Systems and methods for dynamic boiler control are disclosed. The system can receive flue gas data from a flue gas sensor and can receive blower data associated with a blower of the boiler. The system can determine, based at least in part on the blower data, a current fire status of the boiler and can provide one or more fire-status-specific parameters based on the current fire status of the boiler. The system can compare the flue gas data to a target flue gas value, and in response to determining that the flue gas data is less than the target flue gas value, the system can execute one or more boiler operation rules using the one or more fire-status-specific parameters. The system can output instructions for adjustment of an air-fuel ratio of the boiler based on the boiler operation rules and the one or more fire-status-specific parameters.

In some aspects, a computer-implemented method of reducing a rate of fouling in a recovery boiler system is provided. A computing device receives boiler operating information for a period of time. The boiler operating information includes boiler operating parameters and a rate of fouling for the period of time. The boiler operating parameters include one or more boiler input parameters. The computing device performs a regression analysis to determine at least one correlation between the boiler operating parameters and the rate of fouling. The computing device causes at least one boiler input parameter to be adjusted based on the at least one correlation to minimize the rate of fouling. In some aspects, a system configured to perform such a method is provided. In some aspects, a computer-readable medium having instructions stored thereon that cause a computing device to perform such a method is provided.

In some aspects, a computer-implemented method of reducing a rate of fouling in a recovery boiler system is provided. A computing device receives boiler operating information for a period of time. The boiler operating information includes boiler operating parameters and a rate of fouling for the period of time. The boiler operating parameters include one or more boiler input parameters. The computing device performs a regression analysis to determine at least one correlation between the boiler operating parameters and the rate of fouling. The computing device causes at least one boiler input parameter to be adjusted based on the at least one correlation to minimize the rate of fouling. In some aspects, a system configured to perform such a method is provided. In some aspects, a computer-readable medium having instructions stored thereon that cause a computing device to perform such a method is provided.

Disclosed are a test loop for simulating a steam generator with or without an axial economizer and a test method thereof. The loop includes a cooling water loop, a water supply loop, a recirculated water loop and a power supply. The cooling water loop is used for condensing and cooling wet steam and providing the wet steam to the water supply loop and the recirculated water loop. The water supply loop is used for providing cold-state water supply for a test device, the recirculated water loop is used for reheating cooled water to be saturated and providing the water to the test device. The power supply is used for supplying power to heating equipment and an electric heater in the test device. The present disclosure provides a test method of the loop. Simulation tests can be carried out on a steam generator with or without an axial economizer.

The disclosed technology includes a controller configured to control an output of one or more boilers to reduce temperature overshoot of the boiler system. The controller can receive temperature data, a threshold temperature value, and a maximum temperature value, and determine whether the temperature of the water in the boiler system is greater than or equal to a threshold temperature. The controller can also determine a number of operating boilers that were operating when the threshold temperature was reached and determine a temperature increment value based on the threshold temperature, the maximum temperature, and the number of operating boilers. The controller can output a control signal to a boiler to reduce an output of the boiler based on the temperature increment value and the temperature data to reduce overshoot of the boiler system.

The disclosed technology includes a controller configured to control an output of one or more boilers to reduce temperature overshoot of the boiler system. The controller can receive temperature data, a threshold temperature value, and a maximum temperature value, and determine whether the temperature of the water in the boiler system is greater than or equal to a threshold temperature. The controller can also determine a number of operating boilers that were operating when the threshold temperature was reached and determine a temperature increment value based on the threshold temperature, the maximum temperature, and the number of operating boilers. The controller can output a control signal to a boiler to reduce an output of the boiler based on the temperature increment value and the temperature data to reduce overshoot of the boiler system.

The disclosed technology includes a controller configured to control an output of one or more boilers to reduce temperature overshoot of the boiler system. The controller can receive temperature data, a threshold temperature value, and a maximum temperature value, and determine whether the temperature of the water in the boiler system is greater than or equal to a threshold temperature. The controller can also determine a number of operating boilers that were operating when the threshold temperature was reached and determine a temperature increment value based on the threshold temperature, the maximum temperature, and the number of operating boilers. The controller can output a control signal to a boiler to reduce an output of the boiler based on the temperature increment value and the temperature data to reduce overshoot of the boiler system.

The disclosed technology includes a controller configured to control an output of one or more boilers to reduce temperature overshoot of the boiler system. The controller can receive temperature data, a threshold temperature value, and a maximum temperature value, and determine whether the temperature of the water in the boiler system is greater than or equal to a threshold temperature. The controller can also determine a number of operating boilers that were operating when the threshold temperature was reached and determine a temperature increment value based on the threshold temperature, the maximum temperature, and the number of operating boilers. The controller can output a control signal to a boiler to reduce an output of the boiler based on the temperature increment value and the temperature data to reduce overshoot of the boiler system.

The present disclosure provides a method and intelligent system for recognizing and forewarning a fault of an industrial boiler. The method for recognizing and forewarning the fault of the industrial boiler includes: acquiring preset boiler monitoring parameter combinations; acquiring a segmentation time span corresponding to each of the boiler monitoring parameter combinations; acquiring a variation graph of all the boiler monitoring parameters in each of the boiler monitoring parameter combinations, and segmenting and fragmenting the variation graph of all the boiler monitoring parameters in a time sequence according to the segmentation time span to obtain fragmented images; using the fragmented images of all the boiler monitoring parameters within the same time period in each of the boiler monitoring parameter combinations as a fragmented image combination to obtain a plurality of fragmented image combinations.

The present disclosure provides a method and intelligent system for recognizing and forewarning a fault of an industrial boiler. The method for recognizing and forewarning the fault of the industrial boiler includes: acquiring preset boiler monitoring parameter combinations; acquiring a segmentation time span corresponding to each of the boiler monitoring parameter combinations; acquiring a variation graph of all the boiler monitoring parameters in each of the boiler monitoring parameter combinations, and segmenting and fragmenting the variation graph of all the boiler monitoring parameters in a time sequence according to the segmentation time span to obtain fragmented images; using the fragmented images of all the boiler monitoring parameters within the same time period in each of the boiler monitoring parameter combinations as a fragmented image combination to obtain a plurality of fragmented image combinations.