Hyper-local Weather and Pollution Data Gathering via Street Light Networks


Smart street lighting networks are evolving into multifunctional urban sensing platforms. Beyond controlling light levels, the poles are being equipped with sensors to monitor hyper-local air quality (PM2.5, NO2), noise pollution, temperature, humidity, and rainfall. This creates a dense, real-time map of environmental conditions across a city, providing data far more granular than traditional weather stations. Municipalities can use this data to identify pollution hotspots, manage urban heat islands, optimize waste collection routes based on bin fill-level sensors, and improve emergency response. The ubiquity of the lighting grid provides the perfect physical infrastructure for this sensor network, turning a city’s lighting assets into a central nervous system for civic management and environmental monitoring, delivering value far beyond illumination.

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