TY - GEN
T1 - A Low-cost remote solar energy monitoring system for a buoyed iot ocean observation platform
AU - Hegarty, Aoife
AU - Westbrook, Guy
AU - Glynn, Damien
AU - Murray, Declan
AU - Omerdic, Edin
AU - Toal, Daniel
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - This paper describes the design, construction and testing of a low-cost Energy Monitoring System used to remotely monitor the condition of autonomous power generators (i.e. solar panels) for Marine IoT applications. The purpose of the device is to expedite remote troubleshooting, highlight potential problems and identify the need for service/recovery. It consists of a Forward Looking Infrared (FLIR) camera, an 8 megapixel video/stills camera, Raspberry pi Mini-PC, two VE.Direct® to USB interfaces, UHF transceiver, GPS and a power supply. Its method of non-invasive testing involves the transmission of GPS position and time stamped images, as well as infrared images of the Photovoltaic (PV) panels ashore by Slow Scan TV (SSTV). The image is modulated on a UHF carrier wave and received at an internet gateway using a Software Defined Radio (SDR) receiver on a parent buoy. It is then transmitted ashore for demodulation via TCP link across a subsea Ethernet cable. Invasive monitoring is carried out by attaching a USB interface to the Maximum Power Point Tracking (MPPT) Solar Charge Controllers on the buoy. A Linux shell script run on the Mini-PC logs values such as PV Voltage, Battery Voltage, Charge State and Daily Energy Yield from the PV panels. The device aims to reduce costs and downtime, enabling remote decisions to be made, working towards achieving energy continuum.
AB - This paper describes the design, construction and testing of a low-cost Energy Monitoring System used to remotely monitor the condition of autonomous power generators (i.e. solar panels) for Marine IoT applications. The purpose of the device is to expedite remote troubleshooting, highlight potential problems and identify the need for service/recovery. It consists of a Forward Looking Infrared (FLIR) camera, an 8 megapixel video/stills camera, Raspberry pi Mini-PC, two VE.Direct® to USB interfaces, UHF transceiver, GPS and a power supply. Its method of non-invasive testing involves the transmission of GPS position and time stamped images, as well as infrared images of the Photovoltaic (PV) panels ashore by Slow Scan TV (SSTV). The image is modulated on a UHF carrier wave and received at an internet gateway using a Software Defined Radio (SDR) receiver on a parent buoy. It is then transmitted ashore for demodulation via TCP link across a subsea Ethernet cable. Invasive monitoring is carried out by attaching a USB interface to the Maximum Power Point Tracking (MPPT) Solar Charge Controllers on the buoy. A Linux shell script run on the Mini-PC logs values such as PV Voltage, Battery Voltage, Charge State and Daily Energy Yield from the PV panels. The device aims to reduce costs and downtime, enabling remote decisions to be made, working towards achieving energy continuum.
KW - Autonomous Energy
KW - Energy Monitor
KW - Marine IoT
KW - PV Panels
KW - Remote Buoy
KW - SSTV
UR - http://www.scopus.com/inward/record.url?scp=85073913222&partnerID=8YFLogxK
U2 - 10.1109/WF-IoT.2019.8767311
DO - 10.1109/WF-IoT.2019.8767311
M3 - Conference contribution
AN - SCOPUS:85073913222
T3 - IEEE 5th World Forum on Internet of Things, WF-IoT 2019 - Conference Proceedings
SP - 386
EP - 391
BT - IEEE 5th World Forum on Internet of Things, WF-IoT 2019 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE World Forum on Internet of Things, WF-IoT 2019
Y2 - 15 April 2019 through 18 April 2019
ER -
