How to work with Thermic.ai data
Thermic.ai's temperature monitoring and analytics platform is proven to reduce food wate, prevent equipment breakdowns and reduce labor time in foodservice operations. While using Thermic.ai accomplishes these goals, it's essential to know what trends in your data to look for. Check out our list of the five most important insights you can draw from your sensor data.
How to access your sensor data
To begin, Thermic.ai presents the dashboard as the user's homepage. The first visualisation on the dashboard page is the temperature graph. Each colored line represents a separate sensor location. The temperature graph allows you to quickly identify spikes and shifts in temperature.
In general, measuring data over short periods such as minutes or hours, allows you to understand real-time events, such as the door of a walk in freezer being left open. Viewing progressions over extended periods can help indicate the need for equipment maintenance. Thermic.ai will automatically recognize your steady state patterns and monitor for equipment that is starting to behave in an odd manner. The event driven nature of Thermic also allows you to set up alarms, alerts and integrations to act on real-time measurements.
Gradual warming events
In the visual below, you will notice a gradual, upward trend in temperature for this unit since deployment.
In this situation, we recommend turning down the temperature of this unit to see if this resolves the increase in temperature. A slight increase in temperature over some time may be an early indicator that this unit will require maintenance soon.
Temperature excursions, dips and spikes
Based on this data set, we can see a substantial spike in temperature for this unit which has been operating normally for some time. This has increased the average temperature by nearly 15F. This also caused an alert to trigger for this sensor. There are many possible causes for this sort of reading including adding warm inventory to the coolers as well as degraded performance.
As in the previous example, we recommend turning down the thermostat of this unit to see if this resolves the increase in temperature. Or if new inventory has been added to the cooler, monitor the situation to make sure the temperature starts to decrease and get back to a normal state.
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Temperature spikes that are sudden and of a sufficient magnitude to increase the temperature above 40°F could indicate serious mechanical issues that could mean a serious problem with your equipment and damage if left unattended. In the case of a significant spike, we recommend relocating inventory and calling out an emergency maintenance team to inspect your equipment.
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Temperature fluctuations
In the diagram below, you can see multiple substantial variations in temperature for this unit. Some fluctuations are a normal method of operation for the cooler or freezer. Thermic.ai will be looking for fluctuations that are a variance to the overall average temperature you've configured as the base threshold.
We recommend examining how this equipment is being handled and stocked to extend the lifespan, lessen the overall power consumption, and reduce the number of alerts triggered for this unit.
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