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General Industrial Environment and Health Design Software Using a Small Data-Driven Neural Network Model.

Lijun Xu¹, Jing Zheng¹, Jun Gao²

¹Institute of Art and Design, Nanjing Institute of Technology, Nanjing 211167, Jiangsu, China.

Journal of Environmental and Public Health

|July 25, 2022

Summary

This study introduces an intelligent neural network platform that converts designer knowledge into data, enhancing industrial design efficiency. It leverages AI and big data to create intelligent design software, improving product lifecycle digitization and reducing repetitive tasks.

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Area of Science:

Industrial Design
Artificial Intelligence
Manufacturing Engineering

Background:

Traditional industrial design processes are often hampered by knowledge loss and inefficient workflows.
Manufacturing enterprises face challenges in retaining design expertise and optimizing the design cycle.
The integration of advanced computing technologies into design is crucial for modern manufacturing.

Purpose of the Study:

To develop an enterprise intellectual brain neural network platform for industrial environment and health design.
To convert tacit designer knowledge into explicit data, facilitating knowledge retention and accumulation.
To create a general parameter intelligent design software by integrating AI, big data, and IoT.

Main Methods:

Utilizing small data-driven approaches within a neural network framework.
Combining artificial intelligence, big data, Internet of Things, and parameterization technologies.
Developing a large-scale, product-level, general parameter intelligent design software.

Main Results:

The platform effectively converts designer wisdom into data, preserving enterprise design knowledge.
Significant improvements in designer work efficiency and reduction in low-end repetitive labor.
Establishment of a design think tank through accumulated enterprise design knowledge, driving an intelligent expert system.

Conclusions:

The developed platform and software enhance industrial design efficiency and promote creative work.
Digitization of the entire product lifecycle is achievable, improving overall workflow.
The intelligent expert system acts as an enterprise brain, integrating various critical design and production resources.