A port-based two-stage ore blend production method and system

Abstract

The application provides a two-stage mixing ore production method and system based on a port. Part of the production process (raw material mixing in the remote port formula) of the mixing ore is arranged at the port, the mixing ore demand target of a target steel enterprise is obtained, the demand target includes a target demand component, a simulation production formula is obtained according to the target demand component, various simulation iron ore raw materials are determined according to the simulation production formula, then the simulation production formula is divided into near-range raw materials and remote raw materials according to the raw material particle size attribute of each kind of simulation iron ore raw material, the remote raw materials are various simulation iron ore raw materials with a proportion of a preset particle size range greater than a preset threshold, and vice versa, the near-range raw materials are obtained, and the various remote raw materials are mixed in the mixing yard of the port to form semi-finished mixing ore. The semi-finished mixing ore is transported to the target steel enterprise, and in this way, each steel enterprise can obtain the mixing ore meeting the demand without establishing a special mixing yard of the steel enterprise.

Description

Technical Field

[0001] This application relates to the field of sintering technology, and in particular to a two-stage mixing ore production method and system based on a port. Background Technology

[0002] In the field of iron and steel sintering technology, the stability of the chemical composition (mainly various iron ores or other iron-containing raw materials) of the iron-containing raw materials entering the sintering process is crucial for stable and smooth sintering production, cost reduction, and efficiency improvement. In actual production, to ensure the stability of the chemical composition of iron ore in the sintering process, enterprises establish their own blending yards. These yards uniformly mix iron-containing raw materials from different origins to produce a chemically stable blended ore, which serves as the iron-containing raw material (blended ore) for sintering production.

[0003] In existing iron-containing raw material production, the sintering and mixing yard generally adopts a two-stage mixing process. Steel companies need to set up a primary yard and a secondary yard. The mixing process is as follows: (1) All iron-containing raw materials entering the plant are piled up in the primary yard; (2) All iron-containing raw materials are transported to the pre-mixing tank by a small belt for later use; (3) The stacker / reclaimer stacks the various iron-containing raw materials from the pre-mixing tank layer by layer in the secondary yard to a set height; (4) The stacker / reclaimer transports the stacked and mixed mixture to the sintering process by interception. The storage of materials in the secondary yard generally meets the production needs of steel companies for 6 to 7 days. The yard occupies a large area (the primary yard of a certain plant occupies 500m×250m, and the secondary yard occupies 500m×100m). Steel companies that adopt the two-stage mixing process themselves have high investment and complex equipment. In steel production, the operating rates of sintering and blast furnaces are both above 0.9, while the operating rates of primary and secondary material yards are generally around 0.7, and the capacity of equipment in primary and secondary material yards is not fully utilized.

[0004] Furthermore, the steel companies themselves adopt the secondary mixing process, which has the following disadvantages: (1) The secondary material yard has a stockpile of more than ten meters high. Due to open-air operation, material collapse often occurs during the rainy season. Moreover, the mixing stockpile machine and the mixing reclaimer are large-scale material yard equipment, with high daily maintenance and overhaul costs, harsh environment, and great difficulty in maintenance; (2) In the process of flat cutting, the secondary material yard has a mixing stockpile of nearly 100,000 tons, and the production cycle is as long as seven or eight days; (3) The production cycle is long, the traceability of the chemical composition of the mixture is poor, and the silicon-isolating operation within the cycle is difficult.

[0005] In the existing technology, the effect of transportation on the segregation of port blended ore has not been studied. Since fine ore is involved in the blending of various steel enterprises, if the types of raw materials transported are restricted, the scope of port blended ore will be greatly narrowed. Summary of the Invention

[0006] To avoid the segregation effect of transportation on port blended ore, and to address the technical problem that restricting the types of raw materials transported would significantly narrow the applicable range of port blended ore, this application provides a two-stage blended ore production method and system based on ports.

[0007] The first aspect of this application provides a port-based two-stage blending ore production method, comprising: obtaining the blending ore demand target of a target steel enterprise, the demand target including target demand components; obtaining a simulated production formula based on the target demand components; determining various simulated iron ore raw materials based on the simulated production formula; obtaining the raw material particle size attribute of each simulated iron ore raw material, the raw material particle size attribute including the proportion of each simulated iron ore raw material within a preset particle size range; identifying various simulated iron ore raw materials whose proportion within the preset particle size range is greater than a preset threshold as remote raw materials, and obtaining short-range raw materials, wherein the simulated production formula is formed by combining short-range and remote raw materials; blending various remote raw materials in a port blending yard to form a semi-finished blended ore; transporting the semi-finished blended ore to the target steel enterprise; and blending the semi-finished blended ore with various short-range raw materials.

[0008] Furthermore, the total number of simulated iron ore raw materials corresponding to the simulated production formula is obtained, as well as the total number of remote and near premixing tanks. The remote premixing tanks are located in the port mixing yard, and the near premixing tanks are located in the target steel enterprise. If the total number of raw materials is not greater than the total number of premixing tanks, the total number of remote premixing tanks is obtained. If the number of remote raw materials is greater than the total number of remote premixing tanks, the preset threshold is increased and the remote raw materials are updated.

[0009] Furthermore, the step "obtaining the target demand for blended ore of the target steel enterprise, wherein the target demand includes target demand components" specifically includes: using various finished blended ores with different historical particle size ranges, historical transportation methods, and historical transportation mileage corresponding to historical transportation methods as input parameters, and using historical transportation segregation degree as output parameter, a particle size distribution transportation segregation model of finished blended ore is established using machine learning methods; the target demand address and port supply address of the target steel enterprise are obtained to determine the simulated supply route; based on the simulated supply route and particle size distribution transportation segregation model, the transport particle size range of finished blended ore with transportation segregation degree within the preset segregation degree range is obtained.

[0010] Furthermore, if the total number of varieties is not greater than the total number of premix tanks, the total number of near-field premix tanks is obtained; if the number of near-field raw materials is greater than the total number of near-field premix tanks, the preset threshold is reduced and the remote raw materials are updated.

[0011] Furthermore, the demand target also includes the demand address, and the port-based two-stage blending ore production method also includes the steps of: determining a simulated supply route based on the target demand address and the port supply address; and determining the preset particle size range based on the simulated supply route.

[0012] Furthermore, the estimated transportation environment is predicted during the transportation period; if the estimated transportation environment is a poor environment, the range of the preset particle size is narrowed.

[0013] Furthermore, the preset particle size range is 3 to 10 millimeters.

[0014] This invention also provides a port-based two-stage blending ore production system, comprising: an acquisition module for acquiring the target blending ore demand of a target steel enterprise, the target demand including target demand components; a formula generation module for acquiring a simulated production formula based on the target demand components, and for determining various simulated iron ore raw materials based on the simulated production formula; a two-stage blending ore production module for: acquiring the raw material particle size attribute of each simulated iron ore raw material, the raw material particle size attribute including the percentage of each simulated iron ore raw material within a preset particle size range; identifying various simulated iron ore raw materials whose percentage within the preset particle size range is greater than a preset threshold as remote raw materials, and acquiring near-range raw materials, wherein the simulated production formula is formed by combining near-range and remote raw materials; blending various remote raw materials in a port blending yard to form a semi-finished blended ore; and transporting the semi-finished blended ore to the target steel enterprise.

[0015] Beneficial effects:

[0016] The port-based two-stage blending ore production method provided in this application sets part of the blending ore production process (raw material blending in the remote port formula) at the port. It obtains the blending ore demand target of the target steel enterprise, including target demand components. Based on the target demand components, a simulated production formula is obtained. Various simulated iron ore raw materials are determined based on the simulated production formula. Then, according to the particle size attributes of each simulated iron ore raw material, the simulated production formula is divided into near-range raw materials and far-range raw materials. The raw materials in the far-port formula are various simulated iron ore raw materials whose proportion within a preset particle size range is greater than a preset threshold. The method involves obtaining nearby raw materials, mixing various remote raw materials at a port blending yard to form a semi-finished blended ore, and then transporting the semi-finished blended ore to the target steel enterprise. The proposed two-stage blended ore production method based on a port divides the blended ore raw materials into nearby and remote raw materials according to a simulated production formula. The nearby raw materials are then mixed with the semi-finished blended ore at the target steel enterprise to ultimately form a sintered blended material. Compared to traditional blended ore production schemes, this method avoids the need for each steel enterprise to establish its own dedicated blending yard (primary and secondary yards), thereby avoiding large-scale ore storage, reducing capital occupation, and minimizing yard area occupancy. Attached Figure Description

[0017] To more clearly illustrate the technical solution of this application, the drawings used in the embodiments will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic diagram of the production process of blended ore provided in the embodiments of this application;

[0019] Figure 2 A schematic diagram of the particle size distribution of the blended ore after mixing at the port.

[0020] Figure 3 for Figure 2 A schematic diagram of the particle size distribution of blended ore after it has been transported from the port to the steel plant.

[0021] Figure 4 A schematic diagram of a two-stage blending ore production method based on a port, provided as an embodiment of this application;

[0022] Figure 5 A schematic diagram of the production process for remote, port-based blending of semi-finished ore;

[0023] Figure 6 for Figure 5 The diagram shows the production process of semi-finished blended ore and near-field raw material mixing in the target steel enterprise. Detailed Implementation

[0024] To more clearly illustrate the blending ore production process provided in the embodiments of this application, the blending ore production process of the port blending yard will be explained first.

[0025] like Figure 1 As shown, the production process of blended ore is as follows:

[0026] (1) After the raw materials are transported by ocean to the port, they can be piled up at the port terminal on the one hand, and on the other hand, the raw materials can be directly allocated to the corresponding iron ore raw material batching tank.

[0027] (2) The reclaimer transports various types of raw materials from the port terminal to the corresponding batching tanks via conveyors. The raw materials for blending ore production are various types of iron ore, such as... Figure 1 As shown, there are multiple (e.g., 13) batching tanks, which means that a maximum of multiple (e.g., 13) different iron ores can be mixed.

[0028] (3) Multiple disc feeders respectively transport the corresponding raw materials in the batching tank to the metering system. During the conveying process, the multiple disc feeders simultaneously measure the amount of material being conveyed.

[0029] (4) The metering system sends the prepared raw materials to the mixing device (such as a vertical high-intensity mixer or a traditional mixer). The vertical high-intensity mixer achieves deep mixing of the raw materials by means of a high-speed rotating agitator.

[0030] (5) The well-mixed materials are transported to the port for storage or to the target user.

[0031] like Figure 1 As shown, the chemical composition and price of the various raw materials in each batching tank are known quantities.

[0032] The iron content (TFe) of the blended ore from the vertical high-intensity mixer can be calculated using the following formula:

[0033]

[0034] Where: TFeN is the percentage of iron content in the iron ore of the Nth batching tank, and N is a positive integer less than or equal to the total number of batching tanks; GN is the batching flow rate of the iron ore in the Nth batching tank, in t / min; G is the total batching flow rate of all batching tanks, in t / min.

[0035] The SiO2 content TSi of the homogenized ore from the vertical high-intensity mixer can be calculated using the following formula:

[0036]

[0037] Where: TSiN is the percentage of SiO2 content in the iron ore of the Nth batching tank, and N is a positive integer less than or equal to the total number of batching tanks; GN is the flow rate of iron ore participating in the batching of the Nth batching tank; unit: t / min; G: total flow rate of all batching tanks, unit: t / min

[0038] The cost P of the homogenized ore from the vertical high-intensity mixer can be calculated using the following formula:

[0039]

[0040] Where: P is the unit production cost of blended ore (unit supply price), unit: yuan / t; K is a coefficient, which takes into account factors such as power consumption and mechanical depreciation in production cost. For example, K can be taken as 1.05 to 1.1; PN: the unit price of iron ore in the Nth batching tank, unit: yuan / t; GN is the batching flow rate of iron ore in the Nth batching tank, unit: t / min; G is the total batching flow rate of all batching tanks, unit: t / min.

[0041] It should be noted that steel mills have a large demand for blended ore and require stable chemical composition. During production, the formula for a specific blended ore for a particular plant will remain constant. Port blending yards can generate production formulas for different qualities and prices in real time based on the port's existing iron ore sources and reserves. The production formulas are shown in Table 1.

[0042] Table 1: Production Formula Table for Port Mixing Yard

[0043]

[0044] like Figure 1 As shown, various minerals are mixed to produce blended ore. Blending ore production is a physical mixing process. The most important control parameter in blended ore production is the stability of the flow ratio of each mineral during the production process.

[0045] As shown in Table 1, the chemical composition of the minerals involved in the blending production and the proportion of each chemical component are known. Therefore, the production formula can be generated in advance based on the composition of the blending ore. Different production formulas result in different blending ore quality and costs. Based on the historical production data of the blending yard (the operating parameters of the batching tank and high-intensity mixer of the port blending yard) or the demand for blending ore from each plant, the production formula can be derived from the blending ore production model constructed according to Formulas 1 to 3. Each port blending yard generates a production formula based on the existing raw material storage conditions. That is, each existing port production formula is an executable production formula for each port blending yard.

[0046] In order to provide steel companies with blended ore that meets their needs without requiring each steel company to establish its own dedicated blending yard (primary and secondary yards), this application provides a port-based two-stage blending ore production method and system.

[0047] Please refer to Figure 2 and Figure 3 Research revealed that the biggest difference between producing blended ore at a dock and producing it at a steel mill is that dock production is located at a distant point, requiring the product to be transported to the steel plant. Blended ore is composed of raw materials of various origins and qualities, each naturally exhibiting particle size differences. After blending, the particle size distribution of the blended ore after uniform mixing of different particle sizes is shown in the attached figure. Figure 2 ;like Figure 2As shown, minerals of different particle sizes are basically evenly distributed after mixing, ensuring that the chemical composition of the mixed ore remains consistent regardless of where it is taken from after entering the steel plant and fed into the sintering process. This guarantees the stability of the raw material composition during production. However, mixed ore mixed at the port will inevitably experience vibration during transportation. As the mixed ore is a bulk material, smaller particles will accumulate at the bottom of the transport container due to vibration, passing through the pores between larger particles. The particle size distribution of the finished mixed ore after long-distance transportation is shown in the attached figure. Figure 3 As shown.

[0048] like Figure 4 , Figure 5 and Figure 6 As shown, this application provides a two-stage blending ore production method based on a port, including the following steps:

[0049] S10 obtains the target demand for blended ore from the target steel enterprise, including the target demand components.

[0050] Understandably, in this embodiment, the target demand for blended ore for each target steel enterprise is obtained. The target demand includes the target demand component, which is generated by the steel enterprise based on its own production experience and order quality. In this invention, the target demand component is a known quantity.

[0051] S20: Obtain the simulated production formula based on the target required components; S30: Determine various simulated iron ore raw materials based on the simulated production formula. Specifically, determine the target formula based on the target steel enterprise's target required components, determine the simulated production formula based on the target formula, and determine various simulated iron ore raw materials and their proportions based on the simulated production formula.

[0052] In practical applications, each target steel enterprise (blending yard) possesses its own rich batching data, i.e., the production formula for blended ore. Each blended ore has corresponding blending ratios (production formulas) for different ore types. Different steel enterprises have different requirements for the technical parameters of blended ore. For a single steel enterprise, the requirement is that the various chemical components in the blended ore be stable. However, for different steel enterprises, each enterprise has different requirements for blended ore. The sintering, blast furnace, and other processes of each steel enterprise are adapted to their respective blended ore composition requirements. Specifically, different chemical components have different effects on the operation of sintering and blast furnaces. The impact is significant, greatly affecting the costs of steel companies. High-grade, low-harmful-element blended ore is expensive, but simpler to operate in sintering and blast furnace processes; conversely, low-grade, high-harmful-element blended ore is cheaper, but more complex to operate in sintering and blast furnace processes. Each steel company is different; some are suited to high-quality ore, some to low-quality ore, and most use intermediate-quality ore. The basic requirement is stable chemical composition. Over years of production, each steel company has developed its own operating habits. Steel companies that have long used low-quality ore may experience production difficulties when switching to high-quality ore, and vice versa.

[0053] In this embodiment, the target formula can be provided in advance by the corresponding steel enterprise, or it can be obtained by simulation through a pre-established blending ore production model. Specifically, the operating parameters of the batching tank and high-intensity mixer of the port blending yard are obtained, and a blending ore production model is established according to the above formulas 1, 2 and 3. The blending production model is used to simulate the blending production that meets the required components. By simulating the production process and modifying different components, the blending ore production results can be obtained directly from the blending ore production model, thereby obtaining blending ore formulas (target formulas) of various qualities.

[0054] S40, obtain the raw material particle size attribute of each simulated iron ore raw material, including the percentage of each simulated iron ore raw material within the preset particle size range.

[0055] Understandably, the first step is to obtain the particle size properties of each simulated iron ore raw material, and then analyze the proportion of each simulated iron ore raw material within the preset particle size range based on the preset particle size range. Specifically, the preset particle size range can be 3-10 mm, 4-10 mm, 5-8 mm, or other range values.

[0056] Optionally, the upper and lower limits of the preset particle size range can be pre-set by the target steel enterprise based on its own experience or historical data, or obtained through simulation analysis, or through an established transport segregation model. This implementation...

[0057] For example, a transportation segregation model for semi-finished blended ore can be established using machine learning methods. Specifically, the model uses various semi-finished blended ore with different historical particle size ranges, historical transportation methods, and historical transportation mileage corresponding to the historical transportation methods as input parameters, and the degree of historical transportation segregation as the output parameter.

[0058] S50, obtain various simulated iron ore raw materials with a proportion of a preset particle size range not less than a preset threshold as remote raw materials, and obtain near-range raw materials, wherein the simulated iron ore raw materials are formed by a combination of near-range raw materials and remote raw materials.

[0059] Understandably, the blended ore raw materials are divided into near-field raw materials and far-field raw materials. Far-field raw materials are various simulated iron ore raw materials whose proportion of the preset particle size range is greater than or equal to the preset threshold, while near-field raw materials are various simulated iron ore raw materials whose proportion of the preset particle size range is less than the preset threshold.

[0060] Optionally, the preset threshold can be 0.6, 0.7, 0.8, or 1. If the preset threshold is equal to 1, it means that the particle size of the remote raw material is within the preset particle size range.

[0061] S60: Various long-distance raw materials are blended at the port blending yard to form a semi-finished blended ore. S70: The semi-finished blended ore is transported to the target steel enterprise. S80: At the target steel enterprise, the semi-finished blended ore is blended with various short-distance raw materials. Specifically, all long-distance raw materials are blended at the port to form a semi-finished blended ore, which is then transported to the target steel enterprise and mixed with various short-distance raw materials to form the blended ore used by the target steel enterprise.

[0062] Furthermore, the total number of simulated iron ore raw materials corresponding to the simulated production formula is obtained, as well as the total number of remote and near premixing tanks. The remote premixing tanks are located in the port mixing yard, and the near premixing tanks are located in the target steel enterprise. If the total number of raw materials is not greater than the total number of premixing tanks, the total number of remote premixing tanks is obtained. If the number of remote raw materials is greater than the total number of remote premixing tanks, the preset threshold is increased and the remote raw materials are updated.

[0063] Understandably, if the variety and quantity of remotely mixed raw materials exceed the number of remote premixing tanks, the preset threshold is amplified and the remote raw materials are updated. In this embodiment, the number of remote premixing tanks located at the pre-selected supply port is fully considered to avoid the technical problem of difficulty in mixing caused by the total quantity of all remote raw materials corresponding to the remote port formula exceeding the number of remote premixing tanks. Specifically, if the preset particle size range is 3-10 mm and the preset threshold is 0.6, and if the raw materials in the remote port formula are simulated iron ore raw materials with a particle size range of 3-10 mm and a proportion of not less than 0.6, including raw material 1, raw material 2, raw material 3, raw material 4, raw material 5, raw material 6, raw material 7, and raw material 8, totaling eight raw materials, and the number of remote premixing tanks at the preselected supply port is seven, then the preset threshold can be adjusted from 0.6 to 0.7, and the raw materials in the remote port formula can be recalculated to be simulated iron ore raw materials with a particle size range of 3-10 mm and a proportion of not less than 0.7, including raw material 1, raw material 2, raw material 3, raw material 4, raw material 5, and raw material 6, totaling six raw materials. At this time, the six raw materials can be mixed in the remote premixing tanks at the preselected supply port to form a semi-finished blended ore.

[0064] Furthermore, the target steel enterprise's blended ore demand target is obtained. The demand target includes the target demand components. The specific steps include: using various finished blended ores with different historical particle size ranges, historical transportation methods, and historical transportation mileage corresponding to historical transportation methods as input parameters, and historical transportation segregation degree as output parameter, a particle size distribution transportation segregation model of finished blended ore is established using machine learning methods; the target demand address and port supply address of the target steel enterprise are obtained to determine the simulated supply route; based on the simulated supply route and particle size distribution transportation segregation model, the transport particle size range value of finished blended ore with transportation segregation degree within the preset segregation degree range is obtained.

[0065] Understandably, this application employs machine learning methods to establish a transport segregation model for the particle size distribution of finished blended ore. It uses various finished blended ores with different historical particle size ranges, historical transport methods, and corresponding historical transport mileage as input parameters, and the degree of historical transport segregation as the output parameter to establish a transport segregation model for semi-finished blended ore. A simulated supply route is determined by the target demand address of the target steel enterprise and the port supply address. The transport particle size range of finished blended ore with a transport segregation degree within a preset range is calculated using the simulated supply route and the particle size distribution transport segregation model.

[0066] Furthermore, if the total number of varieties is not greater than the total number of premix tanks, the total number of near-field premix tanks is obtained; if the number of near-field raw materials is greater than the total number of near-field premix tanks, the preset threshold is reduced and the remote raw materials are updated.

[0067] Understandably, if the quantity of nearby raw materials exceeds the total number of nearby premix tanks, the preset threshold is reduced and the remote raw materials are updated. In this example, the number of nearby premix tanks located at the target steel enterprise is fully considered to avoid the technical problem of difficulty in mixing caused by the quantity of all nearby raw materials corresponding to the target steel enterprise's production formula exceeding the total number of nearby premix tanks. Specifically, if the preset particle size range of the remote raw material is 3-10 mm, then the preset particle size range of the near-range raw material in the target steel enterprise's production formula is less than 3 mm and / or greater than 10 mm, and the preset threshold is 0.5. If the near-range raw material in the target steel enterprise's production formula is simulated iron ore raw material with a particle size range of less than 3 mm and / or greater than 10 mm accounting for less than 0.4%, including Class A, Class B, Class C, Class D, Class E, and Class F raw materials, totaling 6 types of raw materials, and the number of near-range premixing tanks in the target steel enterprise is 5, then the preset threshold can be adjusted from 0.5 to 0.4, and the near-range raw material in the target steel enterprise's production formula can be recalculated to be simulated iron ore raw material with a particle size range of less than 3 mm and / or greater than 10 mm accounting for less than 0.4%, including Class A, Class B, Class C, Class D, and Class E raw materials, totaling 5 types of raw materials. At this time, these five types of raw materials can be mixed in the near-range premixing tanks of the target steel enterprise to form a semi-finished mixed ore, and then the quantity of remote raw materials is updated.

[0068] Furthermore, the demand target also includes the demand address. The port-based two-stage blending ore production method also includes the steps of: determining a simulated supply route based on the target demand address and the port supply address; and determining a preset particle size range based on the simulated supply route. Specifically, this application determines the simulated supply route based on the target steel enterprise's target demand address and the port supply address, and determines the optimal preset particle size range based on the simulated supply route.

[0069] Furthermore, the estimated transportation environment along the transportation route during the transportation period is predicted; if the estimated transportation environment is a poor environment, the range of the preset particle size is narrowed.

[0070] Understandably, blended ore is greatly affected by the transportation environment during transportation. Therefore, it is necessary to predict the estimated transportation environment along the transportation route during the transportation period. If the predicted transportation environment is adverse, the range of preset particle size can be narrowed to avoid a decline in the quality of the blended ore due to transportation in adverse environments. For example, when using shipping, water transportation is greatly affected by the weather. If severe weather such as rain, storms, or wind occurs during the transportation period, it will have a significant impact on the quality of the transported blended ore. Therefore, the range of preset particle size is narrowed. For example, if the preset particle size range is 4-10 mm, in adverse environments, the preset particle size range is narrowed to 3-9 mm.

[0071] Furthermore, the preset particle size range is 3 to 10 mm. Specifically, research has shown that when the preset particle size range is 3-10 mm, transport segregation is reduced and sintering effect is better.

[0072] As can be seen from the above technical solutions, this application embodiment also provides a port-based two-stage blending ore production system, including: an acquisition module for acquiring the target steel enterprise's blending ore demand target, the demand target including target demand components; a formula generation module for acquiring a simulated production formula based on the target demand components, and for determining various simulated iron ore raw materials based on the simulated production formula; a two-stage blending ore production module for: acquiring the raw material particle size attribute of each simulated iron ore raw material, the raw material particle size attribute including the proportion of each simulated iron ore raw material within a preset particle size range; acquiring various simulated iron ore raw materials whose proportion within the preset particle size range is greater than a preset threshold as remote raw materials, and acquiring near-range raw materials, wherein the simulated production formula is formed by combining near-range and remote raw materials; blending various remote raw materials in a port blending yard to form a semi-finished blended ore; and transporting the semi-finished blended ore to the target steel enterprise.

[0073] The present application has been described in detail above with reference to specific embodiments and exemplary examples; however, these descriptions should not be construed as limiting the present application. Those skilled in the art will understand that various equivalent substitutions, modifications, or improvements can be made to the technical solutions and implementation methods of the present application without departing from the spirit and scope of the present application, and all such modifications and improvements fall within the scope of the present application. The scope of protection of the present application is determined by the appended claims.

Claims

1. A two-stage blending ore production method based on a port, characterized in that, Includes the following steps: Obtain the target demand for blended ore from the target steel enterprise, wherein the target demand includes the target demand components; A simulated production formula was obtained based on the target required components; Various simulated iron ore raw materials are determined based on the simulated production formula; Obtain the raw material particle size attribute of each of the simulated iron ore raw materials, wherein the raw material particle size attribute includes the percentage of each of the simulated iron ore raw materials that is within a preset particle size range; Various simulated iron ore raw materials with a proportion greater than a preset threshold within the preset particle size range are identified as remote raw materials, and short-range raw materials are identified. The simulated production formula is formed by combining the short-range raw materials and the remote raw materials. The various remote raw materials are mixed in the port mixing yard to form a semi-finished blended ore. The semi-finished blended ore is transported to the target steel enterprise; The semi-finished ore is mixed with the various short-range raw materials; The demand target also includes the demand address. Determine the simulated delivery route based on the target demand address and the port delivery address; The preset particle size range is determined based on the simulated supply route; The near-field raw materials are various simulated iron ore raw materials whose proportion of the preset particle size range is less than the preset threshold.

2. The port-based two-stage blending ore production method according to claim 1, characterized in that, Obtain the total number of simulated iron ore raw materials corresponding to the simulated production formula. Obtain the total number of premix tanks, including remote and local premix tanks, wherein the remote premix tanks are located in the port mixing yard and the local premix tanks are located in the target steel enterprise. If the total number of varieties is not greater than the total number of premix tanks, obtain the total number of remote premix tanks; If the number of remote raw material varieties is greater than the total number of remote premix tanks, then the preset threshold is increased and the remote raw materials are updated.

3. The port-based two-stage blending ore production method according to claim 1, characterized in that, The step of "obtaining the target steel enterprise's blending iron ore demand target, the demand target including target demand components" specifically includes: Using various finished blended ores with different historical particle size ranges, historical transportation methods, and historical transportation mileage corresponding to the historical transportation methods as input parameters, and the degree of historical transportation segregation as the output parameter, a particle size distribution transportation segregation model for finished blended ores is established using machine learning methods. Obtain the target demand address and port supply address of the target steel company to determine the simulated supply route; Based on the simulated supply route and the particle size distribution transport segregation model, the transport particle size range of the finished blended ore with a transport segregation degree within a preset segregation degree range is obtained.

4. The port-based two-stage blending ore production method according to claim 2, characterized in that, It also includes the following steps: If the total number of varieties is not greater than the total number of premix tanks, obtain the total number of near-field premix tanks; If the quantity of the near-field raw materials is greater than the total quantity of the near-field premix tanks, then the preset threshold is reduced and the remote raw materials are updated.

5. The port-based two-stage blending ore production method according to claim 1, characterized in that, Predict the estimated transportation environment along the transportation route during the transportation period; If the estimated transportation environment is a poor environment, then the range of the preset particle size range is reduced.

6. The port-based two-stage blending ore production method according to claim 1, characterized in that, The preset particle size range is 3 to 10 millimeters.

7. A port-based two-stage blending ore production system, characterized in that, The two-stage blending ore production method according to any one of claims 1-6 includes: Acquisition module: used to acquire the target blending ore demand of the target steel enterprise, the target demand includes the target demand components; Formula generation module: used to obtain simulated production formulas based on the target required components, and to determine various simulated iron ore raw materials based on the simulated production formulas; A two-stage blending ore production module is used to: acquire the particle size attributes of each of the simulated iron ore raw materials, including the percentage of each simulated iron ore raw material within a preset particle size range; identify simulated iron ore raw materials whose percentage of the preset particle size range is greater than a preset threshold as remote raw materials and acquire near-range raw materials, wherein the simulated production formula is formed by combining the near-range raw materials and the remote raw materials; blend the various remote raw materials in a port blending yard to form a semi-finished blended ore; and transport the semi-finished blended ore to the target steel enterprise.

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