Blast furnace coal injection quantity adjusting method, device, equipment and medium

Abstract

The invention discloses a blast furnace coal injection quantity adjusting method. The method comprises the steps that the target carbon ratio of the current furnace condition is calculated; according to the target carbon ratio, the average coke carbon ratio and the average coke nut carbon ratio, the reference coal injection quantity of the current furnace condition is calculated; calculating a coal injection quantity deviation value beta PCI according to the reference coal injection quantity and the current set coal injection quantity; calculating a first coal injection compensation amount PCI1 according to the current molten iron silicon content; calculating a second coal injection compensation amount PCI2 according to the actual iron yield and the theoretical iron yield of the previous smelting period; according to the first coal injection compensation amount PCI1 and the second coal injection compensation amount PCI2, the total coal injection amount PCI is obtained; according to the coal injection amount deviation value beta PCI and the coal injection amount total compensation amount PCI, the current coal injection amount adjustment amount is obtained; and according to the coal injection amount adjustment amount and the current coal injection set amount, the optimal coal injection amount of the current furnace condition is obtained. The method effectively solves the problems of hysteresis and blindness of manual adjustment, and has the advantages of improving the adjustment precision of the coal injection quantity of the blast furnace, enhancing the furnace temperature control stability and reducing the dependence of manual intervention.

Description

Technical Field

[0001] The present application relates to the technical field of blast furnace production, and in particular to a method, device, equipment and medium for regulating the amount of coal injected into a blast furnace. Background Art

[0002] Pulverized coal injection in blast furnaces not only reduces pig iron costs but also reduces energy consumption and carbon dioxide emissions, helping to mitigate environmental pollution from the coking process. Furthermore, because pulverized coal injected into the furnace through the tuyere has a more immediate effect on furnace temperature than coke charged from the top, it is often used as the primary means of regulating furnace temperature. The combination of pulverized coal injection and high-temperature, highly oxygen-enriched blast air is a logical choice for advancements in modern steelmaking technology.

[0003] Currently, the adjustment of the coal injection amount in blast furnaces still adopts a manual mode, that is, the operator increases or decreases the coal injection amount according to the blast furnace conditions and ironmaking knowledge and experience. However, due to the complexity, lag and state variability of the blast furnace smelting process, there are problems such as blindness, ambiguity and deviation in the timing and amount of operation, which makes it difficult to maintain the furnace temperature within a reasonable range, thereby causing fluctuations in the furnace conditions. The fluctuations in the furnace conditions further increase the difficulty of regulating the furnace temperature, thus forming a vicious circle. Summary of the Invention

[0004] In view of the above-mentioned shortcomings of the prior art, the present application provides a method, device, equipment and medium for adjusting the coal injection amount of a blast furnace, which are used to solve at least one defect in the prior art.

[0005] To achieve the above and other purposes, the present application provides a method for adjusting the amount of coal injection in a blast furnace, the method comprising:

[0006] Obtain furnace heat impact parameters;

[0007] Calculate the target carbon ratio of the current furnace condition based on the furnace heat impact parameters;

[0008] Calculate the baseline pulverized coal injection rate for the current furnace condition based on the target carbon ratio, the average coke-carbon ratio in the soft melting zone, the average coke-butadiene-carbon ratio in the soft melting zone, and the quality data of the injected coal;

[0009] Calculate the coal injection amount deviation βPCI according to the reference coal injection amount of the current furnace condition and the current set coal injection amount;

[0010] Based on the first relationship, a first coal injection compensation amount ΔPCI1 required to compensate for the furnace temperature deviating from the normal range is calculated according to the current silicon content of the molten iron; the first relationship represents the correlation between the silicon content of the molten iron and the coal injection compensation amount;

[0011] The second coal injection compensation amount △PCI2 is calculated based on the carbon ratio deviation caused by the deviation between the actual iron production and the theoretical iron production in the previous smelting cycle;

[0012] According to the first coal injection compensation amount ΔPCI1 and the second coal injection compensation amount ΔPCI2, a total coal injection amount compensation amount ΔPCI is obtained;

[0013] Based on the second relationship, the current coal injection amount adjustment amount is obtained according to the coal injection amount deviation amount βPCI and the coal injection amount total compensation amount ΔPCI; the second relationship represents the correlation between the coal injection amount deviation amount, the coal injection amount total compensation amount and the coal injection amount adjustment amount;

[0014] According to the coal injection amount adjustment amount and the current coal injection setting amount, the optimal coal injection amount for the current furnace condition is obtained.

[0015] In one embodiment of the present application, the furnace heat impact parameters include: gas utilization rate η, soft water heat load Q and comprehensive grade Φ; calculating the target carbon ratio of the current furnace condition based on the furnace heat impact parameters includes:

[0016] Based on the average carbon ratio CR in the past N days 平均 The first carbon ratio is obtained by weighted summing the difference between the average heat-affected parameter of the furnace in the past N days and the weighted heat-affected parameter of the previous smelting cycle, and the average heat-affected parameter includes the average gas utilization rate η 平均 , average soft water heat load Q 平均 , average comprehensive grade Φ 平均 The weighted furnace heat impact parameters of the previous smelting cycle include the weighted gas utilization rate η of the previous smelting cycle 加权 , weighted soft water heat load Q 加权 , weighted comprehensive grade Φ 加权 .

[0017] In one embodiment of the present application, the PCI quality data includes: the carbon content of the PCI and the water content of the PCI; the base PCI amount for the current furnace condition is calculated based on the target carbon ratio, the average coke-carbon ratio in the soft melting zone, the average coke-butadiene-carbon ratio in the soft melting zone, and the PCI quality data; and the PCI amount deviation βPCI is calculated based on the base PCI amount for the current furnace condition and the current set PCI amount, including:

[0018] Calculate the target coal-to-carbon ratio for the current hour based on the target carbon ratio, the average coke-to-carbon ratio of the soft melting zone region, and the average coke-to-carbon ratio of the soft melting zone region;

[0019] According to the target coal-to-carbon ratio PCR of the current hour 目标 The current total oxygen flow into the furnace, the oxygen consumption per ton of iron, the carbon content of the injected coal, and the water content of the injected coal are used to obtain the current furnace condition benchmark coal injection amount PCI 基准 .

[0020] In one embodiment of the present application, the coal injection amount deviation βPCI is calculated according to the reference coal injection amount of the current furnace condition and the current set coal injection amount, including:

[0021] According to the current set coal injection amount and the current furnace condition's benchmark coal injection amount PCI 基准 The difference is used to calculate the coal injection amount deviation βPCI.

[0022] In one embodiment of the present application, the calculation of the second coal injection compensation amount ΔPCI2 based on the actual iron production and theoretical iron production of the previous smelting cycle includes:

[0023] According to the actual iron production in the i-th hour of the previous smelting cycle Theoretical iron yield Target coal-to-carbon ratio The second coal injection compensation amount ΔPCI2 is calculated based on the carbon content of the injected coal and the water content of the injected coal.

[0024] In one embodiment of the present application, the total coal injection compensation amount ΔPCI is obtained according to the first coal injection compensation amount ΔPCI1 and the second coal injection compensation amount ΔPCI2, including:

[0025] The first coal injection compensation amount ΔPCI1 and the second coal injection compensation amount ΔPCI2 are summed to obtain a total coal injection amount compensation amount ΔPCI.

[0026] In one embodiment of the present application, obtaining the optimal coal injection amount for the current furnace condition based on the coal injection amount adjustment amount and the current coal injection setting amount includes:

[0027] The coal injection amount adjustment amount is summed with the current coal injection setting amount to obtain the optimal coal injection amount for the current furnace condition.

[0028] To achieve the above and other purposes, the present application provides a blast furnace coal injection amount adjustment device, the blast furnace coal injection amount adjustment device comprising:

[0029] Data acquisition module, used to obtain furnace heat impact parameters;

[0030] Target carbon ratio calculation module, used to calculate the target carbon ratio of the current furnace condition based on the furnace heat impact parameters;

[0031] The base coal injection amount calculation module is used to calculate the base coal injection amount of the current furnace condition based on the target carbon ratio, the average carbon-carbon ratio of the soft melting zone area, the average coke-butadiene-carbon ratio of the soft melting zone area and the quality data of the injected coal;

[0032] A coal injection amount deviation calculation module is used to calculate the coal injection amount deviation βPCI according to the reference coal injection amount of the current furnace condition and the current set coal injection amount;

[0033] A first coal injection compensation amount calculation module is configured to calculate a first coal injection compensation amount ΔPCI1 required to compensate for a deviation of the furnace temperature from a normal range based on a first relationship and the current silicon content of the molten iron; the first relationship represents a correlation between the silicon content of the molten iron and the coal injection compensation amount;

[0034] A second coal injection compensation amount calculation module is used to calculate the second coal injection compensation amount △PCI2 according to the carbon ratio deviation caused by the deviation between the actual iron production and the theoretical iron production in the previous smelting cycle;

[0035] A total coal injection amount compensation amount calculation module is used to obtain the total coal injection amount compensation amount ΔPCI according to the first coal injection compensation amount ΔPCI1 and the second coal injection compensation amount ΔPCI2;

[0036] a coal injection amount adjustment amount calculation module, configured to obtain a current coal injection amount adjustment amount based on a second relationship, the coal injection amount deviation amount βPCI and the coal injection amount total compensation amount ΔPCI; wherein the second relationship represents a correlation between the coal injection amount deviation amount, the coal injection amount total compensation amount, and the coal injection amount adjustment amount;

[0037] The optimal coal injection amount calculation module is used to obtain the optimal coal injection amount for the current furnace condition based on the coal injection amount adjustment amount and the current coal injection setting amount.

[0038] To achieve the above-mentioned and other related purposes, the present application provides a device, comprising:

[0039] one or more processors; and

[0040] The memory is configured to store one or more programs, and when the one or more programs are executed by the one or more processors, the memory implements the method described above.

[0041] To achieve the above objectives and other related objectives, the present application provides one or more machine-readable media having instructions stored thereon, which, when executed by one or more processors, enable the processors to perform the described method.

[0042] Beneficial effects of this application:

[0043] The present application provides a method for adjusting the coal injection amount of a blast furnace, comprising: obtaining furnace heat influence parameters; calculating a target carbon ratio of the current furnace condition according to the furnace heat influence parameters; calculating a baseline coal injection amount of the current furnace condition according to the target carbon ratio, an average coke carbon ratio in a soft melting zone area, an average coke butadiene carbon ratio in a soft melting zone area, and quality data of injected coal; calculating a coal injection amount deviation βPCI according to the baseline coal injection amount of the current furnace condition and a currently set coal injection amount; calculating a first coal injection compensation amount △PCI1 required to compensate for a deviation of the furnace temperature from a normal range according to the current silicon content of molten iron based on a first relationship; the first relationship represents a correlation between the silicon content of molten iron and the coal injection compensation amount The invention relates to a method for calculating the carbon ratio deviation caused by the deviation between the actual iron production and the theoretical iron production in the previous smelting cycle, and calculating the second coal injection compensation amount △PCI2; obtaining the total coal injection amount compensation △PCI according to the first coal injection compensation amount △PCI1 and the second coal injection compensation amount △PCI2; obtaining the current coal injection amount adjustment amount according to the coal injection amount deviation βPCI and the coal injection amount total compensation amount △PCI based on the second relationship; the second relationship represents the correlation between the coal injection amount deviation amount, the coal injection amount total compensation amount and the coal injection amount adjustment amount; obtaining the optimal coal injection amount for the current furnace condition according to the coal injection amount adjustment amount and the current coal injection setting amount. The present application effectively solves the problems of hysteresis and blindness of manual adjustment by calculating the target carbon ratio, the benchmark coal injection amount and the coal injection compensation amount, and adjusting the coal injection amount based on multiple factors, and has the advantages of improving the adjustment accuracy of the coal injection amount of the blast furnace, enhancing the stability of the furnace temperature control and reducing the dependence on manual intervention.

[0044] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings are incorporated into and constitute a part of the specification, illustrating embodiments consistent with the present application and, together with the specification, serving to explain the principles of the present application. It is obvious that the drawings described below are merely some embodiments of the present application, and a person of ordinary skill in the art can derive other drawings based on these drawings without inventive effort. In the drawings:

[0046] Figure 1 This is a flow chart of a method for adjusting coal injection rate in a blast furnace according to an embodiment of the present application;

[0047] Figure 2 This is a flow chart of a method for calculating a base coal injection rate for a current furnace condition according to an embodiment of the present application;

[0048] Figure 3 This is a functional block diagram of a blast furnace coal injection amount regulating device according to an embodiment of the present application;

[0049] Figure 4A schematic diagram of the structure of a computer system suitable for implementing the memory of an embodiment of the present application is shown. DETAILED DESCRIPTION

[0050] The following describes the embodiments of the present application through specific examples. Those skilled in the art can easily understand the other advantages and effects of the present application from the content disclosed in this specification. The present application can also be implemented or applied through other different specific embodiments. The details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments can be combined with each other unless they conflict.

[0051] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present application. Therefore, the illustrations only show components related to the present application and are not drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component can be changed at will, and the component layout type may also be more complicated.

[0052] Although the terms "first," "second," "A," and "B," etc. may be used herein to describe various elements, these elements should not be limited by these terms and are merely used to distinguish one element from another. For example, a first element may be referred to as a second element, and similarly, a second element may be referred to as a first element without departing from the scope of the technology described below. The term "and / or" includes a combination of a plurality of related items or any of the plurality of related items.

[0053] As used herein, unless the context indicates otherwise, the singular form is intended to include the plural form, and it will be understood that the term "comprising" means the presence of stated features, quantities, steps, operations, elements, or combinations thereof, but does not preclude the presence or addition of one or more other features, quantities, steps, operations, elements, components, or combinations thereof.

[0054] Before describing the components in detail, it is intended to clarify that the components in this specification are divided only by the primary function of each component. That is, two or more components described below may be combined into one component, or may be divided into two or more components based on more detailed functions. In addition to the primary function of the component, each component described below may also perform some or all of the functions of other components, and some of the primary functions of each component may be exclusively performed by other components.

[0055] The embodiments of the present application respectively propose an intelligent user price increase amount recommendation method, an intelligent user price increase amount recommendation device, an intelligent user price increase amount recommendation equipment, and a computer-readable storage medium. These embodiments will be described in detail below.

[0056] See also Figure 1 , Figure 1 This is a flow chart of a method for adjusting coal injection amount in a blast furnace according to an embodiment of the present application.

[0057] See Figure 1 As shown, the method for adjusting the blast furnace coal injection amount includes at least steps S110 to S190:

[0058] Step S110, obtaining furnace heat impact parameters;

[0059] Step S120, calculating the target carbon ratio of the current furnace condition according to the furnace heat impact parameter;

[0060] Step S130, calculating a reference pulverized coal injection amount for the current furnace condition based on the target carbon ratio, the average coke-carbon ratio in the soft melting zone, the average coke-butadiene-carbon ratio in the soft melting zone, and the quality data of the injected coal;

[0061] Step S140, calculating a PP injection amount deviation βPCI according to the reference PP injection amount of the current furnace condition and the currently set PP injection amount;

[0062] Step S150, based on a first relationship, calculating a first pulverized coal injection compensation amount ΔPCI1 required to compensate for the furnace temperature deviating from a normal range according to the current silicon content of the molten iron; the first relationship represents a correlation between the silicon content of the molten iron and the pulverized coal injection compensation amount;

[0063] Step S160, calculating a second coal injection compensation amount ΔPCI2 according to a carbon ratio deviation caused by a deviation between the actual iron production and the theoretical iron production in the previous smelting cycle;

[0064] Step S170, obtaining a total coal injection compensation amount ΔPCI according to the first coal injection compensation amount ΔPCI1 and the second coal injection compensation amount ΔPCI2;

[0065] Step S180, based on a second relationship, according to the coal injection amount deviation βPCI and the coal injection amount total compensation ΔPCI, obtaining a current coal injection amount adjustment amount; the second relationship represents a correlation between the coal injection amount deviation, the coal injection amount total compensation amount, and the coal injection amount adjustment amount;

[0066] Step S190: obtaining the optimal coal injection amount for the current furnace condition according to the coal injection amount adjustment amount and the current coal injection setting amount.

[0067] This application effectively solves the problems of lag and blindness in manual adjustment by calculating the target carbon ratio, baseline coal injection amount and coal injection compensation amount, and adjusting the coal injection amount based on multiple factors. It has the advantages of improving the adjustment accuracy of blast furnace coal injection amount, enhancing furnace temperature control stability and reducing dependence on manual intervention.

[0068] The above steps S110 to S190 are described in detail below.

[0069] In step S110, the furnace heat impact parameters are obtained;

[0070] The furnace thermal impact parameter (TFIP) is a core indicator reflecting the thermal state of the blast furnace and is used to dynamically characterize the thermal equilibrium state within the furnace. The TFIP is selected based on the ease of obtaining field data and its importance to the furnace's thermal state.

[0071] Since there are many parameters and variables that affect blast furnace heat, such as raw material composition, permeability, air temperature, moisture content, hearth residual iron production, gas utilization rate, heat load, and top temperature, the top gas CO utilization rate η, soft water heat load Q, and comprehensive grade Φ are selected as parameters affecting furnace heat based on the difficulty of data acquisition and their importance to furnace heat. These parameters are calculated in real time using the following formula:

[0072]

[0073] Where η is the gas utilization rate, %; CO is the CO content in the top gas, %; CO2 is the CO2 content in the top gas, %; Q is the soft water heat load, Gj / h; M is the soft water flow, m 3 / t;C 水 is the specific heat capacity of water, 4.2×10 3 j / (kg·℃); △t is the temperature difference between the inlet and outlet of soft water, ℃; Φ is the comprehensive grade, %; ω i and TFe i is the proportion of the i-th iron-containing material and the total iron content, %.

[0074] In step S120, the target carbon ratio of the current furnace condition is calculated based on the furnace heat impact parameter;

[0075] The carbon ratio CR refers to the amount of carbon consumed per ton of iron, kg / t; its calculation formula is as follows:

[0076] CR=BCR+PCR+SCR

[0077] Among them, BCR is the coke carbon ratio, kg / t; PCR is the injected coal carbon ratio, kg / t; SCR is the butane carbon ratio, kg / t.

[0078]

[0079]

[0080]

[0081] BC 碳 is the fixed carbon content of coke, PCI 碳is the fixed carbon content of PCI coal, SC 碳 is the fixed carbon content of coke, BC 水 is the moisture content of coke, PCI 水 is the moisture content of PCI coal, SC 水 is the moisture content of the chopped coke.

[0082] The relationship between furnace heat-affected parameters, molten iron silicon and carbon ratio, that is, the effect of changes in various parameters and molten iron silicon on carbon ratio, can be calculated using the following formula:

[0083] ΔCR=Δη·α η +ΔQ·α Q +ΔΦ·α Φ +Δ[Si]·α [Si]

[0084] Among them, Δη is the change in gas utilization rate, ΔQ is the change in heat load, ΔΦ is the change in comprehensive grade, Δ[Si] is the change in silicon content in molten iron, α η is the coefficient corresponding to the change in gas utilization rate, α Q is the coefficient corresponding to the change in heat load, α Φ is the coefficient corresponding to the change in comprehensive grade, α [Si] is the coefficient corresponding to the change in silicon content in molten iron.

[0085] In one embodiment, the furnace heat impact parameters include: gas utilization rate η, soft water heat load Q and comprehensive grade Φ; and calculating the target carbon ratio of the current furnace condition based on the furnace heat impact parameters includes:

[0086] Based on the average carbon ratio CR in the past N days 平均 The first carbon ratio is obtained by weighted summing the difference between the average heat-affected parameter of the furnace in the past N days and the weighted heat-affected parameter of the previous smelting cycle, and the average heat-affected parameter includes the average gas utilization rate η 平均 , average soft water heat load Q 平均 , average comprehensive grade Φ 平均 The weighted furnace heat impact parameters of the previous smelting cycle include the weighted gas utilization rate η of the previous smelting cycle 加权 , weighted soft water heat load Q 加权 , weighted comprehensive grade Φ 加权 .

[0087] CR 目标 =CR 平均 +(η 平均 -η 加权 )·α η +(Q 平均 -Q 加权 )·αQ +(Φ 平均 -Φ 加权 )·α Φ

[0088] Among them, CR 目标 is the target carbon ratio, CR 平均 is the average carbon ratio in the past N days, η 平均 is the average gas utilization rate in the past N days, Q 平均 is the average heat load in the past N days, Φ 平均 is the average comprehensive grade in the past N days, η 加权 is the weighted gas utilization rate of the last smelting cycle, Q 加权 is the weighted heat load of a recent smelting cycle, Φ 加权 It is the weighted comprehensive grade of the past smelting cycle.

[0089] η 加权 =(η1α1+η2α2+…+η n α n )

[0090] Q 加权 =(Q1α1+Q2α2+…+Q n α n )

[0091] Φ 加权 =(Φ1α1+Φ2α2+…+Φ n α n )

[0092] Among them, η1, η2,…, η n is the gas utilization rate from 1 to n hours in the past smelting cycle, Q1, Q2, ..., Q n is the heat load from 1 to n hours in the past smelting cycle, Φ1, Φ2, ..., Φ n is the comprehensive grade from 1 to n hours in the past smelting cycle, α1, α2,…, α n The weights are the past 1 hour, 2 hours to n hours respectively, and the smelting cycle is 5 hours.

[0093] In step S130, the reference coal injection amount for the current furnace condition is calculated based on the target carbon ratio, the average coke carbon ratio in the soft melting zone, the average coke butyl carbon ratio in the soft melting zone, and the quality data of the injected coal;

[0094] In one embodiment, the quality data of the injected coal includes: the carbon content of the injected coal, the water content of the injected coal; Figure 2 As shown in the figure, the benchmark coal injection amount for the current furnace condition is calculated based on the target carbon ratio, the average coke carbon ratio in the soft melting zone, the average coke butadiene carbon ratio in the soft melting zone, the carbon content of the injected coal, and the water content of the injected coal, including:

[0095] Step S210, calculating the target coal-to-carbon ratio of the current hour based on the target carbon ratio, the average coke-to-carbon ratio, and the average coke-to-carbon ratio;

[0096] Average coke ratio (BCR) in the soft melting zone 软熔带 and average coke-butadiene carbon ratio SCR 软熔带 , refers to the average coke-to-carbon ratio and average coke-butadiene-to-carbon ratio in the soft melting zone area in the last hour;

[0097] The target coal-to-carbon ratio for the current hour is calculated as follows:

[0098] PCR 目标 =CR 目标 -BCR 软熔带 -SCR 软熔带

[0099] Step S220 , calculating a coal injection amount deviation βPCI according to the reference coal injection amount of the current furnace condition and the currently set coal injection amount.

[0100] According to the target coal-to-carbon ratio PCR of the current hour 目标 The current total oxygen flow into the furnace, the oxygen consumption per ton of iron, the carbon content of the injected coal, and the water content of the injected coal are used to obtain the current furnace condition benchmark coal injection amount PCI 基准 .

[0101]

[0102] Among them, O2 is the total oxygen flow rate into the furnace at present, m 3 / h;ω O2 is the oxygen consumption per ton of iron, m 3 The total oxygen flow rate into the furnace currently includes the oxygen content brought in by cold air, the oxygen content brought in by oxygen-enriched gas, and the oxygen content brought in by coal-carrying gas injection.

[0103] In step S140, a coal injection amount deviation βPCI is calculated according to the reference coal injection amount of the current furnace condition and the currently set coal injection amount;

[0104] According to the current set coal injection amount and the current furnace condition's benchmark coal injection amount PCI 基准 The difference between the two is used to calculate the coal injection amount deviation βPCI, and the coal injection amount deviation calculation formula is as follows:

[0105] BPCI=PCI 设定 -PCI 基准

[0106] In step S150, based on the first relationship, the first coal injection compensation amount ΔPCI1 required to compensate for the furnace temperature deviating from the normal range is calculated according to the current silicon content of the molten iron; the first relationship represents the correlation between the silicon content of the molten iron and the coal injection compensation amount;

[0107] Combined with the latest molten iron silicon, the coal injection amount △PCI1 that needs to be compensated due to the furnace temperature deviating from the normal range is calculated based on the first relationship (expert experience rule table); specifically, the molten iron silicon content is brought into the expert experience rule table to query and obtain the first coal injection compensation amount △PCI1.

[0108] The silicon content in the molten iron is used to represent the temperature of the blast furnace. The expert experience rules for furnace temperature compensation are shown in Table 1:

[0109] Table 1

[0110] Reference range of molten iron silicon Coal injection amount compensation △PCI1 Furnace temperature level <![CDATA[Si1≤[Si]≤Si2]]> <![CDATA[(Si2-[Si]) / δ1+(Si3-Si2) / δ2]]> Very low furnace temperature <![CDATA[Si2<[Si]≤Si3]]> <![CDATA[(Si3-[Si]) / δ3]]> Furnace temperature is too low <![CDATA[Si3<[Si]≤Si4]]> 0 Normal furnace temperature <![CDATA[Si4<[Si]≤Si5]]> <![CDATA[-([Si]-Si4) / δ4]]> Furnace temperature is too high <![CDATA[Si5<[Si]]]> <![CDATA[-([Si]-Si5) / δ5-(Si5-Si4) / δ6]]> The furnace temperature is very high

[0111] Among them, Si1, Si2, Si3, Si4, and Si5 represent interval thresholds, which are constants; δ1, δ2, δ3, δ4, δ5, and δ6 are constants.

[0112] It should be noted that the threshold values in the furnace temperature compensation expert experience rule table can be adjusted and updated periodically according to on-site conditions.

[0113] Step S160, calculating a second coal injection compensation amount ΔPCI2 according to a carbon ratio deviation caused by a deviation between the actual iron production and the theoretical iron production in the previous smelting cycle;

[0114] In one embodiment, the actual iron production in the previous smelting cycle at hour i is calculated based on the actual iron production in the previous smelting cycle at hour i. Theoretical iron yield Target coal-to-carbon ratio The second coal injection compensation amount △PCI2 is calculated based on the carbon content and water content of the injected coal.

[0115] Among them, the actual iron production OP in the past hour refers to the sum of the iron production of the batches of materials that passed through the soft melting zone area in the past hour; the theoretical iron production in the past hour refers to the oxygen content blown in by the tuyere (the oxygen content brought in by the tuyere blast includes the oxygen content brought in by cold air, the oxygen content brought in by oxygen-enriched air, and the oxygen content brought in by the injected coal carrier gas) calculated by the oxygen consumption per ton of iron. The calculation formula is as follows:

[0116]

[0117] The calculation formula for the coal injection amount △PCI2 that needs to be compensated for the carbon ratio deviation caused by the deviation between the actual iron production and the theoretical iron production in the recent smelting cycle is as follows:

[0118]

[0119] in, are the actual iron production, theoretical iron production and target coal-to-carbon ratio in the past i (i = 1, 2, 3, 4, 5) hours;

[0120] Step S170, obtaining a total coal injection amount compensation amount ΔPCI according to the first coal injection compensation amount ΔPCI1 and the second coal injection compensation amount ΔPCI2;

[0121] Specifically, the first coal injection compensation amount ΔPCI1 and the second coal injection compensation amount ΔPCI2 are summed to obtain a total coal injection amount compensation amount ΔPCI;

[0122] ΔPCI=ΔPCI1+ΔPCI2

[0123] Step S180, based on a second relationship, according to the coal injection amount deviation βPCI and the coal injection amount total compensation ΔPCI, obtaining a current coal injection amount adjustment amount; the second relationship represents a correlation between the coal injection amount deviation, the coal injection amount total compensation amount, and the coal injection amount adjustment amount;

[0124] According to the coal injection amount deviation βPCI and the total coal injection amount compensation △PCI, the current coal injection amount adjustment amount is obtained based on the second relationship (expert experience rule matrix); specifically, the coal injection amount deviation βPCI and the total coal injection amount compensation △PCI are brought into the expert experience rule table, and the current coal injection amount adjustment amount is obtained by query.

[0125] The expert experience rules for coal quantity adjustment are shown in Table 2:

[0126] Table 2

[0127]

[0128] Among them, △1, △2, △3, △3, -△5, -△6, -△7, -△8 represent interval thresholds, which are constants; β1, β2, β3, β4, β5, β6, β7 represent interval thresholds, which are constants; Α 11 -A 18 , Α 21 -A 28 , Α 31 -A 38 , Α 41 -A 48 , Α 51 -A 58 , Α 61 -A 68 , Α 71 -A 78 , Α 81 -A 88 , Α 91 -A 98 Indicates the adjustment amount;

[0129] It should be noted that the interval thresholds and adjustment amounts in the coal quantity adjustment expert experience rule table can be periodically adjusted and updated according to the actual situation on site of each blast furnace.

[0130] Step S190: obtaining the optimal coal injection amount for the current furnace condition according to the coal injection amount adjustment amount and the current coal injection setting amount.

[0131] Specifically, the coal injection amount adjustment amount is summed with the current coal injection setting amount to obtain the optimal coal injection amount for the current furnace condition.

[0132] Optimal coal injection amount = coal injection amount setting value + coal injection amount adjustment amount

[0133] After the calculation of the optimal coal injection amount is completed, the optimal coal injection amount is sent to the control system of L1 to achieve control of the coal injection amount.

[0134] In one embodiment, a 1980m 3 The historical data of blast furnaces were used to calculate the effects of soft water heat load, gas utilization rate and comprehensive grade on carbon ratio, respectively: Q =-0.129kg / (Gj / h), α η =3.87kg / (1%), α Φ =2.58kg / (1%). The relationship between the oxygen intake into the furnace and the theoretical iron production is the average oxygen consumption per ton of iron ω O2 267.9m 3 / t. The effect of silicon in hot metal on carbon ratio is α [Si] =3.01kg / (0.1%).

[0135] CR 目标 =411.63kg / t

[0136] The target coal-to-carbon ratio for the current hour is calculated as follows:

[0137] PCR 目标 =CR 目标 -BCR 软熔带 -SCR 软熔带 =128.01kg / t

[0138] The current benchmark coal injection amount PCI can be obtained based on the target coal-carbon ratio PCR target, oxygen flow rate, oxygen consumption per ton of iron, carbon content of injected coal, and water content of injected coal. 基准 ;

[0139] PCI 基准 =49.34t / h

[0140] The calculation formula of coal injection amount deviation is as follows:

[0141] βPCI=PCI 设定 -PCI 基准 =48.0-49.34=-1.34t

[0142] According to the first relationship, if the silicon content of the latest molten iron is 0.26%, which is in the range of Si3 to Si4, and the furnace temperature is normal, the first compensation coal injection amount △PCI1 = 0;

[0143] Actual iron production OP in the past hour 实际 Refers to the sum of the actual iron production of the batches that passed through the soft melting zone in the past hour; the actual iron production in the past smelting cycle was 282.65t, 281.62t, 292.10t, 284.3t, and 285.6t, respectively.

[0144] The theoretical iron production in the last smelting cycle is 277.44t, 275.68t, 277.44t, 283.31t and 281.82t respectively. The target coal-to-carbon ratio PCR in the last smelting cycle is 目标 They are 128.15kg / t, 127.82kg / t, 128.17kg / t, 129.34kg / t and 127.65kg / t respectively.

[0145] According to the calculation formula of the second coal injection compensation amount, substituting the data into the formula, we get △PCI2=1.53t / h;

[0146] By compensating the coal injection amount △PCI1 and △PCI2, the total coal injection amount compensation amount △PCI is obtained by summing them up;

[0147] ΔPCI=ΔPCI1+ΔPCI2=0+1.53=1.53t / h

[0148] Substitute the coal injection amount deviation βPCI = -1.40t / h (belonging to the interval (-β2, -β3)) and the coal injection amount total compensation △PCI = 1.53t / h (belonging to the interval [△2, △1)) into the second relationship, and the query results in the current coal injection amount adjustment amount A 23 If the coal injection rate is set to 48.0, then:

[0149] Optimal coal injection amount = coal injection amount setting value + coal injection amount adjustment amount = 48.0 + A 23 .

[0150] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0151] Figure 3 FIG. 1 is a block diagram of a blast furnace coal injection amount regulating device according to an embodiment of the present application. Figure 3As shown, a blast furnace coal injection amount regulating device includes:

[0152] The data acquisition module 310 is used to obtain the furnace heat impact parameters;

[0153] The target carbon ratio calculation module 320 is used to calculate the target carbon ratio of the current furnace condition according to the furnace heat impact parameters;

[0154] The reference pulverized coal injection amount calculation module 330 is used to calculate the reference pulverized coal injection amount of the current furnace condition based on the target carbon ratio, the average carbon-carbon ratio of the soft melting zone area, the average coke-butadiene-carbon ratio of the soft melting zone area, and the quality data of the injected coal;

[0155] A coal injection amount deviation calculation module 340 is configured to calculate a coal injection amount deviation βPCI based on the reference coal injection amount of the current furnace condition and the currently set coal injection amount;

[0156] A first PI compensation amount calculation module 350 is configured to calculate a first PI compensation amount ΔPCI1 required to compensate for a furnace temperature deviation from a normal range based on a first relationship and the current molten iron silicon content; the first relationship represents a correlation between the molten iron silicon content and the PI compensation amount;

[0157] A second pulverized coal injection compensation amount calculation module 360 is configured to calculate a second pulverized coal injection compensation amount ΔPCI2 based on a carbon ratio deviation caused by a deviation between the actual iron production and the theoretical iron production in a previous smelting cycle;

[0158] A total coal injection amount compensation amount calculation module 370 is configured to obtain a total coal injection amount compensation amount ΔPCI according to the first coal injection compensation amount ΔPCI1 and the second coal injection compensation amount ΔPCI2;

[0159] a coal injection amount adjustment calculation module 380 for obtaining a current coal injection amount adjustment amount based on a second relationship, the coal injection amount deviation βPCI, and the coal injection amount total compensation ΔPCI; wherein the second relationship represents a correlation between the coal injection amount deviation, the coal injection amount total compensation, and the coal injection amount adjustment amount;

[0160] The optimal coal injection amount calculation module 390 is used to obtain the optimal coal injection amount for the current furnace condition according to the coal injection amount adjustment amount and the current coal injection setting amount.

[0161] It should be noted that the blast furnace coal injection amount adjustment device provided in the above embodiment and the blast furnace coal injection amount adjustment method provided in the above embodiment belong to the same concept, wherein the specific manner in which each module and unit performs the operation has been described in detail in the method embodiment and will not be repeated here. In actual application, the blast furnace coal injection amount adjustment device provided in the above embodiment can allocate the above functions to different functional modules as needed, that is, divide the internal structure of the device into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0162] An embodiment of the present application also provides a device comprising: one or more processors; and a memory for storing one or more programs, wherein when the one or more programs are executed by one or more processors, the memory implements the blast furnace coal injection amount adjustment method in the above embodiment.

[0163] The embodiments of the present application further provide one or more machine-readable media having instructions stored thereon, which, when executed by one or more processors, enable the processors to execute the method for adjusting the blast furnace coal injection amount in the above-mentioned embodiment.

[0164] Figure 4 FIG1 shows a schematic diagram of a computer system structure suitable for implementing a memory according to an embodiment of the present invention. It should be noted that Figure 4 The computer system of the memory shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0165] like Figure 4 As shown, computer system 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to programs stored in read-only memory (ROM) 402 or programs loaded from a storage portion into random access memory (RAM) 403, such as executing the methods in the above embodiments. Various programs and data required for system operation are also stored in RAM. CPU 401, ROM 402, and RAM 403 are connected to each other via bus 404. Input / output (I / O) interface 405 is also connected to bus 404.

[0166] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, a mouse, and the like; an output section 407 including devices such as a cathode ray tube (CRT), a liquid crystal display (LCD), and a speaker; a storage section 408 including a hard disk and the like; and a communication section 409 including a network interface card such as a LAN (Local Area Network) card or a modem. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. Removable media 411, such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is installed in the drive 410 as needed, so that computer programs read therefrom can be installed into the storage section 408 as needed.

[0167] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for executing the aforementioned method for adjusting the blast furnace coal injection amount. In such an embodiment, the computer program can be downloaded and installed from a network via a communication portion and / or installed from removable media 411. When the computer program is executed by the central processing unit (CPU) 401, the various functions defined in the system of the present invention are performed.

[0168] It should be noted that the computer-readable medium shown in the embodiments of the present invention may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. The computer-readable storage medium may, for example, be an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM) 403, a read-only memory (ROM) 402, an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable computer program. Such a propagated data signal may take a variety of forms, including but not limited to an electromagnetic signal, an optical signal, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. A computer program embodied on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wired, or any suitable combination thereof.

[0169] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. Each box in the flowchart or block diagram can represent a module, program segment, or part of the code, and the above-mentioned module, program segment, or part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the boxes can also occur in an order different from that marked in the accompanying drawings. For example, two boxes shown in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or can be implemented using a combination of dedicated hardware and computer instructions.

[0170] The units involved in the embodiments of the present invention may be implemented in software or hardware, and the units described may also be provided in a processor. In some cases, the names of these units do not limit the units themselves.

[0171] Another aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon. When executed by a computer processor, the computer program causes the computer to perform the aforementioned method for adjusting the blast furnace coal injection rate. The computer-readable storage medium may be included in the memory described in the above embodiments, or may exist independently and not be incorporated into the memory.

[0172] Another aspect of the present invention provides a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the method for adjusting the blast furnace coal injection amount provided in each of the above embodiments.

[0173] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, any equivalent modifications or alterations accomplished by a person of ordinary skill in the art without departing from the spirit and technical concepts disclosed in this application shall be covered by the claims of this application.

Claims

1. A method for adjusting the amount of coal injection in a blast furnace, characterized in that: The method for adjusting the blast furnace coal injection amount comprises: Obtain furnace heat impact parameters; Calculate the target carbon ratio of the current furnace condition based on the furnace heat impact parameters; Calculate the baseline pulverized coal injection rate for the current furnace condition based on the target carbon ratio, the average coke-carbon ratio in the soft melting zone, the average coke-butadiene-carbon ratio in the soft melting zone, and the quality data of the injected coal; Calculate the coal injection amount deviation βPCI according to the reference coal injection amount of the current furnace condition and the current set coal injection amount; Based on the first relationship, a first coal injection compensation amount ΔPCI1 required to compensate for the furnace temperature deviating from the normal range is calculated according to the current silicon content of the molten iron; the first relationship represents the correlation between the silicon content of the molten iron and the coal injection compensation amount; The second coal injection compensation amount △PCI2 is calculated based on the carbon ratio deviation caused by the deviation between the actual iron production and the theoretical iron production in the previous smelting cycle; According to the first coal injection compensation amount ΔPCI1 and the second coal injection compensation amount ΔPCI2, a total coal injection amount compensation amount ΔPCI is obtained; Based on the second relationship, the current coal injection amount adjustment amount is obtained according to the coal injection amount deviation amount βPCI and the coal injection amount total compensation amount ΔPCI; the second relationship represents the correlation between the coal injection amount deviation amount, the coal injection amount total compensation amount and the coal injection amount adjustment amount; According to the coal injection amount adjustment amount and the current coal injection setting amount, the optimal coal injection amount for the current furnace condition is obtained.

2. The method for adjusting the coal injection amount of a blast furnace according to claim 1, wherein: The furnace heat impact parameters include: gas utilization rate η, soft water heat load Q and comprehensive grade Φ; the target carbon ratio of the current furnace condition is calculated based on the furnace heat impact parameters, including: Based on the average carbon ratio CR in the past N days 平均 The first carbon ratio is obtained by weighted summing the difference between the average heat-affected parameter of the furnace in the past N days and the weighted heat-affected parameter of the previous smelting cycle, and the average heat-affected parameter includes the average gas utilization rate η 平均 , average soft water heat load Q 平均 , average comprehensive grade Φ 平均 The weighted furnace heat impact parameters of the previous smelting cycle include the weighted gas utilization rate η of the previous smelting cycle 加权 , weighted soft water heat load Q 加权 , weighted comprehensive grade Φ 加权 .

3. The method for adjusting the coal injection amount of a blast furnace according to claim 1, wherein: The PCI quality data includes: the carbon content of the PCI and the water content of the PCI; the base PCI amount of the current furnace condition is calculated based on the target carbon ratio, the average coke-carbon ratio in the soft melting zone, the average coke-butadiene-carbon ratio in the soft melting zone, and the PCI quality data; including: Calculate the target coal-to-carbon ratio for the current hour based on the target carbon ratio, the average coke-to-carbon ratio of the soft melting zone area, and the average coke-to-carbon ratio of the soft melting zone area; The coal injection amount deviation βPCI is calculated based on the reference coal injection amount of the current furnace condition and the current set coal injection amount, including: 目标 The current total oxygen flow into the furnace, the oxygen consumption per ton of iron, the carbon content of the injected coal, and the water content of the injected coal are used to obtain the current furnace condition benchmark coal injection amount PCI 基准 .

4. The method for adjusting the coal injection amount of a blast furnace according to claim 3, wherein: Calculating the coal injection amount deviation βPCI according to the reference coal injection amount of the current furnace condition and the current set coal injection amount includes: According to the current set coal injection amount and the current furnace condition's benchmark coal injection amount PCI 基准 The difference is used to calculate the coal injection amount deviation βPCI.

5. The method for adjusting the coal injection amount of a blast furnace according to claim 1, wherein: The calculation of the second coal injection compensation amount ΔPCI2 based on the carbon ratio deviation caused by the deviation between the actual iron production and the theoretical iron production of the previous smelting cycle includes: According to the actual iron production in the i-th hour of the previous smelting cycle Theoretical iron yield Target coal-to-carbon ratio The second coal injection compensation amount ΔPCI2 is calculated based on the carbon content of the injected coal and the water content of the injected coal.

6. The method for adjusting the coal injection amount of a blast furnace according to claim 1, characterized in that: The total coal injection compensation amount ΔPCI is obtained according to the first coal injection compensation amount ΔPCI1 and the second coal injection compensation amount ΔPCI2, including: The first coal injection compensation amount ΔPCI1 and the second coal injection compensation amount ΔPCI2 are summed to obtain a total coal injection amount compensation amount ΔPCI.

7. The method for adjusting the coal injection amount of a blast furnace according to claim 1, characterized in that: The step of obtaining the optimal coal injection amount for the current furnace condition based on the coal injection amount adjustment amount and the current coal injection setting amount includes: The coal injection amount adjustment amount is summed with the current coal injection setting amount to obtain the optimal coal injection amount for the current furnace condition.

8. A blast furnace coal injection amount regulating device, characterized in that: The blast furnace coal injection amount regulating device comprises: Data acquisition module, used to obtain furnace heat impact parameters; Target carbon ratio calculation module, used to calculate the target carbon ratio of the current furnace condition based on the furnace heat impact parameters; The base coal injection amount calculation module is used to calculate the base coal injection amount of the current furnace condition based on the target carbon ratio, the average coke carbon ratio in the soft melting zone area, the average coke butyl carbon ratio in the soft melting zone area and the quality data of the injected coal; A coal injection amount deviation calculation module is used to calculate the coal injection amount deviation βPCI according to the reference coal injection amount of the current furnace condition and the current set coal injection amount; A first coal injection compensation amount calculation module is configured to calculate a first coal injection compensation amount ΔPCI1 required to compensate for a deviation of the furnace temperature from a normal range based on a first relationship and the current silicon content of the molten iron; the first relationship represents a correlation between the silicon content of the molten iron and the coal injection compensation amount; A second coal injection compensation amount calculation module is used to calculate the second coal injection compensation amount △PCI2 based on the actual iron production and theoretical iron production of the previous smelting cycle; A total coal injection amount compensation amount calculation module is used to obtain the total coal injection amount compensation amount ΔPCI according to the first coal injection compensation amount ΔPCI1 and the second coal injection compensation amount ΔPCI2; a coal injection amount adjustment amount calculation module, configured to obtain a current coal injection amount adjustment amount based on a second relationship, the coal injection amount deviation amount βPCI and the coal injection amount total compensation amount ΔPCI; wherein the second relationship represents a correlation between the coal injection amount deviation amount, the coal injection amount total compensation amount, and the coal injection amount adjustment amount; The optimal coal injection amount calculation module is used to obtain the optimal coal injection amount for the current furnace condition based on the coal injection amount adjustment amount and the current coal injection setting amount.

9. A blast furnace coal injection amount regulating device, characterized in that: include: one or more processors; and A memory for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the memory implements the method for adjusting the blast furnace coal injection amount according to any one of claims 1 to 7.

10. A machine-readable medium, characterized in that Instructions are stored thereon, which, when executed by one or more processors, enable the processors to execute the method for adjusting the blast furnace coal injection amount as described in any one of claims 1-7.

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