Electronic pump intelligent frequency conversion speed regulation system and method

By using intelligent variable frequency speed control, the control information of the electronic pump is acquired and analyzed to generate precise control signals, thus solving the problem of the response speed and accuracy limitations of the electronic pump system and improving energy efficiency and stability.

CN121664069APending Publication Date: 2026-03-13UNIV OF SHANGHAI FOR SCI & TECH +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-22
Publication Date
2026-03-13

AI Technical Summary

Technical Problem

Existing electronic pump frequency conversion speed control systems have limitations in response speed and accuracy, making it difficult to meet high-frequency response requirements. Furthermore, signal transmission is lagging, affecting energy efficiency and stability.

Method used

The intelligent variable frequency speed regulation method is adopted. By acquiring target control object information and system acquisition information, performing analysis and calculation, and using target control mode information to generate target control signal, the precise speed regulation of the electronic pump is realized.

Benefits of technology

Breaking through the limitations of response speed and accuracy, improving the intelligent speed regulation accuracy of electronic pumps, and achieving a dual improvement in energy efficiency and stability.

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Abstract

The invention discloses an electronic pump intelligent frequency conversion speed regulation system and method. The method comprises the steps that target control object information and system collection information are obtained; the system acquisition information comprises control object acquisition information and control signal acquisition information; analyzing and processing the target control object information and the system acquisition information to obtain basic analysis signal information and target control mode information; the basic analysis signal information comprises first analysis signal information and second analysis signal information; and analyzing and calculating the basic analysis signal information and the control signal acquisition information by using the target control mode information to obtain target control signal information.
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Description

Technical Field

[0001] This invention relates to the field of electronic pump technology, and in particular to an intelligent variable frequency speed control system and method for electronic pumps. Background Technology

[0002] With the rapid development of industrial automation and energy-saving technologies, variable frequency speed control has become a core method in the field of electronic pump control. Traditional variable frequency speed control systems adjust the pump speed by changing the motor input frequency, achieving dynamic matching of flow and pressure, and significantly reducing energy consumption. However, existing technologies still suffer from the problem that conventional variable frequency systems rely on indirect valve control or mechanical transmission mechanisms, resulting in signal transmission lag and difficulty in meeting the needs of high-frequency response scenarios. Therefore, this paper provides an intelligent variable frequency speed control system and method for electronic pumps to overcome the limitations of response speed and accuracy, improve the intelligent speed control accuracy of electronic pumps, and achieve a dual improvement in energy efficiency and stability. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an intelligent variable frequency speed control system and method for electronic pumps, which is conducive to breaking through the limitations of response speed and accuracy, improving the intelligent speed control accuracy of electronic pumps, and achieving a dual improvement in energy efficiency and stability.

[0004] To address the aforementioned technical problems, a first aspect of the present invention discloses a method for intelligent variable frequency speed control of an electronic pump, the method comprising: Acquire target control object information and system acquisition information; the system acquisition information includes control object acquisition information and control signal acquisition information. The target control object information and the system-acquired information are analyzed and processed to obtain basic analysis signal information and target control mode information; the basic analysis signal information includes first analysis signal information and second analysis signal information. The target control signal information is obtained by analyzing and calculating the basic analysis signal information and the control signal acquisition information using the target control method information.

[0005] The second aspect of this invention discloses an intelligent variable frequency speed control system for an electronic pump, the system comprising: The acquisition module is used to acquire target control object information and system acquisition information; the system acquisition information includes control object acquisition information and control signal acquisition information. The first processing module is used to analyze and process the target control object information and the system acquisition information to obtain basic analysis signal information and target control mode information; the basic analysis signal information includes first analysis signal information and second analysis signal information. The second processing module is used to analyze and calculate the basic analysis signal information and the control signal acquisition information using the target control mode information to obtain the target control signal information.

[0006] A third aspect of this invention discloses another intelligent variable frequency speed control system for electronic pumps, the system comprising: Memory containing executable program code; A processor coupled to memory; The processor calls the executable program code stored in the memory to execute some or all of the steps in the intelligent variable frequency speed control method for electronic pumps disclosed in the first aspect of the present invention.

[0007] The fourth aspect of the present invention discloses a computer-readable storage medium storing computer instructions, which, when invoked, are used to execute some or all of the steps in the intelligent variable frequency speed control method for electronic pumps disclosed in the first aspect of the present invention. Attached Figure Description

[0008] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0009] Figure 1 This is a schematic diagram of a scenario for the intelligent variable frequency speed control system for electronic pumps provided in an embodiment of the present invention; Figure 2 This is a flowchart illustrating an intelligent variable frequency speed control method for an electronic pump disclosed in an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of an intelligent variable frequency speed control system for an electronic pump disclosed in an embodiment of the present invention; Figure 4 This is a schematic diagram of another intelligent variable frequency speed control system for electronic pumps disclosed in an embodiment of the present invention. Detailed Implementation

[0010] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0011] It should be noted that the terminology used in the embodiments of this application is for the purpose of describing specific embodiments only and is not intended to limit the application. The singular forms "a," "the," and "the" used in the embodiments of this application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise.

[0012] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0013] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase 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.

[0014] In this application, the term "exemplary" is used to mean "used as an example, illustration, or description." Any embodiment described as "exemplary" in this application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is provided to enable any person skilled in the art to make and use this application. Details are set forth in the following description for purposes of explanation. It should be understood that those skilled in the art will recognize that this application can be made without using these specific details. In other instances, well-known structures and processes are not described in detail to avoid obscuring the description of this application with unnecessary detail. Therefore, this application is not intended to be limited to the embodiments shown, but is consistent with the broadest scope of the principles and features disclosed in this application.

[0015] It should be noted that the term "and / or" used in this application is merely a description of the same field in the related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship.

[0016] It should be noted that, depending on the context, the word "if" as used herein can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0017] It should be noted that in the description of this application, the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", and "outer" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the system or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.

[0018] It should be noted that the phrase "within the range" used in this application, unless otherwise specified, includes both endpoints of the range by default. For example, in the range of 1 to 5, it includes the values ​​1 and 5.

[0019] It should be noted that since the method in this application embodiment is executed in a computer device, the processing objects of each computer device exist in the form of data or information, such as time, which is essentially time information. It is understood that if size, quantity, position, etc. are mentioned in subsequent embodiments, they are all corresponding data that exist so that the computer device can process them. Specific details will not be elaborated here.

[0020] It should be noted that the artificial intelligence-related technologies that may be involved in this application will be briefly described. Artificial intelligence (AI) is the theory, method, technology, and application system that uses digital computers or machines controlled by digital computers to simulate, extend, and expand human intelligence, perceive the environment, acquire knowledge, and use that knowledge to obtain optimal results. In other words, artificial intelligence is a comprehensive technology in computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can react in a way similar to human intelligence. Artificial intelligence is the study of the design principles and implementation methods of various intelligent machines, enabling machines to have the functions of perception, reasoning, and decision-making.

[0021] Artificial intelligence (AI) is a comprehensive discipline encompassing a wide range of fields, including both hardware and software technologies. Fundamental AI technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, big data processing, operating / interactive systems, and mechatronics. AI software technologies primarily include computer vision, speech processing, natural language processing, and machine learning / deep learning.

[0022] Computer vision (CV) is a science that studies how to enable machines to "see." More specifically, it refers to machine vision, which uses cameras and computers to replace human eyes in recognizing and measuring targets, and then performs image processing to create images more suitable for human observation or transmission to instruments. As a scientific discipline, computer vision studies related theories and technologies, attempting to build artificial intelligence systems capable of extracting information from images or multidimensional data. Computer vision technologies typically include image processing, image recognition, image semantic understanding, image retrieval, OCR, video processing, video semantic understanding, video content / behavior recognition, 3D object reconstruction, 3D technology, virtual reality, augmented reality, simultaneous localization and mapping (SLAM), and common biometric recognition technologies such as facial recognition and fingerprint recognition.

[0023] Monomodal information refers to data of only one type, such as text, images, audio, video, or electromagnetic signals. Multimodal information refers to data that includes at least two types of monomodal information. Furthermore, multimodal information is suitable for complex tasks that require the integration of multiple information sources, such as sentiment analysis, robot interaction, and autonomous driving. By integrating information from multiple modalities, higher performance and accuracy can usually be achieved in these tasks.

[0024] Large models refer to artificial neural network models with a very large number of parameters. In the field of artificial intelligence, large models typically refer to models with hundreds of millions to trillions of parameters. These models usually need to be trained on large-scale datasets and require a significant amount of computing resources for optimization and tuning. Large models are commonly used to solve complex tasks such as natural language processing, computer vision, and speech recognition. Generative AI is a type of AI that can create new content and ideas, including dialogues, stories, images, videos, and music. In this embodiment, the large model can be a large-scale pre-trained model such as the ChatGPT series, BERT, XLNet, Zhipu model, Claude, Moonshot AI model, ChatGLM model, Tongwen Qianyi model, MiniMax model, Xinghuo model, Llama model, 360GPT model, Qwen model, Baichuan model, Yunque model, vivoLM model, deepseek, Tencent Yuanbao, and Wenxin Yiyan, etc., and this embodiment does not limit the scope of the large model.

[0025] This application provides an intelligent variable frequency speed control method, system, computer device, and computer-readable storage medium for an electronic pump, which will be described in detail below.

[0026] Please see Figure 1 , Figure 1 This is a schematic diagram of a scenario for an intelligent variable frequency speed control system for an electronic pump provided in an embodiment of this application. The intelligent variable frequency speed control system for the electronic pump may include a computer device 100, which integrates the intelligent variable frequency speed control system for the electronic pump. Figure 1 Computer equipment in the country.

[0027] In this embodiment, the computer device 100 is mainly used to acquire target control object information and system acquisition information; the system acquisition information includes control object acquisition information and control signal acquisition information; the target control object information and the system acquisition information are analyzed and processed to obtain basic analysis signal information and target control mode information; the basic analysis signal information includes first analysis signal information and second analysis signal information; the target control mode information is used to analyze and calculate the basic analysis signal information and the control signal acquisition information to obtain target control signal information.

[0028] It can overcome the limitations of response speed and accuracy, improve the intelligent speed regulation accuracy of electronic pumps, and achieve a dual improvement in energy efficiency and stability.

[0029] In this embodiment, the computer device 100 can be a standalone server, a server network, or a server cluster. For example, the computer device 100 described in this embodiment includes, but is not limited to, a computer, a network host, a single network server, a set of multiple network servers, or a cloud server composed of multiple servers. The cloud server is composed of a large number of computers or network servers based on cloud computing.

[0030] It is understood that the computer device 100 used in the embodiments of this application can be a device that includes both receiving and transmitting hardware, that is, a device having receiving and transmitting hardware capable of performing bidirectional communication on a bidirectional communication link. Such a device may include: cellular or other communication devices having a single-line display, a multi-line display, or a cellular or other communication device without a multi-line display. Specifically, the computer device 100 may be a desktop terminal or a mobile terminal, and may also be one of a mobile phone, tablet computer, laptop computer, etc.

[0031] Those skilled in the art will understand that Figure 1 The application environment shown is merely one application scenario of the solution in this application and does not constitute a limitation on the application scenario of the solution in this application. Other application environments may include those that are more specific to this application. Figure 1 The number of computer devices shown is more or less, for example Figure 1 Only one computer device is shown in the diagram. It is understood that the electronic pump intelligent variable frequency speed control system may also include one or more other services, which are not limited here.

[0032] In addition, such as Figure 1 As shown, the electronic pump intelligent variable frequency speed control system may also include a memory 200 for storing data, such as image data and location information.

[0033] It should be noted that, Figure 1 The schematic diagram of the electronic pump intelligent variable frequency speed control system shown is merely an example. The electronic pump intelligent variable frequency speed control system and scenario described in the embodiments of this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided in the embodiments of this application. As those skilled in the art will know, with the evolution of the electronic pump intelligent variable frequency speed control system and the emergence of new business scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0034] This invention discloses an intelligent variable frequency speed control system and method for electronic pumps, which helps to overcome the limitations of response speed and accuracy, improve the intelligent speed control accuracy of electronic pumps, and achieve a dual improvement in energy efficiency and stability. These will be described in detail below.

[0035] Example 1 Please see Figure 2 , Figure 2 This is a flowchart illustrating an intelligent variable frequency speed control method for an electronic pump disclosed in an embodiment of the present invention. Figure 2 The described intelligent variable frequency speed control method for electronic pumps is applied in management systems, such as local servers or cloud servers for management, and this embodiment of the invention is not limited thereto. Figure 2 As shown, the intelligent variable frequency speed control method for the electronic pump may include the following operations: 101. Obtain information about the target controlled object and information collected by the system.

[0036] In this embodiment of the invention, the information collected by the system includes information collected on the controlled object and information collected on the control signal.

[0037] 102. Analyze and process the target control object information and system acquisition information to obtain basic analysis signal information and target control mode information.

[0038] In this embodiment of the invention, the basic analysis signal information includes first analysis signal information and second analysis signal information.

[0039] 103. Analyze and process the basic analysis signal information and control signal acquisition information using the target control method information to obtain the target control signal information.

[0040] It should be noted that the aforementioned target control signal information is used to adjust the speed of the electronic pump, and this embodiment of the invention does not limit this.

[0041] It should be noted that the above-mentioned target control object information represents the desired control target of the control object of the actuator, such as the desired displacement of the hydraulic cylinder, and the embodiments of the present invention are not limited thereto.

[0042] It should be noted that the information collected by the controlled object described above represents the actual control status of the controlled object of the actuator, such as the actual displacement of the hydraulic cylinder, and this embodiment of the present invention does not limit it.

[0043] It should be noted that the above-mentioned control signal acquisition information represents the control signal before signal amplification in the previous control cycle. It is used to correct the signal in the current control cycle to improve control accuracy. This embodiment of the invention does not limit this.

[0044] It is evident that implementing the intelligent variable frequency speed control method for electronic pumps described in the embodiments of the present invention is beneficial for overcoming the limitations of response speed and accuracy, improving the intelligent speed control accuracy of electronic pumps, and achieving a dual improvement in energy efficiency and stability.

[0045] In an optional embodiment, the above-described analysis and processing of the target control object information and system acquisition information to obtain basic analysis signal information and target control method information includes: The target control object information and the control object acquisition information in the system acquisition information are weighted and summed to obtain the first analysis signal information in the basic analysis signal information. The first analytical signal information is differentiated to obtain the second analytical signal information from the basic analytical signal information; Based on the first analysis signal information in the basic analysis signal information, the target control mode information is determined.

[0046] It should be noted that the above-mentioned weighted summation of the target control object information and the control object acquisition information in the system acquisition information is to subtract the value corresponding to the control object acquisition information in the system acquisition information from the value corresponding to the target control object information, so as to obtain the difference between the expected control target and the actual displacement of the hydraulic actuator, thereby facilitating the adjustment of the speed of the electronic pump. This embodiment of the present invention does not limit this.

[0047] It should be noted that the above-mentioned differential processing of the first analysis signal information is to perform differential calculation on the first analysis signal information and the historical analysis signal information to obtain the second analysis signal information of the displacement difference corresponding to the current period. This embodiment of the invention does not limit this.

[0048] It is evident that implementing the intelligent variable frequency speed control method for electronic pumps described in the embodiments of the present invention is beneficial for overcoming the limitations of response speed and accuracy, improving the intelligent speed control accuracy of electronic pumps, and achieving a dual improvement in energy efficiency and stability.

[0049] In another optional embodiment, the target control method information is determined based on the first analysis signal information in the basic analysis signal information, including: Obtain the control threshold; Determine whether the signal value corresponding to the first analysis signal information in the basic analysis signal information is greater than or equal to the control threshold, and obtain the first judgment result; When the first judgment result is yes, the first control mode is determined to be the target control mode information; If the first judgment result is negative, the second control method is determined to be the target control method information.

[0050] It should be noted that the above-mentioned target control method information includes a first control method and a second control method. Furthermore, the reason for adopting two control methods in this application is that the first control method is used when the difference between the expected displacement and the actual displacement is relatively large, while the second control method is used when the displacement difference is small. This is to use a large rotation speed when using the first control method to quickly move the actuator to reduce the gap between the actual displacement and the expected displacement as soon as possible. Then, when approaching the expected displacement, the second control method is switched to ensure the accuracy of the end control, thereby achieving an effective combination of high response speed and high precision, improving the control response speed and precision of the system, and effectively improving the system control performance. This embodiment of the invention is not limited.

[0051] It should be noted that the aforementioned control threshold can be set by the user or obtained by analyzing historical control thresholds using a large model. Its value ranges from 0 to the displacement stroke of the actuator, and this embodiment of the invention does not impose any limitations. Furthermore, the direct comparison between the signal value corresponding to the first analysis signal information and the control threshold is mainly based on the consideration that displacement is the final control target. Therefore, the direct difference between the expected displacement and the actual displacement is used for comparison. This not only directly reflects the actual control needs of the control target but also provides a simple judgment method, thereby achieving efficient and accurate selection of control methods and improving response speed. The control accuracy is guaranteed by the specific control method, realizing the dual control effectiveness of phased decision-making and phased control, which can effectively guarantee the system response speed and control accuracy. This embodiment of the invention does not impose any limitations.

[0052] It is evident that implementing the intelligent variable frequency speed control method for electronic pumps described in the embodiments of the present invention is beneficial for overcoming the limitations of response speed and accuracy, improving the intelligent speed control accuracy of electronic pumps, and achieving a dual improvement in energy efficiency and stability.

[0053] In another optional embodiment, the target control method information is used to analyze and process the basic analysis signal information and the control signal acquisition information to obtain the target control signal information, including: When the target control mode information is the first control mode, the basic analysis signal information is inferred and analyzed to obtain the target control signal information; When the target control mode information is the second control mode, the target control signal information is determined based on the basic analysis signal information and the control signal acquisition information.

[0054] It should be noted that the first control method described above is used for rapid adjustment of the actuator to improve the response speed of the entire control process, shorten the response time from the actual displacement of the actuator to the desired displacement, and improve control efficiency. Furthermore, to avoid oscillations that may occur during the rapid control process from the actual displacement to the desired displacement (oscillations can cause repeated impacts on the actuator, reducing control accuracy, which is one of the difficulties in current high-precision control), the system switches to the second control method at the end, i.e., adopts a more refined control process. Since the first control method used in the first stage has already rapidly shortened the required control displacement, only high-precision control of small displacements is required in the second stage. This ensures control accuracy while also minimizing the time consumed, thus balancing response speed and control accuracy. This achieves high-precision and fast-response intelligent control of the electronic pump speed regulation control. This embodiment of the invention is not limited to this.

[0055] It is evident that implementing the intelligent variable frequency speed control method for electronic pumps described in the embodiments of the present invention is beneficial for overcoming the limitations of response speed and accuracy, improving the intelligent speed control accuracy of electronic pumps, and achieving a dual improvement in energy efficiency and stability.

[0056] In another optional embodiment, reasoning analysis is performed on the basic analysis signal information to obtain target control signal information, including: Obtain fuzzy reasoning information; Fuzzy inference information is used to perform fuzzy inference processing on the basic analysis signal information to obtain the first inference signal information; The first inference signal information is corrected to obtain the target control signal information.

[0057] It should be noted that the above-mentioned reasoning analysis of the basic analysis signal information to obtain the target control signal information is achieved by using fuzzy inference information to quickly fuzzily derive the first and second analysis signals in the input basic analysis signal information. This allows for rapid output of the control signal based on rules derived from historical data, ensuring the effectiveness of the control signal generation. Furthermore, the efficiency of the fuzzy inference process guarantees the response speed. The fuzzy inference information can be constructed based on a 7-level fuzzy subset, and its function can be a Gaussian function. The constructed fuzzy subset can be negative large, negative medium, negative small, zero, positive small, positive medium, and positive large. The universe of discourse for the two input signals can be [-0.5, 0.5], [-0.06, 0.06], and [-1.6, 1.6]. This embodiment of the invention does not impose any limitations on these dimensions.

[0058] It should be noted that the above-mentioned correction processing of the first inference signal information is to amplify the signal by using the gain coefficient required by the electronic pump speed control itself. This is because the control signal parameters obtained by the controller are relatively small, while the actual physical system control of the electronic pump speed requires larger signal parameters. Therefore, the signal is amplified to generate reasonable control parameters. This embodiment of the invention does not limit this process.

[0059] It is evident that implementing the intelligent variable frequency speed control method for electronic pumps described in the embodiments of the present invention is beneficial for overcoming the limitations of response speed and accuracy, improving the intelligent speed control accuracy of electronic pumps, and achieving a dual improvement in energy efficiency and stability.

[0060] In an optional embodiment, the target control signal information is determined based on the basic analysis signal information and the control signal acquisition information, including: Based on the second analysis signal information and control signal acquisition information in the basic analysis signal information, the target control parameter information is determined; the target control parameter information includes the first control parameter, the second control parameter, and the third control parameter. Based on the target control parameter information, the first analysis signal information from the basic analysis signal information, and the control signal acquisition information, the target control signal information is determined.

[0061] It should be noted that the above-mentioned determination of the target control signal information based on the basic analysis signal information and control signal acquisition information is achieved by first using model parameter inference based on the multi-dimensional feedback signals of the system (current expected control displacement, actual control displacement of the previous control cycle, actual control signal of the previous cycle, etc.) to determine the control signal in real time by updating the model parameters. This method can realize fast and high-precision electronic pump speed control, which is beneficial to improving the control accuracy and control efficiency of the intelligent control system based on electronic pump. This embodiment of the invention does not limit the scope of the invention.

[0062] In this optional embodiment, as an optional control method, the target control parameter information is determined based on the second analysis signal information and the control signal acquisition information in the basic analysis signal information, including: Obtain weight parameter information; the weight parameter information includes a first weight value set, a second weight set, and a third weight set; the first weight set includes several first sub-weight values; the second weight set includes several second sub-weight values; the third weight set includes several third sub-weight values; The target control parameter information is obtained by using the second signal calculation model to calculate and process the weight parameter information, the second analysis signal information in the basic analysis signal information, and the control signal acquisition information. The calculation model for the second signal is as follows: ; In the formula, ; characterizing the first One control parameter; Characterizes the second analytical signal information in the basic analytical signal information; Characterizes the information acquired by the control signal; The table below, representing the first weight set, is numbered as follows: The first sub-weight value; The table below, representing the second weight set, is numbered as follows: The second sub-weight value; The table below, representing the first weight set, is numbered as follows: The first sub-weight value.

[0063] It should be noted that the third sub-weight value mentioned above is not limited to a value between [0,1] in this embodiment of the invention.

[0064] It should be noted that the first sub-weight value mentioned above is not limited to a value between [1, 10] in this embodiment of the invention.

[0065] It should be noted that the second sub-weight value mentioned above is not limited to a value between [1, 5] in this embodiment of the invention.

[0066] It should be noted that the above , , , 、 and The quantities used to characterize intermediate computational processes are not limited in this embodiment of the invention. Furthermore, The numerical value of the serial number is not limited in this embodiment of the invention. Furthermore, N is a positive integer between [3, 10], such as 3, 4, 5, 6, 7, 8, 9, 10, which is not limited in this embodiment of the invention.

[0067] It should be noted that the above-mentioned calculation and processing of the weight parameter information, the second analysis signal information in the basic analysis signal information, and the control signal acquisition information using the second signal calculation model to obtain the target control parameter information is achieved through the deep fusion of fuzzy logic control and multi-weighted calculation. This fusion mechanism endows the control system with dual characteristics, so as to significantly improve the adaptability and robustness of the control algorithm to strongly nonlinear and time-varying objects by utilizing the synergy of the two methods. This improves the ability to dynamically adjust the model parameters nonlinearly using multi-dimensional signals, so as to improve the ability of the first signal calculation model to generate control signals for nonlinear time-varying objects, thereby improving the control accuracy. This embodiment of the invention is not limited.

[0068] It is evident that implementing the intelligent variable frequency speed control method for electronic pumps described in the embodiments of the present invention is beneficial for overcoming the limitations of response speed and accuracy, improving the intelligent speed control accuracy of electronic pumps, and achieving a dual improvement in energy efficiency and stability.

[0069] In another optional embodiment, based on the target control parameter information, the first analysis signal information in the basic analysis signal information, and the control signal acquisition information, the target control signal information is determined, including: Acquire historical analysis signal information; the historical analysis signal includes first historical analysis signal and second historical analysis signal information; The target control signal information is determined by using the first signal calculation model to calculate and process the target control parameter information, the first analysis signal information in the basic analysis signal information, and the historical analysis signal information, so as to obtain the first control signal information. The calculation model for the first signal is as follows: A=s1·(X1-X2)+ s2·X1+ s3·(X1-2·X2+X3); In the formula, A represents the first control signal information; s1, s2 and s3 represent the first control parameter, the second control parameter and the third control parameter, respectively; X1, X2 and X3 represent the first analysis signal information, the first historical analysis signal and the second historical analysis signal information, respectively. The second control signal information is obtained by summing the first control signal information and the control signal acquisition information. The second control signal information is amplified to obtain the target control signal information.

[0070] It should be noted that the aforementioned first historical analysis signal and second historical analysis signal information respectively represent the first analysis signal information corresponding to the previous control cycle and the control cycle before that, and this embodiment of the invention does not limit this. Furthermore, when calculating the control signal using the first signal calculation model, utilizing the signal difference between the previous two control cycles (s3·(X1-2·X2+X3)) can reduce the accumulation of historical errors. Furthermore, in the first signal calculation model, the signal parameters of the current cycle (s2·X1) are also used separately. This is to maintain independent control of the current control expectation and system feedback parameters, avoiding the accumulation and saturation of control quantities due to long-term deviations. Simultaneously, to strengthen the correlation with the previous control cycle and enhance the robustness of the control process, the signal difference of the current cycle is also correlated with the previous control cycle (s1·(X1-X2)), thereby reducing control quantity fluctuations and improving control stability. This embodiment of the invention does not limit this.

[0071] Furthermore, the first control signal information calculated by the first signal calculation model represents the control signal variable situation that needs to be adjusted in the current control cycle. Therefore, the control signal of the current control cycle needs to be generated based on the actual control signal information of the previous control cycle (i.e., control signal acquisition information). Thus, it is necessary to sum the first control signal information and the control signal acquisition information. Furthermore, since the generated control signal needs to conform to the control parameters of the actual physical system, it is also necessary to amplify the second control signal information to obtain the real target control signal information. This embodiment of the invention does not limit this.

[0072] It is evident that implementing the intelligent variable frequency speed control method for electronic pumps described in the embodiments of the present invention is beneficial for overcoming the limitations of response speed and accuracy, improving the intelligent speed control accuracy of electronic pumps, and achieving a dual improvement in energy efficiency and stability.

[0073] Example 2 Please see Figure 3 , Figure 3 This is a schematic diagram of the structure of an intelligent variable frequency speed control system for an electronic pump disclosed in an embodiment of the present invention. Wherein, Figure 3 The described system can be applied to management systems, such as local servers or cloud servers, and this invention does not limit its application. Figure 3 As shown, the system may include: The acquisition module 201 is used to acquire target control object information and system acquisition information; the system acquisition information includes control object acquisition information and control signal acquisition information. The first processing module 202 is used to analyze and process the target control object information and the system acquisition information to obtain basic analysis signal information and target control mode information; the basic analysis signal information includes first analysis signal information and second analysis signal information. The second processing module 203 is used to analyze and process the basic analysis signal information and control signal acquisition information using the target control mode information to obtain the target control signal information.

[0074] It is evident that implementation Figure 3 The described intelligent variable frequency speed control system for electronic pumps helps to overcome the limitations of response speed and accuracy, improve the accuracy of intelligent speed control of electronic pumps, and achieve a dual improvement in energy efficiency and stability.

[0075] In another alternative embodiment, such as Figure 3 As shown, the target control object information and system acquisition information are analyzed and processed to obtain basic analysis signal information and target control mode information, including: The target control object information and the control object acquisition information in the system acquisition information are weighted and summed to obtain the first analysis signal information in the basic analysis signal information. The first analytical signal information is differentiated to obtain the second analytical signal information from the basic analytical signal information; Based on the first analysis signal information in the basic analysis signal information, the target control mode information is determined.

[0076] It is evident that implementation Figure 3 The described intelligent variable frequency speed control system for electronic pumps helps to overcome the limitations of response speed and accuracy, improve the accuracy of intelligent speed control of electronic pumps, and achieve a dual improvement in energy efficiency and stability.

[0077] In yet another alternative embodiment, such as Figure 3 As shown, based on the first analysis signal information in the basic analysis signal information, the target control mode information is determined, including: Obtain the control threshold; Determine whether the signal value corresponding to the first analysis signal information in the basic analysis signal information is greater than or equal to the control threshold, and obtain the first judgment result; When the first judgment result is yes, the first control mode is determined to be the target control mode information; If the first judgment result is negative, the second control method is determined to be the target control method information.

[0078] It is evident that implementation Figure 3 The described intelligent variable frequency speed control system for electronic pumps helps to overcome the limitations of response speed and accuracy, improve the accuracy of intelligent speed control of electronic pumps, and achieve a dual improvement in energy efficiency and stability.

[0079] In yet another alternative embodiment, such as Figure 3 As shown, the target control method information is used to analyze and process the basic analysis signal information and the control signal acquisition information to obtain the target control signal information, including: When the target control mode information is the first control mode, the basic analysis signal information is inferred and analyzed to obtain the target control signal information; When the target control mode information is the second control mode, the target control signal information is determined based on the basic analysis signal information and the control signal acquisition information.

[0080] It is evident that implementation Figure 3 The described intelligent variable frequency speed control system for electronic pumps helps to overcome the limitations of response speed and accuracy, improve the accuracy of intelligent speed control of electronic pumps, and achieve a dual improvement in energy efficiency and stability.

[0081] In yet another alternative embodiment, such as Figure 3 As shown, reasoning analysis is performed on the basic analysis signal information to obtain the target control signal information, including: Obtain fuzzy reasoning information; Fuzzy inference information is used to perform fuzzy inference processing on the basic analysis signal information to obtain the first inference signal information; The first inference signal information is corrected to obtain the target control signal information.

[0082] It is evident that implementation Figure 3 The described intelligent variable frequency speed control system for electronic pumps helps to overcome the limitations of response speed and accuracy, improve the accuracy of intelligent speed control of electronic pumps, and achieve a dual improvement in energy efficiency and stability.

[0083] In yet another alternative embodiment, such as Figure 3 As shown, based on the basic analysis signal information and the control signal acquisition information, the target control signal information is determined, including: Based on the second analysis signal information and control signal acquisition information in the basic analysis signal information, the target control parameter information is determined; the target control parameter information includes the first control parameter, the second control parameter, and the third control parameter. Based on the target control parameter information, the first analysis signal information from the basic analysis signal information, and the control signal acquisition information, the target control signal information is determined.

[0084] It is evident that implementation Figure 3 The described intelligent variable frequency speed control system for electronic pumps helps to overcome the limitations of response speed and accuracy, improve the accuracy of intelligent speed control of electronic pumps, and achieve a dual improvement in energy efficiency and stability.

[0085] In yet another alternative embodiment, such as Figure 3 As shown, based on the target control parameter information, the first analysis signal information in the basic analysis signal information, and the control signal acquisition information, the target control signal information is determined, including: Acquire historical analysis signal information; the historical analysis signal includes first historical analysis signal and second historical analysis signal information; The target control signal information is determined by using the first signal calculation model to calculate and process the target control parameter information, the first analysis signal information in the basic analysis signal information, and the historical analysis signal information, so as to obtain the first control signal information. The calculation model for the first signal is as follows: A=s1·(X1-X2)+ s2·X1+ s3·(X1-2·X2+X3); In the formula, A represents the first control signal information; s1, s2 and s3 represent the first control parameter, the second control parameter and the third control parameter, respectively; X1, X2 and X3 represent the first analysis signal information, the first historical analysis signal and the second historical analysis signal information, respectively. The second control signal information is obtained by summing the first control signal information and the control signal acquisition information. The second control signal information is amplified to obtain the target control signal information.

[0086] It is evident that implementation Figure 3 The described intelligent variable frequency speed control system for electronic pumps helps to overcome the limitations of response speed and accuracy, improve the accuracy of intelligent speed control of electronic pumps, and achieve a dual improvement in energy efficiency and stability.

[0087] Example 3 Please see Figure 4 , Figure 4 This is a schematic diagram of another intelligent variable frequency speed control system for an electronic pump disclosed in an embodiment of the present invention. Wherein, Figure 4 The described system can be applied to management systems, such as local servers or cloud servers, and this invention does not limit its application. Figure 4 As shown, the system may include: Memory 301 storing executable program code; Processor 302 coupled to memory 301; The processor 302 calls the executable program code stored in the memory 301 to execute the steps in the intelligent variable frequency speed control method for electronic pumps described in Embodiment 1.

[0088] Example 4 This invention discloses a computer-readable storage medium that stores a computer program for electronic data exchange, wherein the computer program causes a computer to execute the steps in the intelligent variable frequency speed control method for an electronic pump described in Embodiment 1.

[0089] Example 5 This invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the steps in the intelligent variable frequency speed control method for an electronic pump described in Embodiment 1.

[0090] The system embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0091] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0092] Finally, it should be noted that the intelligent variable frequency speed control system and method for electronic pumps disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention, and are only used to illustrate the technical solutions of the present invention, not to limit it; although the present invention 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; and these 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 the present invention.

Claims

1. A method for intelligent variable frequency speed control of an electronic pump, characterized in that, The method includes: Acquire target control object information and system acquisition information; the system acquisition information includes control object acquisition information and control signal acquisition information. The target control object information and the system-acquired information are analyzed and processed to obtain basic analysis signal information and target control mode information; the basic analysis signal information includes first analysis signal information and second analysis signal information. The target control signal information is obtained by analyzing and calculating the basic analysis signal information and the control signal acquisition information using the target control method information.

2. The intelligent variable frequency speed control method for electronic pumps according to claim 1, characterized in that, The analysis and processing of the target control object information and the system-acquired information to obtain basic analysis signal information and target control mode information includes: The target control object information and the control object acquisition information in the system acquisition information are weighted and summed to obtain the first analysis signal information in the basic analysis signal information; The first analytical signal information is differentiated to obtain the second analytical signal information in the basic analytical signal information; Based on the first analysis signal information in the basic analysis signal information, the target control mode information is determined.

3. The intelligent variable frequency speed control method for electronic pumps according to claim 2, characterized in that, The determination of the target control mode information based on the basic analysis signal information includes: Obtain the control threshold; Determine whether the signal value corresponding to the first analysis signal information in the basic analysis signal information is greater than or equal to the control threshold, and obtain a first determination result; When the first judgment result is yes, the first control mode is determined to be the target control mode information; If the first judgment result is negative, the second control method is determined to be the target control method information.

4. The intelligent variable frequency speed control method for an electronic pump according to claim 1, characterized in that, The step of analyzing and processing the basic analysis signal information and the control signal acquisition information using the target control method information to obtain the target control signal information includes: When the target control mode information is the first control mode, the basic analysis signal information is subjected to reasoning analysis to obtain the target control signal information; When the target control mode information is the second control mode, the target control signal information is determined based on the basic analysis signal information and the control signal acquisition information.

5. The intelligent variable frequency speed control method for an electronic pump according to claim 4, characterized in that, The process of reasoning and analyzing the basic analysis signal information to obtain target control signal information includes: Obtain fuzzy reasoning information; The fuzzy inference information is used to perform fuzzy inference processing on the basic analysis signal information to obtain the first inference signal information; The first inference signal information is corrected to obtain the target control signal information.

6. The intelligent variable frequency speed control method for an electronic pump according to claim 4, characterized in that, The determination of the target control signal information based on the basic analysis signal information and the control signal acquisition information includes: Based on the second analysis signal information in the basic analysis signal information and the control signal acquisition information, the target control parameter information is determined; the target control parameter information includes a first control parameter, a second control parameter, and a third control parameter; Based on the target control parameter information, the first analysis signal information in the basic analysis signal information, and the control signal acquisition information, the target control signal information is determined.

7. The intelligent variable frequency speed control method for an electronic pump according to claim 6, characterized in that, The determination of the target control signal information based on the target control parameter information, the first analysis signal information in the basic analysis signal information, and the control signal acquisition information includes: Acquire historical analysis signal information; the historical analysis signal includes first historical analysis signal and second historical analysis signal information; The first control signal information is obtained by using the first signal calculation model to calculate and process the target control signal information, the first analysis signal information in the basic analysis signal information, and the historical analysis signal information to determine the target control signal information. The first signal calculation model is as follows: A=s1·(X1-X2)+ s2·X1+ s3·(X1-2·X2+X3); In the formula, A represents the first control signal information; s1, s2 and s3 represent the first control parameter, the second control parameter and the third control parameter, respectively; X1, X2 and X3 represent the first analysis signal information, the first historical analysis signal and the second historical analysis signal information, respectively. The first control signal information and the control signal acquisition information are summed to obtain the second control signal information; The second control signal information is amplified to obtain the target control signal information.

8. An intelligent variable frequency speed control system for an electronic pump, characterized in that, The system includes: The acquisition module is used to acquire target control object information and system acquisition information; the system acquisition information includes control object acquisition information and control signal acquisition information. The first processing module is used to analyze and process the target control object information and the system acquisition information to obtain basic analysis signal information and target control mode information; the basic analysis signal information includes first analysis signal information and second analysis signal information. The second processing module is used to analyze and calculate the basic analysis signal information and the control signal acquisition information using the target control mode information to obtain the target control signal information.

9. An intelligent variable frequency speed control system for an electronic pump, characterized in that, The system includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the electronic pump intelligent variable frequency speed control method as described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, which, when invoked, are used to execute the intelligent variable frequency speed control method for electronic pumps as described in any one of claims 1-7.