Method and apparatus for determining impeller hydraulic model, device, medium, and, program product

Abstract

A method and apparatus for determining an impeller hydraulic model, a device, a medium, and a program product. The method comprises: constructing a performance optimization mathematical model for a high-pressure flushing pump in a trailing suction hopper dredger under a plurality of working conditions (S110); on the basis of main working condition operating parameters of a main working condition among the plurality of working conditions, determining an external shape parameter of an impeller and a target rotational speed of the impeller under the main working condition (S120); on the basis of the external shape parameter, the target rotational speed, and a blade profile model of the impeller, determining candidate impeller hydraulic models (S130); and on the basis of the performance optimization mathematical model, selecting a target impeller hydraulic model from the candidate impeller hydraulic models under the plurality of working conditions (S140).

Description

Methods, apparatus, equipment, media, and procedures for determining impeller hydraulic models

[0001] This application claims priority to Chinese Patent Application No. 202410676963.7, filed with the Chinese Patent Office on May 29, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to the field of hydraulic design of high-pressure flushing pumps for trailing suction hopper dredgers, and for example to a method, apparatus, equipment, medium and program product for determining the impeller hydraulic model. Background Technology

[0003] High-pressure flushing pumps are typically installed on trailing suction hopper dredgers to assist dredging operations. These pumps operate in two main ways: first, by jetting water through the nozzles of the scraper head into the dredged sediment, loosening the soil, reducing the scraper head's cutting resistance, and liquefying the sediment to allow the pump to draw in high-concentration slurry; second, by flushing the sludge chamber, diluting the sediment at the bottom and assisting the pump in quickly emptying the chamber. These two operating methods may require two to four operating points, covering a wide range of operating conditions from minimum scraper flow to maximum sludge flow. Therefore, the hydraulic performance curve of the high-pressure flushing pump must cover a broad, high-efficiency operating range.

[0004] Currently, high-pressure flushing pumps are often designed to meet flow rate and head requirements, which can cause significant off-condition vibration or cavitation problems during the construction of trailing suction hopper dredgers. This results in poor hydraulic performance of the high-pressure flushing pumps, which in turn affects the economic benefits of dredging projects. Summary of the Invention

[0005] This application provides a method, apparatus, equipment, medium, and program product for determining the impeller hydraulic model, which can be applied to multiple operating conditions of high-pressure flushing pumps, optimize the comprehensive hydraulic performance of high-pressure flushing pumps of trailing suction hopper dredgers, and thus improve the economic benefits of dredging projects.

[0006] Firstly, this application provides a method for determining an impeller hydraulic model, the method comprising:

[0007] Construct a mathematical model for performance optimization of the high-pressure flushing pump in a trailing suction hopper dredger under multiple operating conditions;

[0008] The external parameters of the impeller of the high-pressure flushing pump and the target rotational speed of the impeller under the main operating condition are determined based on the main operating parameters of the main operating condition among the multiple operating conditions.

[0009] Candidate impeller hydraulic models are determined based on the external parameters, the target rotational speed, and the impeller blade profile model.

[0010] Based on the performance optimization mathematical model, the target impeller hydraulic model is selected from the candidate impeller hydraulic models under the multiple operating conditions.

[0011] In some embodiments, determining the candidate impeller hydraulic model based on the external shape parameters, the target rotational speed, and the impeller blade profile model includes: determining the front and rear cover surfaces of the impeller based on the external shape parameters and the target rotational speed; determining the candidate blade profile curves based on the external shape parameters and the blade profile model; and combining the front and rear cover surfaces of the impeller with the candidate blade profile curves to obtain the candidate impeller hydraulic model.

[0012] In some embodiments, the external parameters include the impeller's inlet diameter; determining the impeller's external parameters and the impeller's target rotational speed under the main operating condition based on the main operating condition's operating parameters among the plurality of operating conditions includes: calculating the impeller's rotational speed range under the main operating condition based on the impeller's specific speed and the main operating condition's operating parameters; calculating the impeller's inlet diameter range based on the main operating condition's operating parameters and the rotational speed range; determining the impeller's inlet diameter from the inlet diameter range; and calculating the impeller's target rotational speed under the main operating condition based on the inlet diameter and the main operating condition's operating parameters.

[0013] In some embodiments, before selecting a target impeller hydraulic model from the candidate impeller hydraulic models under the multiple operating conditions based on the performance optimization mathematical model, the method further includes: calculating the impeller outer diameter and the impeller blade outlet width based on the impeller inlet diameter; and generating a volute flow channel curve based on the impeller outer diameter, the blade outlet width, the main operating condition parameters, and the target rotational speed.

[0014] In some embodiments, the number of candidate impeller hydraulic models is multiple; the step of selecting a target impeller hydraulic model from the candidate impeller hydraulic models under multiple operating conditions based on the performance optimization mathematical model includes: for a first impeller hydraulic model among the multiple candidate impeller hydraulic models, running the high-pressure flushing pump based on the volute flow channel curve and the first impeller hydraulic model to determine the performance indicators of the high-pressure flushing pump under the multiple operating conditions; determining whether the performance indicators under the multiple operating conditions satisfy the performance optimization mathematical model; in response to the performance indicators under the multiple operating conditions satisfying the performance optimization mathematical model, determining the first impeller hydraulic model as the target impeller hydraulic model; and traversing each candidate impeller hydraulic model among the multiple candidate impeller hydraulic models to obtain the target impeller hydraulic model.

[0015] In some embodiments, the performance optimization mathematical model includes efficiency requirements, shaft power requirements, and cavitation safety margin requirements; determining whether the performance indicators under the plurality of operating conditions meet the performance optimization mathematical model includes: determining the operating efficiency of each operating condition and the weighted efficiency of the plurality of operating conditions based on the efficiency index among the performance indicators; in response to the operating efficiency and the weighted efficiency both meeting the efficiency requirements, determining the shaft power of each operating condition based on the shaft power index among the performance indicators; in response to the shaft power of each operating condition meeting the shaft power requirements, determining the net positive suction head (NPSH) of each operating condition based on the cavitation amount index among the performance indicators; in response to the NPSH of each operating condition meeting the cavitation safety margin requirements, determining that the performance indicators under the plurality of operating conditions meet the performance optimization mathematical model.

[0016] In some embodiments, operating the high-pressure flushing pump based on the volute flow channel curve and the first impeller hydraulic model to determine the performance indicators of the high-pressure flushing pump under multiple operating conditions includes: simulating the impeller structure based on the volute flow channel curve and the first impeller hydraulic model; controlling the high-pressure flushing pump to operate under the main operating condition based on the impeller structure to obtain the performance indicators of the high-pressure flushing pump under the main operating condition, and determining the main operating condition performance curve of the high-pressure flushing pump under multiple flow rates; converting the main operating condition performance curve into a first operating condition performance curve based on the target speed of the main operating condition and the speed of the first operating condition, wherein the first operating condition is an operating condition other than the main operating condition among the multiple operating conditions; and determining the performance indicators of the high-pressure flushing pump under the first operating condition based on the first operating condition performance curve, thereby obtaining the performance indicators of the high-pressure flushing pump under multiple operating conditions.

[0017] Secondly, this application provides a device for determining an impeller hydraulic model, the device comprising:

[0018] The model building module was optimized to construct a mathematical model for the performance optimization of the high-pressure flushing pump in a trailing suction hopper dredger under multiple operating conditions.

[0019] The impeller parameter determination module is configured to determine the impeller's external parameters and the impeller's target rotational speed under the main operating condition based on the main operating parameters of the main operating condition among the multiple operating conditions.

[0020] The candidate hydraulic model determination module is configured to determine candidate impeller hydraulic models based on the external parameters, the target rotational speed, and the impeller blade profile model.

[0021] The target hydraulic model determination module is configured to select a target impeller hydraulic model from the candidate impeller hydraulic models under the multiple operating conditions based on the performance optimization mathematical model.

[0022] Thirdly, this application provides an electronic device comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable 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 method for determining the impeller hydraulic model as described in any embodiment of this application.

[0023] Fourthly, this application provides a computer-readable storage medium storing computer instructions that, when executed by a processor, implement the method for determining the impeller hydraulic model as described in any embodiment of this application.

[0024] Fifthly, this application provides a computer program product, including a computer program that, when executed by a processor, implements the method for determining the impeller hydraulic model as described in any embodiment of this application.

[0025] The aforementioned computer instructions may be stored, in whole or in part, on a computer-readable storage medium. This computer-readable storage medium may be packaged together with the processor of the device for determining the turbine hydraulic model, or it may be packaged separately from the processor of the device for determining the turbine hydraulic model.

[0026] The descriptions of the second, third, ... and fifth aspects in this application can be referenced to the detailed description of the first aspect; and the beneficial effects of the descriptions of the second, third, ... and fifth aspects can be referenced to the analysis of the beneficial effects of the first aspect.

[0027] The description in this section is not intended to identify key or essential features of the embodiments of this application. Other features of this application will become readily apparent from the following description.

[0028] Before using the technical solutions disclosed in the embodiments of this application, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in this application in an appropriate manner in accordance with relevant laws and regulations, and user authorization should be obtained. Attached Figure Description

[0029] Figure 1 is a flowchart illustrating a method for determining an impeller hydraulic model according to an embodiment of this application;

[0030] Figure 2 is a schematic diagram of the blade profile curve corresponding to the target impeller hydraulic model provided in the embodiment of this application;

[0031] Figure 3A shows the efficiency curves of the high-pressure flushing pump under multiple operating conditions provided in the embodiments of this application.

[0032] Figure 3B shows the head curves of the high-pressure flushing pump under multiple operating conditions provided in the embodiments of this application.

[0033] Figure 3C shows the shaft power curves of the high-pressure flushing pump under multiple operating conditions provided in the embodiments of this application.

[0034] Figure 4 is a schematic diagram of the structure of a device for determining an impeller hydraulic model provided in an embodiment of this application;

[0035] Figure 5 is a block diagram of an electronic device used to implement a method for determining an impeller hydraulic model according to an embodiment of this application. Detailed Implementation

[0036] The terms "first," "second," "target," and "original," etc., used in the specification, claims, and accompanying drawings of this application 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 the embodiments of this application described herein can be implemented in sequences other than those illustrated or described herein. Furthermore, the terms "comprising," "having," and any variations thereof are intended to cover a non-exclusive inclusion, for example, including, in addition to a process, method, system, product, or apparatus that comprises a series of steps or units, other processes, methods, systems, products, and apparatuses that are not explicitly listed in this series of steps or units, or other steps or units inherent to such processes, methods, systems, products, or apparatuses.

[0037] Figure 1 is a flowchart illustrating a method for determining an impeller hydraulic model according to an embodiment of this application. This embodiment is applicable to the design of impellers for high-pressure flushing pumps in trailing suction hopper dredgers operating under multiple conditions. The method for determining an impeller hydraulic model provided in this embodiment can be executed by the device for determining the impeller hydraulic model provided in this embodiment. This device can be implemented through software and / or hardware and integrated into the electronic device executing this method.

[0038] Referring to Figure 1, the method of this embodiment includes, for example, the following steps:

[0039] S110. Construct a mathematical model for performance optimization of the high-pressure flushing pump in a trailing suction hopper dredger under multiple operating conditions.

[0040] A trailing suction hopper dredger is a large, self-propelled, bucket-type dredger equipped with a trailing hopper and a hydraulic suction system. The high-pressure water pump operates in two main modes: first, it jets water through the trailing hopper nozzles to loosen the soil, reducing cutting resistance and liquefying the mud, allowing the pump to draw in high-concentration slurry; second, it flushes the sludge chamber, diluting sediment at the bottom and assisting the pump in quickly emptying the chamber. Multiple operating conditions can include main flushing with the trailing hopper, main flushing of the sludge chamber, auxiliary flushing with the trailing hopper, and auxiliary flushing of the sludge chamber. The performance optimization mathematical model refers to the performance optimization requirements that the high-pressure water pump must meet under these multiple operating conditions, including efficiency requirements, shaft power requirements, and cavitation safety margin requirements.

[0041] In this embodiment, considering the efficiency, head, power, and net positive suction head (NPSH) requirements of the high-pressure flushing pump under multiple operating conditions, a performance optimization mathematical model is constructed to satisfy the multi-condition operation requirements of the high-pressure flushing pump. For example, the head H of the target construction condition is known. i (unit: meter (m)) and flow rate Q i (unit: cubic meters per second (m)) 3 / s)) requirements and power limit value P max (Unit: kilowatts (kW)) With efficiency as the main optimization objective, the efficiency requirement can be expressed by formula (1); with shaft power as the optimization objective, the shaft power requirement can be expressed by formula (2); with net positive suction head (NPSH) as the optimization objective, the critical NPSH with a 3% head reduction is used. 3％ For the verification index, the cavitation safety margin requirement can be expressed by formula (3): η=Σα i η i =α1η1+α2η2+…+α n η n ≥85%, and η i ≥80% (i=1,2,…,n) (1) P i ≤P max (2) [NPSH] i =NPSH a,i -NPSH 3％,i ≥2 (3)

[0042] Where η is efficiency, in %; α is the weighting coefficient for the operating condition; P is shaft power, in kW; P max [NPSH] represents the power limit value in kW; [NPSH] represents the cavitation safety margin in meters. a NPSH is the net positive suction head (NPSH) of the unit, in meters (m). 3％The critical net positive suction head (NPSH) is defined as a 3% reduction in head, expressed in meters (m). The subscript i indicates the operating condition number among multiple operating conditions, with a maximum of n. This implementation uses n=4 (i.e., four operating conditions) as an example to explain the method for determining the impeller hydraulic model in this application.

[0043] Optionally, the weighting coefficients of multiple operating condition efficiency indicators are shown in Table 1 below. The table illustrates the weighting coefficients of four operating conditions under four different design schemes.

[0044] Table 1. Weighting coefficients of efficiency indicators under multiple operating conditions

[0045] S120. Determine the impeller's external parameters and the target speed of the impeller under the main operating condition based on the main operating parameters of the main operating condition among multiple operating conditions.

[0046] For example, determining the impeller's external parameters and target speed under the main operating condition based on the main operating parameters among multiple operating conditions includes: calculating the impeller's speed range under the main operating condition based on the impeller's specific speed and the main operating parameters; calculating the impeller's suction inlet diameter range based on the main operating parameters and the speed range; determining the impeller's suction inlet diameter from the suction inlet diameter range; and calculating the impeller's target speed under the main operating condition based on the suction inlet diameter and the main operating parameters.

[0047] External parameters include the impeller's suction inlet diameter. Specific speed refers to the rotational speed of a high-pressure flushing pump at its highest efficiency when the head is one meter and the flow rate is 0.075 cubic meters per second, denoted as n. s This implementation requires a specific speed n s The range is 80±5. This embodiment uses the main impact rake working condition as the main working condition.

[0048] In this embodiment of the application, based on the specific speed n s The design head and flow rate of the main impeller under the main impeller condition can be calculated using the following formula (4). The range of the impeller's suction inlet diameter D1 can be calculated using the velocity coefficient method based on the flow rate and speed range in the main operating parameters, as shown in formula (5). To improve cavitation performance, D1 is taken upward within the suction inlet diameter range, requiring it to be a multiple of 50, thus obtaining the value of D1. Based on formula (6), the target speed n1 of the impeller under the main operating condition can be obtained.

[0049] Where, n 区间 Indicates the range of rotational speeds; n s Indicates specific speed; H1 represents the head under main operating conditions; Q1 represents the flow rate under main operating conditions; D 区间 D1 represents the impeller's suction port diameter; n1 represents the target rotational speed.

[0050] Optionally, the external parameters also include the impeller outer diameter and the impeller blade outlet width. The impeller outer diameter and the impeller blade outlet width can be calculated based on the impeller inlet diameter. For example, the blade outer diameter D2 (in millimeters (mm)) is 2 to 2.3 times the impeller inlet diameter D1 (in mm), and the blade outlet width b2 (in mm) is 1 / 4 to 1 / 3 of the impeller inlet diameter D1.

[0051] S130. Determine the candidate impeller hydraulic model based on the external parameters, target speed, and impeller blade profile model.

[0052] For example, determining a candidate impeller hydraulic model based on external parameters, target rotational speed, and impeller blade profile model includes: using general techniques to determine the front and rear cover surfaces of the impeller based on external parameters and target rotational speed; determining candidate blade profile curves based on the impeller inlet diameter and blade profile model in the external parameters; and combining the front and rear cover surfaces of the impeller with the candidate blade profile curves to obtain the candidate impeller hydraulic model.

[0053] In this embodiment, the blade profile can be designed using a logarithmic spiral. The blade profile model can be expressed by formula (7):

[0054] Among them, R s θ is the distance from a point on the blade profile to the center of the circle; θ is the angle of the blade in the circumferential direction. D1 represents the blade wrap angle; D2 represents the impeller inlet diameter; D2 represents the blade outer diameter; k1 and k2 are coefficients. Multiple sets of parameters are obtained within the constraints of formula (7), namely (k1, k2, ...). This allows us to obtain multiple candidate blade profile curves corresponding to multiple sets of parameters.

[0055] S140. Based on the performance optimization mathematical model, select the target impeller hydraulic model from the candidate impeller hydraulic models under multiple operating conditions.

[0056] In some embodiments, before selecting the target impeller hydraulic model from candidate impeller hydraulic models under multiple operating conditions based on the performance optimization mathematical model, the method further includes: obtaining the volute flow channel design drawing and generating the volute flow channel curve using a general design method based on the impeller outer diameter, blade outlet width, main operating condition parameters (such as head and flow rate) and target speed.

[0057] For example, selecting a target impeller hydraulic model from candidate impeller hydraulic models under multiple operating conditions based on a performance optimization mathematical model includes: There are multiple candidate impeller hydraulic models; for the first impeller hydraulic model among the multiple candidate models, firstly, using general computational fluid dynamics (CFD) technology, a high-pressure flushing pump is run based on the volute flow channel curve and the first impeller hydraulic model to determine the performance indicators of the high-pressure flushing pump under multiple operating conditions, such as efficiency, shaft power, and cavitation rate; then, it is determined whether the performance indicators under multiple operating conditions satisfy the performance optimization mathematical model; finally, if they satisfy the performance optimization mathematical model, the first impeller hydraulic model is determined as the target impeller hydraulic model; and this process is repeated for each candidate impeller hydraulic model among the multiple candidate models to obtain the target impeller hydraulic model.

[0058] In some implementations, when using CFD technology to simulate the hydraulic models of each candidate impeller, it is necessary to first determine the three-dimensional model of the impeller corresponding to each candidate hydraulic model. For example, the three-dimensional model of the impeller in the high-pressure flushing pump can be simulated based on the curved surfaces of the front and rear cover plates of the impeller, the blade profile curve corresponding to the hydraulic model of the target impeller, the blade thickness, and the number of blades. The blade thickness can be 5% of the impeller suction port diameter, and the number of blades can be 5.

[0059] In some embodiments, the performance optimization mathematical model includes efficiency requirements, shaft power requirements, and cavitation safety margin requirements. Determining whether the performance indicators under multiple operating conditions meet the performance optimization mathematical model includes: determining the operating efficiency of each operating condition and the weighted efficiency of multiple operating conditions based on the efficiency index in the performance indicators; when both the operating efficiency and the weighted efficiency meet the efficiency requirements (i.e., formula (1)), determining the shaft power of each operating condition based on the shaft power index in the performance indicators; when the shaft power of each operating condition meets the shaft power requirements (i.e., formula (2)), determining the cavitation margin of each operating condition based on the cavitation amount index in the performance indicators; when the cavitation margin of each operating condition meets the cavitation safety margin requirements (i.e., formula (3)), determining that the performance indicators under multiple operating conditions meet the performance optimization mathematical model. That is, only when the performance indicators of multiple operating conditions corresponding to the candidate impeller hydraulic model simultaneously meet the efficiency requirements, shaft power requirements, and cavitation safety margin requirements can it be determined that the performance optimization mathematical model is met.

[0060] In some embodiments, the high-pressure flushing pump is operated based on the volute flow channel curve and the hydraulic model of the first impeller to determine the performance indicators of the high-pressure flushing pump under multiple operating conditions. This includes: simulating the impeller structure based on the volute flow channel curve and the hydraulic model of the first impeller; controlling the high-pressure flushing pump to operate under the main operating condition based on the simulated impeller structure to obtain the performance indicators of the high-pressure flushing pump under the main operating condition, and determining the main operating condition performance curve of the high-pressure flushing pump under multiple flow rates; converting the main operating condition performance curve into the first operating condition performance curve through speed similarity conversion based on the target speed of the main operating condition and the speed of the first operating condition, where the first operating condition is the operating condition other than the main operating condition among the multiple operating conditions; and determining the performance indicators of the high-pressure flushing pump under the first operating condition based on the first operating condition performance curve, thereby obtaining the performance indicators of the high-pressure flushing pump under multiple operating conditions.

[0061] This embodiment constructs a performance optimization mathematical model for the high-pressure flushing pump in a trailing suction hopper dredger under multiple operating conditions. Based on the main operating parameters of the main operating condition, the impeller's external parameters and target rotational speed under the main operating condition are determined. Candidate impeller hydraulic models are determined based on the external parameters, target rotational speed, and impeller blade profile model. Based on the performance optimization mathematical model, a target impeller hydraulic model is selected from the candidate impeller hydraulic models under multiple operating conditions. This application addresses the multi-condition operation characteristics of the high-pressure flushing pump in a trailing suction hopper dredger, quantitatively considering the efficiency, shaft power, and critical net positive suction head (NPSH) at each operating point, and constructs a performance optimization mathematical model for multi-condition operation. This model can optimize the comprehensive hydraulic performance of the high-pressure flushing pump in a trailing suction hopper dredger and solve significant off-condition vibration or cavitation problems during the construction process of the dredger. This application first determines the candidate impeller hydraulic models under the main operating condition, then operates the impellers corresponding to the candidate impeller hydraulic models under multiple operating conditions, and selects the target impeller hydraulic model that satisfies the performance optimization mathematical model from the candidate impeller hydraulic models. The high-pressure flushing pump impeller designed in this application is applicable to multiple working conditions. Its high-efficiency operating range can cover multiple working conditions of the high-pressure flushing pump and has a high cavitation safety margin, which can improve the economic benefits of dredging projects.

[0062] The following describes the method for determining the impeller hydraulic model provided in this application embodiment through a practical application example. A large trailing suction hopper dredger requires the hydraulic performance of the high-pressure flushing pump to meet the four working conditions listed in Table 2. Based on the weighting coefficients of design scheme A in Table 1 and the working condition parameters and boundary conditions in Table 2, a performance optimization mathematical model of the high-pressure flushing pump in the trailing suction hopper dredger under multiple working conditions is constructed using formulas (1)-(3). The design head (H1 = 100m) and flow rate (Q1 = 2.78m) of the main flushing and scraping working condition are as follows: 3 / s), n can be calculated according to formula (4). 区间 The speed ranges from 390 revolutions per minute (r / min) to 442 r / min. D can be calculated using formula (5). 区间The range is 877mm to 914mm. To improve cavitation performance, D1 is increased to a multiple of 50, i.e., D1 equals 900mm. According to formula (6), n1 equals 408r / min.

[0063] Table 2 Operating parameters and boundary conditions of the high-pressure flushing pump

[0064] After performing performance optimization according to the embodiment corresponding to Figure 1, the parameters (k1, k2, ...) are selected. (k1 = 0.86, k2 = 0.0062, This allows us to obtain the target impeller hydraulic model, as shown in Figure 2, which is a schematic diagram of the blade profile curve corresponding to the target impeller hydraulic model. The numerical calculation results of the performance curves of the high-pressure flushing pump are shown in Figures 3A to 3C, and the numerical simulation calculation data of the operating points are shown in Table 3. All four operating points described in Design Scheme A meet the design requirements.

[0065] Table 3. Numerical simulation results of the high-pressure flushing pump under multiple operating conditions in the embodiments.

[0066] Figure 4 is a schematic diagram of a device for determining an impeller hydraulic model according to an embodiment of this application. As shown in Figure 4, the device 400 may include:

[0067] The optimization model building module 410 is set to build a mathematical model for the performance optimization of the high-pressure flushing pump in a trailing suction hopper dredger under multiple working conditions.

[0068] The impeller parameter determination module 420 is configured to determine the impeller's external parameters and the impeller's target rotational speed under the main working condition based on the main working condition's operating parameters among the multiple working conditions.

[0069] The candidate hydraulic model determination module 430 is configured to determine a candidate impeller hydraulic model based on the external parameters, the target rotational speed, and the impeller blade profile model.

[0070] The target hydraulic model determination module 440 is configured to select a target impeller hydraulic model from candidate impeller hydraulic models under the multiple operating conditions based on the performance optimization mathematical model.

[0071] In some embodiments, the candidate hydraulic model determination module 430 is configured as follows:

[0072] The front and rear cover surfaces of the impeller are determined based on the aforementioned shape parameters and the target rotational speed.

[0073] Based on the aforementioned shape parameters and the aforementioned blade profile model, a candidate blade profile hydraulic model is determined.

[0074] The candidate impeller hydraulic model is obtained by combining the curved surfaces of the front and rear cover plates of the impeller with the profile curves of the candidate blades.

[0075] Optionally, the external parameters include the inlet diameter of the impeller;

[0076] In some embodiments, the impeller parameter determination module 420 is configured to: calculate the speed range of the impeller under the main operating condition based on the specific speed of the impeller and the main operating condition parameters; calculate the suction diameter range of the impeller based on the main operating condition parameters and the speed range; determine the suction diameter of the impeller from the suction diameter range; and calculate the target speed of the impeller under the main operating condition based on the suction diameter and the main operating condition parameters.

[0077] In some embodiments, the apparatus for determining the impeller hydraulic model may further include: a volute flow channel curve generation module;

[0078] The volute flow channel curve generation module is configured to calculate the impeller outer diameter and the impeller blade outlet width based on the impeller suction inlet diameter before selecting the target impeller hydraulic model from the candidate impeller hydraulic models under the multiple operating conditions based on the performance optimization mathematical model; and generate the volute flow channel hydraulic model based on the impeller outer diameter, the blade outlet width, the main operating condition parameters, and the target rotational speed.

[0079] Optionally, the number of candidate impeller hydraulic models can be multiple.

[0080] In some embodiments, the target hydraulic model determination module 440 is configured to: for a first impeller hydraulic model among multiple candidate impeller hydraulic models, run the high-pressure flushing pump based on the volute flow channel curve and the first impeller hydraulic model to determine the performance indicators of the high-pressure flushing pump under multiple operating conditions; determine whether the performance indicators under multiple operating conditions satisfy the performance optimization mathematical model; in response to the performance indicators under multiple operating conditions satisfying the performance optimization mathematical model, determine the first impeller hydraulic model as the target impeller hydraulic model; and traverse each candidate impeller hydraulic model among the multiple candidate impeller hydraulic models to obtain the target impeller hydraulic model.

[0081] Optionally, the performance optimization mathematical model includes efficiency requirements, shaft power requirements, and cavitation safety margin requirements.

[0082] In some embodiments, the target hydraulic model determination module 440 may include a performance judgment unit and a performance determination unit;

[0083] The aforementioned performance judgment unit is configured to: determine the operating efficiency of each operating condition and the weighted efficiency of the multiple operating conditions based on the efficiency index among the performance indicators; when both the operating efficiency and the weighted efficiency meet the efficiency requirements, determine the shaft power of each operating condition based on the shaft power index among the performance indicators; when the shaft power of each operating condition meets the shaft power requirements, determine the net positive suction head (NPSH) of each operating condition based on the cavitation margin index among the performance indicators; and when the NPSH of each operating condition meets the cavitation safety margin requirements, determine that the performance indicators under the multiple operating conditions satisfy the performance optimization mathematical model.

[0084] The aforementioned performance determination unit is configured to: simulate the impeller structure based on the volute flow channel curve and the first impeller hydraulic model; control the high-pressure flushing pump to operate under the main operating condition based on the impeller structure, obtain the performance index of the high-pressure flushing pump under the main operating condition, and determine the main operating condition performance curve of the high-pressure flushing pump under multiple flow rates; convert the main operating condition performance curve into a first operating condition performance curve based on the target speed of the main operating condition and the speed of the first operating condition, wherein the first operating condition is an operating condition other than the main operating condition among the multiple operating conditions; determine the performance index of the high-pressure flushing pump under the first operating condition based on the first operating condition performance curve, thereby obtaining the performance index of the high-pressure flushing pump under the multiple operating conditions.

[0085] The apparatus for determining the impeller hydraulic model provided in this embodiment can be applied to the method for determining the impeller hydraulic model provided in any of the above embodiments, and has the corresponding functions and beneficial effects.

[0086] Figure 5 is a block diagram of an electronic device used to implement a method for determining a turbine hydraulic model according to an embodiment of this application. The electronic device 10 represents various forms of digital computers, such as laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are illustrative.

[0087] As shown in Figure 5, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0088] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0089] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, for example, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the method for determining a turbine hydraulic model.

[0090] In some embodiments, the method for determining the turbine hydraulic model may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for determining the turbine hydraulic model described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the method for determining the turbine hydraulic model by any other suitable means (e.g., by means of firmware).

[0091] 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 (FPGAs), application-specific integrated circuits (ASICs), application-specific standard parts (ASSPs), systems-on-chip (SoCs), complex programmable logic devices (CPLDs), 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.

[0092] Computer programs used to implement the methods of this application 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.

[0093] In the context of this application, 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 electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. Examples of machine-readable storage media may include electrical connections based on one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, compact disc-read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0094] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a cathode ray tube (CRT), liquid crystal display (LCD), or monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the 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).

[0095] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), 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.

[0096] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. 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, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system. It addresses the shortcomings of traditional physical hosts and Virtual Private Server (VPS) services, such as high management difficulty and weak business scalability.

[0097] Those skilled in the art can use the various forms of processes shown above to reorder, add, or delete steps; multiple steps described in this application can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this application can be achieved.

Claims

1. A method for determining a turbine hydraulic model, comprising: Construct a mathematical model for performance optimization of the high-pressure flushing pump in a trailing suction hopper dredger under multiple operating conditions; The external parameters of the impeller of the high-pressure flushing pump and the target rotational speed of the impeller under the main operating condition are determined based on the main operating parameters of the main operating condition among the multiple operating conditions. Candidate impeller hydraulic models are determined based on the external parameters, the target rotational speed, and the impeller blade profile model. Based on the performance optimization mathematical model, the target impeller hydraulic model is selected from the candidate impeller hydraulic models under the multiple operating conditions.

2. The method for determining the impeller hydraulic model according to claim 1, wherein, The step of determining the candidate impeller hydraulic model based on the external parameters, the target rotational speed, and the impeller blade profile model includes: The front and rear cover surfaces of the impeller are determined based on the aforementioned shape parameters and the target rotational speed. Candidate blade profile curves are determined based on the aforementioned shape parameters and the blade profile model. The candidate impeller hydraulic model is obtained by combining the curved surfaces of the front and rear cover plates of the impeller with the profile curves of the candidate blades.

3. The method for determining the impeller hydraulic model according to claim 1, wherein, The external parameters include the diameter of the impeller's suction port; The step of determining the impeller's external parameters and the impeller's target rotational speed under the main operating condition based on the main operating parameters of the main operating condition among the multiple operating conditions includes: The impeller speed range under the main operating condition is calculated based on the impeller specific speed and the main operating parameters. The impeller inlet diameter range is calculated based on the main operating parameters and the speed range. The inlet diameter of the impeller is determined from the range of inlet diameters. The target rotational speed of the impeller under the main operating condition is calculated based on the inlet diameter and the main operating parameters.

4. The method for determining the impeller hydraulic model according to claim 3, before selecting the target impeller hydraulic model from the candidate impeller hydraulic models under the multiple operating conditions based on the performance optimization mathematical model, the method further includes: Calculate the outer diameter of the impeller and the blade outlet width of the impeller based on the inlet diameter of the impeller; The volute flow channel curve is generated based on the impeller outer diameter, the blade outlet width, the main operating parameters, and the target rotational speed.

5. The method for determining the impeller hydraulic model according to claim 4, wherein, The number of candidate impeller hydraulic models is multiple; the selection of the target impeller hydraulic model from the candidate impeller hydraulic models based on the performance optimization mathematical model under the multiple operating conditions includes: For the first impeller hydraulic model among multiple candidate impeller hydraulic models, the high-pressure flushing pump is run based on the volute flow channel curve and the first impeller hydraulic model to determine the performance indicators of the high-pressure flushing pump under multiple operating conditions. Determine whether the performance indicators under the multiple operating conditions meet the performance optimization mathematical model; In response to the performance indicators under the multiple operating conditions satisfying the performance optimization mathematical model, the first impeller hydraulic model is determined as the target impeller hydraulic model; The target impeller hydraulic model is obtained by iterating through each of the multiple candidate impeller hydraulic models.

6. The method for determining the impeller hydraulic model according to claim 5, wherein, The performance optimization mathematical model includes efficiency requirements, shaft power requirements, and cavitation safety margin requirements. Determining whether the performance indicators under the multiple operating conditions satisfy the performance optimization mathematical model includes: The operating efficiency of each working condition and the weighted efficiency of the multiple working conditions are determined based on the efficiency index among the performance indicators. In response to the fact that both the operating efficiency and the weighted efficiency meet the efficiency requirements, the shaft power for each operating condition is determined based on the shaft power index in the performance indicators. In response to the shaft power meeting the shaft power requirement for each operating condition, the net positive suction head (NPSH) for each operating condition is determined based on the NPSH index in the performance indicators. In response to the fact that the net positive suction head (NPSH) for each operating condition meets the NPSH safety margin requirement, the performance indicators under the multiple operating conditions are determined to satisfy the performance optimization mathematical model.

7. The method for determining the impeller hydraulic model according to claim 5, wherein, The high-pressure flushing pump is operated based on the volute flow channel curve and the first impeller hydraulic model to determine the performance indicators of the high-pressure flushing pump under multiple operating conditions, including: The impeller structure was simulated based on the volute flow channel curve and the first impeller hydraulic model. The high-pressure flushing pump is controlled to operate under the main operating condition based on the impeller structure, and the performance index of the high-pressure flushing pump under the main operating condition is obtained, and the main operating condition performance curve of the high-pressure flushing pump under multiple flow rates is determined. Based on the target speed of the main operating condition and the speed of the first operating condition, the performance curve of the main operating condition is converted into the performance curve of the first operating condition, wherein the first operating condition is an operating condition other than the main operating condition among the plurality of operating conditions; Based on the performance curve of the first operating condition, the performance index of the high-pressure flushing pump under the first operating condition is determined, thereby obtaining the performance index of the high-pressure flushing pump under the multiple operating conditions.

8. A device for determining a turbine hydraulic model, comprising: The model building module was optimized to construct a mathematical model for the performance optimization of the high-pressure flushing pump in a trailing suction hopper dredger under multiple operating conditions. The impeller parameter determination module is configured to determine the impeller's external parameters and the impeller's target rotational speed under the main operating condition based on the main operating parameters of the main operating condition among the multiple operating conditions. The candidate hydraulic model determination module is configured to determine candidate impeller hydraulic models based on the external parameters, the target rotational speed, and the impeller blade profile model. The target hydraulic model determination module is configured to select a target impeller hydraulic model from the candidate impeller hydraulic models under the multiple operating conditions based on the performance optimization mathematical model.

9. An electronic device, comprising: At least one processor; and a memory communicatively connected to the at least one processor; The memory stores a computer program that is executed by the at least one processor, which enables the at least one processor to perform the method for determining the turbine hydraulic model according to any one of claims 1 to 7.

10. A computer-readable storage medium storing computer instructions for causing a processor to execute the method for determining the turbine hydraulic model according to any one of claims 1 to 7.

11. A computer program product comprising a computer program that, when executed by a processor, implements the method for determining a turbine hydraulic model according to any one of claims 1 to 7.

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