Vector Image Formatting with Embedded Style Prioritization
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Solution Overview
Problem
The management of devices is hindered by the need for constant updates and maintenance of graphical images due to changes in device configurations, styling, and component suppliers, placing a significant burden on manufacturers and third-party supporters.
Innovation Solution
An image formatting utility that retrieves vector images from devices, locates and prioritizes style attributes, and formats them accordingly, allowing for easy updating and customization without requiring direct links between management tools and devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a single exemplary image is drawn for a device in default configuration, then the image creation burden is reduced, but the image accuracy deteriorates when device configuration changes
Solution Approach 1:
The image is segmented into multiple configurable components (device chassis, components, connectors, etc.) that can be independently selected and assembled. This allows a single base image template to serve multiple device configurations by swapping components, reducing image creation burden while maintaining accuracy across different configurations.
Solution Approach 2:
The image system transitions from static to dynamic by introducing configurable parameters that allow the same base image to adapt to different device configurations. The image can be dynamically customized to reflect actual device states, maintaining accuracy without requiring separate images for each configuration.
2Reliability
If graphical images are updated to reflect device changes, then the image accuracy is improved, but the maintenance burden increases
Solution Approach 1:
A single base image template serves multiple device configurations and generations through configurable parameters. Instead of maintaining separate images for each configuration, the universal template adapts to different scenarios, reducing maintenance burden while preserving accuracy.
Solution Approach 2:
The image system uses configurable parameters to adapt the base image to different device configurations, styles, and generations. By changing parameters rather than creating new images, the system maintains accuracy while minimizing maintenance complexity.
3Reliability
If device images are embedded in management tools, then the image availability is improved, but the system coupling increases
Solution Approach 1:
The configurable image parameters and base templates are extracted from individual management tools and centralized in a shared repository. This allows multiple management tools to access and use the same image resources without direct coupling to the device, improving availability while reducing system complexity.
Data Source
AI summary
In one embodiment, a computer-implemented method retrieves a vector image from a device that is a target of an image request. The vector image illustrates at least a portion of the device. A first image style identifier, associated with a first set of style attributes for the vector image, is located within the vector image. A search is conducted for a second set of style attributes for the vector image, the second set of style attributes being stored apart from the vector image, and the second set of style attributes being given a higher priority than the first set of style attributes for the vector image. If the second set of style attributes is found, the vector image is caused to be formatted using at least the second set of style attributes. Other embodiments are also disclosed.