Odor Data Crowdsourcing System with Environmental Validation
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Solution Overview
Problem
Existing odor data labeling technologies do not consider the measurement environment, which affects sensor detection values due to factors like temperature and humidity, leading to inaccurate odor data acquisition.
Innovation Solution
An information processing device and method that acquires both the object to be measured and measurement environment information, determines the appropriate object to measure based on this data, instructs the measurer, and rewards the measurer upon successful data acquisition, ensuring consideration of the measurement environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If odor data is collected without considering measurement environment, then data collection is simple and fast, but data quality and reliability deteriorate due to sensor behavior changes
Solution Approach 1:
The system performs preliminary actions by acquiring measurement environment information (temperature, humidity, pressure) before odor data collection, and pre-registers acceptable measurement environments for each measurer. This preparation ensures that when actual measurement occurs, the environment is already validated, maintaining data reliability without adding significant time to the collection process.
Solution Approach 2:
The system introduces measurement environment information as an intermediary element between the measurer and the odor data collection process. This intermediary layer validates whether measurement conditions are appropriate before data is collected, acting as a mediator that ensures data quality without directly interfering with the measurement act itself.
2Reliability
If measurement environment information is collected and validated, then data quality improves, but system complexity and processing requirements increase
Solution Approach 1:
The information processing device performs multiple functions: it manages measurer registrations, stores acceptable measurement environment ranges, validates actual measurement conditions, and coordinates data collection. By consolidating these diverse functions into a single multi-functional system, the patent avoids the need for separate specialized components for each task, thereby managing complexity while ensuring data quality.
Solution Approach 2:
The system manages measurement environment parameters (temperature, humidity, pressure) by comparing actual values against pre-defined acceptable ranges. This parameter-based validation approach simplifies complexity by using straightforward numerical comparisons rather than complex qualitative assessments, enabling reliable data quality control through manageable parameter monitoring.
3Reliability
If measurers are instructed to measure only in specific environments, then data reliability improves, but ease of operation decreases due to additional constraints
Solution Approach 1:
The system enables measurers to self-register their acceptable measurement environments and receive automated instructions about whether current conditions are suitable for measurement. This self-service approach allows measurers to independently manage their own measurement conditions without requiring complex manual verification or intervention from the system operator, maintaining simplicity while ensuring reliability.
Solution Approach 2:
The system provides feedback to measurers about whether current measurement environments are acceptable based on their registered preferences and the actual environmental conditions. This feedback mechanism guides measurers on when and where to perform measurements without requiring complex decision-making, simply following the system's environmental suitability assessments to maintain data reliability.
Data Source
AI summary
An information processing device is configured to include an acquisition unit, a determination unit, an instruction unit, an instruction unit, and output unit. The acquisition unit is configured to acquire measurement target and measurement environment information, and measurement environment information that a measurer can measure with an odor sensor. The determination unit is configured to determine a measurement target that the measurer should be instructed to measure, based on the measurement target and measurement environment information and the measurement environment information that can be measured, the instruction is configured to instruct the measurer to measure the determined measurement target. The output unit configured to output a reward to the measurer after the acquisition means acquires odor data of the determined measurement target.