Distributed Sensing Signal Correction for Temperature Accuracy

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Solution Overview

Problem

Distributed temperature sensing devices face limitations in accuracy due to noise and distortions in measurement data, which affect the determination of physical quantities like temperature along optical fibers.

Innovation Solution

A distributed sensing device and method that measure and correct signals using both a first relation, such as a ratio between Stokes and Antistokes signals, and a second relation, like a normalized difference, to improve accuracy by retrieving lost information and suppressing noise.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the ratio of Stokes and Antistokes signals is used to determine temperature, then losses in the path cancel out and temperature information is obtained, but noise from both signals contributes to higher noise in the ratio data

Engineering Contradiction:
Improvetemperature determination accuracyVSAvoidnoise in ratio data
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent transitions from using only a single relation (ratio) between Stokes and Antistokes signals to utilizing a second dimension of information by introducing a second relation (normalized difference). This additional dimensional approach allows the system to extract more information from the same measurement signals, enabling noise suppression while maintaining the benefits of ratio calculation for loss compensation.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent changes the parameters used for signal analysis by introducing a new parameter (normalized difference) in addition to the traditional ratio parameter. This parameter change enables the system to access different information content from the measurement signals, specifically allowing noise characterization and suppression while preserving the temperature-dependent information.

Inventive Principle:
Principle #35Parameter changes

2Loss of information

If only the first relation (ratio) between signals is used for determination, then the calculation is simple, but information is lost that could improve accuracy

Engineering Contradiction:
Improveinformation in measurement signalsVSAvoidsignal processing complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent makes the measurement system multi-functional by extracting multiple types of information from the same Stokes and Antistokes signals. The first relation (ratio) provides temperature information with loss compensation, while the second relation (normalized difference) provides noise characterization and additional temperature information. This universal approach allows the same measurement signals to serve multiple purposes, maximizing information utilization without requiring additional hardware.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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 significantly enhances the precision of temperature determination by considering additional information from the second relation, reducing noise and improving the signal-to-noise ratio, thereby achieving higher accuracy in temperature measurements.

Implementation Method 1

The temperature dependence of the Raman effect can be used for a DTS measurement. In Raman-DTS, the Stokes and Antistokes backscatter from a medium (like an optical fiber) are both measured.

Methodology Applied
Scientific EffectRaman effect:

Data Source

PatentUS10466116B2Distributed sensing considering two relations between measurement signals
Publication Date: 2019.11.05 AIQ DIENSTLEISTUNGEN UG
  • US10466116B2 patent drawing
  • US10466116B2 patent drawing
  • US10466116B2 patent drawing

AI summary

A distributed sensing device for determining a physical quantity, the device comprising a measuring unit configured for measuring at least two signals correlated to the physical quantity by distributed sensing, and a determining unit configured for bringing the at least two signals into a first relation used to determine the physical quantity, performing a correction based on a second relation between the at least two signals, and determining the physical quantity based on the first relation under consideration of the correction.