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Development of a low-cost active IoT environment monitoring and natural conservation system

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Nội dung

Coordinator layer (Access Real-time sensor data Anywhere with internet access ) Supervision layer. Internet[r]

Trang 1

Problem Statement

Advanced Technologies for IoT Applications

Results

References

[1] Apostolos Malatras, Abolghasem (Hamid) Asgari and Timothy Baugé, "Web Enabled Wireless Sensor Networks for Facilities

Management", IEEE Systems Journal, Vol, 2, No.4, December 2008

[2] A Wood, G Virone, T Doan, Q Cao, L Selavo, Y Wu, et al., "ALARM-NET: Wireless sensor networks for assisted-living and residential monitoring," University of Virginia Computer Science Department Technical Report, 2006

[3] Xiong Wei, Liu Jian-fu, Zhang Guo-dong, "Applications of web technology in wireless sensor network", in Proc 3rd IEEE

International Conference on Computer Science and Information Technology (ICCSIT), 2010, pp 227-230 [13] Aishwarya V, Felix

Enigo V S, "IP based wireless sensor networks with web interface", in Proc International Conference on Recent Trends in

Information Technology (ICRTIT), 2011, pp 462-466

[4] C Zhu, X Li, H Ji, and V C M Leung, ‘‘Towards integration of wireless sensor networks and cloud computing,’’ in Proc 7th

IEEE Int Conf Cloud Comput Technol Sci., Nov./Dec 2015.

Future work

Title

Author Names and Affiliations

technology (VNU-UET), Graduation year 2015

technology (VNU-UET), Graduation year 2016

Abstract

Over the past decade, Vietnam has made rapid economic growth The hot growth has come with depression hot environment Natural resources are being depleted, clean air is developed scarcity, climate change, and the whole ecosystem is affected In the efforts choose a more sustainable development path, Vietnam needs effective solutions to support to monitoring and protect environment and natural conservation

Wireless sensor network has experienced a good solution for pollution monitoring, environmental monitoring (1) Our research focus on developed a web-based framework for control, acquisition and presentation of sensors and sensor data In this thesis I followed similar approaches with previous research (2, 3, and 4) but the new system is much effective in terms of cost and portability Further, we proposed and developed the concept that the system utilizes a different public transportation vehicles and UAV to monitor a set of environmental parameters over a large area, data sharing as well as helpful for difference

of the community in the management, warnings, research and find solutions to improve environmental issues.

Contributions

Poverty

Environmental degradation

A low-cost active WNS monitoring system

WNS system

Fixed node (add: slar panel, battery)

Sensor layer

Mobile node (Add: GPS, battery) Raspberry Pi Gateway

(Zigbee, Wifi, GPS)

Smart bird robot

Hybrid quad - tank

Wildlife & special measurement scenarios

Camouflage/ Tracking/

scenarios

Places: Do not have fixed

node

Multi-points measuring

Far places

Vehicles carry the mobile node?

On land (Countryside, urban, city, )

Dangerous High space Develop

UAVs to carry Mobile nodes

BUS

Coordinator layer (Access Real-time sensor data Anywhere with internet access )Supervision layer

Internet

Database Web Server

Controller

Router

Temperature

Relative humidity

Carbon monoxide (CO)

Carbon Dioxide (CO2)

Nitrogen Dioxide (NO2)

GPS location

Camera

Different set of sensors for different purpose

Water monitoring

Air monitoring

Wildlife monitoring

WNS system

Fixed node

(add: slar panel, battery)

Sensor layer

Mobile node

(Add: GPS, battery) Raspberry Pi Gateway

(Xbee, Wifi, GPS)

Coordinator layer (Access Real-time sensor data Anywhere with internet access )Supervision layer

Internet

Xbee, uC, sensors Web applications

Database Web Server Controller

Router

Temperature

Relative humidity

Carbon monoxide (CO)

Carbon Dioxide (CO2)

Nitrogen Dioxide (NO2)

GPS location

Camera

Different set of sensors for

different purpose

Rasberry PI

Detail System Diagram

Software in the loop (SIL)

Manufacture and Integration

Test connection and measurement Test operation

Need a solution for

environment monitoring

SET UP ON

N-Fixed node Mobile node 3 – wide space

Mobile node 2 – Multi Terrain Mobile node 1 – on road

Raspberry PI Gateway

Sensor node

AIR

GPS location

Temperature Relative humidity

Carbon monoxide (CO)

Carbon Dioxide (CO2)

Nitrogen Dioxide (NO2)

OPTION

Camera GPS

WATER

pH sensor

DO sensor

EC sensor

Temp sensor

Internet

Experiments

Network architect

HTML Page DATA

HTML Page DATA

- Preforming more testing in terms of system reliability

- Adding more services to generate performance data

- Providing more flexibility to modify different parameter on controlling

application

- Integrating the with a cloud server

- Improve the User interface, Packing and Fixture

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