
Smart Streetlight Optimization Dashboard
Description:
The Smart Streetlight Optimization Dashboard is a web-based IoT and data analytics system that monitors and controls streetlight operations to reduce energy consumption and improve efficiency.
It uses motion sensors, ambient light sensors, and real-time traffic data to adjust streetlight brightness dynamically.
This system allows municipal corporations to remotely track streetlight performance, detect faults, and analyze historical energy usage trends for better planning and cost savings.
Key Features:
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Real-Time Monitoring – Displays the operational status and brightness levels of streetlights on a live dashboard.
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Dynamic Brightness Control – Adjusts light intensity based on pedestrian or vehicle movement.
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Ambient Light Integration – Automatically dims or switches off lights during daylight hours.
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Energy Consumption Analytics – Shows daily, weekly, and monthly power usage patterns.
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Fault Detection Alerts – Notifies maintenance teams when a streetlight malfunctions.
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Scheduling & Automation – Allows setting custom on/off times for specific zones.
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Map-Based Visualization – Displays streetlight locations with status indicators (ON, OFF, DIM, Faulty).
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Mobile-Friendly Dashboard – Enables remote monitoring and control via smartphones.
Technology Stack:
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Backend: Node.js / Java / PHP (REST APIs for IoT device control)
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Frontend: HTML, CSS, Bootstrap, JavaScript (Leaflet.js / Google Maps API for location mapping)
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Database: MySQL / MongoDB (stores streetlight data, schedules, and energy usage)
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Data Science Layer: Python (pandas, NumPy, scikit-learn for energy optimization algorithms)
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IoT Integration: Motion sensors (PIR), light sensors (LDR), and smart controllers (Arduino, ESP8266, or Raspberry Pi) for streetlights
Example Use Case:
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A smart city installs motion and light sensors on 500 streetlights.
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During late-night hours with low traffic, the system dims lights to 40% brightness to save power.
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When a pedestrian or vehicle is detected, the nearby lights increase to 100% brightness automatically.
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This results in up to 60% energy savings and reduced maintenance costs.