The present disclosure relates to a flame transfer function measurement system for prediction and reduction of combustion instability.

Systems and methods presented herein generally relate to determining flaring efficiency of a flare based at least in part on radiant or thermal heat generated by the flare that is detected by one or more flare monitors. In particular, in certain embodiments, a control system may be used to determine a flaring efficiency of the combustion of the flare gas at the tip of the flare based at least in part on the radiant or thermal heat detected by the one or more flare monitors.

The invention relates to a computing device and method for estimating (100) a combustion efficiency value during flaring, over a time period, said method comprising the following steps: Acquiring (140) a video stream of the flare flame (61) over the time period; Segmenting (150) the video stream in several video segments, each video segments being associated with a video segment duration; Analyzing (160) the video segments, using a correlation model, so as to classify each video segments in at least one flame state category; andComputing (170) the combustion efficiency value, said computing (170) step using the video segment durations and a plurality of unburned reduction index values, each of said unburned reduction index values being specific to one of the flame state categories, specific to the industrial plant and calculated using computational fluid dynamics.

The present invention presents a method of assessing the quality of the burning of the gases in the flare and adjusting the vapor flow rate in a continuous way and with flexibility to integrate with different instrumentation topologies of the flare control system. The state of the flare flame is identified from an image set of the flame, classifying it into one of four: flame with excess vapor, optimized flame, flame with soot or images with insufficient information to classify them as one of the previous states of the flare flame. In addition, it is further able to quantify the height of the flame. The invention comprises the following components: flare, camera, image stream manager, edge computer, data historian, alert manager, information visualization panels, distributed digital control system, DDCS, and cloud storage and computing.

Systems, apparatuses, methods, and computer program products for determining flaring efficiency based on captured image data and operations data are provided herein. For example, a computer-implemented method for determining flaring efficiency may include receiving operations data representing operations of a plant. The computer-implemented method may include generating a simulation model of the plant based at least in part on the operations data. The computer-implemented method may include applying the simulation model of the plant to determine a first flaring efficiency estimate. The computer-implemented method may include receiving captured image data of a flare flame associated with the plant. The computer-implemented method may include analyzing the captured image data to determine a second flaring efficiency estimate. The computer-implemented method may include generating a flaring efficiency estimate based on at least one of the first flaring efficiency estimate and the second flaring efficiency estimate.

A flame analytics system that may incorporate a burner, one or more sensors at the burner, a historical database connected to the one or more sensors, a model training module connected to the historical database, and a runtime algorithm module connected to the one or more sensors and the model training module. The runtime algorithm may compare realtime data from the one or more sensors and historical data from the model training module in accordance with a machine learning algorithm. The system may further incorporate a fault detection module connected to the runtime algorithm module, a fault diagnostics module connected to the fault detection module, and an enunciator connected to the fault detection module. The one or more sensors may also include having video or acoustic sensitivity of combustion in the burner.

A device for monitoring a heap of material, comprises circuitry for executing a plurality of functions. A region of interest function, in a thermal video stream captured by a thermal video camera, defines a region of interest covering the heap of material. A reference spatial property setting function, from pixels within a video frame of the thermal video stream, determines a spatial property of the heap of material; and sets the determined spatial property as a reference spatial property. A region of interest adjusting function determines a respective sample spatial property for regions in the thermal video stream; and adjusts the region of interest such that regions exhibiting a sample spatial property above a threshold are included by the region of interest. A temperature monitoring function over time and within the region of interest, monitors a temperature measure; and if it exceeds a predetermined threshold, generates an alarm event.

Automated systems and methods are provided for continuous monitoring of the flaring of waste gas at an industrial facility, which employ an RGB camera operably coupled to a gateway device by a data communication interface. The RGB camera is configured to capture time-series color image frames of a flare and communicate the time-series color image frames to the gateway device. The gateway device includes an image processing module and a flare optimization module executing on the gateway device. The image processing module is configured to process the time-series color image frames to determine at least one flare parameter that provides a qualitative measurement of the combustion efficiency of the flare over time. The flare optimization module is configured to adjust relative amount of waste gas to at least one assist gas for the flare based on the at least one flare parameter to continuously optimize the combustion efficiency of the flare.