Integrated Asset Integrity Management System for Proactive Maintenance
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Solution Overview
Problem
Conventional asset tracking systems are reactive and lack integration with real-time performance information, leading to inefficiencies in maintenance and increased downtime due to the inability to proactively identify asset integrity issues before failures occur.
Innovation Solution
An integrated asset integrity management system (IAIMS) that combines tracking system data with real-time and actual performance information from sensors and environmental conditions, using mobile devices and a server to identify and communicate asset integrity issues to technicians, enabling proactive maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional reactive tracking systems are used, then asset identification is achieved, but downtime increases due to inability to proactively identify integrity issues
Solution Approach 1:
The system performs preliminary actions by continuously collecting and analyzing performance data from sensors before asset failures occur. The integrity assessment module evaluates data against thresholds and patterns to identify potential issues in advance, enabling maintenance teams to address problems before they cause downtime.
Solution Approach 2:
The system implements feedback loops where performance data from sensors is continuously fed back to the integrity assessment module. This feedback mechanism allows the system to learn from historical data, adjust assessment criteria, and improve its ability to predict future failures, thereby reducing downtime through proactive maintenance.
2Reliability
If real-time performance monitoring is implemented, then proactive maintenance is enabled, but system complexity increases
Solution Approach 1:
The server consolidates multiple functions into a single platform: data collection from various sensor types, data storage, integrity assessment, threshold management, and communication with mobile devices. This multi-functional approach reduces overall system complexity despite the comprehensive monitoring capabilities.
Solution Approach 2:
The server acts as an intermediary between the diverse sensor network and the mobile devices used by maintenance personnel. It standardizes data formats, processes raw sensor data into meaningful integrity assessments, and presents information in a user-friendly format, thereby managing complexity centrally rather than distributing it across all connected devices.
3Measurement precision
If comprehensive asset data collection is performed, then identification accuracy improves, but data processing time increases
Solution Approach 1:
The system performs preliminary data processing by continuously collecting and pre-processing performance data in the background before integrity assessments are needed. Historical data is stored and pre-analyzed, so when an assessment is required, the system can quickly retrieve and evaluate relevant information without intensive real-time processing.
Solution Approach 2:
The system implements partial processing by focusing computational resources on the most critical integrity parameters and recently collected data. While comprehensive data is collected and stored, the integrity assessment module selectively analyzes the most relevant portions of the data set based on asset type, operational context, and identified risk factors, reducing processing time while maintaining accuracy.
Data Source
AI summary
An integrated asset integrity management system includes a plurality of asset information identifiers associated with a corresponding plurality of assets, a mobile communication device comprising a reading device for reading the identifiers, and a server in electronic communication with the mobile communication device. The server includes a database structure having a tracking system database that includes tracking system data corresponding to the asset information identifiers, and a performance database that includes data relating to performance of the assets. The mobile communication device transmits read asset information to the server. An electronic processor identifies assets corresponding to the read asset information identifiers and determines asset integrity issues for any of the assets. An output device outputs an indicator associated with the determined integrity issue. A framing algorithm uses a drill down technique for honing in on integrity issues at a location that may include a plurality of assets.