Asset Management Project Views for Accurate Device Status Tracking
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Solution Overview
Problem
Current asset management systems in process control plants struggle to accurately assess the status and health of devices involved in projects such as commissioning or maintenance, leading to confusing statistical data and inability to track project progress, as they do not differentiate between devices in runtime operations and those involved in projects.
Innovation Solution
An asset management system that allows users to define projects within the plant, store associated devices, and perform statistical analysis to provide clear, project-specific information on device states and health, excluding data from devices not in runtime conditions to prevent skewing of overall plant status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If asset management systems include all devices in statistical analysis, then comprehensive plant-wide visibility is achieved, but accuracy of runtime device status assessment deteriorates due to skewing from project devices
Solution Approach 1:
The system segments devices into distinct categories: runtime devices and project devices. This segmentation allows statistical analysis to be performed separately for each category, ensuring that project devices (which may be in commissioning, maintenance, or storage status) do not skew the accuracy of runtime device status assessment while maintaining separate visibility into project-specific progress.
Solution Approach 2:
The system extracts project devices from the overall plant device set for separate tracking and analysis. By taking out devices associated with projects (identified through project parameters or status flags) and analyzing them independently, the system prevents these devices from distorting runtime statistics while still providing comprehensive information through dedicated project views.
2Device complexity
If asset management systems track all devices uniformly, then system complexity is reduced, but ability to track project progress and provide project-specific insights deteriorates
Solution Approach 1:
The system merges the simplicity of uniform device tracking with the need for project-specific analysis by integrating project parameters directly into the device data structure. Each device can have associated project identifiers and status flags, allowing the same device database to serve both general plant-wide monitoring and specific project tracking without requiring separate complex systems.
Solution Approach 2:
The asset management system achieves multi-functionality by enabling a single unified database to handle both general runtime device monitoring and specific project tracking. The system can dynamically switch between providing plant-wide statistics and project-specific insights based on user selection, eliminating the need for separate tracking systems while maintaining comprehensive capabilities.
3Measurement precision
If project-specific statistical analysis is implemented, then project progress determination is improved, but overall system complexity increases
Solution Approach 1:
The system implements dynamic filtering and view switching capabilities that allow users to toggle between plant-wide and project-specific statistical analyses. The underlying data structure remains static and unified, but the presentation and analysis layers dynamically adapt based on user needs, providing project-specific insights when required while maintaining overall system simplicity through a single unified database.
Data Source
AI summary
An asset management system used in a process control plant or other control system includes a database that stores asset data for each of a plurality of devices within the plant and a viewing system that accesses the asset data to provide statistical information to a user pertaining to the plant assets. The asset management system enables a user to define and store one or more projects within the plant and a set of plant assets associated with each of the projects. Thereafter, the asset management system performs statistical analyses on the assets within one or more of the defined projects and presents, to a user via a user interface, raw and statistical information pertaining to the assets within the project. The analysis engine may determine the device states or health statuses of the assets associated with the project and may present statistical and/or historical information regarding the number or percentage of assets within the project that are in a particular state or status. The system enables a user to use this information to determine the progress of or completion percentage of the entire project.