AI Home Appliance Control System for Coordinated Multi-Device Operation

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Solution Overview

Problem

Current home appliance control systems lack an integrated method to simultaneously manage multiple devices using artificial intelligence, leading to inefficiencies in user convenience and appliance coordination.

Innovation Solution

An integrated control method and system that uses artificial intelligence to transmit user terminal information to a server, determine the appropriate control mode for registered home appliances, generate control commands, and execute these commands over a network, allowing for coordinated operation based on user preferences and behaviors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If multiple home appliances are controlled individually, then each appliance can be managed separately, but user convenience and coordination efficiency deteriorate

Engineering Contradiction:
Improveuser convenienceVSAvoidcontrol system complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent merges control of multiple home appliances into a unified control system that processes commands centrally. The server integrates control logic for various appliances (air conditioner, washing machine, refrigerator, etc.) and coordinates their operations based on user input, transforming individual control tasks into a single integrated operation that improves convenience without requiring users to manage each device separately.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces a server as an intermediary between the user terminal and multiple home appliances. This mediator receives control commands from the user terminal, processes them through integrated control logic, and distributes appropriate instructions to each appliance. The intermediary handles the complexity of coordination internally while presenting a simplified interface to users, resolving the contradiction between ease of operation and system complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Adaptability or versatility

If artificial intelligence is used to determine control modes, then user experience is improved, but system complexity increases

Engineering Contradiction:
Improvecontrol mode adaptabilityVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements self-service through AI-driven automatic control mode determination. The server analyzes user behavior patterns and appliance states autonomously to select appropriate control modes without requiring explicit user specification. The system learns from historical data and makes intelligent decisions automatically, enhancing adaptability while hiding the underlying complexity from users through automated operation.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent applies preliminary action by pre-establishing multiple control modes (wake-up mode, sleep mode, away mode, etc.) with predetermined control strategies. The AI system selects from these pre-configured modes based on current conditions, rather than creating control logic from scratch in real-time. This approach enhances adaptability to different scenarios while reducing computational complexity through reuse of pre-planned control sequences.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If integrated control coordinates multiple appliances, then operational efficiency is improved, but information processing requirements increase

Engineering Contradiction:
Improveoperational efficiencyVSAvoidinformation processing load
Core Design Contradiction:
ProductivityVSLoss of information

Solution Approach 1:

The patent extracts and processes only the essential information needed for integrated control from the vast amount of data generated by multiple appliances. The server identifies and processes key parameters (appliance states, user behavior patterns, temporal relationships) while filtering out redundant information. This selective extraction enables efficient coordination of multiple appliances without being overwhelmed by excessive data processing requirements.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS11483172B2Integrated control method and system for home appliance using artificial intelligence
Publication Date: 2022.10.25 LG ELECTRONICS INC
  • US11483172B2 patent drawing
  • US11483172B2 patent drawing
  • US11483172B2 patent drawing

AI summary

Disclosed are an integrated control method and system for multiple home appliances using artificial intelligence. The integrated control method for multiple home appliance comprises: transmitting use information or state information of a user terminal to a server; determining, by the server, a type of an integrated control mode and whether to start the integrated control mode for the multiple home appliances which are registered in a user account and cooperate over a network based on the transmitted information; generating, by the server, multiple control commands for the multiple home appliances, respectively, based on the determined integrated control mode; providing, by the server, the multiple control commands to the user terminal; and controlling, by the user terminal, the multiple home appliances based on the multiple control commands over the network, respectively.