Abstract
In this research work, we describe the development and subsequent validation of EnerMon a flexible, efficient, edge-computing based Internet of Things (IoT) LoRa (LongRange) System to monitor power consumption. This system provides real-time information and a descriptive analytics process to provide a ‘big picture’ about energy consumption over time and identify energetic waste. The solution is based on Arduinos, current transformer sensors, Raspberry Pi as an application server and LoRa communication alongside a description and information on what is to be expected of it, describing the development process from the design phase to the validation phase with all steps in between. Due to LoRa low debit communication, an edge computing approach was implemented to create a real-time monitoring process based on this technology. This solution, with the help of descriptive analysis, allows the creation of an energetic local footprint, using a low-cost developed solution for less than 80€ per three-phases monitoring device. This solution also allows for easy installation without communication range and obstacles limitations making it easy use in different situations from big complex building to smaller consumers, such as electric boilers, or simply to measure the energetic footprint of tourists in a small local tourist apartment.
Highlights
The world population has been increasing for years and with it comes an increase in resource wasting
One method used to fight these issues was the creation, or manipulation, of sensors and with it, both the communication between them and the analytics that comes with this new information creating the Internet of Things (IoT)
Nowadays almost every business has already some form of IoT investment, from retail to healthcare, and the International Data Corporation (IDC) has already concluded that data load, in 2025, will increase to 163 zettabytes, 10 times the data generated in 2016 [1]. This is partially due to IoT devices, as by that year, Peter Newman predicts that there will be more than 55 billion IoT devices connected to any form of network
Summary
The world population has been increasing for years and with it comes an increase in resource wasting. Nowadays almost every business has already some form of IoT investment, from retail to healthcare, and the International Data Corporation (IDC) has already concluded that data load, in 2025, will increase to 163 zettabytes, 10 times the data generated in 2016 [1]. This is partially due to IoT devices, as by that year, Peter Newman predicts that there will be more than 55 billion IoT devices connected to any form of network. Between 2017 and 2025, there is a forecast of nearly $15 trillion in aggregate investments related to IoT [2]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
