Operation management method for sintering equipment

Abstract

To enable confirmation of a predicted value for an important index in operation of sintering equipment.SOLUTION: An operational management method of sintering equipment for producing sintered ore from sintered raw material containing iron-containing raw material and carbon-containing raw material includes: a step to collect to a first computer 12 operation data on a sintered raw material conveying step, a granulation step, a charging step, a sintering step and a conveying step for conveying to a blast furnace the sintered ore obtained in the sintering step; and a step in which a second computer 13 performs special calculation by using the collected operation data and calculates a predicted value of an important index in operation of the sintering equipment.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present disclosure relates to an operation management method for sintering equipment.

Background Art

[0002] Conventionally, in the operation of sintering equipment for producing sintered ore from sintering raw materials including iron-containing raw materials and carbon-containing raw materials, an operation operator often performs the operation while checking the operation data of each process related to the operation of the sintering equipment. The operation of the sintering equipment includes, for example, a raw material transportation process, a granulation process, a charging process, a sintering process, and a transportation process of the sintered ore obtained in the sintering process to a blast furnace.

[0003] In the operation of sintering equipment, it is important to maintain the air permeability of granulated particles in the sintering machine. Granulated particles are particles obtained by adding water to sintering raw materials and granulating them. By maintaining the air permeability of granulated particles, the granulated particles can be sintered at a high temperature.

[0004] In addition, in the sintered ore obtained by the operation of sintering equipment, sintered ore having a particle size less than a predetermined particle size inhibits the operation of the blast furnace in the next process. Therefore, in the operation of sintering equipment, it is important to reduce the generation ratio of sintered ore having a particle size less than a predetermined particle size.

[0005] In order to check important indicators in the operation of sintering equipment such as the air permeability of granulated particles and the generation ratio of sintered ore having a particle size less than a predetermined particle size, it is necessary to collect various operation data and check the real-time values of these important indicators.

[0006] For example, Patent Document 1 discloses a method for monitoring the operation status of a plurality of production facilities of the same type arranged at a plurality of production sites. Patent Document 1 discloses a method that aggregates the operation data of production facilities in one place and enables a quick response to operation abnormalities of production facilities.

Prior Art Documents

Patent Documents

[0007]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0008] According to the method disclosed in Patent Document 1, it is possible to monitor the operation data of production equipment and respond to operation abnormalities.

[0009] However, regarding important indicators in the operation of sintering equipment, such as the air permeability of granulated particles and the generation ratio of sintered ore with a particle size less than a predetermined value, it is desirable not only to monitor the real-time values but also to confirm the predicted values.

[0010] An object of the present disclosure is to provide an operation management method for sintering equipment that enables confirmation of predicted values of important indicators in the operation of sintering equipment.

Means for Solving the Problems

[0011] [1] An operation management method for a sintering facility that manufactures sintered ore from a sintering raw material containing an iron-containing raw material and a carbon-containing raw material, comprising: a step of aggregating operation data related to the conveying process, granulation process, charging process, sintering process of the sintering raw material, and the conveying process of the sintered ore obtained in the sintering process to a blast furnace in a first computer; a step in which a second computer executes a special calculation using the aggregated operation data to calculate a predicted value of an important indicator in the operation of the sintering facility; An operation management method for a sintering facility, including:

[0012] [2] A step in which a third computer acquires the operation data aggregated in the first computer and the predicted value of an important indicator in the operation of the sintering facility calculated by the second computer; a step in which the third computer provides the operation data and the predicted value of an important indicator in the operation of the sintering facility to a terminal device; A step of checking the operation data output by the terminal device and the predicted values of important indicators in the operation of the sintering equipment, and changing the operation conditions of the sintering equipment; The operation management method of the sintering equipment according to [1] above, further comprising.

[0013] [3] The predicted value of an important indicator in the operation of the sintering equipment includes the predicted value of the return ore generation ratio of the sintered ore, and the operation management method of the sintering equipment according to [1] or [2] above.

[0014] [4] The predicted value of an important indicator in the operation of the sintering equipment further includes an index representing the air permeability of granulated particles in the sintering machine in the sintering process, and the operation management method of the sintering equipment according to [3] above.

[0015] [5] The operation data includes the measured value of the temperature of the exhaust gas in the sintering machine in the sintering process and the measured values of the concentrations of O2, CO2, CO, and NOx in the exhaust gas, and the operation management method of the sintering equipment according to any one of [1] to [4] above.

[0016] [6] The operation data includes the measured value of the particle size distribution of the granulated particles granulated in the granulation process, and the operation management method of the sintering equipment according to any one of [1] to [5] above. [Advantages of the Invention]

[0017] According to the operation management method of the sintering equipment according to the present disclosure, it is possible to confirm the predicted values of important indicators in the operation of the sintering equipment. [Brief Description of the Drawings]

[0018]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Mode for Carrying Out the Invention

[0019] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings.

[0020] FIG. 1 is a diagram schematically showing a configuration example of a sintering facility 1 according to an embodiment of the present disclosure. The sintering facility 1 is a facility capable of producing sintered ore from a sintering raw material containing an iron-containing raw material and a carbon-containing raw material.

[0021] The sintering facility 1 includes a granulator 20, a sintering machine 30, a crusher 40, a cooler 50, and a screening device 60.

[0022] The granulator 20 granulates granulated particles from a sintering raw material containing an iron-containing raw material and a carbon-containing raw material. When the granulator 20 granulates the granulated particles, granulation water is added to the sintering raw material. The iron-containing raw material may be, for example, iron ore. The carbon-containing raw material may be, for example, coke. The sintering raw material may further contain a calcium oxide (CaO)-containing raw material such as quicklime as an auxiliary raw material. The granulated particles granulated by the granulator 20 are conveyed to the sintering machine 30.

[0023] The granulator 20 may be any granulator capable of producing granulated particles, for example, a drum mixer.

[0024] The sintering machine 30 may be any sintering machine capable of sintering granulated particles, for example, a Dwight Lloyd type sintering machine. The sintering machine 30 includes a sintering raw material supply device 31, a pallet 32, an ignition furnace 33, and a wind box 34.

[0025] The sintering raw material supply device 31 loads the granulated particles supplied from the granulator 20 into the pallet 32.

[0026] The pallet 32 is an endless moving pallet. When the pallet 32 is loaded with granulated particles from the sintering raw material supply device 31, a raw material loading layer is formed on the pallet 32.

[0027] The ignition furnace 33 ignites the carbon-containing raw material contained in the surface layer of the raw material loading layer formed on the pallet 32.

[0028] The wind box 34 sucks the air of the raw material loading layer formed on the pallet 32 downward. When the air of the raw material loading layer is sucked downward by the wind box 34, the combustion and melt in the raw material loading layer move downward in the raw material loading layer. Thus, by the movement of the combustion and melt in the raw material loading layer, the raw material loading layer is sintered. As a result, a sintered cake is obtained from the raw material loading layer.

[0029] In the example shown in FIG. 1, 14 wind boxes 34 are shown, but the number of wind boxes 34 provided in the sintering machine 30 is not limited to this. The sintering machine 30 may be provided with any number of wind boxes 34.

[0030] The crusher 40 crushes the sintered cake supplied from the sintering machine 30. The crusher 40 supplies the crushed material of the sintered cake to the cooler 50. By crushing the sintered cake in this way, sintered ore is obtained.

[0031] The cooler 50 cools the sintered ore supplied from the crusher 40. The sintered ore cooled by the cooler 50 is supplied to the screening device 60.

[0032] The screening device 60 screens the sintered ore cooled by the cooler 50 into sintered ore having a particle size equal to or larger than a predetermined particle size and sintered ore having a particle size smaller than the predetermined particle size. The predetermined particle size may be, for example, 5 mm.

[0033] The sintered ore having a predetermined particle size or more sieved by the screening device 60 is transported to the blast furnace. The sintered ore having a particle size less than the predetermined particle size may be blended with the sintering raw material supplied to the granulator 20 as returned ore and reused as a raw material for the sintered ore.

[0034] In the sintering facility 1, various processes are performed. For example, in the sintering facility 1, a sintering raw material transportation process, a granulation process, a charging process, a sintering process, and a transportation process to the blast furnace are performed.

[0035] The sintering raw material transportation process is a process of transporting the sintering raw material from the yard where the sintering raw material is placed to the granulator 20. The granulation process is a process of granulating granulated particles from the sintering raw material in the granulator 20. The charging process is a process of charging the granulated particles granulated by the granulator 20 into the pallet 32 of the sintering machine 30. The sintering process is a process of manufacturing sintered ore from the granulated particles by the sintering machine 30 and the crusher 40. The transportation process to the blast furnace is a process of transporting the sintered ore obtained in the sintering process to the blast furnace.

[0036] Subsequently, an operation management system for managing the operation of the sintering facility 1 shown in FIG. 1 will be described. FIG. 2 is a diagram schematically showing a configuration example of an operation management system 10 for managing the operation of the sintering facility 1 according to an embodiment of the present disclosure.

[0037] The operation management system 10 shown in FIG. 2 is a system that monitors the operation of the sintering facility 1 and enables adjustment of the operation conditions of the sintering facility 1 based on the monitoring results.

[0038] As shown in FIG. 2, the operation management system 10 includes a sensor 11, a process computer 12, a special arithmetic computer 13, an edge server computer 14, and a terminal device 15. The process computer 12 corresponds to the "first computer" in the claims. The special arithmetic computer 13 corresponds to the "second computer" in the claims. The edge server computer 14 corresponds to the "third computer" in the claims.

[0039] The sensor 11 is communicably connected to the process computer 12 via a network. The process computer 12 is communicably connected to the sensor 11, the special operation computer 13, and the edge server computer 14 via a network. The special operation computer 13 is communicably connected to the process computer 12 and the edge server computer 14 via a network. The edge server computer 14 is communicably connected to the process computer 12, the special operation computer 13, and the terminal device 15 via a network. The terminal device 15 is communicably connected to the edge server computer 14 via a network. The network may be any telecommunications line capable of wired communication, wireless communication, etc.

[0040] In FIG. 2, one sensor 11 is shown, but there may be two or more sensors 11. Also, one process computer 12 is shown, but there may be two or more process computers 12. Also, one special operation computer 13 is shown, but there may be two or more special operation computers 13. Also, one edge server computer 14 is shown, but there may be two or more edge server computers 14. Also, three terminal devices 15 are shown, but the operation management system 10 may be provided with any number of terminal devices 15.

[0041] The sensor 11 is a sensor installed at various locations of the sintering facility 1. The sensor 11 measures various physical quantities in each process of the sintering facility 1. The sensor 11 may be installed, for example, in the granulator 20, the sintering machine 30, the crusher 40, the cooler 50, the screening device 60, etc. The sensor 11 can measure information related to each process performed in the sintering facility 1.

[0042] The sensor 11 may be, for example, a flow sensor, a pressure sensor, a temperature sensor, a concentration sensor, etc. The sensor 11 transmits the measured value to the process computer 12.

[0043] The process computer 12 acquires the measured values measured by the sensor 11. Also, the process computer 12 stores the set values of the parameters that can be set in each device included in the sintering facility 1. For example, the process computer 12 may store the set values of the granulator 20, the sintering machine 30, and the like. Further, the process computer 12 stores the performance values in the previous operations of the sintering facility 1.

[0044] In this way, the process computer 12 aggregates the operation data related to the conveying process of the sintering raw material, the granulation process, the charging process, the sintering process, and the conveying process of the sintered ore obtained in the sintering process to the blast furnace. In the present embodiment, the "operation data" includes the measured values measured by the sensor 11, the set values of the parameters that can be set in each device included in the sintering facility 1, and the performance values in the previous operations of the sintering facility 1.

[0045] The process computer 12 transmits the aggregated operation data to the special calculation computer 13 and the edge server computer 14.

[0046] The process computer 12 may be a general-purpose computer such as a workstation or a personal computer, or may be a dedicated computer configured to function as the process computer 12 of the operation management system 10.

[0047] The special calculation computer 13 acquires the operation data aggregated by the process computer 12 from the process computer 12.

[0048] The special calculation computer 13 executes a special calculation using the acquired operation data and calculates the predicted values of the important indicators in the operation of the sintering facility 1. In the present embodiment, the "special calculation" is a calculation for calculating the predicted values of the important indicators in the operation of the sintering facility 1.

[0049] The predicted values of the important indicators in the operation of the sintering facility 1 include the predicted value of the return ore generation ratio of the sintered ore. The important indicators in the operation of the sintering facility 1 may further include an index representing the air permeability of the granulated particles in the sintering machine 30 in the sintering process. In the present embodiment, a case where the predicted values of the important indicators in the operation of the sintering facility 1 include an index representing the air permeability of the granulated particles and the predicted value of the return ore generation ratio of the sintered ore will be described as an example.

[0050] The air permeability of the granulated particles in the sintering machine 30 in the sintering process is the air permeability of the granulated particles contained in the raw material charging layer formed on the pallet 32. The index representing the air permeability of the granulated particles in the sintering machine 30 may be a predicted value of the air permeability of the granulated particles in the sintering machine 30 or may be the current value of the air permeability of the granulated particles in the sintering machine 30.

[0051] The return ore generation ratio of the sintered ore is the ratio of the sintered ore sieved as return ore due to having a particle size less than a predetermined particle size in the screening device 60. In other words, it is the ratio of the sintered ore having a particle size less than a predetermined particle size among the sintered ore supplied to the screening device 60.

[0052] The special arithmetic computer 13 transmits the calculated index representing the air permeability of the granulated particles and the predicted value of the return ore generation ratio of the sintered ore to the edge server computer 14.

[0053] The special arithmetic computer 13 may be a general-purpose computer such as a workstation or a personal computer, or may be a dedicated computer configured to function as the special arithmetic computer 13 of the operation management system 10.

[0054] The edge server computer 14 acquires the operation data aggregated by the process computer 12 from the process computer 12. Further, the edge server computer 14 acquires the index representing the air permeability of the granulated particles calculated by the special arithmetic computer 13 and the predicted value of the return ore generation ratio of the sintered ore from the special arithmetic computer 13.

[0055] The edge server computer 14 stores operation data, an index representing the air permeability of granulated particles, and a predicted value of the return ore generation rate of sintered ore, together with a time stamp.

[0056] In this way, since the edge server computer 14 stores operation data, an index representing the air permeability of granulated particles, and a predicted value of the return ore generation rate of sintered ore, various types of data can be unified in the edge server computer 14.

[0057] The edge server computer 14 can provide operation data, an index representing the air permeability of granulated particles, and a predicted value of the return ore generation rate of sintered ore to the terminal device 15 used by the operator through various software.

[0058] The edge server computer 14 may be a general-purpose computer such as a workstation or a personal computer, or may be a dedicated computer configured to function as the edge server computer 14 of the operation management system 10.

[0059] The terminal device 15 is a terminal device used by an operator who manages the operation of the sintering facility 1. The terminal device 15 may be a general-purpose computer such as a smartphone, a tablet, or a personal computer, or may be a dedicated computer configured to function as the terminal device 15 of the operation management system 10.

[0060] The terminal device 15 can output, for example, by displaying on a display, the operation data, an index representing the air permeability of granulated particles, and a predicted value of the return ore generation rate of sintered ore provided from the edge server computer 14. The software for the terminal device 15 to display the operation data, an index representing the air permeability of granulated particles, and a predicted value of the return ore generation rate of sintered ore, etc., may be capable of display by graphs and dashboards, etc. The terminal device 15 can display the operation data, an index representing the air permeability of granulated particles, and a predicted value of the return ore generation rate of sintered ore on the display at any timing.

[0061] The operator operating the terminal device 15 can check the operation data output by the terminal device 15, the index representing the air permeability of the granulated particles, and the predicted value of the return ore generation ratio of the sintered ore, and can change the operating conditions of the sintering facility 1.

[0062] The operator operating the terminal device 15 can change the operating conditions of the sintering facility 1 so that the air permeability of the granulated particles and the return ore generation ratio of the sintered ore are within a desired range.

[0063] With reference to FIG. 3, an example in which the special arithmetic computer 13 calculates the current value of the air permeability of the granulated particles using the operation data will be described. Further, with reference to FIG. 3, an example of a change (improvement action) of the operating conditions for bringing the air permeability of the granulated particles within a desired range will be described.

[0064] In the example shown in FIG. 3, the special arithmetic computer 13 calculates the current value of the air permeability of the granulated particles using the exhaust gas flow rate, the firing area, the layer thickness, and the exhaust gas duct pressure as the operation data.

[0065] The exhaust gas flow rate is the flow rate of the exhaust gas flowing through the wind box 34. The exhaust gas flow rate may be measured by the sensor 11 which is a flow meter installed in the wind box 34.

[0066] The firing area is the area of the portion where the raw material charging layer is fired above the wind box 34. The firing area may be stored in the process computer 12 as a set value.

[0067] The layer thickness is the thickness of the raw material charging layer formed on the pallet 32. The layer thickness may be stored in the process computer 12 as a set value.

[0068] The exhaust gas duct pressure is the pressure of the exhaust gas in the wind box 34. The exhaust gas duct pressure may be measured by the sensor 11 which is a pressure gauge installed in the wind box 34.

[0069] The special calculation computer 13 may calculate the current value of the air permeability of the granulated particles, for example, based on the following formula 1. Formula 1: (Air permeability) = (Exhaust gas flow rate / Firing area) × (Layer thickness / Exhaust gas duct negative pressure)^α

[0070] In the above formula 1, α is a coefficient.

[0071] The air permeability calculated by formula 1 is, for example, in a desired range of about 22 to 28.

[0072] When the current value of the air permeability is a small value relative to the desired range, the operator who has confirmed at the terminal device 15 that the current value of the air permeability is small can change the operating conditions to increase the air permeability.

[0073] In the example shown in Figure 3, as parameters of the operating conditions to be changed as improvement actions for increasing the air permeability, the quicklime ratio, the return ore blending ratio, the exhaust gas flow rate, the raw material moisture ratio, and the raw material coke ratio are shown.

[0074] The quicklime ratio is the ratio of quicklime contained in the sintering raw material. By increasing the quicklime ratio, the air permeability can be increased.

[0075] The return ore blending ratio is the ratio of return ore contained in the sintering raw material. By increasing the return ore blending ratio, the air permeability can be increased.

[0076] The exhaust gas flow rate is the flow rate of the exhaust gas flowing through the wind box 34. By decreasing the exhaust gas flow rate, the air permeability can be increased.

[0077] The raw material moisture ratio is the ratio of granulation water added to the sintering raw material. Whether to increase or decrease the granulation water when increasing the air permeability depends on the situation. Therefore, the operator checks the operation data displayed by the terminal device 15 and appropriately increases or decreases the granulation water according to the content of the operation data.

[0078] The raw coke ratio is the ratio of coke contained in the sintering raw materials. By reducing the raw coke ratio, the air permeability can be increased.

[0079] In the example shown in FIG. 3, it is an example that the special arithmetic computer 13 calculates the current value of the air permeability of the granulated particles using the exhaust gas flow rate, the firing area, the layer thickness, and the exhaust gas duct pressure as operation data. The special arithmetic computer 13 may calculate the air permeability of the granulated particles based on other operation data.

[0080] Also, in the example shown in FIG. 3, it is an example that the quicklime ratio, the return ore blending ratio, the exhaust gas flow rate, the raw material moisture ratio, and the raw coke ratio are shown as parameters to be adjusted in the improvement action for increasing the air permeability. In the improvement action for increasing the air permeability, other parameters may be adjusted.

[0081] Referring to FIG. 4, an example of the case where the special arithmetic computer 13 calculates the predicted value of the air permeability of the granulated particles using operation data will be described.

[0082] In the example shown in FIG. 4, the special arithmetic computer 13 calculates the predicted value of the air permeability of the granulated particles using the raw material particle size of the granulated particles, the raw material moisture of the granulated particles, the rotation speed and diameter of the drum mixer, and the particle size distribution of the granulated particles as operation data.

[0083] The raw material particle size of the granulated particles is the particle size of the sintering raw materials which are the raw materials of the granulated particles. The raw material particle size of the granulated particles may be stored in the process computer 12 as a set value. Alternatively, the raw material particle size of the granulated particles may be a measured value measured by the sensor 11 capable of measuring the raw material particle size of the granulated particles.

[0084] The raw material moisture of the granulated particles is the moisture contained in the granulated particles. The raw material moisture of the granulated particles may be measured by the sensor 11 capable of measuring the moisture of the granulated particles.

[0085] The rotational speed and diameter of the drum mixer are those of the drum mixer when the granulator 20 is a drum mixer. The rotational speed and diameter of the drum mixer may be stored in the process computer 12 as set values.

[0086] The particle size distribution of the granulated particles is that of the granulated particles granulated by the granulator 20. The particle size of the granulated particles means the size of the diameter of the granulated particles. The particle size distribution of the granulated particles may be measured by a sensor 11 capable of measuring the particle size distribution of the granulated particles.

[0087] Note that since the improvement action for making the air permeability of the granulated particles within a desired range is the same as the content described in FIG. 3, the description is omitted.

[0088] Referring to FIG. 5, an example of the case where the special arithmetic computer 13 calculates a predicted value of the return ore generation rate using operation data will be described. Also, referring to FIG. 5, an example of the change (improvement action) of the operation conditions for making the return ore generation rate below a desired value will be described.

[0089] In the example shown in FIG. 5, the special arithmetic computer 13 calculates the oxygen concentration in the windbox using the C gas flow rate, the furnace pressure, and the air-fuel ratio as operation data.

[0090] The oxygen concentration in the windbox is an intermediate index for calculating the predicted value of the return ore generation rate. The oxygen concentration in the windbox is the oxygen concentration in any one of the windboxes 34 shown in FIG. 1. The oxygen concentration in the windbox may be, for example, the oxygen concentration in the second windbox 34 from the left.

[0091] The special arithmetic computer 13 may calculate the oxygen concentration in the windbox using the C gas flow rate, the furnace pressure, and the air-fuel ratio by prediction based on machine learning using analysis software such as SPSS, for example.

[0092] The C gas flow rate is the flow rate of the C gas flowing through the burner installed in the ignition furnace 33. The C gas flow rate may be stored in the process computer 12 as a set value.

[0093] The furnace internal pressure is the pressure inside the burner installed in the ignition furnace 33. The furnace internal pressure may be measured by the sensor 11 which is a pressure gauge installed inside the burner.

[0094] The air-fuel ratio is the ratio of C gas to air. The air-fuel ratio may be stored in the process computer 12 as a set value.

[0095] Also, the special operation computer 13 calculates BTP, BRP, the exhaust gas CO2 concentration, and the exhaust gas flow rate using, as operation data, the exhaust gas temperature, the temperature below the grate, the layer thickness, the exhaust gas components, the raw coke ratio, the raw material moisture ratio, and the circulating gas components.

[0096] BTP, BRP, the exhaust gas CO2 concentration, and the exhaust gas flow rate are intermediate indices for calculating the predicted value of the return ore generation ratio.

[0097] BTP (Burn Through Point) is an index indicating the position in the machine length direction (the moving direction of the pallet 32) where the firing of the sintered ore is completed and the exhaust gas temperature of the wind box 34 becomes maximum.

[0098] BRP (Burn Rising Point) is an index indicating the position in the machine length direction where the exhaust gas temperature of the wind box 34 starts to rise.

[0099] The exhaust gas CO2 concentration is the concentration of CO2 in the exhaust gas flowing through the wind box 34.

[0100] The exhaust gas flow rate is the flow rate of the exhaust gas flowing through the wind box 34.

[0101] The special calculation computer 13 may, for example, perform regression analysis to calculate BTP, BRP, exhaust gas CO2 concentration, and exhaust gas flow rate using the exhaust gas temperature, temperature under the grate, layer thickness, exhaust gas components, raw coke ratio, raw material moisture ratio, and circulating gas components.

[0102] The exhaust gas temperature is the temperature of the exhaust gas flowing through the wind box 34. The exhaust gas temperature may be measured by the sensor 11 which is a thermometer installed in the wind box 34.

[0103] The temperature under the grate is the temperature under the grate in the sintering machine 30. The temperature under the grate may be measured by the sensor 11 which is a thermometer installed under the grate in the sintering machine 30.

[0104] The layer thickness is the thickness of the raw material charging layer formed on the pallet 32. The layer thickness may be stored in the process computer 12 as a set value.

[0105] The exhaust gas components are the components of the exhaust gas flowing through the wind box 34. The exhaust gas components may be measured by the sensor 11 which is a concentration meter installed in the wind box 34. The concentration meter measures, for example, the concentrations of O2, CO2, CO, and NOx in the exhaust gas.

[0106] The raw coke ratio is the ratio of coke contained in the sintering raw material. The raw coke ratio may be stored in the process computer 12 as a set value.

[0107] The raw material moisture ratio is the ratio of granulation water added to the sintering raw material. The raw material moisture ratio may be stored in the process computer 12 as a set value.

[0108] The circulating gas components are the components of the gas that is reused among the exhaust gas discharged from the wind box 34. The circulating gas components may be measured by the sensor 11 capable of measuring the concentration of the gas that is reused among the exhaust gas discharged from the wind box 34.

[0109] The special arithmetic computer 13 calculates a predicted value of the return ore generation ratio based on the intermediate indices, namely, the windbox oxygen concentration, BTP, BRP, the exhaust gas CO2 concentration, and the exhaust gas flow rate, and the return ore metric and the sinter ore metric.

[0110] The return ore metric is the weight of the return ore. The return ore metric may be measured by a sensor 11 capable of measuring the weight of the return ore.

[0111] The sinter ore metric is the weight of the sinter ore. The sinter ore metric may be measured by a sensor 11 capable of measuring the weight of the sinter ore.

[0112] When the predicted value of the return ore generation ratio is greater than the desired value, an operator who has confirmed at the terminal device 15 that the predicted value of the return ore generation ratio is greater than the desired value can change the operating conditions to reduce the return ore generation ratio. The return ore generation ratio is desirably, for example, 25% or less.

[0113] In the example shown in FIG. 5, as parameters of the operating conditions to be changed as improvement actions for reducing the return ore generation ratio, the C gas flow rate, the air-fuel ratio, the layer thickness, the raw material coke ratio, the raw material moisture ratio, the MBS angle, the quicklime ratio, and the exhaust gas flow rate are shown.

[0114] By increasing the C gas flow rate, the return ore generation ratio can be reduced.

[0115] Whether to increase or decrease the air-fuel ratio when reducing the return ore generation ratio depends on the situation. Therefore, the operator checks the operating data displayed by the terminal device 15 and increases or decreases the air-fuel ratio according to the content of the operating data.

[0116] By increasing the layer thickness, the return ore generation ratio can be reduced.

[0117] Whether to increase or decrease the raw material coke ratio when reducing the return ore generation ratio depends on the situation. Therefore, the operator checks the operation data displayed on the terminal device 15 and increases or decreases the raw material coke ratio according to the content of the operation data.

[0118] Whether to increase or decrease the raw material moisture ratio when reducing the return ore generation ratio depends on the situation. Therefore, the operator checks the operation data displayed on the terminal device 15 and increases or decreases the raw material moisture ratio according to the content of the operation data.

[0119] The MBS (Magnetic Brake Shoot) angle is the angle of the charging shoot of the sintering raw material supply device 31. The type of the charging shoot is selected according to the configuration of the sintering raw material supply device 31, but it may be a type other than MBS. Whether to increase or decrease the MBS angle when reducing the return ore generation ratio depends on the situation. Therefore, the operator checks the operation data displayed on the terminal device 15 and increases or decreases the MBS angle according to the content of the operation data.

[0120] By increasing the quicklime ratio, the return ore generation ratio can be reduced.

[0121] Whether to increase or decrease the exhaust gas flow rate when reducing the return ore generation ratio depends on the situation. Therefore, the operator checks the operation data displayed on the terminal device 15 and increases or decreases the exhaust gas flow rate according to the content of the operation data.

[0122] In the example shown in FIG. 5, it is an example that the special arithmetic computer 13 calculates the predicted value of the return ore generation ratio using the C gas flow rate, furnace internal pressure, air-fuel ratio, exhaust gas temperature, temperature under the grate, layer thickness, exhaust gas components, raw material coke ratio, raw material moisture ratio, circulating gas components, return ore metric and sintered ore metric as operation data. The special arithmetic computer 13 may calculate the predicted value of the return ore generation ratio based on other operation data.

[0123] Also, in the example shown in FIG. 5, it is an example that the parameters to be adjusted in the improvement action for reducing the return ore generation ratio are shown as the flow rate of C gas, the air-fuel ratio, the layer thickness, the ratio of raw material coke, the ratio of raw material moisture, the MBS angle, the ratio of quicklime, and the exhaust gas flow rate. In the improvement action for reducing the return ore generation ratio, other parameters may be adjusted.

[0124] As described above, the operation management method of the sintering facility 1 according to the present embodiment includes a step of aggregating operation data related to the conveying process, granulation process, charging process, sintering process, and the conveying process of the sintered ore obtained in the sintering process to the blast furnace of the sintering raw materials in the process computer 12, and a step in which the special calculation computer 13 executes a special calculation using the aggregated operation data and calculates a predicted value of an important index in the operation of the sintering facility 1. Thus, the operation management method of the sintering facility 1 according to the present embodiment calculates a predicted value of an important index in the operation of the sintering facility 1 using the operation data aggregated in the process computer 12. Therefore, the operation management method of the sintering facility 1 according to the present embodiment can enable the predicted value of an important index in the operation of the sintering facility 1 to be confirmed.

[0125] Further, in the operation management method of the sintering facility 1 according to the present embodiment, since the special calculation computer 13 calculates the predicted value of an important index in the operation of the sintering facility 1 instead of the operator, there is no variation in the calculation result of the predicted value by the operator.

[0126] Further, the operation management method of the sintering facility 1 according to the present embodiment may further include a step of confirming the operation data output from the terminal device 15 and the predicted value of an important index in the operation of the sintering facility 1 and changing the operation conditions of the sintering facility 1. Thus, since the operator can confirm the aggregated large amount of operation data and the predicted value of an important index in the operation of the sintering facility 1 using the terminal device 15, the operator can quantitatively grasp the operation situation.

[0127] The present disclosure is not limited to the above-described embodiments. For example, a plurality of blocks described in a block diagram may be integrated, or one block may be divided. Instead of executing a plurality of steps described in a flowchart in time series according to the description, each step may be executed in parallel or in a different order according to the processing capacity of the device that executes each step, or as necessary. In addition, changes can be made without departing from the spirit of the present disclosure.

[0128] For example, in the above-described embodiment, a case where operation data, an index representing the air permeability of granulated particles, and a predicted value of the return ore generation ratio of sintered ore are stored in the edge server computer 14 together with a time stamp was described as an example. However, the edge server computer 14 may be connected to a global data server computer, and the global data server computer may be configured to store operation data, an index representing the air permeability of granulated particles, and a predicted value of the return ore generation ratio of sintered ore together with a time stamp. In this case, the terminal device 15 may be provided with operation data, an index representing the air permeability of granulated particles, and a predicted value of the return ore generation ratio of sintered ore from the global data server computer. The global data server computer may be connected to a plurality of edge server computers 14 of a plurality of sintering facilities 1. In this case, the global data server computer may store operation data, an index representing the air permeability of granulated particles, and a predicted value of the return ore generation ratio of sintered ore in a plurality of sintering facilities 1.

[0129] Also, for example, in the above-described embodiment, a case where an operator checks operation data, an index representing the air permeability of granulated particles, and a predicted value of the return ore generation ratio of sintered ore output by the terminal device 15 and changes the operation conditions of the sintering facility 1 was described as an example. However, the operation conditions of the sintering facility 1 may be changed automatically. In this case, the special arithmetic computer 13 or the edge server computer 14 may automatically change the operation conditions of the sintering facility 1.

Explanation of Reference Numerals

[0130] 1 Sintering Facility 10 Operation Management System 11 Sensor 12 Process computer (first computer) 13 Special operation computer (second computer) 14 Edge server computer (third computer) 15 Terminal device 20 Granulator 30 Sintering machine 31 Sintering raw material supply device 32 Pallet 33 Ignition furnace 34 Wind box 40 Crusher 50 Cooler 60 Screening device

Claims

1. An operation management method for a sintering facility that manufactures sintered ore from a sintering raw material containing an iron-containing raw material and a carbon-containing raw material, a step of aggregating operation data related to the conveying process, granulation process, charging process, sintering process of the sintering raw material, and the conveying process of the sintered ore obtained in the sintering process to a first computer; a step in which a second computer executes calculations including regression analysis using the aggregated operation data to calculate predicted values of important indicators in the operation of the sintering facility; including, the operation data includes measured values of the temperature of the exhaust gas in the sintering machine in the sintering process and measured values of the concentrations of O2, CO2, CO, and NOx in the exhaust gas; A method for operating and managing a sintering facility, wherein the predicted value of an important indicator in the operation of the sintering facility includes a predicted value of the return ore generation ratio of the sintered ore.

2. a step in which a third computer acquires the operation data aggregated in the first computer and the predicted values of important indicators in the operation of the sintering facility calculated by the second computer; a step in which the third computer provides the operation data and the predicted values of important indicators in the operation of the sintering facility to a terminal device; a step of confirming the operation data output by the terminal device and the predicted values of important indicators in the operation of the sintering facility, and changing the operation conditions of the sintering facility; The method for operating and managing a sintering facility according to claim 1, further comprising:

3. The method for operating and managing a sintering facility according to claim 1, wherein the predicted value of an important indicator in the operation of the sintering facility further includes an index representing the air permeability of the granulated particles in the sintering machine in the sintering process.

4. The method for operating and managing a sintering facility according to claim 1, wherein the operation data further includes a measured value of the particle size distribution of the granulated particles granulated in the granulation process.

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