Environmental monitoring system based on an Open Source Platform and the Internet of Things for a building energy retrofit
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2018Subject/s
Abstract
This paper deals with the design and development of a low cost building environmental monitoring system, and it is based on Open Source Platforms and on the Internet of Things. To achieve this aim, a wireless microcontroller with attached sensors has been used to collect the environmental data. The information obtained from the sensors is collected and stored in a flash memory card, and simultaneously is sent via WiFi to the cloud. This data is stored in an online spreadsheet, which permits us to access the information in real time. On the other hand, a comparative analysis of the results obtained from sensors has been carried out, thanks to which several guidance guidelines have been developed for the selection of the most appropriate environmental sensor for each project. Finally, an additional evaluation of the device has been carried out through the analysis of its energy performance and providing information related to the data storage and its cost of development. The current research shows a clear ability to develop monitoring systems for the building sector, which can also be extended to multiple applications of Smart Environments. The development of projects through these platforms will allow future research to tackle the existing barriers in monitoring campaigns.
This paper deals with the design and development of a low cost building environmental monitoring system, and it is based on Open Source Platforms and on the Internet of Things. To achieve this aim, a wireless microcontroller with attached sensors has been used to collect the environmental data. The information obtained from the sensors is collected and stored in a flash memory card, and simultaneously is sent via WiFi to the cloud. This data is stored in an online spreadsheet, which permits us to access the information in real time. On the other hand, a comparative analysis of the results obtained from sensors has been carried out, thanks to which several guidance guidelines have been developed for the selection of the most appropriate environmental sensor for each project. Finally, an additional evaluation of the device has been carried out through the analysis of its energy performance and providing information related to the data storage and its cost of development. The current research shows a clear ability to develop monitoring systems for the building sector, which can also be extended to multiple applications of Smart Environments. The development of projects through these platforms will allow future research to tackle the existing barriers in monitoring campaigns.





