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公开(公告)号:US20170361259A1
公开(公告)日:2017-12-21
申请号:US15532186
申请日:2015-11-25
Applicant: 3M Innovative Properties Company
Inventor: Andrew R. FOX , Eric C. LOBNER , Theresa M. MEYER , Brian J. STANKIEWICZ
CPC classification number: B01D46/0086 , B01D2279/50 , F24F3/16 , F24F11/00 , F24F11/30 , F24F11/39 , F24F11/63 , F24F2110/50 , F24F2110/52 , F24F2130/00 , F24F2130/10
Abstract: Computer-implemented systems and methods for estimating a replacement status of an HVAC air filter. Outdoor weather data (e.g., outdoor temperature information), is obtained. A Total Runtime Value of the HVAC system is determined based upon the obtained outdoor weather data. Finally, a replacement status of the air filter is estimated as a function of a comparison of the Total Runtime Value with a Baseline Value. By correlating air filter replacement status with an estimated runtime of the HVAC system, a credible predictor of air filter usage is provided. By estimating fan runtime based on easily-obtained outdoor weather data, the methods are readily implemented with any existing HVAC system and do not require installation of sensors or other mechanical or electrical components to the HVAC system.
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公开(公告)号:US20170245785A1
公开(公告)日:2017-08-31
申请号:US15511310
申请日:2015-09-15
Applicant: 3M INNOVATIVE PROPERTIES COMPANY
Inventor: Eric C. LOBNER , James W. HOWARD , Jennifer F. SCHUMACHER , Brian J. STANKIEWICZ , Billy L. WEAVER
CPC classification number: A61B5/1123 , A61B5/0002 , A61B5/11 , A61B5/1112 , A61B5/16 , A61B5/4023 , A61B5/4088 , A61B5/6803 , A61B5/6805 , A61B5/6828 , A61B5/6829 , A61B5/7246 , A61B5/7275 , A61B5/7282 , A61B5/746 , A61B2503/20 , A61B2562/0219 , G08B5/004 , G08B21/02 , G16H50/20
Abstract: A method for monitoring impairment indicators, the method includes measuring, with a movement sensor attached to the person, a first signal related to movement of a person during a first time window and electronically storing the at least one numerical descriptor derived from the first signal as reference data for the person. The method further includes measuring, with the movement sensor attached to the person, a second signal related to movement of the person during a second time window and comparing at least one numerical descriptor derived from the second signal to the reference data as a factor to identify an impairment indicator. The present disclosure also includes a device for monitoring impairment indicators.
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