Logo
  • Cases & Projects
  • Developers
  • Contact
Sign InSign Up

Here you can add a description about your company or product

© Copyright 2025 Makerkit. All Rights Reserved.

Product
  • Cases & Projects
  • Developers
About
  • Contact
Legal
  • Terms of Service
  • Privacy Policy
  • Cookie Policy
Intelligent IoT-Integrated Street Lighting Control System for Smart Cities
  1. case
  2. Intelligent IoT-Integrated Street Lighting Control System for Smart Cities

Intelligent IoT-Integrated Street Lighting Control System for Smart Cities

experionglobal.com
Utilities
Government

Challenges Faced by Utility Authorities in Managing Street Lighting

A utility authority managing city street lighting faces issues such as excessive energy consumption due to lights remaining on during daylight hours, delays in repairing malfunctioning lights leading to safety concerns, and a lack of an accurate monitoring system to assess lighting energy usage, resulting in financial inefficiencies and reduced public satisfaction.

About the Client

A regional public utility authority responsible for electricity distribution seeking to modernize street lighting infrastructure.

Goals for Implementing an Advanced Street Lighting Management System

  • Reduce energy consumption and operational costs associated with street lighting by integrating intelligent control.
  • Enhance responsiveness and maintenance efficiency to minimize streetlight downtime, aiming for an average repair time reduction from 9 days to approximately 2 days.
  • Implement a reliable remote monitoring system to assess real-time energy usage and operational status of streetlights.
  • Enable remote scheduling and control of streetlights through web and mobile interfaces, enhancing operational flexibility.
  • Ensure system security through robust password protection and access controls.
  • Deploy scalable solutions capable of managing a large fleet of streetlight controllers, e.g., around 20,000 units.

Core Functional Features for the Intelligent Street Light Control System

  • IoT-enabled street light controllers with status reporting to central systems.
  • Remote control capabilities for switching lights on/off and adjusting schedules via web and mobile platforms.
  • Real-time status monitoring including operational data and energy consumption metrics.
  • Automated scheduling system for day/night operation based on time and environmental data.
  • Fault detection and alert mechanisms for malfunctioning or non-responsive lights.
  • Secure access with password protection and user authentication.
  • Scalable architecture supporting deployment of thousands of units.

Preferred Technologies and Architectural Approach

IoT microcontrollers using industry-standard frameworks (e.g., PIC or equivalent).
Cellular communication modules such as GSM/GPRS or LTE modules for remote connectivity.
Real-time data transmission protocols for reliable status updates.
Web and mobile application platforms for remote management and control.
Secure authentication protocols to safeguard system access.

Necessary External System Integrations

  • SCADA or equivalent supervisory system for centralized monitoring.
  • Mobile and web interfaces for user management and control.
  • Fault reporting and alert systems for maintenance support.

Key Non-Functional System Requirements

  • Scalability to support up to 20,000 street light controllers.
  • System availability with minimal downtime, aiming for 98% uptime.
  • Secure data transmission and system access, with password protection and authentication.
  • Low latency in status updates and control commands to ensure prompt response.
  • Cost-effective hardware and software solutions for maintenance-free operation.

Projected Business Impact and System Benefits

Implementation of the IoT-enabled street lighting control system is expected to reduce energy consumption by approximately 10% within the first month, resulting in significant cost savings. Additionally, enhanced remote monitoring and maintenance capabilities will decrease streetlight downtime from an average of 9 days to around 2 days, improving public safety and satisfaction. The scalable system will support efficient management of large asset fleets, facilitating ongoing operational efficiencies and cost reductions.

More from this Company

Automated Financial Operations and Data Integration System for Global Business Service Provider
Mobile-based Customer Screening and Demographic Analytics System for Club Chains
Comprehensive Cloud-Based Port Operations Management System
Development of an AI-Powered Sales Performance Training Platform
Development of a Real-Time Shipment Tracking and Visibility Platform for Logistics Providers