Sensors and associated methods for controlling a vacuum cleaner

Brushing – scrubbing – and general cleaning – Machines – With air blast or suction

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C015S377000, C015S383000, C015S340100, C015S340300

Reexamination Certificate

active

10665709

ABSTRACT:
Several methods of controlling a vacuum cleaner (10) using various types of sensors (94, 96, 97, 98) are provided. One method is based on a differential pressure between a suction airflow path and ambient air and includes: detecting the differential pressure, comparing the detected differential pressure to a predetermined threshold, and, when the detected differential pressure is less than the predetermined threshold, initiating a predetermined control procedure. A status indicator (164) is updated based on the detected differential pressure. Another method is based on a level of electrical current flowing through a brush motor (100). Still another method is based on a type or condition of the floor being traversed. Yet another method is based on a distance to a surface of a floor over which the vacuum cleaner is advancing. In another aspect of the invention, a vacuum cleaner is provided. In various combinations, the vacuum cleaner includes a vacuum source (36, 38), a brush motor (100), a drive motor (104), a controller processor (74), a sensor processor (90), an overcurrent sensor (98), a suction airflow sensor (94), a floor type sensor (97), and a floor distance sensor (96).

REFERENCES:
patent: 4245370 (1981-01-01), Baker
patent: 4294595 (1981-10-01), Bowerman
patent: 4558215 (1985-12-01), Kaneko et al.
patent: 4654924 (1987-04-01), Getz et al.
patent: 4733431 (1988-03-01), Martin
patent: 5109566 (1992-05-01), Kobayashi et al.
patent: 5279672 (1994-01-01), Betker et al.
patent: 5321614 (1994-06-01), Ashworth
patent: 5341540 (1994-08-01), Soupert et al.
patent: 5377106 (1994-12-01), Drunk et al.
patent: 5542146 (1996-08-01), Hoekstra et al.
patent: 5613261 (1997-03-01), Kawakami et al.
patent: 5634237 (1997-06-01), Paranjpe
patent: 5722109 (1998-03-01), Delmas et al.
patent: 5778486 (1998-07-01), Kim
patent: 5940927 (1999-08-01), Haegermarck et al.
patent: 6026539 (2000-02-01), Mouw et al.
patent: 6076227 (2000-06-01), Schallig et al.
patent: 6105202 (2000-08-01), Grasso et al.
patent: 6351872 (2002-03-01), McCormick
patent: 6467123 (2002-10-01), Di Nunzio et al.
patent: 6493612 (2002-12-01), Bisset et al.
patent: 6571415 (2003-06-01), Gerber et al.
patent: 6571422 (2003-06-01), Gordon et al.
patent: 6590222 (2003-07-01), Bisset et al.
patent: 6594844 (2003-07-01), Jones
patent: 6671592 (2003-12-01), Bisset et al.
patent: 6832407 (2004-12-01), Salem et al.
patent: 6836930 (2005-01-01), Thur et al.
patent: 2002/0189045 (2002-12-01), Mori et al.
patent: 1149332 (2003-08-01), None
patent: WO 00/38027 (2000-06-01), None
patent: WO 2005/077240 (2005-08-01), None
Home Appliances, Vacuum Cleaners, SG2039/D,REV 0, Apr. 2003, Motorola, Inc. (6 pages).
The New York Times, www.nytimes.com, “It Mulches, Too? Robotic Mowers Gain in Appeal” by John R. Quain, Jul. 31, 2003 (3 pages).
H.R. Everett, Sensors for Mobile Robots, Theory and Application, Naval Command, Control and Ocean Surveillance Center, San Diego, California, A.K. Peters, Ltd. 1995, pp. 15-17 and 93-101.
Joseph L. Jones et al., Mobile Robots , Inspiration to Implementation, Second Edition, A.K. Peters, Ltd. 1999, pp. 120-134.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Sensors and associated methods for controlling a vacuum cleaner does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Sensors and associated methods for controlling a vacuum cleaner, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Sensors and associated methods for controlling a vacuum cleaner will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3775471

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.