Invention Grant
- Patent Title: Environment control system
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Application No.: US17310670Application Date: 2020-03-12
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Publication No.: US12105482B2Publication Date: 2024-10-01
- Inventor: Sakiko Fukui , Miyae Yamakawa , Momoe Utsumi , Akari Higuchi , Haruka Tanaka , Mamoru Okumoto , Masanobu Kawazoe
- Applicant: DAIKIN INDUSTRIES, LTD.
- Applicant Address: JP Osaka
- Assignee: DAIKIN INDUSTRIES, LTD.
- Current Assignee: DAIKIN INDUSTRIES, LTD.
- Current Assignee Address: JP Osaka
- Agency: IPUSA, PLLC
- Priority: JP 19049194 2019.03.15 JP 20003216 2020.01.10
- International Application: PCT/JP2020/010945 2020.03.12
- International Announcement: WO2020/189529A 2020.09.24
- Date entered country: 2021-08-17
- Main IPC: A61B5/00
- IPC: A61B5/00 ; A61B5/0205 ; A61B5/024 ; A61B5/11 ; A61B5/16 ; A61B5/20 ; F24F11/63 ; G05B13/02 ; G16H10/60 ; G16H40/20 ; G16H50/20 ; G16H50/30 ; G16H50/70 ; G06V40/20 ; G16H40/67 ; H04N5/33

Abstract:
An environment control system that controls an environment of a subject is provided. The environment control system includes an actuator configured to control an environment of a subject, and a controller configured to control an operation of the actuator. The environment control system includes an inference unit that includes a first learned model and a second learned model. The first learned model has been trained by associating environmental information indicating an environment of a subject with data correlating with one of sleep, excretion, movement, skin, and stress conditions of the subject. The second learned model has been trained by associating the data correlating with one of the sleep, excretion, movement, skin, and stress conditions of the subject with data correlating with a magnitude of one or more risks that may occur with respect to the subject in a future period of time. The environment control system includes an operating condition determining unit configured to, in a case in which data correlating with the magnitude of the one or more risks that may occur with respect to a subject in a future period of time is inferred based on the first and second learned model, evaluate the inferred data to determine an operating condition of the actuator.
Information query