Process Measurement Signal Integrity Detection in Utility Grids
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Solution Overview
Problem
Existing systems face challenges in detecting corrupted process measurement signals in electricity distribution and transmission systems, which can lead to service interruptions and equipment damage due to the vulnerability of digital communication networks to intrusions, making it difficult to determine the cause of disturbances in utility grids.
Innovation Solution
The system employs techniques to analyze process measurement signals using solitary time series, paired processes, and ensembles of time series to identify deviations from expected behaviors and relationships, generating an information transfer matrix to detect corrupt or spurious signals, thereby ensuring the integrity of system measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If digital communication networks are used to deliver process measurement signals, then the efficiency and speed of data transmission are improved, but the vulnerability to intrusions and signal corruption increases
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring measurement signals and comparing them against expected physical relationships. When deviations are detected, the system generates alerts and can trigger corrective actions, creating a closed-loop feedback system that maintains signal integrity despite transmission vulnerabilities
Solution Approach 2:
The patent introduces intermediary analysis systems that act as mediators between the digital communication network and the control systems. These intermediaries include signal analysis modules, physical relationship validation engines, and anomaly detection systems that filter and validate signals before they reach decision-making systems
2Measurement precision
If comprehensive analysis techniques are applied to detect corrupted signals, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The analysis system is segmented into multiple specialized modules: signal acquisition modules, physical relationship definition modules, anomaly detection modules, and response generation modules. Each module performs a specific function, allowing the complex analysis task to be divided into manageable, independent components that can be developed and maintained separately
Solution Approach 2:
The system employs universal analysis techniques that can be applied across multiple signal types and measurement contexts. The physical relationship validation engine and anomaly detection algorithms are designed to work with various measurement signals (voltage, current, temperature, pressure) without requiring separate specialized systems for each type
3Loss of time
If real-time monitoring and analysis are implemented, then the response time to disturbances is improved, but the energy consumption increases
Solution Approach 1:
The system applies partial analysis actions by monitoring all signals continuously but performing comprehensive anomaly detection and detailed analysis only when necessary. Routine signals are processed with lightweight validation, while suspicious or anomalous signals trigger more intensive analysis, reducing overall computational energy consumption while maintaining rapid response capability
Solution Approach 2:
The system implements periodic analysis cycles where signals are monitored continuously at low computational cost, and comprehensive analysis is performed at periodic intervals or when trigger conditions are met. This allows the system to maintain real-time monitoring capability while managing energy consumption through scheduled intensive processing
Data Source
AI summary
Systems and methods of the present disclosure are directed to determining the integrity of system measurements. The system and methods of the present disclosure can detect corrupted process measurement signals that can originate in instrumentation used with electricity distribution and transmission systems. These process measurement signals may be delivered by digital communications networks.