Thermal Power Generation with Geoseismic IoI Detection and Classification
Description
Overcomes the following problems: 1) the cost of replacement batteries, 2) the time it takes agents to constantly replace batteries, and 3) the problem of revealing the UGS location when replacing the batteries.
Detailed example
Alert with the classification and confidence interval for the Item of Interest (IoI).
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
Utilize seismic sensor data to determine Item of Interest in deployed locations. Increases situational awareness in austere environments and reduces need for battery replacement due to self-charging.
Controls / human review
ATO: Not reported; PIA: Not published