NC Machine Cabinet Noise Source Identification Layout

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Solution Overview

Problem

Existing numerical control machines can identify electronic components affected by noise but fail to determine the factors causing the noise, leading to prolonged inspection times.

Innovation Solution

A numerical control machine equipped with a device information acquisition unit, identification condition information acquisition unit, noise detector, and electronic component identification unit that acquires and analyzes device information and noise generation conditions to identify and rank electronic components contributing to noise, along with an output unit for displaying the results.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If existing noise detection devices are used to identify electronic components affected by noise, then the location of affected components can be determined, but the factors causing the noise cannot be identified, leading to prolonged inspection time

Engineering Contradiction:
Improvenoise source identification accuracyVSAvoidinspection time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent segments the noise analysis process into distinct functional modules: a noise detection unit that detects noise signals, a data acquisition unit that collects operational data of electronic components, and an analysis unit that correlates noise signals with component operations. This segmentation enables comprehensive noise factor identification while maintaining efficient processing through specialized dedicated functions for each stage.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements preliminary action by pre-acquiring and storing operational data of electronic components before noise analysis is performed. The system maintains a database of component operation states, power consumption patterns, and operational timing information that can be immediately correlated with detected noise signals, eliminating the need for time-consuming data collection during actual inspection.

Inventive Principle:
Principle #10Preliminary action

2Measurement precision

If comprehensive device information and identification conditions are acquired to identify noise factors, then noise source determination accuracy improves, but system complexity increases

Engineering Contradiction:
Improvenoise factor identification accuracyVSAvoidsystem structure complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements universality by designing an integrated control unit that performs multiple functions: acquiring device information, collecting operational data, detecting noise signals, and analyzing correlations between components and noise sources. This multi-functional approach consolidates what would otherwise require separate specialized devices, reducing overall system complexity while maintaining comprehensive noise analysis capability.

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

Solution Approach 2:

The patent introduces an intermediary analysis unit that acts as a mediator between raw noise detection data and final noise factor identification. This unit correlates noise signals with operational data, applies analysis conditions, and determines noise factors without requiring direct complex interactions between all system components, thereby simplifying the overall system architecture.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS11435720B2Numerical control machine
Publication Date: 2022.09.06 FANUC LTD
  • US11435720B2 patent drawing
  • US11435720B2 patent drawing
  • US11435720B2 patent drawing

AI summary

To provide a numerical control machine that can identify a factor of noise.A numerical control machine that is connected to a power magnetics cabinet including a plurality of electronic components that potentially generate noise includes: a device information acquisition unit that acquires device information including the relative arrangement and classification of each of the plurality of electronic components; an identification condition information acquisition unit that acquires conditions for identifying electronic components that are factors of noise as identification condition information; a noise detector that detects noise generated in any of the plurality of electronic components and that identifies the electronic components in which noise is generated; and an electronic component identification unit that applies the identification condition information to the device information on the electronic components in which noise is generated to identify the electronic components that are factors of noise from the device information.