Station-level production optimization scheduling system for steel plant

Abstract

The invention provides a station-level production optimization scheduling system for a steel plant, which comprises a steelmaking MES subsystem, a crown block logistics subsystem, an equipment management subsystem and a process control subsystem in an input layer, and further comprises a real-time communication subsystem, a production rhythm tracking subsystem and a production optimization scheduling subsystem in a middle layer, the system further comprises an intelligent bun preparing subsystem, a vehicle dispatching subsystem and a working procedure process control subsystem of the output layer. Wherein the production optimization scheduling subsystem receives a production plan or adjustment of the MES subsystem, and obtains a process package arrival / departure signal of the crown block logistics subsystem, a process smelting process of the process control subsystem, an equipment maintenance plan of the equipment management subsystem and trigger scheduling dynamic adjustment at the same time. According to the system, production plan scheduling is taken as a research object, ordered production of a production plan is realized through static scheduling and dynamic adjustment, and meanwhile, consistent scheduling of the production plan scheduling, vehicle scheduling and molten steel tank package allocation is established.

Description

Technical Field

[0001] The invention relates to the technical field of steelmaking production scheduling, and in particular to a station-level production optimization scheduling system for a steelmaking plant. Background Art

[0002] The research object is the production optimization scheduling and dynamic dispatching business of steel plants, focusing on the execution tracking, adjustment and dispatching of each process of continuous casting pouring plan to maximize production efficiency.

[0003] The continuous casting pouring plan is a group of furnace plans after the furnace group pouring, which is generally the same or similar steel grades, to ensure the maximum continuous casting capacity. The furnace plan mainly includes the plan number, the sequence number within the pouring, the steel grade, the process path, and the start and end time of each process operation.

[0004] At present, the continuous casting pouring plan is generally formed by the manufacturing execution system (MES) according to the sales order into the production order group furnace group pouring. The continuous casting pouring plan generally specifies the continuous casting machine (end station) but not the converter (starting point). Instead, the converter station of each furnace in the pouring plan is determined manually furnace by furnace. During the production process, the smelting status of each station in the steelmaking plant is tracked in real time, and the molten steel flow and rhythm matching between the stations are manually coordinated through intercom or telephone to ensure the stability of the production rhythm of the whole process. Some factories are equipped with special scheduling positions, which are specialized in furnace plan execution tracking and coordination between stations. Not only is the work intensity high, but also under the complex production organization, the scheduling method is often not optimal, resulting in tight process connection or time loss, frequent production fluctuations, and is not conducive to maintaining product quality. In some cases, continuous casting is interrupted or less flow.

[0005] In order to meet the needs of dynamic tracking, scientific scheduling, and real-time dispatching, it is necessary to solve the problem of accurate scheduling of all workstations for multiple pourings. Therefore, the design of a station-level production optimization scheduling framework for steel plants involves real-time monitoring of the production status of the workstation, dynamic adjustment of the production plan, and coordinated optimization of the workstation rhythm. Summary of the invention

[0006] The purpose of the present invention is to provide a station-level production optimization scheduling system for steel mills to solve the problem that the initial pouring schedule of the existing MES system only specifies the casting machine, does not schedule the converter station and the refining station, and the production start / end time of the converter station and the refining station is not accurately calculated, and the production scheduling is purely manual according to the smelting status of each station. The specific technical solution is as follows:

[0007] A station-level production optimization scheduling system for a steel mill comprises a steelmaking MES subsystem, a crane logistics subsystem, an equipment management subsystem and a process control subsystem at an input layer, a real-time communication subsystem, a production rhythm tracking subsystem and a production optimization scheduling subsystem at an intermediate layer, and an intelligent package distribution subsystem, a vehicle dispatching subsystem and a process control subsystem at an output layer;

[0008] The output ends of each subsystem of the input layer are connected to the real-time communication subsystem, the output ends of the real-time communication subsystem are connected to each subsystem of the output layer, the real-time communication subsystem in the middle layer is connected to the production rhythm tracking subsystem, and the production rhythm tracking subsystem is connected to the production optimization scheduling subsystem;

[0009] The production optimization scheduling subsystem can dynamically adjust the production plan schedule of each workstation according to the real-time status of each workstation and the actual workstation transfer time during the production process.

[0010] Furthermore, the steelmaking MES subsystem is used to automatically generate the initial production plan schedule for the continuous casting pouring plan and issue production instructions;

[0011] The overhead crane logistics subsystem is used to realize the transfer of ladles between processes and automatically collect relevant material data in the steelmaking and continuous casting area;

[0012] The equipment management subsystem is mainly used to manage and maintain various production equipment in the steel plant;

[0013] The process control subsystem is used to clarify the operating specifications and technical requirements of each process, and to monitor and record key parameters in the production process in real time.

[0014] Further, the production optimization scheduling subsystem includes an external communication module, a rhythm tracking module, a production scheduling module, a basic algorithm module, a scheduling algorithm module and a rule engine module;

[0015] The external communication module is used to receive the production plan of the MES subsystem, the relevant material data collected by the overhead traveling vehicle logistics subsystem, the production equipment maintenance plan of the equipment management subsystem, and the process smelting process data of the process control subsystem;

[0016] The rhythm tracking module is used to track the execution of each production plan of the steel plant and the real-time production data and production status of each workstation;

[0017] The production scheduling module is used to trigger the scheduling algorithm module;

[0018] The scheduling algorithm module is used to call the scheduling algorithm of the basic algorithm module, and at the same time combine the rule engine fusion calculation of the rule engine module to obtain the adjusted workstation smelting plan for each pouring, and generate production scheduling instructions.

[0019] Furthermore, the production optimization scheduling subsystem is applicable to steel mills with different process layouts and steel mills with different production organization modes.

[0020] Furthermore, the production optimization scheduling subsystem is connected to the human-computer interaction interface through a human-computer interface, and the human-computer interaction interface is used for production plan management, dynamic scheduling monitoring, processing time configuration, transportation time configuration, manufacturing standard management and scheduling rule management.

[0021] Furthermore, the intelligent package matching subsystem is used to receive the package matching work tasks corresponding to the production scheduling instructions, and recommend casting machine turnover packages and furnace matching optimization solutions for different casting production plans.

[0022] Furthermore, the vehicle dispatching subsystem is used to receive the overhead crane dispatching task corresponding to the production scheduling instruction, and the production scheduling instruction is linked with the overhead crane dispatching task, which is used not only for the heavy tank lifting dispatching, but also for the empty tank lifting dispatching.

[0023] The present invention provides a steelmaking plant workstation-level production optimization scheduling system, which has the following beneficial effects:

[0024] 1. The present invention provides a station-level production optimization scheduling system for a steel plant, which is suitable for situations where the equipment layout is complex and the smelting state is non-steady-state. It can solve the problems of multi-factor correlation influence such as static factors and dynamic factors and multi-object correlation influence in the joint scheduling of steelmaking processes.

[0025] 2. The present invention provides a steel plant workstation-level production optimization scheduling system, which can not only accurately calculate the production material number and production start / end time of the workstation and guide the smelting production operation of the workstation, but also guide the overhead crane vehicle scheduling and ladle scheduling to form an integrated scheduling plan, which can organize the production in an orderly manner and meet the resource planning of relevant factors of actual production. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a schematic diagram of the framework of a station-level production optimization scheduling system for a steel plant provided by the present invention;

[0027] Figure 2 It is a partial schematic diagram of a station-level production optimization scheduling system for a steelmaking plant provided by the present invention;

[0028] Figure 3It is an interactive logic diagram of a station-level production optimization scheduling system for a steel plant provided by the present invention. DETAILED DESCRIPTION

[0029] The following will be combined with the accompanying drawings provided by the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. According to the following description, the advantages and features of the present invention will be more clear. It should be noted that the accompanying drawings are all in a very simplified form and are not in precise proportions, which are only used to conveniently and clearly assist in explaining the purpose of the embodiments of the present invention.

[0030] In the description of the present invention, unless otherwise clearly stipulated and limited, the terms "connection" and "connected" should be interpreted in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0031] In the description of the present invention, terms such as "up", "down", "left", "right", "front", "back", "center", "horizontal", "vertical", "top", "bottom", "inside" and "outside" and other orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings and are only for the convenience of description and simplification of operation, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0032] Example:

[0033] This embodiment provides a steel plant station-level production optimization scheduling system, see Figure 1 As shown, the system includes an input layer, an intermediate layer and an output layer, wherein the input layer includes the steelmaking MES subsystem, the overhead crane logistics subsystem, the equipment management subsystem and the process control subsystem, the intermediate layer includes the real-time communication subsystem, the production rhythm tracking subsystem and the production optimization scheduling subsystem, and the output layer includes the intelligent package distribution subsystem, the vehicle scheduling subsystem and the process control subsystem. Among them, the output end of each subsystem of the input layer is connected to the real-time communication subsystem of the intermediate layer, the real-time communication subsystem in the intermediate layer is connected to the production rhythm tracking subsystem, the production rhythm tracking subsystem is connected to the production optimization scheduling subsystem, and the output end of the real-time communication subsystem is also connected to each subsystem of the output layer.

[0034] The present embodiment provides a station-level production optimization scheduling system for a steel plant. After sorting out various scenarios of production scheduling, overhead crane scheduling, and molten steel tank allocation in the steel plant, a consistent scheduling system for production plan scheduling, vehicle scheduling, and molten steel tank allocation is established. The production plan scheduling is taken as the research object. Through static scheduling and dynamic adjustment, the orderly production of the production plan is achieved, the stability of production execution is improved, the quality of molten steel is guaranteed, the intensity of manual scheduling is reduced, and the scientific nature and predictability of the production plan scheduling are emphasized to ensure smooth production.

[0035] The following is a detailed description of the above steel mill station-level production optimization scheduling system. Figure 3 The figure shows the logic diagram of the internal and external interactions of the system.

[0036] Specifically, the steelmaking MES subsystem of the input layer is used to generate the initial continuous casting pouring plan and issue production instructions. The MES subsystem receives production orders and related standard systems, and formulates continuous casting pouring plans and furnace plans based on the production capacity of on-site equipment. According to the continuous casting pouring plan of the MES subsystem, between pouring production, the start time of the first furnace's converter station, the process path, standard process processing time and transfer time are used to forward the pouring start time of the first furnace. For subsequent furnaces, the start / end time of each furnace station is reversed according to the target pulling speed of the steel manufacturing standard to generate a static schedule for the continuous casting pouring production plan.

[0037] The overhead crane logistics subsystem is used to realize the transfer of ladles between processes. At the same time, it automatically collects data such as the amount of molten iron charged into the converter in the steelmaking and continuous casting area, the amount of scrap steel charged into the converter, the amount of steel discharged from the converter, the amount of continuous casting, the remaining amount of large ladles, and the signals of the ladle arrival / departure in the process. The above data is transmitted to the middle layer through the real-time communication subsystem for production optimization scheduling and historical query.

[0038] The equipment management subsystem is mainly used to manage and maintain various production equipment in steel mills. Through the equipment management subsystem, managers can understand the equipment's operating status, maintenance records, fault history and other information in real time. The system can also reasonably arrange equipment inspection and maintenance according to the equipment's usage and maintenance plan, reduce equipment failure rate, and improve equipment utilization.

[0039] The process control subsystem is used to clarify the operating specifications and technical requirements of each process, and to monitor and record the key parameters in the production process in real time, and to control production. Through the refined management of the process flow, the stability and controllability of the production process can be ensured. The process smelting progress can be obtained through the process control subsystem.

[0040] Specifically, the real-time communication subsystem is used for data transmission and communication between the middle layer and the input layer, and also for data transmission and communication between the middle layer and the output layer. The real-time communication subsystem receives the initial continuous casting pouring schedule and production instructions from the steelmaking MES subsystem, and obtains in real time the relevant logistics data of the steelmaking continuous casting area collected by the overhead crane logistics subsystem, the production equipment maintenance plan of the equipment management subsystem, and the process smelting process data of the process control subsystem, and performs necessary logical checks on the data to provide basic data for the production optimization scheduling subsystem. At the same time, the production scheduling instructions, package distribution tasks, and overhead crane scheduling tasks generated by the production optimization scheduling subsystem are transmitted to the subsystems of the output layer through the real-time communication subsystem.

[0041] The production rhythm tracking subsystem is used to track the execution of each production plan of the steel plant and the real-time production data and production status of each workstation. During the production process, it obtains the process package arrival / departure signals and process smelting progress, and at the same time obtains real-time data of the production process. According to the real-time production data and production status of each workstation, the rhythm of each production plan of the steel plant is tracked.

[0042] The production optimization scheduling subsystem is used to realize the dynamic adjustment of the production plan. According to the tracking status of the workstation smelting, the scheduling of the furnaces that have been produced but not poured is adjusted in real time and dynamically, the scheduling of future furnaces or future pouring furnaces is pre-calculated, and dynamic scheduling instructions are generated to guide the adjustment of the workstation smelting operations. In the scheduling process, the order of continuous casting is taken as the basis, and the plans of the casting machines that have started pouring or started pouring first are prioritized. Then, according to whether there is a conflict between the furnace of the casting machine that starts pouring later and the previous furnace (different pouring) in time and space, and according to certain adjustment rules, the scheduling range includes the pouring in production and one pouring that is not in production. If multiple casting machines are in production, the pouring of these casting machines will be scheduled, and another pouring will be scheduled in the positive order of the pouring time. It is not only suitable for the actual scheduling needs of production scheduling, but also will not schedule all the pourings to be produced at once, and pursues the optimal solution of scheduling multiple pourings at the same time. The above-mentioned production optimization scheduling can be applied to steel mills with different process layouts (referring to different numbers of workstations), and can be applied to different production organization methods (one furnace and one machine, one furnace and two machines, two furnaces and two machines, two furnaces and three machines, three furnaces and three machines, etc.).

[0043] See also Figure 2As shown, the production optimization scheduling subsystem includes an external communication module, a rhythm tracking module, a production scheduling module, a basic algorithm module, a scheduling algorithm module and a rule engine module. The external communication module is used to receive the production plan or adjustment of the MES subsystem, obtain the process package arrival / departure signal data of the overhead crane logistics subsystem, obtain the process smelting process data of the process control subsystem, and obtain the real-time production data and production status of each workstation of the real-time data acquisition subsystem. The rhythm tracking module is used to track the rhythm of each production plan of the steelmaking plant. The production scheduling module triggers the scheduling algorithm module. The scheduling algorithm of the scheduling algorithm module calls the scheduling algorithm of the basic algorithm module, such as: depth-first search algorithm, etc. At the same time, combined with the rule engine of the rule engine module, the station smelting plan of each pouring and each furnace is integrated and calculated to generate production scheduling instructions.

[0044] The production optimization scheduling subsystem also includes a time series database, an in-memory database, and a relational database to store various types of data in the production process.

[0045] The production optimization scheduling subsystem is also connected to the human-machine interaction interface through the human-machine interface. The human-machine interaction interface is used for production plan management, dynamic scheduling monitoring, processing time configuration, transportation time configuration, manufacturing standard management and scheduling rule management.

[0046] Optionally, the scheduling rules include standard configuration of steel grades, such as: process path, whether wire feeding is required, minimum number of continuous casting furnaces, etc.; standard smelting time, such as: smelting preparation time, standard processing time, minimum processing time, transfer time within the process, etc.; standard transfer time, such as: transfer time between processes; work station parameter configuration, such as: different types of work station configuration, equipment configuration, and types of products that can be smelted.

[0047] Specifically, the process control subsystem of the output layer is used to receive the process operation instructions corresponding to the production scheduling results, and ensure the normal completion of each process as required. The real-time production status of the process control subsystem is used for production optimization scheduling calculation, and the results of production optimization scheduling are used to guide the control of the process control subsystem.

[0048] The intelligent ladle allocation subsystem is used to configure the turnover ladles within a casting and the ladles for each furnace within a casting. Combined with the actual production layout and the technical standards used, it completes the intelligent scheduling of the turnover process of the ladle from the end of casting → slag turning → heat repair → steel connection after the furnace → smelting at the workstation → casting by the casting machine, so as to minimize the time for the ladle to go offline, improve the turnover rate of the ladle, and ensure the availability, accuracy and economy of the ladle. It not only ensures smooth production, but also ensures the quality of molten steel. The intelligent ladle allocation subsystem receives the production scheduling instructions to generate the corresponding ladle allocation operation tasks, recommends the ladle allocation optimization plan for different casting production plans, and coordinates the production scheduling and vehicle scheduling in the turnover process.

[0049] The vehicle dispatch subsystem is used to determine the target crane from the candidate cranes for each crane dispatch task, determine the target crane from the candidate cranes according to the current position and idle state of each candidate crane, the operating state of each workstation and the target path, and control the target crane to move to the corresponding workstation along the corresponding target path to perform the task, thereby improving the intelligent level of steelmaking production dispatching and command, improving logistics smoothness, and improving production efficiency and output. The vehicle dispatch subsystem receives production scheduling instructions and package distribution optimization plans to generate corresponding crane dispatch tasks. The production scheduling instructions, package distribution optimization plans and vehicle dispatch tasks are linked, which are used not only for heavy tank dispatching, but also for empty tank dispatching.

[0050] In the above detailed description, various features are grouped together in a single embodiment to simplify the disclosure. This method of disclosure should not be interpreted as reflecting an intention that the embodiments of the claimed subject matter require more features than are clearly stated in each claim. On the contrary, as reflected in the appended claims, the invention is in a state of having less than all the features of the disclosed individual embodiments. Therefore, the appended claims are hereby expressly incorporated into the detailed description, with each claim standing on its own as a separate preferred embodiment of the invention.

[0051] Those skilled in the art will also appreciate that the various illustrative logic boxes, modules and algorithms described in conjunction with the embodiments herein can all be implemented as electronic hardware, computer software or a combination thereof. In order to clearly illustrate the interchangeability between hardware and software, various illustrative components, boxes and modules are generally described above around their functions. Whether such functions are implemented as hardware or software depends on the specific application and the design constraints imposed on the entire system. A skilled person can implement the described functions in an alternative manner for each specific application, but such implementation decisions should not be interpreted as departing from the scope of protection of the present disclosure.

[0052] The system or algorithm described in conjunction with the embodiments herein can be directly embodied as hardware, a software module executed by a processor, or a combination thereof. The software module can be located in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a mobile disk, a CD-ROM, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor so that the processor can read information from the storage medium and can write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be located in an ASIC. The ASIC can be located in a user terminal. Of course, the processor and the storage medium can also be present in a user terminal as discrete components.

[0053] For software implementation, the techniques described in this application can be implemented with modules (e.g., procedures, functions, etc.) that perform the functions described in this application. These software codes can be stored in a memory unit and executed by a processor. The memory unit can be implemented within the processor or outside the processor. In the latter case, it is coupled to the processor in a communication manner via various means, which are well known in the art.

[0054] The above description includes examples of one or more embodiments. Of course, it is impossible to describe all possible combinations of components or methods for the purpose of describing the above embodiments, but it should be recognized by those skilled in the art that the various embodiments may be further combined and arranged. Therefore, the embodiments described herein are intended to cover all such changes, modifications and variations that fall within the scope of protection of the appended claims. In addition, with respect to the term "comprising" used in the specification or claims, the word is covered in a manner similar to the term "including", just as "including," is explained as a transitional word in the claims. In addition, any term "or" used in the specification of the claims is intended to mean "non-other or".

Claims

1. A station-level production optimization scheduling system for a steel plant, characterized in that: It includes the steelmaking MES subsystem, overhead crane logistics subsystem, equipment management subsystem and process control subsystem at the input layer, the real-time communication subsystem, production rhythm tracking subsystem and production optimization scheduling subsystem at the middle layer, and the intelligent package distribution subsystem, vehicle dispatching subsystem and process control subsystem at the output layer; The output ends of each subsystem of the input layer are connected to the real-time communication subsystem, the output ends of the real-time communication subsystem are connected to each subsystem of the output layer, the real-time communication subsystem in the middle layer is connected to the production rhythm tracking subsystem, and the production rhythm tracking subsystem is connected to the production optimization scheduling subsystem; The production optimization scheduling subsystem can dynamically adjust the production plan schedule of each workstation according to the real-time status of each workstation and the actual workstation transfer time during the production process.

2. The steelmaking plant workstation-level production optimization scheduling system according to claim 1, characterized in that: The steelmaking MES subsystem is used to automatically generate the initial production plan schedule for the continuous casting pouring plan and issue production instructions; The overhead crane logistics subsystem is used to realize the transfer of ladles between processes and automatically collect relevant material data in the steelmaking and continuous casting area; The equipment management subsystem is mainly used to manage and maintain various production equipment in the steel plant; The process control subsystem is used to clarify the operating specifications and technical requirements of each process, and at the same time to monitor and record the key parameters in the production process in real time and control production.

3. The steelmaking plant station-level production optimization scheduling system according to claim 3 is characterized in that: The production optimization scheduling subsystem includes an external communication module, a rhythm tracking module, a production scheduling module, a basic algorithm module, a scheduling algorithm module and a rule engine module; The external communication module is used to receive the production plan of the MES subsystem, the relevant material data collected by the overhead traveling vehicle logistics subsystem, the production equipment maintenance plan of the equipment management subsystem, and the process smelting process data of the process control subsystem; The rhythm tracking module is used to track the execution of each production plan of the steel plant and the real-time production data and production status of each workstation; The production scheduling module is used to trigger the scheduling algorithm module; The scheduling algorithm module is used to call the scheduling algorithm of the basic algorithm module, and at the same time combine the rule engine fusion calculation of the rule engine module to obtain the adjusted workstation smelting plan for each pouring, and generate production scheduling instructions.

4. The station-level production optimization scheduling system for a steelmaking plant according to claim 3 is characterized in that: The production optimization scheduling subsystem is applicable to steel mills with different process layouts and different production organization modes.

5. The station-level production optimization scheduling system for a steelmaking plant according to claim 1, characterized in that: The production optimization scheduling subsystem is connected to the human-machine interaction interface through a human-machine interface, and the human-machine interaction interface is used for production plan management, dynamic scheduling monitoring, processing time configuration, transportation time configuration, manufacturing standard management and scheduling rule management.

6. The station-level production optimization scheduling system for a steelmaking plant according to claim 3, characterized in that: The intelligent package matching subsystem is used to receive the corresponding package matching work tasks generated after the production scheduling instructions, and recommend casting machine turnover packages and furnace matching optimization solutions for different production plans.

7. The station-level production optimization scheduling system for a steelmaking plant according to claim 3, characterized in that: The vehicle dispatching subsystem is used to receive the overhead crane dispatching task corresponding to the production scheduling instruction. The production scheduling instruction is linked with the overhead crane dispatching task, and is used not only for the heavy tank lifting dispatching, but also for the empty tank lifting dispatching.

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