Automated Analysis, Reporting, and Archiving for Robotic Nondestructive Assay of Holdup Deposits

by   Heather Jones, et al.

To decommission deactivated gaseous diffusion enrichment facilities, miles of contaminated pipe must be measured. The current method requires thousands of manual measurements, repeated manual data transcription, and months of manual analysis. The Pipe Crawling Activity Measurement System (PCAMS), developed by Carnegie Mellon University and in commissioning for use at the DOE Portsmouth Gaseous Diffusion Enrichment Facility, uses a robot to measure Uranium-235 from inside pipes and automatically log the data. Radiation measurements, as well as imagery, geometric modeling, and precise measurement positioning data are digitally transferred to the PCAMS server. On the server, data can be automatically processed in minutes and summarized for analyst review. Measurement reports are auto-generated with the push of a button. A database specially-configured to hold heterogeneous data such as spectra, images, and robot trajectories serves as archive. This paper outlines the features and design of the PCAMS Post-Processing Software, currently in commissioning for use at the Portsmouth Gaseous Diffusion Enrichment Facility. The analysis process, the analyst interface to the system, and the content of auto-generated reports are each described. Example pipe-interior geometric surface models, illustration of how key report features apply in operational runs, and user feedback are discussed.


page 2

page 4

page 6

page 7

page 8

page 13


A Robot for Nondestructive Assay of Holdup Deposits in Gaseous Diffusion Piping

Miles of contaminated pipe must be measured, foot by foot, as part of th...

Crashing Privacy: An Autopsy of a Web Browser's Leaked Crash Reports

Harm to the privacy of users through data leakage is not an unknown issu...

A total hip surgery robot system based on intelligent positioning and optical measurement

This paper represents the development and experimental evaluation of an ...

CLARA: Clinical Report Auto-completion

Generating clinical reports from raw recordings such as X-rays and elect...

Quality assessment of image matchers for DSM generation – a comparative study based on UAV images

Recently developed automatic dense image matching algorithms are now bei...

A data acquisition setup for data driven acoustic design

In this paper, we present a novel interdisciplinary approach to study th...

On the De-duplication of LAION-2B

Generative models, such as DALL-E, Midjourney, and Stable Diffusion, hav...

Please sign up or login with your details

Forgot password? Click here to reset