Olfactory Sensor Fluid Characterization via Temporal Signal Labeling
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Solution Overview
Problem
Existing electronic devices for multisensory measurement of adsorption and desorption of compounds in fluids require rigorous control of fluidic exposure states and take a long time to reach equilibrium, making them complex and slow in characterization.
Innovation Solution
An electronic device with olfactory sensors and a processor that determines temporal evolution of signal variations to automatically label adsorption and desorption states, eliminating the need for prior knowledge of exposure states and fluid flow control, allowing for simpler and faster characterization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If rigorous control of fluidic exposure states is implemented, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system automatically determines temporal evolution of signal variations and identifies adsorption/desorption states without requiring external control of fluid exposure states. The processor autonomously analyzes signal patterns to detect state transitions, eliminating the need for complex valve control systems while maintaining measurement precision.
Solution Approach 2:
The system uses feedback from signal variations to automatically adjust the identification of exposure states. By continuously monitoring temporal signal evolution and comparing against predefined criteria, the system self-regulates the measurement process without external intervention, simplifying the overall device architecture.
2Measurement precision
If equilibrium steady state is reached through controlled exposure, then measurement precision is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary analysis of signal variations to predict the approach to equilibrium states. By monitoring temporal evolution patterns and detecting inflection points that indicate state transitions, the system identifies optimal measurement windows without waiting for complete equilibrium, significantly reducing characterization time while maintaining precision.
Solution Approach 2:
The system skips the traditional requirement to wait for full equilibrium steady state by identifying sufficient conditions for accurate measurement through signal pattern recognition. By detecting adsorption and desorption states through temporal signal variations, the system rushes through the measurement process more efficiently without sacrificing measurement quality.
3Measurement precision
If prior knowledge of exposure states is required, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The processor automatically determines temporal evolution of signal variations and identifies adsorption/desorption states without requiring user knowledge or input about exposure states. The system self-services by autonomously analyzing signal patterns, detecting state transitions, and characterizing fluid composition, making the device easy to operate while maintaining high measurement precision.
4Reliability
If rigorous control of exposure states is implemented, then reliability is improved, but device complexity increases
Solution Approach 1:
The system implements feedback through automatic analysis of temporal signal variations to ensure reliable measurement results. By continuously monitoring signal patterns and identifying state transitions based on predefined criteria, the system maintains measurement consistency without requiring complex external control mechanisms, achieving reliability through intelligent signal processing rather than hardware complexity.
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
Enables faster and more straightforward fluid characterization by automatically identifying adsorption and desorption states from signal variations, reducing the complexity of the measurement process and achieving stability without rigorous control of exposure states.
Implementation Method 1
Device and method for the multisensory measurement of adsorption and desorption of compounds in a fluid
Implementation Method 2
Device and method for the multisensory measurement of adsorption and desorption of compounds in a fluid
Data Source
AI summary
An electronic device for multisensory measuring the adsorption and desorption of compounds present in a fluid includes at least one olfactory sensor designed to interact with a plurality of compounds likely to be present in the fluid and provide a plurality of signals representative of a presence of the organic compounds in the fluid. It further includes a processor for processing the provided signals to obtain a characterization of the fluid composition. This processor is programmed to determine the temporal evolution of at least one variable estimated on the basis of a combination of temporal variations of the provided signals and, using this temporal evolution, to provide a temporal labeling indicating a start and an end of at least an adsorption state and a desorption state relative to the provided signals.