A system for estimating both thickness and wear state of refractory material (1) of a metallurgical furnace (12), including at least on processor including a database of simulated frequency domain data named simulated spectra representing simulated shock waves reflected in simulated refractory materials of known state and thickness, each simulated spectrum being correlated with both known state and thickness data of the considered simulated refractory material, wherein the at least one processor is configured to record a reflected shock wave as a time domain signal, and to convert it into frequency domain data named experimental spectrum, and are further configured to compare the experimental spectrum with at least a plurality of simulated spectra from the database, to determine the best fitting simulated spectrum with the experimental spectrum and to estimate thickness and state of the refractory material (1) of the furnace (12) using known state and thickness data correlated with the best fitting simulated spectrum.

A production facilities monitoring method monitors an operation status of a plurality of production facilities of a same kind located at a plurality of production sites and includes: a data information preparation step of aggregating operational data of each of the production facilities for each of the production sites; a data accumulation step of accumulating the operational data aggregated at the data information preparation step into a computer located at a data accumulation site; a data analysis step of analyzing a current operation status at each of the production facilities, using current operational data and past operational data accumulated at the data accumulation step; and an operation status determination step of determining whether operation is abnormal at each of the production facilities, based on an analysis result of the data analysis step.

An operation method for production facilities operates production facilities of a same kind located at production sites, and includes: a data information preparation step of aggregating operational data of each of the production facilities for each of the production sites; a data accumulation step of accumulating the operational data aggregated at the data information preparation step into a computer located at a data accumulation site; a data analysis step of analyzing an operation status of each of the production facilities, using the operational data accumulated at the data accumulation step; a data display step of displaying information on analyzed the operation status of each of the production facilities on a display unit located at each of the production sites; and a facility operation step of referring to the displayed information and operating a production facility located at a second production site from a first production site.

A method for operating a blast furnace with which, even in the case where there is an increase in the powder ratio of coke to be charged into the blast furnace, it is possible to achieve the stabilization of blast furnace operation. The method includes blowing air through a tuyere disposed in a lower part of the blast furnace, successively measuring a particle size distribution of coke transported to the blast furnace, and adjusting at least one of a blast volume and a coke ratio in accordance with an index derived from the particle size distribution.

Disclosed is a blast furnace apparatus includes: a rotating chute; a plurality of tuyeres; a profile measurement device configured to measure surface profiles of a burden charged into the blast furnace through the rotating chute; and a blowing amount controller configured to control a blowing amount of at least one of hot blast or pulverized coal in each of the plurality of tuyeres, in which the profile measurement device includes: a radio wave distance meter installed on the blast furnace top and configured to measure the distance to the surface of the burden charged; and an arithmetic unit configured to derive the surface profiles of the burden on a basis of distance data for the entire blast furnace related to distances to the surface of the burden obtained by scanning a detection wave of the radio wave distance meter in the blast furnace in a circumferential direction.

Disclosed is a method for estimating a blast furnace throat temperature based on a multilayer ore-to-coke ratio distribution model. According to the method, blast furnace equipment parameters and a burden distribution matrix are utilized, the burden layer profile of each layer is calculated according to the burden distribution movement process, a burden layer distribution model is established in combination with the descending process, and the ore-to-coke ratio of each burden layer is obtained. According to the method, the ore-to-coke ratio distribution of multiple layers and main parameters of a blast furnace are used as input, a generalized regression neural network is used for estimating the temperature at the corresponding measurement position of throat temperature, so as to realize the monitoring of throat temperature in the blast furnace process.

A method for detecting a fluctuation of a solidified layer, and a method for operating a blast furnace by employing the relevant method. In the method for detecting a fluctuation of a solidified layer, the fluctuation of the solidified layer in the lower part of a blast furnace is detected by using the amount of heat supplied to pig iron in the lower part of the blast furnace and the amount of heat in the pig iron tapped in a predetermined period.

An optimal calculation method of an energy operating condition in an iron mill includes calculating, using a total energy operation cost of the iron mill within a predetermined period of time from a current time as an evaluation function, an operation condition of an energy facility in the iron mill as a decision variable such that a value of the evaluation function decreases, at each predetermined time within the predetermined period of time, based on actual values and estimated values of a generation amount and a used amount of energy utility for each of factories comprised in the iron mill. The method includes a step of calculating the decision variable by imposing an equality constraint such that the decision variable related to a power generation facility included in the energy facility is constant within a predetermined aggregation time.

A method for predicting burning through point (BTP) based on an encoder-decoder network is provided, which belongs to a field of soft-sensing modeling in an industrial process. A BTP prediction model based on the encoder-decoder network with a temporal attention mechanism and a spatial attention mechanism is developed according to data acquired during an operation of a sintering machine, where the temporal attention mechanism is used to characterize temporal dynamics of samples, and the spatial attention mechanism is used to capture a correlation between an object variable and an advanced feature, to improve accuracy and robustness of the model. With the model, BTP in a sintering process can be predicted in real time, which has great practical significance for on-site process guidance and parameter adjustment.

Provided is a blast-furnace operating method including: a first step of adjusting a charging rate of coke while monitoring a furnace-top temperature T.sub.top; a second step of adjusting an injection rate of pulverized coal while monitoring an in-furnace superficial gas velocity u and the furnace-top temperature T.sub.top; a third step of adjusting an oxygen-enrichment ratio of oxygen-enriched air while monitoring a tuyere combustion temperature T.sub.f and the furnace-top temperature T.sub.top; and a fourth step of determining whether an injection rate of the oxygen-enriched air needs to be adjusted, based on a value of the in-furnace superficial gas velocity u.