Air-conditioning control system, air-conditioning control apparatus, and air-conditioning control method

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Solution Overview

Problem

Conventional air-conditioning control systems struggle to adaptively control air conditioners when environmental sensors are moved due to changes in layout, leading to inaccurate environmental information acquisition and potential degradation of the area's environment.

Innovation Solution

An air-conditioning control system that groups environmental sensors based on correlation coefficients, regularly calculates these coefficients, and resets groups associated with sensors that no longer meet a threshold, allowing for adaptive control of air conditioners and accurate environmental information acquisition even when sensors are moved.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If environmental sensors are mounted on shelves or equipment to acquire environmental information close to that experienced by a body, then measurement precision is improved, but device complexity increases due to the need for wireless communication capabilities and placement coordination

Engineering Contradiction:
Improveenvironmental information accuracyVSAvoidsensor placement and communication system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The environmental sensors automatically perform self-grouping based on correlation coefficients of their measured environmental information, eliminating the need for manual placement configuration or complex communication coordination. The sensors autonomously determine their spatial relationships and form groups without external intervention, reducing system complexity while maintaining measurement precision.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system uses correlation coefficients as a parameter to automatically group sensors based on the similarity of their environmental measurements. By changing from manual placement-based grouping to correlation-based automatic grouping, the system reduces complexity while maintaining or improving measurement accuracy through data-driven spatial relationships.

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If conventional air-conditioning control systems use fixed sensor-group assignments, then device complexity is reduced, but adaptability deteriorates when sensors are moved due to layout changes

Engineering Contradiction:
Improvesensor movement adaptationVSAvoiddynamic group management system
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system continuously calculates correlation coefficients between environmental information from different sensors and uses this feedback to dynamically adjust sensor groupings. When sensors are moved, the changed correlation patterns automatically trigger regrouping, enabling the system to adapt to layout changes without manual intervention while maintaining manageable complexity through automated feedback loops.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The sensor groupings transition from static, pre-assigned configurations to dynamic, correlation-based assignments that automatically adjust when sensors are moved. This dynamic approach allows the system to adapt to layout changes while the automated correlation calculation and regrouping processes keep the overall system complexity manageable.

Inventive Principle:
Principle #15Dynamics

3Adaptability or versatility

If the system regularly calculates correlation coefficients for all sensors, then adaptability is improved, but processing load increases

Engineering Contradiction:
Improvesensor regrouping accuracyVSAvoidprocessing efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The system segments sensors into groups based on correlation coefficients and performs calculations primarily within these groups rather than across all sensors universally. This segmentation reduces the overall processing load while maintaining adaptability, as the correlation calculations are localized to smaller sensor subsets that share similar environmental characteristics.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs correlation coefficient calculations selectively rather than continuously for all sensor pairs. By calculating correlations only when necessary (e.g., when regrouping is triggered or at scheduled intervals) and only for relevant sensor combinations, the system achieves sufficient adaptability while avoiding excessive processing loads from constant full-system calculations.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS10309674B2Air-conditioning control system, air-conditioning control apparatus, and air-conditioning control method
Publication Date: 2019.06.04 KYOCERA CORP
  • US10309674B2 patent drawing
  • US10309674B2 patent drawing
  • US10309674B2 patent drawing

AI summary

An air-conditioning control apparatus is configured to group a plurality of environmental sensors into a plurality of groups, based on correlation coefficients between environmental information acquired by the plurality of environmental sensors. The air-conditioning control apparatus is configured to regularly calculate a correlation coefficient between environmental information acquired by one or more environmental sensors in each of the plurality of groups. The air-conditioning control apparatus is configured to reset, in the case where the calculated correlation coefficient is less than a predetermined value, a group associated with an environmental sensor. The air-conditioning control apparatus is configured to control each of a plurality of air conditioners that are each associated with any of the plurality of groups, based on environmental information acquired by each environmental sensor in the group associated with the air conditioner.