Mesh Network Electrical Asset Monitoring for Fault Detection
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Solution Overview
Problem
Current electrical infrastructure monitoring systems fail to accurately pinpoint fault locations, identify fault causes, and manage electricity distribution efficiently, leading to inefficiencies and costs associated with manual data collection and potential billing inaccuracies due to outdated metering systems.
Innovation Solution
A system comprising sensors on electrical assets that collect and transmit data via a mesh network to a central command center, utilizing globally synchronized timers and encryption for precise fault identification and efficient communication paths, along with power supplies for energy extraction and storage, enabling real-time monitoring and management of electrical assets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensors are implemented on power lines to monitor electrical assets, then fault detection capability is improved, but operational complexity and cost increase due to manual data collection requirements
Solution Approach 1:
The monitoring system performs self-service by automatically transmitting sensor data through the mesh network without requiring manual data collection. The system uses existing communication infrastructure and self-organizes data transmission paths, eliminating the need for operators to physically collect data from each sensor location.
Solution Approach 2:
The mesh network acts as an intermediary between sensors and the central monitoring system. It automatically routes data packets between nodes, providing intelligent mediation that simplifies the overall system architecture and reduces operational complexity while maintaining reliable fault detection.
2Measurement precision
If manual data collection methods are used to verify meter accuracy, then billing accuracy can be improved, but labor costs and time consumption increase significantly
Solution Approach 1:
The system enables continuous automated monitoring of electrical parameters and meter accuracy through the mesh network. Data is collected and transmitted continuously without interruption, eliminating the periodic manual data collection cycles and providing real-time billing accuracy verification.
Solution Approach 2:
The mechanical process of manual data collection is replaced by an automated electronic system. Sensors continuously measure electrical parameters and the mesh network automatically transmits this data to the central system, substituting human labor with automated electronic measurement and communication processes.
3Measurement precision
If a centralized monitoring system is implemented, then fault identification accuracy is improved, but communication infrastructure complexity increases
Solution Approach 1:
The monitoring system is segmented into distributed sensor nodes that independently monitor local conditions and transmit data through the mesh network. This segmentation allows the central system to receive processed information from multiple independent sources, improving fault identification accuracy while keeping each node simple and the overall infrastructure manageable.
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 rapid fault detection and response, improves power factor correction, reduces manual data collection costs, and prevents billing inaccuracies by providing precise monitoring and management of electrical assets, enhancing overall efficiency and accuracy in electricity distribution.
Implementation Method 1
a power supply for extracting and storing energy from the electrical asset and supplying power to at least the sensor, the timer, and the radio
Data Source
AI summary
A system and method of monitoring a plurality of electrical assets comprise an electricity distribution infrastructure, including a plurality of electrical asset sensors coupled to the electrical assets for monitoring an operating condition of the electrical assets as well as any fault conditions. The sensors may include a current transformer for obtaining a current waveform, a GPS receiver for applying a synchronized time-stamp to the waveform data, and a mesh network radio for transmitting the time-stamped waveform data. Data from the plurality of sensors may be encrypted and transmitted over a mesh network to one or more gateways that are in communication with a central command processor. In response to an abnormal operating condition of any electrical asset, the central command processor may determine a probable fault location, a probable fault type, and a fault response.