Design of Water Environment Data Monitoring Node Based on ZigBee Technology

Xia, Hong-bo; Jiang, Peng; Wu, Kaihua

doi:10.1109/cise.2009.5366817

Cited by 6 publications

(5 citation statements)

References 4 publications

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“…Even though they talk about low price and low power, there is no reference neither of the power consumption of the node nor from the sensor prices which, in this case, can be very high. In [3], water parameters such as turbidity, pH, and so forth are measured in an artificial lake in the Hang-Zhou Dian-Zi University. Samples were taken every one hour during approximately one month, and the values were compared during night and day through five different points in order to compensate the measurement drifts.…”

Section: State Of the Artmentioning

confidence: 99%

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Wireless Sensor Network for Environmental Monitoring: Application in a Coffee Factory

Valverde

Rosello

Mujica

et al. 2011

International Journal of Distributed Sensor Networks

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Wireless sensor networks have been a big promise during the last few years, but a lack of real applications makes difficult the establishment of this technology. In this paper a real monitoring application in an instant coffee factory is presented. This application belongs to the group of environmental solutions based on wireless sensor networks, and it is focused on the impact of the instant coffee production processes in one of the largest instant coffee factories in Europe. The paper includes the entire application scenario, from the hardware of the WSN nodes to the software that will evaluate the impact and will close the loop.

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Section: State Of the Artmentioning

confidence: 99%

“…In the state of the art, it is possible to find quite a few environmental solutions based on WSNs such as watershed monitoring systems [2], health monitoring in rivers [3], or energy management solutions to reduce both the amount of resources needed and the atmospheric emissions [4].…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Network for Environmental Monitoring: Application in a Coffee Factory

Valverde

Rosello

Mujica

et al. 2011

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

show abstract

“…Currently there are quite a few environmental solutions based on WSNs such as watershed monitoring systems [1], health monitoring in rivers [2], or the environmental and agricultural applications made by the CSIRO Center in Australia [3]. These excellent works give us a plenty of reference value for applying wireless sensor network.…”

Section: Introductionmentioning

confidence: 98%

A Web-Based Indoor Environment Monitoring System Using Wireless Sensor Networks

Chen

Lu²

2013

2013 International Conference on Computational and Information Sciences

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Nowadays people are often concerned that they have symptoms from exposures to environment in the buildings where they work. Hence it is necessary to monitor indoor environment in a real-time and long-term manner. Wireless Sensor Network (WSN) is a preferable approach which shows great potential for us to interact with the physical world. In this paper, we propose a web-based indoor environment monitoring system using WSN, which consists of three parts: fourteen wireless sensors, a base station and a data management application. Sensors periodically activate their own processing unit and send the acquired values to the base station, while the base station processes the sensing data and uploads them to the database and web server. The data management application deployed in the server is in charge of providing a visual interface between the user and the sensor network. The proposed system can measure the environmental parameters like temperature, humidity, light, sound, and oxygen to determine the environmental health of an indoor space.

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“…In unstructured WSN on the other hand, sensor nodes are often deployed in large number in an ad-hoc manner where human intervention is less. In the current state-of-the-art of WSN, it is possible to find many environmental solutions based on WSN's such as habitat monitoring systems (Szewczyk et al, 2004), water monitoring (Xia et al, 2009), health monitoring (Jafari et al, 2005), Human activity detection (Hemalatha, 2014), smart buildings (Nguyen et al, 2010), target tracking (Yick et al, 2005), precision agriculture (Ghobakhlou et al, 2011) or energy management solutions to reduce both the amount of resources needed and the atmospheric emissions.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Rule Based Environment Monitoring System for Weather Controlled Laboratories using Arduino

Sasirekha¹,

Swamynathan

2017

International Journal of Intelligent Information Technologies

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Weather controlled laboratories such as blood banks, plasma centers, biomedical, research, pharmacy and healthcare always require a portable, low cost and web-based centralized wireless monitoring system. However, it has become more stringent to monitor various weather controlling devices of these laboratories in order to reduce the risk of non-compliance with accreditation requirements. In literature, it is inferred that the majority of existing event detection approaches relies only on precise value to specify event thresholds, but those values cannot adequately handle the imprecise sensor reading. Therefore, in this work, one of the soft computing technologies, fuzzy logic is adopted to demonstrate that fuzzy rule based value significantly improves the accuracy of event detection. The prototype built is tested in a physical laboratory as a personal mobile weather station for monitoring and analyzing the environmental conditions using fuzzy simulated values.

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Design of Water Environment Data Monitoring Node Based on ZigBee Technology

Cited by 6 publications

References 4 publications

Wireless Sensor Network for Environmental Monitoring: Application in a Coffee Factory

Wireless Sensor Network for Environmental Monitoring: Application in a Coffee Factory

A Web-Based Indoor Environment Monitoring System Using Wireless Sensor Networks

Fuzzy Rule Based Environment Monitoring System for Weather Controlled Laboratories using Arduino

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