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空气污染监测系统中传感器数据处理步骤的设计。

Design of sensor data processing steps in an air pollution monitoring system.

机构信息

Korea Institute of Science Technology and Information, 245 Daehangno, Yuseong, Daejeon 305-806, Korea.

出版信息

Sensors (Basel). 2011;11(12):11235-50. doi: 10.3390/s111211235. Epub 2011 Nov 28.

DOI:10.3390/s111211235
PMID:22247663
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3251980/
Abstract

Environmental monitoring is required to understand the effects of various kinds of phenomena such as a flood, a typhoon, or a forest fire. To detect the environmental conditions in remote places, monitoring applications employ the sensor networks to detect conditions, context models to understand phenomena, and computing technology to process the large volumes of data. In this paper, we present an air pollution monitoring system to provide alarm messages about potentially dangerous areas with sensor data analysis. We design the data analysis steps to understand the detected air pollution regions and levels. The analyzed data is used to track the pollution and to give an alarm. This implemented monitoring system is used to mitigate the damages caused by air pollution.

摘要

环境监测是了解洪水、台风、森林火灾等各种现象影响所必需的。为了检测偏远地区的环境条件,监测应用采用传感器网络来检测环境条件,使用上下文模型来理解现象,并利用计算技术来处理大量数据。在本文中,我们提出了一个空气污染监测系统,该系统通过传感器数据分析提供关于潜在危险区域的警报信息。我们设计了数据分析步骤来理解检测到的空气污染区域和水平。所分析的数据用于跟踪污染并发出警报。该实施的监测系统用于减轻空气污染造成的损害。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/d9955c3cc415/sensors-11-11235f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/56c7a315791d/sensors-11-11235f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/eab31f37a681/sensors-11-11235f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/f732eeaaea83/sensors-11-11235f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/99ac41cbc39f/sensors-11-11235f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/e4f1942cade3/sensors-11-11235f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/42a5c9fd1616/sensors-11-11235f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/b173f1f046a7/sensors-11-11235f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/df93b4db0660/sensors-11-11235f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/d9955c3cc415/sensors-11-11235f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/56c7a315791d/sensors-11-11235f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/eab31f37a681/sensors-11-11235f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/f732eeaaea83/sensors-11-11235f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/99ac41cbc39f/sensors-11-11235f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/e4f1942cade3/sensors-11-11235f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/42a5c9fd1616/sensors-11-11235f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/b173f1f046a7/sensors-11-11235f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/df93b4db0660/sensors-11-11235f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/379a/3251980/d9955c3cc415/sensors-11-11235f9.jpg

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本文引用的文献

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Environ Sci Technol. 2004 Dec 15;38(24):6553-60. doi: 10.1021/es049872h.
3
A preliminary study of ozone trend and its impact on environment in Hong Kong.
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Sensors (Basel). 2012 Oct 17;12(10):14004-21. doi: 10.3390/s121014004.
4
An environmental monitoring system for managing spatiotemporal sensor data over sensor networks.用于管理传感器网络中时空传感器数据的环境监测系统。
Sensors (Basel). 2012;12(4):3997-4015. doi: 10.3390/s120403997. Epub 2012 Mar 27.
香港臭氧趋势及其对环境影响的初步研究。
Environ Int. 2002 Dec;28(6):503-12. doi: 10.1016/s0160-4120(02)00078-8.
4
Effects of biodiesel blends and Arco EC-diesel on emissions from light heavy-duty diesel vehicles.生物柴油混合燃料和阿科EC柴油对轻型重型柴油车辆排放的影响。
Environ Sci Technol. 2002 Apr 15;36(8):1686-91. doi: 10.1021/es011231o.