Development of an Intelligent Building Lighting Control Platform for Commercial Energy Savings

The client faces high energy costs associated with lighting in commercial spaces, lacking an integrated system to automate and optimize lighting controls. Current solutions are manual or disconnected, resulting in inefficient energy usage and increased operational expenses.

A large-scale commercial building management company seeking to optimize lighting energy consumption through smart automation and IoT integration.

• Create a robust web-based platform capable of automating lighting controls in commercial buildings.
• Implement features such as daylight harvesting, occupancy sensing, and task tuning to significantly reduce lighting energy costs.
• Achieve potential energy cost reductions of up to 70% through intelligent automation.
• Ensure the platform provides an intuitive, user-friendly interface for facility managers and end-users.
• Integrate IoT sensors and data collection mechanisms to enable real-time optimization.

• User authentication and role-based access control
• Dashboard displaying real-time lighting and sensor data
• Automation rules for daylight harvesting based on ambient light levels
• Occupancy sensing integration for automatic lighting adjustments
• Task tuning options for different lighting scenarios
• Sensor data collection and storage for analysis and optimization
• Manual override and scheduling capabilities
• Report generation on energy savings and system performance

• IoT sensors for ambient light and occupancy detection
• Data storage solutions
• User authentication services

• Scalability to support multiple commercial buildings
• High performance with real-time data processing
• Robust security protocols to protect user data and system integrity
• Reliability with minimal downtime
• Compliance with relevant data privacy standards

The implementation of this smart lighting control platform is projected to enable significant energy savings of up to 70%, reducing operational costs and enhancing environmental sustainability for the client. Additionally, it will improve user experience, facilitate better building management, and provide data-driven insights for ongoing optimization.