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基于AIoT的毛延伸使用LabVIEW数据分析的耐用性评估
Sumei Chiang1, Shao-Hsun Chang1, Kai-Chao Yao1
1Department of Electrical and Mechanical Technology, College of Technology, National Changhua University of Education, Bao-Shan Campus, No. 2, Shi-Da Rd., Changhua City 500208, Taiwan.
Sensors (Basel, Switzerland)
|August 28, 2025
概括
这项研究显示,高温和强风会降低毛延伸的耐用性. 然而,事物的人工智能实验设备平台 (AIoTEDP) 显示了有效的毛寿命化品测试.
科学领域:
- 美容科学
- 材料科学
- 工程
背景情况:
- 毛延长的耐用性对于消费者的满意度至关重要.
- 环境因素对化品的性能有很大影响.
- 没有标准化的毛延长寿命测试方法.
研究的目的:
- 介绍一个新的平台,物体实验设备平台的人工智能 (AIoTEDP),用于评估毛延长的耐用性.
- 评估温度,风速和压缩频率对毛延伸保持的影响.
- 验证AIoTEDP在化品测试中的实用性和准确性.
主要方法:
- 使用LabVIEW进行数据收集和分析.
- 使用AIoTEDP模拟环境条件 (温度,风,压缩).
- 使用视觉评估和图像识别技术进行定量分析.
主要成果:
- 高温和强风显著降低了毛延伸的耐用性.
- 适度曲 (3000次) 并没有影响保留率.
- AIoTEDP准确地模拟了现实环境,并提供了可靠的耐用数据.
结论:
- AIoTEDP是一种实用且准确的眼延伸测试系统.
- 热量和风力等环境因素是毛延长寿命的关键决定因素.
- AIoTEDP为创新的化品测试系统提供了潜力.
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