Furniture Flap Drive Auto-Detection for Correct Parameter Setup

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Solution Overview

Problem

Existing furniture flap drives require manual identification of flap types to set operating parameters, leading to potential incorrect input and inefficient operation.

Innovation Solution

Incorporation of an identification device within the furniture flap drive to automatically detect the flap type, allowing for selection of correct operating parameters and preventing manual errors, using methods such as optical sensors, inductive sensors, or coding systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual identification of flap type is used to set operating parameters, then the device complexity is reduced, but the reliability of parameter input deteriorates due to potential incorrect manual input

Engineering Contradiction:
Improveaccuracy of operating parametersVSAvoidcomplexity of identification system
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The furniture flap drive automatically identifies the flap type and selects operating parameters without human intervention. The control unit detects characteristics of the mechanical control unit and autonomously configures the motor parameters, making the system self-identifying and eliminating manual input errors.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical identification with an automated detection system using sensors and electronic memory. The control unit uses electrical or magnetic fields to detect flap type characteristics, substituting human manual configuration with automated electronic identification.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automatic identification device is implemented, then the productivity of parameter setup is improved, but the device complexity increases due to additional identification components

Engineering Contradiction:
Improvespeed of parameter configurationVSAvoidcomplexity of furniture flap drive
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The control unit serves multiple functions: it controls the motor operation and simultaneously performs automatic identification of the flap type. The electronic memory stores multiple parameter sets that can be automatically selected based on detected characteristics, making the control unit a multi-functional component rather than adding separate dedicated identification hardware.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The identification device is integrated into the existing furniture flap drive structure. The control unit combines motor control functions with automatic identification and parameter selection functions, merging what could be separate systems into a unified control architecture.

Inventive Principle:
Principle #5Merging (Combining)

3Ease of operation

If automatic identification is used, then the ease of operation is improved by eliminating manual parameter input, but the device complexity worsens due to additional sensors and memory systems

Engineering Contradiction:
Improvesimplicity of installationVSAvoidcomplexity of electronic control system
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The system automatically identifies the flap type and configures parameters without requiring user intervention. During installation, the control unit autonomously detects the mechanical control unit characteristics and selects appropriate parameters, making the installation process as simple as connecting the components without technical configuration.

Inventive Principle:
Principle #25Self-service

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Ensures accurate and automatic selection of operating parameters, enhancing the reliability and efficiency of furniture flap drives by eliminating manual input errors and adapting to different flap types.

Implementation Method 1

using methods such as optical sensors

Methodology Applied
Scientific EffectOptical detection: Photoelectric Effect

Implementation Method 2

using methods such as optical sensors, inductive sensors

Methodology Applied
Scientific EffectElectromagnetic induction: Electromagnetic Induction

Data Source

PatentUS20110169388A1Automatic furniture flap type detection
Publication Date: 2011.07.14 JULIUS BLUM GMBH
  • US20110169388A1 patent drawing
  • US20110169388A1 patent drawing
  • US20110169388A1 patent drawing

AI summary

Electromotive furniture-flap drive, characterized by an identification device for automatically identifying the type of furniture flap in the installed state of the furniture flap drive.