Adaptive Automation Control Using Learned Behavior and Sensor Context

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Solution Overview

Problem

Current automation technologies lack the ability to dynamically adapt and customize control services based on learned consumer behavior and environmental conditions, leading to suboptimal operation in changing scenarios.

Innovation Solution

The implementation of a gateway device that recognizes devices and sensors, coupled with a cloud-based automation control service that uses learned behavior to dynamically adjust and customize control sequences, modes, and asset configurations, allowing for real-time adaptation and optimization of automation tasks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If automation control services are provided with fixed control sequences and configurations, then device complexity is reduced and ease of operation is improved, but adaptability to changing consumer behavior and environmental conditions deteriorates

Engineering Contradiction:

Improveadaptability to consumer behavior and environmental changesVSAvoidcomplexity of automation control service

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The automation control service dynamically adapts control sequences and configurations based on learned consumer behavior and environmental conditions. The system transitions from static, pre-defined automation routines to dynamic, self-adjusting control sequences that evolve based on observed patterns and current context, resolving the contradiction between adaptability and complexity.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system autonomously learns consumer behavior patterns and automatically generates optimized control sequences without requiring manual reconfiguration. The automation control service self-adapts by observing environmental conditions and user interactions, then autonomously adjusts its behavior, eliminating the need for complex user intervention while maintaining high adaptability.

Inventive Principle:

Principle #25Self-service

2Ease of operation

If automation control services are customized based on learned consumer behavior, then user experience and operational optimization are improved, but the complexity of detecting and measuring consumer behavior patterns increases

Engineering Contradiction:

Improveoperational optimizationVSAvoiddifficulty of detecting consumer behavior patterns

Core Design Contradiction:

Ease of operationVSDifficulty of detecting and measuring

Solution Approach 1:

The system implements continuous feedback loops where consumer behavior is observed, analyzed, and used to refine control sequences. Sensors and user interactions provide ongoing feedback that the system processes to automatically optimize automation routines, transforming the complexity of behavior detection into a systematic feedback-driven optimization process that improves ease of operation.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system performs preliminary analysis of consumer behavior patterns and pre-generates optimized control sequences before they are needed. By proactively learning and preparing automation routines based on observed patterns, the system reduces the real-time complexity of behavior detection while maintaining operational optimization through pre-computed, context-aware control sequences.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If the automation control service dynamically adjusts control sequences in real-time, then productivity and operational efficiency are improved, but the loss of time for learning and adaptation increases

Engineering Contradiction:

Improveoperational efficiencyVSAvoidtime for learning and adaptation

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system maintains continuous automation operations while simultaneously learning and adapting control sequences. Rather than stopping to learn patterns, the system operates continuously and incrementally refines its behavior based on ongoing observations, ensuring productivity is maintained while adaptation occurs in the background without significant time loss.

Inventive Principle:

Principle #20Continuity of useful action

Solution Approach 2:

The system performs preliminary learning and pattern recognition during low-activity periods or in parallel with operational tasks. By proactively analyzing behavior patterns and preparing optimized sequences ahead of time, the system minimizes the time dedicated to learning while maximizing operational efficiency when the learned patterns are applied.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS10983487B2Systems and methods for autonomous adaptation of an automation control service

Publication Date: 2021.04.20 COX COMMUNICATIONS INC

AI summary

Aspects of the disclosure relate to intelligent automation control of an environment based at least on intelligence associated with behavior of an operator and/or equipment.