How to Use Artificial Intelligence to Improve Occupancy Assessment
Occupant comfort is defined by the U.S. Green Building Council as creating an environment that is visually stimulating, thermally acceptable, and acoustically comfortable and delivers superior air quality. Accurately assessing the occupant comfort level in a building should be an integral part of a company’s intelligent energy management system (EMS). Artificial intelligence (AI) is an important component in assessing specific energy consumption in a building, and enhancing occupancy assessment. Innovative AI uses machine learning and predictive modeling to recommend improvements, and execute important actions to decrease energy usage and make occupants more comfortable in the facility. Consider the following ways that the FuseMap EMS uses AI to improve the occupancy assessment process.
Intelligent Energy Management System
The FuseMap intelligent EMS uses pioneering deep learning techniques, machine learning, and intricate algorithms to mine data, suggest enhancements, and perform insightful decision-making. Their system uses high-caliber sensor fault detection, occupant evaluation at seat level, and predictive modeling founded on 2-minute sensor data. The programmable HVAC and lighting operational management system makes it easier to become energy efficient, and ensure total occupancy comfort levels by programming for specified shift schedules.
• Cloud-Based Analytics Software– Occupant assessment is enhanced with plug-load technology that enables management to review modules for conveyed data from plug devices to the service location protocol (SLP). Data received from the plug loads can be measured, controlled, and individually monitored. Pattern recognition is used to quickly merge energy consumption data, temperature data, and occupant assessment data. In addition to simply detecting inefficiencies so energy-saving action can be taken, the FuseMap EMS can assess occupant energy usage in various buildings, floors, and individual seats or workstations.
• Centralized Database– Management can more easily complete occupant assessment with this centralized database that uses pioneering data analysis tools to implement standardization and automation so analyzing data sets is completed through the AI software, while saving the company time and effort. The FuseMap software program will provide simplified results from amalgamated data pertaining to each floor plan, plug-load device, and thermostat.
• Occupant Educational System– Their EMS offers an online education platform where occupants can receive training on IEM techniques to help the company achieve their sustainability goals. When employees are better informed on options like proper computer power management (CPM) to increase energy efficiency, they will make the right decisions regarding energy usage.
As the occupant assessment regularly continues, management will begin to see a decrease in energy usage for employees. These regular assessments can ensure that the company moves forward toward enhanced sustainability. The Occupant Comfort Survey from the U.S. Green Building Council can be used to survey occupants regarding comfort levels in the facility. Using AI technology integrated in the FuseMap EMS to analyze the accrued data, can give you fast and precise results so you can implement action steps to resolve any occupant comfort level issues that m
