Underground Line Locator Adaptive Filtering Motion State

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Solution Overview

Problem

Conventional underground line locators face a trade-off between responsiveness and noise immunity, with narrowband filtering increasing noise immunity but decreasing responsiveness, and wideband filtering increasing responsiveness but decreasing noise immunity, making it difficult to accurately and rapidly detect underground lines.

Innovation Solution

The system employs motion-based responsiveness by using a motion sensor to adjust the filtering techniques dynamically, allowing for high responsiveness when quickly scanning areas and high noise immunity when refining location, using adaptive filtering to adjust bandwidth and cutoff frequencies based on the operator's motion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If narrowband filtering is used, then noise immunity is improved, but responsiveness deteriorates

Engineering Contradiction:
Improvenoise immunityVSAvoidresponsiveness
Core Design Contradiction:
ReliabilityVSSpeed

Solution Approach 1:

The system dynamically adjusts the filter bandwidth based on the detected motion state of the locator. When motion is detected (indicating rapid scanning), the filter operates in wideband mode for high responsiveness. When no motion is detected (indicating stationary refinement), the filter operates in narrowband mode for high noise immunity. This dynamic adaptation resolves the contradiction by making the filtering characteristic variable rather than fixed.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes the bandwidth parameter of the filter based on motion state. The filter transitions between different bandwidth configurations (narrowband vs. wideband) depending on whether the locator is in motion or stationary. This parameter change allows the system to optimize between noise immunity and responsiveness based on operational context.

Inventive Principle:
Principle #35Parameter changes

2Speed

If wideband filtering is used, then responsiveness is improved, but noise immunity deteriorates

Engineering Contradiction:
ImproveresponsivenessVSAvoidnoise immunity
Core Design Contradiction:
SpeedVSReliability

Solution Approach 1:

The system dynamically switches between wideband and narrowband filtering modes based on motion detection. During motion (rapid scanning), wideband filtering provides high responsiveness. During stationary operation (location refinement), narrowband filtering provides high noise immunity. This dynamic mode switching resolves the contradiction by adapting the filter characteristics to the operational phase.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The filter bandwidth parameter is adjusted based on the motion state of the locator. When motion is detected, the system increases the bandwidth for responsive tracking. When stationary, the system decreases the bandwidth for noise rejection. This parameter adaptation allows optimal performance in both responsiveness and noise immunity contexts.

Inventive Principle:
Principle #35Parameter changes

3Device complexity

If fixed bandwidth filtering is used, then device complexity is reduced, but adaptability deteriorates

Engineering Contradiction:
Improvefiltering system complexityVSAvoidadaptability to motion states
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The system uses motion sensors to detect the operator's motion state and provides feedback to the signal processing system. This feedback loop enables the filter to automatically adjust its bandwidth based on real-time motion information. The feedback mechanism adds adaptability without significantly increasing overall system complexity, as it leverages existing motion sensing capabilities.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The filtering system automatically adjusts its own parameters based on motion state feedback without requiring manual intervention. The system self-regulates the filter bandwidth by monitoring its own motion through integrated sensors, eliminating the need for external control while enhancing adaptability.

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

This approach enables rapid detection of underground lines with improved accuracy and stability, allowing for effective location and identification of underground lines while minimizing noise interference.

Implementation Method 1

a motion sensor to determine a state of motion of the underground line locator

Methodology Applied
Scientific EffectMotion sensing: Accelerometer

Implementation Method 2

a receiver to generate a measurement signal based on a magnetic field generated by an underground line

Methodology Applied
Scientific EffectMagnetic field detection: Magnetic Field

Data Source

PatentEP3314293B1System and method for locating underground lines using motion based responsiveness
Publication Date: 2022.08.17 BUSAN TRANSPORTATION CORPORATION
  • EP3314293B1 patent drawingFigure 1
  • EP3314293B1 patent drawingFigure 2
  • EP3314293B1 patent drawingFigure 3

AI summary

A system and method of for underground line location using motion based responsiveness includes an underground line locator. The underground line locator includes a receiver generating raw measurement data based on a location of an underground line relative to the receiver, a motion sensor generating motion data based on a state of motion of the underground line locator, a processor coupled to the receiver and the motion sensor, and a display coupled to the processor. The processor determines a measurement signal based on the raw measurement data. A responsiveness of the measurement signal to the raw measurement data is based on the motion data. The display shows a representation of the measurement signal. In one or more embodiments, the measurement signal may be determined using a primary signal detector that adaptively filters the raw measurement data using an adaptive band-pass filter.