Development of a Multi-Sensor Data Visualization and Energy Optimization Platform for Commercial Buildings

Clients overseeing multiple buildings face difficulties in remotely monitoring diverse sensor data across various locations, demonstrating the value of energy savings to end-users, supporting multilingual operations across different markets, and seamlessly scaling the platform while integrating various sensor data sources. These challenges hinder effective decision-making, operational efficiency, and client satisfaction.

A mid-sized energy management company specializing in optimizing building energy consumption and reducing carbon footprints across multiple markets with multilingual support.

• Create an intuitive dashboard aggregating data from multiple sensors and building management systems to enable remote monitoring of parameters such as temperature, humidity, connection status, and energy usage.
• Implement features to visualize historical data and weather forecasts, allowing customizable metrics comparison for end-user demonstrating tangible energy and cost savings.
• Develop multilingual support to ensure seamless operation and reporting across diverse European markets, supporting at least 7 languages.
• Integrate with various sensor and device data collectors to facilitate a unified view of system health and energy consumption.
• Support a scalable, secure platform capable of expanding to additional clients and markets without compromising performance or security standards.

• A multi-source data dashboard that consolidates sensor data including temperature, humidity, device status, and energy metrics.
• Historical data visualization modules with filtering and comparison capabilities.
• Forecasting modules to project future energy consumption based on current data and weather inputs.
• Multi-language user interface supporting at least 7 languages for international markets.
• User role management and access controls for different stakeholder groups, including remote experts and end-users.
• Real-time alerts and notifications for system anomalies or energy consumption deviations.
• Data export and reporting functionalities for detailed analysis and presentation.

• Sensor and device data collectors across multiple buildings
• Weather data APIs for forecasting modules
• User authentication and role management systems
• External analytics and reporting tools

• Platform should support concurrent access by multiple users without performance degradation.
• System should update sensor data at least every few seconds for real-time monitoring.
• Ensure data security and privacy compliant with applicable regulations, including role-based access controls.
• System should be scalable to accommodate at least 50+ buildings initially, with capacity to expand.

The implementation of this platform aims to improve remote monitoring efficiency, increase transparency in energy savings for clients, and support multi-market operations. Expected outcomes include enhanced client satisfaction, reduction in energy costs by approximately 10-15%, and the ability to support multilingual and scalable deployment across multiple regions.