Another critical element of the project is to take various data feeds from sensors across the building (air quality, motion, energy, HVAC parameters) and use them to manage the building In the most optimal way.
This will ensure efficient performance and seamless integration with the building management system for better outcomes (such as improved air quality, reduced energy usage etc.) for occupants and building managers.
To achieve safe and effective function across the project, it’s crucial that the AI model is developed with correct guard rails and relevant redundancies. For this, we are using a Deep Reinforcement Model (DRL) for training and development.
👉To read the full story: https://pblockproject.com/updates/ai-integration-for-p-block-blueprint/