Pole-Mounted Sensor Fusion for Real-Time Power Line Anomaly Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for detecting electrical line anomalies, such as wildfires, downed power lines, and ice storms, rely on visual inspections, drone imagery, and satellite data, which are not real-time and ineffective during adverse weather conditions, and monitoring devices at substations are not predictive.
Innovation Solution
A sensor device with integrated image capture, sound, Lidar, infrared, radar, GPS, and weather sensors mounted on electrical poles to monitor 360° around power lines, generating predictive images and alarms, and communicating with a control room for proactive anomaly detection and mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If visual inspections, drone imagery, and satellite imagery are used for disaster detection, then coverage area is improved, but real-time detection capability deteriorates
Solution Approach 1:
The system segments the monitoring task by deploying multiple sensor devices at different substation locations, each independently monitoring its local area. This allows simultaneous wide coverage through multiple nodes while maintaining real-time detection at each segment, resolving the contradiction between coverage area and real-time response.
Solution Approach 2:
The system transitions from periodic remote imaging (2D/3D snapshots) to continuous multi-dimensional monitoring by integrating multiple sensor types (acoustic, optical, environmental) that operate simultaneously in real-time, adding the dimension of temporal continuity to the monitoring capability.
2Area of stationary object
If visual inspections and drone imagery are used, then detection scope is improved, but effectiveness during adverse weather deteriorates
Solution Approach 1:
The sensor device integrates multiple sensing capabilities (acoustic sensors, optical sensors, environmental sensors) into a single universal platform that can detect various anomaly types across different weather conditions. The acoustic sensors specifically provide all-weather detection capability independent of visual conditions, resolving the weather effectiveness contradiction.
Solution Approach 2:
The system introduces acoustic wave propagation as an intermediary detection mechanism that penetrates adverse weather conditions (smoke, fog, rain) that block visual inspections. Sound waves serve as a mediator that can detect anomalies through conditions that prevent optical detection, maintaining reliability during adverse weather.
3Measurement precision
If monitoring devices are installed at substation level, then local monitoring capability is improved, but predictive capability deteriorates
Solution Approach 1:
The system performs preliminary detection by continuously monitoring environmental parameters and acoustic signatures before actual anomalies occur. By detecting precursor signs (unusual sounds, environmental changes) and analyzing trends, the system predicts potential failures before they happen, transforming reactive monitoring into proactive prediction while maintaining local detection precision.
Solution Approach 2:
The system implements feedback loops that continuously analyze sensor data, compare it against baseline conditions, and generate predictions about future system states. This feedback mechanism processes local measurements in real-time to infer predictive information, resolving the contradiction between local precision and predictive capability.
4Adaptability or versatility
If multiple sensor types are integrated in one device, then detection comprehensiveness is improved, but device complexity deteriorates
Solution Approach 1:
The patent merges multiple sensor types (acoustic sensors, optical sensors, environmental sensors) and processing capabilities into a single integrated sensor device. This consolidation achieves comprehensive detection across multiple modalities while managing complexity through unified hardware and software architecture, resolving the contradiction between detection comprehensiveness and device complexity.
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 real-time, proactive detection and prediction of electrical line anomalies, providing operators with predictive images and automated responses to prevent incidents, enhancing grid resilience and safety.
Implementation Method 1
an image capture device; and a processing unit communicating with at least the image capture device
Implementation Method 2
a Lidar device
Implementation Method 3
a Lidar device
Implementation Method 4
an infrared detection device
Implementation Method 5
a Radar sensor device
Data Source
AI summary
One or more embodiments relate to a sensor device used to proactively detect an electrical line anomaly, an anomaly detection system, and a method for detecting an anomaly in one or more electrical lines. The device includes an image capture device, and a processing unit communicating with at least the image capture device, where the processing unit is adapted to send out an alarm and future potential image/video.