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ENERGY HARVESTING ENABLED IOT RIVER POLLUTION MONITORING SYSTEM USING LORA

An Internet of Things (IoT) based monitoring system using Wireless Sensor Network (WSN) Technology powered by energy harvesters is a simple and efficient way to monitor the water quality in rivers. This application provides real time monitoring through the interchange of data between sensor nodes an...

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Main Author: LOW, JUN XIAN
Format: Final Year Project
Language:English
Published: 2018
Online Access:http://utpedia.utp.edu.my/19179/1/%5BDissertation%5D%20Low%20Jun%20Xian_20752.pdf
http://utpedia.utp.edu.my/19179/
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spelling my-utp-utpedia.191792019-06-20T08:44:29Z http://utpedia.utp.edu.my/19179/ ENERGY HARVESTING ENABLED IOT RIVER POLLUTION MONITORING SYSTEM USING LORA LOW, JUN XIAN An Internet of Things (IoT) based monitoring system using Wireless Sensor Network (WSN) Technology powered by energy harvesters is a simple and efficient way to monitor the water quality in rivers. This application provides real time monitoring through the interchange of data between sensor nodes and the base station. The processed data is later sent to the cloud server for the users of the system to access and control. The main challenges that can be overcome by this system are the reduction of manual work by humans in gathering data and monitoring the conditions of rivers. The advantages of this system are low power consumption, high energy sustainability and zero carbon emission. In this IoT system, through a long range and low power WSN, data is gathered using sensor and sink nodes consisting of turbidity sensor, pH sensor, temperature sensor with a combination of Arduino Mega microcontroller and LoRa shield. Data received is uploaded to a cloud server through WiFi shield with an internet connectivity. The project aims to provide sustainability in energy to the IoT monitoring system. The sensor node is powered by an energy harvesting circuit consisting of photovoltaic cells, a bq25505 energy module, LTC3525 circuit and batteries. The output of the solar cells which are connected to an energy management module which has dc-dc boost converter circuit with battery management to increase the voltage to a higher level before storing into the battery. Putting all together, this research demonstrates a system in which can operate with sustainable renewable energy, without human intervention and is environmentally friendly. 2018-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/19179/1/%5BDissertation%5D%20Low%20Jun%20Xian_20752.pdf LOW, JUN XIAN (2018) ENERGY HARVESTING ENABLED IOT RIVER POLLUTION MONITORING SYSTEM USING LORA. UNSPECIFIED.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
description An Internet of Things (IoT) based monitoring system using Wireless Sensor Network (WSN) Technology powered by energy harvesters is a simple and efficient way to monitor the water quality in rivers. This application provides real time monitoring through the interchange of data between sensor nodes and the base station. The processed data is later sent to the cloud server for the users of the system to access and control. The main challenges that can be overcome by this system are the reduction of manual work by humans in gathering data and monitoring the conditions of rivers. The advantages of this system are low power consumption, high energy sustainability and zero carbon emission. In this IoT system, through a long range and low power WSN, data is gathered using sensor and sink nodes consisting of turbidity sensor, pH sensor, temperature sensor with a combination of Arduino Mega microcontroller and LoRa shield. Data received is uploaded to a cloud server through WiFi shield with an internet connectivity. The project aims to provide sustainability in energy to the IoT monitoring system. The sensor node is powered by an energy harvesting circuit consisting of photovoltaic cells, a bq25505 energy module, LTC3525 circuit and batteries. The output of the solar cells which are connected to an energy management module which has dc-dc boost converter circuit with battery management to increase the voltage to a higher level before storing into the battery. Putting all together, this research demonstrates a system in which can operate with sustainable renewable energy, without human intervention and is environmentally friendly.
format Final Year Project
author LOW, JUN XIAN
spellingShingle LOW, JUN XIAN
ENERGY HARVESTING ENABLED IOT RIVER POLLUTION MONITORING SYSTEM USING LORA
author_facet LOW, JUN XIAN
author_sort LOW, JUN XIAN
title ENERGY HARVESTING ENABLED IOT RIVER POLLUTION MONITORING SYSTEM USING LORA
title_short ENERGY HARVESTING ENABLED IOT RIVER POLLUTION MONITORING SYSTEM USING LORA
title_full ENERGY HARVESTING ENABLED IOT RIVER POLLUTION MONITORING SYSTEM USING LORA
title_fullStr ENERGY HARVESTING ENABLED IOT RIVER POLLUTION MONITORING SYSTEM USING LORA
title_full_unstemmed ENERGY HARVESTING ENABLED IOT RIVER POLLUTION MONITORING SYSTEM USING LORA
title_sort energy harvesting enabled iot river pollution monitoring system using lora
publishDate 2018
url http://utpedia.utp.edu.my/19179/1/%5BDissertation%5D%20Low%20Jun%20Xian_20752.pdf
http://utpedia.utp.edu.my/19179/
_version_ 1739832598630236160
score 13.211869

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