SYSTEM AND METHOD FOR MEASURING TEMPERATURE OF MIXED FLUID IN AN ENCLOSED CHAMBER

    公开(公告)号:US20210215521A1

    公开(公告)日:2021-07-15

    申请号:US17112414

    申请日:2020-12-04

    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

    公开(公告)号:US20210012863A1

    公开(公告)日:2021-01-14

    申请号:US16923877

    申请日:2020-07-08

    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.

    RADAR AND ULTRASOUND SENSOR BASED REAL TIME TRACKING OF A MOVING OBJECT

    公开(公告)号:US20190277961A1

    公开(公告)日:2019-09-12

    申请号:US16254190

    申请日:2019-01-22

    Abstract: The present disclosure provides means for detecting and tracking a moving object using RADAR and ultrasonic sensors. A stationary RADAR detects the moving object and estimates speed and two rotating ultrasonic sensors determine distance of the detected object. An incrementally changing orientation of the ultrasound sensors is associated with an angular speed of rotation based on a last logged distance of the moving object from the ultrasound sensors. Once the moving object is detected, based on an adaptively changing sampling frequency, the moving object is continuously tracked in real time. Conventionally, multiple RADARs are needed for location estimation and motion tracking. Also, merely using a RADAR in combination with an ultrasound sensor also does not serve the purpose since both sensors are static. The present disclosure provides a simple cost effective alternative that can find application in say tracking of an elderly person living alone in an unobtrusive manner.

    SYSTEM AND METHOD FOR REDUCING SIZE OF RAW DATA BY PERFORMING TIME-FREQUENCY DATA ANALYSIS
    16.
    发明申请
    SYSTEM AND METHOD FOR REDUCING SIZE OF RAW DATA BY PERFORMING TIME-FREQUENCY DATA ANALYSIS 审中-公开
    通过执行时频数据分析来减少原始数据大小的系统和方法

    公开(公告)号:US20160259849A1

    公开(公告)日:2016-09-08

    申请号:US15061929

    申请日:2016-03-04

    CPC classification number: G06F17/18 G06F17/14 H03M7/3068

    Abstract: Disclosed is a method and system for reducing data size of raw data. The system may process the raw data for calculating Renyi entropies, Wigner Ville Distributions (WVD's), Wigner Ville Spectrum (WVS) and Renyi divergence. The system may identify a first set of windows followed by a second set of windows while processing the raw data. Further, the system may calculate Eigen values for a Time-Frequency matrix of WVS of the second set of windows. The system may filter the second set of windows based on the Eigen values for preparing a third set of windows. The system prepares clusters of the Eigen values. The system may compute centroids of the clusters of the Eigen values. The system classifies each window of the third set of windows into one of the clusters indicating a relevant category of event identified from the raw data.

    Abstract translation: 公开了一种减少原始数据的数据大小的方法和系统。 该系统可以处理用于计算仁义熵,Wigner Ville分布(WVD),Wigner Ville Spectrum(WVS)和Renyi分歧的原始数据。 该系统可以在处理原始数据时识别第一组窗口,随后是第二组窗口。 此外,系统可以计算第二组窗口的WVS的时频矩阵的特征值。 系统可以基于用于准备第三组窗口的特征值来过滤第二组窗口。 系统准备了特征值集群。 系统可以计算特征值的聚类的质心。 该系统将第三组窗口的每个窗口分类成一个簇,指示从原始数据识别的事件的相关类别。

    METHOD AND SYSTEM FOR SURFACE WEAR INSPECTION USING MILLIMETER WAVE RADAR

    公开(公告)号:US20240118413A1

    公开(公告)日:2024-04-11

    申请号:US18374809

    申请日:2023-09-29

    CPC classification number: G01S13/9023 G01S7/417 G01S13/9011

    Abstract: The present disclosure provides a method for surface wear inspection using millimeter wave radar. The system initially receives a plurality of uncompressed raw Synthetic Aperture Radar (SAR) images. Further, a plurality of reconstructed SAR images are generated based on the plurality of uncompressed raw SAR images using a variable focusing based Range Doppler Algorithm (RDA). Further, a master image and a slave image are selected from the reconstructed SAR images and corresponding anchor points are assigned. Further a plurality of fine level and coarse level shift coordinates are computed based on the corresponding anchor points. Further, a net shift value is computed based on the plurality of fine level and coarse level shift coordinates. The master and the slave images are aligned based on the net shift value and the interferogram is generated. The interferogram is further analyzed to profile the corresponding deformation pertaining to the surface under test.

    METHOD AND SYSTEM FOR ZONE-WISE ADAPTIVE ILLUMINATION OF OBJECTS

    公开(公告)号:US20230171505A1

    公开(公告)日:2023-06-01

    申请号:US18054832

    申请日:2022-11-11

    CPC classification number: H04N5/2354 H04N5/2351

    Abstract: Lighting conditions affect quality of images being captured. In traditional systems, illuminators (light sources) are used to illuminate the objects without considering illumination levels at different zones/sides of an object being photographed. As a result, all illuminators may run at maximum capacity, resulting in wastage of power and compromising efficiency of the system. The disclosure herein generally relates to illumination of objects, and, more particularly, to a method and system for adaptive illumination of objects. The system determines illumination at different zones of the object, and further identifies zones that are not illuminated properly in comparison with a threshold of illumination. Further the system controls intensity of only the illuminators which are responsible for illumination of the zones in which measured illumination is below a threshold of illumination, and increases the intensity by a value determined based on difference between measured illumination and the threshold of illumination, for each zone.

Patent Agency Ranking