- 专利标题: SENSOR DATA TO IDENTIFY CATASTROPHE AREAS
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申请号: US16913779申请日: 2020-06-26
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公开(公告)号: US20200327791A1公开(公告)日: 2020-10-15
- 发明人: Phillip Moon , Sunish Menon , Jeffrey Kinsey , Jeffrey W. Stoiber
- 申请人: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
- 主分类号: G08B21/10
- IPC分类号: G08B21/10 ; G08B27/00 ; G01C21/34 ; G01S19/42 ; G06Q40/08 ; G08B21/18 ; G08B25/00 ; G08G1/01 ; G06Q50/26 ; H04Q9/00
摘要:
A computer-implemented method for generating an automated response to a catastrophic event, that includes (1) analyzing a sample set of data generated in association with a catastrophic event to determine a threshold pattern; (2) receiving, with customer permission or affirmative consent, home sensor data from a smart home controller via wireless communication or data transmission, the home sensor data including data regarding at least one of (i) structural status; (ii) wind speed; (iii) availability of electricity; (iv) presence of water; (v) temperature; (vi) pressure; and/or (vii) presence of pollutants in the air and/or water; (3) determining, based upon or from computer analysis of the home sensor data, whether the home sensor data indicates a match to the threshold pattern; and (4) automatically generating a response if the home sensor data indicates a match to the threshold pattern. As a result, catastrophic events and responses thereto may be improved through usage of a remote network of home sensors.
公开/授权文献
- US11348436B2 Sensor data to identify catastrophe areas 公开/授权日:2022-05-31
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