US 12,282,900 B2
Method and system for determining computer fan usage and maintenance
Parminder Singh Sethi, Punjab (IN)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Jan. 22, 2021, as Appl. No. 17/155,223.
Prior Publication US 2022/0237570 A1, Jul. 28, 2022
Int. Cl. G07C 3/12 (2006.01); G05B 19/042 (2006.01); G06N 20/00 (2019.01); G06Q 10/20 (2023.01); G06Q 30/012 (2023.01); G07C 3/06 (2006.01); H04Q 9/00 (2006.01); H05K 7/20 (2006.01); G06F 1/20 (2006.01)
CPC G06Q 10/20 (2013.01) [G05B 19/042 (2013.01); G06N 20/00 (2019.01); G06Q 30/012 (2013.01); G07C 3/06 (2013.01); G07C 3/12 (2013.01); H04Q 9/00 (2013.01); H05K 7/20209 (2013.01); G05B 2219/49216 (2013.01); G06F 1/20 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implementable method for determining computer system fan usage and maintenance comprising:
determining by a machine learning/artificial intelligence (ML/AI) platform an architectural layout of the computer system;
dividing by the ML/AI platform, the architectural layout into machine readable virtual sections as to multiple and distinct sections that include operational boundaries of cooling fans;
reading and applying algorithms of the ML/AI platform to each virtual section to predict work load of the cooling fans, by summing the load of each cooling fan represented in a respective virtual section based on a period of time;
using the loads to adjust speed of cooling fans and proactively address temperature changes;
collecting loads of the virtual section used for replacing and adjusting fans based on historical and predicted loads;
calculating by the ML/AI platform based on a threshold value applied to the algorithms, periods of operational load over the period of time; and
adjusting the speed of the cooling fans based on the periods of operational load.