CN117689286A - Port blending ore feeding method and system based on estimated quality - Google Patents

Port blending ore feeding method and system based on estimated quality Download PDF

Info

Publication number
CN117689286A
CN117689286A CN202211034770.9A CN202211034770A CN117689286A CN 117689286 A CN117689286 A CN 117689286A CN 202211034770 A CN202211034770 A CN 202211034770A CN 117689286 A CN117689286 A CN 117689286A
Authority
CN
China
Prior art keywords
port
target
feeding
transportation
transportation mode
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202211034770.9A
Other languages
Chinese (zh)
Inventor
刘雁飞
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hunan Zhongye Changtian Energy Conservation And Environmental Protection Technology Co ltd
Zhongye Changtian International Engineering Co Ltd
Original Assignee
Hunan Zhongye Changtian Energy Conservation And Environmental Protection Technology Co ltd
Zhongye Changtian International Engineering Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hunan Zhongye Changtian Energy Conservation And Environmental Protection Technology Co ltd, Zhongye Changtian International Engineering Co Ltd filed Critical Hunan Zhongye Changtian Energy Conservation And Environmental Protection Technology Co ltd
Priority to CN202211034770.9A priority Critical patent/CN117689286A/en
Priority to PCT/CN2023/113307 priority patent/WO2024041430A1/en
Publication of CN117689286A publication Critical patent/CN117689286A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Mining
    • G06Q50/40

Abstract

According to the port mixing ore feeding method and system based on the estimated quality, the preselected feeding port with the water transportation time not longer than the first threshold value is obtained as the standby feeding port, and the port mixing ore with the large influence on the quality of the finished product mixing ore in the water transportation mode is removed to obtain the standby feeding port; and then after the standby supply ports are obtained, the land segregation index of each standby supply port for the target steel enterprise supply is obtained, and then the land segregation index of each standby supply port for the target steel enterprise supply is compared, so that the target steel enterprise can conveniently select the standby supply port with the land segregation index meeting the preset transport segregation value from the standby supply ports as the target supply port, and finally the target supply port is used for the target steel enterprise supply, thereby being beneficial to ensuring the quality of the finished product mixed ore which is transported to the target steel enterprise after the ports are uniformly mixed, further ensuring the sintering effect, and simultaneously reducing the secondary cost of the steel enterprise.

Description

Port blending ore feeding method and system based on estimated quality
Technical Field
The application relates to the technical field of sintering, in particular to a port mixing ore feeding method and system based on estimated quality.
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 are large; (4) When the finished products are transported to be mixed uniformly, the quality cannot be guaranteed to meet the requirements of steel enterprises.
In addition, because the mixed ore is a mixed material formed by mixing different ore types with different particle sizes, the irresistible factors of the finished mixed ore mixed in a port in the transportation process can cause fine particles in the mixed ore to sink to the bottom of a transportation container through pores in the mixed ore for enrichment, thereby influencing the quality of the mixed ore, leading to the quality difference of the mixed ore after being transported to a steel rabbet and influencing sintering.
In view of the above, it is necessary to provide a port mixing ore feeding method based on estimated quality to solve at least some of the above problems.
Disclosure of Invention
In order to provide a finished product blending ore meeting the quality requirements of the steel enterprises on the premise of avoiding each steel enterprise from establishing own special blending stock fields (a primary stock field and a secondary stock field), the application provides a port blending ore feeding method and system based on estimated quality.
The first aspect of the application provides a port mixing ore feeding method based on estimated quality, which comprises the following steps:
s10, obtaining a mixed ore demand target of a target steel enterprise, wherein the demand target comprises a target demand address; s20, acquiring a port address of each preselected feeding port, and determining simulated feeding information between the port address and the target demand address according to the port address and the target demand address, wherein the simulated feeding information comprises a water transportation mode and a water transportation time length corresponding to the water transportation mode, a land transportation mode and a land transportation time length corresponding to the land transportation mode, the land transportation mode comprises a flat transportation mode and a bump transportation mode, and the land transportation time length comprises a flat transportation time length and a bump transportation time length; s30, acquiring a preselected feed port with the water transport duration not greater than a first threshold value as a standby feed port; s40, acquiring a land segregation index of each spare supply port as a target steel rabbet supply, wherein the land segregation index is acquired by a formula pi=fi+tf+bi+tb, FI represents a road condition influence coefficient when the I-th spare supply port is in a flat transportation mode when the I-th spare supply port is in a target port supply, TF represents a transportation time length when the I-th spare supply port is in the flat transportation mode when the I-th spare supply port is in the target port supply, BI represents a road condition influence coefficient when the I-th spare supply port is in a bumpy transportation mode when the I-th spare supply port is in the target port supply, TB represents a transportation time length when the I-th spare supply port is in the bumpy transportation mode, and the value of FI is smaller than BI; s50, sorting the spare supply ports according to the land segregation indexes corresponding to the spare supply ports to obtain the names of the ports to be selected; screening first to N standby feed ports from the port names to be selected as target feed ports to obtain target port names; n is a positive integer, and N is more than or equal to 1 and less than or equal to the number of spare feed ports.
In one implementation, the port mixing ore feeding method based on the estimated quality further comprises the steps of: estimating the wind power level in the period of the water transportation mode when the preselected material supply port is used for supplying the target steel enterprise; if the wind power level is greater than the wind power threshold, the range of the first threshold is narrowed.
In one implementation, the road condition influence coefficient FI of the flat transportation mode has a range value of 0.01 to 0.04; the road condition influence coefficient BI of the bump transportation mode ranges from 0.05 to 0.08.
In one implementation, the method further comprises the steps of: demand targets also include target demand weights; acquiring the feeding capacity of a target feeding port; sequencing the feeding priority of the target feeding ports according to the feeding capacity of the target feeding ports, splitting the target demand weight into combined orders which are combined and completed by a plurality of target feeding ports according to the target demand weight and the feeding capacity of the target feeding ports corresponding to the feeding priority, wherein the combined orders comprise a plurality of feeding task orders; and sending the feeding task order to a corresponding target feeding port.
In one implementation, the method further comprises the steps of: s61, acquiring the current production state of a target feed port with a feed task order; s62, if the current production state of the target feeding port with the feeding task order is an abnormal state, acquiring a standby feeding port corresponding to the abnormal state as an abnormal feeding port; s63, obtaining the underfeed weight of the abnormal feed port which is not fed yet; s64, updating the under-feed weight to the target demand weight, and proceeding to step S10.
In one implementation, the first threshold range is no greater than 15 days.
A second aspect of the embodiments of the present application provides a port blending mine feed system based on estimated quality,
the demand acquisition module is used for acquiring a demand target of the mixed ore of the target steel enterprise, wherein the demand target comprises a target demand address;
port acquisition module: the method comprises the steps of acquiring a port address of each preselected feeding port, and determining simulated feeding information between the port address and a target demand address according to the port address and the target demand address, wherein the simulated feeding information comprises a water transportation mode and a water transportation time length corresponding to the water transportation mode, a land transportation mode and a land transportation time length corresponding to the land transportation mode, the land transportation mode comprises a flat transportation mode and a bump transportation mode, and the land transportation time length comprises a flat transportation time length and a bump transportation time length; the pre-selected feeding port is used for acquiring that the water transport duration is not more than a first threshold value and is a standby feeding port; the method comprises the steps of acquiring a land segregation index of each spare supply port serving as a target steel enterprise supply, wherein the land segregation index is acquired by a formula pi=fi×tf+bi×tb, FI represents a road condition influence coefficient when an I-th spare supply port is in a flat transportation mode when the I-th spare supply port is in the target port supply, TF represents a transportation time length when the I-th spare supply port is in the flat transportation mode when the I-th spare supply port is in the target port supply, BI represents a road condition influence coefficient when the I-th spare supply port is in the bump transportation mode when the I-th spare supply port is in the target port supply, TB represents a transportation time length when the I-th spare supply port is in the bump transportation mode, and the value of FI is smaller than BI; the method comprises the steps of sequencing the spare supply ports according to the corresponding land segregation indexes of the spare supply ports to obtain the names of the ports to be selected; screening first to N standby feed ports from the port names to be selected as target feed ports to obtain target port names; n is a positive integer, and N is more than or equal to 1 and less than or equal to the number of spare feed ports.
The beneficial effects are that:
according to the port blending ore feeding method based on the estimated quality, through the demand acquisition module, blending ore demand targets for acquiring target steel enterprises are acquired, the demand targets comprise target demand addresses, then a simulated transportation mode between the port address and the target demand address and a simulated transportation time length corresponding to each simulated transportation mode are determined according to the port address and the target demand address, and finally influence coefficients of each simulated transportation mode on blending ore quality are analyzed, so that port blending fields capable of providing blending ore with optimal quality are selected from each port, and by means of the arrangement of the modes, blending meeting quality demands can be obtained for each steel enterprise on the premise that each steel enterprise is prevented from establishing own special blending fields; the method comprises the steps of obtaining a preselected feeding port with the water transport duration not longer than a first threshold value as a standby feeding port, firstly removing port mixed ores with large influence on quality of finished product mixed ores in a water transport mode, and further obtaining the standby feeding port; after the standby feed ports are obtained, land segregation indexes of each standby feed port serving as a target steel enterprise feed are obtained, then land segregation indexes of each standby feed port serving as the target steel enterprise feed are compared, so that the target steel enterprise can conveniently select the standby feed port with the land segregation indexes meeting preset transport segregation values from the standby feed ports as the target feed port, and finally the target feed port is used for feeding the target steel enterprise, thereby being beneficial to ensuring the quality of a finished product mixed ore which is conveyed to the target steel enterprise after the ports are uniformly mixed, further ensuring sintering effect, and reducing the secondary cost of the steel enterprise based on the port interface feed.
Drawings
In order to more clearly illustrate the technical solutions of the present application, 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 application;
fig. 2 is a schematic flow chart of a port mixing ore feeding method based on estimated quality according to an embodiment of the present application;
fig. 3 is a system schematic diagram of a port blending ore feeding method based on estimated quality according to an embodiment of the present application.
Detailed Description
In order to more clearly describe the production process of the mixed ore provided by the embodiment of the application, the production process of the mixed ore of the port mixing yard is first described as necessary.
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 in each dosing tank are all known amounts,
the iron content TFe of the blended ore exiting the vertical intensive mixer can be calculated as follows:
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 the production formulation can be generated in advance, the quality and cost of the blended ore of different production formulations are different, and the production formulation can be generated in each port blended ore according to the historical production data of the blended ore (the operation parameters of the material mixing tank and the intensive mixer of the port blended ore) or the requirements of each factory on the blended ore, the production formulation can be pushed out in the blended ore production model according to the blended ore production model constructed by the formulas 1 to 3, namely, the production formulation can be generated in each port blended ore according to the storage condition of the existing raw materials, namely, the production formulation of each existing port blended ore is the production formulation executable by each port blended ore.
In order to provide a port of a mixed ore meeting the quality requirements of a steel enterprise for the steel enterprise on the premise that each steel enterprise is prevented from establishing a self special mixed material field (a primary material field and a secondary material field), the application provides a port mixed ore feeding method and system based on estimated quality.
As shown in fig. 2, an embodiment of the present application provides a port blending ore feeding method based on estimated quality, including the steps of:
s10, obtaining a mixed ore demand target of a target steel enterprise, wherein the demand target comprises a target demand address. Specifically, the target demand address is the current address of the target steel enterprise.
S20, acquiring port addresses of each preselected feeding port, and determining simulated feeding information between the port addresses and the target demand addresses according to the port addresses and the target demand addresses, wherein the simulated feeding information comprises a water transportation mode and a water transportation time length corresponding to the water transportation mode, a land transportation mode and a land transportation time length corresponding to the land transportation mode, the land transportation mode comprises a flat transportation mode and a bump transportation mode, and the land transportation time length comprises a flat transportation time length and a bump transportation time length.
In the embodiment of the application, each feeding port is provided with a corresponding port address, and a water transportation mode between the port address and the target demand address and a water transportation time length, a land transportation mode and a land transportation time length corresponding to the water transportation mode are determined according to the port address and the target demand address, wherein the land transportation mode comprises a flat transportation mode and a bump transportation mode, and the land transportation time length comprises a flat transportation time length and a bump transportation time length. Specifically, the flat transportation mode comprises railway transportation and high-grade highway transportation, the bump transportation mode comprises medium-grade highway, low-grade highway and village highway, and the simulated water transportation mode and the water transportation time length, land transportation mode and land transportation time length corresponding to the land transportation mode can be estimated by combining the port address and the target demand address of the target steel enterprise with big data, artificial intelligence or worker experience; the quality of the mixed ore after being transported by a simulated water transportation mode or a land transportation mode or by combining the two simulated transportation modes is estimated by simulating the water transportation mode and the water transportation time length corresponding to the water transportation mode, the land transportation mode and the land transportation time length corresponding to the land transportation mode, so that the target steel enterprise can be helped to select an optimal feeding port, and the quality of the mixed ore of the finished product after being transported to the target steel enterprise after being uniformly mixed in the port is favorably ensured.
S30, acquiring a preselected feed port with the water transport duration not greater than a first threshold value as a standby feed port.
It will be appreciated that the length of the transportation by the water transport means extracts the reserve supply port satisfying the transportation by the water transport from the reserve supply port, and in particular, if the length of the transportation by the simulated water transport means is not greater than the preset first threshold value, the reserve supply port satisfying this condition is set as the reserve supply port. For example, there are 20 pre-selected feed ports, wherein the preset first threshold is 30 days, 15 of the 20 pre-selected feed ports have a water transport duration of 25 days, and 5 of the 20 pre-selected feed ports have a water transport duration of 40 days, so 15 pre-selected feed ports satisfying the water transport duration of not more than 30 days are provided, and the 15 pre-selected feed ports satisfying the water transport duration are set as spare feed ports.
S40, acquiring a land segregation index of each spare supply port serving as a target steel rabbet supply, wherein the land segregation index is acquired by a formula pi=fi+tf+bi+tb, FI represents a road condition influence coefficient when the I-th spare supply port is in a flat transportation mode when the I-th spare supply port is in the target port supply, TF represents a transportation time length when the I-th spare supply port is in the flat transportation mode when the I-th spare supply port is in the target port supply, BI represents a road condition influence coefficient when the I-th spare supply port is in a bumpy transportation mode when the I-th spare supply port is in the target port supply, TB represents a transportation time length when the I-th spare supply port is in the bumpy transportation mode, and the value of FI is smaller than BI.
As can be appreciated, since the land segregation index is affected by the transportation road condition and the transportation duration corresponding to the transportation road condition, the land segregation index can be obtained by calculating the formula pi=fi×tf+bi×tb, it should be noted that if the land segregation index is not less than 10, the land segregation index is determined to be high, if the land segregation index is less than 10, the land segregation index is determined to be low, and experimental study shows that the flat road condition influence coefficient is less than the bumpy road condition influence coefficient; for example, the impact coefficient of the flat road condition is 0.02, the corresponding transportation time period of the flat road condition in the flat transportation environment is 100 hours, the impact coefficient of the bumpy road condition is 0.06, the transportation time period of the bumpy road condition in the bumpy transportation environment is 150 hours, and the land segregation index is 11 at the moment; or the impact coefficient of the flat road condition is 0.02, the transportation duration of the flat road condition in the flat transportation environment is 150 hours, the impact coefficient of the bumpy road condition is 0.05, and the transportation duration of the bumpy road condition in the bumpy transportation environment is 100 hours, so that the land segregation index is 8.
S50, sorting the spare supply ports according to the corresponding land segregation indexes of the spare supply ports to obtain the names of the ports to be selected; screening first to N standby feed ports from the port names to be selected as target feed ports to obtain target port names; n is a positive integer, and N is more than or equal to 1 and less than or equal to the number of spare feed ports.
It can be understood that in the practical application process, if a transportation mode of combining water transportation with land transportation is adopted, the spare supply ports are ordered according to the height of the land transportation segregation index corresponding to the spare supply ports, so as to obtain the names of the to-be-selected supply ports; screening first to N standby feed ports from the names of the feed ports to be selected as target feed ports to obtain the names of the target feed ports; n is a positive integer, N is not less than 1 and not more than the number of spare supply ports, and the spare supply ports are extracted in a water transportation mode; for example, in step S30, 50 backup ports are extracted by means of water transportation, and then the 50 backup ports are sorted according to the land segregation index corresponding to the 50 backup ports, so as to obtain a list of ports to be selected from backup port 1 to backup port 50, and then the first to 20 th backup ports are selected as target ports, so as to obtain a list of target ports from backup port 1 to backup port 20; the target port list may also be selected from the port lists according to the percentages, for example, the port lists from the backup port 1 to the backup port 100 are selected, for example, if N is 30%, and the first 30 ports are selected from the port lists as target ports.
Further, the port mixing ore feeding method based on the estimated quality further comprises the following steps: estimating the wind power level in the period of the water transportation mode when the preselected material supply port is used for supplying the target steel enterprise; if the wind power level is greater than the wind power threshold, the range of the first threshold is narrowed.
It can be understood that if the water transportation mode is adopted, but because the water transportation is greatly affected by wind power, the wind power level of the preselected material supply port in the water transportation mode period when the target steel enterprise is supplied needs to be estimated, and if the wind power level is greater than the ideal wind power threshold, the range of the first threshold needs to be narrowed; for example, the wind power level in the period of the water transportation mode is 6 levels when the preselected material supply port is used for supplying the target steel enterprise, and the ideal wind power threshold value is 3 levels, and at this time, the range of the original first threshold value needs to be narrowed.
Further, the range value of the road condition influence coefficient FI of the flat transportation mode is 0.01 to 0.04; the road condition influence coefficient BI of the bump transportation mode ranges from 0.05 to 0.08.
It can be understood that the influence on the land segregation index is controllable when the range value of the road condition influence coefficient FI of the flat transportation mode is 0.01 to 0.04 and the range value of the road condition influence coefficient BI of the bump transportation mode is 0.05 to 0.08 through researches. If the minimum curve radius of the curve in the railway transportation in the flat transportation mode is larger than the preset minimum curve radius, the road condition influence coefficient of the railway transportation takes a value of 0.04; the minimum curve radius of the curve in the railway transportation is not larger than the preset minimum curve radius, and the road condition influence coefficient of the railway transportation takes a value of 0.01; if the minimum curve radius of the curve in the high-grade road transportation in the flat transportation mode is larger than the preset minimum curve radius, the road condition influence coefficient of the high-grade road transportation takes a value of 0.04; and when the minimum curve radius of the curve in the high-grade road transportation is not larger than the preset minimum curve radius, the road condition influence coefficient of the high-grade road transportation takes a value of 0.01.
Optionally, if the minimum curve radius of the curve in the middle-level road transportation in the bump transportation mode is larger than the preset minimum curve radius, the road condition influence coefficient of the middle-level road transportation takes a value of 0.08; the minimum curve radius of the curve in the middle-level road transportation is not larger than the preset minimum curve radius, and the road condition influence coefficient of the middle-level road transportation takes a value of 0.05; if the minimum curve radius of the curve in the low-level road transportation in the bump transportation mode is larger than the preset minimum curve radius, the road condition influence coefficient of the low-level road transportation takes a value of 0.08; the minimum curve radius of the curve in low-grade road transportation is not larger than the preset minimum curve radius, and the road condition influence coefficient of the low-grade road transportation takes a value of 0.05; if the minimum curve radius of the curve in the road transportation of the villages and towns in the bump transportation mode is larger than the preset minimum curve radius, the road condition influence coefficient of the road transportation of the villages and towns takes a value of 0.08; and when the minimum curve radius of the curve in the road transportation of the villages and towns is not larger than the preset minimum curve radius, the road condition influence coefficient of the road transportation of the villages and towns takes a value of 0.05.
Further, the demand targets also include target demand weights; acquiring the feeding capacity of a target feeding port; sequencing the feeding priority of the target feeding ports according to the feeding capacity of the target feeding ports, splitting the target demand weight into combined orders which are combined and completed by a plurality of target feeding ports according to the target demand weight and the feeding capacity of the target feeding ports corresponding to the feeding priority, wherein the combined orders comprise a plurality of feeding task orders; and sending the feeding task order to a corresponding target feeding port.
In actual production, the feed capacity of the target feed port may not reach the required mixed ore demand weight of a single steel enterprise, then the target demand weight may be split into a combined order completed by combining a plurality of target feed ports according to the target demand weight and the feed capacity of the target feed port corresponding to the feed priority, the combined order includes a plurality of feed task orders, each feed task order corresponds to a target feed port, for example, 100 ten thousand tons are required for an a steel enterprise, the target feed port 1, the target feed port 2, the target feed port 3, the target feed port 4 are sequentially ordered according to the feed capacity according to the priority, the capacity of the target feed port 1 is 60 ten thousand tons, the capacity of the target feed port 2 is 30 ten thousand tons, the capacity of the target feed port 3 is 20 ten thousand tons, the capacity of the target feed port 1 is 60 ten thousand tons, the target feed port 2 is 30 ten thousand tons, the target feed port 3 is 10 ten thousand tons, and the target feed port 3 is allocated to the target feed port 1, and the target feed port 2 is completed according to the target demand weight of the target feed port 1 and the target feed port 2.
Further, S61, the current production state of a target feeding port with a feeding task order is obtained; s62, if the current production state of the target feeding port with the feeding task order is an abnormal state, acquiring a standby feeding port corresponding to the abnormal state as an abnormal feeding port; s63, obtaining the underfeed weight of the abnormal feed port which is not fed yet; s64, updating the under-feed weight to the target demand weight, and proceeding to step S10.
It will be understood that in actual production, during the process of producing the target demand weight for the target steel enterprise for the target feed port, the feeding of the target steel enterprise may not be successfully completed due to abnormal interruption (such as interruption of the transportation line, failure of port equipment, natural disaster), so the target feed port is set as an abnormal feed port, the undersupply weight of the unfinished feed for the abnormal feed port is obtained, the undersupply weight is updated to the target demand weight, and the step S10 is returned. The feeding strategy is timely modified after the feeding accidents happen, so that the requirements of the target steel enterprise are further guaranteed.
Further, the first range threshold is no greater than 15 days. In particular, according to the research, if the water transport is more than 15 days, the water transport is more influenced by typhoons, rainy seasons and ice and snow seasons, and the transport granularity segregation is more easily generated in the transport process, so that the water transport time is more than 15 days, which is more ideal.
A second aspect of the embodiments of the present application provides a port blending production system based on estimated quality,
the demand acquisition module is used for acquiring a demand target of the mixed ore of the target steel enterprise, wherein the demand target comprises a target demand address.
Port acquisition module: the method comprises the steps of acquiring a port address of each preselected feeding port, determining simulated feeding information between the port address and a target demand address according to the port address and the target demand address, wherein the simulated feeding information comprises a water transportation mode and a water transportation time length corresponding to the water transportation mode, a land transportation mode and a land transportation time length corresponding to the land transportation mode, the land transportation mode comprises a flat transportation mode and a bump transportation mode, and the land transportation time length comprises a flat transportation time length and a bump transportation time length; the pre-selected feeding port is used for acquiring that the water transport duration is not more than a first threshold value and is a standby feeding port; the method comprises the steps of acquiring a land segregation index of each spare supply port serving as a target steel enterprise supply, wherein the land segregation index is acquired by a formula pi=fi×tf+bi×tb, FI represents a road condition influence coefficient when an I-th spare supply port is in a flat transportation mode when the I-th spare supply port is in the target port supply, TF represents a transportation time length when the I-th spare supply port is in the flat transportation mode when the I-th spare supply port is in the target port supply, BI represents a road condition influence coefficient when the I-th spare supply port is in the bump transportation mode when the I-th spare supply port is in the target port supply, TB represents a transportation time length when the I-th spare supply port is in the bump transportation mode, and the value of FI is smaller than BI; the method comprises the steps of sequencing the spare supply ports according to the corresponding land segregation indexes of the spare supply ports to obtain the names of the ports to be selected; screening first to N standby feed ports from the port names to be selected as target feed ports to obtain target port names; n is a positive integer, and N is more than or equal to 1 and less than or equal to the number of spare feed ports.
According to the port mixing ore feeding method and system based on the estimated quality, the port obtains the mixing ore demand target for the target steel rabbet through the demand obtaining module, the demand target comprises the target demand address, then the simulated transportation mode between the port address and the target demand address and the simulated transportation time length corresponding to each simulated transportation mode are determined according to the port address and the target demand address, and finally the influence coefficient of each simulated transportation mode on the mixing ore quality is analyzed, so that the port mixing ore field capable of providing the mixing ore with the optimal quality is selected from each port, and by the arrangement of the mode, the mixing ore meeting the quality demand can be obtained by each steel rabbet on the premise of avoiding each steel rabbet from establishing the special mixing ore field of the port, and the sintering effect is ensured.
The foregoing detailed description has been provided for the purposes of illustration in connection with specific embodiments and exemplary examples, but such description is not to be construed as limiting the application. Those skilled in the art will appreciate that various equivalent substitutions, modifications and improvements may be made to the technical solution of the present application and its embodiments without departing from the spirit and scope of the present application, and these all fall within the scope of the present application. The scope of the application is defined by the appended claims.

Claims (7)

1. A port mixing ore feeding method based on estimated quality is characterized by comprising the following steps:
s10, obtaining a demand target of the mixed ore of a target steel enterprise, wherein the demand target comprises a target demand address;
s20, acquiring a port address of each preselected feeding port, and determining simulated feeding information between the port address and the target demand address according to the port address and the target demand address, wherein the simulated feeding information comprises a water transportation mode, a water transportation time length corresponding to the water transportation mode, a land transportation mode and a land transportation time length corresponding to the land transportation mode, the land transportation mode comprises a flat transportation mode and a bump transportation mode, and the land transportation time length comprises a flat transportation time length and a bump transportation time length;
s30, acquiring the preselected feed port with the water transport duration not greater than a first threshold value as a standby feed port;
s40, acquiring a land segregation index of each spare supply port for supplying the target steel enterprise, wherein the land segregation index is acquired by a formula pi=fi+tf+bi+tb, FI represents a road condition influence coefficient when the I-th spare supply port is in the flat transportation mode when supplying the target port, TF represents a transportation time length when the I-th spare supply port is in the flat transportation mode when supplying the target port, BI represents a road condition influence coefficient when the I-th spare supply port is in the bump transportation mode when supplying the target port, TB represents a transportation time length when the I-th spare supply port is in the bump transportation mode when supplying the target port, and the value of FI is smaller than BI;
s50, sorting the standby feed ports according to the land segregation indexes corresponding to the standby feed ports to obtain the names of the feed ports to be selected; screening first to N standby feed ports from the names of the feed ports to be selected as target feed ports to obtain the names of the target feed ports; n is a positive integer, and N is more than or equal to 1 and less than or equal to the number of the spare feed ports.
2. The port blending ore feeding method based on pre-estimated quality according to claim 1, wherein,
the method also comprises the steps of:
estimating the wind power level of the preselected feed port in the period of the water transportation mode when the preselected feed port feeds the target steel enterprise;
and if the wind power level is greater than the wind power threshold value, narrowing the range of the first threshold value.
3. The port blending ore feeding method based on pre-estimated quality according to claim 1, wherein,
the range value of the road condition influence coefficient FI of the flat transportation mode is 0.01 to 0.04;
the road condition influence coefficient BI of the bump transportation mode ranges from 0.05 to 0.08.
4. The port blending ore feeding method based on pre-estimated quality according to claim 1, wherein,
the demand targets further include a target demand weight;
the method also comprises the steps of: acquiring the feeding capacity of the target feeding port;
sequencing the feeding priority of the target feeding port according to the feeding capacity of the target feeding port to obtain a target order port, and splitting the target demand weight into a combined order which is combined and completed by a plurality of target order ports according to the target demand weight and the feeding capacity of the target order port corresponding to the feeding priority, wherein the combined order comprises a plurality of feeding task orders;
and sending the feeding task order to the corresponding target issuing port.
5. The port blending ore feeding method based on pre-estimated quality according to claim 1, wherein,
the method also comprises the steps of:
s61, acquiring the current production state of the target order port with the feeding task order;
s62, if the current production state of the target issuing port with the feeding task order is an abnormal state, acquiring the target issuing port corresponding to the abnormal state as an abnormal feeding port;
s63, obtaining the undersupply weight of the target order port which is not finished with feeding;
s64, updating the undersupply weight to the target demand weight, and proceeding to step S10.
6. The port blending ore feeding method based on pre-estimated quality according to claim 1, wherein,
the first threshold range is no greater than 15 days.
7. A harbour blending ore production system based on estimated quality is characterized by comprising:
the demand acquisition module is used for acquiring a demand target of the mixed ore of the target steel enterprise, wherein the demand target comprises a target demand address;
port acquisition module: the method comprises the steps of acquiring a port address of each preselected feeding port, and determining simulated feeding information between the port address and the target demand address according to the port address and the target demand address, wherein the simulated feeding information comprises a water transportation mode, a water transportation time length corresponding to the water transportation mode, a land transportation mode and a land transportation time length corresponding to the land transportation mode, the land transportation mode comprises a flat transportation mode and a bump transportation mode, and the land transportation time length comprises a flat transportation time length and a bump transportation time length; the preselected feed port for acquiring the water transport duration not greater than a first threshold value is a standby feed port; the method comprises the steps of obtaining a land segregation index of each spare supply port for supplying the target steel enterprise, wherein the land segregation index is obtained by a formula pi=fi×tf+bi×tb, FI represents a road condition influence coefficient when the I-th spare supply port is in the flat transportation mode when supplying the target port, TF represents a transportation time length when the I-th spare supply port is in the flat transportation mode when supplying the target port, BI represents a road condition influence coefficient when the I-th spare supply port is in the bump transportation mode when supplying the target port, TB represents a transportation time length when the I-th spare supply port is in the bump transportation mode when supplying the target port, and the value of FI is smaller than BI; the method comprises the steps of sequencing the standby feed ports according to the corresponding land segregation indexes of the standby feed ports to obtain the names of the feed ports to be selected; screening first to N standby feed ports from the names of the feed ports to be selected as target feed ports to obtain the names of the target feed ports; n is a positive integer, and N is more than or equal to 1 and less than or equal to the number of the spare feed ports.
CN202211034770.9A 2022-08-26 2022-08-26 Port blending ore feeding method and system based on estimated quality Pending CN117689286A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202211034770.9A CN117689286A (en) 2022-08-26 2022-08-26 Port blending ore feeding method and system based on estimated quality
PCT/CN2023/113307 WO2024041430A1 (en) 2022-08-26 2023-08-16 Port blended ore feeding method and system based on estimated quality

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202211034770.9A CN117689286A (en) 2022-08-26 2022-08-26 Port blending ore feeding method and system based on estimated quality

Publications (1)

Publication Number Publication Date
CN117689286A true CN117689286A (en) 2024-03-12

Family

ID=90012539

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202211034770.9A Pending CN117689286A (en) 2022-08-26 2022-08-26 Port blending ore feeding method and system based on estimated quality

Country Status (2)

Country Link
CN (1) CN117689286A (en)
WO (1) WO2024041430A1 (en)

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102169558A (en) * 2011-03-16 2011-08-31 东南大学 Automatic generation method of emergency resource scheduling schemes in expressway network
CN103593710A (en) * 2013-10-27 2014-02-19 沈阳建筑大学 Scheduling method of disposable consumption emergency materials
IL282344A (en) * 2020-04-16 2021-10-31 Pick A Pier Ltd A method of tracking and matching reservations, of marine docking berths at ports, for maximization of business goals
CN113869830A (en) * 2021-10-11 2021-12-31 广州品唯软件有限公司 Transportation scheme recommendation method, device, equipment and readable storage medium
CN114904447B (en) * 2022-05-18 2024-03-12 中冶长天国际工程有限责任公司 Production method and system for mixed ore

Also Published As

Publication number Publication date
WO2024041430A1 (en) 2024-02-29

Similar Documents

Publication Publication Date Title
CN104058427A (en) High-grade potassium chloride production system and method thereof
CN201109162Y (en) Modularized combined type agitating station
CN107312926A (en) One kind premixes even method and apparatus containing Iron Ore Powder
CN202293043U (en) Aggregate batching and metering device for continuous asphalt concrete mixing plant
CN205674362U (en) Concrete batching controls device
CN114904447B (en) Production method and system for mixed ore
CN108946205A (en) A kind of iron ore ingredient blending system based on harbour
CN104649036B (en) A kind of stacking method improving mixing material stability
CN117689286A (en) Port blending ore feeding method and system based on estimated quality
CN107411166B (en) A kind of box tobacco leaf formulation system and its process
CN101532081B (en) Method and device for optimizing sintering solid fuel mixing rate
CN206424904U (en) A kind of automatic ore blending system
CN104608248B (en) Less than 5mm fine aggregate reuse method in concrete production
CN117521987A (en) Mixed ore order distribution method and system based on port
CN111532805A (en) Short-flow mixed ore processing technology and system
CN117540941A (en) Mixed ore production method and system based on port
CN117551865A (en) Port-based two-section type mixed ore production method and system
CN208035014U (en) Concrete production automates facilities of mix storied building
CN117504709A (en) Mixed ore production and distribution method and system based on port
CN117541088A (en) Feeding evaluation method, feeding method and feeding system for port mixing material field
CN208802596U (en) A kind of iron ore ingredient blending system based on harbour
CN210850776U (en) Ardealite baking-free ceramsite ball production line
CN209425880U (en) A kind of automation stirring system of concrete manufacture
CN109321698B (en) Batching method capable of effectively improving mixing and stacking efficiency
CN114376255A (en) Method for regulating and controlling uniformity of threshing and redrying formula

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination