PV Fault Notification Mapping for Faster Maintenance Response
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Solution Overview
Problem
Existing power generation systems, particularly photovoltaic (PV) systems, face challenges in efficiently identifying and notifying users of faults within the system, leading to potential power losses and maintenance delays.
Innovation Solution
The implementation of a fault identification and notification system that utilizes mapping of faults, root-causes, notification rules, and lookup tables to convert technical fault identifications into actionable notifications on a user interface, taking into account the impact of faults on the system and user-specific criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fault identification system is implemented in PV systems, then the reliability of fault detection is improved, but the device complexity increases due to mapping tables and notification rules
Solution Approach 1:
The patent pre-establishes mapping tables that associate fault identifications with root causes, impact levels, and notification rules before actual faults occur. This preliminary preparation allows the system to quickly convert technical fault codes into user-friendly notifications without complex real-time analysis, resolving the contradiction between reliable detection and system complexity
Solution Approach 2:
The patent introduces mapping tables and notification rules as intermediary layers between the fault detection mechanism and the user interface. These intermediaries translate complex technical fault data into simplified user notifications, improving reliability of fault identification while shielding users from system complexity
2Measurement precision
If detailed fault mapping and impact calculation are performed, then the measurement precision of fault impact is improved, but the loss of time increases due to calculation requirements
Solution Approach 1:
The patent pre-calculates and stores impact values, power loss estimates, and energy loss projections in mapping tables based on historical data and system models. When a fault occurs, the system simply retrieves pre-computed values rather than performing real-time calculations, achieving precise fault impact measurement without time loss
Solution Approach 2:
The patent implements selective calculation where only the specific impact parameters needed for the current fault type are computed and stored in advance. This partial pre-computation approach provides sufficient precision for notification purposes while minimizing the time and computational resources required
3Adaptability or versatility
If user-specific notification rules are implemented, then the adaptability of the notification system is improved, but the device complexity increases due to multiple notification rules
Solution Approach 1:
The patent creates a universal notification framework where a single set of mapping tables and rules can serve multiple user types and system configurations. The same infrastructure adapts to different users by selecting appropriate pre-defined notification preferences, achieving high adaptability without increasing fundamental system complexity
Solution Approach 2:
The patent enables adaptability by allowing users to modify parameters within the notification rules such as contact methods, timing preferences, and severity thresholds. These parameter changes customize notifications for different users while maintaining the underlying unified system structure, avoiding complexity multiplication
Data Source
AI summary
A fault identification may be triggered by a component of a power generation system (PGS), such as a hardware component, a controller of a hardware component, a device of the PGS, a computer connected to the PGS, a computer configured to monitor the PGS, and/or the like. The fault identification may be the result of a failure of a component of the PGS, a future failure of a component of the PGS, a routine maintenance of the PGS, and/or the like. The fault is converted to a notification on a user interface using a mapping of faults, root-causes, notification rules, and/or the like. The conversion may use one or more lookup tables and/or formulas for determining the impact of the fault on the PGS, and/or the like.