校准低成本雨量计传感器,使其应用于物联网(IoT)基础设施,从而实现环境监测网络的密集化

IF 1.8 4区 地球科学 Q3 GEOSCIENCES, MULTIDISCIPLINARY Geoscientific Instrumentation Methods and Data Systems Pub Date : 2024-06-06 DOI:10.5194/gi-13-163-2024
Robert Krüger, Pierre Karrasch, Anette Eltner
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引用次数: 0

摘要

摘要环境观测对于了解环境状况至关重要。然而,由于成本高昂,目前的观测网络在空间和时间分辨率方面受到限制。对于许多应用来说,更高分辨率的数据采集是可取的。最近,物联网(IoT)支持的低成本传感器系统为这一问题提供了解决方案。虽然低成本传感器的质量可能低于官方测量网络中的传感器,但它们仍能提供有价值的数据。本研究描述了这种低成本传感器系统的要求,介绍了两种实现方法,并评估了一种广泛使用的低成本降水传感器的出厂校准质量。在德累斯顿工业大学(TU Dresden)的气象站,20 个传感器与三个参考仪器进行了为期 8 个月的测试。此外,还在实验室对 66 个雨量计的出厂校准进行了评估。结果表明,所使用的传感器无法满足开箱即用的要求。尽管如此,通过进一步校准,仍可提高精度。
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Calibrating low-cost rain gauge sensors for their applications in Internet of Things (IoT) infrastructures to densify environmental monitoring networks
Abstract. Environmental observations are crucial for understanding the state of the environment. However, current observation networks are limited in their spatial and temporal resolution due to high costs. For many applications, data acquisition with a higher resolution would be desirable. Recently, Internet of Things (IoT)-enabled low-cost sensor systems have offered a solution to this problem. While low-cost sensors may have lower quality than sensors in official measuring networks, they can still provide valuable data. This study describes the requirements for such a low-cost sensor system, presents two implementations, and evaluates the quality of the factory calibration for a widely used low-cost precipitation sensor. Here, 20 sensors have been tested for an 8-month period against three reference instruments at the meteorological site of the TU Dresden (Dresden University of Technology). Furthermore, the factory calibration of 66 rain gauges has been evaluated in the lab. Results show that the used sensor falls short for the desired out-of-the-box use case. Nevertheless, it could be shown that the accuracy could be improved by further calibration.
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来源期刊
Geoscientific Instrumentation Methods and Data Systems
Geoscientific Instrumentation Methods and Data Systems GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
3.70
自引率
0.00%
发文量
23
审稿时长
37 weeks
期刊介绍: Geoscientific Instrumentation, Methods and Data Systems (GI) is an open-access interdisciplinary electronic journal for swift publication of original articles and short communications in the area of geoscientific instruments. It covers three main areas: (i) atmospheric and geospace sciences, (ii) earth science, and (iii) ocean science. A unique feature of the journal is the emphasis on synergy between science and technology that facilitates advances in GI. These advances include but are not limited to the following: concepts, design, and description of instrumentation and data systems; retrieval techniques of scientific products from measurements; calibration and data quality assessment; uncertainty in measurements; newly developed and planned research platforms and community instrumentation capabilities; major national and international field campaigns and observational research programs; new observational strategies to address societal needs in areas such as monitoring climate change and preventing natural disasters; networking of instruments for enhancing high temporal and spatial resolution of observations. GI has an innovative two-stage publication process involving the scientific discussion forum Geoscientific Instrumentation, Methods and Data Systems Discussions (GID), which has been designed to do the following: foster scientific discussion; maximize the effectiveness and transparency of scientific quality assurance; enable rapid publication; make scientific publications freely accessible.
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