Client-Oriented Asset Maps for Rapid Hardware Identification
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Solution Overview
Problem
In large deployments with numerous assets, identifying specific assets is challenging due to their uniform physical appearance and limited signage, leading to increased time and effort in resolving hardware or software issues.
Innovation Solution
A system that uses positioning sensors, including photonic devices, to dynamically generate client-oriented asset maps, reducing cognitive burden by providing visualizations of asset locations relative to the observer's perspective, thereby improving accuracy and efficiency in asset identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional asset identification methods are used in large deployments, then asset identification time increases, but the system maintains simple infrastructure without additional sensors or mapping systems
Solution Approach 1:
The system creates a virtual copy of the physical deployment environment through asset maps that represent asset locations, orientations, and relationships. These digital maps enable remote identification and tracking of physical assets without requiring direct physical inspection, thereby reducing identification time while maintaining manageable system complexity through software-based solutions
Solution Approach 2:
The system replaces manual mechanical inspection methods with automated optical tracking using photonic sensors. Cameras and image processing algorithms substitute for human visual search and physical navigation through deployment areas, enabling faster asset identification through automated image analysis and location matching against digital asset maps
2Measurement precision
If photonic sensors and dynamic mapping systems are implemented, then asset identification accuracy improves, but system complexity and infrastructure requirements increase
Solution Approach 1:
The photonic sensor system serves multiple functions simultaneously: it captures images for asset identification, tracks asset movements over time, determines spatial relationships between assets, and updates digital asset maps dynamically. This multi-functionality justifies the added complexity by delivering comprehensive asset management capabilities beyond simple identification
Solution Approach 2:
The system implements continuous feedback loops where photonic sensors repeatedly capture asset positions, the mapping system processes this data to update asset locations and orientations, and the updated maps provide feedback for improved identification accuracy. This iterative feedback mechanism enhances measurement precision through cumulative refinement while managing system complexity through automated processing
3Productivity
If client-oriented dynamic asset maps are generated, then user comprehension and issue resolution speed improve, but computational processing requirements increase
Solution Approach 1:
The system pre-generates and maintains digital asset maps that organize asset locations, orientations, and relationships before issues occur. When problems arise, users can immediately query these pre-prepared maps for rapid asset identification without requiring real-time computation or complex processing during the actual issue resolution moment
Solution Approach 2:
The asset maps are dynamically updated to reflect current asset positions and orientations, allowing the system to adapt to changing deployment conditions. This dynamic nature enables the maps to remain accurate and useful for issue resolution while optimizing computational resources by updating only changed elements rather than regenerating entire maps
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enhances the accuracy and speed of asset identification, reducing downtime and improving the overall performance of the deployment by providing intuitive visualizations of asset locations, thus facilitating quicker issue resolution.
Implementation Method 1
obtains location information of the client with respect to an asset of the deployment using a positioning sensor of the client
Data Source
AI summary
An asset mapper for managing a deployment includes a storage and a map manager. The storage stores an asset map of the deployment. The map manager obtains a client oriented location request regarding the deployment for a client; in response to obtaining the client oriented location request: obtains location information of the client with respect to an asset of the deployment using a positioning sensor of the client; generates a client oriented asset map of the deployment using the location information and the asset map of the deployment; and performs an action set using the client oriented asset map to service the client oriented location request.