CN117521987A - Mixed ore order distribution method and system based on port - Google Patents
Mixed ore order distribution method and system based on port Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 57
- 238000009826 distribution Methods 0.000 title claims abstract description 30
- 239000002994 raw material Substances 0.000 claims abstract description 150
- 238000002156 mixing Methods 0.000 claims abstract description 143
- 238000004519 manufacturing process Methods 0.000 claims abstract description 127
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims abstract description 115
- 229910000831 Steel Inorganic materials 0.000 claims abstract description 78
- 239000010959 steel Substances 0.000 claims abstract description 78
- 229910052742 iron Inorganic materials 0.000 claims abstract description 57
- 239000002245 particle Substances 0.000 claims abstract description 44
- 239000011265 semifinished product Substances 0.000 claims description 26
- 239000000047 product Substances 0.000 claims description 10
- 238000012545 processing Methods 0.000 claims description 4
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 238000005204 segregation Methods 0.000 abstract description 10
- 229910052500 inorganic mineral Inorganic materials 0.000 description 17
- 239000011707 mineral Substances 0.000 description 17
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- 238000005245 sintering Methods 0.000 description 15
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- 238000010586 diagram Methods 0.000 description 4
- 238000004088 simulation Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 229910004298 SiO 2 Inorganic materials 0.000 description 1
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000013590 bulk material Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
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- 238000009472 formulation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
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- 229910052710 silicon Inorganic materials 0.000 description 1
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- 238000006467 substitution reaction Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06315—Needs-based resource requirements planning or analysis
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- C—CHEMISTRY; METALLURGY
- C22—METALLURGY; FERROUS OR NON-FERROUS ALLOYS; TREATMENT OF ALLOYS OR NON-FERROUS METALS
- C22B—PRODUCTION AND REFINING OF METALS; PRETREATMENT OF RAW MATERIALS
- C22B1/00—Preliminary treatment of ores or scrap
- C22B1/14—Agglomerating; Briquetting; Binding; Granulating
- C22B1/16—Sintering; Agglomerating
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention provides a port-based blending ore order distribution method and a port-based blending ore order distribution system, which comprise the following steps: obtaining target demand components of a target steel enterprise; obtaining a simulated production formula according to the target demand components; determining various simulated iron ore raw materials according to a simulated production formula; obtaining a remote port formula in the simulated production formula, wherein remote raw materials in the remote port formula are simulated iron ore raw materials with particle sizes in a preset particle size range and the ratio of the particle sizes to the preset threshold value; acquiring a preselected feed port; a feed task order is sent to a preselected feed port that provides a semi-finished mixed ore. The port-based blending order distribution method solves the technical problems that the prior blending order distribution method does not consider the influence of transportation on segregation, so that the blending degree of the blending ore is poor and the blending ore quality is reduced after the blending ore reaches a target steel enterprise in a feeding port.
Description
Technical Field
The invention relates to the technical field of sintering, in particular to a port-based blended ore order distribution method and system.
Background
In the technical field of steel sintering, iron-containing raw materials (mainly various iron ores or other iron-containing raw materials) entering a sintering process have stable chemical components (mainly examined as SiO 2 And segregation degree of TFe), has great effect on stable and smooth production of sintering, cost reduction and synergy. In actual production, enterprises can establish own mixing material fields for ensuring the stability of the chemical components of iron ore in the sintering process, and after the iron-containing raw materials in different production places are uniformly mixed in the mixing material fields, mixed ores with stable chemical components are produced to be used as iron-containing raw materials (mixed ores) for sintering production.
The existing iron-containing raw material production, the sintering mixing stock ground generally adopts a secondary mixing process, a steel enterprise needs to be provided with a primary stock ground and a secondary stock ground, and the mixing flow is as follows: (1) stacking each iron-containing raw material entering a factory to a primary stock ground; (2) Conveying all the iron-containing raw materials to a pre-dosing tank for standby through a small belt; (3) The stacker/reclaimer stacks various iron-containing raw materials from the pre-proportioning tank layer by layer in a secondary material field to a set height; (4) And the stacking/reclaiming machine conveys the uniformly stacked and mixed mixture to a sintering process for use in a intercepting mode. The stock of the secondary stock yard generally meets the production requirements of steel enterprises for 6 to 7 days, the occupied area of the stock yard is large (the primary stock yard of a certain factory occupies 500m multiplied by 250m, and the secondary stock yard occupies 500m multiplied by 100 m), and the steel enterprises themselves adopt a secondary mixing process, so that the investment is high and the equipment is complex. In steel production, the operation rates of sintering and blast furnaces are above 0.9, the operation rates of a primary stock yard and a secondary stock yard are generally about 0.7, and the productivity of the primary stock yard and the secondary stock yard equipment is not fully utilized.
Moreover, the iron and steel enterprises themselves adopt a secondary mixing process, and the following defects are also caused: (1) The secondary material field material pile has a height of more than ten meters, the phenomenon of material collapse often occurs in rainy season due to open-air operation, and the mixing stacker and the mixing reclaimer belong to large material field equipment, and have high daily maintenance and overhaul cost, severe environment and high overhaul difficulty; (2) In the process of tiling interception, a secondary stock ground is provided with a uniformly mixed ore pile of about 10 ten thousand tons, and the production period is seven and eight days; (3) The production period is long, the traceability of chemical components of the mixture is poor, and silicon operation difficulties in the period and the like are large.
In the prior art, the segregation influence of transportation on port blending ores in the process that the port blending ores are transported to a target steel enterprise from a port blending stock yard is not researched, so that the quality of the blending ores is reduced due to segregation of transportation granularity after the completely mixed port blending ores are transported to the target steel enterprise.
Disclosure of Invention
The port-based blending ore production and distribution method solves the technical problem that the prior blending ore is poor in blending degree and reduced in blending ore quality after the blending ore reaches a target steel enterprise in a feeding port due to the fact that the influence of transportation on segregation is not considered.
The first aspect of the invention provides a port-based blending ore order distribution method, which comprises the following steps: obtaining a demand target of the mixed ore of a target steel enterprise, wherein the demand target comprises target demand components; obtaining a simulated production formula according to the target demand components; determining various simulated iron ore raw materials according to a simulated production formula; obtaining a remote port formula in the simulated production formula, wherein remote raw materials in the remote port formula are simulated iron ore raw materials with particle sizes in a preset particle size range and the ratio of the particle sizes to the preset threshold value; obtaining port production formulas of all mixing ports, matching the port production formulas with remote port formulas, and marking the mixing ports with the port production formulas conforming to the remote port formulas as preselected feeding ports; and sending a feeding task order for providing semi-finished product mixed ores to the preselected feeding ports, wherein the semi-finished product mixed ores are formed by uniformly mixing and processing raw materials in all remote port formulas in the corresponding preselected feeding ports.
Further, the demand targets also include target demand weights; the port-based blending order distribution method further comprises the following steps: and obtaining the semi-finished product demand weight of the semi-finished product mixed ore according to the target demand weight and the remote port formula.
Further, the port-based blending order distribution method further comprises the steps of: acquiring the number of remote premix tanks of each pre-selected feed port; judging whether the number of types of remote raw materials in the remote port formula is larger than the number of remote premix tanks; if the number of types of remote raw materials in the remote port recipe is greater than the number of remote premix tanks, the preset threshold is amplified and the remote raw materials in the remote port recipe are updated.
Further, the demand target also includes a target demand address; the port-based blending order distribution method further comprises the following steps: acquiring a transportation route according to a port address of a preselected feed port and a target demand address; predicting a predicted transportation environment in a transportation route in a transportation period; if the estimated transportation environment is a bad state environment, the range value of the preset particle size range is reduced, and the remote raw materials in the remote port formula are updated.
Further, the value of the preset particle size range is 3-10 mm.
Further, the method further comprises the steps of: the method comprises the steps of obtaining a short-range steel enterprise formula in a simulated production formula, wherein short-range raw materials in the short-range steel enterprise formula are other simulated iron ore raw materials except for all raw materials corresponding to a remote port formula, wherein all simulated iron ore raw materials corresponding to the simulated production formula; the method comprises the steps of obtaining port feed raw materials of each mixing port, matching the port feed raw materials with short-range raw materials in a short-range steel enterprise formula, and marking the mixing port capable of providing the short-range raw materials as an independent feed port; a mission order is sent to a preselected feed port to provide an independent stock, wherein the independent stock is a single stock in all of the short-range steel rabbet formulas.
Further, the method further comprises the steps of: obtaining the single raw material demand weight of each independent raw material according to the target demand weight and the short-range steel enterprise formula; acquiring the single product transportation distance of each single product raw material demand weight according to the port address and the target demand address of the independent feeding port; sequencing the feeding priorities of the independent feeding ports according to the sequence from near to far of the single product transportation distance, and obtaining independent ports to be fed according to the corresponding feeding priorities; and distributing the feeding task orders to the independent ports to be fed.
The invention also provides a port-based blending order distribution system, which comprises: the acquisition module is used for acquiring a mixed ore demand target of a target steel enterprise, wherein the demand target comprises target demand components; the formula generation module is used for obtaining a simulated production formula according to the target demand components and determining various simulated iron ore raw materials according to the simulated production formula; the port mixing field control module is used for acquiring a remote port formula in the simulated production formula, and the raw materials in the remote port formula are simulated iron ore raw materials with the particle size in a preset particle size range and the ratio of the particle size to the preset threshold value; the port production formula is used for obtaining port production formulas of all mixing ports, matching the port production formulas with remote port formulas, and marking the mixing ports with port production formulas conforming to the remote port formulas as preselected feeding ports; for sending a feed task order to a preselected feed port that provides a semi-finished mixed ore.
The beneficial effects are that:
according to the port-based blending order distribution method, part of blending production links (raw materials in a remote port formula are blended) are arranged in a port, blending mineral demand targets of target steel rabbets are obtained, the demand targets comprise target demand components, a simulated production formula is obtained according to the target demand components, various simulated iron ore raw materials are determined according to the simulated production formula, and then the simulated production formula is divided into a remote port formula and a short-range steel rabbet formula according to the particle size of each simulated iron ore raw material, wherein the raw materials in the remote port formula are simulated iron ore raw materials with the particle size within a preset particle size range and the ratio of the particle sizes not smaller than a preset threshold value, and the various remote raw materials are blended in the port to form semi-finished blended ores; marking a blending port with a port production formula conforming to a remote port formula as a preselected feed port; the invention provides a port-based blending order distribution method, which creatively provides a method for distributing a simulated production formula into a long-range port formula and a short-range steel rabbet formula, wherein each short-range raw material of the short-range steel rabbet formula is uniformly mixed with a semi-finished product blending to finally form a sintering blending material.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
Fig. 1 is a schematic diagram of a process flow of producing a blended ore according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a particle size distribution of a blended ore blended at a port;
FIG. 3 is a schematic view showing particle size distribution of the uniformly mixed ore in FIG. 2 after the uniformly mixed ore reaches a steel rabbet through transportation;
fig. 4 is a schematic flow chart of a method for distributing orders of mixed ores based on a port according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of a production flow of a semi-finished product blending ore produced by mixing at a remote port;
fig. 6 is a schematic diagram of a production flow of the semi-finished product mixed ore and short-range raw material mixed production in the target steel rabbet in fig. 5.
Detailed Description
In order to more clearly describe the production process of the mixed ore provided by the embodiment of the invention, the production process of the mixed ore of the port mixing field is first described.
As shown in fig. 1, the production process of the blended ore is as follows:
(1) After the ocean on-road raw materials enter a port, on one hand, iron-containing raw material varieties can be stacked to ports and docks, and on the other hand, the raw materials can be directly stirred into iron ore raw material proportioning tanks of corresponding varieties.
(2) The reclaimer conveys the raw materials of a plurality of varieties at a port and a dock to corresponding pre-proportioning tanks through a conveyor, the raw materials for uniform mixing ore production are various iron ores, as shown in fig. 1, a plurality of (e.g. 13) pre-proportioning tanks exist, namely, the condition that the raw materials can uniformly mix the various (e.g. 13) iron ores at most is indicated.
(3) The plurality of disc feeders respectively convey the corresponding raw materials in the pre-dosing tank to the metering system, and the plurality of disc feeders simultaneously meter the conveyed feeding amount in the conveying process.
(4) The metering system delivers the blended raw materials to a mixing device (such as a vertical intensive mixer or a traditional mixer), and the vertical intensive mixer realizes deep mixing of the raw materials by means of a stirring paddle rotating at a high speed.
(5) The evenly mixed materials are sent to a port for stockpiling or to a target user through a transportation link.
As shown in fig. 1, the chemical composition and the price of each raw material of each dosing tank are all known amounts, and the iron content TFe of the mixed ore from the vertical intensive mixer can be calculated according to the following formula:
wherein: TFeN is the iron element content percentage of iron ore of the Nth batching tank, and N is a positive integer less than or equal to the total batching tank number; GN is the ore blending flow of the iron ore of the Nth blending groove participating in ore blending, and the unit is t/min; g is the total ore blending flow of the whole blending tanks, and the unit is t/min.
SiO of mixed ore from vertical strong mixer 2 The content TSi can be calculated as follows:
wherein: TSiN is SiO of iron ore of the Nth batch tank 2 The content percentage, N is a positive integer less than or equal to the total batching groove number; GN is the ore blending flow of the iron ore of the Nth blending tank participating in the ore blending; units of t/min; g: total ore-distributing flow of all material-distributing tanks, unit t/min
The blending cost P from the vertical intensive mixer can be calculated as follows:
wherein: p is the production cost (unit feed price) of the unit blending ore, unit: meta/t; k is a coefficient, and the production cost of factors such as power consumption, mechanical depreciation and the like is considered, for example, K can be 1.05 to 1.1; PN: unit price of iron ore of nth batch tank: meta/t; GN is the ore blending flow of the iron ore of the Nth blending groove participating in ore blending, and the unit is t/min; g is the total ore blending flow of the whole blending tanks, and the unit is t/min.
It should be noted that the requirements of the steel enterprise on the evenly mixed ores are large, and the requirements on the chemical components of the steel enterprise are stable; in the production process, when the corresponding mixed ore of a certain factory is produced, the formula of the mixed ore is stable and unchanged; the port mixing material field can generate production formulas corresponding to different qualities and prices in real time according to the existing iron ore sources and reserves of the port. The production formulation is shown in table 1:
table 1: port mixing material field production formula table
As shown in figure 1, various mineral seeds are mixed to produce mixed mineral, the production of the mixed mineral is a physical mixing process, and the main control parameter in the production process of the mixed mineral is that the flow rate proportion of each mineral seed in the production process is stable.
As shown in table 1, the chemical components of the ore species involved in the production of the blended ore and the proportion of each chemical component are known, so that a production formula can be generated in advance according to the components of the blended ore, the blended ore quality and cost of different production formulas are different, and the production formulas can be calculated in the blended ore production model according to the formula 1 to the formula 3 according to the historical production data of the blended ore (the operation parameters of the blending tank and the intensive mixer of the port blended ore) or the requirements of each factory on the blended ore, and the production formulas are generated in each port blended ore according to the existing raw material storage conditions, namely, the production formulas of each existing port produced formula are executable production formulas of each port blended ore.
In order to avoid the establishment of large-scale special mixing stock ground (primary stock ground and secondary stock ground) by a steel enterprise, thereby avoiding a large amount of ore storage, reducing the occupation of funds and reducing the occupation of stock ground area, the invention provides a port-based mixing ore production method and a port-based mixing ore production system.
Referring to fig. 2 and 3, it is found through researches that the biggest difference between the production of the mixed ore at the wharf and the production of the mixed ore at the steel enterprise is that the wharf belongs to remote production, and the product needs to be transported to reach the steel plant; the mixed ore is formed by mixing raw ore with different sources and qualities, the raw ore has natural granularity difference, after uniform mixing, the mixed ore with different granularity is uniformly mixed, and the granularity distribution of the mixed ore is shown in figure 2; as shown in fig. 2, the ore seeds with different granularity are basically and evenly distributed after being uniformly mixed, so that the uniform mixed ore is ensured to be taken from any point and put into a sintering process after entering a steel plant, the chemical components are consistent, and the stability of raw material components in production can be ensured; however, in the transportation link of the mixed ore which is uniformly mixed in the port, unavoidable vibration exists, the mixed ore belongs to bulk material property, the materials with smaller particles in the mixed ore are enriched at the bottom of a transportation container through pores among large particles in the vibration, and the granularity distribution of the mixed ore after long-distance transportation of the finished mixed ore is shown in figure 3.
As shown in fig. 4, 5 and 6, the embodiment of the invention provides a port-based blending order distribution method, which comprises the following steps:
s10, obtaining a demand target of the mixed ore of the target steel enterprise, wherein the demand target comprises target demand components.
It can be understood that in this embodiment, the blending mine demand target of each target steel enterprise is obtained, where the demand target includes a target demand component, and the target demand component is generated by the steel enterprise for its own production experience and order quality, and in the present invention, the target demand component is a known quantity.
S20, obtaining a simulated production formula according to the target demand components; s30, determining various simulated iron ore raw materials according to the simulated production formula. Specifically, a target formula is determined according to target demand components of a target steel enterprise, a simulated production formula is determined according to the target formula, and various simulated iron ore raw materials and proportions of the various simulated iron ore raw materials are determined according to the simulated production formula.
In the practical application process, each target steel rabbet (mixing material field has rich mixing material data, namely the production formula of the mixing mineral, each mixing mineral has corresponding mixing mineral proportion (production formula) of different mineral types, different steel rabbets have different technical parameter requirements on the mixing mineral, for a single steel rabbet, each steel rabbet has stable chemical components in the mixing mineral, but for different steel rabbets, the requirements on the mixing mineral are different, the procedures of sintering, a blast furnace and the like of each steel rabbet are suitable for the respective mixing mineral component requirements, in particular, the different chemical components have great influence on the operation of sintering and blast furnace, the cost of the steel rabbet is high, the mixing mineral cost of high-grade low-harmful elements is high, the sintering and blast furnace procedure is simple to operate, the mixing mineral cost of the low-grade high-harmful elements is low, the complex and the high-procedure operation is simple, the condition of each steel rabbet is different in each steel rabbet, but for different steel rabbets, the requirements on the poor quality steel rabbet are suitable for being adopted, the poor quality steel rabbet is suitable for being replaced in the middle part, and the poor quality steel rabbet is suitable for the production of the poor quality steel rabbet, and the poor quality is suitable for the production of the steel rabbet, and the poor quality requirements are formed in the long-term, and the requirements are suitable for the production of the steel rabbet.
In the embodiment of the invention, the target formula can be provided by a corresponding steel enterprise in advance, and can also be obtained by simulation through a pre-established mixed ore production model, specifically: acquiring operation parameters of a proportioning tank and a strong mixer of a port mixing field, and establishing a mixing ore production model according to the formula 1, the formula 2 and the formula 3; the mixing production of components meeting the requirements is simulated by using the mixing production model, the production process is simulated, different components are modified, and the mixing ore production result can be directly obtained from the mixing ore production model, so that the mixing ore formulas (target formulas) with different qualities are obtained.
S40, acquiring a remote port formula in the simulated production formula, wherein the remote raw material in the remote port formula is a simulated iron ore raw material with the grain size in a preset grain size range and the ratio of the grain size to the preset threshold value.
As will be appreciated, the simulated production recipe consists of a remote port recipe and a short-range port recipe, the remote port recipe corresponding to the raw materials being various remote raw materials, the short-range port recipe corresponding to the recipe being various short-range raw materials; the remote raw materials in the remote port formula are simulated iron ore raw materials with particle sizes in a preset particle size range and the ratio of the particle sizes not smaller than a preset threshold value; all the long-range raw materials are uniformly mixed in a port to form semi-finished product mixed ores, and the semi-finished product mixed ores are transported to a steel enterprise and then are mixed with various short-range raw materials to form mixed ores used by the steel enterprise.
Optionally, the upper limit and the lower limit of the preset grain size range can be preset by the target steel enterprise according to self experience or historical data, can be obtained through simulation analysis, and can also be obtained through an established transportation segregation model. In this embodiment, a machine learning method may be used to establish a transportation segregation model of the semi-finished product blended ore, specifically, a transportation segregation model of the semi-finished product blended ore is established with various semi-finished product blended ores with different historical particle size range values, historical transportation modes and historical transportation mileage corresponding to the historical transportation modes as input parameters and the historical transportation segregation degree as output parameters.
Optionally, the preset particle size range may be 3-10 mm, 4-10 mm, 5-8 mm, or other range values; the preset threshold value may be 0.6, or may be a value of 0.7, 0.8, 1, or the like. If the preset threshold value is equal to 1, the remote raw material is indicated that the particle size is within the preset particle size range.
S50, obtaining port production formulas of all the blending ports, matching the port production formulas with the remote port formulas, and marking the blending ports with the port production formulas conforming to the remote port formulas as preselected feeding ports.
It will be appreciated that, because there may be different blending requirements for different steel enterprises, the port blending sites may provide semi-finished blending according to their own production capacity, each port blending site may provide a certain kind of semi-finished blending, that is, there may be a plurality of port production formulas for the semi-finished blending, the obtained port production formulas may be matched with the remote port formulas, and the port blending site of the port production formulas conforming to the remote port formulas may be marked as a pre-selected feeding port.
S60, sending a feeding task order for providing semi-finished mixed ores to a preselected feeding port, wherein the semi-finished mixed ores are formed by uniformly mixing and processing raw materials in all remote port formulas in the corresponding preselected feeding port.
Optionally, the demand target further comprises a target demand weight; the port-based blending order distribution method further comprises the following steps: and obtaining the semi-finished product demand weight of the semi-finished product mixed ore according to the target demand weight and the remote port formula.
Alternatively, in this embodiment, the pre-selected feeding ports may be ranked in order of low-to-high feeding price, and each pre-selected feeding port may be acquired according to the corresponding feeding priority; the pre-selected feeding ports can be sequenced according to the feeding transportation time length of each pre-selected feeding port from short to long, and each pre-selected feeding port can be obtained according to the corresponding feeding priority.
In the implementation of the invention, the feeding capacity of each pre-selected feeding port for feeding the target steel enterprise is obtained; the step S60 specifically includes: splitting the target demand weight into a combined order which is completed by combining a plurality of pre-selected feed ports according to the semi-finished product demand weight and the feed capacity of the pre-selected feed ports corresponding to the feed priority, wherein the combined order comprises a plurality of feed task orders; the feed task orders are sent to the corresponding preselected feed port.
According to the port-based blending order distribution method, part of blending production links (raw materials in a remote port formula are blended) are arranged in a port, blending mineral demand targets of target steel rabbets are obtained, the demand targets comprise target demand components, a simulated production formula is obtained according to the target demand components, various simulated iron ore raw materials are determined according to the simulated production formula, and then the simulated production formula is divided into a remote port formula and a short-range steel rabbet formula according to the particle size of each simulated iron ore raw material, wherein the raw materials in the remote port formula are simulated iron ore raw materials with the particle size within a preset particle size range and the ratio of the particle sizes not smaller than a preset threshold value, and the various remote raw materials are blended in the port to form semi-finished blended ores; marking a blending port with a port production formula conforming to a remote port formula as a preselected feed port; the invention provides a port-based blending order distribution method, which creatively provides a method for distributing a simulated production formula into a long-range port formula and a short-range steel rabbet formula, wherein each short-range raw material of the short-range steel rabbet formula is uniformly mixed with a semi-finished product blending to finally form a sintering blending material.
Further, the method further comprises the steps of: acquiring the number of remote premix tanks of each pre-selected feed port;
judging whether the number of types of remote raw materials in the remote port formula is larger than the number of remote premix tanks;
if the number of the types of the remote raw materials in the remote port formula is larger than the number of the remote premix tanks, the preset threshold is amplified and the remote raw materials in the remote port formula are updated, so that various remote raw materials are obtained again. In the embodiment, the number of the remote premix tanks in the preselected feed port is fully considered, so that the technical problem that the remote premix tanks are difficult to mix due to the fact that the total number of all remote raw materials corresponding to the remote port formula is larger than the number of the remote premix tanks is avoided. Specifically, if the preset grain size range is 3-10 mm, the preset threshold value is 0.6, if the raw materials in the remote port formula are simulated iron ore raw materials with grain sizes in the range of 3-10 mm and the ratio of the raw materials is not less than 0.6, the simulated iron ore raw materials comprise a first raw material, a second raw material, a third raw material, a fourth raw material, a fifth raw material, a sixth raw material, a seventh raw material and an eighth raw material, the total of eight raw materials is seven, the number of the remote premix tanks in the preselected feed port is seven, at this time, the preset threshold value is 0.6 and can be adjusted to be 0.7, the raw materials in the remote port formula are recalculated to be the simulated iron ore raw materials with grain sizes in the range of 3-10 mm and the ratio of not less than 0.7, the total of the six raw materials can be mixed uniformly through the remote premix tanks in the preselected feed port to form a semi-finished mixed ore.
Further, the demand target also includes a target demand address; the method also comprises the steps of: acquiring a transportation route according to a port address of a preselected feed port and a target demand address; predicting a predicted transportation environment in a transportation route in a transportation period; if the estimated transportation environment is a bad state environment, the range value of the preset particle size range is reduced, and the remote raw materials in the remote port formula are updated. In the embodiment, the estimated transportation environment in the transportation time limit is predicted, if the estimated transportation environment is bad, the range value of the preset grain size range is reduced, and the raw materials in the remote port formula are updated, so that the transportation grain size segregation of the semi-finished product mixed ore is reduced, and the quality of the semi-finished product mixed ore after the steel enterprise is ensured. It can be understood that, firstly, the transportation environment in the transportation time limit is predicted, if the vibration, jolt and transportation process in the transportation time limit are short, the predicted transportation environment is a normal environment, and the range value of the preset particle size range can be set to be 3-10 mm; if the transportation environment is poor, vibration, jolt is large, and the transportation history is long during the transportation time period, the range value of the preset particle size range is reduced (for example, 3-10 mm is reduced to 4-10 mm), and the remote raw materials in the remote port formula are updated.
Further, the method further comprises the steps of: s71, acquiring a short-range steel enterprise formula in the simulated production formula, wherein short-range raw materials in the short-range steel enterprise formula are other simulated iron ore raw materials except for all raw materials corresponding to a remote port formula, wherein all simulated iron ore raw materials corresponding to the simulated production formula; s72, obtaining port feed raw materials of each mixing port, matching the port feed raw materials with short-range raw materials in a short-range steel enterprise formula, and marking the mixing port capable of providing the short-range raw materials as an independent feed port; s73, sending a task order for providing independent raw materials to a preselected feed port, wherein the independent raw materials are single raw materials in all short-range steel enterprise formulas. In the invention, semi-finished product mixed ore is manufactured in a preselected feed port and is conveyed to a target steel enterprise, independent raw materials are provided in an independent feed port and are conveyed to the target steel enterprise, and then the semi-finished product mixed ore and all the independent raw materials are uniformly mixed in the target steel enterprise.
Further, the method further comprises the steps of: obtaining the single raw material demand weight of each independent raw material according to the target demand weight and the short-range steel enterprise formula; acquiring the single product transportation distance of each single product raw material demand weight according to the port address and the target demand address of the independent feeding port; sequencing the feeding priorities of the independent feeding ports according to the sequence from near to far of the single product transportation distance, and obtaining independent ports to be fed according to the corresponding feeding priorities; and distributing the feeding task orders to the independent ports to be fed.
Referring to fig. 3, 4 and 5, the present invention provides a specific embodiment as follows:
obtaining a demand target of the mixed ore of a target steel enterprise, wherein the demand target comprises a target demand component, a target demand weight and a target demand address;
obtaining a simulated production formula according to the target demand components; determining various simulated iron ore raw materials according to a simulated production formula; acquiring the semi-finished product demand weight of the semi-finished product mixed ore according to the target demand weight and the remote port formula;
s40, acquiring a remote port formula in the simulated production formula, wherein the remote raw material in the remote port formula is a simulated iron ore raw material with the grain size in a preset grain size range and the ratio of the grain size to the preset threshold value;
acquiring a transportation route according to the port address of the standby feed port and the target demand address; estimating a transportation environment in a transportation period according to the transportation route; if the estimated transportation environment is a bad state environment, reducing the range value of the preset particle size range, updating the raw materials in the remote port formula, and entering into step S40;
acquiring the number of remote premix tanks of each pre-selected feed port; judging whether the number of the types of the raw materials in the remote port formula is larger than the number of the remote premix tanks; if the number of the types of the raw materials in the remote port recipe is greater than the number of the remote premix tanks, amplifying a preset threshold value and updating the raw materials in the remote port recipe, and entering into step S40;
obtaining port production formulas of all mixing ports, matching the port production formulas with remote port formulas, and marking the mixing ports with the port production formulas conforming to the remote port formulas as preselected feeding ports;
and sending a feeding task order for providing semi-finished product mixed ores to the preselected feeding ports, wherein the semi-finished product mixed ores are formed by uniformly mixing and processing raw materials in all remote port formulas in the corresponding preselected feeding ports.
The invention also provides a port-based blending order distribution system, which comprises: the acquisition module is used for acquiring a mixed ore demand target of a target steel enterprise, wherein the demand target comprises target demand components; the formula generation module is used for obtaining a simulated production formula according to the target demand components and determining various simulated iron ore raw materials according to the simulated production formula; the port mixing field control module is used for acquiring a remote port formula in the simulated production formula, and the raw materials in the remote port formula are simulated iron ore raw materials with the particle size in a preset particle size range and the ratio of the particle size to the preset threshold value; the port production formula is used for obtaining port production formulas of all mixing ports, matching the port production formulas with remote port formulas, and marking the mixing ports with port production formulas conforming to the remote port formulas as preselected feeding ports; for sending a feed task order to a preselected feed port that provides a semi-finished mixed ore.
The invention has been described in detail in connection with the specific embodiments and exemplary examples thereof, but such description is not to be construed as limiting the invention. It will be understood by those skilled in the art that various equivalent substitutions, modifications or improvements may be made to the technical solution of the present invention and its embodiments without departing from the spirit and scope of the present invention, and these fall within the scope of the present invention. The scope of the invention is defined by the appended claims.
Claims (8)
1. A port-based blending ore order distribution method is characterized by comprising the following steps:
obtaining a demand target of a mixed ore of a target steel enterprise, wherein the demand target comprises a target demand component;
obtaining a simulated production formula according to the target demand component;
determining various simulated iron ore raw materials according to the simulated production formula;
obtaining a remote port formula in the simulated production formula, wherein remote raw materials in the remote port formula are the simulated iron ore raw materials with the particle sizes in a preset particle size range and the ratio not smaller than a preset threshold value;
obtaining port production formulas of all mixing ports, matching the port production formulas with the remote port formulas, and marking the mixing ports with the port production formulas conforming to the remote port formulas as preselected feeding ports;
and sending a feeding task order for providing semi-finished mixed ores to the preselected feeding port, wherein the semi-finished mixed ores are formed by uniformly mixing and processing raw materials in all the remote port formulas in the corresponding preselected feeding port.
2. The port-based blending order allocation method according to claim 1, wherein,
the demand targets further include a target demand weight;
the port-based blending order distribution method further comprises the following steps: and obtaining the semi-finished product demand weight of the semi-finished product mixed ore according to the target demand weight and the remote port formula.
3. The port-based blending order allocation method according to claim 2, wherein,
the port-based blending order distribution method further comprises the following steps:
acquiring the number of remote premix tanks of each pre-selected feed port;
judging whether the number of types of remote raw materials in the remote port formula is larger than the number of remote premix tanks;
if the number of the types of the remote raw materials in the remote port recipe is larger than the number of the remote premix tanks, amplifying the preset threshold value and updating the remote raw materials in the remote port recipe.
4. The port-based blending order allocation method according to claim 1, wherein,
the demand target also comprises a target demand address;
the port-based blending order distribution method further comprises the following steps:
acquiring a transportation route according to the port address of the preselected feed port and the target demand address;
predicting a predicted transportation environment in the transportation route during a transportation period;
if the estimated transportation environment is a bad state environment, the range value of the preset particle size range is reduced, and the remote raw materials in the remote port formula are updated.
5. The port-based blending order allocation method according to claim 1, wherein,
the value of the preset particle size range is 3-10 mm.
6. The port-based blending order distribution method according to any one of claims 2 to 5, wherein,
the method also comprises the steps of:
obtaining a short-range steel rabbet formula in the simulated production formula, wherein short-range raw materials in the short-range steel rabbet formula are other simulated iron ore raw materials except all raw materials corresponding to the remote port formula, wherein all the simulated iron ore raw materials corresponding to the simulated production formula;
obtaining port feed raw materials of each mixing port, matching the port feed raw materials with short-range raw materials in the short-range steel enterprise formula, and marking the mixing port capable of providing the short-range raw materials as an independent feed port;
a mission order is sent to the preselected feed port providing individual raw materials, wherein the individual raw materials are individual ones of all of the short-range steel rabbet formulas.
7. The port-based blending order allocation method according to claim 6, wherein,
the method also comprises the steps of: obtaining the single raw material demand weight of each independent raw material according to the target demand weight and the short-range steel enterprise formula;
acquiring a single product transportation distance of each single product raw material demand weight according to the port address of the independent feed port and the target demand address;
sequencing the feeding priorities of the independent feeding ports according to the order from near to far of the single product transportation distance, and obtaining independent ports to be fed according to the corresponding feeding priorities;
and distributing feeding task orders to the independent ports to be fed.
8. A port-based blending order distribution system, comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring a demand target of a mixed ore of a target steel enterprise, and the demand target comprises a target demand component;
the formula generation module is used for obtaining a simulated production formula according to the target demand components and determining various simulated iron ore raw materials according to the simulated production formula;
the port mixing field control module is used for acquiring a remote port formula in the simulated production formula, and raw materials in the remote port formula are the simulated iron ore raw materials with the particle size in a preset particle size range and the ratio of the particle size to the preset threshold value; the port production formula is used for obtaining port production formulas of all mixing ports, matching the port production formulas with the remote port formulas, and marking the mixing ports, in which the port production formulas meet the remote port formulas, as preselected feeding ports; for sending a feed task order to the pre-selected feed port that provides a semi-finished mixed ore.
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