Smart Urban Lighting Management System for Enhanced Citywide Control and Automation

The client faces difficulties in managing and maintaining extensive street lighting networks, including manual oversight inefficiencies, lack of real-time control, inadequate support for smart city integrations, complex scheduling, and limited data accuracy. Existing systems are obfuscated, difficult to interface with third-party solutions, and lack robust automation, leading to increased operational costs and reduced responsiveness during faults or emergencies.

A large metropolitan municipality or city authority seeking to modernize and automate its street lighting infrastructure, improve energy efficiency, and integrate with smart city services.

• Develop a web-based platform enabling remote monitoring and control of all lighting units via internet connectivity.
• Implement automated scheduling and override capabilities for lighting operations based on time, geolocation, and sensor inputs.
• Facilitate seamless integration with smart sensors such as photosensors and motion detectors for adaptive lighting.
• Create a scalable inventory management system for lighting hardware from multiple vendors.
• Design comprehensive reporting dashboards for faults, energy consumption, and operational metrics.
• Ensure compliance with open standards (e.g., TALQ) for compatibility with third-party control systems.
• Provide secure APIs and mobile applications for field operatives to perform fault diagnostics and repairs efficiently.
• Implement advanced fault detection, real-time notifications, and performance tracking of maintenance staff.
• Migrate the system to cloud hosting to optimize infrastructure costs and enhance scalability.

• Map-based interface displaying real-time data and control options for each lighting node using mapping services like Google Maps and OpenStreetMap.
• Inventory management of lighting hardware, vendors, and associated equipment, including CRUD operations.
• Automated background tasks for data collection, fault detection, and measurement analysis to reduce manual intervention.
• Flexible scheduling system for light switching regimes based on time zones, environmental sensors, and manual overrides.
• Switching groups and sensor-based commands to automate lighting adjustments dynamically.
• Third-party API interfaces for external systems to securely access control functions.
• Mobile applications supporting operatives in fault diagnosis, real-time operational adjustments, and data collection.
• Security protocols implementing message-level security, role-based access control, and OAuth/Azure AD authentication.
• Rich dashboards and customizable reports for faults, network status, energy usage, and operational insights.
• Open standards compliance (e.g., TALQ) to enable interoperability with other city management systems.

• Third-party smart city sensors (photosensors, motion detectors)
• Vendor inventory management systems
• Third-party control systems via TALQ or similar standards
• Notification and alert systems via email/SMS
• Performance monitoring tools and analytics platforms

• Scalability to support over 200,000 street poles
• High system availability and fault tolerance
• Data security with encryption and role-based access
• Real-time performance with minimal latency for control commands
• Automatic failover and backup protocols
• Compliance with open standards for system interoperability
• Cloud-hosted infrastructure optimized for cost and performance

The new system aims to significantly enhance operational efficiency, reducing manual intervention and maintenance costs while increasing responsiveness to faults. It will provide precise control over lighting schedules, optimize energy consumption, and enable smarter city services through seamless integration with sensors and external systems. The system is projected to manage over 200,000 street poles, offer advanced fault detection and reporting, and improve the overall safety and sustainability of urban environments.