Device-Type Manager Recommendation via User History
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Solution Overview
Problem
Users face difficulties in selecting the appropriate device-type manager (DTM) for field devices due to large lists of matching DTMs, requiring extensive browsing and time, especially when new revisions are installed, as existing systems rely solely on Manufacturer Identifier, Model, and Revision details for recommendations.
Innovation Solution
A method and system that utilize a global association list, combining default and user-defined associations, and incorporate user selection history to generate a recommend list of DTMs, prioritizing installed DTMs and providing notifications for missing DTMs, thereby simplifying the selection process and synchronizing DTM packages across multiple products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the system shows all matching DTMs ranked by VMR details, then the user can see all available options, but the user has to spend excessive time browsing through large lists of DTMs
Solution Approach 1:
The system performs preliminary actions by pre-ranking DTMs based on VMR matching and user selection history before presenting the list to the user. The DTM list is automatically sorted with the most relevant matches appearing first, eliminating the need for users to manually search through unsorted or alphabetically ordered lists. This preliminary sorting action significantly reduces selection time while maintaining full visibility of available options.
Solution Approach 2:
The system incorporates feedback mechanisms by analyzing user selection history and using it to dynamically adjust DTM ranking. When users consistently select certain DTMs for specific VMR combinations, the system learns from this feedback and prioritizes those DTMs in future recommendations. This feedback loop continuously improves recommendation accuracy, allowing users to quickly find their preferred DTMs without manual searching.
2Device complexity
If the system relies solely on VMR comparison for DTM recommendation, then the recommendation logic is simple, but the system cannot identify updated DTMs that are more appropriate for particular devices
Solution Approach 1:
The system uses feedback from user selections to continuously improve DTM recommendation accuracy. By tracking which DTMs users choose for specific VMR combinations, the system learns about device-specific preferences and updated requirements. This feedback mechanism allows the system to maintain relatively simple comparison logic while achieving high reliability in recommendations, as the learned patterns compensate for the simplicity of the base algorithm.
Solution Approach 2:
The recommendation system transitions from static VMR-based matching to dynamic ranking that adapts based on user behavior. The DTM list ranking is not fixed but dynamically adjusted based on real-time user selection patterns and historical data. This dynamic approach allows the system to maintain simple core logic while achieving sophisticated, context-aware recommendations that adapt to changing user preferences and device requirements.
3Adaptability or versatility
If each product maintains its own DTM catalog and associations, then product independence is maintained, but synchronization of DTM packages across multiple products becomes difficult
Solution Approach 1:
The system implements a universal DTM association model that serves multiple products simultaneously. A centralized DTM catalog and association database are shared across different products (Plant Asset Management, Device Configuration Tool, Benchtop Application), allowing each product to independently access and use the same DTM resources. This universal approach maintains product independence while enabling automatic synchronization, as all products draw from the same source of truth for DTM associations and updates.
4Ease of manufacture
If the system creates fresh associations when new product revisions are installed, then default associations are updated, but user-defined associations are lost and cannot be easily restored
Solution Approach 1:
The system implements beforehand cushioning by creating backup copies of user-defined associations before installing new product revisions. When a new revision is installed, the system preserves existing user associations in a protected state, allowing users to review and selectively update or restore associations as needed. This protective mechanism prevents accidental loss of user configurations while still allowing necessary updates, cushioning against the potential harm of association loss during software updates.
Data Source
AI summary
A method for retrieval of device-type managers is provided. A historical information of user's historical selection to device-type-managers (DTMs) is identified. The historical information represents a selected DTM and a VMR information of the selected DTM. The VMR information is related to vendor, model and revision of a field device. The VMR information of the selected DTM is associated with the selected DTM. The VMR information is retrieved. The DTMs to be recommended are evaluated, based on the historical information and the VMR information associated with the DTM. A result of evaluation on the DTMs to be recommended is generated. Based on the result of evaluation, a recommend list including one or more recommended DTMs to be launched by at least one of the plurality of client devices is generated.