Landslide prediction using wireless sensor network using IoT

Landslides are geological hazards which cause a great deal of loss and damage to public life and property. In particular, the mountain regions of Pakistan in the northern areas and Azad Jammu and Kashmir are greatly affected. Furthermore, China Pakistan Economic Corridor (CPEC), Karakoram highway (K

Project Title

Landslide prediction using wireless sensor network using IoT

Project Area of Specialization

Internet of Things

Project Summary

Landslides are geological hazards which cause a great deal of loss and damage to public life and property. In particular, the mountain regions of Pakistan in the northern areas and Azad Jammu and Kashmir are greatly affected. Furthermore, China Pakistan Economic Corridor (CPEC), Karakoram highway (KKH), motorways, railway lines and road networks are vulnerable to disruption and stoppage of traffic and economic activity due to landslides.

In this project, we intend to design, develop and test an internet of things (IoT) enabled wireless sensor node (WSN) for the detection and prediction of landslides. The sensor node will be built around a microcontroller board. Two sets of sensors will be used with the sensor node. One set of geotechnical sensors will be embedded in the ground for its real time monitoring. Another set of meteorological sensors will help gather meteorological data of the landslide site under investigation. The wireless sensor node along with the sensors (things) will be connected to the Internet through a wireless interface. This will result in an Internet of Things (IoT) device. The real time data gathered and transmitted by the IoT based sensors will be analyzed and processed by a remote computer for landslide activity. Based upon the analysis and assessment, a landslide risk assessment will be made and a warning will be generated in case of an imminent risk.

Traditionally, various methods have been used for landslide monitoring and detection around the world. These include interferometric synthetic aperture radar (InSAR), satellite remote sensing, geodetic techniques and similar other methods. However, all these methods are costly and none of these are deployed in Pakistan. The proposed project will provide an inexpensive method to monitor and detect landslides. Based upon this project, landslide mitigation techniques can be used and warnings can be generated to avert disaster.

The project has active collaboration with Provincial Disaster Management Authority (PDMA), KPK. The project will be first evaluated under controlled outdoor conditions at COMSATS University, Lahore Campus. Later it will be deployed at a test site in collaboration with PDMA, KPK.

This project will be first of its kind in Pakistan to provide real time monitoring of landslide activity. The project will provide a test and baseline for building extensive IoT based wireless sensor networks for landslide monitoring and risk mitigation. For example, the wireless sensor node developed in this project will be used to deploy an IoT based network of wireless sensor nodes. The project is beneficial for strategic organizations such as CPEC, NHA, FWO, NDMA, and PDMAs. The gathered data will help geologists in the further investigation of landslides. Moreover, the project will help build the necessary infrastructure to monitor and mitigate landslide related risks and disasters, which is currently not available in our country.

Project Objectives

1. Develop the real time system that can predict the natural disaster like Land Slide and generate the alert signal.
2. To reduce landslide-related hazard in northern area of Pakistan i.e. Gilgit, Narran, Nathiagali etc.
3. To strengthen the understanding of the processes that contribute to hydrologically triggered landslides and how this understanding contributes to landslide warning systems.
4. To investigate the various techniques and methods that are used to disseminate landslide early warning information and work with key national, state and district government partners to identify the best techniques and tools to use.

Project Implementation Method

In this we are using two modules like Arduino Mega and Raspberry PI as the processors and ZigBee chip for the wireless transmission of data. We are using 3 sensors i.e. GY-MPU 6050 as the 3-axis angle senor or tilt sensor. This is the highly sensitive angle sensor with the input of 3.3 -5V and capable of generating analog output signal. The is strong enough that we don’t need any amplification. It is buried in subjected area as the area is slightly lifted, it can measure the angle and send it to the processor (Arduino). The other sensor is simply the temperature sensor DS18B20, it is installed in that area where the landslides occur due to the ice caps. When the temperature starts to increase and it send the signal in digital form to processor. The last sensor we are using is the water level sensor that can be installed in the mudslide’s areas. It measures the underground water level. If the water level increases, we can use water level sensor to measure water level it is connected using transistor, a wire of 5v power supply is immersed in water then a scale with levels 1,2,3 are immersed in water as water level increases it shows at which level water is, so that we can be alert. These all sensors are connected to Arduino with ZigBee.

            On the other end (control center) we have the Raspberry PI which is connected to the ZigBee for receiving the data it processed the data, if the hazard occurred after the manipulation it generate the alter signal on the connected display. After the alter signal the supervisor will alter the people. 

Benefits of the Project

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Technical Details of Final Deliverable

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Final Deliverable of the Project

Hardware System

Core Industry

IT

Other Industries

Security

Core Technology

Internet of Things (IoT)

Other Technologies

Others

Sustainable Development Goals

Good Health and Well-Being for People, Sustainable Cities and Communities, Climate Action

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com