IoT based Data Logger System for Weather Monitoring using Wireless Sensor Networks

Project Title

IoT based Data Logger System for Weather Monitoring using Wireless Sensor Networks

Project Area of Specialization Internet of ThingsProject Summary

The heavy industry that has grown around the world and the diversity of chemicals along with contamination resulting from humans’ daily life, released into the environment have raised serious concerns on the effects of such materials on the ecosystem and human health. Therefore, countries around the world have increased their regulations in terms of monitoring as well as controlling and treating pollution. Such regulations raised the issue of finding a suitable, cost-effective, and reliable technology to encounter the pollution effects.

The environmental monitoring system becomes a smart monitoring system when the environment itself becomes a self-monitoring and self-protecting environment that is aware of its current status with the possibility of an automatic alarm rising if some event occurred.
The proposed embedded device is for monitoring Temperature, Humidity, and Pressure levels in the atmosphere to make the environment intelligent or interactive with the objects through wireless communication.

Project Objectives

To develop a novel integrated information system that combines Internet of Things (IoT), Cloud Computing, Geoinformatics, geographical information system (GIS), global positioning system (GPS), and e-Science for environmental monitoring and management.

To design an application which provides the functions of storing, organizing, processing, and sharing of data and other information.

Project Implementation Method

The working principle of this work describes the interdependent functionality of the components and their output. Firstly, all the components are initialized by supplying the required power of +5v. There are two temperature sensors, lm35 and dht11; we are using two temperature sensors to get an accurate value of temperature reading and taking the average of the two values. Depending on the temperature, hot air or cool air introduced to maintain the temperature threshold value, which is preset. If the temperature is too low for the particular area hot air is blown in to bring the temperature to moderation. Otherwise, if the temperature is too high, cold air is blown and thereby raising the temperature to the required level. This is how temperature is manipulated. Secondly, there is an LDR which work based on light intensity. When the sunlight is too much or not enough for the plant to handle. This helps in recording the natural light incident on the area. The natural light intensity may wary from time to time. This is important in agricultural applications, where light is required for the growth of plants and some plants may not grow well in low light. On the other hand, when the light intensity is high throughout the year, such areas or places are suitable to set up solar power stations. Light intensity along with other parameters such as temperature and humidity can be used in predicting weather forecast without the use of any satellite data.

Benefits of the Project

This project aims to develop a prototype of an integrated information system (IIS) for environmental monitoring and management, and it also provides a new paradigm for the future research and practice; especially in the era of big data and IoT.
This model can be further expanded to monitor the developing cities and industrial zones for pollution monitoring. To protect the public health from pollution, this model provides an efficient and low-cost solution for continuous monitoring of environment.

Technical Details of Final Deliverable

Hardware: Raspberrypi3+, metrological sensors e.g. (humidity and temperature sensor, barometer, anemometer, rain gauge),GPS, battery.

Software: nodeJS, mongoDB, HTML, bootstrap, Javascript. Linux OS, Opensource libraries, online analytical processing OLAP.

Final Deliverable of the Project HW/SW integrated systemType of Industry IT , Agriculture , Others Technologies Internet of Things (IoT), Cloud Infrastructure, Others, Big DataSustainable Development Goals Industry, Innovation and Infrastructure, Sustainable Cities and Communities, Climate ActionRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	69270
Raspberry pi 3 b+	Equipment	3	5800	17400
Raspberry pi 3 b+ Case	Equipment	3	450	1350
Raspberry pi 3 b+ adapter	Equipment	3	250	750
windspeed sensor (anemometer)	Equipment	2	7000	14000
Wind Direction Sensor	Equipment	2	8000	16000
Rain Guage	Equipment	2	3000	6000
ADC 1115 (analog to digital)	Equipment	2	350	700
BMP180 Barometer	Equipment	2	250	500
Rain Sensor	Equipment	2	180	360
LDR 12mm	Equipment	4	40	160
DHT 22 Temperature and humidity sensor	Equipment	2	450	900
32GB Micro SD card	Miscellaneous	2	850	1700
Jumper Wires	Miscellaneous	2	100	200
HDMI Converter	Miscellaneous	1	450	450
USB 4g Device	Miscellaneous	2	1500	3000
GPS module	Equipment	2	900	1800
OverHead Expenditure	Miscellaneous	1	4000	4000