Patent ID: 11927944
Assignee: HONEYWELL INTERNATIONAL INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 14:
15. A system for monitoring and controlling flare operations of an industrial plant using a machine deep learning-based self-adaptive configurable subsystem comprising:
a) an analytics system comprising a processor comprising:
an optical flow subsystem;
a data augmentation subsystem;
the machine deep learning based self-adaptive configurable subsystem;

b) a camera hub comprising at least one camera and a processor configured to:
receive a sequence of real time images of the flare operation from the at least one camera and obtain data from a network of the industrial plant as to at least one flare parameter,
apply, an optical flow algorithm on the sequence of real time images to separate the background information from useful information to generate motion information, and
transmit the real time images and the motion information to the analytics system; and

c) a display configured to receiving the images from the analytics system and display the images generated by the machine deep learning based self-adaptive configurable subsystem wherein pixels of the images are categorized and displayed as smoke, steam, or flame, and
wherein the analytics system is configured to generate a semantic segmentation map at a pixel level that categorizes segmented image frames indicating the smoke, flame, and steam based on the motion information of the pixels between frames of the sequence of real time images of the flare operation.