Steel ladle matching method based on dynamic process rhythm control and intelligent steel ladle management

Abstract

The invention discloses a steel ladle matching method based on dynamic process rhythm control and intelligent steel ladle management, which comprises the following steps: acquiring real-time production information, a continuous casting production plan and a time-consuming static table of each process, calculating to obtain the starting and ending time of each process, automatically acquiring the continuous casting pulling speed, dynamically adjusting the operation rhythm of each process, and controlling the continuous casting pulling speed according to the operation rhythm of each process. Generating a process operation timetable; the state of the steel ladle is monitored in real time through steel ladle maintenance management, use management and baking management, so that the real-time state of the steel ladle is obtained; according to the working procedure operation timetable and the real-time state of the steel ladle, a proper steel ladle is allocated to each furnace of molten steel, and a steel ladle allocation table is generated; by collecting and analyzing data in the management process, a statistical report is generated, and steel ladle information overview is achieved; and displaying a process operation timetable, a steel ladle matching table and a statistical report form through a graphical interface so as to be checked by an operator and provide decision support. Intelligent ladle matching is achieved through dynamic process rhythm control and intelligent ladle management.

Description

Technical Field

[0001] The present invention belongs to the technical field of metallurgical machinery informatization, and particularly relates to a ladle allocation method based on dynamic process rhythm control and intelligent ladle management. Background Art

[0002] In order to improve the efficiency and quality of ladle baking, reduce energy consumption and production costs, it is necessary to dynamically calculate the production rhythm of the process, implement intelligent ladle management, and allocate a suitable ladle for each heat of molten steel according to the heat production plan and the real-time status of the ladles. At the same time, by collecting and analyzing the data during the baking process, statistical reports are generated to provide decision-making support for management personnel and optimize the production plan and resource allocation. Summary of the Invention

[0003] The purpose of the present invention is to provide a ladle allocation method based on dynamic process rhythm control and intelligent ladle management. According to the heat production plan and the real-time production situation, the production rhythm of the process is dynamically calculated, and the real-time status of each ladle is obtained through the intelligent ladle management platform, so as to quickly allocate a suitable ladle for each heat of molten steel.

[0004] The following is the first aspect of the present invention, which provides a ladle allocation method based on dynamic process rhythm control and intelligent ladle management. The method includes:

[0005] Obtain real-time production information, continuous casting production plan, and static table of the time consumption of each process, calculate the start and end times of each process by deduction, automatically collect the continuous casting drawing speed, dynamically adjust the operation rhythm of each process, and generate a process operation schedule;

[0006] Realize real-time monitoring of the ladle status through ladle repair management, ladle use management, and ladle baking management to obtain the real-time status of the ladles; among them, ladle repair management includes ladle cold repair management and ladle hot repair management, ladle use management includes the daily use situation of the ladles, the use situation of ladle components, and early warning of ladle component use, and ladle baking management includes baking records and baking suggestions;

[0007] According to the process operation schedule and the real-time status of the ladles, allocate a suitable ladle for each heat of molten steel and generate a ladle allocation table;

[0008] By collecting and analyzing the data in the management process, generate statistical reports to realize an overview of ladle information; among them, the statistical reports include ladle repair records corresponding to ladle repair management, ladle turnover tables corresponding to ladle use management, and ladle baking tables corresponding to ladle baking management;

[0009] Display the process operation schedule, ladle allocation table, and statistical reports through a graphical interface for operators to view and provide decision-making support.

[0010] In some of these embodiments, real-time production information, continuous casting production plans, and static tables of the time consumption of each process are obtained, and the start and end times of each process are calculated, including:

[0011] Obtain the starting pouring time of the current casting number, the continuous casting production plan, and the static table of the time consumption of each process; wherein, the continuous casting production plan includes the casting sequence number, melting number, steel grade, width, thickness, and weight under the casting number, and the static table of the time consumption of each process includes the time consumption of each process;

[0012] Based on the current time and the remaining casting time, calculate the end time of the current casting sequence number under this casting number; wherein, the remaining casting time is calculated based on the remaining casting weight, drawing speed, width, thickness, and density;

[0013] Based on the end time of the current casting sequence number under this casting number and the time constant, obtain the start time of the next casting sequence number under this casting number;

[0014] Based on the start time of the next casting sequence number under this casting number and the casting time, calculate the end time of the next casting sequence number under this casting number; wherein, the casting time is calculated based on the casting weight, drawing speed, width, thickness, and density;

[0015] And so on, obtain the start time and end time of all casting sequence numbers under this casting number;

[0016] Based on the static table of the time consumption of each process, reverse-calculate the start and end times of each process.

[0017] In some of these embodiments, the ladle maintenance management records ladle maintenance data; the ladle usage management predicts the maintenance requirements of the ladle by tracking the usage history and maintenance records of the ladle; the ladle baking management ensures that the baking effect meets the production requirements;

[0018] Through the integration of the basic information, status data, and transfer path information of the ladle, realize the real-time monitoring of the ladle status, and the status of the ladle includes in use, casting end, hot repair, cold repair, curing, drying, standby, heating, and waiting to be put into use.

[0019] In some of these embodiments, according to the process operation schedule and the real-time status of the ladle, allocate a suitable ladle for each heat of molten steel, including:

[0020] Obtain the continuous casting production plan and the process operation schedule, and the continuous casting production plan includes the casting sequence number, melting number, and steel grade under the casting number;

[0021] Generate a real-time status table of the ladle according to the status experienced by each ladle since the last use;

[0022] For each continuous casting production plan, match it with the available ladles:

[0023] Read the real-time status table of ladles to obtain the ladles with statuses of to-be-charged, heating, casting completed, and hot repair;

[0024] If the ladle is in the to-be-charged state, determine whether the difference between the starting time of the converter and the ending time of the last heating is less than or equal to the first time. If so and the steel grades match, the ladle is available; if so and the steel grades do not match, make a mark to indicate that the ladle is unavailable; if the difference is greater than the first time, the ladle is unavailable;

[0025] If the ladle is in the heating state, estimate the ending time of heating, and determine whether the difference between the starting time of the converter and the ending time of the last heating is less than or equal to the first time. If so and the steel grades match, the ladle is available; if so and the steel grades do not match, make a mark to indicate that the ladle is unavailable; if the difference is greater than the first time, the ladle is unavailable;

[0026] If the ladle is in the casting-completed state, determine whether the difference between the starting time of the converter and the casting-completed time is less than or equal to the second time. If so and the steel grades match, the ladle is available; if so and the steel grades do not match, make a mark to indicate that the ladle is unavailable; if the difference is greater than the second time, the ladle is unavailable;

[0027] If the ladle is in the hot-repair state, determine whether the starting time of the converter is after the hot-repair ending time. If so and the steel grades match, the ladle is available; if so and the steel grades do not match, make a mark to indicate that the ladle is unavailable; if the starting time of the converter is not after the hot-repair ending time, the ladle is unavailable.

[0028] In some embodiments, the first time is 20 minutes and the second time is 8 hours.

[0029] In some embodiments, the ladle turnover table displays the ladle information of the current shift and generates an alarm for the number of times of using ladle components.

[0030] In some embodiments, the statistical report realizes an overview of ladle information, displays the information of all used ladles, including the last steel grade, ladle number, ladle level, final casting time, current status, and heating prompt.

[0031] According to the second aspect of the present invention, the present invention provides a ladle allocation system for implementing the ladle allocation method based on dynamic process rhythm control and ladle intelligent management described in any one of the first aspects. The system includes a dynamic calculation of process production rhythm module, a ladle intelligent management platform module, an intelligent ladle allocation module, a data analysis and statistics module, and a graphical interface module; wherein:

[0032] The dynamic calculation process production rhythm module is used to obtain real-time production information, continuous casting production plans, and static tables of the time-consuming of each process, calculate the start and end times of each process, automatically collect the continuous casting pulling speed, dynamically adjust the operation rhythm of each process, and generate a process operation schedule;

[0033] The ladle intelligent management platform module is used to achieve real-time monitoring of the ladle status through ladle maintenance management, ladle usage management, and ladle baking management to obtain the real-time status of the ladle; among them, ladle maintenance management includes ladle cold repair management and ladle hot repair management, ladle usage management includes the daily usage of the ladle, the usage of ladle components, and early warnings for the usage of ladle components, and ladle baking management includes baking records and baking suggestions;

[0034] The intelligent ladle allocation module is used to allocate a suitable ladle for each heat of molten steel according to the process operation schedule and the real-time status of the ladle, and generate a ladle allocation table;

[0035] The data analysis and statistics module is used to generate statistical reports by collecting and analyzing data in the management process to achieve an overview of ladle information; among them, the statistical reports include ladle repair records corresponding to ladle maintenance management, ladle turnover tables corresponding to ladle usage management, and ladle baking tables corresponding to ladle baking management;

[0036] The graphical interface module is used to display the process operation schedule, ladle allocation table, and statistical reports through a graphical interface for operators to view and provide decision-making support.

[0037] According to the third aspect of the present invention, a computer device is provided, including: a processor and a memory, the memory stores a program or instruction that can run on the processor, and when the program or instruction is executed by the processor, the steps of the ladle allocation method based on dynamic process rhythm control and ladle intelligent management described in any one of the first aspects are implemented.

[0038] According to the fourth aspect of the present invention, a readable storage medium is provided, on which a program or instruction is stored, and when the program or instruction is executed by the processor, the steps of the ladle allocation method based on dynamic process rhythm control and ladle intelligent management described in any one of the first aspects are implemented.

[0039] Generally speaking, compared with the prior art through the above technical solutions conceived by the present invention, the following beneficial effects can be achieved:

[0040] (1) Through dynamic calculation of the process production rhythm and intelligent management of the ladle, intelligent ladle allocation is realized;

[0041] (2) Through data analysis and statistics, statistical reports are generated for operators to view and provide decision-making support. Description of the Drawings

[0042] Figure 1 Block diagram of a ladle bag matching system based on dynamic process rhythm control and intelligent ladle management provided by an embodiment of the present application;

[0043] Figure 2 Schematic diagram of a method for calculating process rhythm provided by an embodiment of the present application;

[0044] Figure 3 Schematic diagram of the result of calculating the process rhythm provided by an embodiment of the present application;

[0045] Figure 4 Schematic diagram of an intelligent ladle management platform provided by an embodiment of the present application;

[0046] Figure 5 Schematic diagram of an intelligent bag matching process provided by an embodiment of the present application;

[0047] Figure 6 Schematic diagram of the result of intelligent bag matching provided by an embodiment of the present application;

[0048] Figure 7 Schematic diagram of the ladle turnover provided by an embodiment of the present application;

[0049] Figure 8 Schematic diagram of the overall overview of ladle information provided by an embodiment of the present application;

[0050] Figure 9 Schematic diagram of the hardware structure of a computer device provided by an embodiment of the present application. Detailed implementation manners

[0051] In order to make the objectives, technical solutions and advantages of the present invention clearer and more understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. Based on the embodiments provided in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the scope of protection of the present invention.

[0052] Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application. For those of ordinary skill in the art, without making creative efforts, the present application can also be applied to other similar scenarios based on these drawings. In addition, it can also be understood that although the efforts made in this development process may be complex and time-consuming, for those of ordinary skill in the art related to the content disclosed in the present application, some design, manufacturing or production changes made based on the technical content disclosed in the present application are only conventional technical means and should not be understood that the content disclosed in the present application is insufficient.

[0053] As used herein, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the present application. The phrase may appear in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. It is explicitly and implicitly understood by those of ordinary skill in the art that the embodiments described in the present application may be combined with other embodiments without conflict.

[0054] Unless otherwise defined, technical terms or scientific terms involved in the present application shall have the ordinary meanings understood by those of ordinary skill in the technical field to which the present application belongs. The words such as "a", "an", "one kind", "the" and the like involved in the present application do not indicate a limitation in quantity and may represent a singular or plural number. The terms "include", "comprise", "have" and any variations thereof involved in the present application are intended to cover non-exclusive inclusion; for example, a process, method, system, product or device including a series of steps or modules (units) is not limited to the listed steps or units, but may further include unlisted steps or units, or may further include other steps or units inherent to these processes, methods, products or devices. The terms "connect", "be connected", "couple" and the like involved in the present application are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "a plurality of" involved in the present application means two or more. "And / or" describes the association relationship of associated objects and indicates that three relationships may exist. For example, "A and / or B" may represent: A exists alone, A and B exist simultaneously, and B exists alone. The character " / " generally represents an "or" relationship between the associated objects before and after. The terms "first", "second", "third", etc. involved in the present application are only used to distinguish similar objects and do not represent a specific order for the objects.

[0055] The present application provides a ladle allocation method and system based on dynamic process rhythm control and intelligent ladle management, aiming to dynamically calculate the process production rhythm according to the continuous casting production plan and real-time production situation, obtain the real-time status of each ladle through the intelligent ladle management platform, and quickly allocate a suitable ladle for each heat of molten steel. At the same time, the intelligent ladle management platform collects and analyzes data during the baking process to generate prompt information to reduce energy consumption. The system operates stably, is safe and reliable, and improves the production efficiency of CSP steelmaking.

[0056] A ladle allocation method based on dynamic process rhythm control and intelligent ladle management provided by an embodiment of the present application includes the following steps:

[0057] Obtain real-time production information, continuous casting production plans, and static tables of the time-consuming of each process, calculate the start and end times of each process, automatically collect the continuous casting drawing speed, dynamically adjust the operation rhythm of each process, and generate a process operation schedule;

[0058] Realize real-time monitoring of the ladle status through ladle maintenance management, ladle usage management, and ladle baking management to obtain the real-time status of the ladle; among them, ladle maintenance management includes ladle cold repair management and ladle hot repair management, ladle usage management includes the daily usage of the ladle, the usage of ladle components, and early warnings for ladle component usage, and ladle baking management includes baking records and baking suggestions;

[0059] According to the process operation schedule and the real-time status of the ladle, allocate a suitable ladle for each heat of molten steel and generate a ladle allocation table;

[0060] Generate statistical reports by collecting and analyzing data in the management process to achieve an overview of ladle information; among them, the statistical reports include ladle repair records corresponding to ladle maintenance management, ladle turnover tables corresponding to ladle usage management, and ladle baking tables corresponding to ladle baking management;

[0061] Display the process operation schedule, ladle allocation table, and statistical reports through a graphical interface for operators to view and provide decision support.

[0062] This application realizes intelligent ladle allocation through dynamically calculating the process production rhythm and intelligent ladle management, generates statistical reports through data analysis and statistics, and provides them for operators to view to provide decision support.

[0063] It should be noted that the steps shown in the above process or the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order from here.

[0064] The embodiment of this application also provides a ladle allocation system based on dynamic process rhythm control and intelligent ladle management. These systems are used to implement the above embodiments and preferred implementation manners, and those that have been described will not be repeated. As used below, terms such as "module", "unit", "sub-unit", etc. can be a combination of software and / or hardware that can achieve a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0065] Figure 1 is the structural block diagram of the ladle allocation system based on dynamic process rhythm control and intelligent ladle management in the embodiment of this application, as Figure 1As shown in the figure, the system includes a dynamic production rhythm calculation module for processes, an intelligent ladle management platform module, an intelligent ladle allocation module, a data analysis and statistics module, and a graphical interface module.

[0066] The dynamic production rhythm calculation module for processes is used to automatically collect the continuous casting withdrawal speed and the continuous casting production plan to dynamically adjust the operation rhythm of each process and refresh the process operation schedule.

[0067] The intelligent ladle management platform module includes ladle cold repair, hot repair management, ladle baking management, ladle use management, etc. to obtain the real-time status of the ladle.

[0068] The intelligent ladle allocation module allocates a suitable ladle for each heat of molten steel according to the heat production plan and the real-time status of the ladle.

[0069] The data analysis and statistics module generates statistical reports by collecting and analyzing data in the management process.

[0070] The graphical interface module displays the intelligent ladle allocation situation and statistical reports for the operator to view and provides decision-making support.

[0071] As Figure 2 and Figure 3 shown, the method for dynamically calculating the production rhythm of processes includes automatically collecting real-time production information, obtaining the continuous casting production plan, and maintaining a static table of the time consumption of each process, thereby calculating the start and end times of each process. The specific method is as follows:

[0072] (1) Obtain the starting casting time, the continuous casting production plan, and the static table of the time consumption of each process. As Figure 3 shown, the continuous casting production plan includes the casting sequence number under the casting number, the melting number, the steel grade, the width, the thickness, and the weight. As Figure 2 shown, the static table of the time consumption of each process includes the time consumption of each process.

[0073] (2) According to the current time and the remaining casting time (calculated from the remaining casting weight, withdrawal speed, width, thickness, and density), calculate the end time of the casting sequence number under the casting number. Among them, the density is a constant.

[0074] (3) According to (2) and the time constant, obtain the start time of the next casting sequence number under the casting number.

[0075] (4) According to (3) and the casting time (calculated from the casting weight, withdrawal speed, width, thickness, and density), calculate the end time of the next casting sequence number under the casting number.

[0076] (5) By analogy, the start time and end time of all casting sequence numbers under the casting number can be obtained.

[0077] (6) According to the static table of the time consumed in each process, reverse-deduce the start and end times of each process.

[0078] As Figure 4 shown, the intelligent ladle management platform includes ladle cold repair and hot repair management, and records ladle repair data. Ladle baking management ensures that the baking effect meets production requirements. Ladle use management obtains the ladles in use, and predicts the maintenance needs of the ladles by tracking the use history and repair records of the ladles. The integration of information such as the basic information, status data, and transfer path of the ladles realizes the monitoring of the ladle status, and the ladle status is mainly divided into in use, casting end, hot repair, cold repair, curing, drying, standby, heating, waiting to be put into use, etc.

[0079] As Figure 5 and Figure 6 shown, the intelligent ladle allocation method of this embodiment includes:

[0080] (1) Obtain the continuous casting production plan including melting number, steel grade, converter start time, etc.

[0081] (2) Generate a real-time ladle status table based on the status experienced by each ladle since its last use.

[0082] (3) Match each continuous caster plan with the available ladles:

[0083] Read the real-time ladle status table to obtain the ladles with status "waiting to be put into use", "heating", "casting end", "hot repair".

[0084] If it is in the "waiting to be put into use" state, judge whether the difference between the converter start time and the end time of the last heating is less than or equal to 20 minutes. If it is and the steel grades match, it is available; if it is and the steel grades do not match, make a mark to indicate that it is not available; if the difference is greater than 20 minutes, it is not available.

[0085] If it is in the "heating" state, estimate the heating end time, and judge whether the difference between the converter start time and the end time of the last heating is less than or equal to 20 minutes. If it is and the steel grades match, it is available; if it is and the steel grades do not match, make a mark to indicate that it is not available; if the difference is greater than 20 minutes, it is not available.

[0086] If it is in the "casting end" state, judge whether the difference between the converter start time and the casting end time is less than or equal to 8 hours. If it is and the steel grades match, it is available; if it is and the steel grades do not match, make a mark to indicate that it is not available; if the difference is greater than 8 hours, it is not available.

[0087] If it is in the "hot repair" state, judge whether the converter start time is after the hot repair end time. If it is and the steel grades match, it is available; if it is and the steel grades do not match, make a mark to indicate that it is not available; if the converter start time is not after the hot repair end time, it is not available.

[0088] As Figure 7 and Figure 8 shown, data analysis and statistics include the ladle turnover table displaying the ladle information for the current shift and generating early warnings for the number of times of component use. The general overview of ladle information displays all the used ladle information, such as the last steel grade, ladle number, ladle level, final casting time, current status, heating prompt. This provides an intuitive user interface, enabling operators to easily obtain the required information.

[0089] In addition, the ladle allocation method based on dynamic process rhythm control and ladle intelligent management described in Figure 1 the embodiments of the present application can be implemented by a computer device. Figure 9 It is a schematic diagram of the hardware structure of the computer device in the embodiments of the present application. As Figure 9 shown, the device may include a processor 301 and a memory 302 storing computer program instructions.

[0090] Specifically, the above-mentioned processor 301 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0091] Among them, the memory 302 may include a mass storage for data or instructions. By way of example and not limitation, the memory 302 may include a hard disk drive (HDD), a floppy disk drive, a solid state drive (SSD), a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive, or a combination of two or more of these. In a suitable case, the memory 302 may include removable or non-removable (or fixed) media. In a suitable case, the memory 302 may be internal or external to the data processing device. In a particular embodiment, the memory 302 is a non-volatile memory. In a particular embodiment, the memory 302 includes a read-only memory (ROM) and a random access memory (RAM). In a suitable case, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically alterable ROM (EAROM), or a flash memory, or a combination of two or more of these. In a suitable case, the RAM may be a static random access memory (SRAM) or a dynamic random access memory (DRAM), where the DRAM may be a fast page mode dynamic random access memory (FPMDRAM), an extended date out dynamic random access memory (EDODRAM), a synchronous dynamic random access memory (SDRAM), etc.

[0092] The memory 302 can be used to store or cache various data files required for processing and / or communication, as well as possible computer program instructions executed by the processor 301.

[0093] By reading and executing the computer program instructions stored in the memory 302, the processor 301 implements any one of the ladle allocation methods based on dynamic process rhythm control and ladle intelligent management in the above embodiments.

[0094] In some embodiments, the point cloud generation device may further include a communication interface 303 and a bus 300. Among them, as Figure 9 shown, the processor 301, the memory 302, and the communication interface 303 are connected through the bus 300 and complete communication with each other.

[0095] The communication interface 303 is used to implement communication between various modules, devices, units, and / or devices in the embodiments of the present application. The communication interface 303 can also implement data communication with other components such as external devices, image / data acquisition devices, databases, external storage, and image / data processing workstations.

[0096] The bus 300 includes hardware, software, or both, and couples components of the point cloud generation device to each other. The bus 300 includes, but is not limited to, at least one of the following: Data Bus, Address Bus, Control Bus, Expansion Bus, Local Bus. By way of example and not limitation, the bus 300 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses or a combination of two or more of these. In suitable cases, the bus 300 may include one or more buses. Although embodiments of the present application describe and illustrate specific buses, the present application contemplates any suitable bus or interconnect.

[0097] The computer device can execute the ladle allocation method based on dynamic process rhythm control and ladle intelligent management in the embodiments of the present application based on the ladle intelligent management platform, so as to implement the combination Figure 1 of the ladle allocation method based on dynamic process rhythm control and ladle intelligent management described above.

[0098] In addition, in combination with the ladle allocation method based on dynamic process rhythm control and ladle intelligent management in the above embodiments, the embodiments of the present application can be implemented by providing a computer-readable storage medium. Computer program instructions are stored on the computer-readable storage medium; when the computer program instructions are executed by a processor, any one of the ladle allocation methods based on dynamic process rhythm control and ladle intelligent management in the above embodiments is implemented.

[0099] It should be noted that the technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification. In addition, according to the needs of implementation, the various steps / components described in the present application can be split into more steps / components, or two or more steps / components or partial operations of steps / components can be combined into new steps / components to achieve the purpose of the present invention.

[0100] Those skilled in the art can easily understand that the above embodiments only represent several implementation manners of the present application. The description is relatively specific and detailed, but it cannot be construed as a limitation on the scope of the invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application should be subject to the appended claims.

Claims

1. A ladle bagging method based on dynamic process rhythm control and intelligent ladle management, characterized in that The method includes: Obtaining real-time production information, continuous casting production plans, and static tables of the time consumed for each process, calculating the start and end times of each process, automatically collecting the continuous casting drawing speed, dynamically adjusting the operation rhythm of each process, and generating an operation schedule for each process; Implementing real-time monitoring of the ladle status through ladle maintenance management, ladle usage management, and ladle baking management to obtain the real-time status of the ladle; among them, ladle maintenance management includes ladle cold repair management and ladle hot repair management, ladle usage management includes the daily usage of the ladle, the usage of ladle components, and early warnings for the usage of ladle components, and ladle baking management includes baking records and baking suggestions; According to the operation schedule of each process and the real-time status of the ladle, allocate a suitable ladle for each heat of molten steel and generate a ladle allocation table; Generate statistical reports by collecting and analyzing data during the management process to achieve an overview of ladle information; among them, the statistical reports include ladle repair records corresponding to ladle maintenance management, ladle turnover tables corresponding to ladle usage management, and ladle baking tables corresponding to ladle baking management; Display the operation schedule of each process, the ladle allocation table, and the statistical reports through a graphical interface for operators to view and provide decision support.

2. The ladle bag matching method based on dynamic process rhythm control and ladle intelligent management according to claim 1, characterized in that, Obtaining real-time production information, continuous casting production plans, and static tables of the time consumed for each process, and calculating the start and end times of each process, including: Obtaining the starting casting time of the current casting sequence number, continuous casting production plans, and static tables of the time consumed for each process; among them, the continuous casting production plan includes the casting sequence number, melting number, steel grade, width, thickness, and weight under the casting sequence number, and the static tables of the time consumed for each process include the time consumed for each process; According to the current time and the remaining casting time, calculate the end time of the current casting sequence number under the casting sequence number; among them, the remaining casting time is calculated based on the remaining casting weight, drawing speed, width, thickness, and density; According to the end time of the current casting sequence number under the casting sequence number and the time constant, obtain the start time of the next casting sequence number under the casting sequence number; According to the start time of the next casting sequence number under the casting sequence number and the casting time, calculate the end time of the next casting sequence number under the casting sequence number; among them, the casting time is calculated based on the casting weight, drawing speed, width, thickness, and density; And so on, obtain the start time and end time of all casting sequence numbers under the casting sequence number; According to the static tables of the time consumed for each process, reverse-calculate the start and end times of each process.

3. The ladle allocation method based on dynamic process rhythm control and intelligent ladle management according to claim 1, wherein The ladle maintenance management records ladle maintenance data; the ladle usage management predicts the maintenance requirements of the ladle by tracking the usage history and maintenance records of the ladle; the ladle baking management ensures that the baking effect meets the production requirements; Through the integration of the basic information, status data, and transfer path information of the ladle, achieve real-time monitoring of the ladle status, and the status of the ladle includes in use, casting completed, hot repair, cold repair, curing, drying, standby, heating, and waiting to be put into use.

4. The ladle bagging method based on dynamic process rhythm control and intelligent ladle management according to claim 1, wherein According to the operation schedule of each process and the real-time status of the ladle, allocate a suitable ladle for each heat of molten steel, including: Obtaining the continuous casting production plan and the operation schedule of each process, and the continuous casting production plan includes the casting sequence number, melting number, and steel grade under the casting sequence number; Generate a real-time status table of the ladle based on the status each ladle has experienced since its last use; For each continuous casting production plan, match it with the available ladles: Read the real-time status table of the steel ladle to obtain the steel ladles with the status of waiting to be cast, heating, casting completed and hot repair; If the ladle is in the waiting state, determine whether the difference between the converter start time and the last heating end time is less than or equal to the first time. If so and the steel type matches, the ladle is available. If so and the steel type does not match, mark it and indicate that the ladle is unavailable. If the difference is greater than the first time, the ladle is unavailable. If the ladle is in the heating state, estimate the heating end time, and judge whether the difference between the converter start time and the last heating end time is less than or equal to the first time. If so and the steel type matches, the ladle is available. If so and the steel type does not match, mark it and indicate that the ladle is unavailable. If the difference is greater than the first time, the ladle is unavailable. If the ladle is in the casting end state, it is determined that the difference between the converter start time and the casting end time is less than or equal to the second time. If so, and the steel type matches, the ladle is available. If so, and the steel type does not match, a mark is made to indicate that the ladle is unavailable. If the difference is greater than the second time, the ladle is unavailable. If the ladle is in hot repair state, determine whether the start time of the converter is after the end time of the hot repair. If it is and the steel type matches, the ladle can be used. If it is and the steel type does not match, mark it and the ladle cannot be used. If the start time of the converter is not after the end time of the hot repair, the ladle cannot be used.

5. The ladle allocation method based on dynamic process rhythm control and intelligent ladle management according to claim 4, characterized in that The first time is 20 minutes and the second time is 8 hours.

6. The ladle allocation method based on dynamic process rhythm control and intelligent ladle management according to claim 1, wherein, The ladle turnover table displays the ladle information for the shift and generates early warnings based on the number of times the ladle components are used.

7. The ladle allocation method based on dynamic process rhythm control and intelligent ladle management according to claim 1, wherein The statistical report provides an overview of the ladle information and displays all the ladle information used, including the last steel type, tank number, tank grade, final pouring time, current status and heating prompts.

8. A ladle allocation system based on dynamic process rhythm control and ladle intelligent management for implementing the ladle allocation method based on dynamic process rhythm control and ladle intelligent management according to any one of claims 1 to 7, characterized in that, The system includes a dynamic calculation process production rhythm module, a ladle intelligent management platform module, an intelligent ladle distribution module, a data analysis and statistics module and a graphical interface module; among which: The module for dynamically calculating the production rhythm of each process is used to obtain real-time production information, continuous casting production plan and static table of each process time consumption, calculate the start and end time of each process, automatically collect the continuous casting speed, dynamically adjust the operation rhythm of each process, and generate a process operation schedule; The intelligent ladle management platform module is used to monitor the status of the ladle in real time through ladle maintenance management, ladle use management and ladle baking management, so as to obtain the real-time status of the ladle; among which, the ladle maintenance management includes the ladle cold repair management and the ladle hot repair management, the ladle use management includes the ladle use status per shift, the ladle component use status and the ladle component use warning, and the ladle baking management includes baking records and baking suggestions; Intelligent ladle allocation module, used to allocate appropriate ladle to each furnace of molten steel according to the process operation schedule and the real-time status of the ladle, and generate a ladle allocation table; The data analysis and statistics module is used to generate statistical reports by collecting and analyzing data in the management process, so as to achieve an overview of ladle information. Among them, the statistical reports include ladle repair records corresponding to ladle repair management, ladle turnover tables corresponding to ladle usage management, and ladle baking tables corresponding to ladle baking management. The graphical interface module is used to display the process operation schedule, ladle allocation table, and statistical reports through a graphical interface for operators to view and provide decision-making support.

9. A computer device, characterized in that, It includes: A processor and a memory, where the memory stores programs or instructions that can run on the processor. When the programs or instructions are executed by the processor, the steps of the ladle allocation method based on dynamic process rhythm control and intelligent ladle management described in any one of claims 1 to 7 are implemented.

10. A readable storage medium, characterized in that, Programs or instructions are stored thereon. When the programs or instructions are executed by the processor, the steps of the ladle allocation method based on dynamic process rhythm control and intelligent ladle management described in any one of claims 1 to 7 are implemented.

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