Smart environmental monitoring networks are a growing part of the Internet of Things (IoT). They are useful to detect, forecast and assess human impacts on the environment as well as the effects of climate change on society. As climate uncertainty grows, we will increasingly rely on these networks to address significant societal challenges including the reduction of available drinking water, diminished agricultural productivity and growing threats posed by extreme weather events on human health and safety. Bioinspired designs can lead to a new generation of devices to ensure that environmental monitoring networks remain accurate and reliable over a wide range of physical conditions. The Instrumentation and Measurement (IM) community is responsible for measuring, detecting, monitoring and recording a vast range of physical phenomena. As such, IM researchers should lead the development of new types of standardized bioinspired sensors which can be integrated into the highly valuable and urgently needed IoT-based environmental monitoring networks of the future. As an example, we show how fish-like underwater bioinspired sensing can improve both the effectiveness and efficiency of monitoring upstream migration.

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水下仿生传感：改善环境监测的新机遇

智能环境监测网络是物联网 (IoT) 日益增长的一部分。它们有助于检测、预测和评估人类对环境的影响以及气候变化对社会的影响。随着气候不确定性的增加，我们将越来越依赖这些网络来应对重大的社会挑战，包括可用饮用水减少、农业生产力下降以及极端天气事件对人类健康和安全构成的日益严重的威胁。仿生设计可以催生新一代设备，以确保环境监测网络在各种物理条件下保持准确和可靠。Instrumentation and Measurement (IM) 社区负责测量、检测、监测和记录范围广泛的物理现象。因此，IM 研究人员应引领开发新型标准化仿生传感器，这些传感器可以集成到未来极具价值且急需的基于物联网的环境监测网络中。例如，我们展示了鱼状水下仿生传感如何提高监测上游迁移的有效性和效率。