摘要
该方案实现了基于嵌入式AI推断电机运行异常的方法。基于瑞萨电机控制MCU RA6T1,结合瑞萨的e-AI工具,将Google的TensorFlow Lite模型部署在MCU端,结合瑞萨专有的BLDC电机控制程序套件实现AI对电机运行状态的判断,可作为工厂自动化中预测性运维的实践基础。
This solution implements motor abnormal detection based on AI inference embedded in Renesas MCU RA6T1,along with Renesas e-AI toolkit,which helps to translate TensorFlow Lite from Google to accelerator on MCU.This is the base for factory automation predictive maintenance where motor monitoring is the major task to resolve.
作者
顾晨宇
Gu Chenyu(Renesas Electronics(China)Co.,Ltd.,Beijing 100085,China)
出处
《单片机与嵌入式系统应用》
2022年第9期18-21,共4页
Microcontrollers & Embedded Systems