Robot-assisted monitoring of potential heat anomalies in a datacenter rack assemblies

A method of monitoring thermal conditions for points-of-interest (POIs) in a datacenter, comprising:

• accessing environmental temperature data of a location within the datacenter provided by at least one thermal sensor;
• accessing electrical power consumption data of servers operating in the datacenter provided by a plurality of power distribution units (PDUs);
• accessing a plurality of surface temperature images of a POI, of the POIs, captured by one or more thermal cameras of a mobile robot navigating throughout the datacenter via a transit route directed towards the POI, a capture of the plurality of surface temperature images comprising:
• capturing a first surface temperature image of the POI at a first time instance;
• and
• capturing a second surface temperature image of the POI at a second time instance that is later than the first time instance;
• determining, by a datacenter operations controller, a potential anomalous thermal condition of the POI based on a correlation between at least one of the plurality of surface temperature images of the POI and at least one of:
• (i) the environmental temperature data, and (ii) the electrical power consumption data, the method of determining of the potential anomalous thermal condition further comprises:
• generating a temperature gradient profile associated with the POI based on the first surface temperature image and the second surface temperature image, in which the temperature gradient profile determines a rate of temperature change between the first time instance and the second time instance;
• comparing the temperature gradient profile of the POI with a correlation look-up table comprising a set of correlations between the environmental temperature data, the electrical power consumption data, and expected temperatures of the POIs, a potential anomalous thermal condition being identified based on a change in the environmental temperature data from past temperature data based on the temperature gradient profile and/or an inconsistency between the environmental temperature data and the electrical power consumption data based on the temperature gradient profile;
• and
• causing at least one server corresponding to the POI to power down based on the temperature gradient profile.

A non-transitory computer-readable medium comprising:

• computer-readable instructions that, upon being executed by at least one processor, cause the at least one processor to:
• access environmental temperature data of a location within a datacenter provided by at least one thermal sensor;
• access electrical power consumption data of servers operating in the datacenter provided by a plurality of power distribution units (PDUs);
• access a plurality of surface temperature images, of a point-of-interest (POI) within the datacenter, captured by one or more thermal cameras of a mobile robot navigating throughout the datacenter via a transit route directed to the POI, a capture of the plurality of surface temperature images comprising:
• capturing a first surface temperature image of the POI at a first time instance;
• and
• capturing a second surface temperature image of the POI at a second time instance that is later than the first time instance;
• and
• determine, by a datacenter operations controller, a potential anomalous thermal condition of the POI based on a correlation between at least one of the plurality of surface temperature images of the POI and at least one of:
• (i) the environmental temperature data, and (ii) the electrical power consumption data, wherein determining the potential anomalous thermal condition comprises:
• generating a temperature gradient profile associated with the POI based on the first surface temperature image and the second surface temperature image, in which the temperature gradient profile determines a rate of temperature change between the first time instance and the second time instance,
• comparing the temperature gradient profile of the POI with a correlation look-up table comprising a set of correlations between the environmental temperature data, the electrical power consumption data, and expected temperatures of POIs, a potential anomalous thermal condition being identified based on a change in the environmental temperature data from past temperature data based on the temperature gradient profile and/or an inconsistency between the environmental temperature data and the electrical power consumption data based on the temperature gradient profile;
• and
• causing at least one server corresponding to the POI to power down based on the temperature gradient profile.