Transformer type selection method, system, equipment and medium
By acquiring transformer product parameters and usage data, and combining them with weighted calculations, accurate and rapid transformer selection is achieved, solving the problem of inaccurate selection in existing technologies. This ensures that transformers have good economic efficiency while maintaining stable operation and reduces maintenance costs.
Patent Information
- Application Number
- CN202410626028.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-05-20
- Publication Date
- 2025-11-21
Smart Images
Figure CN120996324A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of transformer technology and relates to a transformer selection method, system, equipment, and medium. Background Technology
[0002] Transformers play a vital role in power systems, providing crucial protection for the normal operation of electrical equipment and the safe use of electricity by users. They are primarily used for voltage step-up / step-down, impedance matching, and safety isolation within power systems.
[0003] For example, the step-up and step-down function of a transformer: A transformer can increase or decrease the voltage to meet the power supply needs of different electrical devices. For instance, lighting equipment typically uses 220V, while some motor equipment may require 380V or higher. The step-up and step-down function of a transformer ensures a stable voltage supply and reduces voltage loss.
[0004] The impedance matching function of a transformer: During circuit connection, a transformer can achieve impedance matching, allowing signals to flow smoothly and improving circuit operating efficiency. This helps ensure the normal operation of electrical equipment and reduces energy loss caused by impedance mismatch.
[0005] The safety isolation function of transformers: As isolation transformers, transformers can play a safety isolation role. When a fault occurs on the primary side, it will not affect the secondary side, thereby ensuring the stable operation of the power system and the safe use of electricity by users.
[0006] Other applications of transformers: Transformers are also widely used in scenarios such as motor starting and neutral grounding. Furthermore, depending on their application, transformers can be divided into various types, including instrument transformers, power transformers, testing transformers, and special transformers, each with its specific application and function.
[0007] Transformers come in a wide variety of models, each with different performance attributes. Different application scenarios also place different requirements on transformers. Therefore, transformer selection requires comprehensive consideration of technical, economic, and environmental factors. In reality, technicians often rely on only a few parameters to make transformer selections, which cannot lead to the optimal choice. For example, failure to accurately match parameters such as load type, rated voltage, rated current, and short-circuit impedance may result in low transformer operating efficiency or safety hazards. Furthermore, the selection process may involve an overemphasis on high-performance or high-priced transformers while neglecting actual economic benefits. At the same time, failing to fully compare the cost-effectiveness of different transformer models can lead to excessively high procurement or maintenance costs, impacting the overall economic efficiency of the project. Summary of the Invention
[0008] In order to overcome the shortcomings of the prior art, the present invention aims to provide a method, system, equipment and medium for selecting transformers. The present invention fully considers the various parameter requirements of transformers, and can realize accurate and rapid selection of transformers to obtain the optimal selection result.
[0009] To achieve the above objectives, the present invention employs the following technical solution:
[0010] In a first aspect, the present invention discloses a method for selecting a transformer, comprising the following steps:
[0011] Obtain product parameters, cost data, and usage data for the alternative transformers;
[0012] Based on the product parameters of the transformer, the transformer is selected in the first round to obtain the model of the initially selected transformer;
[0013] The usage data is weighted and calculated. Based on the cost data and the weighted usage data, a second selection of transformers is performed to obtain the optimal transformer model.
[0014] Secondly, this invention discloses a transformer selection system, including a data acquisition module, a primary selection module, and a secondary selection module:
[0015] Data acquisition module: used to acquire product parameters, cost data, and usage data of candidate transformers;
[0016] Primary selection module: Used to perform primary selection of transformers based on their product parameters to obtain the model of the initially selected transformer;
[0017] Secondary selection module: Used to perform weighted calculations on usage data, and to perform secondary selection of transformers based on cost data and weighted usage data to obtain the optimal transformer model.
[0018] Thirdly, the present invention provides an electronic device, comprising: a processor; a memory for storing computer program instructions; and steps for implementing a method for selecting a real transformer when executing the computer program.
[0019] Fourthly, the present invention provides a storage medium storing computer program instructions, which are loaded and executed by a processor, wherein the processor performs a method for selecting a transformer.
[0020] Compared with the prior art, the present invention has the following beneficial effects:
[0021] 1. The method of the present invention performs a primary selection of transformers based on the product parameters of the transformers to obtain the model of the initially selected transformers, ensuring that the selected transformers can operate stably in the required environment.
[0022] 2. The method of this invention performs weighted calculations on usage data, and based on cost data and the weighted usage data, performs secondary selection of the transformer to obtain the optimal transformer model. This ensures that the selected transformer has good economic efficiency while maintaining stable operation, guarantees good stability, and reduces subsequent maintenance costs. This invention fully considers the various parameter requirements of the transformer, enabling rapid transformer selection and yielding the optimal selection result.
[0023] 3. The system of this invention includes a data acquisition module, a primary selection module, and a secondary selection module. The data acquisition module is used to acquire product parameters, cost data, and usage data of candidate transformers. The primary selection module is used to perform a primary selection of transformers based on their product parameters, obtaining the model of the initially selected transformer. The secondary selection module is used to perform a weighted calculation on the usage data, and based on the cost data and the weighted usage data, to perform a secondary selection of transformers, obtaining the optimal transformer model. The modules work together to achieve rapid transformer selection, obtain the optimal selection result, and ensure accurate transformer selection. Attached Figure Description
[0024] Figure 1 This is a flowchart of the method of the present invention;
[0025] Figure 2 This is a system module diagram of the present invention. Detailed Implementation
[0026] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.
[0027] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0028] The present invention will now be described in further detail with reference to the accompanying drawings:
[0029] See Figure 1 This invention discloses a method for selecting a transformer, comprising the following steps:
[0030] S1. Obtain product parameters, cost data, and usage data for the candidate transformers;
[0031] Preferably, the product parameters of the alternative transformer include: load type, rated voltage, rated current and short-circuit impedance.
[0032] Preferably, the cost data includes purchase cost, operating cost, and maintenance cost.
[0033] Preferably, the data used includes the failure rate and efficiency of the transformer throughout its entire life cycle.
[0034] S2. Based on the product parameters of the transformer, perform a preliminary selection of the transformer model;
[0035] Preferably, the transformer is selected based on its parameters, and the preliminary transformer model is as follows:
[0036] Based on the transformer's load type, the power system's voltage level, the magnitude and fluctuation range of the load current, and the electrodynamic force, a preliminary selection of transformer models is conducted to obtain the initial transformer model.
[0037] S3. Perform weighted calculations on the usage data, and perform secondary selection of transformers based on cost data and weighted usage data to obtain the optimal transformer model.
[0038] Preferably, the usage data is weighted and calculated. Based on the cost data and the weighted usage data, a secondary selection of the transformer is performed to obtain the optimal transformer model, as follows:
[0039] Sum the cost data for the entire lifecycle of each type of transformer to obtain the M transformer models with the lowest cost;
[0040] The optimal transformer model is determined by weighting the usage data of the M types of transformers with the lowest cost and calculating the overall score.
[0041] The preferred formula for weighted calculation of the usage data of the M types of transformers with the lowest cost is as follows:
[0042]
[0043] Where Y is the overall score after weighted calculation, X is the statistical value of individual transformer usage data, a is the assignment coefficient of individual transformer usage data, n is the number of transformer usage data items, and N is the ranking of transformer cost data throughout its entire life cycle. The value of N ranges from 1 to M, with N=1 representing the lowest cost throughout the transformer's entire life cycle.
[0044] See Figure 1 In another feasible embodiment of the present invention, the following modifications are made as needed. Obtaining product parameters, cost data, and usage data of candidate transformers, and comprehensively considering these three factors for transformer selection, improves the accuracy of the selection results. A preliminary selection of the transformer is performed based on its product parameters, ensuring that the selected transformer can operate stably in the required environment. A weighted calculation is performed on the usage data, and a secondary selection is conducted based on the cost data and the weighted usage data to obtain the optimal transformer model. This ensures that the selected transformer has good economic efficiency while maintaining stable operation, guarantees good stability, and reduces subsequent maintenance costs. The present invention fully considers the various parameter requirements of the transformer, enabling rapid transformer selection and yielding the optimal selection result.
[0045] Example 1:
[0046] See Figure 1 This embodiment discloses a method for selecting a transformer, including the following steps:
[0047] S1. Based on the application scenarios of the transformers, preliminary selection of candidate transformers is made, and product parameters, cost data and usage data of the candidate transformers are obtained;
[0048] Preferably, the product parameters of the alternative transformers include: load type, rated voltage, rated current, and short-circuit impedance;
[0049] Load types include resistive loads, inductive loads, and capacitive loads. For high-power resistive loads, a transformer with a slightly higher capacity should be selected to cope with possible load fluctuations. In the selection method, the weight of capacity can be increased and the weight of other factors can be decreased to achieve accurate selection.
[0050] Preferably, the cost data includes purchase cost, operating cost, and maintenance cost.
[0051] Preferably, the data used includes the failure rate and efficiency of the transformer throughout its entire life cycle.
[0052] The transformer failure rate calculation process is as follows:
[0053] Acquire historical fault data of the transformer, including fault type, fault occurrence time, fault duration, and other information;
[0054] Fault types are classified and statistically analyzed based on their nature, severity, or impact on the normal operation of the transformer. This classification and statistical analysis allows us to understand the distribution and frequency of various fault types.
[0055] Based on the results of the classification statistics, the probability of occurrence of each type of fault is calculated. By calculating the probability of occurrence of each type of fault, the fault risk of the transformer can be quantitatively assessed.
[0056] The transformer failure rate is calculated by comprehensively considering the probability of occurrence of various faults and their impact on the normal operation of the transformer. The formula for calculating the failure rate can be selected and adjusted according to actual conditions to ensure the accuracy and reliability of the calculation results.
[0057] S2. Based on the product parameters of the transformer, perform a preliminary selection of the transformer model;
[0058] Preferably, the transformer is selected based on its parameters, and the preliminary transformer model is as follows:
[0059] Based on the transformer's load type, the power system's voltage level, the magnitude and fluctuation range of the load current, and the electrodynamic force, a preliminary selection of transformer models is conducted to obtain the initial transformer model.
[0060] S3. Perform weighted calculations on the usage data, and perform secondary selection of transformers based on cost data and weighted usage data to obtain the optimal transformer model.
[0061] Preferably, the usage data is weighted and calculated. Based on the cost data and the weighted usage data, a secondary selection of the transformer is performed to obtain the optimal transformer model, as follows:
[0062] The cost data for the entire life cycle of each type of transformer is summed to obtain the five transformer models with the lowest cost.
[0063] The usage data of the five lowest-cost transformers are weighted and calculated, and the transformer model with the highest overall score is the optimal transformer model.
[0064] The preferred formula for weighted calculation of the usage data of the five lowest-cost transformers is as follows:
[0065]
[0066] Where Y is the overall score after weighted calculation, X is the statistical value of individual transformer usage data, a is the weight of individual transformer usage data, n is the number of transformer usage data items, and N is the ranking of transformer cost data throughout its entire life cycle. The value of N ranges from 1 to 5, with N=1 representing the lowest cost of the transformer throughout its entire life cycle.
[0067] See Figure 2 Based on the above method, the present invention also discloses a transformer selection system, including a data acquisition module, a primary selection module, and a secondary selection module:
[0068] Data acquisition module: used to acquire product parameters, cost data, and usage data of candidate transformers;
[0069] Primary selection module: Used to perform primary selection of transformers based on their product parameters to obtain the model of the initially selected transformer;
[0070] Secondary selection module: Used to perform weighted calculations on usage data, and to perform secondary selection of transformers based on cost data and weighted usage data to obtain the optimal transformer model.
[0071] See Figure 2 In another feasible embodiment of the present invention, the following modifications are made as needed. The data acquisition module is used to acquire product parameters, cost data, and usage data of the candidate transformers. The primary selection module is used to perform a primary selection of transformers based on their product parameters, obtaining the model of the initially selected transformer. The secondary selection module is used to perform a weighted calculation on the usage data, and to perform a secondary selection of transformers based on the cost data and the weighted usage data, obtaining the optimal transformer model. The modules cooperate with each other to achieve rapid transformer selection, obtain the optimal selection result, and ensure accurate transformer selection.
[0072] An electronic device includes: a processor; a memory for storing computer program instructions; and steps for implementing a real-time transformer selection method when executing the computer program.
[0073] A storage medium storing computer program instructions, which, when loaded and executed by a processor, enable the processor to perform a method for selecting a transformer.
[0074] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.
[0075] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0076] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.
[0077] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0078] The above content is only for illustrating the technical concept of the present invention and should not be construed as limiting the scope of protection of the present invention. Any modifications made to the technical solution based on the technical concept proposed in this invention shall fall within the scope of protection of the claims of this invention.
Claims
1. A method for selecting a transformer, characterized in that, Includes the following steps: Obtain product parameters, cost data, and usage data for the alternative transformers; Based on the product parameters of the transformer, the transformer is selected in the first round to obtain the model of the initially selected transformer; The usage data is weighted and calculated. Based on the cost data and the weighted usage data, a second selection of transformers is performed to obtain the optimal transformer model.
2. The method for selecting a transformer according to claim 1, characterized in that, The product parameters of the alternative transformer include: load type, rated voltage, rated current, and short-circuit impedance.
3. The method for selecting a transformer according to claim 1, characterized in that, The cost data includes purchase costs, operating costs, and maintenance costs.
4. The method for selecting a transformer according to claim 1, characterized in that, The usage data includes the failure rate and efficiency of the transformer throughout its entire life cycle.
5. The method for selecting a transformer according to claim 1, characterized in that, The process of selecting a transformer based on its parameters to obtain the initial transformer model is as follows: Based on the transformer's load type, the power system's voltage level, the magnitude and fluctuation range of the load current, and the electrodynamic force, a preliminary selection of transformer models is conducted to obtain the initial transformer model.
6. The method for selecting a transformer according to claim 1, characterized in that, The process of weighting the usage data and then performing a secondary selection of the transformer based on the cost data and the weighted usage data to obtain the optimal transformer model is as follows: Sum the cost data for the entire lifecycle of each type of transformer to obtain the M transformer models with the lowest cost; The optimal transformer model is determined by weighting the usage data of the M types of transformers with the lowest cost and calculating the overall score.
7. The method for selecting a transformer according to claim 6, characterized in that, The specific formula for weighting the usage data of the M types of transformers with the lowest cost is as follows: Where Y is the overall score after weighted calculation, X is the statistical value of individual transformer usage data, a is the weight of individual transformer usage data, n is the number of transformer usage data items, and N is the ranking of transformer cost data throughout its entire life cycle. The value of N ranges from 1 to M, with N=1 representing the lowest cost throughout the transformer's entire life cycle.
8. A transformer selection system, characterized in that, It includes a data acquisition module, a primary selection module, and a secondary selection module: Data acquisition module: used to acquire product parameters, cost data, and usage data of candidate transformers; Primary selection module: Used to perform primary selection of transformers based on their product parameters to obtain the model of the initially selected transformer; Secondary selection module: Used to perform weighted calculations on usage data, and to perform secondary selection of transformers based on cost data and weighted usage data to obtain the optimal transformer model.
9. An electronic device, comprising: A processor; a memory for storing computer program instructions; characterized in that, when executing the computer program, it implements the steps of the method for selecting a transformer as described in any one of claims 1-7.
10. A storage medium storing computer program instructions, characterized in that, When the computer program instructions are loaded and run by the processor, the processor executes the method for selecting a transformer as described in any one of claims 1-7.