Turbidity Sensor Calibration Graphs for Pipeline Wall Effect Compensation
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Solution Overview
Problem
Optical turbidity sensors in process automation face challenges due to wall effects in pipelines, leading to corrupted measurements, which are difficult and costly to calibrate, especially in small diameters and reflective materials, where wall effects significantly influence readings and vary with turbidity values.
Innovation Solution
A method involving calibration graphs tailored to specific environmental conditions, allowing for sensor adjustment to compensate for wall effects by correlating true measured values with actual values, using pre-established calibration graphs for different materials, diameters, and turbidity values, and storing these in a superordinated unit for easy selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If black non-reflecting surfaces or larger pipeline dimensions are used to minimize wall effects, then measurement accuracy is improved, but cost and space requirements increase
Solution Approach 1:
The patent applies parameter changes by using calibration graphs that account for different wall separation distances and material properties. Instead of physically modifying the pipeline to eliminate wall effects, the system changes the measurement parameters through calibration data that compensates for wall reflections and scattering, allowing accurate measurements in existing pipelines without modification.
Solution Approach 2:
The patent replaces the mechanical approach of using black non-reflecting surfaces or larger pipelines with an optical/electronic substitution. Calibration graphs stored in memory are used to mathematically compensate for wall effects, substituting physical modifications with computational correction of the measured signals based on known wall properties and separation distances.
2Measurement precision
If calibration is performed to eliminate wall effects, then measurement accuracy is improved, but calibration complexity and time requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing calibration graphs for various wall separation distances and material conditions before actual measurement. Instead of performing complex calibration procedures on-site, the system has already performed the calibration work beforehand and stores the results in memory, allowing users to simply select the appropriate calibration graph based on their installation conditions.
Solution Approach 2:
The patent uses parameter changes by creating calibration graphs for different environmental conditions (wall materials, diameters, separation distances) and storing them in a lookup table. The system changes the measurement approach by selecting the pre-appropriate calibration parameters based on the installation environment, eliminating the need for complex real-time calibration procedures.
3Measurement precision
If calibration is performed at multiple turbidity values, then measurement accuracy is improved, but calibration time and cost increase
Solution Approach 1:
The patent applies preliminary action by performing the time-consuming multi-point calibration work in advance during manufacturing. The manufacturer calibrates the sensor at multiple turbidity values and stores the calibration data in graphs, so that during field deployment, users only need to select the appropriate pre-calibrated graph rather than performing time-consuming calibration measurements.
Solution Approach 2:
The patent uses copying by creating calibration graphs that represent the sensor's response characteristics under different conditions. Instead of repeating the actual calibration process on-site, the system copies the calibration data into stored graphs that can be quickly selected and applied, saving significant calibration time while maintaining measurement accuracy.
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 minimizes the impact of wall effects on measurement accuracy, reducing the need for complex on-site calibration and allowing for more reliable turbidity measurements across varying conditions, from 0 to 500 FNU, by using calibration graphs to adjust sensors based on environmental conditions.
Implementation Method 1
Optical turbidity determination rests on scattered light measurement from undissolved particles suspended in the medium to be measured
Implementation Method 2
the transmission signals are converted into received signals by interaction with, especially by scattering from, the medium as a function of the measured variable
Data Source
AI summary
A turbidity sensor and a method for determining at least one physical, chemical and/or biological measured variable of process automation in a medium by means of at least one optical sensor, comprising the steps of sending transmission signals into the medium, wherein the transmission signals are converted into received signals by interaction with, especially by scattering from, the medium as a function of the measured variable; receiving the received signals; and converting the received signals into the measured variable as a function of environmental conditions at the location of installation and, adjusting the sensor based on a calibration graph corresponding to environmental conditions at the location of installation.