Odor Detection Model Selection by Object Speed
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Solution Overview
Problem
Existing odor detection systems struggle to accurately determine the state of an object emitting an odor when the object's movement speed varies, leading to inconsistent determination results.
Innovation Solution
An odor detection system that includes an odor sensor, a speed calculation section, and a determination section. The system calculates the movement speed of the object and uses this information, along with the output value of the odor sensor, to determine the object's state using pre-learned odor determination models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an odor detection device uses a fixed odor determination model regardless of object speed, then the device structure remains simple, but the determination accuracy deteriorates when object movement speed varies
Solution Approach 1:
The patent implements dynamic selection of odor determination models based on the detected movement speed of the object. The determination section switches between different pre-stored models (first model for low speed, second model for high speed) to adapt to varying object speeds, thereby maintaining high determination accuracy across different motion conditions without requiring a completely complex reconfiguration system.
Solution Approach 2:
The patent changes the parameter of movement speed to select appropriate odor determination models. By detecting the object's speed and using it as a selection criterion, the system adapts the determination process to match the object's motion state, resolving the contradiction between maintaining simple structure and achieving high accuracy across varying speeds.
2Reliability
If the odor detection device uses multiple speed-specific determination models, then determination accuracy improves for moving objects, but the device complexity increases
Solution Approach 1:
The patent segments the odor determination process into multiple speed-specific models: a first odor determination model for objects moving below a threshold speed and a second odor determination model for objects moving at or above the threshold speed. This segmentation allows each model to be optimized for its specific speed range, improving overall reliability while keeping individual models relatively simple.
Solution Approach 2:
The patent introduces a speed calculation section as an intermediary that detects object speed and mediates the selection between different odor determination models. This intermediary component automates the model selection process, reducing the complexity of manual model management while ensuring the appropriate model is used for each detection scenario.
3Reliability
If the odor detection device does not consider movement speed, then the processing logic remains simple, but false alarms increase when objects move at different speeds
Solution Approach 1:
The patent dynamically adjusts the odor determination process based on the object's movement speed. By switching between speed-appropriate models, the system reduces false alarms that would occur when using a fixed model for objects of varying speeds, while maintaining relatively simple processing logic through automated model selection.
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 system effectively determines the state of an object regardless of its movement speed, improving accuracy and reducing false alarms by selecting appropriate odor determination models based on speed.
Implementation Method 1
an odor sensor that reacts to an odor of an object
Data Source
AI summary
The odor detection system of the present invention includes an odor sensor which reacts to the odor of an object, a speed calculation section which calculates the movement speed of the object as viewed from the odor sensor, and a determination part which determines the state of the object on the basis of the outputted value of the odor sensor and the movement speed of the object. Specifically, the odor determination system includes a plurality of odor determination models that have learned, for each of the plurality of values of movement speed, the output value of the odor sensor as an explanatory variable and the state of the object as an objective variable, and the determination section selects one of the odor determination models based on the movement speed calculated by the speed calculation section, and determines the state of the object using the selected odor determination model.