Appliance Adaptation via Environmental Deviation Detection

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Solution Overview

Problem

Existing home automation systems cannot automatically adapt the operation of appliances in response to unusual situations without user intervention, relying on predefined rules and user modifications.

Innovation Solution

A method that collects data from various sources, identifies regular situations using data clustering techniques, detects deviations, and sends commands to adapt appliance operations, allowing for automatic adjustments without user intervention, using a central element and semantic web language-based data modeling.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If predefined rules and user configuration are used to control appliances, then the system can be customized to user habits, but the system cannot automatically detect and respond to unusual situations without user intervention

Engineering Contradiction:

Improveadaptability to unusual situationsVSAvoidautomatic detection and response capability

Core Design Contradiction:

Adaptability or versatilityVSExtent of automation

Solution Approach 1:

The system performs self-learning by automatically analyzing data from multiple sources to identify regular situations and detect deviations, without requiring user configuration or intervention. The central element autonomously adapts appliance operations by sending commands based on detected anomalies, enabling the system to serve itself in terms of learning and adaptation.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-identifies regular situations by analyzing historical data from multiple sources before unusual situations occur. By establishing a baseline of normal operations in advance, the system can quickly detect deviations and respond automatically when anomalies arise, rather than waiting for user input or predefined rules to trigger a response.

Inventive Principle:

Principle #10Preliminary action

2Extent of automation

If data from multiple sources is collected and analyzed in real-time, then automatic adaptation to environmental changes is enabled, but system complexity increases

Engineering Contradiction:

Improveautomatic adaptation capabilityVSAvoiddata collection and processing system complexity

Core Design Contradiction:

Extent of automationVSDevice complexity

Solution Approach 1:

The central element serves multiple functions: it collects data from diverse sources (sensors, services, applications), stores data in a unified model, identifies regular situations through clustering, detects deviations, and sends adaptation commands. This multi-functional design consolidates complexity into a single component rather than distributing it across multiple specialized systems.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system transforms heterogeneous data from multiple sources into a unified data model with standardized parameters. By changing the representation format of data from various sources into a common structure, the system simplifies processing and analysis while maintaining the ability to handle diverse input types.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS10867254B2Adapting the operation of an appliance

Publication Date: 2020.12.15 ORANGE SA

AI summary

A method for adapting the operation of an apparatus connected to a network deployed in an environment, including the steps of: collecting data relating to the environment from a plurality of sources; identifying usual environmental situations from an analysis of the collected data; detecting a deviation from at least one identified usual situation; and sending a control to the apparatus for adapting the operation thereof to the detected deviation.