Paper
6 June 2024 Design and research of MCU innovation simulation based on the perspective of technological innovation product development
Qingquan Cui, Yanqiong Li, Ning Wang
Author Affiliations +
Proceedings Volume 13175, International Conference on Computer Network Security and Software Engineering (CNSSE 2024); 131751H (2024) https://doi.org/10.1117/12.3032017
Event: 4th International Conference on Computer Network Security and Software Engineering (CNSSE 2024), 2024, Sanya, China
Abstract
The single chip microcomputer has many applications in the research and development of intelligent products and scientific and innovative products. How to improve the efficiency of development and design application effect in the design of single chip microcomputer is worth in-depth study. This paper takes the development of scientific and technological innovation products as the starting point, analyzes and studies how to effectively improve the development efficiency of MCU developers by using Proteus, and gives the specific design ideas and methods. Through the design and analysis of four actual MCU cases, the design efficiency and design effect of developers are verified. Through the statistics and analysis of the actual developer's development data, the design ideas and methods constructed in this paper can effectively improve the time and efficiency of single chip development, and have certain advantages and effects in innovative products, which can be widely used in single chip learning and education.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Qingquan Cui, Yanqiong Li, and Ning Wang "Design and research of MCU innovation simulation based on the perspective of technological innovation product development", Proc. SPIE 13175, International Conference on Computer Network Security and Software Engineering (CNSSE 2024), 131751H (6 June 2024); https://doi.org/10.1117/12.3032017
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KEYWORDS
Design

Control systems

Liquids

Analytical research

Product development

Device simulation

Statistical analysis

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