Wireless sensor network based monitoring system for a large-scale indoor space: data process and supply air allocation optimization

Zhou, Pei; Huang, Gongsheng; Zhang, Linfeng; Tsang, Kim Fung

doi:10.1016/j.enbuild.2015.06.042

Cited by 69 publications

(25 citation statements)

References 20 publications

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“…1. The node consists of several distributed pieces wich are built in to a jacket: a power source (1), a sensor module (2), a trasceiver (3), a light indicator (4) and a buzzer (5). The node pieces are presented in Fig.…”

Section: Node Overviewmentioning

confidence: 99%

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Uniform Inbuilt Wireless Sensor Node for Working Conditions Monitoring

Spirjakin

Baranov

2016

Annals of Computer Science and Information Systems

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Abstract-All companies strive to eliminate work accidents. But still a lot of professions are exposed to different hazardous conditions and many work injuries and even deaths occur everyday. Monitoring of working conditions is a very important part of labor protection. Combining wireless sensor networks with wearable technology is possible to significantly improve safety delivery capability of such systems and add new functionality to them. In this work we present the design results of the uniforms inbuilt wireless sensor node for working conditions monitoring. The node is able to signalize about employee presence in relation to working facilities, and to monitor the atmosphere for temperature and combustible gases concentration. It consists of light-weighted distributed pieces which are built in to clothes and has low power consumption. The average power consumption of the node is low enough for several weeks autonomous lifetime.

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Section: Node Overviewmentioning

confidence: 99%

“…These networks consist of small nodes and are equiped with transceivers, microprocessors and sensors [5], [6]. They can be used in different areas of life (security, military, home automation, etc.).…”

mentioning

confidence: 99%

Uniform Inbuilt Wireless Sensor Node for Working Conditions Monitoring

Spirjakin

Baranov

2016

Annals of Computer Science and Information Systems

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“…If the security system of the network is destroyed, it will not only bring economic losses and sometimes threatens the safety of people's life. Based on wireless sensor networks, Zhou, P. et al [9] studied large indoor space monitoring systems, including data processing and gas distribution optimization. For example, in the event of a fire, if the sensor network is damaged, then the detected data may not be transferred to the fire control center.…”

Section: Security Analysis Of Wireless Sensor Network In Intelligent mentioning

confidence: 99%

Security of Intelligent Building Network Based on Wireless Sensor Network

Xu¹,

Zhou²

2018

Int. J. Onl. Eng.

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Abstract-In order to study the intelligent buildings, the intelligent building network security of wireless sensor was explored. Because of its advantages of low cost, easy installation, low maintenance and update cost, wireless sensor network system was applied to intelligent building. In view of the characteristics of various influencing factors on the wireless sensor network working environment, node hardware cost and location accuracy, a secure localization algorithm based on DV-Hop was put forward. The security analysis results showed that the algorithm resisted external attacks and guaranteed the accuracy of location results. Based on the above findings, it is concluded that the algorithm can be used to protect the safety of wireless sensor network in building.

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“…Stupakov et al [123] Citation details: [14], for surface temperature and heat flow in historical buildings such as museums [15], carbon dioxide (CO2) sensors for determining occupancy disturbances in commercial buildings [16], demand-based supervisory temperature control sensors for measuring temperature at breathing levels in largescale rooms [17,18] or integrated sensing systems for indoor applications [19,20].…”

Section: Introductionmentioning

confidence: 99%

“…Calibration of energy models also requires good sensing reliability. In calibrating energy models it is crucial to analyse, interpret and model complex interactions and uncertainty [17,18] from continuously updated field data [4,19,20], for example, in dynamic commissioning and monitoring of buildings [21]. Using cell-phone traffic as a proxy for occupancy, builds on completely independent sensors -owners purchase cell phones -but is reliable only to the extent that the owners use their phones, and not wired communication networks.…”

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confidence: 99%