KR-20260067274-A - Method for predicting carbon emissions during manufacturing using three-dimensional design information

Abstract

A method for predicting carbon emissions during manufacturing using three-dimensional design information according to the present invention is characterized by comprising a model file input step for receiving a three-dimensional model file of a designed product, a data extraction step for extracting geometric numerical data of the product from the three-dimensional model file, and a carbon emission prediction step for predicting carbon emissions generated during the manufacturing of the product using the geometric numerical data.

Inventors

• 권순조
• 고민석

Assignees

• 국립금오공과대학교 산학협력단

Dates

Publication Date

20260512

Application Date

20250120

Priority Date

20241105

Claims (7)

1. A model file input step for receiving a three-dimensional model file of a designed product; and A data extraction step for extracting geometric numeric data of the product from the above three-dimensional model file; and A carbon emission prediction step for predicting carbon emissions generated during the manufacturing of the product using the above geometric numerical data; A method for predicting carbon emissions during manufacturing by utilizing three-dimensional design information characterized by including
2. In Article 1, In the above data extraction step, The geometric numerical data of the above product is the volume information of the above product; and Size information of the 3D bounding box generated in the above product; and A method for predicting carbon emissions during manufacturing by utilizing three-dimensional design information characterized by comprising volume information of a support structure generated during the manufacturing of the above-mentioned product.
3. In Article 1, In the carbon emission prediction stage, A method for predicting carbon emissions during manufacturing using three-dimensional design information, characterized by predicting carbon emissions through an artificial neural network that receives the above geometric numerical data.
4. In Article 1, A method for predicting carbon emissions during manufacturing by utilizing three-dimensional design information, characterized in that the three-dimensional model file of the above-mentioned product is a three-dimensional model file for additive manufacturing.
5. A model file input step for receiving a three-dimensional model file of a designed product; and A data extraction step for extracting three-dimensional voxel data of the product from the above three-dimensional model file; and A carbon emission prediction step for predicting carbon emissions generated during the manufacturing of the product using the above voxel data; A method for predicting carbon emissions during manufacturing by utilizing three-dimensional design information characterized by including
6. In Paragraph 5, In the carbon emission prediction stage, A method for predicting carbon emissions during manufacturing using three-dimensional design information, characterized by predicting carbon emissions through a convolutional neural network that receives the above-mentioned voxel data as input.
7. In Paragraph 5, A method for predicting carbon emissions during manufacturing by utilizing three-dimensional design information, characterized in that the three-dimensional model file of the above-mentioned product is a three-dimensional model file for additive manufacturing.

Description

Method for predicting carbon emissions during manufacturing using three-dimensional design information The present invention relates to a method for predicting carbon emissions during manufacturing by utilizing three-dimensional design information, and more specifically, to a method for predicting carbon emissions during manufacturing by utilizing three-dimensional design information to predict carbon emissions generated during product manufacturing through three-dimensional design information at the product design stage. In general, Life Cycle Assessment (LCA) is widely used as a tool to quantitatively evaluate the environmental impact of each stage of the product life cycle during manufacturing. Life Cycle Assessment (LCA) is a tool for systematically analyzing and quantifying the environmental impact throughout the entire lifecycle of a product or service, and it encompasses all stages of the life cycle, from initial design to raw material extraction, manufacturing, distribution, use, disposal, or recycling. Here, the primary purpose of Life Cycle Assessment (LCA) is to evaluate the environmental impact of a product or service, optimize resource usage, and determine sustainability. However, classical Life Cycle Assessment (LCA) methodologies had the problem of high entry barriers and the significant amount of time required for engineers to perform them during the design phase. In addition, according to Korean Published Patent No. 10-2024-0086575, a method for calculating carbon emissions by performing a Life Cycle Assessment (LCA) based on carbon emission factors included in the manufacturing process is presented. However, this method calculates carbon emissions for already finished products by collecting Life Cycle Assessment (LCA) data from all sectors of the manufacturing process. Therefore, there was a problem in that the completed process had to be redesigned and implemented to reduce carbon emissions from the manufacturing process itself. FIG. 1 is a diagram briefly illustrating the learning process of a prediction model for a method of predicting carbon emissions during manufacturing using three-dimensional design information according to the present invention. FIG. 2 is an example diagram illustrating data used in the product design and manufacturing stages of a method for predicting carbon emissions during manufacturing using three-dimensional design information according to the present invention. FIG. 3 is a diagram illustrating the 3D model filtering process and the input data extraction process in a method for predicting carbon emissions during manufacturing using three-dimensional design information according to the present invention. FIG. 4 is a diagram briefly illustrating the energy and material data extraction step of a method for predicting carbon emissions during manufacturing using three-dimensional design information according to the present invention. FIG. 5 is a diagram briefly illustrating the carbon emission extraction step of a method for predicting carbon emissions during manufacturing using three-dimensional design information according to the present invention. FIG. 6 is a diagram briefly illustrating the configuration of a method for predicting carbon emissions during manufacturing using three-dimensional design information according to the present invention. FIG. 7 is a diagram briefly illustrating the data extraction step of a method for predicting carbon emissions during manufacturing using three-dimensional design information according to an embodiment of the present invention. FIG. 8 is a diagram briefly illustrating the configuration of an artificial neural network in a method for predicting carbon emissions during manufacturing using three-dimensional design information according to an embodiment of the present invention. FIG. 9 is a graph showing an artificial neural network trained in a method for predicting carbon emissions during manufacturing using three-dimensional design information according to an embodiment of the present invention. FIG. 10 is a diagram briefly illustrating the data extraction step of a method for predicting carbon emissions during manufacturing using three-dimensional design information according to another embodiment of the present invention. FIG. 11 is a graph illustrating a convolutional neural network trained in a method for predicting carbon emissions during manufacturing using three-dimensional design information according to another embodiment of the present invention. Specific structural or functional descriptions of embodiments according to the concept of the present invention disclosed herein are provided merely for the purpose of explaining embodiments according to the concept of the present invention, and embodiments according to the concept of the present invention may be implemented in various forms and are not limited to the embodiments described herein. Embodiments according to the concept of the present invention may be subj