Comfort Degree Calculation Unit for Dynamic Environment Sensing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
It is challenging to accurately determine and improve the comfort level of areas different from a user's current location, as existing technologies struggle to weigh the importance of various environmental parameters and automatically update comfort assessments based on user behavior, especially in dynamic environments like trains where factors like congestion, air quality, and personal situations vary.
Innovation Solution
An information processing apparatus that includes a comfort degree calculation unit to assess comfort based on sensor data from other users and an output control unit to provide accurate comfort information to users, using a system with sensors for temperature, humidity, odor, and noise, and dynamically updating thresholds based on user behavior and situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comfort degree is calculated using sensor data from multiple users, then measurement precision of comfort assessment is improved, but device complexity increases
Solution Approach 1:
The system segments the comfort assessment task by assigning different sensor types (temperature, humidity, odor, noise) to different measurement functions, and segments the data processing by having the server handle aggregation and analysis while mobile terminals handle data collection and display. This segmentation allows accurate multi-parameter comfort assessment without overwhelming any single device
Solution Approach 2:
The server acts as an intermediary that receives sensor data from multiple mobile terminals, aggregates the data, calculates comfort degrees, and returns results to individual users. This intermediary approach enables centralized processing of multi-user data without requiring direct peer-to-peer communication between terminals, simplifying the overall system architecture while improving measurement precision through aggregated data
2Adaptability or versatility
If real-time comfort information is provided to users, then adaptability of the system is improved, but loss of time for data processing increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and pre-processing sensor data in the background, so when a user requests comfort information, the data is already prepared and ready for quick analysis. The server maintains ready-to-use comfort degree calculations based on aggregated sensor data, enabling rapid response without extensive real-time processing delays
3Ease of operation
If notification thresholds are dynamically adjusted based on user behavior, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system implements self-service by automatically adjusting notification thresholds based on observed user behavior patterns. The server monitors whether users move to recommended comfortable areas and uses this feedback to dynamically refine threshold settings without requiring manual user configuration. This automated adaptation improves ease of operation while concentrating the complexity in the server's control logic rather than user devices
Data Source
AI summary
There is provided an information processing apparatus capable of improving the accuracy of the degree of comfort in another area to be learned by a user, the information processing apparatus including: a comfort degree calculation unit that calculates a degree of comfort of a particular user on the basis of sensor data of another user; and an output control unit that controls such that information regarding the degree of comfort is output to a terminal of the particular user.