Smart Software Predictions

IoT seems to be a buzz word as of late, and with everything connected…you have to wonder why? Convenience is a huge piece of it, but it also comes down to these smart systems and how they are interconnected to every aspect of our lives. Smart systems produces data; how can you act on this data? Well unless you know and understand how to decipher it, you can’t. Here at Small Box Energy, our client success managers are what sets us apart from our competition in that they are here to turn ordinary data into smart, actionable data for you. In our daily pulls, we collect over 140,000 data points that span across several different brands, in a single day. All this data comes in the form of graphs and numbers. The graphs are not difficult to decipher, however when the whole reason you purchase a specific software is to save time, so you can see where this can cause problems. Our client success team uses trend graphs to decipher and predict future equipment failures. The graphs below are some of the many ways that our system and data can help reduce costly repairs.

Data In Action

In the graph above our client success managers used the data to determine that the set point of the A/C was set too low, this caused the compressor to run almost for the entire day. The constant running compressor can cause wear and tear to occur at a more accelerated rate because the unit is never shutting off and getting a break.

This graph shows the compressor run time after the temperature on the thermostat was raised by 2 degrees. The run-time was cut by 20%, which increases the life of the compressor, and you avoid paying for costly repairs all because the temperature was set too low.

The next example is similar the last. The walk-in freezer at a restaurant was never reaching the set temperature, continuously running. Therefore it was running excessive defrost cycles to compensate. The client success manager used the data from smart system to determine where the problem started and possible causes. 

The coil in the refrigeration unit was never reaching the set temperature which caused the unit to go into defrost more often than it should have, this increases unnecessary energy consumption but most of all it increased wear and tear on the compressor.

Visibility Breeds Predictions

These are things we see day after day, the chances that all of your equipment in your restaurant or convenience store is running at 100% is slim. Smart systems like chameleon give you the visibility into your store operations as you have never seen before. The difference is before; you were never aware that your compressor in your walk-in was on all the time until you had to fix it when you had just repaired it recently unexpectedly. By merely having these graphs we are saving hundreds of restaurant owners and convenience store owners thousands of dollars in predicting future failures in their kitchen equipment.

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