Adaptive Conductivity Sensor Filter for Interference

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Solution Overview

Problem

Conductivity sensors face challenges in achieving a balance between rapid response times and reliable measurement results due to fluctuations caused by component tolerances and interfering influences like EMC disturbances, which affect the accuracy of conductivity value determination.

Innovation Solution

A method using a conductivity sensor with a control unit that determines a signal quality indicator and dynamic factor to dynamically adjust the filter function, allowing for efficient reduction of strong fluctuations and quick response to interfering influences, thereby improving measurement accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a large filter depth is used to reduce the influence of brief interfering influences, then measurement reliability is improved, but response time becomes slow

Engineering Contradiction:
Improvemeasurement reliabilityVSAvoidresponse time
Core Design Contradiction:
ReliabilityVSSpeed

Solution Approach 1:

The patent applies dynamics by making the filter depth adaptive rather than fixed. The control unit dynamically adjusts the filter depth based on the detected interference level in the measurement signal. When interference is detected, the filter depth increases to suppress noise; when interference is absent, the filter depth decreases to allow rapid response. This dynamic adjustment resolves the contradiction between reliability and response time.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the parameter of filter depth based on signal quality assessment. The control unit evaluates the measurement signal for interfering influences and modifies the filtering parameters accordingly. This parameter change allows the system to optimize between noise suppression and response speed depending on actual measurement conditions.

Inventive Principle:
Principle #35Parameter changes

2Speed

If a small filter depth is used to achieve rapid response time, then response speed is improved, but measurement reliability deteriorates due to stronger influence of brief interfering influences

Engineering Contradiction:
Improveresponse timeVSAvoidmeasurement reliability
Core Design Contradiction:
SpeedVSReliability

Solution Approach 1:

The system dynamically adjusts filter depth based on real-time interference detection. When no interference is present, a small filter depth enables rapid response. When interference is detected, the filter depth increases to maintain reliability. This dynamic behavior resolves the contradiction between speed and reliability.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The control unit continuously monitors the measurement signal for interfering influences and uses this feedback to adjust the filter depth. This closed-loop feedback mechanism ensures that the filter depth is optimized for current conditions, maintaining reliability while enabling fast response when appropriate.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If strong filtering is applied to reduce fluctuations in conductivity signal, then measurement precision is improved, but response time increases

Engineering Contradiction:
Improveconductivity measurement precisionVSAvoidresponse time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The filter depth is dynamically adjusted based on the presence of interfering influences. Strong filtering is applied only when interference is detected and precision is needed; otherwise, lighter filtering is used to maintain fast response. This dynamic approach resolves the contradiction between precision and response time.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The filtering parameters are changed adaptively based on signal quality assessment. The control unit modifies the filter depth parameter to balance precision and response time requirements according to actual measurement conditions, applying strong filtering only when necessary.

Inventive Principle:
Principle #35Parameter changes

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 method enables quick and qualitative response to unforeseen interfering influences, reducing strong fluctuations in conductivity signal measurements and providing improved measurement reliability.

Implementation Method 1

transmitting a stimulation signal into the measurement medium at the transmitting unit... a sinusoidal electrical AC voltage at the electrodes ensures a current flow through the medium

Methodology Applied
Scientific EffectElectrical conduction: Conduction (electrical)

Implementation Method 2

the electrical resistance of a liquid medium is ascertained by measuring at least one electrical variable such as voltage and/or current

Methodology Applied
Scientific EffectElectrical resistance measurement: Electrical Resistance

Data Source

PatentUS11761998B2Method for determining a conductivity value
Publication Date: 2023.09.19 ENDRESS HAUSER CONDUCTA GMBH CO KG
  • US11761998B2 patent drawing
  • US11761998B2 patent drawing

AI summary

The present disclosure relates to a method for determining a conductivity value of a measurement medium using a conductivity sensor. The method includes providing a conductivity sensor with at least one transmitting unit, at least one receiving unit, and a control unit having a storage module, and transmitting a stimulation signal into the measurement medium at the transmitting unit by the control unit. The method also includes receiving a detection signal at the receiving unit, determining a signal quality indicator by the control unit based on the detection signal, and determining a conductivity signal corresponding to the detection signal. The method further includes storing the conductivity signal, determining a dynamic factor by the control unit based on the conductivity signal, filtering the conductivity signal using a filter function depending on the determined signal quality indicator and the dynamic factor, and outputting a filtered measured value of the filtered conductivity signal.