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    SYSTEM AND METHOD FOR TRACKING MOTION OF TARGET IN INDOOR ENVIRONMENT
    1.
    发明申请
    SYSTEM AND METHOD FOR TRACKING MOTION OF TARGET IN INDOOR ENVIRONMENT 审中-公开

    公开(公告)号：US20200284895A1

    公开(公告)日：2020-09-10

    申请号：US16775592

    申请日：2020-01-29

    Applicant: Tata Consultancy Services Limited

    Inventor： Rajat Kumar DAS ,  Arijit CHOWDHURY ,  Tapas CHAKRAVARTY ,  Arpan PAL

    IPC: G01S13/66 ,  G01S13/89 ,  G01S13/58 ,  G01S13/32 ,  G01S7/35

    Abstract: This disclosure relates generally to tracking motion of target in indoor environment. The method includes estimating an initial position of the target in a mesh grid form based on radar data captured from radar devices installed in the indoor environment. For a subsequent target movement, a subsequent position of the target is estimated in the mesh grid form based on the initial position and a resultant velocity vector of the target. A number of outlier grid-points is computed with a threshold number, and based on comparison the outlier grid-points are either replaced with interpolated grid-points or the subsequent position of the target is repaired based on a probable position of the target obtained from at least one of a linear regression based analysis of prior positions of the target, prior knowledge of the target velocity and sampling interval, and a trilateration based technique.

    SYSTEM AND METHOD FOR MEASURING TEMPERATURE OF MIXED FLUID IN AN ENCLOSED CHAMBER
    4.
    发明申请
    SYSTEM AND METHOD FOR MEASURING TEMPERATURE OF MIXED FLUID IN AN ENCLOSED CHAMBER 有权

    公开(公告)号：US20210215521A1

    公开(公告)日：2021-07-15

    申请号：US17112414

    申请日：2020-12-04

    Applicant: Tata Consultancy Services Limited

    Inventor： Arijit SINHARAY ,  Rajat Kumar DAS ,  Anwesha KHASNOBISH ,  Tapas CHAKRAVARTY

    IPC: G01F1/86 ,  G01F1/66

    Abstract: This disclosure relates to a system and method for measuring average temperature of mixed fluid in an enclosed chamber. Measurement is based on two independent principle as measuring variation in acoustic wave velocity and variation in resistivity that works on a single setup. First principle is based on measuring acoustic wave velocity in a known medium, which is isolated from the surrounding. The system comprises a primary pipe and a secondary pipe, wherein the ends of the pipes reside inside the enclosed chamber. The primary pipe is made out of good conductor of heat and filled with air. Ends of the primary pipe is fitted with a transducers have one transmitter at one end and one receiver at another end. Average temperature of the mixed fluid is measured based on the variations in sound velocity of acoustic wave passed through the primary pipe and resistivity variations of the primary pipe.

    ARTIFICIAL INTELLIGENCE BASED TEMPERATURE MEASUREMENT IN MIXED FLUID CHAMBER
    5.
    发明申请
    ARTIFICIAL INTELLIGENCE BASED TEMPERATURE MEASUREMENT IN MIXED FLUID CHAMBER 有权

    公开(公告)号：US20210012863A1

    公开(公告)日：2021-01-14

    申请号：US16923877

    申请日：2020-07-08

    Applicant: Tata Consultancy Services Limited

    Inventor： Rajat Kumar DAS ,  Arijit SINHARAY ,  Arijit CHOWDHURY ,  Tapas CHAKRAVARTY ,  Arpan PAL

    IPC: G16C60/00 ,  G01K7/02 ,  G01K1/02 ,  G01K11/24

    Abstract: Temperature measurement is an important part of many potential applications in process industry. Conventional temperature measurement methods require manual intervention for process monitoring and fail to provide accurate and precise measurement of temperature of an enclosed mixed fluid chamber. The present disclosure provides artificial intelligence based temperature measurement in mixed fluid chamber. A plurality of inputs pertaining to the mixed fluid chamber are received to build a fluid based model. The fluid based model is used to generate one or more fluid parameters. The one or more fluid parameters are used along with a ground truth temperature data and the received plurality of inputs for training an artificial intelligence (AI) based model. However, the AI based model is trained with and without knowledge of fluid flow. The trained AI based model is further used to accurately estimate temperature of the mixed fluid chamber for a plurality of test input data.

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