Odor Sensor Data Analysis Server with Dynamic Analyzer Selection
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Solution Overview
Problem
Conventional edge computing systems face challenges in efficiently analyzing odor sensor data when the analysis target is not fixed, leading to increased system load and difficulty in freely changing analysis targets, especially when multiple odor sensors with different characteristics are used.
Innovation Solution
A server apparatus and terminal apparatus configuration that holds multiple analyzers for odor analysis targets, allowing for the selection of appropriate analyzers and preprocessing based on the analysis target, with the terminal apparatus performing preprocessing and transmitting preprocessed data to the server for analysis, thereby reducing system load and enabling flexible analysis of various odor targets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple odor sensors with different characteristics are used to detect a wide range of substances, then the versatility of odor detection is improved, but the system load increases and it becomes difficult to freely change analysis targets
Solution Approach 1:
The system segments the analysis functionality by creating multiple specialized analyzers (e.g., first analyzer for alcohol detection, second analyzer for other odors) that can be independently selected and activated based on the specific analysis target, rather than using a single complex analyzer that handles all possibilities
Solution Approach 2:
The system dynamically selects which analyzer to use based on the designated analysis target. The server apparatus changes the analyzer being used according to the analysis target, allowing flexible adaptation without fixed constraints, thereby resolving the contradiction between versatility and system complexity
2Productivity
If edge computing is applied to perform preprocessing on collected sensor data, then data processing efficiency is improved, but the preprocessing contents must be fixed for each analysis target making it difficult to freely change analysis targets
Solution Approach 1:
The system makes the preprocessing content dynamic by selecting different preprocessing operations based on the designated analysis target. When the analysis target changes, the server apparatus determines the appropriate preprocessing content and transmits it to the terminal apparatus, enabling both efficient edge computing and flexible target selection
Solution Approach 2:
The system changes the parameters of preprocessing based on the analysis target. Different analysis targets require different preprocessing operations (e.g., different feature extractions, different data transformations), and the system adapts these parameters dynamically rather than using fixed preprocessing
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 configuration allows for efficient analysis of odor targets without increasing system load, enabling the analysis of multiple types of odors and prediction of disease contraction or structure degradation by selecting the appropriate analyzer and preprocessing the data accordingly.
Implementation Method 1
A piezoresistive element is embedded in each bridge. In such a configuration, the circular portion deforms due to stress occurring in the sensitive membrane when a substance sticks to the sensitive membrane, resulting in stress being applied to the bridges. As a result, the electrical resistance of the piezoresistive elements embedded in the bridges changes greatly, thus enabling the substance stuck to the sensitive membrane to be detected from the resistance value.
Data Source
AI summary
A server apparatus 10 is communicably connected to a terminal apparatus 20 that collects sensor data from an odor sensor 40. The server apparatus 10 includes an analyzer holding unit 11 that holds a plurality of analyzers for analyzing specific odor analysis targets, based on sensor data, an analyzer management unit 12 that selects an analyzer, determines preprocessing to be performed on the sensor data, according to the selected analyzer, and causes the terminal apparatus 20 to execute the preprocessing, an analysis execution unit 13 that executes analysis processing of the designated odor analysis target, by applying the selected analyzer to the preprocessed sensor data from the terminal apparatus, and an analysis result transmission unit 14 that transmits information indicating a result of the analysis processing to the terminal apparatus 20.