Mobile Stray Voltage Detection with Electric Field Sensing
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Solution Overview
Problem
Current methods for detecting stray voltage anomalies in power distribution systems are inefficient and prone to false readings due to interference from strong ambient magnetic fields, requiring manual inspections that are time-consuming and not suitable for large geographic areas.
Innovation Solution
A mobile stray voltage detection system equipped with vehicle-mounted sensor probes sensitive to electric fields, a graphical user interface, and GPS, which provides real-time visualization and audio alerts for anomaly detection, allowing for rapid and accurate identification of potential hazards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection with hand-held detection devices is used, then measurement accuracy can be achieved, but inspection efficiency and coverage area are severely limited
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated mobile detection system mounted on vehicles. The system uses electric field sensors to detect stray voltages automatically as the vehicle moves through the area, eliminating the need for inspectors to manually approach and contact each infrastructure element. This substitution maintains detection accuracy while dramatically increasing inspection speed and coverage area.
Solution Approach 2:
The detection system is designed to autonomously detect, locate, and record stray voltage anomalies without requiring continuous human intervention. The system automatically processes sensor data, identifies anomaly patterns, and generates location information, enabling the inspection process to serve itself and significantly improving productivity while maintaining measurement precision.
2Area of stationary object
If magnetic field detection is used in power distribution networks, then comprehensive monitoring is possible, but detection precision deteriorates due to interference from strong ambient magnetic fields
Solution Approach 1:
The patent extracts the detection function from magnetic field sensing and isolates it to electric field sensing only. By using sensors that specifically detect electric fields rather than magnetic fields, the system eliminates interference from the strong ambient magnetic fields generated by normal power distribution loads. This extraction allows comprehensive monitoring coverage while maintaining high detection precision for stray voltage anomalies.
Solution Approach 2:
The system employs sensors with specific local sensitivity characteristics - electric field sensors that are highly sensitive to the localized electric field signatures of stray voltage anomalies while being inherently insensitive to the pervasive magnetic field environment. This local quality approach enables precise anomaly detection within the complex electromagnetic environment of power distribution networks.
3Reliability
If inspectors make direct contact with electrical infrastructures for accurate measurements, then detection reliability is improved, but safety risks and time consumption increase
Solution Approach 1:
The patent introduces an intermediary mobile detection platform (vehicle-mounted system) that acts as a mediator between the inspector and the electrical infrastructure. The system detects stray voltages remotely through electric field sensing without requiring direct contact with energized components, maintaining detection reliability while eliminating safety risks and reducing inspection time significantly.
4Area of stationary object
If comprehensive manual inspection of large geographic areas is conducted, then detection coverage is improved, but resource requirements and inspection duration increase exponentially
Solution Approach 1:
The patent transforms the static, location-by-location manual inspection approach into a dynamic mobile detection system that continuously moves through the coverage area. The vehicle-mounted sensors continuously scan the environment as the vehicle travels, enabling comprehensive coverage of large geographic areas in a fraction of the time required for manual inspection, while maintaining detection reliability through continuous monitoring.
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
Enables efficient and accurate detection and localization of stray voltage anomalies over vast areas, reducing the risk of false readings and improving safety by providing real-time awareness and visual identification of potential hazards.
Implementation Method 1
sensor probe which is sensitive to the presence of an electric field
Data Source
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AI summary
A mobile apparatus and method for monitoring and controlling the detection of stray voltage anomalies is provided. The mobile apparatus is comprised of a detection system unit and an imaging system unit that are configured, respectively, to provide streaming data of electric field measurements and corresponding video image frames of a particular scene being patrolled and examined for anomalies. Data from both the detection system unit and the imagining system unit are synchronized and provided to a video based graphical user interface (VGUI) to enable an operator of the VGUI with a "moving chart" graphical display of electric field strength overlaid on video image frames of a particular location in the scene at the time of the measurement. The VGUI is additionally configured with an audio tone having a pitch that is proportional to the measured electric field strength to alert the operator of a potential anomaly. Upon detection of an anomaly, the operator may employ the use of features available on the VGUI to playback captured signal strength measurements and their corresponding video imagery for purposes of isolating the source of the anomaly.