Page 44 - RC18-EDGE Spring.FINAL
P. 44

Intelligent Buildings






          THREE QUESTIONS TO ASK


          WHEN VETTING INTELLIGENT



          BUILDING TECHNOLOGIES




          JEFF THOMPSON
          Co-Founder & CEO
          AwareManager

          RAY BRADBURY, UNSURPRISINGLY, was ahead of his
          time in the 1950s when he wrote so many of his stories
          and books about futuristic machines and their impact on
          characters’ lives in ways that, at the time, were unthink-
          able. Fast forward and today we’re living Bradbury’s
          imagination – lights that turn on when we enter the room,
          machines that eliminate the chores we hate doing, and
          the list goes on.

          Bradbury’s vision did fall short in one area. Most of his writ-
          ings about these ‘smart’ machines did not factor in how
          human behavior impacts the desired result. My point is
          that pure automation doesn’t make a building ‘intelligent.’
          For a building to be truly intelligent, it needs to be sensitive
          to its occupants, respond to their behaviors and anticipate
          their needs. For example, how smart could the building
          really be, if it completely misses the fact no one’s in it?

          The pursuit of intelligent buildings should always be
          informed by actual occupant behavior. While we’re not
          (yet) at the point where intelligent or smart building tech-
          nology can transform rooms based on our imaginations,
          these new tools, platforms and apps are changing how
          you run a building and the amenities you can offer to
          occupants through personalization and automation.

          As you look at solutions in the intelligent buildings cate-
          gory, here are three questions to ask to see if these tech-
          nologies will have a positive impact for our clients.
                                                              anyone puts in a hot/cold call. Another example would
          (1) Does this help anticipate occupants’ behavior and   be the thermostat in a conference room adjusted in the
          preferences?                                        afternoons when the sun hits that particular space and
          Personalizing for people’s preferences – accounting for   the room temperature rises. Another, non-temperature
          human behavior – is often the most difficult aspect to   example would be if a preventive maintenance task for
          factor into the building technology stack. Imagine that   a rooftop unit could be automatically rescheduled if it’s
          the office temperature for each of your tenants could   down pouring or too windy on the date it was originally
          adjust automatically based on their preference before   scheduled.

          42
   39   40   41   42   43   44   45   46   47   48   49