LPE growth and characterization of InGaAsP/InP heterostructures: IR light-emitting diodes at 1.66 μm. Application to the remote monitoring of methane gas

Volkov, V. V.; Landuyt, J. Van; Marushkin, K.M.; Gijbels, R.; Férauge, C.; Vasilyev, M.G.; Shelyakin, A. A.; Sokolovsky, Alexander A.

doi:10.1016/s0924-4247(97)01377-0

Cited by 5 publications

(1 citation statement)

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“…A wireless sensor network (WSN) consists of several small, inexpensive sensor nodes that communicate detected events wirelessly [ 7 – 9 ]. Quite often, WSNs are used to monitor certain delicate situations as those indicated in [ 10 ]: floods [ 11 ], volcanoes [ 12 ], radioactive materials [ 13 ], wildfire [ 14 ], ethylene [ 15 ], methane [ 16 ], etc. However, they can also be used in other less critical cases, like the one covered in this work, where the information to be gathered is so exhaustive that several simple sensors (from a few tens to some hundreds) are needed.…”

Section: Introductionmentioning

confidence: 99%

Development of a Wireless Sensor Network for Individual Monitoring of Panels in a Photovoltaic Plant

Prieto

Pernía

Nuño

et al. 2014

Sensors

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With photovoltaic (PV) systems proliferating in the last few years due to the high prices of fossil fuels and pollution issues, among others, it is extremely important to monitor the efficiency of these plants and optimize the energy production process. This will also result in improvements related to the maintenance and security of the installation. In order to do so, the main parameters in the plant must be continuously monitored so that the appropriate actions can be carried out. This monitoring should not only be carried out at a global level, but also at panel-level, so that a better understanding of what is actually happening in the PV plant can be obtained. This paper presents a system based on a wireless sensor network (WSN) that includes all the components required for such monitoring as well as a power supply obtaining the energy required by the sensors from the photovoltaic panels. The system proposed succeeds in identifying all the nodes in the network and provides real-time monitoring while tracking efficiency, features, failures and weaknesses from a single cell up to the whole infrastructure. Thus, the decision-making process is simplified, which contributes to reducing failures, wastes and, consequently, costs.

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