Asset Modification Detection Using Shift Report Correlation
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Solution Overview
Problem
Facilities with continuous operations face challenges in identifying unauthorized modifications to assets, which can lead to accidents, operational deviations, and increased costs due to the difficulty in capturing such modifications in operation shift reports.
Innovation Solution
An Unauthorized Modification Identification System (UMIS) that utilizes an asset modification detector and a natural language processing model to analyze operation shift reports, correlating detected modifications with historical records to verify their authenticity and initiate investigations or authorization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If facilities operate continuously for longer durations to increase production and reduce costs, then productivity and cost efficiency are improved, but the risk of unauthorized modifications to assets increases and becomes harder to detect
Solution Approach 1:
The system performs preliminary actions by capturing images of assets at scheduled intervals before unauthorized modifications can occur or spread. The image capture mechanism proactively monitors assets continuously, creating a baseline record that enables later detection and verification of any unauthorized changes without interrupting facility operations.
Solution Approach 2:
The system creates visual copies (images) of assets at different time points and compares these copies to detect modifications. By capturing and storing image data representing the asset's state at various intervals, the system enables authentication and detection of unauthorized changes through image comparison without requiring physical inspection or asset shutdown.
2Measurement precision
If manual monitoring of asset modifications is performed to ensure safety and operational integrity, then detection accuracy is improved, but labor costs and operational complexity increase
Solution Approach 1:
The system replaces manual mechanical monitoring with an automated image-based detection system. Instead of relying on operators to physically inspect and record asset states, the system uses image capture devices and automated comparison algorithms to detect modifications, thereby reducing labor requirements while maintaining or improving detection accuracy.
Solution Approach 2:
The system enables self-service monitoring where the asset monitoring function performs its own authentication and detection tasks autonomously. The image capture and comparison system automatically verifies asset integrity without requiring external human intervention for each inspection, reducing operational complexity while maintaining detection precision.
3Loss of information
If operation shift reports are manually maintained to track asset modifications, then information recording is improved, but unauthorized modifications can still be missed and data accuracy decreases
Solution Approach 1:
The system creates visual copies (images) of assets at different time points and compares these copies to detect modifications. By capturing and storing image data representing the asset state, the system ensures comprehensive information capture that cannot be missed in manual reporting.
Solution Approach 2:
The system implements automated feedback by comparing newly captured asset images with historical images and immediately identifying discrepancies. This continuous feedback loop ensures that unauthorized modifications are detected and reported accurately without relying on manual observation or reporting errors.
Data Source
AI summary
Techniques for identifying unauthorized modifications made to assets within a facility are described. In an example, an asset modification indication representative of a first modification made to a first asset within a facility is received, where the asset modification indication comprises a first asset identifier associated with the asset. An operation shift report for the facility is then received, where the operation shift report is indicative of modifications made to assets within the facility. The operation shift report is then analyzed to extract a first set of modification records, wherein each of the first set of modification records comprises an asset identifier corresponding to an asset and modifications made to the asset. Thereafter, it is determined that a modification record corresponding to the first asset is not present in the first set of modification records using at least one correlation parameter. Accordingly, an investigation with respect to the first modification is initiated.