Design of wireless sensor network node for carbon monoxide monitoring

Chen, Zujue; Shi, Zhan; Guo, Qiuyue

doi:10.1007/s11235-013-9675-4

Cited by 10 publications

(5 citation statements)

References 7 publications

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“…Although bus network have greatly improved in expansibility and maintenance, wireless systems have become more attractive in recent years offering a low-cost solution and spatial flexibility. A wireless sensor network requires sensor nodes small in size to facilitate the deployment and limited power consumption due to their battery-powered operation [ 12 , 13 , 14 , 15 , 16 ]. A wireless fire system must guarantee the functionality and the safety of the RF communications, avoiding false alarm notifications.…”

Section: Introductionmentioning

confidence: 99%

Low Power Wireless Smoke Alarm System in Home Fires

Luis¹,

Gómez-Galán

Espigado³

2015

Sensors

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A novel sensing device for fire detection in domestic environments is presented. The fire detector uses a combination of several sensors that not only detect smoke, but discriminate between different types of smoke. This feature avoids false alarms and warns of different situations. Power consumption is optimized both in terms of hardware and software, providing a high degree of autonomy of almost five years. Data gathered from the device are transmitted through a wireless communication to a base station. The low cost and compact design provides wide application prospects.

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Section: Introductionmentioning

confidence: 99%

Low Power Wireless Smoke Alarm System in Home Fires

Luis¹,

Gómez-Galán

Espigado³

2015

Sensors

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“…Using sensor nodes consisting of an LM35DZ temperature sensor, a humidity sensor HSM 20-G and a CO sensor TGS 2600, can be used to achieve an average error of 4.414% when compared to the dataset and 2.12% (if the data outliers are eliminated) (Firdaus et al, 2016). Chen, Shi, and Guo used Wireless Sensor Network node, low-power microprocessor C8051F930, with CO metal oxide semiconductor sensor to detect CO in the range of 30 to 1000 ppm with a data transmitting distance of 200 m (Chen et al, 2013). (Bicelli et al, 2009) used a similar system but with TGS2442 (Figaro, Inc.) metal-oxide CO sensors to detect CO in the range of 30 to 300 ppm.…”

Section: Wireless Systemsmentioning

confidence: 99%

An Overview of Solid Fuel Processing, Kinetics, and the Advances in Minimizing Carbon Monoxide Emissions

NYOMBI,

Williams,

Wessling

2023

Preprint

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There is a growing notion that biomass are the best resource to replace the declining fossil fuels, yet both share the long lived human threat: toxic combustion emissions. Among the toxic combustion products is carbon monoxide (CO) that not only causes acute but also chronic ailments. This brief review discusses the solid fuel processing technologies from combustion, thermochemical and biochemical processing to kinetics and thermodynamics including the mechanism for release of CO. It further expounds on the burden that CO has caused England and Wales in the last 25 years. The main gist are the systems that have been developed to minimize human exposure to CO including cooking, heating, catalytic and detection systems. Finally, alternative technologies are discussed that work by changing the chemical nature of solid fuels as a way to minimize CO emissions.

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“…The Sudipta Bhattacharjee [1] et al analyzed about the wireless sensor network based fire detection, alarming, monitoring and prevention system for Bord-and-Pillar coal mines. The Zujue Chen [2] et al discussed about the design of wireless sensor network node for carbon monoxide monitoring. The Hakilo Sabit [3] et al discussed about the wireless sensor network based wildfire hazard prediction system modeling.…”

Section: Background Studymentioning

confidence: 99%

Design Challenges in Wireless Fire Security Sensor Nodes

Vijayalakshmi

Muruganand

2015

IJESA

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A design of simple hardware circuit with different kind of fire sensors enables every user to use this wireless fire security system. The challenges in designing the nodes with various types of fire sensors are discussed and the methods to overcome design problems are also analyzed. The circuit is interfaced with the different types of sensor to sense different fire sources such as gas leakage, smoke, and heat. The cost, circuit components, design requirements, power requirements of sensor node are minimized. The methods to improve the quality of system to detect fire are analyzed. The system is fully controlled by the PIC microcontroller. All the sensors and detectors are interconnected to PIC microcontroller by using various types of interface circuits. The PIC microcontroller will continuously monitor all the sensors and if it senses any security problem then the microcontroller will send the information to the PC central monitoring station wirelessly for a short distance of 300m indoor/1500m outdoor using zigbee technology. The gas sensor, light sensor, smoke detector sensor, IR sensor, temperature & humidity sensor, fire sensor are interfaced with microcontroller to detect abnormal fire conditions in the environment in all possible ways.

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Design of wireless sensor network node for carbon monoxide monitoring

Cited by 10 publications

References 7 publications

Low Power Wireless Smoke Alarm System in Home Fires

Low Power Wireless Smoke Alarm System in Home Fires

An Overview of Solid Fuel Processing, Kinetics, and the Advances in Minimizing Carbon Monoxide Emissions

Design Challenges in Wireless Fire Security Sensor Nodes

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