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用于智能家居系统的低功耗低成本无线洪水传感器。

Low-Power Low-Cost Wireless Flood Sensor for Smart Home Systems.

机构信息

OnTech Security LLC, C/Hispano Aviación, 7⁻9, 41300 La Rinconada, Spain.

Department Electronic Engineering, Computers, and Automatic, University of Huelva, Avda de las Artes, s/n, 21007 Huelva, Spain.

出版信息

Sensors (Basel). 2018 Nov 7;18(11):3817. doi: 10.3390/s18113817.

DOI:10.3390/s18113817
PMID:30405080
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6263806/
Abstract

This paper presents the design of a wireless flood sensor to detect the presence of water on home floors, providing early warning of water leaks. A wireless sensor network has been deployed to gather the measurements from the sensor nodes. A control central coordinates the network and processes the data. Users can remotely inquire for the presence of water, status of the batteries for a specific node, the type of liquid and information about its functionality and alarms, thanks to a proprietary software application. The alerts are also communicated to the user within the home through an audible siren. The designed device is optimized in terms of costs, ease of deployment and maintenance, thus making it widely acceptable to end users.

摘要

本文提出了一种无线洪水传感器的设计,用于检测家庭地板上是否存在水,以便对水泄漏进行早期预警。已经部署了一个无线传感器网络来收集来自传感器节点的测量数据。一个控制中心协调网络并处理数据。用户可以通过专用软件应用程序远程查询水的存在、特定节点电池的状态、液体的类型以及有关其功能和警报的信息。警报也通过家庭内的警笛传达给用户。所设计的设备在成本、易于部署和维护方面进行了优化,因此可以被最终用户广泛接受。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/559c31bebf5a/sensors-18-03817-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/d1480d3172e5/sensors-18-03817-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/3a2e03315920/sensors-18-03817-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/cd2233df32a0/sensors-18-03817-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/d5ab6f09a2fc/sensors-18-03817-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/5917cb751120/sensors-18-03817-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/203c0fbbdda9/sensors-18-03817-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/9c2c8ae64586/sensors-18-03817-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/1cdadf262477/sensors-18-03817-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/a2f493305f8f/sensors-18-03817-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/28bfeef0aa5c/sensors-18-03817-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/61913f78e294/sensors-18-03817-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/559c31bebf5a/sensors-18-03817-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/d1480d3172e5/sensors-18-03817-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/3a2e03315920/sensors-18-03817-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/cd2233df32a0/sensors-18-03817-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/d5ab6f09a2fc/sensors-18-03817-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/5917cb751120/sensors-18-03817-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/203c0fbbdda9/sensors-18-03817-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/9c2c8ae64586/sensors-18-03817-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/1cdadf262477/sensors-18-03817-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/a2f493305f8f/sensors-18-03817-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/28bfeef0aa5c/sensors-18-03817-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/61913f78e294/sensors-18-03817-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7de3/6263806/559c31bebf5a/sensors-18-03817-g012.jpg

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3
Energy-Efficient Wireless Sensor Networks for Precision Agriculture: A Review.节能型无线传感器网络在精准农业中的应用:综述。
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4
A Distributed Multi-Tier Emergency Alerting System Exploiting Sensors-Based Event Detection to Support Smart City Applications.一种利用基于传感器的事件检测的分布式多层应急警报系统,以支持智慧城市应用。
Sensors (Basel). 2019 Dec 27;20(1):170. doi: 10.3390/s20010170.
5
Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review.基于计算机视觉和物联网的传感器在洪水监测和测绘中的应用:系统评价。
Sensors (Basel). 2019 Nov 16;19(22):5012. doi: 10.3390/s19225012.
6
Hardware Mechanism for Energy Saving in WiFi Access Points.WiFi 接入点的节能硬件机制。
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7
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Sensors (Basel). 2019 Jun 12;19(12):2660. doi: 10.3390/s19122660.
Sensors (Basel). 2017 Aug 3;17(8):1781. doi: 10.3390/s17081781.
4
WSN- and IOT-Based Smart Homes and Their Extension to Smart Buildings.基于无线传感器网络和物联网的智能家居及其向智能建筑的扩展。
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5
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6
Development of a telecare system based on ZigBee mesh network for monitoring blood pressure of patients with hemodialysis in health care centers.基于 ZigBee 网状网络的远程医疗系统开发,用于监测医疗中心血液透析患者的血压。
J Med Syst. 2011 Oct;35(5):877-83. doi: 10.1007/s10916-010-9513-0. Epub 2010 Jun 3.