S.M.A.R.T Sensor

Spherical Motion Average Radiant Temperature Sensor

Knowing people and their thermal comfort.

While it accounts for ½ of human comfort, radiant temperature is rarely measured, or controlled, in existing building systems. This prevents us from heating and cooling buildings in a truly effective way.

SMART Sensors collects geometry alongside thermal data, correlating the two with an algorithm that allows us to characterize the occupants’ location and their comfort levels at all locations in a room.

Heat People NOT Spaces.

Save Money. Save Energy.

Moving from heating spaces to heating people could lower energy input by up to 50%.[1]

Data gathered on a SMART Sensor can provide accurate head-counts on a per-room basis. This previously unavailable data will allow buildings to selectively condition spaces only when occupants are present.

In pilot studies where occupant tracking technologies were used, the amount of time spent heating empty rooms dropped by a factor of 12[2], from a conventionally programmable thermostat. In addition, high-resolution occupancy data is a valuable asset to building owners, operators, and designers.

Occupancy Detection.

We are combining our radiant thermal comfort model with machine learning to find, count, and characterize occupants. This new system will also be able to determine body temperature, enabling smart building controls to deliver even more comfort.

Personal. Comfort.

Pilot research suggests that measuring occupant skin temperature can accurately characterize their individual comfort level. By integrating with location-specific heating, SMART-enabled buildings could accurately assess and cater to individual people, without the need of any thermostat or system programming.

Powerful Diagnostics.

SMART Sensor can send real-time data to your mobile devices.

Drastically increased resolution of temperature readings alongside geometry measurements collected by the SMART Sensor allows more insight to the radiant environment to be used by not only building operations staff as much as consumers,  while dropping costs by 80%.

How it works.

The SMART sensor collects angular information alongside readings a Lidar-lite rangefinder and Melexis temperature sensor through sensor window with 2-axis movement.

A diagram of the completed sensor showing the two axes of rotation.

The sensors rotates 360˚ around B axis and 180˚ around A axis to provide a full synopsis of the radiant environment surrounding the location of the sensor. The spherical coordinates can then generated from the angular direction and distances at the point of measurement, essentially allowing a thermal map to be generated(following figure is unwrapped in 2D for better viewing:

Thermal Map of Open-plan research space (Unfoloded)

[1]Hoyt, T., Arens, E., & Zhang, H. (2015). Extending air temperature setpoints: Simulated energy savings and design considerations for new and retrofit buildings. Building and Environment, 88, 89-96. doi:10.1016/j.buildenv.2014.09.010

[2]Scott, James, A.j. Bernheim Brush, John Krumm, Brian Meyers, Michael Hazas, Stephen Hodges, and Nicolas Villar. “PreHeat.” Proceedings of the 13th international conference on Ubiquitous computing – UbiComp ’11 (2011): n. pag. Web.