Control system for stockpiling of multiple varieties of coke in iron and steel plant

Abstract

The invention relates to a control system for multi-variety coke stockpiling in an iron and steel plant, and belongs to the technical field of coke stockpiling control. The steel plant multi-variety coke stockpiling control system comprises a classification module used for classifying target coke raw materials in combination with quality indexes and production process indexes to generate a plurality of coke raw material piles and classification labels thereof; the three-dimensional stockpiling warehouse construction module is used for carrying out layering and grid division on the material yard area to generate a coke three-dimensional stockpiling warehouse; the warehouse management module is used for storing the coke raw material piles into a coke three-dimensional stockpiling warehouse and adjusting the storage positions of the coke raw material piles according to the dynamic information of the coke raw material piles; the path generation module is used for generating an optimal production ratio of each production plan and an optimal material taking path of each production plan according to each production plan and the storage information; and the automatic scheduling module is used for generating and executing a dynamic scheduling instruction according to each production plan. According to the invention, the intelligence of coke warehouse management and the production operation efficiency are improved.

Description

Technical Field

[0001] This invention relates to the field of coke storage control technology, and more particularly to a control system for multi-variety coke storage in steel plants. Background Technology

[0002] The quality requirements for coke vary throughout the steel production process. Different ironmaking processes and different product quality objectives require coke with different quality characteristics. Coke producers often produce a variety of cokes with different strength grades, reactivity, and post-reaction strength.

[0003] Currently, some large steel plants have conducted intelligent research and development on coke storage yards, mainly using advanced sensor technology and big data technology to achieve precise management of the storage of various types of coke. Specifically, by setting up positioning devices and weight sensors in the storage yard, the location, quantity, and entry and exit of coke can be monitored in real time.

[0004] However, existing technologies are not perfect for classifying and storing various types of coke. They cannot clearly grasp the types, quantities, and quality of coke inventory. Moreover, when taking coke from the stockyard according to the production plan, they do not take into account transportation route costs and scheduling costs, which reduces the intelligence of coke storage management and the efficiency of production operations. Summary of the Invention

[0005] To solve the above-mentioned technical problems, this invention provides a control system for the storage of multiple types of coke in steel plants. The technical solution of this invention is as follows: This invention proposes a control system for multi-variety coke storage in steel plants, comprising: The classification module is used to classify target coke raw materials by combining quality indicators and production process indicators, and generate multiple coke raw material piles and their classification labels. The three-dimensional storage warehouse construction module is used to divide the material yard area into layers and grids according to the preset coke index to generate a three-dimensional coke storage warehouse. The three-dimensional coke storage warehouse consists of multiple unit areas and their storage labels. The warehouse management module is used to store each coke raw material pile in the coke three-dimensional storage warehouse according to its own classification label, and to obtain the dynamic information of each coke raw material pile in real time. Based on the multidimensional knapsack algorithm and the dynamic information of each coke raw material pile, the storage location of each coke raw material pile is adjusted. The path generation module is used to obtain the storage information of the coke three-dimensional storage warehouse, generate the optimal production ratio for each production plan based on each production plan and the storage information, and generate the optimal material picking path for each production plan based on the optimal production ratio and the storage information. The automated scheduling module is used to construct a scheduling queue based on the optimal material picking path for each production plan, generate dynamic scheduling instructions by dynamically adjusting the scheduling queue, and control the coke three-dimensional storage warehouse to execute the dynamic scheduling instructions.

[0006] Preferably, the quality indicators have a higher classification priority than the production process indicators, and the classification module includes: The quality index classification unit is used to classify the target coke raw material according to the quality index and obtain the first classification result. The production process index classification unit is used to classify the target coke raw material according to the production process index to obtain the second classification result. The comprehensive classification unit is used to obtain the intersection of the first classification result and the second classification result as the intersection classification result. The target coke raw materials that do not belong to the intersection classification result are classified by quality indicators to obtain the third classification result. The intersection classification result and the third classification result are combined to generate multiple coke raw material piles and their classification labels.

[0007] Preferably, the automated storage and retrieval warehouse construction module includes: The stratified unit is used to divide the material yard area into multiple stratified areas according to the coke quality level of the preset coke index; The segmentation unit is used to construct the segmentation objective function of each layered area with the height of each layered area and the preset coke index as multi-dimensional input parameters, and the area and working height of each layered area as constraints. Based on the segmentation objective function, the segmentation parameters of each layered area are calculated. Based on the segmentation parameters of each layered area, each layered area is segmented to generate multiple unit areas, and the preset storage label of each unit area is obtained to obtain the coke three-dimensional storage warehouse.

[0008] Preferably, the grid objective function for constructing the target layered region by the grid unit is expressed by formula (1), and the constraint condition for the target layered region is expressed by formula (2). The target layered region can be any layered region. (1); (2); In formula (1), α represents the space utilization weighting coefficient, β represents the storage weighting coefficient, γ represents the height weighting coefficient, and x i L represents the distance from the i-th unit region to the exit of the target layered region, L represents the length of the target layered region, and W represents the width of the target layered region. i W represents the length of the i-th cell region. i λ represents the width of the i-th cell region. ih represents the storage frequency of the i-th unit region, and h represents the height of the target hierarchical region; In formula (2), L min h represents the minimum length of the cell region. work This indicates the working height of the target layered area.

[0009] Preferably, the warehouse management module includes: Storage units are used to store each coke raw material pile in a coke automated storage warehouse according to its respective classification labels; The dynamic adjustment unit is used to acquire the dynamic information of each coke raw material pile in real time. Based on the dynamic information and the storage label of each unit area, it determines the abnormal unit area where the coke raw material pile with abnormal storage location is located. The multidimensional knapsack algorithm is used to adjust the coke raw material pile of each abnormal unit area to the corresponding optimal blank unit area. The blank unit area represents the unit area where no coke raw material pile is stored.

[0010] Preferably, the dynamic adjustment unit includes: The matching degree calculation subunit is used to acquire multiple types of dynamic information for each coke raw material pile in real time, and calculate the matching degree between each coke raw material pile and its unit area based on all types of dynamic information for each coke raw material pile and its storage label in the unit area. The abnormal unit region judgment sub-unit is defined as follows: if the matching degree between any coke raw material pile and its unit region is less than the matching degree threshold, the unit region is determined as an abnormal unit region. Adjust the sub-units, using the shortest adjustment path, matching degree, and storage space of each blank unit area as knapsack constraints. Calculate the knapsack cost from each blank unit area to each abnormal unit area. Select the blank unit area with the minimum knapsack cost corresponding to each abnormal unit area as the optimal blank unit area corresponding to each abnormal unit area, and adjust the coke raw material pile of each abnormal unit area to the corresponding optimal blank unit area.

[0011] Preferably, the path generation module includes: The production ratio generation unit is used to acquire the storage information of the coke three-dimensional storage warehouse, construct a ratio flow network based on each production plan and storage information, and generate the optimal production ratio for each production plan based on the ratio flow network. The path generation unit is used to construct a 3D warehouse based on warehousing information, obtain the 3D coordinates of each coke raw material pile in the 3D warehouse for each optimal production ratio, and then... The search algorithm and the three-dimensional coordinates of each coke feedstock pile generate the optimal material handling path for each production plan.

[0012] Preferably, the production ratio generation unit includes: The flow network construction subunit is used to obtain the storage information of the coke three-dimensional storage warehouse. The demand of the target production plan is used as the vertex set of the flow network, and the storage information is used as the edge set of the flow network to construct the flow network. The target production plan is any production plan among all production plans. The constraint addition sub-unit is used to add constraints to each edge in the allocation flow network according to the preset cost; The maximum flow calculation subunit is used to select any edge in the allocation flow network as the initial feasible flow, and search for the next edge in the allocation flow network whose path flow is greater than the initial feasible flow based on the initial feasible flow, until the edge with the maximum path flow in the allocation flow network is obtained as the maximum flow of the allocation flow network, and the optimal production allocation of the target production plan is generated with the maximum flow.

[0013] Preferably, the automated scheduling module includes: The scheduling queue construction unit is used to calculate the initial priority of each production plan based on the deadline of each production plan and the order in which the coke three-dimensional storage warehouse receives each production plan, and sort the initial priorities of each production plan to obtain the scheduling queue. The dynamic adjustment unit is used to identify new production plans inserted into the scheduling queue or production plans in the scheduling queue that have undergone plan changes as dynamic production plans, calculate the initial priority of the dynamic production plans, and insert the dynamic production plans into the corresponding positions in the scheduling queue according to the initial priority of the dynamic production plans. The instruction execution unit is used to generate dynamic scheduling instructions based on the dynamically adjusted scheduling queue, and to control the coke three-dimensional storage warehouse to execute the dynamic scheduling instructions.

[0014] All of the above-mentioned optional technical solutions can be combined arbitrarily, and the present invention will not provide a detailed description of the structure after each combination.

[0015] By means of the above solution, the beneficial effects of the present invention are as follows: The classification module generates each coke raw material pile and its classification label by combining quality indicators and production process indicators. The three-dimensional storage warehouse construction module generates a coke three-dimensional storage warehouse consisting of several unit areas and their storage labels in the material yard area. After storing all coke raw material piles in the coke three-dimensional storage warehouse according to their respective classification labels through the warehouse management module, the storage position of the coke raw material piles is further adjusted according to the dynamic information of the coke raw material piles. The coke three-dimensional storage warehouse constructed in this way not only improves the classification and storage system of coke, but also can adjust the optimal position of each coke raw material pile in the coke three-dimensional storage warehouse in real time according to the dynamic information of the coke raw material piles, realizing the dynamic intelligence of coke storage management and improving the accuracy of coke storage management. The optimal material retrieval path for each production plan is generated by the path generation module based on the optimal production ratio. The optimal material retrieval path for each production plan is constructed by the automated scheduling module. After dynamically adjusting the scheduling queue and generating dynamic scheduling instructions, the coke storage warehouse is controlled to execute the dynamic scheduling instructions. This provides a way to dynamically schedule the optimal material retrieval path for all production plans based on the transportation path cost and scheduling cost in the coke storage warehouse, thereby improving the intelligence of coke storage management and the efficiency of production operation.

[0016] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, the preferred embodiments of the present invention are described in detail below with reference to the accompanying drawings. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the structure of the control system for multi-variety coke storage in a steel plant provided in an embodiment of the present invention. Detailed Implementation

[0018] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0019] like Figure 1 As shown, this embodiment of the invention provides a control system for multi-variety coke storage in steel plants, which includes: The classification module is used to classify target coke raw materials by combining quality indicators and production process indicators, and generate multiple coke raw material piles and their classification labels. The three-dimensional storage warehouse construction module is used to divide the material yard area into layers and grids according to the preset coke index to generate a three-dimensional coke storage warehouse. The three-dimensional coke storage warehouse consists of multiple unit areas and their storage labels. The warehouse management module is used to store each coke raw material pile in the coke three-dimensional storage warehouse according to its own classification label, and to obtain the dynamic information of each coke raw material pile in real time. Based on the multidimensional knapsack algorithm and the dynamic information of each coke raw material pile, the storage location of each coke raw material pile is adjusted. The path generation module is used to obtain the storage information of the coke three-dimensional storage warehouse, generate the optimal production ratio for each production plan based on each production plan and the storage information, and generate the optimal material picking path for each production plan based on the optimal production ratio and the storage information. The automated scheduling module is used to construct a scheduling queue based on the optimal material picking path for each production plan, generate dynamic scheduling instructions by dynamically adjusting the scheduling queue, and control the coke three-dimensional storage warehouse to execute the dynamic scheduling instructions.

[0020] Specifically, in the classification module, target coke raw materials refer to various types of coke raw materials used as raw materials, including chemical coke, low-temperature coke, and high-strength coke. Quality indicators include crush resistance, abrasion resistance, reactivity with carbon dioxide, strength after reaction with carbon dioxide, ash content, and sulfur content. When classifying according to quality indicators, taking crush resistance and abrasion resistance as examples, target coke raw materials with crush resistance >85% and abrasion resistance <6% are classified as high-strength coke; target coke raw materials with crush resistance between 75% and 85% and abrasion resistance between 6% and 8% are classified as medium-strength coke, etc. Production process indicators include top-charging coking and tamping coking, etc. When classifying according to production process indicators, target coke raw materials used for top-charging coking are classified into one category, target coke raw materials used for tamping coking are classified into another category, and so on. Classification labels are generated based on quality indicators and production process indicators; for example, a certain classification label might be "high-strength coke for top-charging coking."

[0021] In the automated storage and retrieval system (AS / RS) warehouse construction module, the preset coke index is based on empirical values ​​to classify coke into three levels, typically three. Based on this, the material yard area is divided into upper, middle, and lower layers according to the preset coke index. The upper layer stores high-value, high-quality but relatively small-quantity special types of coke raw materials; the middle layer stores medium-quality, commonly used coke raw materials; and the lower layer stores large quantities of relatively ordinary coke raw materials. Effective isolation measures are implemented between each layer to prevent mixing of different types of coke raw materials. Dedicated discharge ports, outlets, and conveying equipment are also provided to facilitate on-demand material retrieval.

[0022] When dividing the material yard area into layers and compartments, the storage space of each layer and compartment is rationally planned according to the characteristics and usage frequency of different types of coke raw material piles. For example, frequently used high-quality coke raw material piles are stored in convenient locations near the outlet of the automated coke storage warehouse, while some special or less frequently used coke raw material piles are stored in higher or deeper locations within the warehouse. The automated coke storage warehouse is an intelligent warehouse that utilizes advanced sensor technology, positioning technology, and information management technology to achieve precise management of coke raw material piles.

[0023] In the warehouse management module, the multidimensional knapsack algorithm, an extension of the classic knapsack problem, is used in this embodiment of the invention to optimize the storage location of coke raw material piles in the coke automated storage warehouse based on the dynamic information of each coke raw material pile. The dynamic information of the coke raw material piles includes inventory quantity, remaining useful life, temperature, and cost.

[0024] In the path generation module, the storage information of the coke automated storage and retrieval warehouse consists of the dynamic information of each coke raw material pile, the location information of each coke raw material pile, and the structural information of the coke automated storage and retrieval warehouse. The production plan refers to the required quantity and type of coke raw materials based on production needs; the optimal production ratio refers to the lowest budgeted ratio scheme that can be obtained from the coke automated storage and retrieval warehouse, determined according to the production plan. The optimal material retrieval path refers to the shortest planned route for material retrieval by the conveying equipment in the coke automated storage and retrieval warehouse, determined according to the optimal production ratio.

[0025] In the automated scheduling module, the scheduling queue refers to the task queue generated according to the production plan and its optimal material picking path, used to coordinate and control the material picking sequence of different production plans. Dynamic scheduling instructions are generated after dynamic changes occur in the scheduling queue, and the execution target of these instructions is the conveying equipment in the coke automated storage warehouse.

[0026] In one specific embodiment, the classification priority of quality indicators is higher than that of production process indicators, and the classification module includes: The quality index classification unit is used to classify the target coke raw material according to the quality index and obtain the first classification result. The production process index classification unit is used to classify the target coke raw material according to the production process index to obtain the second classification result. The comprehensive classification unit is used to obtain the intersection of the first classification result and the second classification result as the intersection classification result. The target coke raw materials that do not belong to the intersection classification result are classified by quality indicators to obtain the third classification result. The intersection classification result and the third classification result are combined to generate multiple coke raw material piles and their classification labels.

[0027] Specifically, in the comprehensive classification unit, the classification label is a general classification label extracted from the comprehensive intersection classification result and the third classification result of each coke raw material pile.

[0028] In one specific embodiment, the automated storage warehouse construction module includes: The stratified unit is used to divide the material yard area into multiple stratified areas according to the coke quality level of the preset coke index; The segmentation unit is used to construct the segmentation objective function of each layered area with the height of each layered area and the preset coke index as multi-dimensional input parameters, and the area and working height of each layered area as constraints. Based on the segmentation objective function, the segmentation parameters of each layered area are calculated. Based on the segmentation parameters of each layered area, each layered area is segmented to generate multiple unit areas, and the preset storage label of each unit area is obtained to obtain the coke three-dimensional storage warehouse.

[0029] Specifically, in the stratified unit, the coke quality grades are divided into three types: upper-level high-grade, middle-level medium-grade, and lower-level ordinary.

[0030] In the segmented unit, the segmentation objective function is a mathematical model used to optimize and calculate the segmentation processing of the layered areas. In this embodiment of the invention, it is achieved by minimizing the objective function, and each layered area constructs its own segmentation objective function. The difference between each segmentation objective function lies in the different areas and working heights of each layered area in the constraints. When obtaining the preset storage label for each unit area, it is determined by the coke quality level and the pre-set storage content of the unit area. The storage label of the coke raw material pile contains dynamic information and warehousing information of the coke raw material pile.

[0031] In addition, the height of each layer in the automated coke storage warehouse is generally 3-5m. The size of each unit area is designed according to the batch size and storage cycle of different types of coke raw materials, with the minimum size capable of storing a coke raw material pile of no less than 10 tons. The inbound and outbound track system and stacking and retrieving equipment of the automated coke storage warehouse operate at a speed of 30m / min to ensure rapid storage and retrieval of coke raw material piles, with the time for storing or retrieving coke raw material piles in a single unit area not exceeding 10 minutes.

[0032] In a specific embodiment, the grid objective function of the constructed target layered region is represented by formula (1), and the constraint condition of the target layered region is represented by formula (2). The target layered region is any layered region: (1); (2); In formula (1), α represents the space utilization weighting coefficient, β represents the storage weighting coefficient, γ represents the height weighting coefficient, and x i L represents the distance from the i-th unit region to the exit of the target layered region, L represents the length of the target layered region, and W represents the width of the target layered region. i W represents the length of the i-th cell region. i λ represents the width of the i-th cell region. i h represents the storage frequency of the i-th unit region, and h represents the height of the target hierarchical region; In formula (2), L min h represents the minimum length of the cell region. work This indicates the working height of the target layered area.

[0033] Specifically, Formula (1) is a grid objective function that combines the area difference ratio between the minimizing unit area and the target layer area, storage efficiency (distance from the exit of the target layer area), and the height of the target layer area. Formula (2) is a constraint on the grid objective function in Formula (1). The space utilization weight coefficient, storage weight coefficient, and height weight coefficient are all determined by empirical values. The area in Formula (2) is reflected by the width and length of the layer area.

[0034] In one specific embodiment, the warehouse management module includes: Storage units are used to store each coke raw material pile in a coke automated storage warehouse according to its respective classification labels; The dynamic adjustment unit is used to acquire the dynamic information of each coke raw material pile in real time. Based on the dynamic information and the storage label of each unit area, it determines the abnormal unit area where the coke raw material pile with abnormal storage location is located. The multidimensional knapsack algorithm is used to adjust the coke raw material pile of each abnormal unit area to the corresponding optimal blank unit area. The blank unit area represents the unit area where no coke raw material pile is stored.

[0035] In the storage unit, the scanning equipment at the warehouse exit of the coke storage warehouse scans the vehicle identification information on the transport vehicle to record the storage information for each storage, and stores the storage information in the storage tag of the corresponding coke raw material pile.

[0036] Specifically, in a storage unit, for example, if the classification label of the coke raw material pile is high-grade strength coke for top-loading coking, it is stored in the storage unit area above the material yard area with the label of high-grade, top-loading coking, strength coke.

[0037] In the dynamic adjustment unit, an abnormal storage location of the coke raw material pile refers to a mismatch between the dynamic information of the coke raw material pile and the storage label of the storage unit area. This embodiment of the invention defines a unit area where the dynamic information does not match the storage label of the storage unit area as an abnormal unit area. The optimal blank unit area refers to the blank unit area within the abnormal unit area where the dynamic information of the coke raw material pile matches the storage label and the transfer cost is minimized.

[0038] In one specific embodiment, the dynamic adjustment unit includes: The matching degree calculation subunit is used to acquire multiple types of dynamic information for each coke raw material pile in real time, and calculate the matching degree between each coke raw material pile and its unit area based on all types of dynamic information for each coke raw material pile and its storage label in the unit area. The abnormal unit region judgment sub-unit is defined as follows: if the matching degree between any coke raw material pile and its unit region is less than the matching degree threshold, the unit region is determined as an abnormal unit region. Adjust the sub-units, using the shortest adjustment path, matching degree, and storage space of each blank unit area as knapsack constraints. Calculate the knapsack cost from each blank unit area to each abnormal unit area. Select the blank unit area with the minimum knapsack cost corresponding to each abnormal unit area as the optimal blank unit area corresponding to each abnormal unit area, and adjust the coke raw material pile of each abnormal unit area to the corresponding optimal blank unit area.

[0039] Specifically, temperature information in the dynamic information can be obtained using temperature sensors pre-installed in the coke storage warehouse; inventory quantity can be obtained based on the original storage quantity and inbound / outbound information; remaining service life can be obtained based on the pre-set optimal service life of the coke raw material pile and inbound information; and cost can be obtained by calculating the price per ton of raw material in the coke raw material pile using inbound information. Each unit area has a pre-set matching degree of 10. If the remaining service life of the coke raw material pile in a certain unit area is 0, the matching degree between that coke raw material pile and its unit area is reduced by 3 to 7. If the inventory quantity of the coke raw material pile in that unit area is 20t, and the storage label for that unit area is 50t, the matching degree between that coke raw material pile and its unit area is further reduced by 2 to 5.

[0040] In the sub-unit for judging abnormal unit regions, the matching degree threshold is a maximum matching value determined by experience.

[0041] In the adjustment sub-unit, the knapsack constraint refers to the multi-dimensional restrictions imposed on the coke raw material pile when using the multi-dimensional knapsack algorithm for warehouse optimization. These constraints include the shortest adjustment path, matching degree, and storage space for each empty unit area. The knapsack cost refers to the total cost involved in adjusting the coke raw material pile from an abnormal unit area to an empty unit area. It is obtained by superimposing the path adjustment cost, matching degree cost, and storage space cost of the empty unit area. Specifically, the path adjustment cost represents the distance the coke raw material pile moves from an abnormal unit area to a certain empty unit area; the matching degree cost represents the matching degree between the coke raw material pile and the empty unit area; and the storage space cost of the empty unit area is the remaining space size of that empty unit area. Specifically, when calculating the knapsack cost for a certain empty unit area, the weights of the path adjustment cost, matching degree, and storage space are first determined empirically. Then, each weight and its cost are multiplied and summed to obtain the total cost of adjusting the coke raw material pile from the abnormal unit area to the empty unit area.

[0042] In one specific embodiment, the path generation module includes: The production ratio generation unit is used to acquire the storage information of the coke three-dimensional storage warehouse, construct a ratio flow network based on each production plan and storage information, and generate the optimal production ratio for each production plan based on the ratio flow network. The path generation unit is used to construct a 3D warehouse based on warehousing information, obtain the 3D coordinates of each coke raw material pile in the 3D warehouse for each optimal production ratio, and then... The search algorithm and the three-dimensional coordinates of each coke feedstock pile generate the optimal material handling path for each production plan.

[0043] Specifically, in the production ratio generation unit, the ratio flow network is a network model that uses the concept of flow to schedule and allocate resources for each coke raw material pile. It consists of an edge set and a vertex set. In this embodiment of the invention, the production plan demand is used as the vertex set of the ratio flow network, and the storage information is used as the edge set of the ratio flow network.

[0044] In the path generation unit, the three-dimensional warehouse refers to a model that simultaneously describes the location of each layer area and all unit areas of the coke three-dimensional storage warehouse. For example, the three-dimensional coordinates of unit area Y are (1,6,8), where 1 represents the level 1, and 6 and 8 represent the horizontal and vertical positions of unit area Y in level 1. The search algorithm is a common algorithm used for path search. In this embodiment of the invention, the algorithm is used to generate the optimal material picking path for each production plan.

[0045] In one specific embodiment, the production ratio generation unit includes: The flow network construction subunit is used to obtain the storage information of the coke three-dimensional storage warehouse. The demand of the target production plan is used as the vertex set of the flow network, and the storage information is used as the edge set of the flow network to construct the flow network. The target production plan is any production plan among all production plans. The constraint addition sub-unit is used to add constraints to each edge in the allocation flow network according to the preset cost; The maximum flow calculation subunit is used to select any edge in the allocation flow network as the initial feasible flow, and search for the next edge in the allocation flow network whose path flow is greater than the initial feasible flow based on the initial feasible flow, until the edge with the maximum path flow in the allocation flow network is obtained as the maximum flow of the allocation flow network, and the optimal production allocation of the target production plan is generated with the maximum flow.

[0046] Specifically, in the flow network construction sub-unit, the demand of a production plan refers to the quantity of raw materials and the production target required for a specific production process. For example, the demand of a certain production plan is for a total of 100 tons of three types of raw materials: 50 tons for coke raw material pile 1, 80 tons for coke raw material pile 2, and 30 tons for coke raw material pile 3; the production target of this production plan is a cost of 1 million yuan.

[0047] In the constraint-added sub-cell, the preset cost refers to the real-time market price of each coke feedstock pile.

[0048] In the maximum flow calculation subunit, the initial feasible flow refers to an initial flow allocation scheme that meets all constraints when the maximum flow calculation begins. Subsequently, the edge with the maximum flow is found in the allocation flow network. The maximum flow refers to the allocation scheme with the largest flow in the allocation flow network.

[0049] In one specific embodiment, the automated scheduling module includes: The scheduling queue construction unit is used to calculate the initial priority of each production plan based on the deadline of each production plan and the order in which the coke three-dimensional storage warehouse receives each production plan, and sort the initial priorities of each production plan to obtain the scheduling queue. The dynamic adjustment unit is used to identify new production plans inserted into the scheduling queue or production plans in the scheduling queue that have undergone plan changes as dynamic production plans, calculate the initial priority of the dynamic production plans, and insert the dynamic production plans into the corresponding positions in the scheduling queue according to the initial priority of the dynamic production plans. The instruction execution unit is used to generate dynamic scheduling instructions based on the dynamically adjusted scheduling queue, and to control the coke three-dimensional storage warehouse to execute the dynamic scheduling instructions.

[0050] Specifically, in the scheduling queue construction unit, assuming there are 3 production plans a, b and c, their deadlines are ordered as tb < tc = ta, and the coke three-dimensional storage warehouse receives each production plan in the order of A, B and C, then the generated scheduling queue is [b, a, c], with initial priorities of 3, 2 and 1 respectively.

[0051] In the dynamic adjustment unit, the principle for calculating the initial priority of the dynamic production plan is the same as the principle for calculating the initial priority of each production plan.

[0052] After inserting the dynamic production plan into the scheduling queue, the initial priority of all production plans following the dynamic production plan in the scheduling queue is increased by a preset change value. Continuing with the example above, when production plan e with an initial priority of 4 is inserted into the scheduling queue [b, a, c], the new scheduling queue becomes [b, e, a, c]. That is, the currently executing production plan b does not participate in scheduling, and the priorities of production plans a and c are increased by 1, becoming 3 and 2 respectively.

[0053] Based on all the above embodiments, this invention proposes a control system for multi-variety coke storage in steel plants, which has the following beneficial effects: First, the classification module classifies the target coke raw materials by combining quality indicators and production process indicators, generating multiple coke raw material piles and their classification labels. Combining these two classification methods allows for consideration of both coke quality and production process requirements, providing a refined classification basis for the subsequent storage of coke raw material piles.

[0054] The three-dimensional storage warehouse construction module divides the material yard area into layers and grids according to preset coke indicators and obtains preset storage labels for each unit area to generate a coke three-dimensional storage warehouse. It establishes a scientific classification and storage system, and can more clearly grasp the variety, quantity and quality of the inventory in the warehouse based on the storage labels of each unit area, providing a storage foundation for coke raw material piles.

[0055] The warehouse management module stores each coke raw material pile in the coke automated storage warehouse according to its own classification label, and obtains the dynamic information of each coke raw material pile in real time to adjust the storage location of each coke raw material pile. This realizes the automated arrangement and adjustment of the storage location of coke raw material piles based on the dynamic information of each coke raw material pile, which greatly improves the flexibility and rationality of coke storage control.

[0056] For the material retrieval process in the coke automated storage and retrieval warehouse, the path generation module acquires the warehouse's storage information, generates the optimal production ratio for each production plan based on the storage information, and generates the optimal material retrieval path for each production plan based on the optimal production ratio and the storage information. The automated scheduling module then constructs a scheduling queue based on all optimal material retrieval paths, generates dynamic scheduling instructions by dynamically adjusting the scheduling queue, and controls the coke automated storage and retrieval warehouse to execute these instructions. This optimizes the entire material retrieval and scheduling process of the coke automated storage and retrieval warehouse, making it more intelligent and the process clearer, thereby improving the overall production and operation efficiency and quality stability of the coke automated storage and retrieval warehouse.

[0057] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A control system for multi-variety coke storage in a steel plant, characterized in that, include: The classification module is used to classify target coke raw materials by combining quality indicators and production process indicators, and generate multiple coke raw material piles and their classification labels. The three-dimensional storage warehouse construction module is used to divide the material yard area into layers and grids according to the preset coke index to generate a three-dimensional coke storage warehouse. The three-dimensional coke storage warehouse consists of multiple unit areas and their storage labels. The warehouse management module is used to store each coke raw material pile in the coke three-dimensional storage warehouse according to its own classification label, and to obtain the dynamic information of each coke raw material pile in real time. Based on the multidimensional knapsack algorithm and the dynamic information of each coke raw material pile, the storage location of each coke raw material pile is adjusted. The path generation module is used to obtain the storage information of the coke three-dimensional storage warehouse, generate the optimal production ratio for each production plan based on each production plan and the storage information, and generate the optimal material picking path for each production plan based on the optimal production ratio and the storage information. The automated scheduling module is used to construct a scheduling queue based on the optimal material picking path for each production plan, generate dynamic scheduling instructions by dynamically adjusting the scheduling queue, and control the coke three-dimensional storage warehouse to execute the dynamic scheduling instructions.

2. The control system for multi-variety coke storage in steel plants according to claim 1, characterized in that, The quality indicators have a higher classification priority than the production process indicators, and the classification module includes: The quality index classification unit is used to classify the target coke raw material according to the quality index and obtain the first classification result. The production process index classification unit is used to classify the target coke raw material according to the production process index to obtain the second classification result. The comprehensive classification unit is used to obtain the intersection of the first classification result and the second classification result as the intersection classification result. The target coke raw materials that do not belong to the intersection classification result are classified by quality indicators to obtain the third classification result. The intersection classification result and the third classification result are combined to generate multiple coke raw material piles and their classification labels.

3. The control system for multi-variety coke storage in steel plants according to claim 1, characterized in that, The automated storage warehouse construction module includes: The stratified unit is used to divide the material yard area into multiple stratified areas according to the coke quality level of the preset coke index; The segmentation unit is used to construct the segmentation objective function of each layered area with the height of each layered area and the preset coke index as multi-dimensional input parameters, and the area and working height of each layered area as constraints. Based on the segmentation objective function, the segmentation parameters of each layered area are calculated. Based on the segmentation parameters of each layered area, each layered area is segmented to generate multiple unit areas, and the preset storage label of each unit area is obtained to obtain the coke three-dimensional storage warehouse.

4. The control system for multi-variety coke storage in steel plants according to claim 3, characterized in that, The grid objective function for constructing the target layered region by the grid unit is expressed by formula (1), and the constraint condition for the target layered region is expressed by formula (2). The target layered region can be any layered region. （1）； （2）； In formula (1), α represents the space utilization weighting coefficient, β represents the storage weighting coefficient, γ represents the height weighting coefficient, and x i L represents the distance from the i-th unit region to the exit of the target layered region, L represents the length of the target layered region, and W represents the width of the target layered region. i W represents the length of the i-th cell region. i λ represents the width of the i-th cell region. i h represents the storage frequency of the i-th unit region, and h represents the height of the target hierarchical region; In formula (2), L min h represents the minimum length of the cell region. work This indicates the working height of the target layered area.

5. The control system for multi-variety coke storage in steel plants according to claim 1, characterized in that, The warehouse management module includes: Storage units are used to store each coke raw material pile in a coke automated storage warehouse according to its respective classification labels; The dynamic adjustment unit is used to acquire the dynamic information of each coke raw material pile in real time. Based on the dynamic information and the storage label of each unit area, it determines the abnormal unit area where the coke raw material pile with abnormal storage location is located. The multidimensional knapsack algorithm is used to adjust the coke raw material pile of each abnormal unit area to the corresponding optimal blank unit area. The blank unit area represents the unit area where no coke raw material pile is stored.

6. The control system for multi-variety coke storage in steel plants according to claim 5, characterized in that, The dynamic adjustment unit includes: The matching degree calculation subunit is used to acquire multiple types of dynamic information for each coke raw material pile in real time, and calculate the matching degree between each coke raw material pile and its unit area based on all types of dynamic information for each coke raw material pile and its storage label in the unit area. The abnormal unit region judgment sub-unit is defined as follows: if the matching degree between any coke raw material pile and its unit region is less than the matching degree threshold, the unit region is determined as an abnormal unit region. Adjust the sub-units, using the shortest adjustment path, matching degree, and storage space of each blank unit area as knapsack constraints. Calculate the knapsack cost from each blank unit area to each abnormal unit area. Select the blank unit area with the minimum knapsack cost corresponding to each abnormal unit area as the optimal blank unit area corresponding to each abnormal unit area, and adjust the coke raw material pile of each abnormal unit area to the corresponding optimal blank unit area.

7. The control system for multi-variety coke storage in steel plants according to claim 1, characterized in that, The path generation module includes: The production ratio generation unit is used to acquire the storage information of the coke three-dimensional storage warehouse, construct a ratio flow network based on each production plan and storage information, and generate the optimal production ratio for each production plan based on the ratio flow network. The path generation unit is used to construct a 3D warehouse based on warehousing information, obtain the 3D coordinates of each coke raw material pile in the 3D warehouse for each optimal production ratio, and then... The search algorithm and the three-dimensional coordinates of each coke feedstock pile generate the optimal material handling path for each production plan.

8. The control system for multi-variety coke storage in steel plants according to claim 7, characterized in that, The production ratio generation unit includes: The flow network construction subunit is used to obtain the storage information of the coke three-dimensional storage warehouse. The demand of the target production plan is used as the vertex set of the flow network, and the storage information is used as the edge set of the flow network to construct the flow network. The target production plan is any production plan among all production plans. The constraint addition sub-unit is used to add constraints to each edge in the allocation flow network according to the preset cost; The maximum flow calculation subunit is used to select any edge in the allocation flow network as the initial feasible flow, and search for the next edge in the allocation flow network whose path flow is greater than the initial feasible flow based on the initial feasible flow, until the edge with the maximum path flow in the allocation flow network is obtained as the maximum flow of the allocation flow network, and the optimal production allocation of the target production plan is generated with the maximum flow.

9. The control system for multi-variety coke storage in steel plants according to claim 1, characterized in that, The automated scheduling module includes: The scheduling queue construction unit is used to calculate the initial priority of each production plan based on the deadline of each production plan and the order in which the coke three-dimensional storage warehouse receives each production plan, and sort the initial priorities of each production plan to obtain the scheduling queue. The dynamic adjustment unit is used to identify new production plans inserted into the scheduling queue or production plans in the scheduling queue that have undergone plan changes as dynamic production plans, calculate the initial priority of the dynamic production plans, and insert the dynamic production plans into the corresponding positions in the scheduling queue according to the initial priority of the dynamic production plans. The instruction execution unit is used to generate dynamic scheduling instructions based on the dynamically adjusted scheduling queue, and to control the coke three-dimensional storage warehouse to execute the dynamic scheduling instructions.

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