Sensor Module Noise Reduction via Dual Flow Channels
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Solution Overview
Problem
Existing sensor modules face challenges in accurately detecting specific components in fluids due to interference from noise components, which affects measurement accuracy.
Innovation Solution
The sensor module incorporates a first and second flow channel with filters to reduce noise components in both the sample and reference fluids, allowing the sensor to differentiate between the target component and noise, thereby improving measurement accuracy by calculating the concentration based on signal differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a sensor detects a specific component in a fluid sample, then the detection capability is provided, but noise components in the fluid interfere with measurement accuracy
Solution Approach 1:
The fluid sample is divided into two separate flow channels: a first flow channel that supplies the original sample fluid containing both the target component and noise components, and a second flow channel that supplies reference fluid with noise components removed by a filter. This segmentation allows the sensor to separately measure the target component signal and the noise component signal, which are then processed to eliminate noise interference and improve measurement accuracy.
Solution Approach 2:
A filter is introduced as an intermediary component in the second flow channel to remove noise components from the reference fluid. This filter acts as a mediator that selectively eliminates harmful noise substances while allowing the reference fluid to pass through, enabling the sensor to obtain a clean reference signal for noise subtraction and thereby improving the accuracy of target component detection.
2Reliability
If the sensor measures both target component and noise component signals, then comprehensive detection is achieved, but the concentration calculation becomes inaccurate due to noise interference
Solution Approach 1:
The noise component signal is extracted and measured separately using the second flow channel with the filter. By taking out the noise measurement from the mixed signal and measuring it independently, the system can then subtract this extracted noise component from the total signal measured in the first flow channel, thereby obtaining an accurate measurement of the target component concentration free from noise interference.
Solution Approach 2:
The sensor output signals from both flow channels are fed back to a calculation unit that processes the relationship between the first signal (containing target + noise) and the second signal (containing only noise after filtering). This feedback mechanism allows the system to dynamically calculate and subtract the noise component based on actual measurements, improving the reliability and accuracy of the target component concentration determination.
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 enhances measurement accuracy by reducing the impact of noise components, allowing for precise detection of the target component in the sample fluid.
Implementation Method 1
The second flow channel includes a first filter configured to reduce the amount of the first component in the reference fluid
Data Source
AI summary
A sensor module includes a sensor that detects a first component, a first flow channel to supply a sample fluid to the sensor, and a second flow channel to supply a reference fluid to the sensor. The reference fluid includes a second component different from the first component included in the sample fluid. The second flow channel includes a first filter that reduces the amount of the first component in the reference fluid.