Disclosed is a blast furnace apparatus includes: a rotating chute; a profile measurement device configured to measure surface profiles of a burden charged into the furnace; and a tilt angle controller configured to control a tilt angle of the chute, in which the device includes a radio wave distance meter installed on the furnace top and configured to measure the distance to the surface of the burden, derives the profiles on a basis of distance data for the entire furnace obtained by scanning a detection wave of the distance meter in the furnace in a circumferential direction, and includes at least one of arithmetic units configured to command during rotation, on a basis of the surface profiles obtained, the controller to change the tilt angle of the chute, or a controller to change a rotational speed of the chute or a feed speed of the burden fed to the chute.

Embodiments of the present disclosure disclose a method, apparatus and electronic device for constructing a reinforcement learning model, and a computer readable storage medium, relate to the field of big data and deep learning technology. An implementation of the method can include: establishing a first simulation model between a calciner coal feed amount and a calciner temperature; establishing a second simulation model among a kiln head coal feed amount, a kiln current, a secondary air temperature, and a smoke chamber temperature; establishing a prediction model among: an under-grate pressure; the calciner temperature output by the first simulation model; the kiln current, the secondary air temperature, and the smoke chamber temperature content output by the second simulation model; and a free calcium; and constructing a reinforcement learning model according to a preset reinforcement learning model architecture, using the first simulation model, the second simulation model, and the prediction model.

A system for generating a user-adjustable furnace profile, comprises a user interface configured to receive one or more materials properties from a user, a processor, and a memory with computer code instructions stored thereon. The memory is operatively coupled to the processor such that, when executed by the processor, the computer code instructions cause the system to implement communicating with a furnace to ascertain one or more thermal processes associated with the furnace, identifying one or more object characteristics associated with an object to be processed by furnace, and determining a thermal processing parameter profile of at least one thermal processing parameter corresponding to each of the thermal processes, based on (i) the one or more part characteristics and (ii) the one or more materials properties, the thermal processing parameter profile characterizing a cycle of the one or more thermal processes.

The controller receives information including a plurality of evaluation indexes, a weight of each evaluation index, the number of times for calculating a value of an evaluation function, and initial parameter values, and performs a simulation based on the received information. Then, the controller calculates a value of an evaluation function based on a result of the simulation, and determines whether the calculated value of the evaluation function is minimum, to update parameters when it is determined that the value of the evaluation function is minimum. In the calculation of a value of the evaluation function, a value of the evaluation function is calculated again based on the number of times for calculating a value of an evaluation function. The controller generates new parameters by a genetic algorithm when a value of an evaluation function is calculated again.

Disclosed is a blast furnace apparatus includes: a rotating chute; a profile measurement device configured to measure surface profiles of a burden charged into the furnace; and a tilt angle controller configured to control a tilt angle of the chute, in which the device includes a radio wave distance meter installed on the furnace top and configured to measure the distance to the surface of the burden, derives the profiles on a basis of distance data for the entire furnace obtained by scanning a detection wave of the distance meter in the furnace in a circumferential direction, and includes at least one of arithmetic units configured to command during rotation, on a basis of the surface profiles obtained, the controller to change the tilt angle of the chute, or a controller to change a rotational speed of the chute or a feed speed of the burden fed to the chute.

A maintenance management device that integrates point values for each element that exerts thermal stress on a high-temperature furnace, with an operation time of the high-temperature furnace as an integration period, in which the point values are obtained by converting actual values of a thermal stress of each of elements into a reference thermal stress. A point value obtained by converting a limit value of the thermal stress with which the high-temperature furnace can normally operate into the reference thermal stress is set as a lifetime thermal stress, the point value integrated with the operation time of the high-temperature furnace as the integration period is set as an accumulated thermal stress, and a remaining lifetime of the high-temperature furnace equipment is predicted from the result of subtracting the accumulated thermal stress from the lifetime thermal stress.

A Vacuum Arc Remelting controller apparatus wherein process control is accomplished primarily through control of pool power. Pool power being defined as the total energy flux into a top ingot surface of the VAR ingot. The controller apparatus of the present invention comprises a controller computer that transmits commands to the host furnace through an ethernet connection.

A system for generating a user-adjustable furnace profile, comprises a user interface configured to receive one or more materials properties from a user, a processor, and a memory with computer code instructions stored thereon. The memory is operatively coupled to the processor such that, when executed by the processor, the computer code instructions cause the system to implement communicating with a furnace to ascertain one or more thermal processes associated with the furnace, identifying one or more object characteristics associated with an object to be processed by furnace, and determining a thermal processing parameter profile of at least one thermal processing parameter corresponding to each of the thermal processes, based on (i) the one or more part characteristics and (ii) the one or more materials properties, the thermal processing parameter profile characterizing a cycle of the one or more thermal processes.

Estimating the time of reaching steady-state uniform load temperature of a load in a heat treatment process in the absence of a load temperature sensor. In an embodiment, a system utilizes signals and parameters available on a temperature controller to estimate the period of time required for a load to reach a steady-state temperature in a heat treatment process. When the estimate of the temperature of the load reaches the steady-state condition, the system advances the heat treatment process from a load heating phase to another phase.

A system for generating a user-adjustable furnace profile, comprises a user interface configured to receive one or more materials properties from a user, a processor, and a memory with computer code instructions stored thereon. The memory is operatively coupled to the processor such that, when executed by the processor, the computer code instructions cause the system to implement communicating with a furnace to ascertain one or more thermal processes associated with the furnace, identifying one or more object characteristics associated with an object to be processed by furnace, and determining a thermal processing parameter profile of at least one thermal processing parameter corresponding to each of the thermal processes, based on (i) the one or more part characteristics and (ii) the one or more materials properties, the thermal processing parameter profile characterizing a cycle of the one or more thermal processes.