OMB Individually Reported
Performance Monitoring at the Salt Waste Processing Facility (SWPF)
Medium riskExact public inventory row
Description
With data from SWPF instrumentation, train neural networks to consider process parameters and chemical speciation data from incoming salt batches to predict filtration rate performance.
Detailed example
Textual output; processing parameters
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
Proactive monitoring of complex facility processes with only select instrumentation data to guide prediction process operations
Audit / financial statement impact
In development stage and impact has not been determined
Controls / human review
ATO: Not reported; PIA: Not published