Energy Network Monitoring via Distributed Sensor Fusion
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Solution Overview
Problem
Existing methods for monitoring the operating state of energy supply networks are inadequate, failing to provide a comprehensive and cost-effective analysis of the entire network.
Innovation Solution
The method involves a data processing cloud that combines measured values from at least two communication units installed at different locations, including high-voltage devices such as transformers and circuit breakers, to enhance state knowledge and transparency, allowing for intelligent linking of measurements and effective fleet management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measured values from a single location are used for analysis, then the monitoring system remains simple and cost-effective, but the determination of the energy supply network's operating state is inadequate
Solution Approach 1:
The patent combines measured values from multiple communication units located at different positions within the energy supply network. By merging data from these distributed sensors, the system achieves comprehensive monitoring of the entire network while maintaining cost-effectiveness through shared infrastructure.
Solution Approach 2:
The communication units are designed to serve multiple functions: they collect measured values from sensors, transmit data to the data processing cloud, and enable monitoring of various high-voltage devices. This multi-functionality reduces overall system complexity while improving measurement coverage.
2Loss of information
If data from multiple communication units at different locations are combined, then the state knowledge of the energy supply network is enhanced, but the data processing and analysis complexity increases
Solution Approach 1:
The data processing cloud processes information in a segmented manner, handling data from different communication units separately before integrating the results. This modular approach to data processing reduces complexity by breaking down the overall task into manageable segments.
Solution Approach 2:
The data processing cloud acts as an intermediary that receives, standardizes, and integrates data from multiple heterogeneous communication units. This mediator role simplifies the complexity by providing a unified interface between diverse data sources and the analysis system.
Data Source
AI summary
A method for monitoring an operating state of an energy supply network connects a data processing cloud to selected communication units at a query time over long-range communication connections. Selected communication units transmit measured values and/or values derived therefrom to the data processing cloud over a long-range connection. To receive measured values and/or values derived therefrom, each communication unit is connected, over a short-range communication connection, to at least one sensor on or in a high-voltage device of the network for capturing measured values. The data processing cloud determines the network operating state within an analysis based on measured values and/or values derived therefrom. To provide a simple and cost-effective analysis of the entire network operating state, the data processing cloud during analysis uses measured values and/or values derived therefrom from at least two selected communication units at different locations.