Building Climate-Resilient Campuses with IoT Weather Stations for Data-Driven Sustainability
BIET
UN SDG 13 - CLIMATE ACTION
Jhansi
Pain Points
Campus lacked reliable weather insights for planning and sustainability.
Unpredictable Weather Conditions
Absence of accurate, localized data made it difficult to predict temperature, rainfall, and humidity patterns.
Limited Research Data
Students and researchers faced challenges accessing real-time weather metrics for climate analysis.
Energy and Resource Inefficiency
Uninformed decisions led to higher energy usage in irrigation and campus utilities during seasonal shifts.
Our Offerings
Deployed IoT weather monitoring stations to collect, analyze, and visualize real-time data.
Smart Weather Station Integration
Installed WSS-09 and WSS-22 sensors for accurate multi-parameter data including wind, rainfall, and humidity.
Cloud-Based Data Monitoring
Integrated cloud dashboard enabled live data access and historical analysis for campus users.
Data Analytics for Planning
Enabled trend analysis for optimizing irrigation schedules, power usage, and environmental planning.
Research Support Framework
Supported academic research with continuous atmospheric data for environmental and agri studies.
Outcomes
Accurate Local Weather Insights
Provided precise, real-time data improving campus readiness for weather variations.
Enhanced Research Opportunities
Enabled students to conduct accurate weather-based studies for sustainable agriculture projects.
Energy Optimization
Data-driven analysis reduced unnecessary energy use in water and resource management systems.
Sustainable Campus Operations
Improved eco-friendly initiatives with smart monitoring and climate-resilient infrastructure.
The IoT weather station helped us make data-driven environmental decisions campus-wide.
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