Electromagnetic Detecting Garment for Accurate Utility Line Mapping
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Solution Overview
Problem
Current utility locating methods, particularly in urban environments, struggle with inaccurate detection of buried utilities due to electromagnetic field distortions from dense networks and complex infrastructure, leading to incorrect location of signal sources.
Innovation Solution
A garment integrated with an array of antennas and processors that determine the spatial orientation of sensors relative to each other, processing electromagnetic data to accurately locate and map utility lines by integrating with other garments or processors for immediate use, analysis, or storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional handheld utility locator devices are used, then the system is simple and easy to operate, but the detection accuracy deteriorates in complex urban environments due to electromagnetic field distortions
Solution Approach 1:
The utility locator system is segmented into multiple independent sensor units distributed across the garment, each capable of detecting electromagnetic fields independently. This segmentation allows the system to process spatially distributed data to improve location accuracy in complex environments while maintaining manageable complexity through modular architecture
Solution Approach 2:
The system transitions from traditional single-point detection to multi-dimensional spatial detection by distributing sensors across the garment surface. This dimensional expansion creates a three-dimensional detection field that can better navigate and interpret electromagnetic distortions in complex urban environments, improving accuracy without proportionally increasing complexity
2Measurement precision
If continuous tracking of electromagnetic signals is implemented, then the detection accuracy improves, but the energy consumption increases
Solution Approach 1:
The sensor array implements periodic scanning of electromagnetic fields rather than continuous monitoring of all sensors simultaneously. Sensors are activated in sequences or patterns, providing continuous tracking capability while allowing individual sensors to enter low-power states periodically, thus maintaining detection accuracy while managing energy consumption
Solution Approach 2:
The system dynamically adjusts sensor activation and sampling rates based on detected signal strength and environmental conditions. In areas with strong signals or high distortion, sensors increase activity for improved accuracy; in stable low-signal areas, sensors reduce activity to conserve energy, creating a dynamic balance between precision and power consumption
3Adaptability or versatility
If multiple EM data sources are integrated, then the detection capability improves, but the system may indicate incorrect locations due to signal distortion from dense utility networks
Solution Approach 1:
The system incorporates feedback mechanisms where detected electromagnetic signals from multiple sources are continuously analyzed and cross-validated. When signal patterns indicate potential distortion or conflicting data from dense utility networks, the system adjusts its interpretation algorithms and can request re-sensing, improving reliability by filtering out incorrect location indications while maintaining versatile detection capability
Solution Approach 2:
The system uses composite detection methodologies that combine data from multiple sensor types and processing algorithms. By integrating diverse detection approaches (different frequency analyses, spatial pattern recognition, temporal signal processing), the system creates a composite interpretation that is more reliable than any single method, enabling accurate location indication even in environments with multiple EM data sources and signal distortions
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
Enhances the precision and accuracy of utility line detection by continuously tracking electromagnetic signals, even in complex environments, reducing the risk of incorrect location and ensuring safe excavation and infrastructure protection.
Implementation Method 1
an array of antennas or sensors integrated into a garment worn by a worker or a cover placed on a machine. The EM data, which is received and interpreted, is provided by signals from passive and active sources
Data Source
AI summary
A system and method for detecting utility lines by using a somatosensory system integrated into a garment. The somatosensory system comprises a conducting wire loop, including conductive wire antennas a somatosensory ring, a processor, and an amplifier. The somatosensory system is integrated into a garment. The garment is worn by a worker then who walks through a test area. The somatosensory system then detects the utility by receiving electromagnetic data and the location is determined by the processor.