A method for guiding online design calculation data configuration of industrial products

Abstract

This invention provides a guided online design calculation data configuration method for industrial products. The method comprises the following steps: S1: Select and configure the calculation formula; S2: Import the model, read all parameters from the model and assign them to a temporary parameter table to form a model sub-parameter summary table; S3: Configure the model sub-parameter summary table and the calculation parameter table accordingly and perform the calculation; S4: Save and select the actual calculation parameter values; S5: Traverse the model and select the optimal actual calculation parameter values. This guided online design calculation data configuration method for industrial products improves the efficiency of new engineers getting started, eliminates the need to switch between different calculation software during calculations, reduces design calculation costs for enterprises, and facilitates the transfer of experience among engineers.

Description

Technical Field

[0001] This invention relates to the field of industrial product design technology, and more specifically to a method for configuring guided online design calculation data for industrial products. Background Technology

[0002] In existing technologies, most industrial-grade product designs are completed offline. Offline design heavily relies on the experience and knowledge of designers, and design capabilities are held by individuals. The design process requires the use of numerous computational tools, such as Excel, MathCRD, and Matlab, which are commercial software used for calculations. Since these calculations are performed using software developed or commercially available from different vendors, their operating habits and complexities vary, resulting in high learning costs and a high risk of errors. Furthermore, the calculations lack necessary connections, making it difficult to ensure data consistency.

[0003] After receiving the calculation results, design engineers search for matching parts in the parts library and then calculate whether the part meets the design requirements. This repetitive work reduces the efficiency of engineers. It is evident that the problems of online product design and how to train new engineers are urgent issues. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of existing technologies by proposing a guided online design calculation data configuration method for industrial products.

[0005] To achieve the above objectives, the present invention adopts the following technical solution: a method for configuring guided online design calculation data for industrial products, the specific steps of which are as follows:

[0006] S1: Select and configure the calculation formula;

[0007] Based on the actual needs of model selection, select calculation parameters from the calculation parameter table and select the corresponding calculation formula from the calculation parameter formula database; the calculation formula database is a database that includes all calculation formulas; the calculation parameter is each symbol value that appears in the calculation formula.

[0008] S2: Import the model, read all parameters on the model and assign them to a temporary parameter table to form a master table of model sub-parameters;

[0009] Import the model into the 3D software, identify and read all the sub-parameters on the model, and configure all the sub-parameters on the model into a temporary parameter table to form a total sub-parameter table of the model.

[0010] S3: Configure and calculate the corresponding model sub-parameter table and calculation parameter table;

[0011] Designers select calculation formulas based on the parameters required for actual calculation, import the sub-parameters from the model sub-parameter table into the calculation formulas in the calculation formula database for calculation, and obtain the actual calculated parameter values.

[0012] S4: Save and select the actual calculated parameter values;

[0013] Import the actual calculated parameter values ​​obtained in step S3 into the algorithm parameter table and save them.

[0014] S5: Traverse the model and select the optimal actual calculation parameter values ​​for the model;

[0015] In the root step S4, the designer compares the actual calculated parameter values ​​in the algorithm parameter table with the model to determine whether the model is within the range of the actual calculated parameter values. If it is, then it is the actual calculated parameter value of the optimal model; otherwise, it is the actual calculated parameter value of the model that does not meet the requirements.

[0016] Preferably, in step S2, the sub-parameters in the model sub-parameter summary table will be repeatedly added together and will not be cleared.

[0017] Preferably, step S5 further includes: S5-1: If it is determined that the model is within the range of actual calculated parameter values, then the calculated value of the optimal model is derived and the corresponding model is selected.

[0018] S5-2: If the model is not within the range of actual calculated parameter values, delete the original model and re-import the new model, then repeat steps S1-S5 until the actual calculated parameter values ​​of the optimal model are obtained.

[0019] Preferably, in step S5, different models can be added for traversal calculation, and the sub-parameters of different models can be imported into the model sub-parameter master table for saving.

[0020] Preferably, the number of sub-parameters in the model sub-parameter table is N = M1 + M2 + M3 ... + Mn.

[0021] Compared with existing technologies, the beneficial effects of this invention are as follows: This invention provides a guided online design calculation data configuration method for industrial products. Experienced engineers can configure the parameters involved in the calculation based on the product's theoretical design requirements. Simultaneously, it provides part selection, optimization tables, calculation formulas, and qualification standards to constrain the parameters. Throughout the process, engineers can improve cost reduction and efficiency for enterprises by increasing the reuse of parts during the design process. The optimization tables are used to quickly assign values ​​to the parameters in the design calculations. Through the model sub-parameter summary table, page parameters are bound, and the calculation results from the model sub-parameter summary table are automatically obtained and assigned to the corresponding parameters.

[0022] The present invention provides a method for configuring online design calculation data for industrial products, which can improve the efficiency of new engineers getting started, and at the same time, it does not require switching between different calculation software during calculation, thereby reducing the design calculation cost for enterprises and facilitating the transfer of experience among engineers. Attached Figure Description

[0023] Figure 1 This is a schematic diagram of the process of the present invention. Detailed Implementation

[0024] To provide a further understanding of the purpose, structure, features, and functions of the present invention, detailed descriptions are provided below with reference to specific embodiments.

[0025] Please refer to the reference. Figure 1 This invention provides a method for configuring guided online design calculation data for industrial products. The specific steps of the method are as follows:

[0026] S1: Select and configure the calculation formula;

[0027] Based on the actual needs of model selection, select calculation parameters from the calculation parameter table and select the corresponding calculation formula from the calculation parameter formula database; the calculation formula database is a database that includes all calculation formulas; the calculation parameter is each symbol value that appears in the calculation formula.

[0028] S2: Import the model, read all parameters on the model and assign them to a temporary parameter table to form a master table of model sub-parameters;

[0029] Import the model into the 3D software, identify and read all the sub-parameters on the model, and configure all the sub-parameters on the model into a temporary parameter table to form a total sub-parameter table of the model.

[0030] S3: Configure and calculate the corresponding model sub-parameter table and calculation parameter table;

[0031] Designers select calculation formulas based on the parameters required for actual calculation, import the sub-parameters from the model sub-parameter table into the calculation formulas in the calculation formula database for calculation, and obtain the actual calculated parameter values.

[0032] S4: Save and select the actual calculated parameter values;

[0033] Import the actual calculated parameter values ​​obtained in step S3 into the algorithm parameter table and save them.

[0034] S5: Traverse the model and select the optimal actual calculation parameter values ​​for the model;

[0035] In the root step S4, the designer compares the actual calculated parameter values ​​in the algorithm parameter table with the model to determine whether the model is within the range of the actual calculated parameter values. If it is, then it is the actual calculated parameter value of the optimal model; otherwise, it is the actual calculated parameter value of the model that does not meet the requirements.

[0036] In current product design methodologies, most designs are conducted offline. By leveraging the connectivity of industrial internet platforms and based on theoretical algorithms for design calculations, a guided online design calculation data configuration method for industrial products can be rapidly constructed to meet business needs. This method automatically integrates calculation formulas, enables quick one-click calculations, significantly reduces the learning cost for engineers, and helps design engineers conduct product design calculations quickly and efficiently.

[0037] Preferably, in step S2, the sub-parameters in the model sub-parameter summary table will be repeatedly added together and will not be cleared.

[0038] When configuring data, component selection, optimization tables, and qualification standard settings are integrated.

[0039] The selection process involves choosing components that meet the calculation requirements. Each time a component is used, its reuse count is recorded. Engineers prioritize components with high reuse counts to reduce repetitive work and improve efficiency. The optimization table allows users to create a table of parameter values, enabling quick selection of data and binding it to parameters on the page during configuration. The qualification criteria require users to meet set standards during calculations to complete the design calculation.

[0040] Preferably, step S5 further includes: S5-1: If it is determined that the model is within the range of actual calculated parameter values, then the calculated value of the optimal model is derived and the corresponding model is selected.

[0041] S5-2: If the model is not within the range of actual calculated parameter values, delete the original model and re-import the new model, then repeat steps S1-S5 until the actual calculated parameter values ​​of the optimal model are obtained.

[0042] Preferably, in step S5, different models can be added for traversal calculation, and the sub-parameters of different models can be imported into the model sub-parameter master table for saving.

[0043] After experienced engineers configure the data, inexperienced engineers can follow the step-by-step guidance to automatically calculate whether the design results meet the set standards, and provide adjustment suggestions for those that do not meet the standards; the calculation continues until the requirements are met before the results are passed on. This significantly improves the ability of novice engineers to get started, and also allows for the export of optimal solution reports based on the design results.

[0044] Preferably, the number of sub-parameters in the model sub-parameter table is N = M1 + M2 + M3 ... + Mn.

[0045] Specific implementation:

[0046] Step 1: Based on product design requirements, begin configuring guided design calculation data;

[0047] Step 2: First, select multiple options during configuration. The parameters configured can generate multiple options, and engineers can choose one as the best option. Then, upload the option template to guide inexperienced engineers to output a report of the best option during the design process.

[0048] Step 3: Next, configure the parameters required for guided design calculations. For the configured parameters, you can choose whether the parameter can be manually edited when participating in the calculation.

[0049] Parameters can be bound to calculation templates. Calculation templates are: after the user configures the formulas in Excel, the calculation results are automatically output in Excel by binding the parameters that need to be involved in the calculation on the page.

[0050] The parameters can be bound to the part selection. After selecting a part, the classification attribute of the part is read. After binding the parameters on the page through the classification attribute of the part, the value of the part classification participating in the calculation is automatically output.

[0051] Parameters can be bound to a preferred table, which is a table that users prepare in advance and bind to the parameters configured on the page online, enabling them to quickly select parameter values.

[0052] Users can set qualification criteria to set multiple conditions for parameters to meet the criteria. During the calculation, if the page parameter meets one of the criteria, the matching will stop.

[0053] Step 4: Based on the configuration of the guided design calculation data mentioned above, inexperienced engineers can design according to the configured data. Only after meeting the standards and selecting the best product design scheme from multiple options can they download the best scheme report as the basis for offline review.

[0054] The present invention has been described in the above-described embodiments; however, these embodiments are merely examples for implementing the present invention. It must be noted that the disclosed embodiments do not limit the scope of the present invention. Conversely, any modifications and refinements made without departing from the spirit and scope of the present invention are within the scope of patent protection of the present invention.

Claims

1. A method for configuring guided online design calculation data for industrial products, characterized in that: The specific steps of the method are as follows: S1: Select and configure the calculation formula; Based on the actual needs of model selection, select the calculation parameters from the calculation parameter table and select the corresponding calculation formula from the calculation parameter formula database; The calculation formula database is a database that includes all calculation formulas; the calculation parameter is the value of every symbol that appears in the calculation formula; S2: Import the model, read all parameters on the model and assign them to a temporary parameter table to form a master table of model sub-parameters; Import the model into the 3D software, identify and read all the sub-parameters on the model, and configure all the sub-parameters on the model into a temporary parameter table to form a total sub-parameter table of the model. S3: Configure and calculate the corresponding model sub-parameter table and calculation parameter table; Designers select calculation formulas based on the parameters required for actual calculation, import the sub-parameters from the model sub-parameter table into the calculation formulas in the calculation formula database for calculation, and obtain the actual calculated parameter values. S4: Save and select the actual calculated parameter values; Import the actual calculation parameter values ​​obtained in step S3 into the algorithm parameter table and save them. S5: Traverse the model and select the optimal actual calculation parameter values ​​for the model; In the root step S4, the designer compares the actual calculated parameter values ​​in the algorithm parameter table with the model to determine whether the model is within the range of the actual calculated parameter values. If it is, then it is the actual calculated parameter value of the optimal model; otherwise, it is the actual calculated parameter value of the model that does not meet the requirements.

2. The method for configuring guided online design calculation data for industrial products as described in claim 1, characterized in that: In step S2, the sub-parameters in the model sub-parameter summary table will be repeatedly added together and will not be cleared.

3. The method for configuring guided online design calculation data for industrial products as described in claim 1, characterized in that: Step S5 further includes: S5-1: If it is determined that the model is within the range of actual calculated parameter values, then the calculated value of the optimal model is derived and the corresponding model is selected; S5-2: If the model is not within the range of actual calculated parameter values, delete the original model and re-import the new model, then repeat steps S1-S5 until the actual calculated parameter values ​​of the optimal model are obtained.

4. The method for configuring guided online design calculation data for industrial products as described in claim 1, characterized in that: In step S5, different models can be added for traversal calculation, and the sub-parameters of different models can be imported into the model sub-parameter master table for saving.

5. The method for configuring guided online design calculation data for industrial products as described in claim 1, characterized in that: The number of sub-parameters in the model sub-parameter summary table is N = M1 + M2 + M 3. ...+Mn.

Images