Adaptive User Interface for Smart Grid Collaboration

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Solution Overview

Problem

Current systems in Smart Grid networks lack dynamic user interface capabilities for collaboration between devices and users, failing to provide real-time adaptability and contextual awareness, leading to inefficient user navigation and limited discoverability of relevant features.

Innovation Solution

A system with a correlation module that generates composite statements from input data and domain model data, a decision module for recommendation generation, and a control module for engaging actions, enabling adaptive and contextual visual collaboration by optimizing user interfaces based on user behavior and system conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If static user interface definitions are used, then system simplicity is maintained, but user navigation efficiency and feature discoverability deteriorate

Engineering Contradiction:

Improveuser navigation efficiencyVSAvoidsystem complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent transforms static user interface definitions into dynamic, adaptive interfaces that automatically adjust based on real-time system conditions, user behavior patterns, and contextual information. The system continuously learns from user interactions and reconfigures navigation paths, feature visibility, and interface layouts without requiring manual intervention or system redesign.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements self-service mechanisms where the user interface automatically optimizes itself through embedded learning algorithms that analyze user behavior and system state. The interface performs self-adjustment by dynamically generating personalized navigation paths and presenting relevant features based on real-time analysis, eliminating the need for external configuration or manual feedback loops.

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If manual feedback mechanisms are implemented, then system updates can be made, but real-time adaptability and response time deteriorate

Engineering Contradiction:

Improvereal-time adaptabilityVSAvoidfeedback loop time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent implements continuous real-time feedback mechanisms where user interactions and system states are constantly monitored and analyzed. The system processes this feedback instantaneously through machine learning models that automatically adjust interface configurations, navigation recommendations, and feature presentations without waiting for manual feedback collection or batch processing cycles.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary actions by pre-computing and caching navigation paths, feature recommendations, and interface configurations based on predicted user needs and system states. This allows the system to provide immediate adaptive responses without real-time computation delays, as the adaptive decisions are prepared in advance based on pattern recognition and predictive analytics.

Inventive Principle:

Principle #10Preliminary action

3Loss of information

If comprehensive system monitoring is implemented, then situational awareness is improved, but information processing complexity increases

Engineering Contradiction:

Improvesituational awarenessVSAvoidinformation processing complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent extracts and isolates only the most relevant system parameters, user behavior patterns, and contextual information needed for adaptive interface optimization. Rather than processing all available system data, the system selectively identifies and focuses on critical information elements that directly impact user experience and navigation efficiency, reducing processing complexity while maintaining comprehensive situational awareness.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system segments information processing into distinct modular components that handle different aspects of system monitoring independently. Each module processes specific types of data (user interactions, system state, contextual information) through specialized algorithms, allowing parallel processing and reducing overall computational complexity while achieving comprehensive system awareness through integration of segmented insights.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS10084743B2Methods and systems for adaptive and contextual collaboration in a network

Publication Date: 2018.09.25 GE INFRASTRUCTURE TECH LLC

AI summary

There is provided a system that includes a correlation module configured to receive input data from a device and generate a composite statement based on the input data and at least one of a condition of the system and domain model data. The system includes a decision module configured to generate recommendation data based on the composite statement. Further, the system includes a control module configured to engage an action at the device based on the recommendation data.