IED Configuration Management System for Power Monitoring Anomaly Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Configuring moderately-sized power monitoring systems with hundreds of devices is time-consuming and prone to errors due to the need for extensive knowledge of configuration parameters, with no easy way to detect discrepancies among devices.
Innovation Solution
A configuration management system that stores device lists and parameter templates in a database, allowing for automated analysis and modification of anomalous parameter values, reducing the time required for commissioning from days to hours.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual configuration of each device is performed, then configuration accuracy can be maintained, but configuration time increases significantly
Solution Approach 1:
The patent creates a master configuration template that can be copied and applied to multiple devices. The system retrieves configuration parameters from a database, compares them against actual device configurations, and automatically identifies discrepancies. This copying approach allows rapid deployment of consistent configurations across hundreds of devices while maintaining accuracy through automated verification.
Solution Approach 2:
The system performs preliminary configuration by retrieving expected parameter values from a database before actual device configuration. By pre-establishing the master configuration template and comparing it against device states, the system proactively identifies configuration issues before they cause operational problems, reducing both time and errors.
2Manufacturing precision
If extensive knowledge of configuration parameters is required, then configuration accuracy can be maintained, but operator complexity increases
Solution Approach 1:
The system performs self-verification by automatically retrieving configuration parameters from its database and comparing them against actual device configurations. The configuration management system independently checks for discrepancies without requiring operator expertise in each specific parameter, thereby maintaining accuracy while reducing operator complexity.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring device configurations against the master template and automatically identifying anomalies. This closed-loop feedback ensures configuration accuracy is maintained through automated detection and reporting, eliminating the need for operators to possess extensive knowledge of all configuration parameters.
3Productivity
If automated configuration is implemented, then configuration time is reduced, but configuration accuracy may deteriorate
Solution Approach 1:
The automated configuration system incorporates feedback loops that continuously verify device configurations against the master template stored in the database. The system automatically detects discrepancies and reports anomalies, ensuring that speed gains from automation do not compromise configuration accuracy. The feedback mechanism validates each configuration operation.
Solution Approach 2:
The system performs preliminary verification by retrieving expected configuration values from the database before finalizing device configurations. This pre-check mechanism ensures that automated configuration operations maintain accuracy by comparing against pre-established correct values, preventing erroneous configurations from being applied.
4Productivity
If configuration parameters are not verified, then configuration process is faster, but system reliability decreases
Solution Approach 1:
The system implements automated feedback verification by comparing actual device configurations against the master template and generating anomaly reports. This feedback mechanism ensures that configuration verification is performed automatically without manual intervention, maintaining both high commissioning speed and system reliability through continuous validation.
Solution Approach 2:
The configuration management system performs self-verification by independently checking device configurations against stored parameters. This self-service approach to verification ensures that reliability is maintained through automated checking while preserving commissioning speed, as the system verifies configurations without requiring external validation processes.
Data Source
AI summary
A method of analyzing configuration parameters of IEDs across one or more networks in an electrical system and automatically determines whether any anomalies exist in the configuration parameters for a selected group of IEDs. A list of all IEDs in the electrical system along with configuration templates including firmware and program versions maintained in a master list are stored in central database on a server communicatively coupled to the IEDs through the networks. Configuration parameter values from the IEDs and from any newly added IEDs are scanned and compared against the configuration templates. Anomalies in the parameter values are identified and highlighted to the user, who may decide to accept the anomaly as expected or change the anomalous parameter value for one IED or a group of IEDs. The master list is updated with any user-approved changes to parameter values. Periodic polling of configuration parameters is also supported.