Control system for multi-variety coke storage in steel plant

Abstract

The present application relates to a steel plant multi-variety coke storage control system, belonging to the technical field of coke storage control. The steel plant multi-variety coke storage control system comprises: a classification module for classifying target coke raw materials according to quality indicators and production process indicators to generate multiple coke raw material piles and their classification labels; a three-dimensional storage warehouse construction module for layering and gridding the stockyard area to generate a coke three-dimensional storage warehouse; a warehouse management module for storing each coke raw material pile in the coke three-dimensional storage warehouse and adjusting its storage location according to the dynamic information of each coke raw material pile; a path generation module for generating the optimal production ratio of each production plan and the optimal material taking path of each production plan according to each production plan and storage information; and an automated scheduling module for generating dynamic scheduling instructions according to each production plan and executing the same. The present application improves the intelligence of coke storage management and production operation efficiency.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of coke storage control, and particularly relates to a control system for multi-variety coke storage in a steel plant. BACKGROUND

[0002] Different coke qualities are required in the steel production process, and different ironmaking processes and different product quality targets require coke with different quality characteristics. Coke production enterprises often produce multi-variety coke with different strength grades, different reactivities, and different post-reaction strengths.

[0003] Now, some large steel plants have developed intelligent coke yards, mainly using advanced sensor technology and big data technology to accurately manage the storage of multi-variety coke. Specifically, by setting positioning devices and weight sensors in the yard, the storage position, quantity, and in-out of the coke can be mastered in real time.

[0004] However, the existing technology for classifying and storing multi-variety coke is not perfect, and the variety, quantity, and quality of the coke inventory cannot be clearly mastered. Moreover, when taking coke from the yard according to the production plan, the transportation path cost and scheduling cost are not combined, which reduces the intelligence of the storage management of the coke in the yard and the production and operation efficiency. SUMMARY

[0005] To solve the above technical problems, the present application provides a control system for multi-variety coke storage in a steel plant. The technical scheme of the present application is as follows:

[0006] The present application provides a control system for multi-variety coke storage in a steel plant, which comprises:

[0007] A classification module is used to classify target coke raw materials according to quality indicators and production process indicators, and generate a plurality of coke raw material piles and their classification labels.

[0008] A three-dimensional storage warehouse construction module is used to layer and grid the yard area according to preset coke indicators, and generate a coke three-dimensional storage warehouse, wherein the coke three-dimensional storage warehouse is composed of a plurality of unit areas and their storage labels.

[0009] A warehouse management module is used to store each coke raw material pile in the coke three-dimensional storage warehouse according to its classification label, and real-time acquire dynamic information of each coke raw material pile, and adjust the storage position of each coke raw material pile according to the multi-dimensional knapsack algorithm and the dynamic information of each coke raw material pile.

[0010] A path generation module is used to acquire storage information of the coke three-dimensional storage warehouse, generate an optimal production ratio for each production plan according to each production plan and the storage information, and generate an optimal material taking path for each production plan according to the optimal production ratio for each production plan and the storage information.

[0011] An automatic scheduling module is configured to construct a scheduling queue according to the optimal material taking path of 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.

[0012] Preferably, the classification priority of the quality indicators is higher than that of the production process indicators, and the classification module comprises:

[0013] A quality indicator classification unit is configured to perform quality indicator classification on the target coke raw material by using the quality indicators, to obtain a first classification result.

[0014] A production process indicator classification unit is configured to perform production process indicator classification on the target coke raw material by using the production process indicators, to obtain a second classification result.

[0015] A comprehensive classification unit is configured to obtain an intersection of the first classification result and the second classification result as an intersection classification result, perform quality indicator classification on the target coke raw material that does not belong to the intersection classification result, to obtain a third classification result, and generate a plurality of coke raw material piles and classification labels thereof by comprehensively combining the intersection classification result and the third classification result.

[0016] Preferably, the three-dimensional storage warehouse construction module comprises:

[0017] A layering unit is configured to divide the stockyard area into a plurality of layering areas according to coke quality levels of preset coke indicators.

[0018] A gridding unit is configured to construct a gridding objective function of each layering area by taking the height of each layering area and the preset coke indicators as multi-dimensional input parameters, and taking the area and the operation height of each layering area as constraint conditions, calculate gridding parameters of each layering area based on the gridding objective function, perform gridding processing on each layering area based on the gridding parameters of each layering area, generate a plurality of unit areas, obtain preset storage labels for each unit area, and obtain the coke three-dimensional storage warehouse.

[0019] Preferably, the warehouse management module comprises:

[0020] A storage unit is configured to store each coke raw material pile in the coke three-dimensional storage warehouse according to the classification label of each coke raw material pile.

[0021] A dynamic adjustment unit is configured to obtain dynamic information of each coke raw material pile in real time, determine an abnormal unit area where a coke raw material pile with an abnormal storage position is located according to the dynamic information and the storage label of each unit area, and adjust the coke raw material pile in each abnormal unit area to a corresponding optimal blank unit area by using a multi-dimensional knapsack algorithm, wherein the blank unit area represents a unit area without storing a coke raw material pile.

[0022] Preferably, the dynamic adjustment unit comprises:

[0023] a matching degree calculation sub-unit, configured to acquire multiple types of dynamic information of each coke raw material pile in real time, and calculate a matching degree of each coke raw material pile with a unit area where the coke raw material pile is located according to all types of dynamic information of the coke raw material pile and a storage label of the unit area;

[0024] an abnormal unit area judgment sub-unit, configured to determine a unit area as an abnormal unit area if a matching degree of any coke raw material pile with the unit area is less than a matching degree threshold value;

[0025] an adjustment sub-unit, configured to take a shortest adjustment path, a matching degree and a storage space of each blank unit area as knapsack constraint conditions, calculate a knapsack cost of each blank unit area to each abnormal unit area, select a blank unit area corresponding to a minimum knapsack cost of each abnormal unit area as an optimal blank unit area corresponding to the abnormal unit area, and adjust coke raw material piles of each abnormal unit area into the optimal blank unit area.

[0026] Preferably, the path generation module comprises:

[0027] a production ratio generation unit, configured to acquire storage information of a coke three-dimensional storage warehouse, construct a ratio flow network according to each production plan and the storage information, and generate an optimal production ratio of each production plan based on the ratio flow network;

[0028] a path generation unit, configured to construct a three-dimensional warehouse according to the storage information, acquire three-dimensional coordinates of each coke raw material pile in the three-dimensional warehouse in each optimal production ratio, and generate an optimal material taking path of each production plan according to a search algorithm and the three-dimensional coordinates of each coke raw material pile.

[0029] Preferably, the production ratio generation unit comprises:

[0030] a flow network construction sub-unit, configured to acquire storage information of a coke three-dimensional storage warehouse, take a demand of a target production plan as a vertex set of the ratio flow network, and construct the ratio flow network by taking the storage information as an edge set of the ratio flow network, the target production plan being any production plan in all production plans;

[0031] a constraint condition adding sub-unit, configured to add a constraint condition for each edge in the ratio flow network according to a preset cost;

[0032] ​The maximum flow calculation subunit is configured to select any edge in the proportion flow network as an initial feasible flow, search for a next edge in the proportion flow network according to the initial feasible flow, until an edge with the maximum path flow in the proportion flow network is obtained as the maximum flow of the proportion flow network, and generate an optimal production proportion of the target production plan according to the maximum flow.

[0033] Preferably, the automatic scheduling module comprises:

[0034] The scheduling queue construction unit is configured to calculate an initial priority of each production plan according to a deadline of each production plan and a sequence in which the coke stereoscopic storage warehouse receives each production plan, sort the initial priorities of the production plans, and obtain a scheduling queue.

[0035] The dynamic adjustment unit is configured to determine a new production plan inserted into the scheduling queue or a production plan with a plan change in the scheduling queue as a dynamic production plan, calculate an initial priority of the dynamic production plan, and insert the dynamic production plan into a corresponding position in the scheduling queue according to the initial priority of the dynamic production plan.

[0036] The instruction execution unit is configured to generate a dynamic scheduling instruction according to the dynamically adjusted scheduling queue, and control the coke stereoscopic storage warehouse to execute the dynamic scheduling instruction.

[0037] All the optional technical solutions described above can be combined arbitrarily, and the application does not describe the structures after the combination in detail.

[0038] Through the above-mentioned solutions, the application has the following beneficial effects:

[0039] The classification module generates each coke raw material pile and a classification label thereof according to the quality index and the production process index, the stereoscopic storage warehouse construction module generates the coke stereoscopic storage warehouse composed of a plurality of unit areas and storage labels thereof according to the material yard area, and the warehouse management module stores all the coke raw material piles into the coke stereoscopic storage warehouse according to the classification labels thereof. Furthermore, the storage positions of the coke raw material piles are adjusted according to the dynamic information of the coke raw material piles. The coke stereoscopic storage warehouse constructed in this way not only improves the classification and storage system of the coke, but also adjusts the optimal positions of the coke raw material piles in the coke stereoscopic storage warehouse according to the dynamic information of the coke raw material piles in real time, realizes the dynamic and intelligent degree of the coke storage management, and improves the accuracy of the coke storage management.

[0040] The optimal material taking path of each production plan is generated by the path generation module according to the optimal production ratio of each production plan; and the scheduling queue is constructed by the automatic scheduling module according to the optimal material taking path of each production plan, and after the dynamic scheduling instruction is generated by dynamically adjusting the scheduling queue, the dynamic scheduling instruction is executed by controlling the coke three-dimensional storage warehouse, a way of dynamically scheduling the optimal material taking path of all production plans based on the transportation path cost and scheduling cost in the coke three-dimensional storage warehouse is provided, and the intelligence and production operation efficiency of coke storage management are improved.

[0041] The above description is only a summary of the technical scheme of the present application. In order to more clearly understand the technical means of the present application and to implement the content of the description, the preferred embodiments of the present application are described in detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 FIG. 1 is a structural schematic diagram of a control system for multi-variety coke storage in a steel plant provided by an embodiment of the present application. DETAILED DESCRIPTION

[0043] The specific embodiments of the present application are further described in detail below with reference to the accompanying drawings and examples. The following examples are used to illustrate the present application, but are not used to limit the scope of the present application.

[0044] As shown in FIG. 1, the control system for multi-variety coke storage in a steel plant provided by an embodiment of the present application includes: Figure 1 a classification module, configured to classify target coke raw materials in combination with quality indicators and production process indicators, and generate a plurality of coke raw material piles and classification labels thereof;

[0045] a three-dimensional storage warehouse construction module, configured to layer and grid the stockyard area according to preset coke indicators, and generate a coke three-dimensional storage warehouse, wherein the coke three-dimensional storage warehouse is composed of a plurality of unit areas and storage labels thereof;

[0046] a warehouse management module, configured to store each coke raw material pile in the coke three-dimensional storage warehouse according to the classification label of each coke raw material pile, and acquire dynamic information of each coke raw material pile in real time, and adjust the storage position of each coke raw material pile according to a multi-dimensional knapsack algorithm and the dynamic information of each coke raw material pile;

[0047] a path generation module, configured to acquire storage information of the coke three-dimensional storage warehouse, generate an optimal production ratio of each production plan according to each production plan and the storage information, and generate an optimal material taking path of each production plan according to the optimal production ratio of each production plan and the storage information;

[0048]

[0049] ​An automatic scheduling module is configured to construct a scheduling queue according to the optimal material taking path of each production plan, generate a dynamic scheduling instruction by dynamically adjusting the scheduling queue, and control the coke three-dimensional storage warehouse to execute the dynamic scheduling instruction.

[0050] Specifically, in the classification module, the target coke raw material refers to various types of coke raw materials as raw materials, including chemical coke, low-temperature coke, and high-strength coke, etc. The quality indicators include crushing strength, abrasion resistance, reactivity with carbon dioxide, strength after reaction with carbon dioxide, ash content, sulfur content, etc. For example, in the classification according to the quality indicators, the target coke raw material with a crushing strength > 85% and an abrasion resistance < 6% is classified as high-grade high-strength coke, the target coke raw material with a crushing strength between 75% and 85% and an abrasion resistance between 6% and 8% is classified as medium-grade high-strength coke, etc. The production process indicators include top-charging coking and stamp-charging coking, etc. For example, in the classification according to the production process indicators, the target coke raw material for top-charging coking is classified as one type, the target coke raw material for stamp-charging coking is classified as one type, etc. The classification labels are generated according to the quality indicators and the production process indicators. For example, a certain classification label is high-grade high-strength coke for top-charging coking.

[0051] In the three-dimensional storage warehouse construction module, the preset coke indicators are coke levels divided according to empirical values, generally three levels. On this basis, the stockyard area is divided into three layers, i.e., an upper layer, a middle layer, and a lower layer, according to the preset coke indicators. The upper layer stores special coke raw material stack varieties with high value, high quality, and relatively small amount. The middle layer stores medium-quality commonly used coke raw material stacks. The lower layer stores coke raw material stacks with large amount and relatively ordinary quality. Effective isolation measures are provided between the layers to prevent mixing of different layers of coke raw material stacks. Special discharge ports, exits, and conveying equipment are also provided to facilitate material taking according to demand.

[0052] When the stockyard area is layered and gridded, the storage space of each layer and each grid is reasonably planned according to the characteristics and usage frequency of different types of coke raw material stacks. For example, commonly used high-quality coke raw material stack varieties are stored in a convenient location close to the coke three-dimensional storage warehouse exit, while some special or less frequently used coke raw material stack varieties are stored in a higher or deeper location of the coke three-dimensional storage warehouse. The coke three-dimensional storage warehouse is an intelligent warehouse that uses advanced sensor technology, positioning technology, and information management technology to accurately manage coke raw material stacks.

[0053] In the warehouse management module, the multi-dimensional knapsack algorithm is an extended form of the classic knapsack problem, which is used to optimize the storage location of coke raw material stacks in the coke three-dimensional storage warehouse according to the dynamic information of each coke raw material stack. The dynamic information of the coke raw material stack includes inventory quantity, remaining service life, temperature, and cost, etc.

[0054] In the path generation module, the storage information of the coke three-dimensional storage warehouse is composed of dynamic information of each coke raw material pile, position information of each coke raw material pile, and structure information of the coke three-dimensional storage warehouse. The production plan refers to the demand amount and type of coke raw material prepared according to production demand; the optimal production ratio refers to a ratio scheme with the lowest budget that can be obtained in the coke three-dimensional storage warehouse according to the production plan. The optimal material taking path refers to the shortest material taking planning route of the conveying equipment in the coke three-dimensional storage warehouse according to the optimal production ratio.

[0055] In the automatic scheduling module, the scheduling queue refers to a task queue generated according to the production plan and the optimal material taking path, and is used to coordinate and control the material taking sequence of different production plans. The dynamic scheduling instruction is a scheduling instruction generated after the scheduling queue changes dynamically, and the execution object of the scheduling instruction is the conveying equipment in the coke three-dimensional storage warehouse.

[0056] In a specific embodiment, the classification priority of the quality index is higher than that of the production process index, and the classification module comprises:

[0057] The quality index classification unit is configured to perform quality index classification on the target coke raw material by using the quality index, to obtain a first classification result.

[0058] The production process index classification unit is configured to perform production process index classification on the target coke raw material by using the production process index, to obtain a second classification result.

[0059] The comprehensive classification unit is configured to obtain an intersection of the first classification result and the second classification result as an intersection classification result, perform quality index classification on the target coke raw material that does not belong to the intersection classification result, to obtain a third classification result, and generate a plurality of coke raw material piles and classification labels thereof by comprehensively combining the intersection classification result and the third classification result.

[0060] Specifically, in the comprehensive classification unit, the classification label is a total classification label extracted from the results of the comprehensive intersection classification result and the third classification result of each coke raw material pile.

[0061] In a specific embodiment, the three-dimensional storage warehouse construction module comprises:

[0062] The layering unit is configured to divide the stockyard area into a plurality of layered areas according to coke quality levels of preset coke indexes.

[0063] The grading unit is configured to take the height of each layered area and a preset coke index as a multi-dimensional input parameter, take the area and operation height of each layered area as a constraint condition to construct a grading target function of each layered area, calculate a grading parameter of each layered area based on the grading target function, perform grading processing on each layered area based on the grading parameter of each layered area, generate a plurality of unit areas, and obtain a preset storage label for each unit area, thereby obtaining the coke three-dimensional storage warehouse.

[0064] Specifically, in the layering unit, the coke quality level is divided into three levels, i.e., an upper layer high level, a middle layer medium level, and a lower layer ordinary level.

[0065] In the grading unit, the grading target function is a mathematical model used to optimize and calculate the grading processing of the layered area. In the embodiment of the present application, the grading target function is realized by minimization, and each layered area constructs a respective grading target function. The difference between each grading target function lies in that the area and operation height of each layered area are different in the constraint condition. When obtaining the preset storage label for each unit area, the coke quality level and the storage content of the unit area are determined in advance. The storage label of the coke raw material pile contains dynamic information and warehouse entry information of the coke raw material pile.

[0066] In addition, the height of each layered area of the coke three-dimensional storage warehouse is generally 3-5 m. The size of each unit area is designed according to the batch and storage period of different varieties of coke raw material piles. The minimum size can meet the requirement of storing not less than 10 tons of coke raw material piles. The running speed of the warehouse entry and exit track system and the stacker-reclaimer equipment of the coke three-dimensional storage warehouse reaches 30 m / min, so as to ensure the rapid storage and retrieval of the coke raw material piles. The time for storing and retrieving a single unit area of coke raw material piles is not more than 10 minutes.

[0067] In a specific embodiment, the warehouse management module comprises:

[0068] The storage unit is configured to store each coke raw material pile in the coke three-dimensional storage warehouse according to the respective classification label.

[0069] The dynamic adjustment unit is configured to obtain dynamic information of each coke raw material pile in real time, determine an abnormal unit area where a coke raw material pile with an abnormal storage position is located according to the dynamic information and the storage label of each unit area, and adjust the coke raw material pile in each abnormal unit area to a corresponding optimal blank unit area by using a multi-dimensional knapsack algorithm, wherein the blank unit area represents a unit area without storing a coke raw material pile.

[0070] In the storage unit, the vehicle identification information on the transport vehicle is scanned by a scanning device at a warehouse entry and exit port of the coke three-dimensional storage warehouse to record the warehouse entry information of each storage, and the warehouse entry information is stored in the storage label of the corresponding coke raw material pile.

[0071] Specifically, in the storage unit, for example, if the classification label of the coke raw material pile is high-grade strength coke for top coking, it is stored in the unit area with the storage label of high-grade, top coking, and strength coke on the upper layer of the stockyard area.

[0072] In the dynamic adjustment unit, the storage location exception of the coke raw material pile refers to that the dynamic information of the coke raw material pile does not match the storage label of the stored unit area, and the unit area with the dynamic information not matching the storage label of the stored unit area is defined as an abnormal unit area by the embodiment of the present application. The optimal blank unit area refers to the blank unit area with the dynamic information corresponding to the coke raw material pile in the abnormal unit area matching the storage label and the minimum transfer cost.

[0073] In one specific embodiment, the dynamic adjustment unit comprises:

[0074] The matching degree calculation sub-unit is configured to acquire the dynamic information of each coke raw material pile in real time, and calculate the matching degree between each coke raw material pile and the unit area where the coke raw material pile is located according to all types of dynamic information of each coke raw material pile and the storage label of the unit area where the coke raw material pile is located.

[0075] The abnormal unit area judgment sub-unit is configured to determine the unit area as an abnormal unit area if the matching degree between any coke raw material pile and the unit area where the coke raw material pile is located is less than the matching degree threshold.

[0076] The adjustment sub-unit takes the shortest adjustment path, the matching degree, and the storage space of each blank unit area as the knapsack constraint condition, calculates the knapsack cost of each blank unit area to each abnormal unit area, selects the blank unit area corresponding to the minimum knapsack cost of each abnormal unit area as the optimal blank unit area corresponding to each abnormal unit area, and adjusts the coke raw material pile of each abnormal unit area to the corresponding optimal blank unit area.

[0077] Specifically, in the acquisition of the temperature information in the dynamic information, the temperature sensor pre-installed in the coke cubic storage warehouse can be used; in the acquisition of the inventory quantity in the dynamic information, the original storage quantity and the in-out warehouse information can be used; in the acquisition of the remaining service life in the dynamic information, the pre-set optimal service life of the coke raw material pile and the in-out warehouse information can be used; and in the acquisition of the cost in the dynamic information, the price of each ton of raw material of the coke raw material pile can be calculated as the cost through the in-out warehouse information. The matching degree of each unit area is pre-set to 10. Assuming that the remaining service life of the coke raw material pile in a unit area is 0, the matching degree of the coke raw material pile and the unit area where the coke raw material pile is located is reduced by 3 to 7. If the inventory quantity of the coke raw material pile in the unit area is 20 t and the storage label of the unit area is 50 t, the matching degree of the coke raw material pile and the unit area where the coke raw material pile is located is further reduced by 2 to 5.

[0078] In the abnormal unit area judgment subunit, the matching degree threshold is a maximum matching value determined by experience.

[0079] In the adjustment subunit, the knapsack constraint condition refers to the multi-dimensional restriction condition of the coke raw material pile when the multi-dimensional knapsack algorithm is used for storage optimization, including the shortest adjustment path, the matching degree, and the storage space of each blank unit area. The knapsack cost refers to the total cost involved in adjusting the coke raw material pile from the abnormal unit area to the blank unit area, which is obtained by superimposing the path adjustment cost, the matching degree cost, and the storage space cost of the blank unit area. The path adjustment cost represents the distance of moving the coke raw material pile from the abnormal unit area to a certain blank unit area, the matching degree cost represents the matching degree of the coke raw material pile and the blank unit area, and the storage space cost of the blank unit area is the remaining space size of the blank unit area. Specifically, when calculating the knapsack cost of a certain blank unit area, the weights of the path adjustment cost, the matching degree, and the storage space are determined by experience, and then the weights and the costs are multiplied and added to obtain the total cost of adjusting the coke raw material pile from the abnormal unit area to the blank unit area.

[0080] In a specific embodiment, the path generation module comprises:

[0081] The production ratio generation unit is configured to acquire storage information of the coke cubic storage warehouse, construct a ratio flow network according to each production plan and the storage information, and generate an optimal production ratio of each production plan based on the ratio flow network.

[0082] The path generation unit is configured to construct a three-dimensional warehouse according to the storage information, acquire three-dimensional coordinates of each coke raw material pile in the three-dimensional warehouse in each optimal production ratio, and generate a path of each coke raw material pile in the three-dimensional warehouse according to the three-dimensional coordinates. The search algorithm and the three-dimensional coordinates of each coke raw material pile generate the optimal material taking path of each production plan.

[0083] Specifically, in the production ratio generation unit, the ratio flow network is a network model for resource scheduling and allocation of each coke raw material pile using the concept of flow, which is composed of an edge set and a vertex set. In the embodiment of the present application, the demand of the production plan is taken as the vertex set of the ratio flow network, and the storage information is taken as the edge set of the ratio flow network.

[0084] In the path generation unit, the three-dimensional warehouse refers to a model that simultaneously describes the position of each layered area and all unit areas of the coke three-dimensional storage warehouse. For example, the three-dimensional coordinates of the unit area Y are (1, 6, 8), where 1 represents the level 1, and 6 and 8 represent the horizontal and vertical positions of the unit area Y in level 1. The search algorithm is a common algorithm for path search, which is used to generate the optimal material taking path of each production plan in the embodiment of the present application.

[0085] In a specific embodiment, the production ratio generation unit comprises:

[0086] The flow network construction sub-unit is configured to obtain the storage information of the coke three-dimensional storage warehouse, take the demand of the target production plan as the vertex set of the ratio flow network, and construct the ratio flow network by taking the storage information as the edge set of the ratio flow network, the target production plan being any production plan in all production plans.

[0087] The constraint condition adding sub-unit is configured to add a constraint condition to each edge in the ratio flow network according to a preset cost.

[0088] The maximum flow calculation sub-unit is configured to select any edge in the ratio flow network as an initial feasible flow, search for a next edge in the ratio flow network whose path flow is greater than the initial feasible flow according to the initial feasible flow, and obtain an edge with the maximum path flow in the ratio flow network as the maximum flow of the ratio flow network until the maximum flow of the ratio flow network is obtained, so as to generate the optimal production ratio of the target production plan by using the maximum flow.

[0089] Specifically, in the flow network construction sub-unit, the demand of the production plan refers to the amount of raw materials required in a specific production process and the production target. For example, the amount of raw materials in the demand of a certain production plan is 100 tons of three kinds of raw materials, 50 tons of coke raw material pile one, 80 tons of coke raw material pile two, and 30 tons of coke raw material pile three; and the production target in the demand of the production plan is 1 million yuan of cost.

[0090] In the constraint condition adding sub-unit, the preset cost refers to the real-time market of each coke raw material pile.

[0091] In the maximum flow calculation subunit, initializing the feasible flow refers to constructing an initial flow distribution scheme conforming to all constraint conditions at the beginning of maximum flow calculation, and subsequently searching for the maximum flow edge in the distribution flow network, and the maximum flow refers to the distribution scheme with the maximum flow in the distribution flow network.

[0092] In one specific embodiment, the automatic scheduling module comprises:

[0093] The scheduling queue construction unit is configured to calculate an initial priority of each production plan according to a deadline of each production plan and a sequence in which the coke cubic storage warehouse receives each production plan, sort the initial priorities of the production plans, and obtain a scheduling queue.

[0094] The dynamic adjustment unit is configured to determine a new production plan inserted into the scheduling queue or a production plan with a plan change in the scheduling queue as a dynamic production plan, calculate an initial priority of the dynamic production plan, and insert the dynamic production plan into a corresponding position in the scheduling queue according to the initial priority of the dynamic production plan.

[0095] The instruction execution unit is configured to generate a dynamic scheduling instruction according to the dynamically adjusted scheduling queue, and control the coke cubic storage warehouse to execute the dynamic scheduling instruction.

[0096] Specifically, in the scheduling queue construction unit, assuming that there are three production plans a, b, and c, the deadlines of which are sorted as tb < tc = ta, and the sequence in which the coke cubic storage warehouse receives each production plan is A, B, and C, the scheduling queue is generated as [b, a, c], and the initial priorities are 3, 2, and 1, respectively.

[0097] In the dynamic adjustment unit, the principle of calculating the initial priority of the dynamic production plan is the same as that of calculating the initial priority of each production plan.

[0098] After inserting the dynamic production plan into the scheduling queue, the initial priorities of all the production plans after the dynamic production plan in the scheduling queue are increased by a preset change value. In the above example, when a production plan e with an initial priority of 4 is inserted into the scheduling queue [b, a, c], the new scheduling queue is [b, e, a, c], b, i.e., the production plan being executed, does not participate in scheduling, and the priorities of the production plans a and c are increased by 1, i.e., to 3 and 2, respectively.

[0099] Based on all the above embodiments, the embodiments of the present application propose a control system for multi-variety coke storage in a steel plant, which has the following beneficial effects:

[0100] Firstly, the classification module classifies the target coke raw material by combining the quality index and the production process index, generates a plurality of coke raw material piles and their classification labels, and uses the two classification methods in combination, so that the requirements of the production process are considered while the coke quality is considered, thereby providing a fine classification basis for the storage of the subsequent coke raw material piles.

[0101] The three-dimensional storage warehouse construction module generates a coke three-dimensional storage warehouse by layering and gridding the stockyard area according to the preset coke index and obtaining the preset storage label for each unit area, establishes a scientific classification and storage system, and can more clearly master the variety, quantity and quality of the inventory in the warehouse according to the storage label of each unit area, thereby providing a storage basis for the coke raw material piles.

[0102] The warehouse management module stores each coke raw material pile in the coke three-dimensional storage warehouse according to its classification label, and adjusts the storage position of each coke raw material pile by obtaining the dynamic information of each coke raw material pile in real time, thereby realizing the automatic arrangement and adjustment of the storage position of the coke raw material pile according to the dynamic information of the coke raw material pile, and greatly improving the flexibility and rationality of the coke storage control.

[0103] For the material taking link of the coke three-dimensional storage warehouse, the path generation module obtains the storage information of the coke three-dimensional storage warehouse, generates the optimal production ratio of each production plan according to each production plan and the storage information, and generates the optimal material taking path of each production plan according to the optimal production ratio of each production plan and the storage information. The automatic scheduling module constructs a scheduling queue according to all the optimal material taking paths, generates a dynamic scheduling instruction by dynamically adjusting the scheduling queue, and controls the coke three-dimensional storage warehouse to execute the dynamic scheduling instruction, thereby optimizing the material taking and scheduling process of the entire coke three-dimensional storage warehouse, making the coke three-dimensional storage warehouse more intelligent, the process more clear, and thereby improving the overall production and operation efficiency and quality stability of the coke three-dimensional storage warehouse.

[0104] The above only describes the preferred embodiments of the present application and is not used to limit the present application. It should be noted that for ordinary skilled persons in the technical field, several improvements and modifications can be made without departing from the technical principles of the present application, and these improvements and modifications should also be considered as the protection scope of the present application.

Claims

1. A control system for multi-variety coke stockpiling at a steel works, characterized by, The method comprises the following steps: a classification module is used to classify the target coke raw material in combination with quality indicators and production process indicators, and generate a plurality of coke raw material piles and their classification labels; the classification priority of the quality indicators is higher than that of the production process indicators, and the classification module comprises: a quality indicator classification unit is used to classify the target coke raw material by quality indicators to obtain a first classification result; a production process indicator classification unit is used to classify the target coke raw material by production process indicators to obtain a second classification result; a comprehensive classification unit is used to obtain the intersection of the first classification result and the second classification result as an intersection classification result, classify the target coke raw material not belonging to the intersection classification result by quality indicators to obtain a third classification result, and generate a plurality of coke raw material piles and their classification labels by comprehensively combining the intersection classification result and the third classification result; a three-dimensional storage warehouse construction module is used to layer and grid the stockyard area according to preset coke indicators, and generate a coke three-dimensional storage warehouse, wherein the coke three-dimensional storage warehouse is composed of a plurality of unit areas and their storage labels; a warehouse management module is used to store each coke raw material pile in the coke three-dimensional storage warehouse according to their respective classification labels, and real-time acquire dynamic information of each coke raw material pile, and adjust the storage position of each coke raw material pile according to the multi-dimensional knapsack algorithm and the dynamic information of each coke raw material pile; a path generation module is used to acquire storage information of the coke three-dimensional storage warehouse, generate an optimal production ratio of each production plan according to each production plan and the storage information, and generate an optimal material taking path of each production plan according to the optimal production ratio of each production plan and the storage information; an automatic scheduling module is used to construct a scheduling queue according to the optimal material taking path of each production plan, generate a dynamic scheduling instruction by dynamically adjusting the scheduling queue, and control the coke three-dimensional storage warehouse to execute the dynamic scheduling instruction.

2. The control system for multi-variety coke stockpiling at a steel mill according to claim 1, characterized by, The three-dimensional storage warehouse construction module comprises: a layering unit is used to divide the stockyard area into a plurality of layering areas according to the coke quality level of the preset coke indicators; a gridding unit is used to take the height of each layering area and the preset coke indicators as multi-dimensional input parameters, take the area and the working height of each layering area as constraint conditions to construct a gridding objective function of each layering area, calculate gridding parameters of each layering area based on the gridding objective function, perform gridding processing on each layering area based on the gridding parameters of each layering area, generate a plurality of unit areas, and acquire preset storage labels for each unit area to obtain the coke three-dimensional storage warehouse.

3. The control system for multi-various coke stockpiling of a steel mill according to claim 1, characterized by, The warehouse management module comprises: a storage unit is used to store each coke raw material pile in the coke three-dimensional storage warehouse according to their respective classification labels; a dynamic adjustment unit is used to real-time acquire dynamic information of each coke raw material pile, determine an abnormal unit area where a coke raw material pile with an abnormal storage position is located according to the dynamic information and the storage label of each unit area, and adjust the coke raw material pile in each abnormal unit area to a corresponding optimal blank unit area by the multi-dimensional knapsack algorithm, wherein the blank unit area represents a unit area without storing a coke raw material pile.

4. The control system for multi-variety coke stockpiling at a steel mill according to claim 3, characterized by, The dynamic adjustment unit comprises: A matching degree calculation subunit is configured to acquire multiple types of dynamic information of each coke raw material pile in real time, and calculate a matching degree of each coke raw material pile with a unit area in which the coke raw material pile is located according to all types of dynamic information of each coke raw material pile and a storage label of the unit area in which the coke raw material pile is located; An abnormal unit area judgment subunit is configured to determine the unit area as an abnormal unit area if the matching degree of any coke raw material pile with the unit area in which the coke raw material pile is located is less than a matching degree threshold value; An adjustment subunit is configured to take the shortest adjustment path, the matching degree, and a storage space of each blank unit area as knapsack constraint conditions, calculate a knapsack cost of each blank unit area to each abnormal unit area, select a blank unit area corresponding to a minimum knapsack cost of each abnormal unit area as an optimal blank unit area corresponding to the abnormal unit area, and adjust the coke raw material pile of each abnormal unit area into the corresponding optimal blank unit area.

5. The control system for multi-varietal coke stockpiling at a steel plant according to claim 1, wherein The path generation module comprises: A production ratio generation unit is configured to acquire storage information of the coke three-dimensional storage warehouse, construct a ratio flow network according to each production plan and the storage information, and generate an optimal production ratio of each production plan based on the ratio flow network; A path generation unit is configured to construct a three-dimensional warehouse according to the storage information, acquire three-dimensional coordinates of each coke raw material pile in the three-dimensional warehouse in each optimal production ratio, and generate an optimal material taking path of each production plan according to an A* search algorithm and the three-dimensional coordinates of each coke raw material pile.

6. The control system for multi-variety coke stockpiling at a steel mill according to claim 5, characterized by, The production ratio generation unit comprises: A flow network construction subunit is configured to acquire storage information of the coke three-dimensional storage warehouse, take a demand of a target production plan as a vertex set of the ratio flow network, and construct the ratio flow network by taking the storage information as an edge set of the ratio flow network, the target production plan being any production plan in all production plans; A constraint condition adding subunit is configured to add a constraint condition for each edge in the ratio flow network according to a preset cost; A maximum flow calculation subunit is configured to select any edge in the ratio flow network as an initial feasible flow, search for a next edge in the ratio flow network whose path flow is greater than the initial feasible flow according to the initial feasible flow, and acquire an edge with a maximum path flow in the ratio flow network as a maximum flow of the ratio flow network until the maximum flow, so as to generate an optimal production ratio of the target production plan.

7. The control system for multi-varietal coke stockpiling at a steel plant according to claim 1, wherein The automatic scheduling module comprises: A scheduling queue construction unit is configured to calculate an initial priority of each production plan according to a deadline of each production plan and an order in which the coke three-dimensional storage warehouse receives each production plan, sort the initial priorities of the production plans, and obtain a scheduling queue; A dynamic adjustment unit is configured to determine a new production plan inserted into the scheduling queue or a production plan in which a plan change occurs in the scheduling queue as a dynamic production plan, calculate an initial priority of the dynamic production plan, and insert the dynamic production plan into a corresponding position in the scheduling queue according to the initial priority of the dynamic production plan; An instruction execution unit is configured to generate a dynamic scheduling instruction according to the dynamically adjusted scheduling queue, and control the coke three-dimensional storage warehouse to execute the dynamic scheduling instruction.

Images