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Weather
Monitoring
System
Roll No. 16010222804
Umang Dilip Panchal
Tip: Use links to go to a different page
inside your presentation.
How: Highlight text, click on the link symbol
on the toolbar, and select the page in your
presentation you want to connect.
Agenda
Need for Weather Monitoring
Need for Iot
Architecture
Detailed Architecture
Applications
Need for Weather Monitoring
Back to Agenda Page
Disaster Preparedness: Essential for timely warnings and evacuations during natural
disasters.
Agricultural Efficiency: Vital for optimizing farming practices and minimizing crop
losses.
Transportation Safety: Ensures safe travel by air, land, and sea through accurate
weather forecasts.
Energy Sector Optimization: Helps in managing energy resources efficiently, especially
from renewable sources.
Environmental Protection: Contributes to understanding climate change trends and
ecosystem impacts.
Need for Iot Back to Agenda Page
Delay in collection and transfer of data.
Using internet connectivity Iot can predict weather much faster and
accurately.
Use of more sensors and satellite imaging to predict weather.
From a business point of view the accuracy is very high leading to
intellectual decisions driven by real-time data.
Architecture
Back to Agenda Page
Level 5
Efficient Data Management
Extended Sensor Life
Scalable & Flexible Architecture
Function: Collects Raw data from the environment.
Temperature sensor (e.g., PT100 sensor)
Humidity sensor (e.g., Capacitive sensor)
Barometric pressure sensor (e.g., Piezoresistive sensor)
Wind speed and direction sensor (e.g., Anemometer)
Rain gauge (e.g., Tipping bucket rain gauge)
Light sensor (e.g., Photodiode)
Detailed Architecture Back to Agenda Page
Layer 1: Perception Layer (Sensor Nodes):
Back to Agenda Page
Layer 2 Network Layer (Coordinator Node):
Function: Acts as a central hub for the sensor network,
managing communication and preprocessing data.
Microcontroller (e.g., Arduino Due, Raspberry Pi)
Wireless communication module (e.g., Zigbee module,
LoRa module, Cellular modem)
Power management system (e.g., Battery with solar
panel for charging)
Back to Agenda Page
Layer 3 Processing Layer (Cloud Gateway & Data
Processing/Analytics)
Function: Receives data from the coordinator, stores it securely, and performs initial
processing and analysis.
Components:
Cloud Gateway (provided by cloud platform services like AWS IoT Core,
Microsoft Azure IoT Hub)
Cloud Storage (e.g., Amazon S3, Microsoft Azure Blob Storage)
Cloud Data Processing Services (e.g., AWS Lambda, Azure Functions)
Back to Agenda Page
Layer 4: Application Layer (Cloud Applications)
Function: Provides user interface and functionalities for accessing, visualizing, and
interacting with weather data.
Components:
Cloud Development Platform (e.g., AWS EC2, Microsoft Azure Virtual Machines)
Web application framework (e.g., Django, Spring Boot)
Mobile app development tools (e.g., React Native, Flutter)
Back to Agenda Page
Communication between Layers:
Layer 1 to Layer 2: Sensor nodes communicate wirelessly with the coordinator node
using chosen protocols (Zigbee, LoRa, Cellular).
Layer 2 to Layer 3: Coordinator node transmits data securely to the cloud gateway
via internet connection (cellular, satellite).
Layer 3 Internal Communication: Cloud services utilize standard protocols (MQTT,
REST APIs) for data transfer and processing.
Layer 4 to Users: Users access weather data and applications through web browsers
or mobile apps.
Applications
Agriculture
Construction
Energy Sector
Transport & Logistics
Other recreational
activities (eg. Skiing,
Theme Parks, Trekking)
Thank you!
Do you have any questions?

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Weather Monitoring System ppt using iiot and modules

  • 2. Tip: Use links to go to a different page inside your presentation. How: Highlight text, click on the link symbol on the toolbar, and select the page in your presentation you want to connect. Agenda Need for Weather Monitoring Need for Iot Architecture Detailed Architecture Applications
  • 3. Need for Weather Monitoring Back to Agenda Page Disaster Preparedness: Essential for timely warnings and evacuations during natural disasters. Agricultural Efficiency: Vital for optimizing farming practices and minimizing crop losses. Transportation Safety: Ensures safe travel by air, land, and sea through accurate weather forecasts. Energy Sector Optimization: Helps in managing energy resources efficiently, especially from renewable sources. Environmental Protection: Contributes to understanding climate change trends and ecosystem impacts.
  • 4. Need for Iot Back to Agenda Page Delay in collection and transfer of data. Using internet connectivity Iot can predict weather much faster and accurately. Use of more sensors and satellite imaging to predict weather. From a business point of view the accuracy is very high leading to intellectual decisions driven by real-time data.
  • 5. Architecture Back to Agenda Page Level 5 Efficient Data Management Extended Sensor Life Scalable & Flexible Architecture
  • 6. Function: Collects Raw data from the environment. Temperature sensor (e.g., PT100 sensor) Humidity sensor (e.g., Capacitive sensor) Barometric pressure sensor (e.g., Piezoresistive sensor) Wind speed and direction sensor (e.g., Anemometer) Rain gauge (e.g., Tipping bucket rain gauge) Light sensor (e.g., Photodiode) Detailed Architecture Back to Agenda Page Layer 1: Perception Layer (Sensor Nodes):
  • 7. Back to Agenda Page Layer 2 Network Layer (Coordinator Node): Function: Acts as a central hub for the sensor network, managing communication and preprocessing data. Microcontroller (e.g., Arduino Due, Raspberry Pi) Wireless communication module (e.g., Zigbee module, LoRa module, Cellular modem) Power management system (e.g., Battery with solar panel for charging)
  • 8. Back to Agenda Page Layer 3 Processing Layer (Cloud Gateway & Data Processing/Analytics) Function: Receives data from the coordinator, stores it securely, and performs initial processing and analysis. Components: Cloud Gateway (provided by cloud platform services like AWS IoT Core, Microsoft Azure IoT Hub) Cloud Storage (e.g., Amazon S3, Microsoft Azure Blob Storage) Cloud Data Processing Services (e.g., AWS Lambda, Azure Functions)
  • 9. Back to Agenda Page Layer 4: Application Layer (Cloud Applications) Function: Provides user interface and functionalities for accessing, visualizing, and interacting with weather data. Components: Cloud Development Platform (e.g., AWS EC2, Microsoft Azure Virtual Machines) Web application framework (e.g., Django, Spring Boot) Mobile app development tools (e.g., React Native, Flutter)
  • 10. Back to Agenda Page Communication between Layers: Layer 1 to Layer 2: Sensor nodes communicate wirelessly with the coordinator node using chosen protocols (Zigbee, LoRa, Cellular). Layer 2 to Layer 3: Coordinator node transmits data securely to the cloud gateway via internet connection (cellular, satellite). Layer 3 Internal Communication: Cloud services utilize standard protocols (MQTT, REST APIs) for data transfer and processing. Layer 4 to Users: Users access weather data and applications through web browsers or mobile apps.
  • 11. Applications Agriculture Construction Energy Sector Transport & Logistics Other recreational activities (eg. Skiing, Theme Parks, Trekking)
  • 12. Thank you! Do you have any questions?