Overhead Power Line Live Detection With Ultrasonic TDOA Localization
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Solution Overview
Problem
Existing ultrasonic detection apparatuses for overhead power line insulation defects suffer from poor sensitivity, difficulty in locating spatial coordinates, and lack of a unified reference for evaluating discharge intensity due to interference and distance issues, leading to inefficient and non-visualized defect detection.
Innovation Solution
A non-contact live detection apparatus utilizing an electromagnetic wave sensor and at least three ultrasonic sensors, with a paraboloid-shaped wave-focusing device, noise and amplification circuits, and a processing unit to determine spatial coordinates, ultrasonic intensity, and electromagnetic wave intensity, enabling accurate visualization of insulation defects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a wave-focusing device is used to focus ultrasonic waves, then the sensitivity and directionality of ultrasonic detection are improved, but the ability to position equipment with insulation defect deteriorates when large amounts of power equipment exist in the detection area
Solution Approach 1:
The patent divides the detection system into multiple independent ultrasonic sensors arranged in an array, with each sensor detecting ultrasonic signals from different positions. This segmentation allows the system to distinguish between signals from different equipment items by analyzing the time difference of arrival (TDOA) at each sensor, thereby maintaining positioning capability while preserving detection sensitivity through the wave-focusing device.
2Measurement precision
If an ultrasonic imager is used to detect the distribution of sound field over an entire acoustic plane, then insulation defects are accurately identified, but the system structure becomes complex and sensitivity is reduced
Solution Approach 1:
Instead of using a complex ultrasonic imager that attempts to map the entire acoustic plane, the patent employs a simplified array of ultrasonic sensors that detect local ultrasonic signals at specific positions. By analyzing the time difference of arrival (TDOA) of signals at multiple sensors, the system achieves accurate defect identification without requiring the complex imaging infrastructure, thus reducing system structure while maintaining or improving sensitivity.
3Measurement precision
If ultrasonic detection apparatus is positioned close to insulation defect, then ultrasonic detection intensity is high, but when positioned far from insulation defect, ultrasonic detection intensity is low, making the detection greatly affected by detection distance
Solution Approach 1:
The patent introduces the time dimension by measuring the time difference of arrival (TDOA) of ultrasonic signals at multiple sensors. This temporal information allows the system to compensate for the attenuation caused by detection distance. By analyzing the TDOA pattern across the sensor array, the system can determine the location of insulation defects and maintain detection capability regardless of whether the apparatus is positioned close to or far from the defect, thereby achieving distance adaptability while preserving detection intensity.
4Productivity
If original ultrasonic detection intensity is used for evaluation, then the evaluation process is simple, but under the action of ultrasonic wave attenuation, difference between different detection distances exists in the evaluation of discharge intensity
Solution Approach 1:
The patent implements a feedback mechanism by continuously measuring the time difference of arrival (TDOA) of ultrasonic signals at multiple sensors and using this information to determine the location and characteristics of insulation defects. The system dynamically adjusts the evaluation based on the measured TDOA patterns, compensating for the attenuation effects. This feedback approach allows the system to maintain accurate discharge intensity evaluation across different detection distances while preserving evaluation efficiency through automated processing.
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
The apparatus efficiently locates spatial coordinates and evaluates discharge intensity, providing a visualized and intuitive assessment of insulation defects, enhancing detection accuracy and efficiency.
Implementation Method 1
an electromagnetic wave sensor and at least three ultrasonic sensors... obtain spatial coordinates, two-dimensional pixel coordinates, electromagnetic wave intensity, and ultrasonic intensity of an insulation defect location
Implementation Method 2
at least three ultrasonic sensors... obtain spatial coordinates, two-dimensional pixel coordinates, electromagnetic wave intensity, and ultrasonic intensity of an insulation defect location
Implementation Method 3
A non-contact live detection apparatus utilizing an electromagnetic wave sensor and at least three ultrasonic sensors, with a paraboloid-shaped wave-focusing device
Data Source
AI summary
Provided are a non-contact live detection apparatus and a live detection method. The non-contact live detection apparatus includes a processing unit and a detection unit and an image collection unit which are both communicatively connected to the processing unit. The detection unit includes an electromagnetic wave sensor and at least three ultrasonic sensors. The image collection unit is configured to collect an insulation defect picture of an overhead power line detected by the detection unit. The processing unit is configured to obtain the spatial coordinates, two-dimensional pixel coordinates, electromagnetic wave intensity, and ultrasonic intensity of an insulation defect location according to a detection result of the detection unit and perform identification on the insulation defect picture.