Bus Bar Temperature and Current Detection in Power Grid Meters
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Solution Overview
Problem
Electric meters in power grids are prone to failure due to excessive heat and current overload, which can cause damage to the meter and surrounding systems, with existing methods relying on single temperature sensors that fail to provide timely warnings of impending failures.
Innovation Solution
A system with multiple temperature and current sensors associated with each bus bar, capable of detecting temperature and current events by comparing readings to established thresholds, and issuing warnings or alarms through a communications module to prevent damage, including the use of a temperature mapping function to calculate expected temperature ranges based on current input and a service switch for remote disconnection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple temperature and current sensors are deployed for each bus bar, then detection precision and reliability are improved, but device complexity increases
Solution Approach 1:
The system divides the monitoring function into multiple independent sensor units, with each bus bar equipped with its own temperature sensor and current sensor. This segmentation allows each sensor to independently monitor its specific bus bar, improving measurement precision while distributing the complexity across modular components rather than requiring a complex centralized monitoring system.
Solution Approach 2:
A communication module serves as an intermediary that collects data from multiple sensors and transmits it to a remote location. This intermediary component simplifies the overall system architecture by providing a standardized interface between the distributed sensors and the remote monitoring system, reducing the complexity of direct connections while maintaining high detection precision.
2Reliability
If temperature thresholds are dynamically adjusted based on current input, then reliability of failure prediction is improved, but device complexity increases
Solution Approach 1:
The temperature threshold is dynamically adjusted based on the measured current input. When current increases, the expected temperature threshold increases accordingly, and when current decreases, the threshold decreases. This dynamic adaptation improves the reliability of failure prediction by accounting for the relationship between current and temperature, while the automated calculation reduces the need for complex manual control systems.
Solution Approach 2:
The system changes the temperature threshold parameter based on the current parameter. By establishing a relationship between current magnitude and expected temperature, the system automatically adjusts the threshold to reflect realistic operating conditions, improving reliability without requiring complex control logic since the adjustment follows a predetermined relationship.
3Reliability
If real-time monitoring and remote notification systems are implemented, then reliability of preventing damage is improved, but loss of energy increases
Solution Approach 1:
The system automatically monitors temperature and current conditions, compares readings against dynamic thresholds, and triggers notifications without requiring continuous human intervention. This self-service approach improves damage prevention reliability by ensuring continuous monitoring, while energy consumption is minimized by only activating communication during actual events rather than maintaining constant active communication states.
Solution Approach 2:
The system performs monitoring continuously but transmits notifications periodically only when events occur (when thresholds are exceeded). This periodic notification approach maintains high reliability by continuously monitoring conditions while reducing energy loss by avoiding continuous active communication, transmitting data only when necessary.
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
The system effectively detects and mitigates overtemperature and current overload events, reducing the likelihood of meter failure and preventing damage to surrounding systems by providing early warnings and remote disconnection capabilities.
Implementation Method 1
at least one temperature sensor uniquely associated with each of the plurality of bus bars
Implementation Method 2
at least one current sensor uniquely associated with each of the plurality of bus bars
Implementation Method 3
expected thresholds for one of the plurality of bus bars may be determined based on heat rise generated by current flowing in the bus bar
Data Source
AI summary
A system that detects temperature and current events in a power grid is provided. The system includes at least one sensor associated with an electric meter; a plurality of bus bars connected to the electric meter; at least one temperature sensor uniquely associated with each of the plurality of bus bars; and at least one current sensor uniquely associated with each of the plurality of bus bars. The system detects a plurality of temperatures and/or currents and compares the detected plurality of temperatures and/or currents to expected thresholds or threshold ranges for temperatures and/or currents in the system to provide a comparison result and determines if a notification related to temperature and/or current events in the system should be sent based on the comparison result.