Roadside Overhead Line 3D Geocoordinate Correction for Condition Detection
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Solution Overview
Problem
Existing methods for recording status data of electrical overhead line systems along road routes are inaccurate due to manual measurement limitations and lack of precise automated comparison with historical data, as seen in prior art such as DE 10 2017 214 479 B3 and DE 10 2020 207 963 A1.
Innovation Solution
A method utilizing a measuring vehicle equipped with a satellite-based position determination device, sensor systems like lidar and GPS, and an object recognition device with AI for generating accurate three-dimensional environmental point clouds and correcting geocoordinates, enabling precise comparison with predefined or historical data for determining the status of overhead line system components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement methods are used for overhead line systems, then measurement flexibility is maintained, but measurement precision and automation capability deteriorate
Solution Approach 1:
The patent replaces manual mechanical measurement methods with automated optical sensing systems (cameras, lidar) and satellite-based positioning (GPS/GLONASS). The measuring vehicle automatically captures images and three-dimensional data of overhead line components, eliminating manual measurement while achieving higher precision through digital processing and automated coordinate system transformations.
Solution Approach 2:
The patent creates digital copies of the overhead line system through photogrammetric modeling and three-dimensional point cloud generation. These digital replicas allow for automated comparison with historical data and virtual inspections, enabling precise status assessment without physical contact with the actual overhead line components.
2Productivity
If automated measuring vehicles are deployed, then productivity and coverage are improved, but measurement precision deteriorates due to position determination inaccuracies
Solution Approach 1:
The patent introduces reference objects (stationary markers or recognizable features) as intermediaries between the GPS positioning system and the overhead line features. By measuring the position of these reference objects with known coordinates, the system establishes an accurate transformation between the satellite coordinate system and the local measurement coordinate system, compensating for GPS inaccuracies and achieving millimeter-level precision.
Solution Approach 2:
The patent implements a feedback mechanism where the measured positions of reference objects are compared with their known reference coordinates. The deviation detected through this comparison is used to calculate correction factors and transformation parameters, which are then applied to all subsequent measurements, continuously improving the accuracy of the measurement system.
3Reliability
If frequent manual inspections are conducted, then reliability of status data is improved, but loss of time and operational disruption increase
Solution Approach 1:
The patent enables continuous monitoring of overhead line systems by deploying measuring vehicles that can operate at normal traffic speeds. The automated imaging and data processing systems capture status information continuously during regular vehicle operation, eliminating the need for road closures or traffic disruptions while maintaining reliable monitoring coverage.
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 significantly improves the accuracy of status data recording and comparison, allowing for automated detection of wear, defects, and maintenance needs, enhancing the reliability and efficiency of overhead line system monitoring.
Implementation Method 1
location coordinates of the measuring positions are determined by means of a satellite-supported position determination device
Implementation Method 2
three-dimensional position data of environmental points representing a vehicle environment are recorded at measuring positions by means of a sensor device
Data Source
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AI summary
The invention relates to a method for acquiring condition data (ZD) of an overhead line system (10), wherein, by means of a sensor device (41) of a measuring vehicle (30), three-dimensional position data (LD) of environmental points (UP) representing a vehicle environment (UMP) are acquired at measuring positions (MP). According to the invention, position coordinates (OK) of the measuring positions (MP) are determined by means of a position determination device (42) of the measuring vehicle (30). By assigning the position coordinates (OK) of a measuring position (MP) to the position data (LD) acquired at this measuring position (MP), an environmental point cloud (UPW) with geocoordinates (GK) of the acquired environmental points (UP) is generated. Using an object recognition device (43), reference objects (RO1, RO2, RO3) with known reference coordinates (RK) and present system objects (11, 12, 13) of the overhead line system (10) are recognized from the geocoordinates (GK) in the vehicle environment (UMP).A deviation (ΔGR) of the geocoordinates (GK) of the surrounding points (UP) assigned to a recognized reference object (RO1, RO2, RO3) from its reference coordinates (RK) is determined, and the geocoordinates (GK) of all surrounding points (UP) in the surrounding point cloud (UPW) are corrected by the determined deviation (ΔGR). State data (ZD) of the plant objects (11, 12, 13) are then determined from the corrected geocoordinates (GK') of the plant objects (11, 12, 13).