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作 者:孙云霞 SUN Yunxia(Shenmu vocational and technical college,Shenmu,Shaanxi 719300,China)
出 处:《自动化与仪器仪表》2023年第12期165-168,共4页Automation & Instrumentation
基 金:省级《黄土高原地域幼儿亲自然教育实践路径研究》(ZJS202154)。
摘 要:为进一步提升学前教育机器人交互过程中电路故障检测的水平,提出一种基于改进的低功率电路故障检测系统。其中,分别进行了人机交互低功率电路故障检测方法的软件和硬件部分的设计,并使用电子负载器替代了传统低功率点检测方法中的使用的可变电阻器,进一步优化检测过程。结果表明,设计的改进低功率电路故障检测方法能够进行准确的低功率点判定;与改进前的检测方法相比,改进后的低功率电路故障检测方法能够在保证功率检测精度的基础上,实现电阻调节的可视化,提高调节精度和便利性,功率检测结果的相对误差始终保持在0.7%以下。以上结果表明,针对学前教育设计的智慧教育玩具人机交互电路故障检测方法性能良好,稳定性较高,能够应用于实际的学前教育场景,可信度较高。To further enhance the interactive fault detection level of intelligent educational robots,an improved low-power point detection method is designed to improve the detection level of low-power faults.Among them,the software and hardware parts of the human-machine interaction low-power fault detection method were designed separately,and electronic loaders were used to replace the variable resistors used in traditional low-power point detection methods to optimize the detection process.The results indicate that the improved low-power point detection method designed can accurately determine low-power points;Compared with the previous detection method,the improved low-power fault detection method can achieve visualization of resistance adjustment while ensuring power detection accuracy,improve adjustment accuracy and convenience,and maintain the relative error of power detection results below 0.7%.The above results indicate that the intelligent educational toy human-machine interaction low-power fault detection method designed for preschool education has good performance,high stability,and can be applied to practical scenarios with high reliability.
分 类 号:TP392[自动化与计算机技术—计算机应用技术]
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