Building Device Coordination via Correlated Parameter Detection
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Solution Overview
Problem
Existing home management systems require users to pre-register the installation locations of devices for coordinated operation, which adds unnecessary labor and complexity.
Innovation Solution
A coordination suggesting apparatus that collects influenced parameter values from devices connected to a network, analyzes these values to detect correlated devices, and suggests coordination between these devices to the user, thereby eliminating the need for manual registration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users pre-register installation locations of devices for coordinated operation, then coordinated operation between devices can be achieved, but user labor and system complexity increase
Solution Approach 1:
The system automatically detects device installation locations and establishes coordination relationships without user intervention. The server collects influenced parameter values from devices, analyzes correlations, and automatically determines which devices should operate together, allowing the system to serve itself rather than requiring user configuration
Solution Approach 2:
The server performs preliminary analysis of device correlations by collecting and analyzing influenced parameter values before coordinated operation is needed. This preliminary detection of device relationships enables automatic coordination setup in advance, eliminating the need for users to pre-register installation locations
2Reliability
If users pre-register installation locations of devices, then coordinated operation can be established, but time consumption increases
Solution Approach 1:
The system automatically performs device correlation detection and coordination establishment without requiring user time for manual registration. The server autonomously collects data, analyzes relationships, and configures coordinated operation, freeing users from time-consuming setup tasks
Solution Approach 2:
The server performs correlation analysis in advance by continuously collecting influenced parameter values and detecting device relationships. This preliminary work is done automatically before coordinated operation is required, eliminating setup time for users
Data Source
AI summary
A server includes an influenced parameter collector to, when a setting parameter of a first device that is any one of all devices connected to a network built in a building is changed, collect, from each of devices that measure an influenced parameter among all the devices, values of the measured influenced parameter, the influenced parameter being a parameter that is influenced by change of the setting parameter of the first device, a data analyzer to analyze the collected values of the influenced parameter and detect a second device considered as having a correlation with the first device about a change trend of the values of the influenced parameter, and a coordination suggester to make a suggestion to a user about coordination between the first device and the second device when the second device is detected and coordinated operation between the first device and the second device is achievable.