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(生物) 传感系统的自动化和计算机化.
Chamarthi Maheswar Raju1, Decibel P Elpa1, Pawel L Urban1
1Department of Chemistry, National Tsing Hua University 101, Section 2, Kuang-Fu Rd., Hsinchu 300044, Taiwan.
ACS sensors
|February 16, 2024
概括
传感系统的自动化提高了效率,可复制性和远程功能. 由计算机技术驱动的流量注入分析,微流体学和机器人技术等技术是现代自动传感解决方案的关键.
科学领域:
- 分析化学 分析化学
- 自动化工程自动化工程
- 计算机科学 计算机科学
背景情况:
- 传感系统需要自动化,以尽量减少人类干预,提高结果的一致性,并实现远程操作.
- 现有的传感技术可以通过自动化来提高效率和精度.
研究的目的:
- 审查基于各种技术的自动传感系统.
- 讨论计算机技术在增强传感能力方面的整合.
主要方法:
- 审查自动传感系统,包括流量注入分析 (FIA),序列注入分析 (SIA),微流体学和机器人学.
- 讨论计算机技术的作用,包括机器学习和人工智能 (AI).
主要成果:
- 自动化的FIA/SIA提供精确的样品处理,持续分析和增强的安全性.
- 微流体系统从自动化中受益,可以进行更快,更可控的分析.
- 机器人平台提供高效,精确的样品准备和与仪器的集成.
- 计算机技术,人工智能和机器学习对于数据处理,实时分析和传感中的智能预测至关重要.
结论:
- 自动化对于在各种应用中推进传感系统至关重要.
- 自动化硬件和智能计算机技术之间的协同作用推动了实时远程传感解决方案的创新.
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