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Design and Implementation of a Scalable IoT Management Platform for Smart City Street Lighting Networks
  1. case
  2. Design and Implementation of a Scalable IoT Management Platform for Smart City Street Lighting Networks

Design and Implementation of a Scalable IoT Management Platform for Smart City Street Lighting Networks

sigma.software
Utilities
Telecommunications
Energy & natural resources

Challenges in Managing and Scaling Urban Street Lighting Systems

The client faces difficulties in remotely monitoring, configuring, and managing extensive street lighting networks across multiple cities. Existing systems lack scalability, ease of maintenance, and are inefficient in handling heavy, dynamic loads. Additionally, implementing a user-friendly device commissioning process and enhancing customer support workflows are pressing needs to improve operational efficiency and end-user satisfaction.

About the Client

A large municipal authority or utility company managing urban street lighting infrastructure seeking an efficient, scalable control system.

Goals for Developing a Robust Smart Street Lighting Management System

  • Develop a scalable and user-friendly IoT web platform enabling remote monitoring, configuration, and management of streetlight networks at citywide and individual luminaire levels.
  • Implement features for on/off/dimming control, scheduled illumination, and event-based adjustments with support for multiple control groups.
  • Design a commissioning mobile app to streamline device deployment and installation by field technicians.
  • Ensure real-time monitoring of power consumption, voltage, and diagnostics, along with alerts for hardware or power line malfunctions.
  • Optimize customer support workflows by integrating communication channels into a unified ticketing and knowledge management system.

Core Functional Specifications for the Smart Lighting Control Platform

  • Web-based platform architecture supporting remote device management and configuration.
  • Device control features including on/off, dimming, and scheduling with support for multiple events within a 24-hour window.
  • Monitoring of line voltage, power consumption, and hardware diagnostics with alert mechanisms.
  • Mobile commissioning app to facilitate rapid device deployment and technician guidance.
  • Support for remote diagnostics, alerts, and maintenance planning tools.
  • Integrated customer support portal with request submission, status tracking, and a centralized knowledge base.
  • Internal support knowledge repository for troubleshooting, process documentation, and support workflows.

Recommended Technology Stack and Architectural Approaches

Cloud-based scalable architecture with RESTful APIs
Web platform utilizing modern JavaScript frameworks for UI
Cross-platform mobile app development for field technicians
IoT protocols such as MQTT or CoAP for device communication
Use of existing enterprise support tools for ticketing and knowledge management

Essential External Systems and Data Integrations

  • Device management middleware and device firmware APIs
  • Customer support ticketing and knowledge base systems
  • Power grid monitoring systems and hardware diagnostics interfaces

Performance, Security, and Scalability Expectations

  • System must support management of hundreds of thousands of devices across multiple cities
  • Real-time data processing and alert notifications within seconds
  • High system availability with 99.9% uptime
  • Secure data transmission and user authentication protocols
  • Responsive UI/UX for web and mobile interfaces

Projected Business Benefits and Operational Improvements

The implementation of the smart street lighting management system is expected to enhance operational efficiency by enabling remote configuration and diagnostics, reducing maintenance costs through predictive alerts, and improving end-user satisfaction with a user-friendly commissioning process. The system aims to scale effectively to manage hundreds of thousands of devices, leading to improved urban lighting control and support processes, ultimately resulting in more reliable and cost-efficient city lighting infrastructure.

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