US 11,842,800 B2
Artificial intelligence based temperature measurement in mixed fluid chamber
Rajat Kumar Das, Kolkata (IN); Arijit Sinharay, Kolkata (IN); Arijit Chowdhury, Kolkata (IN); Tapas Chakravarty, Kolkata (IN); and Arpan Pal, Kolkata (IN)
Assigned to TATA CONSULTANCY SERVICES LIMITED, Mumbai (IN)
Filed by Tata Consultancy Services Limited, Mumbai (IN)
Filed on Jul. 8, 2020, as Appl. No. 16/923,877.
Claims priority of application No. 201921027506 (IN), filed on Jul. 9, 2019.
Prior Publication US 2021/0012863 A1, Jan. 14, 2021
Int. Cl. G16C 60/00 (2019.01); G01K 1/02 (2021.01); G01K 7/02 (2021.01); G01K 11/24 (2006.01)
CPC G16C 60/00 (2019.02) [G01K 1/026 (2013.01); G01K 7/02 (2013.01); G01K 11/24 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A processor implemented method, comprising:
receiving, a plurality of input data pertaining to a mixed fluid chamber, wherein the plurality of input data includes (i) sound velocity information determined using an acoustic pyrometer based technique, (ii) location information of one or more chemical sensors deployed in the mixed fluid chamber, (iii) concentration of one or more fluids determined using the one or more chemical sensors and (iv) dimension of the mixed fluid chamber;
determining, one or more fluid parameters using one of (i) a bernoulli principle based fluid model or (ii) a state space based fluid model;
determining, an information pertaining to a plurality of thermocouples comprised in the mixed fluid chamber, wherein the information includes corresponding location coordinates of the plurality of thermocouples and temperature measured at the corresponding location coordinates of the plurality of thermocouples;
generating, ground truth temperature data for the mixed fluid chamber using a gradient based heat diffusion model based on the information pertaining to each of the plurality of thermocouples;
training an artificial intelligence (AI) based model using the one or more fluid parameters, the generated ground truth temperature data, and the sound velocity information; and
estimating, for a plurality of test input data, temperature of the mixed fluid chamber using the trained AI based model.