Rapid design method of supporting plate

Abstract

The invention relates to a rapid design method of a supporting plate. The rapid design method of the supporting plate comprises the following steps of obtaining technical requirement file data; obtaining variable parameter data based on the technical requirement file data; obtaining adjustment parameter data based on the variable parameter data; and processing data of the supporting plate is obtained based on the variable parameter data and the adjustment parameter data. Wherein the variable parameter data comprises the shape and size data of the air leakage groove, the aperture and number arrangement data of the drying holes, and the specification and position data of the hoisting holes. The adjustment parameter data comprises supporting plate inner diameter data and supporting plate outer diameter data. Wherein the technical requirement file data is text data in a fixed format; according to the rapid design method of the supporting plate, the rapid design effect can be achieved by directly inputting the parameters, needing to be changed, of the supporting plate, the error rate is low, and the verification efficiency is high.

Description

Technical Field

[0001] The invention belongs to the technical field of pallet processing, and in particular relates to a rapid design method for a pallet. Background Art

[0002] The pallet design is an important and complex technical issue in the structural design of the transformer. As the lowest part in the overall assembly, its installation is crucial to the assembly of other parts. The design of the pallet not only takes into account the stability of product performance, but also serves as a basis for guiding workshop workers to perform machining. It not only affects the efficiency of the designed product, but also has an important impact on the processing and production of the workshop. Summary of the invention

[0003] The purpose of the present invention is to provide a rapid design method for a pallet with a simple structure and reasonable design in order to solve the above problems.

[0004] The present invention achieves the above-mentioned purpose through the following technical solutions:

[0005] A rapid design method for a pallet comprises the following steps:

[0006] Obtain technical requirements document data;

[0007] Obtaining variable parameter data based on technical requirement document data;

[0008] obtaining adjustment parameter data based on the variable parameter data;

[0009] The processing data of the pallet is obtained based on the variable parameter data and the adjustment parameter data.

[0010] As a further optimization scheme of the present invention, the variable parameter data includes shape and size data of the air escape slot, aperture and quantity arrangement data of the drying holes, and specification and position data of the lifting holes.

[0011] As a further optimization solution of the present invention, the adjustment parameter data includes the pallet inner diameter data and the pallet outer diameter data.

[0012] As a further optimization solution of the present invention, the technical requirement file data is text data in a fixed format.

[0013] As a further optimization scheme of the present invention, the method also includes obtaining historical processing data of pallets, obtaining historical processing personnel data of pallets, obtaining similarity with the processing data of historical pallets based on the processing data of the currently processed pallet, obtaining corresponding processing personnel information based on the similarity, and obtaining this processing personnel information based on the real-time working status of the processing personnel information.

[0014] The beneficial effects of the present invention are as follows: the present invention can achieve a rapid design effect by directly inputting the parameters that need to be changed on the pallet, and has a low error rate and high verification efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a method flow chart of a rapid design method of a pallet of the present invention;

[0016] Figure 2 The present invention discloses a page design diagram of a rapid design method for a pallet. DETAILED DESCRIPTION

[0017] The present application is further described in detail below in conjunction with the accompanying drawings. It is necessary to point out here that the following specific implementation methods are only used to further illustrate the present application and cannot be understood as limiting the scope of protection of the present application. Technical personnel in this field can make some non-essential improvements and adjustments to the present application based on the above application content.

[0018] References Figure 1 A method flow chart of a rapid design method for a pallet is shown, the method comprising:

[0019] Step S102, obtaining technical requirement document data;

[0020] Step S104, obtaining variable parameter data based on the technical requirement file data;

[0021] Step S106, obtaining adjustment parameter data based on the variable parameter data;

[0022] Step S108, obtaining the processing data of the pallet based on the variable parameter data and the adjustment parameter data.

[0023] This solution can achieve the effect of rapid design by directly inputting the parameters that need to be changed in the pallet, with a low error rate and high verification efficiency.

[0024] Specifically, the variable parameter data include shape and size data of the air escape slot, diameter and quantity layout data of the drying holes, and specification and position data of the lifting holes; the adjustment parameter data include inner diameter data and outer diameter data of the pallet.

[0025] Wherein, the technical requirements document data is text data in a fixed format. Generally, this method mainly relies on natural language processing (NLP) technology and text analysis methods. When using text data in a fixed format, it is convenient to collect data more accurately. When not using text data in a fixed format, the text content can be read from the technical requirements document first, and the text can be cleaned and standardized, such as removing punctuation, special characters and blanks, unifying upper and lower case, converting encoding formats, etc. The text is segmented according to sentences and paragraphs so that the parameters in the text can be analyzed independently. This step helps to identify the context in which the parameters are located; use methods such as bag of words model or TF-IDF (term frequency-inverse document frequency) to identify keywords or terms that frequently appear in the text. This helps to determine important parameter names; according to the parameter format in the technical requirements text, regular expressions are used to identify and extract content in a specific format. For example, if the parameter is a specific number, date, or unit combination, it can be identified by regular expression matching; if the parameter format is "parameter name: value", regular expressions can be used to match "parameter name" and "value"; named entity recognition (NER) technology is used to identify specific terms and parameters in the text. For example, through the trained model, specific parameter names, types, values, etc. in the technical requirements text are identified; the extracted parameter data is structured, such as storing parameter names and values ​​in dictionaries, lists, or databases. This helps with subsequent data analysis and application; context analysis is performed on the extracted parameters to ensure data accuracy. For example, if the same parameter appears in multiple places, it should be integrated and screened according to the context; the extracted parameter data is verified and cleaned to ensure data accuracy and completeness. If inconsistent or erroneous data is found, it should be corrected or deleted.

[0026] Specifically, the method of the present application can be implemented in the following ways:

[0027] Collect a large amount of pallet design data, including known information such as the shape and size of the air escape slots, the diameter and number of the drying holes, the specifications and positions of the lifting holes, and the corresponding data on the inner and outer diameters of the pallet.

[0028] Organizing these data into a structured data set ensures that the design parameters of each pallet correspond one-to-one with the corresponding inner diameter and outer diameter data.

[0029] Divide the dataset into training set, validation set and test set. Usually, the training set accounts for 70-80% of the total data, and the validation set and test set account for 10-15% each.

[0030] Choose an appropriate feature representation method. You can consider converting the air vent shape, drying hole diameter and number, and lifting hole specifications and position data into numerical form to facilitate neural network processing.

[0031] Normalize or standardize the data so that all features have similar distributions to avoid difficulties in model training due to different feature scales.

[0032] Choose a suitable neural network architecture. For this kind of prediction task based on numerical features, a multi-layer perceptron (MLP) or a fully connected neural network is usually used.

[0033] The input to the network should include all relevant features of air escape slots, drying holes, lifting holes, etc. The output of the network can be two values, namely the inner and outer diameters of the pallet.

[0034] When building the model, choose the appropriate number of hidden layers, number of neurons, and activation function (such as ReLU).

[0035] The training set is used to train the model, and the goal is to minimize the error between the predicted value and the true inner and outer diameters. The mean square error (MSE) can be used as the loss function.

[0036] During the training process, hyperparameters such as learning rate and training rounds are adjusted to ensure model convergence.

[0037] Use the validation set to evaluate model performance and ensure that the model generalizes well to unseen data.

[0038] A final evaluation is performed using the test set to verify the accuracy and reliability of the model.

[0039] Mate Reference Figure 2 , use the trained model to make predictions. Input new parameters such as air escape slots, drying holes, and lifting holes, and output the predicted inner and outer diameter data of the pallet.

[0040] The method also includes obtaining historical processing data of pallets, obtaining historical processing personnel data of pallets, obtaining similarity with the processing data of historical pallets based on the processing data of the currently processed pallet, obtaining corresponding processing personnel information based on the similarity, and obtaining this processing personnel information based on the real-time working status of the processing personnel information.

[0041] This method is used to match experienced processing personnel to help improve processing efficiency.

[0042] The above similarity can be determined based on the closeness of the values. At the same time, it is necessary to refer to the working status of the processing personnel, such as the time when they last processed the pallet, the schedule of the work at hand, the loss rate, etc., to obtain the corresponding comprehensive values ​​for recommendation.

[0043] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A rapid design method for a pallet, characterized in that: The following steps are included: Obtain technical requirements document data; Obtaining variable parameter data based on technical requirement document data; obtaining adjustment parameter data based on the variable parameter data; The processing data of the pallet is obtained based on the variable parameter data and the adjustment parameter data.

2. A rapid design method for a pallet according to claim 1, characterized in that: in, The variable parameter data include shape and size data of the air escape slot, diameter and quantity arrangement data of the drying holes, and specification and position data of the hoisting holes.

3. The rapid design method of a pallet according to claim 1, characterized in that: The adjustment parameter data includes the pallet inner diameter data and the pallet outer diameter data.

4. The rapid design method of a pallet according to claim 1, characterized in that: in, The technology requires that the file data is text data in a fixed format.

5. The rapid design method of a pallet according to claim 1, characterized in that: The method also includes obtaining historical processing data of pallets, obtaining historical processing personnel data of pallets, obtaining similarity with the processing data of historical pallets based on the processing data of the currently processed pallet, obtaining corresponding processing personnel information based on the similarity, and obtaining this processing personnel information based on the real-time working status of the processing personnel information.

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