Odor Sensor Noise Removal via Cycle Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Odor measurement techniques using membrane-type surface stress sensors face challenges in removing noise components caused by environmental conditions and residual gases, which affect the accuracy of odor data.
Innovation Solution
A noise removing apparatus and method that acquires odor data from sensors, extracts noise components using reference or average data, and subtracts these components from the processed data to isolate the actual odor features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If odor data is measured using a membrane type surface stress sensor, then odor detection capability is achieved, but noise components from environmental conditions and residual gas affect measurement accuracy
Solution Approach 1:
The patent segments the odor measurement process into multiple measurement cycles, separating the target odor measurement from environmental noise by performing repeated measurements and extracting common noise components across cycles
Solution Approach 2:
The patent extracts noise components from multiple measurement cycles by identifying common patterns across measurements, then removes these extracted noise components from the odor data to isolate the actual odor signal
2Object-affected harmful factors
If gas exhaustion process is performed to remove residual gas, then residual gas removal is attempted, but complete removal of residual gas is difficult
Solution Approach 1:
The patent uses feedback from multiple measurement cycles to identify and characterize noise components, then applies this feedback information to remove noise from subsequent measurements, continuously improving measurement accuracy
Solution Approach 2:
The patent performs preliminary noise characterization by analyzing multiple measurement cycles before final odor analysis, preparing noise removal parameters in advance to improve subsequent measurement accuracy
Data Source
AI summary
In a noise removing apparatus, a data acquisition unit acquires sets of odor data measured using a sensor with respect to a plurality of objects, each set of odor data representing features of an odor of an object by respective rates of a plurality of odor molecules. A noise component extraction unit extract a noise component using a set of odor data. A noise removing unit removes the noise component from each set of odor data to be processed.