US 11,808,468 B2
Continuous learning compressor input power predictor
Paul R. Buda, Raleigh, NC (US)
Assigned to Schneider Electric USA, Inc., Boston, MA (US)
Filed by Schneider Electric USA, Inc., Andover, MA (US)
Filed on Aug. 31, 2021, as Appl. No. 17/463,476.
Prior Publication US 2023/0077210 A1, Mar. 9, 2023
Int. Cl. F24F 11/49 (2018.01); F24F 11/38 (2018.01)
CPC F24F 11/49 (2018.01) [F24F 11/38 (2018.01)] 40 Claims
OG exemplary drawing
 
1. A monitoring and early problem detection system for a heating, ventilating, and air conditioning and refrigeration (HVAC&R) system, comprising:
a hardware-based data acquisition processor operable to acquire observations about the HVAC&R system, the observations including fluid temperature measurements for a condenser and fluid temperature measurements for an evaporator, the observations further including compressor input power parameter measurements corresponding to the fluid temperature measurements;
a hardware-based compressor input power parameter processor operable to learn a relation between the fluid temperature measurements and the compressor input power parameter measurements, the compressor input power parameter processor configured to compute a predicted value for a compressor input power parameter using the relation; and
a hardware-based degradation detection processor operable to determine whether performance degradation has occurred in the HVAC&R system based on comparing the predicted value for the compressor input power parameter against an acquired compressor input power parameter measurement;
wherein the compressor input power parameter processor stores the compressor input power parameter measurements acquired by the data acquisition processor via a two-dimensional temperature map containing a plurality of cells, and wherein for each cell, the compressor input power parameter processor stores the compressor input power parameter measurements corresponding to that cell as summary statistics; and
wherein the compressor input power parameter processor indexes each cell in the two-dimensional temperature map using the fluid temperature measurement for the condenser and the fluid temperature measurement for the evaporator corresponding to that cell.