A method for evaluating a supply of a port mixing yard, a supply method and a supply system

Abstract

The application provides a method for evaluating the supply of a port mixed material yard, a supply method and a supply system. The method comprises the following steps: obtaining a unit mileage influence factor of transporting mixed ore to a steel enterprise by each port and a transportation mileage, combining a formula to calculate a mixed ore transportation segregation degree influence factor, and taking the mixed ore transportation segregation degree influence factor as a quality evaluation element of the mixed ore, so as to select a port mixed material yard from each port. In this way, each steel enterprise can obtain the mixed ore meeting the demand without establishing a special mixed material yard.

Description

Technical Field

[0001] This invention relates to the field of sintering technology, and in particular to a method for evaluating the supply of materials in a port mixing yard, a method for supplying materials, and a system for supplying materials. 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 impact of transportation on the segregation of port blended ore during the process of transporting it from the port blending yard to the target steel enterprise has not been studied. This results in the quality of the fully mixed port blended ore being reduced after being transported to the target steel enterprise due to particle size segregation during transportation. The larger the particle size segregation during transportation, the worse the uniformity of the port blended ore after being transported to the target steel enterprise. Summary of the Invention

[0006] The feeding evaluation method for port blending yards provided by this invention solves the technical problem that existing methods do not consider the impact of transport particle size segregation on port blending ore, resulting in poor blending and reduced sintering quality of port blending ore that is fully mixed at the feeding port after being transported to the target steel enterprise.

[0007] The first aspect of this invention provides a method for evaluating the supply of materials to a port mixing yard, comprising the following steps:

[0008] Obtain transportation route information between the target steel company and each proposed supply port. This information includes the mode of transport and the corresponding distance for each mode. Modes of transport include shipping, rail, and road transport; road transport can be either high-grade or low-grade. A formula is used... The influence factor H of the segregation degree during the transportation of mixed ore was calculated, where Kn is the influence factor per unit mileage corresponding to the nth transportation mode, and Sn is the transportation mileage corresponding to the nth transportation mode.

[0009] In one implementation, the material supply method for the port blending yard further includes, before the step of calculating the influence factor of the degree of segregation during the transport of blended ore, the following steps are taken: obtaining the target demand components of the target steel enterprise; determining the simulated production formula of the port to be supplied with materials based on the target demand components; obtaining simulated blended materials based on the simulated production formula; obtaining the unit mileage influence factor of the simulated blended materials when transported by sea; obtaining the unit mileage influence factor of the simulated blended materials when transported by rail; and obtaining the unit mileage influence factor of the simulated production formula when transported by road.

[0010] In one implementation, the material supply method for the port blending yard further includes: obtaining a simulated production formula based on the target steel enterprise's target demand composition; obtaining the port production formula for each blending port; matching the port production formula with the simulated production formula; and marking the blending port whose port production formula matches the simulated production formula as the intended supply port.

[0011] In one implementation, the material supply method for the port mixing yard also includes: obtaining transportation route information between the target steel enterprise and each port to be supplied with materials based on map information.

[0012] In one implementation, the material supply method for the port blending yard further includes: obtaining the unit mileage impact factor of the simulated blended material under shipping mode by calling an experimental database; obtaining the unit mileage impact factor of the simulated blended material under shipping mode using a neural network algorithm; obtaining the unit mileage impact factor of the simulated blended material under shipping mode by calling an experimental database and using a neural network algorithm; obtaining the unit mileage impact factor of the simulated blended material under rail transport mode by calling an experimental database; obtaining the unit mileage impact factor of the simulated blended material under rail transport mode using a neural network algorithm; obtaining the unit mileage impact factor of the simulated blended material under rail transport mode by calling an experimental database and using a neural network algorithm; obtaining the unit mileage impact factor of the simulated blended material under road transport mode by calling an experimental database; obtaining the unit mileage impact factor of the simulated blended material under road transport mode using a neural network algorithm; and obtaining the unit mileage impact factor of the simulated blended material under road transport mode by calling an experimental database and using a neural network algorithm.

[0013] In one implementation, the material supply method for the port blending yard further includes: obtaining the unit mileage influence factor of the simulated blended material when transported by high-grade highways and the unit mileage influence factor of the simulated blended material when transported by low-grade highways.

[0014] This invention also provides a method for supplying materials to a port blending yard. The method, using the aforementioned evaluation method for the supply of materials to a port blending yard, yields an influencing factor on the degree of segregation during the transport of blended ore. The method includes the following steps: obtaining the target demand weight of the target steel enterprise and the unit supply price for each proposed supplying port to the target steel enterprise, where the unit supply price includes transportation costs, production costs, and target profit; obtaining the simulated transportation time for each proposed supplying port to the target steel enterprise; obtaining the estimated quality impact coefficient for each proposed supplying port transporting blended ore to the target steel enterprise; wherein the unit price can be calculated using formula 3; and based on the preset price impact... The secondary cost (considering all costs) is determined by coefficients and preset quality impact coefficients. The proposed supply ports are prioritized according to the secondary cost (considering all costs) from low to high, and backup supply ports are obtained based on the corresponding supply priorities. The preset price impact coefficient and preset quality impact coefficient are both at least 1. The supply capacity of each backup port is obtained. Each backup supply port is iterated through according to its supply priority until the combined supply output of multiple backup supply ports reaches the target required weight, generating a combined order. The combined order includes multiple supply task orders. The supply task orders are then sent to the corresponding backup supply ports.

[0015] In one implementation, the material supply method for the port mixing yard further includes: obtaining the current production status of the standby material supply port with the material supply task order; if the current production status of the standby material supply port with the material supply task order is abnormal, obtaining the standby material supply port corresponding to the abnormal status as the abnormal material supply port; obtaining the unsupplied weight of the abnormal material supply port; updating the unsupplied weight to the target demand weight, and proceeding to step 201.

[0016] In one implementation, the material supply method of the port blending yard further includes: obtaining the target quality requirement of the target steel enterprise, the target quality requirement includes high-quality blended ore; step S202 specifically means: if the target quality requirement is high-quality blended ore, then the preset price influence coefficient is 1.

[0017] In one implementation, the present invention provides a feeding system for a port mixing yard, comprising:

[0018] The production planning module is used to obtain the target demand weight of the target steel enterprise and the unit supply price of each proposed supply port for the target steel enterprise; and to obtain the estimated supply quality based on the influence factor H of the degree of segregation in the transportation of blended ore and the transportation route information. The transportation particle size segregation module is used to determine the secondary cost based on the preset price influence coefficient and the preset quality influence coefficient, to prioritize the proposed supply ports according to the secondary cost from low to high, and to obtain backup supply ports according to the corresponding supply priority. The order module is used to traverse each of the backup supply ports according to the supply priority until the combined supply output of multiple backup supply ports reaches the target demand weight, and to generate a combined order, which includes multiple supply task orders. The output module is used to send the supply task orders to the corresponding backup supply ports.

[0019] Beneficial effects:

[0020] The technical solution provided by this invention fully considers the impact of transportation on particle size segregation of the blended ore during the process of conveying the port-sourced blended material to the target steel enterprise, providing a decision-making reference for the target steel enterprise in selecting the port of source. This is achieved by employing a formula... The influence factor H of the degree of segregation during the transportation of blended ore is obtained, where Kn is the influence factor per unit mileage corresponding to the nth transportation mode, and Sn is the transportation mileage corresponding to the nth transportation mode. This facilitates the use of the influence factor of the degree of segregation during the transportation of blended ore as an evaluation element for the supply evaluation of port blending yards, enabling steel companies to better select supply ports. The technical solution provided by this invention guides target steel companies to select suitable supply ports based on the influence factor of the degree of segregation during the transportation of blended ore, avoiding the situation where fine particles in the blended ore, which is composed of different minerals of different particle sizes, sink to the bottom of the transport container and accumulate due to vibration factors during transportation, thus affecting the quality of the blended ore; and reducing the secondary costs of target steel companies. Attached Figure Description

[0021] To more clearly illustrate the technical solution of the present invention, the drawings used in the embodiments will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of a blending ore production process provided in an embodiment of the present invention;

[0023] Figure 2 A schematic diagram of the particle size distribution of the blended ore after mixing at the port.

[0024] 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 company.

[0025] Figure 4 A schematic diagram of a material supply method for a port mixing yard provided in an embodiment of the present invention;

[0026] Figure 5 A schematic diagram of a material supply method for a port mixing yard, provided for another embodiment of the present invention;

[0027] Figure 6 This is a schematic diagram of a material supply system for a port mixing yard provided by the present invention. Detailed Implementation

[0028] To more clearly illustrate the blending ore production process provided in the embodiments of the present invention, the blending ore production process of the port blending yard will be explained first.

[0029] like Figure 1 As shown, the production process of blended ore is as follows:

[0030] (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.

[0031] (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 13 mixing tanks, which means that up to 13 different iron ores can be mixed.

[0032] (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.

[0033] (4) The metering system sends the prepared raw materials to the vertical high-intensity mixer, which uses a high-speed rotating agitator to achieve deep mixing of the raw materials.

[0034] (5) The well-mixed materials are transported to the port for storage or to the target user.

[0035] like Figure 1 As shown, the chemical composition and price of the various raw materials in each batching tank are known quantities. The iron content (TFe) of the blended ore exiting the high-intensity mixer can be calculated using the following formula:

[0036]

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

[0038] The SiO2 content TSi of the homogenized ore from the high-intensity mixer can be calculated using the following formula:

[0039]

[0040] Where: TSiN is the percentage of SiO2 content in the iron ore of the Nth blending tank, and N is a positive integer less than or equal to the total number of blending tanks; GN is the blending flow rate of the iron ore in the Nth blending tank; unit: t / min; G: total blending flow rate of all blending tanks, unit: t / min

[0041] The cost P of the blended ore from the high-intensity mixer can be calculated using the following formula:

[0042]

[0043] 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 electricity consumption and machinery depreciation in the production cost. For example, K can be taken as 1.05 to 1.1; PN: the unit price of iron ore in the Nth blending tank, unit: yuan / t; GN is the blending flow rate of iron ore in the Nth blending tank, unit: t / min; G is the total blending flow rate of all blending tanks, unit: t / min.

[0044] 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.

[0045] Table 1: Production Formula Table for Port Mixing Yard

[0046]

[0047] like Figure 1 As shown, various minerals are mixed to produce blended ore. Blended ore production is a physical mixing process. The most important control parameter in the blended ore production process is to maintain a stable flow ratio of each mineral during production.

[0048] 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, so the production formula can be generated in advance. Different production formulas result in different blending 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 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, the existing production formula of each port blending yard is the executable production formula of each port blending yard.

[0049] 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 in bulk, 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.

[0050] This invention provides a method for evaluating the supply of materials to a port blending yard. See [link to relevant documentation]. Figure 4 This is a schematic diagram of a material supply method for a port blending yard provided by an embodiment of the present invention. A material supply evaluation method for a port blending yard includes the following steps:

[0051] S101, Obtain the transportation route information between the target steel enterprise and each proposed supply port. The transportation route information includes the transportation mode and the transportation distance corresponding to each transportation mode. The transportation mode includes at least one of shipping, rail and road transportation.

[0052] Understandably, in this invention, the port of origin that supplies materials whose composition meets the target requirements of the target steel enterprise is designated as the port of origin for supply. Specifically, a simulated production formula is obtained based on the target requirements of the target steel enterprise; the port production formulas for each mixing port are obtained; the port production formulas are matched with the simulated production formulas; and the mixing ports whose port production formulas meet the simulated production formulas are marked as the ports of origin for supply.

[0053] Understandably, it is necessary to determine the transportation route information of the blended material after mixing at the proposed supply port, taking into account the geographical environment of the target steel enterprise and the proposed supply port. The transportation mode can be rail, sea, or road transport. Optionally, this invention can obtain the transportation route information between the target steel enterprise and each proposed supply port based on map information using port addresses and the target steel enterprise's target demand address; alternatively, it can plan transportation routes by combining port addresses and the target steel enterprise's target demand address with big data, artificial intelligence, or worker experience. The transportation route information includes the transportation mode and the transportation mileage for each mode, thereby determining the simulated transportation time for each proposed supply port to supply the target steel enterprise. Optionally, the transportation mode can be at least one of water transport, rail transport, and road transport. If the transportation mode includes two or more different modes, the impact of the conversion process is not considered.

[0054] Specifically, if the target steel company is located inland near a transshipment port, the blended material from the intended supply port can be transported by sea to a transshipment port closer to the target steel company, and then transported by rail from the transshipment port to the target steel company. If the target steel company is located inland far from a transshipment port, the blended material from the intended supply port can be transported by rail to a road transport intermediate station closer to the target steel company, and then transported by road from the road transport intermediate station to the target steel company.

[0055] S102, using formula The influence factor H of the segregation degree during the transportation of mixed ore was calculated, where Kn is the influence factor per unit mileage corresponding to the nth transportation mode, and Sn is the transportation mileage corresponding to the nth transportation mode.

[0056] Optionally, in this embodiment, shipping is set as the first mode of transportation, rail transport as the second mode of transportation, and road transport as the third mode of transportation.

[0057] Understandably, due to the influence of transport particle size segregation, the uniformity of the port-mixed ore, which is completely mixed at the port, may deteriorate after being transported to the target steel enterprise, leading to poor sintering results. In this invention, the larger the transport segregation influence factor H, the greater the transport particle size segregation, indicating a poorer uniformity of the port-mixed ore after being transported to the target steel enterprise. When the uniformity of the port-mixed ore after being transported to the target steel enterprise reaches a certain warning threshold, it is necessary to remix the port-mixed ore at the target steel enterprise, which will increase the secondary costs of the target steel enterprise.

[0058] Understandably, in practical applications, the biggest difference between producing blended ore at a port and producing it at a steel mill is that port production is a distant process, while blended ore needs to be transported to the steel mill. Blended ore is composed of raw materials from various sources and of different qualities, each naturally exhibiting particle size differences. The particle size distribution of blended ore is a crucial physical indicator of its quality, directly impacting its sintering performance. Research indicates that suitable particle size distributions for sintering mixtures are: less than 15% for 0-3mm particles, 50%-60% for 3-5mm particles, less than 30% for 5-10mm particles, and no more than 10% for particles larger than 10mm. A better particle size distribution is one where the content is minimized to 15%. Therefore, the particle size distribution of sintering mixtures is primarily influenced by the particle size of the blended material and the granulation effect. Lower fine particle content in the blended ore results in better raw material granulation performance, which improves the permeability of the sintering mixture and is beneficial to the sintering process.

[0059] Optionally, therefore, the formula is used based on the particle size range of the blended ore. The influence factor of the degree of segregation during transportation of blended ore can be calculated. Using the influence factor of the degree of segregation during transportation of blended ore as a quality evaluation element of blended ore can help steel companies select suitable ports of origin that meet transportation conditions.

[0060] Furthermore, before step S102, the method includes: obtaining the target demand components of the target steel enterprise; determining the simulated production formula of the port to be supplied with materials based on the target demand components; obtaining the simulated blended material based on the simulated production formula; obtaining the unit mileage influence factor of the simulated blended material when transported by sea; obtaining the unit mileage influence factor of the simulated blended material when transported by rail; and obtaining the unit mileage influence factor of the simulated blended material when transported by road.

[0061] Optionally, in this embodiment, the unit mileage influence factor of the simulated blended material under shipping mode can be obtained by a transportation segregation model established by a neural network algorithm; alternatively, the unit mileage influence factor of the simulated blended material under shipping mode can be obtained by a transportation segregation model established by simulation.

[0062] Specifically, different steel companies have different requirements for blended ore. Port blending yards can provide a certain amount of blended ore based on their own production capacity. Each port blending yard can provide a certain type of blended ore, meaning there are multiple port production formulas. By matching the obtained port production formula with the simulated production formula, simulated blended material is obtained. Then, the unit mileage impact factor of blended ore transportation by sea, rail, and road is calculated, and the influence factor H of the degree of segregation in blended ore transportation is obtained as an evaluation coefficient, which helps steel companies select the port to be supplied with materials.

[0063] Furthermore, the weather conditions for a specific transportation route are predicted. If the weather conditions for a particular transportation route are poor, the influence factor H of the degree of segregation during the transportation of mixed ore for that route is increased by 1.02 to 1.3 times. Because there are many uncontrollable factors in the transportation process, and the weather conditions have different degrees of influence on different modes of transportation—for example, water transport is more affected by typhoons, rainy seasons, and snowy seasons, making it more prone to transport particle size segregation—furthermore, this process is crucial.

[0064] Furthermore, the material supply method for the port blending yard also includes: calling a first experimental database to obtain the unit mileage impact factor of the simulated blended material in shipping mode; or obtaining the unit mileage impact factor of the simulated blended material in shipping mode according to a first neural network algorithm; or obtaining the unit mileage impact factor of the simulated blended material in shipping mode by calling the first experimental database and according to the first neural network algorithm; calling a second experimental database to obtain the unit mileage impact factor of the simulated blended material in rail transport mode; or obtaining the unit mileage impact factor of the simulated blended material in rail transport mode according to a second neural network algorithm; or obtaining the unit mileage impact factor of the simulated blended material in rail transport mode by calling the second experimental database and according to the second neural network algorithm; calling a third experimental database to obtain the unit mileage impact factor of the simulated blended material in road transport mode; or obtaining the unit mileage impact factor of the simulated blended material in road transport mode according to a third neural network algorithm; or obtaining the unit mileage impact factor of the simulated blended material in road transport mode by calling the third experimental database and according to the third neural network algorithm.

[0065] Optionally, in this invention, each mode of transportation has a corresponding unit mileage impact factor. This unit mileage impact factor can be obtained through experiments, simulations, or specific algorithms, such as neural network algorithms. Alternatively, it can be obtained by accessing historical experimental data in an experimental database and simulating using a neural network algorithm. For example, for blended ore produced at port B, if at least one of the following transportation methods—ship, train, or truck—is chosen to transport it to steel company B, the unit mileage impact factors for ship transportation, train transportation, and truck transportation can be obtained by accessing an experimental database or using a neural network algorithm, thus providing the steel company with the optimal transportation method.

[0066] Specifically, if a neural network algorithm is used to obtain the unit mileage impact factor of ship transportation, various finished blended ores with different historical particle size ranges, historical ship transportation methods, and historical transportation mileage corresponding to historical ship transportation methods can be used as input data, and the historical unit mileage impact factor can be used as the output result. This will accurately obtain the unit mileage impact factor of ship transportation, making it easier for target steel companies to select the optimal transportation method according to their own target needs.

[0067] Furthermore, road transport modes include high-grade road transport and low-grade road transport. The step "obtaining the unit mileage influence factor of the simulated blended material under different road transport modes" specifically includes: obtaining the unit mileage influence factor of the simulated blended material under high-grade road transport and obtaining the unit mileage influence factor of the simulated blended material under low-grade road transport. Understandably, since road transport modes are classified into different grades based on road conditions—for example, roads with good conditions or expressways can be classified as high-grade road transport—it is necessary to obtain the unit mileage influence factor of the simulated blended material under high-grade road transport to facilitate the target steel company in selecting the optimal transport mode; similarly, roads with damaged surfaces or ordinary roads can be classified as low-grade road transport, so it is necessary to obtain the unit mileage influence factor of the simulated blended material under low-grade road transport to facilitate the target steel company in selecting a more optimal transport mode.

[0068] Please see Figure 5 The present invention also provides a method for supplying materials to a port blending yard, which adopts the above-mentioned factor affecting the degree of segregation during the transport of blended ore, and includes the following steps:

[0069] S201: Obtain the target demand weight of the target steel enterprise and the unit supply price of each proposed supply port for the target steel enterprise; obtain the estimated supply quality based on the influence factor H of the degree of segregation during the transportation of blended ore and the transportation route information.

[0070] S202, determine the secondary cost based on the preset price influence coefficient and the preset quality influence coefficient, sort the supply priority of the proposed supply ports according to the secondary cost from low to high, and obtain the backup supply ports according to the corresponding supply priority. The preset price influence coefficient and the preset quality influence coefficient are at least 1.

[0071] S203, obtain the supply capacity of each backup port;

[0072] S204: Based on the material supply priority, iterate through each backup material supply port until the combined material supply output of multiple backup material supply ports reaches the target required weight, and generate a combined order. The combined order includes multiple material supply task orders.

[0073] S205 sends the material supply task order to the corresponding backup material supply port.

[0074] Alternatively, the unit supply price can also be calculated using Formula 3.

[0075] Understandably, the secondary cost PJ is calculated using the formula PJ = Zk * Yk * P based on the preset price influence coefficient and the preset quality influence coefficient, where Zk is the preset quality influence coefficient, Yk is the preset price influence coefficient, P is the unit supply price, J is any target steel company, and k is any port to be supplied with materials.

[0076] Understandably, considering that the demand of Steel Company A can be met by multiple ports simultaneously, it is necessary to prioritize the supply from each port. After the blended ore is produced at the port, factors such as vibration during transportation will cause fine particles in the blended ore to fall into the bottom of the transport container through the pores between large particles and accumulate, thus leading to a decrease in the quality of the blended ore (i.e., particle segregation). Therefore, segregation is related to the intensity and duration of vibration during transportation. The price impact coefficient is the most important factor influencing the ordering decision.

[0077] In actual production, P1 is the unit material supply price provided by backup supply port 1 to the target steel enterprise; P2 is the unit material supply price provided by backup supply port 2 to the target steel enterprise; P3 is the unit material supply price provided by backup supply port 3 to the target steel enterprise; and Pm is the unit material supply price provided by backup supply port m to the target steel enterprise.

[0078] Understandably, if the target steel company has ideal feed quality (particle size segregation no greater than α), Zk is the preset quality influence coefficient of the target steel company. The closer the preset quality influence coefficient is to 1, the lower the quality requirement of the ideal feed quality (the greater the allowable deviation of particle size segregation). In this embodiment, the preset quality influence coefficient can be defined according to the actual needs of the target steel company. The preset quality influence coefficient can be 1, or other values ​​such as 1.2 or 1.3. If the preset quality influence coefficient is equal to 1, it means that the target steel company has a low requirement for particle size segregation (allowing the maximum particle size segregation, i.e., not considering particle size segregation). The larger the preset quality influence coefficient, the higher the requirement for particle size segregation of the target steel company (i.e., the smaller the segregation of the blended ore reaching the steel company).

[0079] It should be noted that if the particle size segregation of the blended ore is greater, it indicates that the transportation has a greater impact on the quality of the blended ore. The target steel company may re-blend the ore after it arrives on site, which increases the potential risk for the target steel company that needs to maintain continuous production. Therefore, the estimated supply quality can be converted into secondary costs.

[0080] Understandably, if the target steel company has an ideal supply price (the unit price is no higher than β), Yk is the preset price influence coefficient of the target steel company. The closer the preset price influence coefficient is to 1, the lower the price requirement of the ideal supply price (the larger the allowable price deviation). In this embodiment, the preset price influence coefficient can be defined according to the actual needs of the target steel company. The price influence coefficient can be 1, or other values ​​such as 1.05 or 1.4. If the price influence coefficient is equal to 1, it means that the influence of price is not considered.

[0081] It should be noted that if the price quoted at the supply port is higher, the price of the finished blended ore will be more affected, and the production cost of the target steel company will increase. Therefore, the unit supply price can be converted into secondary cost.

[0082] Understandably, the present invention converts both the preset quality influence coefficient and the preset price influence coefficient into secondary costs.

[0083] Furthermore, the material supply method for the port mixing yard also includes: S206, obtaining the current production status of the standby material supply port with material supply task orders; S207, if the current production status of the standby material supply port with material supply task orders is abnormal, obtaining the standby material supply port corresponding to the abnormal status as the abnormal material supply port; S208, obtaining the unsupplied weight of the abnormal material supply port; S209, updating the unsupplied weight to the target demand weight, and proceeding to step S201.

[0084] In actual production, during the process of producing the target required weight according to the target steel company's production formula at the backup supply port, abnormal interruptions (such as transportation line interruptions, port equipment failures, or natural disasters) may occur, causing the target steel company's material supply to be unable to be completed smoothly. Therefore, the backup supply port is set as the abnormal supply port, and the unsupplied weight of the abnormal supply port is obtained and updated to the target required weight, and the process returns to step S201. By modifying the supply strategy in a timely manner after an unexpected supply incident, the needs of the target steel company are guaranteed.

[0085] Furthermore, the supply method for the port blending yard also includes: obtaining the target quality requirements of the target steel enterprise, including high-quality blended ore; if the target quality requirements are high-quality blended ore, the preset price influence coefficient is 1.

[0086] Understandably, the target quality requirement includes high-quality blended ore, as well as low-quality and medium-quality blended ore. If the target quality requirement is high-quality blended ore, then considering the preset quality influence coefficient, there is no need to consider the preset price influence coefficient, so the preset price influence coefficient is 1. Steel companies can also choose the preferred option based on their actual situation. If the target quality requirement is medium-quality blended ore, either the preset quality influence coefficient or the preset price influence coefficient can be considered, or both can be considered. If the target quality requirement is low-quality blended ore, then only the preset price influence coefficient needs to be considered, and the preset quality influence coefficient is not needed, so the preset quality influence coefficient is 1.

[0087] The present invention provides a specific implementation method as follows:

[0088] In this embodiment, based on the transportation method and transportation time of the port of origin, the formula is used. The influence factor of the degree of segregation during the transportation of blended ore is calculated. By analyzing the transport particle size segregation, the supply port can be obtained, allowing the target steel company to select the appropriate supply port based on its actual needs. For example, if the transportation route from port 1 to the target steel company includes 500 km by water and 400 km by rail, with a transportation time of 20 days, the influence factor of the degree of segregation during water transport can be calculated based on the water transport distance of 500 km and the water transport unit mileage factor Kn (which can be obtained through historical data or experiments). Similarly, the influence factor of the degree of segregation during rail transport can be calculated based on the rail transport distance of 400 km and the rail transport unit mileage factor Kn (which can be obtained through historical data or experiments).

[0089] The proposed supply port 2's transportation route for the target steel enterprise includes 400 km by water and 600 km by rail, with a transportation time of 22 days. The influence factor on the degree of segregation during water transport of the blended ore can be calculated based on the water transport distance of 400 km and the water transport unit mileage factor Kn (obtainable through historical data or experiments). Similarly, the influence factor on the degree of segregation during rail transport of the blended ore can be calculated based on the rail transport distance of 600 km and the rail transport unit mileage factor Kn (obtainable through historical data or experiments).

[0090] The proposed supply port 3 will be used for the transportation of raw materials to the target steel enterprise via a route that includes 500 km by water and 400 km by rail, with a transportation time of 21 days. The segregation factor of the mixed ore transported by water can be calculated based on the 500 km water transport distance and the unit mileage factor Kn (which can be obtained through historical data or experiments). Similarly, the segregation factor of the mixed ore transported by rail can be calculated based on the 400 km rail transport distance and the unit mileage factor Kn (which can be obtained through historical data or experiments).

[0091] The proposed supply port M has a transportation route for supplying materials to the target steel enterprise, including 2000 km by waterway and 500 km by road, with a transportation time of 50 days. The influence factor of the degree of segregation of the mixed ore transported by waterway can be calculated based on the waterway mileage of 2000 km and the waterway unit mileage factor Kn (which can be obtained through historical data or experiments). Similarly, the influence factor of the degree of segregation of the mixed ore transported by road can be calculated based on the roadway mileage of 500 km and the roadway unit mileage factor Kn (which can be obtained through historical data or experiments).

[0092] Please see Figure 6 This invention provides a material supply system for a port blending yard, comprising: a production planning module: used to obtain the target demand weight of the target steel enterprise and the unit supply price of each proposed supply port to the target steel enterprise; and to obtain the estimated supply quality based on the influence factor H of the degree of transport segregation of blended ore and the transport route information; a transport particle size segregation module: used to determine the secondary cost based on the preset price influence coefficient and the preset quality influence coefficient, to prioritize the proposed supply ports according to the secondary cost from low to high, and to obtain backup supply ports according to the corresponding supply priority; an order module: used to traverse each backup supply port according to the supply priority until the combined supply output of multiple backup supply ports reaches the target demand weight, and to generate a combined order, which includes multiple supply task orders; and an output module: used to send the supply task orders to the corresponding backup supply ports.

[0093] As can be seen from the above technical solutions, the material supply method and system for a port blending yard provided by the embodiments of the present invention obtains the required weight of blending ore for the corresponding steel enterprise and the simulated transportation time for each proposed supply port to supply the target steel enterprise. Secondary costs are determined based on preset price influence coefficients and preset quality influence coefficients. The proposed supply ports are prioritized according to the secondary costs from low to high, and backup supply ports are obtained based on the corresponding supply priorities. Each backup supply port is traversed according to the supply priorities until the combined supply output of multiple backup supply ports reaches the target required weight, generating a combined order. The combined order includes multiple supply task orders, which are then sent to the corresponding backup supply ports. Through this method, each steel enterprise can obtain blending ore that meets its needs without having to establish its own dedicated blending yard.

[0094] The present invention 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 invention. Those skilled in the art will understand that various equivalent substitutions, modifications, or improvements can be made to the technical solutions and embodiments of the present invention without departing from the spirit and scope of the invention, and all such modifications and improvements fall within the scope of the present invention. The scope of protection of the present invention is defined by the appended claims.

Claims

1. A method for evaluating the supply of materials to a port mixing yard, characterized in that, Includes the following steps: S101, Obtain the transportation route information between the target steel enterprise and each proposed supply port. The transportation route information includes the transportation mode and the transportation distance corresponding to each transportation mode. The transportation mode includes at least one of shipping, rail and road transportation. S102, using formula The influencing factor of the degree of segregation during transport of blended ore was calculated. ,in, For the first The unit mileage impact factor corresponding to each mode of transportation For the first The transportation mileage corresponding to each mode of transportation.

2. The method for evaluating the supply of materials to a port mixing yard according to claim 1, characterized in that, The step preceding step S102 includes: Obtain the target demand components of the target steel enterprise; Determine the simulated production formula for the port of origin based on the target required components; obtain the simulated mixed material based on the simulated production formula; Obtain the unit mileage influence factor of the simulated blended material when transported by sea; obtain the unit mileage influence factor of the simulated blended material when transported by rail; obtain the unit mileage influence factor of the simulated blended material when transported by road.

3. The method for evaluating the supply of materials to a port mixing yard according to claim 1, characterized in that, It also includes the step of: obtaining a simulated production formula based on the target demand components of the target steel enterprise; Obtain the port production formula for each mixing port, match the port production formula with the simulated production formula, and mark the mixing port whose port production formula matches the simulated production formula as the proposed supply port.

4. The method for evaluating the supply of materials to a port mixing yard according to claim 1, characterized in that, Obtain transportation route information between the target steel company and each port where materials are to be supplied, based on map information.

5. The method for evaluating the supply of materials to a port mixing yard according to claim 2, characterized in that, The system can either call the first experimental database to obtain the unit mileage influence factor of the simulated homogenized material under shipping mode; or obtain the unit mileage influence factor of the simulated homogenized material under shipping mode according to the first neural network algorithm; or call the first experimental database and obtain the unit mileage influence factor of the simulated homogenized material under shipping mode according to the first neural network algorithm. The system can either call the second experimental database to obtain the unit mileage influence factor of the simulated mixed material under railway transportation mode; or obtain the unit mileage influence factor of the simulated mixed material under railway transportation mode according to the second neural network algorithm; or call the second experimental database and obtain the unit mileage influence factor of the simulated mixed material under railway transportation mode according to the second neural network algorithm. The method involves either calling the third experimental database to obtain the unit mileage impact factor of the simulated homogenized material under highway transportation mode, or using the third neural network algorithm to obtain the unit mileage impact factor of the simulated homogenized material under highway transportation mode, or using both the third experimental database and the third neural network algorithm to obtain the unit mileage impact factor of the simulated homogenized material under highway transportation mode.

6. The method for evaluating the supply of materials to a port mixing yard according to claim 2, characterized in that, The road transport modes include high-grade road transport and low-grade road transport. The step "obtaining the unit mileage influence factor of the simulated mixed material under highway transportation mode" specifically includes: obtaining the unit mileage influence factor of the simulated mixed material under the high-grade highway transportation mode and obtaining the unit mileage influence factor of the simulated mixed material under the low-grade highway transportation mode.

7. A method for feeding materials into a port mixing yard, characterized in that, The method for evaluating the supply of materials to a port blending yard as described in any one of claims 1 to 6, which yields the influence factor on the degree of segregation during the transport of blended ore, comprises the following steps: S201, obtain the target demand weight of the target steel enterprise and the unit supply price of each proposed supply port for the target steel enterprise; obtain the estimated supply quality based on the influence factor H of the degree of segregation during the transportation of blended ore and the transportation route information. S202, determine the secondary cost based on the preset price influence coefficient and the preset quality influence coefficient, sort the proposed supply ports according to the secondary cost from low to high, and obtain the backup supply ports according to the corresponding supply priority, wherein the preset price influence coefficient and the preset quality influence coefficient are at least 1. S203, Obtain the supply capacity of each of the backup supply ports; S204, according to the material supply priority, traverse each of the backup material supply ports until the combined material supply output of multiple backup material supply ports reaches the target required weight, and generate a combined order, the combined order including multiple material supply task orders. S205, the material supply task order is sent to the corresponding backup material supply port.

8. The feeding method for a port mixing yard according to claim 7, characterized in that, It also includes the following steps: S206, Obtain the current production status of the standby supply port with the supply task order; S207, if the current production status of the backup supply port with the supply task order is abnormal, obtain the backup supply port corresponding to the abnormal status as the abnormal supply port. S208, Obtain the weight of the material shortage that has not yet been supplied by the abnormal supply port; S209, update the shortfall weight to the target required weight, and proceed to step 201.

9. A method for feeding materials into a port mixing yard according to claim 7, characterized in that, It also includes the following steps: Obtain the target quality requirement of the target steel enterprise, wherein the target quality requirement includes high-quality blended ore; if the target quality requirement is high-quality blended ore, then the preset price influence coefficient is 1.

10. A feeding system for a port mixing yard, characterized in that, include: Production planning module: used to obtain the target demand weight of the target steel enterprise and the unit supply price of each proposed supply port for the target steel enterprise; The estimated feed quality is obtained based on the influence factor H of the degree of segregation during the transport of the blended ore and the transport route information; the formula is used. The influencing factor of the degree of segregation during transport of blended ore was calculated. ,in, For the first The unit mileage impact factor corresponding to each mode of transportation For the first The transportation mileage corresponding to each mode of transportation; Transportation granularity segregation module: used to determine secondary costs based on preset price influence coefficients and preset quality influence coefficients, sort the proposed supply ports in order of increasing secondary costs, and obtain backup supply ports based on the corresponding supply priorities. Order module: used to traverse each of the backup material supply ports according to the material supply priority until the combined material supply output of multiple backup material supply ports reaches the target required weight, and generate a combined order, which includes multiple material supply task orders; Output module: Used to send the material supply task order to the corresponding backup material supply port.

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