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IoT Based Disaster
Detection and Early
Warning Device
Team members:
Shweta Mhatardev Gaikwad
Kalyani Prataprao Chavan
Karishma Uttam Deshmukh
Payal Sunil Bansode
Project Guide:
Prof.V.A.Aher
Introduction:
 Disaster-LINK is a smart IoT device that acts as an alarm and monitoring system during
natural disasters that operates by communicating over internet. It comes with Wi-Fi support
for internet connectivity and uses an IoT cloud platform which helps to control, monitor
and manage the device.
 The device senses its local environment using onboard sensors and send early warnings to
family, friends and colleagues immediately when it finds a disaster situation. It is also able
to receive such warning alarms from other similar devices available on the internet and
provide the user with voice, flashing light, SMS and E-mail alarm notifications.
Objective/ Aim:
 The ultimate aim of the project is to spread the disaster warning information quickly
through internet and make it available to those who need it as early as possible. The fact
that internet is faster than the seismic waves of an earthquake, and much faster than a flood
or tsunami, helps the device to deliver the alert message much before the actual calamity
reach the user’s location giving that vital extra time to take those precautionary emergency
measures.
Technical details:
Material requirements :
 Wi-Fi
 Cloud Platform
 Sensors
 Actuators
 Audio Alarm
 Light Alarm
 User Interface
 E-Mail and SMS Alert
 Wi-Fi :
 The device uses Wi-Fi communication to connect to the internet. Wi-Fi is a local area
wireless computer technology that allows devices to connect to the network using 2.4 GHz
radio band. It connects to the internet through a wireless network access point.
 Typically, we need a wireless router to act as the wireless access point
 Cloud Platform :
 An IoT cloud platform is a server based system that is used to connect and manage an IoT
product using web services that enable the device to communicate between each other and
also between other web applications over internet. Exposit is the cloud platform that we are
going to use for this project.
 Our device acts as a client and sends its data to the exposit cloud platform through a data
source channel. Any device that needs this information must subscribe to this data channel and
can receive and act upon it. The communication between the cloud and the device happens
through HTTP application layer protocol. Data will be sent in JSON format. exposit provides
free accounts to connect and manage the device. It also allows the user to monitor the sensor
values using a web dashboard.
 Sensors :
 A MEMS accelerometer is used to detect earthquake and landslides. A Water level sensor
acts as a flood and tsunami detection mechanism. A heat sensor acts as a fire outbreak
detector.
 Actuators:
 In addition to sensing, the device can take a few defensive measures on its own like fire sprinkler
control and flood water exhaust pump activation in case of an emergency.
 A servo motor is used as the sprinkler valve control mechanism and a DC motor as water pump
activation mechanism. Both these motors are controlled using PWM signal generation.
 Audio Alarm :
 The audio warnings can provide a loud beep alarm sound and can use a voice that tells
“earthquake” or “flood” or “fire”.
 The audio is prestored in a memory card in MP3 format and played back using an audio
codec chip. A dedicated ARM microcontroller will be used for audio playback functionality
 Light Alarm :
 The device has a bright RGB LED that flashes colored lights as an alarm to indicate
different disaster event.
 User Interface :
 A Serial Terminal based on UART acts as the main user interface. Notification LED’s are
used to indicate Wi-Fi provisioning and cloud server connection status.
 E-Mail and SMS Alert :
 The cloud platform supports applying data rules on the incoming data stream from the
client and can dispatch an E-mail or SMS to those recipients entered by the user.
 The user must manually enter the e-mail address and mobile number on the cloud platform
account.
Hardware design:
 The block diagram of the disaster link. The special feature present in our controller is WI-FI
protocol which will be inbuilt in our controller.
 Through which we will send the alerts through message or mail in our system.
 In this we can note operation of UART in CORTEX M4 controller. We have effectively used
2 UART in the CORTEX M4 at UART 1 we connected the LPC1313 microcontroller which
controls SPI terminals with the Audio codec in one end which is connected with the speakers
to give alert during the emergency period.
 The recorded voice will be stored in the memory card in which is present in the audio codec
board. Here as shown in the fig we use the Mems accelerometer and infrared temperature
sensors these sensors are connected with the I2c peripherals which will collect the serial
data’s and send to controller through I2C bus terminals.
 By this way we have all the data’s to be communicated and send to our controllers to have a
safe life flow for our universe.
Advantages :
 Fast response.
 Accurate detection.
References :
 https://www.researchgate.net/publication/321868642_IoT_Based_Disaster_Detection_and_
Early_Warning_Device
 https://10innovations.alumniportal.com/internet-of-things/iot-in-disaster-management-
saving-lives-with-early-warning.html
 https://www.google.co.in/search?q=iot+books&source=lnms&tbm=bks&sa=X&ved=0ahU
KEwjsjOW946DdAhVYbysKHTVOB2gQ_AUICigB&biw=800&bih=596
 Thing on internet by Arshdeep Bagha. (A-hands-on-approach.)
THANK YOU
ANY
QUESTIONS
?

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IoT Based Disaster Detection and Early Warning Device By Shweta Gaikwad

  • 1. IoT Based Disaster Detection and Early Warning Device Team members: Shweta Mhatardev Gaikwad Kalyani Prataprao Chavan Karishma Uttam Deshmukh Payal Sunil Bansode Project Guide: Prof.V.A.Aher
  • 2. Introduction:  Disaster-LINK is a smart IoT device that acts as an alarm and monitoring system during natural disasters that operates by communicating over internet. It comes with Wi-Fi support for internet connectivity and uses an IoT cloud platform which helps to control, monitor and manage the device.  The device senses its local environment using onboard sensors and send early warnings to family, friends and colleagues immediately when it finds a disaster situation. It is also able to receive such warning alarms from other similar devices available on the internet and provide the user with voice, flashing light, SMS and E-mail alarm notifications.
  • 3. Objective/ Aim:  The ultimate aim of the project is to spread the disaster warning information quickly through internet and make it available to those who need it as early as possible. The fact that internet is faster than the seismic waves of an earthquake, and much faster than a flood or tsunami, helps the device to deliver the alert message much before the actual calamity reach the user’s location giving that vital extra time to take those precautionary emergency measures.
  • 5. Material requirements :  Wi-Fi  Cloud Platform  Sensors  Actuators  Audio Alarm  Light Alarm  User Interface  E-Mail and SMS Alert
  • 6.  Wi-Fi :  The device uses Wi-Fi communication to connect to the internet. Wi-Fi is a local area wireless computer technology that allows devices to connect to the network using 2.4 GHz radio band. It connects to the internet through a wireless network access point.  Typically, we need a wireless router to act as the wireless access point  Cloud Platform :  An IoT cloud platform is a server based system that is used to connect and manage an IoT product using web services that enable the device to communicate between each other and also between other web applications over internet. Exposit is the cloud platform that we are going to use for this project.  Our device acts as a client and sends its data to the exposit cloud platform through a data source channel. Any device that needs this information must subscribe to this data channel and can receive and act upon it. The communication between the cloud and the device happens through HTTP application layer protocol. Data will be sent in JSON format. exposit provides free accounts to connect and manage the device. It also allows the user to monitor the sensor values using a web dashboard.
  • 7.  Sensors :  A MEMS accelerometer is used to detect earthquake and landslides. A Water level sensor acts as a flood and tsunami detection mechanism. A heat sensor acts as a fire outbreak detector.  Actuators:  In addition to sensing, the device can take a few defensive measures on its own like fire sprinkler control and flood water exhaust pump activation in case of an emergency.  A servo motor is used as the sprinkler valve control mechanism and a DC motor as water pump activation mechanism. Both these motors are controlled using PWM signal generation.
  • 8.  Audio Alarm :  The audio warnings can provide a loud beep alarm sound and can use a voice that tells “earthquake” or “flood” or “fire”.  The audio is prestored in a memory card in MP3 format and played back using an audio codec chip. A dedicated ARM microcontroller will be used for audio playback functionality
  • 9.  Light Alarm :  The device has a bright RGB LED that flashes colored lights as an alarm to indicate different disaster event.  User Interface :  A Serial Terminal based on UART acts as the main user interface. Notification LED’s are used to indicate Wi-Fi provisioning and cloud server connection status.
  • 10.  E-Mail and SMS Alert :  The cloud platform supports applying data rules on the incoming data stream from the client and can dispatch an E-mail or SMS to those recipients entered by the user.  The user must manually enter the e-mail address and mobile number on the cloud platform account.
  • 12.  The block diagram of the disaster link. The special feature present in our controller is WI-FI protocol which will be inbuilt in our controller.  Through which we will send the alerts through message or mail in our system.  In this we can note operation of UART in CORTEX M4 controller. We have effectively used 2 UART in the CORTEX M4 at UART 1 we connected the LPC1313 microcontroller which controls SPI terminals with the Audio codec in one end which is connected with the speakers to give alert during the emergency period.  The recorded voice will be stored in the memory card in which is present in the audio codec board. Here as shown in the fig we use the Mems accelerometer and infrared temperature sensors these sensors are connected with the I2c peripherals which will collect the serial data’s and send to controller through I2C bus terminals.  By this way we have all the data’s to be communicated and send to our controllers to have a safe life flow for our universe.
  • 13. Advantages :  Fast response.  Accurate detection.
  • 14. References :  https://www.researchgate.net/publication/321868642_IoT_Based_Disaster_Detection_and_ Early_Warning_Device  https://10innovations.alumniportal.com/internet-of-things/iot-in-disaster-management- saving-lives-with-early-warning.html  https://www.google.co.in/search?q=iot+books&source=lnms&tbm=bks&sa=X&ved=0ahU KEwjsjOW946DdAhVYbysKHTVOB2gQ_AUICigB&biw=800&bih=596  Thing on internet by Arshdeep Bagha. (A-hands-on-approach.)