Leak Detection in Fluid Conduits via Temperature Derivative
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Solution Overview
Problem
Detecting leaks in fluid conducting conduits, particularly in underground transmission line feeder networks, is challenging due to the difficulty in distinguishing between leakage and other operational effects, despite the presence of sensors monitoring pressure, flow, and fluid levels, as hazardous dielectric fluids can leak due to corrosion or faulty operations.
Innovation Solution
A method involving the use of first and second flowrate sensors at the inlet and outlet of the conduit, respectively, to measure flowrates and calculate a time derivative of the average fluid temperature, predicting the flowrate difference and comparing it to the measured difference to determine if a leak exists, utilizing the continuity equation and assumptions about fluid density and temperature.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are placed throughout the feeder network to monitor pressure, flow, and level, then the ability to detect operational conditions is improved, but the difficulty in distinguishing between leakage and other operational effects increases
Solution Approach 1:
The patent introduces an intermediary calculation approach by computing the time derivative of average temperature as a mediator parameter. This temperature derivative serves as an intermediate indicator that indirectly reveals leakage conditions without being directly affected by normal operational variations, thereby resolving the difficulty in distinguishing leakage from operational effects.
Solution Approach 2:
The patent replaces direct mechanical flow monitoring with a thermal field-based detection method. By substituting mechanical flow measurements with temperature derivative calculations, the system achieves more reliable leakage detection that is less susceptible to false positives from operational variations.
2Quantity of substance
If multiple sensors are installed to monitor fluid conditions, then the quantity of measured parameters increases, but the complexity of analyzing and interpreting the data increases
Solution Approach 1:
The patent extracts the essential leakage detection function from the complex multi-parameter monitoring system. By isolating and emphasizing the temperature derivative parameter, the system separates the critical leakage indicator from the noise of other operational parameters, simplifying the analysis while maintaining comprehensive monitoring.
Solution Approach 2:
The temperature derivative calculation serves multiple functions: it monitors leakage, detects operational changes, and provides a unified indicator that simplifies the interpretation of multiple sensor readings. This multi-functional approach reduces the complexity of analyzing individual parameters while maintaining comprehensive detection capability.
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
This approach effectively identifies leaks by accurately predicting flowrate differences based on temperature derivatives, allowing for timely detection and minimization of environmental degradation, even in complex feeder networks.
Implementation Method 1
measuring an inlet flowrate of fluid flowing in the fluid conducting conduit using a first flowrate sensor
Implementation Method 2
calculating a time derivative of average temperature of the fluid flowing in the fluid conducting conduit
Data Source
AI summary
A method for detecting a leak in a fluid conducting conduit is disclosed. Inlet and outlet flowrates are measured for calculating a time derivative of average temperature of the fluid flowing in the fluid conducting conduit. A predicted difference in flowrate between a flowrate of fluid in the fluid conducting conduit adjacent the inlet and a flowrate of fluid in the fluid conducting conduit adjacent the outlet is calculated based on the calculated time derivative of the average temperature of the fluid flowing in the fluid conducting conduit. The predicted difference in flowrate is compared to a difference between the measured inlet flowrate and the measured outlet flowrate to determine whether a leak exists in the fluid conducting conduit.