- 专利标题: ESCALATOR DATA ACQUISITION FROM LEARNING ALGORITHM
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申请号: US16684914申请日: 2019-11-15
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公开(公告)号: US20210147189A1公开(公告)日: 2021-05-20
- 发明人: Derk Oscar Pahlke , Robert Takacs , Philipp Schedl
- 申请人: Otis Elevator Company
- 申请人地址: US CT Farmington
- 专利权人: Otis Elevator Company
- 当前专利权人: Otis Elevator Company
- 当前专利权人地址: US CT Farmington
- 主分类号: B66B25/00
- IPC分类号: B66B25/00 ; H04L29/08 ; H04W4/80 ; H04R1/08 ; G10L25/51 ; G06F3/0484 ; G01P15/02 ; G01G19/00 ; G01M99/00 ; B66B27/00
摘要:
A monitoring system for an escalator including: a local gateway device; an analytic engine in communication with the local gateway device through a cloud computing network; a weather data source in communication with the analytic engine through the cloud computing network, the weather data source being configured to obtain weather data at a location of the escalator; a sensing apparatus in wireless communication with the local gateway device through a short-range wireless protocol, the sensing apparatus comprising: an inertial measurement unit sensor configured to detect acceleration data of the escalator, and wherein the CBM health score is adjusted in response to at least the weather data.
公开/授权文献
- US11618652B2 Escalator data acquisition from learning algorithm 公开/授权日:2023-04-04
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