Systems and methods for assessing a facility based on audio/visual delta analysis

A tangible, non-transitory computer readable medium storing instructions that, when executed by a processor, are configured to cause the processor to:

• transmit a first set of image data and a second set of image data acquired by a camera of a multi-purpose sensor to a cloud-based computing system, wherein the first and second sets of image data comprise an image of a machine in an industrial automation application, an image of an environment surrounding the machine, or both, and wherein the second set of image data is acquired subsequent to when the first set of image data is acquired;
• receive a plurality of different types of sets of data associated with the machine or the environment from a plurality of sensors disposed within the multi-purpose sensor, wherein the plurality of different types of data comprises historical sensor measurements for each of the plurality of sensors over time when the machine is operating efficiently;
• determine a baseline individual measurement signature for each of the plurality of sensors based on the plurality of different types of sets of data, a collective measurement signature for the plurality of sensors based on the plurality of different types of sets of data, or both, wherein the baseline individual measurement signature and the collective measurement signature are associated with when the machine is operating efficiently;
• determine one or more baseline machine settings, one or more baseline machine operational parameters, or both associated with the baseline individual measurement signature, the collective measurement signature, or both;
• and
• determine a baseline individual measurement signature for each of the plurality of sensors based on the plurality of different types of sets of data, a collective measurement signature for the plurality of sensors based on the plurality of different types of sets of data, or both, wherein the baseline individual measurement signature and the collective measurement signature are associated with when the machine is operating efficiently;
• and
• determine one or more baseline machine settings, one or more baseline machine operational parameters, or both associated with the baseline individual measurement signature, the collective measurement signature, or both;
• and
• modify one or more current machine settings, one or more current machine operational parameters, or both to match the baseline machine settings, the baseline machine operational parameters, or both.

A method, comprising:

• receiving, via a processor, a first set of image data and a second set of image data from a camera of a multi-purpose sensor, wherein the first and second sets of image data comprise an image of a machine in an industrial automation application, an environment surrounding the machine, or both, and wherein the second set of image data is acquired subsequent to when the first set of image data is acquired;
• receiving, via the processor, a plurality of different types of sets of data associated with the machine or the environment from a plurality of sensors disposed within the multi-purpose sensor, wherein the plurality of different types of data comprises historical sensor measurements for each of the plurality of sensors over time when the machine is operating efficiently;
• determining, via the processor, a baseline individual measurement signature for each of the plurality of sensors based on the plurality of different types of sets of data, a collective measurement signature for the plurality of sensors based on the plurality of different types of sets of data, or both, wherein the baseline individual measurement signature and the collective measurement signature are associated with when the machine is operating efficiently;
• determining, via the processor, one or more subsequent individual measurement signatures for each of the plurality of sensors, a subsequent collective measurement signature, or both;
• determining, via the processor, when any of the subsequent individual measurement signatures, the subsequent collective measurement signature, or both deviate from the baseline individual measurement signature, the collective measurement signature, or both;
• and
• modifying, via the processor, one or more current machine settings, one or more current machine operational parameters, or both to cause the subsequent individual measurement signatures, the subsequent collective measurement signature, or both to converge toward the respective baseline individual measurement signatures, the collective measurement signature, or both.