Management apparatus, air conditioning management system, and air conditioning management method
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Solution Overview
Problem
Existing methods lack objectivity in evaluating the comfort level of a room's smell, as a high uncomfortable index does not necessarily indicate discomfort for all individuals, and cannot express all smells as numerical values, making it difficult to determine comfort levels, especially for unknown smells.
Innovation Solution
A management apparatus with a detecting unit, input unit, storage unit, and control unit that detects room smells, acquires user sensory evaluations, and classifies attributes based on accumulated data to determine comfort levels, using sensors like QCM for gas detection and temperature/humidity monitoring, and controls air conditioning systems accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a high uncomfortable index is used to evaluate smell comfort, then the evaluation process is simplified, but the objectivity of the comfort level evaluation is insufficient because it does not necessarily indicate discomfort for all people
Solution Approach 1:
The system collects sensory evaluation data from multiple users and feeds it back to refine the comfort level determination. The determination unit uses this feedback to adjust thresholds and improve the accuracy of comfort level evaluation over time, resolving the contradiction between simple evaluation and objective results.
Solution Approach 2:
The system changes the parameters used for evaluation from a single uncomfortable index to multiple parameters including sensory evaluation data from multiple users, smell type information, and threshold values. This multi-parameter approach maintains evaluation simplicity while improving objectivity through diverse data inputs.
2Measurement precision
If numerical values are used to express smell, then the measurement is quantified and easier to process, but it is impossible to express all smells as numerical values making it difficult to determine comfort levels for unknown smells
Solution Approach 1:
The system introduces sensory evaluation data from human users as an intermediary between the physical smell and the numerical comfort level determination. This mediator bridges the gap between quantifiable sensor data and the complexity of human smell perception, enabling evaluation of unknown smells through human feedback.
Solution Approach 2:
The system segments the smell evaluation process into multiple components: sensor detection of smell presence, classification of smell type, collection of sensory evaluation data, and determination of comfort level. This segmentation allows the system to handle both known and unknown smells by processing each component separately and combining the results.
3Reliability
If sensory evaluation data from multiple users is collected and accumulated, then the objectivity of comfort level evaluation is enhanced, but the system complexity and data processing requirements increase
Solution Approach 1:
The determination unit automatically processes accumulated sensory evaluation data and updates thresholds without requiring manual intervention. The system serves itself by automatically refining its evaluation criteria based on accumulated data, reducing the operational complexity despite increased data processing requirements.
Solution Approach 2:
The system performs preliminary classification of smell types and pre-processing of sensory evaluation data before comfort level determination. This preliminary action organizes the data in advance, making the subsequent determination process more efficient and manageable despite the large volume of data.
4Adaptability or versatility
If the system dynamically updates thresholds based on accumulated evaluation data, then the adaptability to different smells is improved, but the computational load and processing time increase
Solution Approach 1:
The system performs threshold updates periodically rather than continuously, balancing adaptability with processing time constraints. The determination unit updates thresholds at appropriate intervals based on accumulated data, maintaining adaptability to different smells while avoiding excessive computational load at every moment.
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
Enhances the objectivity of comfort level evaluation and allows evaluation of unknown smells, providing a more reliable and adaptive air conditioning management system that maintains a comfortable environment by reducing variations in smell evaluations and dynamically adjusting to changes in indoor conditions.
Implementation Method 1
The first gas sensor may include a QCM sensor
Implementation Method 2
a first sensor configured to be capable of detecting a plurality of types of gas. The first gas sensor may include a QCM sensor
Data Source
AI summary
[Object] To provide a management apparatus and an air conditioning management system by which the objectivity of a comfort level evaluation relating to a smell in a room can be enhanced and a comfort level can be evaluated also with respect to an unknown smell.[Solving Means] A management apparatus according to an embodiment of the present invention includes a detecting unit, an input unit, a storage unit, and a control unit. The detecting unit detects a smell in a room. The input unit is operated by a user who enters the room and acquires a sensory evaluation of each user which relates to the smell in the room when the user enters the room. The storage unit accumulates evaluation data obtained by associating an output of the detecting unit and an output of the input unit with each other and stores a plurality of attributes relating to a comfort level of the smell in the room, the attributes being classified on the basis of the evaluation data. The control unit determines which of the plurality of attributes the output of the detecting unit belongs to.