Development of a Smart Building Management Platform with IoT Integration and Advanced Analytics

Building management involves complex operations and maintenance processes that are often manual and inefficient. Existing systems lack scalability, real-time data insights, and automated alerts, which hampers tenant comfort, health, and operational efficiency. There is a need to digitize building management by integrating sensors and AI to create a scalable, high-performance platform that improves building health, safety, and user experience.

A large commercial real estate management company seeking to automate and optimize building operations through IoT and AI-driven analytics.

• Refactor and optimize core APIs and repositories to achieve a 60% increase in system performance.
• Develop a comprehensive platform integrating hyperprecise sensors for detailed building monitoring across multiple floors.
• Create analytical dashboards and configurable user alerts to enable proactive management and maintenance.
• Integrate multiple sensor vendors for broader compatibility and data collection.
• Setup cloud-backed databases to ensure 30% increased scalability and support growth across various categories.
• Implement health and safety-enhancing features such as an indoor environment quality monitoring system for healthier buildings.
• Support rollout of the platform to facilitate large-scale deployment in enterprise environments.

• A refactored, high-performance API and data repositories to handle increased load and data throughput.
• Floorplan visualization with hyperprecise sensors embedded to monitor environmental and structural parameters.
• An internal analytics dashboard providing real-time insights into building health metrics and operational data.
• Configurable user alert system to notify facility managers of anomalies or maintenance needs.
• Integration with multiple sensor vendors to ensure broad compatibility across different hardware providers.
• AWS-backed databases and cloud infrastructure to support scalability and continuous growth.
• Indoor environmental quality monitoring (e.g., air quality, temperature, humidity) to promote healthier indoor spaces.

• Sensor vendors' hardware and data APIs for seamless data ingestion
• AWS cloud services for hosting, database management, and scalability
• Notification systems for alert delivery
• Analytics tools for data processing and visualization

• System performance optimized to handle 60% increased data throughput post-refactoring
• Scalability to support 30% growth in sensor data and users
• High system uptime and reliability through robust cloud infrastructure
• Secure data transmission and storage adhering to best practices
• Responsive dashboards accessible across devices for real-time insights

The platform aims to significantly enhance operational efficiency, scalability, and user satisfaction in building management. Targeted results include a 60% improvement in system performance, a 30% increase in scalability to support growing sensor data and user base, and improved indoor environmental quality monitoring to promote healthier, safer building environments. These improvements are expected to facilitate large-scale deployment, optimize maintenance workflows, and support a data-driven approach to building operation.