. Figure 1 As shown, the specific process of the water pump energy-saving matching method includes: S110. Obtain the current on-site operating data of the water pump, including: active power sequence, flow sequence, and inlet / outlet pressure sequence / equivalent head sequence; map the current water pump's active power sequence, flow sequence, and inlet / outlet pressure sequence / equivalent head sequence to a specific operating condition space to obtain multiple typical operating condition groups; and determine the operating condition proportion weight of each typical operating condition group based on the cumulative steady-state duration corresponding to each typical operating condition group.
[0022] Among them, the current active power sequence P_meas(t) of the water pump can directly reflect the actual energy consumption level of the water pump. The field operation data can also include frequency sequence / speed sequence, where the frequency sequence f(t) or speed sequence N_meas(t) can reflect the operation and regulation status of the water pump. In addition, the field operation data can also include auxiliary signals such as valve position, number of pumps, start / stop status, and liquid level, which facilitates a more complete description of the water pump operation scenario.
[0023] Typical operating condition groups are used to describe a typical operating condition range or typical operating point. Specifically, a typical operating condition range can be used to characterize the operating condition interval in which the water pump maintains stable operation over a continuous period of time; a typical operating point can be used to characterize a snapshot of the water pump's operating state at a specific moment. Typical operating conditions include power P, head H, flow rate Q, and frequency / speed F.
[0024] By mapping operational data to a working condition space, K typical working condition segments / points can be obtained through interval binning or clustering. For each typical working condition segment / point, the cumulative steady-state duration T_k is calculated, and the corresponding working condition weight w_k = T_k / ΣT_k is calculated. i Let {typical operating condition, w_k} represent the actual operating condition distribution of the current system. The weight of the operating condition corresponding to the typical operating condition group is the ratio of its corresponding cumulative steady-state duration to the sum of the cumulative steady-state durations of all typical operating condition groups.
[0025] When the flow rate of a single pump is lacking on-site, the Q interval can be estimated or deduced by back-calculating from the current pump model and system constraints, and a confidence level can be given. For example, given the current pump reference curve H0(Q) (at N0), for each steady-state point (H_meas, N_meas), first convert it to the reference speed: H_eq = H_meas · (N0 / N_meas)^2; solve for Q_eq in the monotonic interval of H0(Q) to make H0(Q_eq) = H_eq; then convert it back to the actual speed: Q_est = Q_eq · (N_meas / N0). Substitute Q_est into P0(Q) or η0(Q) to calculate the predicted power P_pred, and compare it with P_meas; the smaller the residual, the higher the confidence level.
[0026] In some embodiments, before mapping the current pump's active power sequence, flow rate sequence, and inlet / outlet pressure sequence / equivalent pump sequence to a specific operating space to obtain multiple typical operating condition groups, the method further includes: performing time alignment, missing value removal, and outlier removal on the current pump's active power sequence, flow rate sequence, and inlet / outlet pressure sequence / equivalent pump sequence, respectively, to perform steady-state screening of the field operation data.
[0027] In the process of outlier removal, operating points corresponding to start-up and shutdown transients with negative power, sudden pressure spikes, and a frequency of 0 can be identified and removed as outliers. This effectively eliminates non-steady-state data interference generated during pump start-up, shutdown, and operating condition switching.
[0028] S120. Based on the operating condition ratio weights corresponding to each typical operating condition group, determine the baseline energy consumption data of the current water pump in the statistical period; select multiple candidate water pumps that meet the hard constraints from the pre-built water pump model library; and perform matching simulation on each candidate water pump to obtain the predicted operating energy consumption of each candidate water pump in the statistical period.
[0029] The matching simulation of the candidate pumps is conducted under the same real-world operating condition constraints. Hard constraints are determined based on the interface, power rating, speed / frequency range, NPSH (Net Positive Suction Head) margin, and installation space. Infeasible candidates, such as those with incorrect interface / installation type, rated power and on-site power distribution limits, permissible speed / frequency range, flow-head range, and NPSH margin boundaries, are eliminated based on the hard constraints to obtain multiple candidate pumps.
[0030] When building a pump model library, discrete curve points can be obtained from manufacturer model catalogs / samples, factory test reports or third-party test reports, and field calibration data. After unifying units and cleaning the data, piecewise interpolation or fitting is used to form calculable benchmark curves / equivalent models H0(Q), P0(Q), and η0(Q). The fitting parameters, applicable range (Q, N / frequency, power rating), interface / installation constraints, and NPSH boundaries are structured and stored in the library, with the source and version number recorded to support unified cross-brand access and comparison. The constructed pump model library can include: benchmark performance curves or equivalent models: H0(Q), P0(Q), η0(Q); applicable range and static parameters: rated power, rated speed / frequency, allowable operating range, impeller diameter, NPSH / cavitation margin boundaries, interface / installation constraints, etc.; model, energy efficiency rating, and manufacturer parameter mapping rules.
[0031] In some embodiments, the baseline energy consumption data of the current water pump in the statistical period is determined based on the operating condition proportion weight corresponding to each typical operating condition group, including: linearly weighting the baseline power of the current water pump corresponding to each typical operating condition group according to the operating condition proportion weight corresponding to each typical operating condition group to obtain the baseline energy consumption data of the current water pump in the statistical period.
[0032] The baseline energy consumption data E_base of the current water pump in the statistical period can be calculated according to the following formula (1).
[0033] E_base=Σ P_base(k)·w_k·T(1) In formula (1), w_k is the weight of the operating condition corresponding to the typical operating condition group; P_base(k) is the baseline power of the typical operating condition group; and T is the total duration of the statistical period.
[0034] In some embodiments, matching simulation is performed on each candidate pump to obtain the predicted operating energy consumption of each candidate pump within the statistical period, including: for each candidate pump, calculating the power of the corresponding operating condition matching point under a first configuration condition and calculating the power of the corresponding operating condition matching point under a second configuration condition; the first configuration condition is frequency conversion and the second configuration condition is non-frequency conversion; weighting the power of each candidate pump at the corresponding operating condition matching point under the first configuration condition and the power of the corresponding operating condition matching point under the second configuration condition to obtain the predicted operating energy consumption of each candidate pump within the statistical period.
[0035] For example, for each candidate pump i, for each typical operating condition target point k ( k ( Weight ), calculate the operating matching point and power for the two schemes of "configured frequency converter (speed regulation)" and "no frequency converter (fixed speed + valve regulation)".
[0036] For variable frequency drive (VFD) configurations, within the permissible speed range Inner solution To ensure that the candidate pump meets the target head condition: Thus, the matching point for this working condition is obtained. The corresponding power is calculated from the corresponding water pump model. If there is no solution within the allowable speed range or the hard constraints such as power are not met, then the VFD solution is deemed infeasible under this operating condition.
[0037] For solutions without variable frequency drive (constant speed + valve), in constant speed... Below, with target traffic To achieve the target, the operating point of the candidate water pump at this flow rate is: ,when At that time, it was believed that the target flow rate could be achieved by increasing resistance through valve adjustment, and that the excess head could be used. For throttling losses; power .like If so, the constant speed valve scheme is not feasible under this operating condition.
[0038] This yields the power P_cand_i(k) (or efficiency η_cand_i(k)) of the candidate pump under various typical operating conditions. The power is then weighted according to the proportion of actual operating conditions to obtain the predicted operating energy consumption E_cand_i of the candidate pump i within the statistical period.
[0039] S130. Based on the baseline energy consumption data of the current water pump in the statistical period and the predicted operating energy consumption of each candidate water pump in the statistical period, determine the energy saving index and energy saving rate index corresponding to each candidate water pump.
[0040] Among them, the energy-saving index corresponding to the candidate water pump is used to describe the energy-saving value of the candidate water pump, and the energy-saving rate index is used to describe the energy-saving rate value of the candidate water pump.
[0041] In some embodiments, based on the baseline energy consumption data of the current water pump within the statistical period and the predicted operating energy consumption of each candidate water pump within the statistical period, the energy-saving index and energy-saving rate index of each candidate water pump are determined, including: determining the difference between the baseline energy consumption data of the current water pump within the statistical period and the predicted operating energy consumption of each candidate water pump within the statistical period as the energy-saving index of the corresponding candidate water pump; and determining the ratio of the energy-saving index of each candidate water pump to the baseline energy consumption data of the current water pump within the statistical period as the energy-saving rate index of the corresponding candidate water pump.
[0042] Among them, the energy saving index corresponding to candidate pump i is characterized by ΔE_i = E_base E_cand_i; The energy saving rate index corresponding to candidate pump i is represented by R_i = ΔE_i / E_base.
[0043] Based on the investment capital C_i and electricity price p_e entered from the price database or backend, calculate the corresponding economic indicators. Annual cost savings S_i = ΔE_i (year) p_e; payback period T_i = C_i / S_i.
[0044] S140. Determine the operating condition coverage index, payback period index, and risk item index for each candidate water pump under specific operating conditions; and conduct a comprehensive energy-saving assessment of each candidate water pump based on the energy-saving index, energy-saving rate index, operating condition coverage index, payback period index, and risk item index for each candidate water pump to obtain the energy-saving assessment score for each candidate water pump.
[0045] Among them, the operating condition coverage index represents , This indicates the degree of feasibility quantification of the candidate water pump meeting power / speed constraints under operating condition k. The payback period T_i is obtained from the retrofit investment C_i and the annual savings S_i. Risk item indicators characterize... This includes quantifying penalty terms such as the proportion of out-of-bounds operations, the proportion of extrapolation, or insufficient confidence in key inputs. A comprehensive score is constructed by normalizing each indicator.
[0046] In some embodiments, an energy-saving comprehensive evaluation is performed on each candidate water pump based on its corresponding energy-saving index, energy-saving rate index, operating condition coverage index, payback period index, and risk item index, resulting in an energy-saving evaluation score for each candidate water pump. This includes: constructing a comprehensive evaluation function for evaluating candidate water pumps; the comprehensive evaluation function includes weights for energy-saving index, energy-saving rate index, operating condition coverage index, payback period index, and risk item index; and calculating a comprehensive score for each candidate water pump's corresponding energy-saving index, energy-saving rate index, operating condition coverage index, payback period index, and risk item index using the comprehensive evaluation function to obtain an energy-saving evaluation score for each candidate water pump.
[0047] The comprehensive evaluation function is shown in formula (2) below.
[0048] (2) In formula (2), Indicates the weight of energy-saving indicators; Indicates the weight of the energy saving rate indicator; Indicates the weight of the payback period indicator; Indicates the weight of the operating condition coverage index; This indicates the weight of the risk item indicator.
[0049] S150. Select the candidate water pump with the highest energy-saving score as the target water pump that has an energy-saving matching relationship with the current water pump; and determine the optimal matching scheme for the current water pump based on the energy-saving recommendation data corresponding to the target water pump.
[0050] The energy-saving recommendation data for the target water pump includes: energy-saving index characterization, energy-saving rate index characterization, payback period index characterization, and recommended modification information. The recommended modification information can be used to describe the recommended modification type for the current water pump, such as replacement / frequency conversion / impeller modification / parallel unit optimization, etc.
[0051] In some embodiments, the method further includes: selecting multiple candidate pumps other than the target pump, whose energy-saving score exceeds a preset score threshold, as alternative pumps that have an energy-saving matching relationship with the current pump; and determining alternative matching schemes for the current pump based on the energy-saving recommendation data corresponding to the alternative pumps.
[0052] In this approach, determining the optimal matching scheme for the current water pump before identifying alternative schemes can effectively balance the certainty and flexibility of decision-making, providing users with a multi-level range of technical options.
[0053] In this embodiment, the current pump's field operation data is acquired, including: active power sequence, flow rate sequence, and inlet / outlet pressure sequence / equivalent headstock sequence. The active power sequence, flow rate sequence, and inlet / outlet pressure sequence / equivalent headstock sequence of the current pump are mapped to a specific operating condition space to obtain multiple typical operating condition groups. The operating condition weight corresponding to each typical operating condition group is determined based on the cumulative steady-state duration. Each typical operating condition group describes a typical operating condition segment or point. Based on the operating condition weight corresponding to each typical operating condition group, the baseline energy consumption data of the current pump within the statistical period is determined. Multiple candidate pumps that meet hard constraints are selected from a pre-built pump model library. Matching simulation is performed on each candidate pump to obtain the predicted operating energy consumption of each candidate pump within the statistical period. Based on the baseline energy consumption of the current pump within the statistical period... Based on energy consumption data and the predicted operating energy consumption of each candidate pump within the statistical period, the energy-saving index and energy-saving rate index of each candidate pump are determined. The operating condition coverage index, payback period index, and risk item index of each candidate pump under specific operating conditions are also determined. Based on these indices, a comprehensive energy-saving assessment is conducted for each candidate pump, resulting in an energy-saving assessment score. The candidate pump with the highest energy-saving score is selected as the target pump with an energy-saving matching relationship with the current pump. The optimal matching scheme for the current pump is determined based on the energy-saving recommendation data corresponding to the target pump. This energy-saving recommendation data includes: energy-saving index, energy-saving rate index, payback period index, and recommended retrofit information. Thus, by utilizing on-site operating data and combining it with a pump model library, cross-brand energy-saving retrofit matching is automatically achieved, effectively deriving the optimal energy-saving matching scheme that meets the constraints, facilitating efficient energy-saving retrofits.
[0054] In summary, this embodiment does not rely on single-point design conditions but evaluates energy-saving effects based on the distribution of actual operating conditions; it enables automatic alignment and simulation of curves from different manufacturers under the same constraints, resolving the issue of incomparability across brands; it uses models and system constraints to infer / estimate the operating domain, making engineering feasible; it outputs an implementable and interpretable optimal solution; it significantly reduces reliance on experts and the evaluation cycle, making it suitable for group-level promotion. Therefore, it automatically quantifies energy-saving potential under real operating conditions, resulting in more accurate assessments; it automatically compares and ranks across brands, significantly shortening the development cycle of energy-saving renovation solutions; and it forms a closed loop of "data—matching—benefits—solutions," supporting large-scale implementation and continuous optimization.
[0055] Figure 2 This is a schematic diagram of a water pump energy-saving matching device provided in this embodiment. The water pump energy-saving matching device may include: The acquisition module 210 is used to acquire the current field operation data of the water pump. The field operation data includes: active power sequence, flow sequence, and inlet and outlet pressure sequence / equivalent pump sequence.
[0056] The first determining module 220 is used to map the current pump's active power sequence, flow rate sequence, and inlet / outlet pressure sequence / equivalent pumping sequence to a specific operating condition space to obtain multiple typical operating condition groups; and to determine the operating condition proportion weight of each typical operating condition group according to the cumulative steady-state duration corresponding to each typical operating condition group; the typical operating condition group is used to describe a typical operating condition segment or typical operating condition point.
[0057] The second determining module 230 is used to determine the baseline energy consumption data of the current water pump within the statistical period based on the operating condition proportion weight corresponding to each typical operating condition group.
[0058] The simulation module 240 is used to select multiple candidate pumps that meet the hard constraints from a pre-built pump model library; and to perform matching simulation on each candidate pump to obtain the predicted operating energy consumption of each candidate pump in the statistical period.
[0059] The third determination module 250 is used to determine the energy saving index and energy saving rate index corresponding to each candidate water pump based on the baseline energy consumption data of the current water pump in the statistical period and the predicted operating energy consumption of each candidate water pump in the statistical period.
[0060] The fourth determination module 260 is used to determine the operating condition coverage index, payback period index, and risk item index of each candidate water pump under specific operating conditions; and to conduct a comprehensive energy-saving assessment of each candidate water pump based on the energy saving index, energy saving rate index, operating condition coverage index, payback period index, and risk item index of each candidate water pump, so as to obtain the energy-saving assessment score of each candidate water pump.
[0061] The fifth determination module 270 is used to select the candidate water pump with the highest energy-saving score as the target water pump with an energy-saving matching relationship with the current water pump; and to determine the optimal matching scheme of the current water pump based on the energy-saving recommendation data corresponding to the target water pump; the energy-saving recommendation data corresponding to the target water pump includes: energy saving index characterization, energy saving rate index characterization, payback period index characterization and recommended modification information.
[0062] In some embodiments, the second determining module 230 is specifically used for: Based on the weighting of the operating conditions corresponding to each typical operating condition group, the baseline power of the current water pump corresponding to each typical operating condition group is linearly weighted to obtain the baseline energy consumption data of the current water pump within the statistical period.
[0063] In some embodiments, the simulation module 240 is specifically used for: For each candidate pump, the power of the corresponding operating condition matching point is calculated under the first configuration condition and the power of the corresponding operating condition matching point is calculated under the second configuration condition. The first configuration condition is variable frequency, and the second configuration condition is non-variable frequency. The power of the corresponding operating condition matching point of each candidate pump under the first configuration condition and the power of the corresponding operating condition matching point under the second configuration condition are weighted to obtain the predicted operating energy consumption of each candidate pump in the statistical period.
[0064] In some embodiments, the third determining module 250 is specifically used for: The difference between the baseline energy consumption data of the current water pump in the statistical period and the predicted operating energy consumption of each candidate water pump in the statistical period is determined as the energy-saving index of the corresponding candidate water pump; the ratio of the energy-saving index of each candidate water pump to the baseline energy consumption data of the current water pump in the statistical period is determined as the energy-saving rate index of the corresponding candidate water pump.
[0065] In some embodiments, the fourth determining module 260 is specifically used for: A comprehensive evaluation function is constructed to evaluate candidate water pumps. The comprehensive evaluation function includes the weights of energy saving index, energy saving rate index, operating condition coverage index, payback period index, and risk item index. The comprehensive evaluation function is used to calculate the comprehensive score of each candidate water pump based on its corresponding energy saving index, energy saving rate index, operating condition coverage index, payback period index, and risk item index, so as to obtain the energy saving evaluation score for each candidate water pump.
[0066] In some embodiments, a sixth determining module is also included.
[0067] The sixth determination module is used to select multiple candidate water pumps other than the target water pump, whose energy-saving score exceeds a preset score threshold, as alternative water pumps that have an energy-saving matching relationship with the current water pump; and to determine the alternative matching scheme of the current water pump based on the energy-saving recommendation data corresponding to the alternative water pumps.
[0068] In some embodiments, a screening module is also included.
[0069] The filtering module is used to perform time alignment, missing value removal, and outlier removal on the current pump's active power sequence, flow rate sequence, and inlet / outlet pressure sequence / equivalent pump power sequence, respectively, in order to perform steady-state filtering on the field operation data.
[0070] The water pump energy-saving matching device provided in this disclosure can perform the above-described method embodiments. Its specific implementation principle and technical effects can be found in the above-described method embodiments, and will not be repeated here.
[0071] This application also provides a computer device. Please refer to the following for details. Figure 3 , Figure 3 This is a basic structural block diagram of the computer device in this embodiment.
[0072] The computer device includes a memory 310 and a processor 320 that are interconnected via a system bus. It should be noted that only a computer device with memory 310 and processor 320 is shown in the figure; however, it should be understood that it is not required to implement all the components shown, and more or fewer components may be implemented alternatively. Those skilled in the art will understand that the computer device described herein is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.
[0073] Computer devices can include desktop computers, laptops, handheld computers, and cloud servers. These devices allow for human-computer interaction with users through keyboards, mice, remote controls, touchpads, or voice-activated devices.
[0074] The memory 310 includes at least one type of readable storage medium, including non-volatile memory or volatile memory, such as flash memory, hard disk, multimedia card, card-type memory (e.g., SD or DX memory), random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, magnetic disk, optical disk, etc. RAM may include static RAM or dynamic RAM. In some embodiments, the memory 310 may be an internal storage unit of a computer device, such as the hard disk or memory of the computer device. In other embodiments, the memory 310 may also be an external storage device of the computer device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, or flash card equipped on the computer device. Of course, the memory 310 may include both internal storage units and external storage devices of the computer device. In this embodiment, the memory 310 is typically used to store the operating system and various application software installed on the computer device, such as the program code of the method described above. In addition, the memory 310 can also be used to temporarily store various types of data that have been output or will be output.
[0075] Processor 320 is typically used to perform overall operations of a computer device. In this embodiment, memory 310 is used to store program code or instructions, including computer operation instructions, and processor 320 is used to execute the program code or instructions stored in memory 310 or process data, such as program code that runs the methods described above.
[0076] In this article, the bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. This bus system can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.
[0077] Another embodiment of this application also provides a computer-readable medium, which may be a computer-readable signal medium or a computer-readable medium. A processor in a computer reads computer-readable program code stored in the computer-readable medium, enabling the processor to execute the functional actions specified in each step or combination of steps in the above method; and to generate means for implementing the functional actions specified in each block or combination of blocks in the block diagram.
[0078] Computer-readable media include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared memory or semiconductor systems, devices or apparatuses, or any suitable combination thereof, wherein the memory is used to store program code or instructions, the program code including computer operation instructions, and the processor is used to execute the program code or instructions of the above-described methods stored in the memory.
[0079] The definitions of memory and processor can be found in the description of the foregoing computer device embodiments, and will not be repeated here.
[0080] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
[0081] In the various embodiments of this application, the functional units or modules can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0082] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0083] In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" as described in this application does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. This application can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims listing several means, several units of these means may be embodied by the same item of hardware. The use of "first," "second," and "third," etc., does not indicate any order and these words should be interpreted as names. Unless otherwise specified, the steps in the above embodiments should not be construed as limiting the order of execution.
[0084] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.
Claims
1. A water pump energy-saving matching method, characterized in that, include: Obtain the current on-site operating data of the water pump, including: active power sequence, flow rate sequence, and inlet and outlet pressure sequence / equivalent head rate sequence; The active power sequence, flow rate sequence, and inlet / outlet pressure sequence / equivalent pump sequence of the current water pump are mapped to a specific operating condition space to obtain multiple typical operating condition groups; and the operating condition proportion weight of each typical operating condition group is determined according to the cumulative steady-state duration corresponding to each typical operating condition group; the typical operating condition group is used to describe a typical operating condition segment or typical operating condition point. Based on the operating condition proportion weight corresponding to each of the typical operating condition groups, the baseline energy consumption data of the current water pump in the statistical period is determined; Multiple candidate pumps that meet hard constraints are selected from a pre-built pump model library; and matching simulation is performed on each candidate pump to obtain the predicted operating energy consumption of each candidate pump within a statistical period. Based on the baseline energy consumption data of the current water pump in the statistical period and the predicted operating energy consumption of each candidate water pump in the statistical period, the energy saving index and energy saving rate index corresponding to each candidate water pump are determined. Determine the operating condition coverage index, payback period index, and risk item index for each candidate water pump under specific operating conditions; and conduct a comprehensive energy-saving assessment of each candidate water pump based on the energy-saving index, energy-saving rate index, operating condition coverage index, payback period index, and risk item index for each candidate water pump to obtain the energy-saving assessment score for each candidate water pump. The candidate water pump with the highest energy-saving score is selected as the target water pump with an energy-saving matching relationship with the current water pump; and the optimal matching scheme of the current water pump is determined according to the energy-saving recommendation data corresponding to the target water pump; the energy-saving recommendation data corresponding to the target water pump includes: energy saving index characterization, energy saving rate index characterization, payback period index characterization and recommended retrofit information.
2. The method according to claim 1, characterized in that, Based on the operating condition percentage weight corresponding to each of the typical operating condition groups, the baseline energy consumption data of the current water pump within the statistical period is determined, including: According to the operating condition proportion weight of each typical operating condition group, the baseline power of the current water pump corresponding to each typical operating condition group is linearly weighted to obtain the baseline energy consumption data of the current water pump in the statistical period.
3. The method according to claim 1, characterized in that, Matching simulations are performed on each of the candidate pumps to obtain the predicted operating energy consumption of each candidate pump within the statistical period, including: For each candidate water pump, the power of the corresponding operating condition matching point is calculated under a first configuration condition and under a second configuration condition; the first configuration condition is frequency conversion and the second configuration condition is non-frequency conversion. The power of each candidate water pump at the corresponding operating condition matching point under the first configuration condition and the power at the corresponding operating condition matching point under the second configuration condition are weighted to obtain the predicted operating energy consumption of each candidate water pump within the statistical period.
4. The method according to claim 1, characterized in that, Based on the baseline energy consumption data of the current water pump within the statistical period and the predicted operating energy consumption of each candidate water pump within the statistical period, the energy-saving index and energy-saving rate index corresponding to each candidate water pump are determined, including: The difference between the baseline energy consumption data of the current water pump in the statistical period and the predicted operating energy consumption of each candidate water pump in the statistical period is determined as the energy-saving index characterization corresponding to the candidate water pump. The ratio of the energy-saving index characterization corresponding to each candidate water pump to the baseline energy consumption data of the current water pump in the statistical period is determined as the energy-saving rate characterization corresponding to the candidate water pump.
5. The method according to claim 1, characterized in that, Based on the energy-saving index, energy-saving rate index, operating condition coverage index, payback period index, and risk item index corresponding to each candidate water pump, a comprehensive energy-saving evaluation is performed on each candidate water pump to obtain an energy-saving evaluation score for each candidate water pump, including: A comprehensive evaluation function is constructed to evaluate the candidate water pumps; the comprehensive evaluation function includes the weights of energy saving index, energy saving rate index, operating condition coverage index, payback period index, and risk item index. The comprehensive evaluation function is used to calculate a comprehensive score for each candidate water pump, which includes energy saving index, energy saving rate index, operating condition coverage index, payback period index, and risk item index.
6. The method according to claim 1, characterized in that, Also includes: Select multiple candidate pumps, other than the target pump, whose energy-saving scores exceed a preset score threshold, as alternative pumps that have an energy-saving matching relationship with the current pump; and determine alternative matching schemes for the current pump based on the energy-saving recommendation data corresponding to the alternative pumps.
7. The method according to claim 1, characterized in that, Before mapping the current pump's active power sequence, flow rate sequence, and inlet / outlet pressure sequence / equivalent pump power sequence to a specific operating condition space to obtain multiple typical operating condition groups, the process also includes: The active power sequence, flow rate sequence, and inlet / outlet pressure sequence / equivalent pump sequence of the current water pump are time-aligned, missing values are removed, and outliers are removed to perform steady-state screening of the field operation data.
8. A water pump energy-saving matching device, characterized in that, include: The acquisition module is used to acquire the current field operation data of the water pump, which includes: active power sequence, flow rate sequence, and inlet and outlet pressure sequence / equivalent head rate sequence; The first determining module is used to map the active power sequence, flow rate sequence, and inlet and outlet pressure sequence / equivalent head sequence of the current water pump to a specific operating condition space to obtain multiple typical operating condition groups; and to determine the operating condition proportion weight of each typical operating condition group according to the cumulative steady-state duration corresponding to each typical operating condition group; the typical operating condition group is used to describe a typical operating condition segment or typical operating condition point. The second determining module is used to determine the baseline energy consumption data of the current water pump within the statistical period based on the operating condition proportion weight corresponding to each of the typical operating condition groups. The simulation module is used to select multiple candidate pumps that meet hard constraints from a pre-built pump model library; and to perform matching simulation on each candidate pump to obtain the predicted operating energy consumption of each candidate pump within a statistical period. The third determining module is used to determine the energy-saving index and energy-saving rate index corresponding to each candidate water pump based on the baseline energy consumption data of the current water pump in the statistical period and the predicted operating energy consumption of each candidate water pump in the statistical period. The fourth determining module is used to determine the operating condition coverage index, payback period index, and risk item index for each candidate water pump under a specific operating condition; and to perform a comprehensive energy-saving assessment on each candidate water pump based on the energy-saving index, energy-saving rate index, operating condition coverage index, payback period index, and risk item index for each candidate water pump, thereby obtaining an energy-saving assessment score for each candidate water pump. The fifth determining module is used to select the candidate water pump with the highest energy-saving score as the target water pump with an energy-saving matching relationship with the current water pump; and to determine the optimal matching scheme of the current water pump based on the energy-saving recommendation data corresponding to the target water pump; the energy-saving recommendation data corresponding to the target water pump includes: energy saving index characterization, energy saving rate index characterization, payback period index characterization and recommended modification information.
9. A computer device, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the water pump energy-saving matching method as described in any one of claims 1 to 7.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the water pump energy-saving matching method as described in any one of claims 1 to 7.