在生物系统监控和控制中的软件传感器应用概述
Nasem Badreldin1, Xiaodong Cheng2, Ali Youssef3
1Department of Soil Science, University of Manitoba, 13 Freedman Crescent, Winnipeg, MB R3T 2N2, Canada.
Sensors (Basel, Switzerland)
|October 26, 2024
概括
软件传感器通过将硬件数据与计算模型集成来克服生物系统监控的挑战. 它们允许对关键变量进行间接估计,增强各种领域的控制和决策.
科学领域:
- 生物系统工程和计算建模.
- 先进的传感器技术和数据集成.
背景情况:
- 由于非线性,可变性和不确定性,生物系统对监测具有独特的挑战.
- 传统的监测方法在可测量的数据与基本的监测需求不一致时遇到困难.
研究的目的:
- 审查软件传感器在促进生物系统监测和控制方面的关键作用.
- 概述传感器技术的进步及其融入基于模型的系统.
- 讨论软件传感器设计中的方法和挑战.
主要方法:
- 硬件传感器数据与先进的计算模型 (机械和数据驱动) 的集成.
- 利用物联网 (IoT) 设备,可穿戴设备,遥感和智能传感器.
- 分析案例研究,包括卡尔曼波器,远程土壤传感和声音识别算法.
主要成果:
- 软件传感器可以间接估计难以测量的变量,如压力指标,健康指标和土壤特性.
- 在温室气体控制,远程土壤有机物检测和早期动物呼吸道感染检测方面有明显的应用.
- 突出了模型准确性,可解释性,简单性和预测性能的权衡.
结论:
- 软件传感器为生物系统监测和控制提供了一种变革性的方法.
- 它们增强决策,促进农业,医疗保健和环境监测中的可持续性.
- 解决软件传感器设计中的挑战是实现其全部潜力的关键.
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