Quality Control Methodologies for Advanced EMI Sensor Data Acquisition and Anomaly Classification

MR-201231

Demonstration Summary

This project will demonstrate the use of advanced electromagnetic induction (EMI) sensors and data analysis methods to validate anomaly classification capabilities while developing a robust cradle-to-grave quality control (QC) program designed to monitor the effectiveness of the classification decisions. As part of this project, MetalMapper and UX-Analyze will be implemented at a live munitions response site to detect and classify munitions and explosives of concern (MEC) from inert debris, reducing the amount of intrusive work necessary to complete remediation. A QC program will be implemented and specifically intended to provide defensible, high quality data through monitoring initial anomaly detection capabilities, instrument functionality, results repeatability, and anomaly classification success.

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Technology Description

Digital geophysical mapping surveys using industry standard EM61-MK2 sensors will be performed at the demonstration site to develop an initial target list similar to those generated under current munitions response project practices. Geometrics MetalMapper will then be deployed at each target location to acquire static cued investigation data necessary for classification. Data will be modeled in UX-Analyze to develop a prioritized target list with associated classification result based on the extracted target parameters. Targets of interest identified as part of the classification will be evaluated against the actual intrusive investigation results to determine if MEC and non-hazardous items were correctly identified. Throughout the demonstration project a QC program will be instituted to monitor sensor functionality and repeatability. A site-wide seeding program and instrument verification strip (IVS) will be used as a basis to evaluate MetalMapper before, during and after cued investigations. Redundant processes can be evaluated for repeatability and trends to determine functionality. Daily modeling results and reproducible target parameters from IVS and production area seed items will demonstrate system capabilities throughout the life of the project. Quantitative and qualitative performance objectives will be developed and tracked to determine feasibility and effectiveness of integrating advanced sensors and data analysis methods on live production sites as well as advancing standard QC protocols for use with MetalMapper and UX-Analyze.

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Points of Contact

Principal Investigator

Mr. Ryan Steigerwalt P.G.

Weston Solutions, Inc.

Phone: 267-258-2672

Program Manager

Munitions Response

SERDP and ESTCP

Document Types

  • Fact Sheet - Brief project summary with links to related documents and points of contact.
  • Final Report - Comprehensive report for every completed SERDP and ESTCP project that contains all technical results.
  • Cost & Performance Report - Overview of ESTCP demonstration activities, results, and conclusions, standardized to facilitate implementation decisions.
  • Technical Report - Additional interim reports, laboratory reports, demonstration reports, and technology survey reports.
  • Guidance - Instructional information on technical topics such as protocols and user’s guides.
  • Workshop Report - Summary of workshop discussion and findings.
  • Multimedia - On demand videos, animations, and webcasts highlighting featured initiatives or technologies.
  • Model/Software - Computer programs and applications available for download.
  • Database - Digitally organized collection of data available to search and access.