A method of determining a local temperature anomaly in a fluidized bed combustion boiler system that includes at least three temperature sensors together defining a measurement grid, each sensor representing a measurement point, includes monitoring current operation data of the boiler, including measured bed temperature and at least primary air flow, fuel moisture, main steam flow, flue gas oxygen, and bed pressure, preparing a numerical model among operation data, such as primary air flow, fuel moisture, main steam flow, flue gas oxygen, and bed pressure. The measured bed temperatures measurement points are prepared and calibrated. Bed temperatures for the measurement points are monitored using the numerical model. This obtains computed bed temperatures under normal operation conditions, and the measured bed temperatures are compared with the computed bed temperatures for at least some of the measurement points. If an anomaly threshold is exceeded, determining that a local temperature anomaly is present.

A flame detection device that uses a breakthrough voltage across a pair of electrodes located in a flame zone to detect the presence of a flame. The flame detection device may be used with a burner that is part of a furnace in a central heating system for a home or building. Unlike conventional flame detection devices that measure ionization current in a flame, the flame detection device detects a flame by determining the voltage required for a spark event across a spark gap located in a flame zone (also referred to as the breakthrough voltage), and evaluating the breakthrough voltage and/or its various characteristics to detect the presence or absence of a flame. According to one example, the flame detection device includes a power supply, an ignition unit, output wires, insulators, and electrodes.

Various embodiments of the present technology relate to emission monitoring. Some embodiments comprise an exhaust testing system to characterize exhaust gas composition. The exhaust testing system comprises a sampling system and a gas analyzer. The sampling system is coupled to an exhaust stack of a combustion system. The sampling system comprises a cage, sampling pipes, and valves. The cage is mounted to the opening of the exhaust stack. The sampling pipes are mounted to the cage. The sampling pipes capture exhaust gas generated by the combustion system and emitted through the opening of the exhaust stack. The valves control gas flow through the sampling pipes. The gas analyzer is coupled to the sampling pipes. The gas analyzer determines gas composition of the exhaust gas.

A burner system includes an artificial intelligence executed on a processing element, a burner control system including: a burner, an oxidizer subsystem, and a fuel subsystem. The artificial intelligence is operative to control the burner control system.

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 method includes obtaining gas management data from a dynamic sensor array disposed within a gas processing plant, the gas processing plant including a gas flaring system. The method further includes obtaining a set of gas management parameters, and determining, with a machine learning model, a predicted emission of the gas flaring system based on the gas management data. The method further includes determining, based on the predicted emission, an emission reduction strategy and adjusting, with a gas processing controller and a gas flaring controller, the set of gas management parameters to execute the emission reduction strategy. Executing the emission reduction strategy includes directing a portion of feed gas from the gas processing plant to the gas flaring system according to the adjusted set of gas management parameters and flaring, using the gas flaring system, the portion of the feed gas according to the adjusted set of gas management parameters.

Various embodiments include a combustion apparatus comprising: a control facility for open- and/or closed-loop control of the apparatus; a combustion chamber; an actuator adjusting an air supply; and a combustion sensor in a region of a flame of the chamber. The control facility stores a list of support points. A first air supply value is assigned to each support point. A drift test value and an index for ascertainment of a test result are assigned to each support point. The controller: generates a specified air supply; selects a support point as a function of the air supply; and decides on a test result using the index for the support point. To ascertain a test result: receives a signal from the combustion sensor; determines a new test result; ascertains a changed drift test value for the selected support point; and stores the changed drift test value as the drift test value.

An electronic control device includes: a flow rate calculation unit that calculates a flow rate of intake air based on an output signal of a flow rate measurement device assembled to an intake pipe; a flow rate correction value calculation unit that calculates an average value, a maximum value, and a minimum value of the flow rate of the intake air, calculated by the flow rate calculation unit, during a predetermined period, and an amplitude of a signal with one or more frequencies equal to or higher than a fundamental frequency of the output signal of the flow rate measurement device and included in the output signal of the flow rate measurement device, and calculates a correction value for the flow rate of the intake air based on calculation results; and a flow rate correction unit that corrects the flow rate of the intake air based on the correction value.