A steelmaking scheduling quality control system and method

Abstract

The present invention relates to a steelmaking scheduling quality control system and method. The system includes a steelmaking plan module, an iron ore demand forecasting module, a dispatching order module, an electric furnace time delay module, a production plan module, and a database. The dispatching order module includes adjacent casting composition control standards, automatic matching of cut lengths, scrap type requirements, alloy type push, molten iron residue control, surplus steel utilization, molten iron residue utilization, technical solution requirements, furnace start / stop time, and machine start / stop time. The method includes performing logical operations on the steelmaking quality control database related to the steelmaking plan scheduling parameters with the iron ore demand forecasting module and the dispatching order module, and generating a production plan based on the logical operation result and the output of the electric furnace time delay module. The present invention has the advantages of strong logic, high plan fulfillment rate, close connection between steelmaking scheduling quality control and production operation, and dynamic response and error prevention, and can accurately realize the conversion and transfer between steelmaking scheduling quality control, steelmaking plan, and production plan.

Description

Technical Field

[0001] The present invention belongs to the technical field of steelmaking scheduling quality control, and particularly relates to a steelmaking scheduling quality control system and method. Background Art

[0002] With the increasing trend of multi-variety and small-batch demands in the steel market, steel enterprises have put forward higher requirements for production flexibility, especially for the scheduling of steelmaking and rolling plans at the planning level. A reasonable steelmaking process operation plan and plan rearrangement in case of accidents are important guarantees for the precise connection, orderly operation, production efficiency and enterprise competitiveness of each process in the steelmaking process. The steel production process is a production mode that combines process type and discrete type, involving processes such as ironmaking, steelmaking, and rolling, and involving numerous and complex special processes. Its scheduling quality control system is different from that of other industries. It not only needs to consider issues such as resource utilization rate and production cycle, but also needs to consider the special process requirements and equipment status of the steel industry. At present, most common steelmaking scheduling quality control systems belong to static methods, which cannot automatically adjust the operation plan according to the on-site working conditions, and have disadvantages such as weak logic, large randomness, low plan fulfillment rate, non-intuitive display, non-sharing of information, and inability to dynamically respond. It is difficult to closely connect the steelmaking scheduling quality control with production operations, affecting the conversion and transfer between the steelmaking plan and the production plan, and the on-site operation results are not very satisfactory. Summary of the Invention

[0003] The present invention aims to solve at least one of the above technical problems to some extent.

[0004] For this purpose, the present invention proposes a steelmaking scheduling quality control system and method.

[0005] The technical solution of the present invention is as follows:

[0006] A steelmaking scheduling quality control system, the system includes a steelmaking plan module, an iron melt demand prediction module, a dispatch order module, an electric furnace delay module, a production plan module and a database;

[0007] The steelmaking plan module is used for the steelmaking plan scheduling parameters of the steelmaking plan module;

[0008] The iron melt demand prediction module is used to receive the steelmaking tapping information, compensate for the steelmaking plan scheduling parameters of the steelmaking plan module through logical operation with the database, and output the iron melt demand for each furnace to the production plan module;

[0009] The dispatch order module is used to output a dispatch notice to the production plan module based on the steelmaking plan scheduling parameters of the steelmaking plan module and logical operation with the database;

[0010] The electric furnace time error module is used to receive the start-up and shutdown information of the continuous casting machine, judge the time error information and output it to the production plan module;

[0011] The production plan module is used to receive the information from the hot metal demand prediction module, the dispatching order module, and the electric furnace time error module, and generate a production plan;

[0012] The database is used to store the steelmaking quality control data related to the steelmaking plan scheduling parameters of the steelmaking plan module.

[0013] For the above steelmaking scheduling quality control system, preferably, the steelmaking plan scheduling parameters of the steelmaking plan module include the steelmaking grade, the number of scheduled furnaces, and the furnace start-up time. The hot metal demand prediction module is connected to the electric furnace to receive the electric furnace status information, and the hot metal demand prediction module is connected to the steelmaking tapping end detector to receive the steelmaking tapping information. The database includes a static steelmaking table, and the static steelmaking table is used to store the weight and time requirements of molten steel per furnace according to the constraints of the electric furnace status, the number of scheduled furnaces, and the furnace start-up time;

[0014] The hot metal demand prediction module includes a static steelmaking table rule and a hot metal prediction adjustment rule. The static steelmaking table rule is used to logically calculate and output the weight and sequential time requirements of molten steel per furnace based on the electric furnace status information of the electric furnace, the steelmaking plan scheduling parameters of the dispatching order module, and the static steelmaking table. The hot metal prediction adjustment rule is used to compensate the sequential time requirement of the next furnace of molten steel of the static steelmaking table rule based on the current furnace steelmaking tapping information of the electric furnace.

[0015] For the above steelmaking scheduling quality control system, preferably, the steelmaking plan scheduling parameters of the steelmaking plan module include sequential steel grade composition information and the number of scheduled furnaces. The database includes a post-static table, and the post-static table is used to store the internal control range of each element and the internal control range of the difference between each element in the steel grade composition. The dispatching order module includes an adjacent casting composition control standard unit, and the adjacent casting composition control standard unit includes a static table calculation rule. The static table calculation rule is used to judge the connection result of the steel grades before and after adjacent castings by sequentially comparing the post-static table based on the difference in the steel grade composition information within multiple sequences and the number of scheduled furnaces of the steelmaking plan scheduling parameters.

[0016] In the static table calculation rules, for each element of the steel grade composition in the nth order, the maximum value within the internal control range of each element is taken. For each element of the steel grade composition from the (n - 1)th order to the (n - 6)th order, the minimum value within the internal control range of each element is taken. When comparing successively, compare the steel grade composition of the nth order with that of the (n - 1)th order. If the number of production furnaces scheduled in the (n - 1)th order is less than 6, compare the steel grade composition of the nth order with that of the (n - 2)th order. If the cumulative number of production furnaces scheduled from the (n - 1)th order to the (n - 2)th order is less than 6, compare the steel grade composition of the nth order with that of the (n - 3)th order. If the cumulative number of production furnaces scheduled from the (n - 1)th order to the (n - 3)th order is less than 6, compare the steel grade composition of the nth order with that of the (n - 4)th order. If the cumulative number of production furnaces scheduled from the (n - 1)th order to the (n - 4)th order is less than 6, compare the steel grade composition of the nth order with that of the (n - 5)th order. If the cumulative number of production furnaces scheduled from the (n - 1)th order to the (n - 5)th order is less than 6, compare the steel grade composition of the nth order with that of the (n - 6)th order.

[0017] In the above steelmaking scheduling quality control system, preferably, the steelmaking plan scheduling parameters of the steelmaking plan module include steel grade, technical agreement, and section. The database includes a quantity static table, which is used to store the tundish remaining steel quantity corresponding to the steel grade and technical agreement, store the ladle remaining steel quantity corresponding to the steel grade, technical agreement, and section, store the head cutting quantity, tail cutting quantity, and tapping steel water quantity. The dispatch order module includes a fixed-length quantity automatic matching unit, and the fixed-length quantity automatic matching unit includes an optimized cutting model. The optimized cutting model performs logical operations based on the scheduling parameters of the steelmaking plan module and the quantity static table in the database, and predicts the cutting results of each stream and each fixed length and the optimized cutting results of the tail billet with the goal of maximizing the steel water yield.

[0018] In the above steelmaking scheduling quality control system, preferably, the steelmaking plan scheduling parameters of the steelmaking plan module include product design specification standards and hot metal composition requirements. The database includes a steel grade plan library and an alloy plan library. The steel grade plan library is used to store the required steel grade types and the waste steel type combination plans corresponding to the product design specification standards and hot metal composition requirements. The alloy plan library is used to store the optimal alloy types corresponding to the hot metal composition requirements and the optimal plan of the components contained in the alloy.

[0019] The dispatch order module includes a hot metal and waste steel type requirement unit and an alloy type push unit. The hot metal and waste steel type requirement unit is used to match the steel grade plan library in the database according to the steelmaking plan scheduling parameters of the steelmaking plan module to obtain the required steel grade types and the waste steel type combination plans. The alloy type push unit is used to match the alloy plan library in the database according to the steelmaking plan scheduling parameters of the steelmaking plan module to obtain the required alloy type push plan.

[0020] In the above steelmaking scheduling quality control system, preferably, the steelmaking plan scheduling parameters of the steelmaking plan module include steel water requirement standards. The database includes hot metal residual control standards and a remaining steel utilization static table. The hot metal residual control standards are used to store the quality requirement standards for the hot metal residual composition's requirements for the next furnace of steel water. The remaining steel utilization static table is used to store the remaining steel utilization standards corresponding to the steel water requirement standards.

[0021] The scheduling order module includes a molten iron residue control unit and a surplus steel utilization unit. The molten iron residue control unit is connected to a molten iron residue detector and receives the information of the molten iron residue composition of the current furnace. The molten iron residue control unit is used to compare and judge the result of molten iron residue utilization based on the requirements of the molten steel for the next furnace in the production scheduling parameters of the steelmaking plan module of the steelmaking plan module and the molten iron residue control standard in the database. The surplus steel utilization unit is connected to a surplus steel detector and receives surplus steel information. The surplus steel utilization unit is used to judge the result of surplus steel utilization based on the steelmaking requirement standard in the production scheduling parameters of the steelmaking plan module of the steelmaking plan module, the surplus steel detection result, and the static table of surplus steel utilization in the database.

[0022] For the above steelmaking scheduling quality control system, preferably, the scheduling order module includes a technical solution requirement unit and a ladle life requirement unit. The technical solution requirement unit is connected to a verification type equipment detector and a product performance detector, receives the detection results, and outputs to the production plan module;

[0023] The production scheduling parameters of the steelmaking plan module of the steelmaking plan module include the number of production furnaces. The database includes a static table of ladle life requirements. The static table of ladle life requirements includes the ladle life data corresponding to the furnace number. The ladle life requirement unit is used to judge the ladle repair result based on the cumulative number of production furnaces in the scheduling order module and match the static table of ladle life requirements in the database.

[0024] For the above steelmaking scheduling quality control system, preferably, the scheduling order module includes a furnace start / stop time unit and a machine start / stop time unit. The furnace start / stop time unit and the machine start / stop time unit are connected to a collection system. The collection system is used to collect the molten iron supply time, equipment operation time, and production interval time. The furnace start / stop time unit is used to reverse deduce the furnace start time based on the collection system and forward deduce the furnace stop time based on the furnace start time. The machine start / stop time unit is used to reverse deduce the machine start time based on the collection system and the furnace start time and forward deduce the machine stop time based on the machine start time.

[0025] A steelmaking scheduling quality control method, based on the above steelmaking scheduling quality control system, the method is: the production scheduling parameters of the steelmaking plan module of the steelmaking plan module, the steelmaking quality control database related to the production scheduling parameters of the steelmaking plan module of the steelmaking plan module, the molten iron demand prediction module, and the scheduling order module perform logical operations. The logical operation result and the output of the electric furnace time error module generate a production plan.

[0026] Compared with the prior art, the beneficial effects of the present invention are:

[0027] Through the production scheduling parameters of the steelmaking plan module of the steelmaking plan module, the steelmaking quality control database related to the production scheduling parameters of the steelmaking plan module of the steelmaking plan module, the molten iron demand prediction module, and the scheduling order module perform logical operations, and feedback to the scheduling order module according to the on-site working conditions. The logical operation result and the output of the electric furnace time error module generate a production plan;

[0028] The production plan includes the weight of molten steel required per furnace and the sequential time of molten steel demand in the molten iron demand prediction module, the results of steel grade connection before and after adjacent casting sequences in the adjacent casting sequence composition control standard unit, the results of cut-to-length quantity automatic matching for each strand and tail billet optimization cutting in the cut-to-length quantity automatic matching unit, the required steel grade types and the waste steel type combination plan in the waste steel type demand unit, the required alloy type push plan in the alloy type push unit, the results of molten iron residue utilization in the molten iron residue control unit, the results of surplus steel utilization in the surplus steel utilization unit, the test results in the technical solution requirements unit, the ladle repair results in the ladle life requirement unit, the electric furnace start-up time and shutdown time in the start-up and shutdown time unit, the continuous caster start-up time and shutdown time in the start-up and shutdown time unit, and the misoperation information in the electric furnace misoperation module, so as to achieve scheduling quality control.

[0029] In summary, the present invention has the advantages of strong logic, high plan fulfillment rate, close connection between steelmaking scheduling quality control and production operations, and dynamic response for error prevention. It can accurately realize the conversion and transfer between steelmaking scheduling quality control, steelmaking plan and production plan, and the on-site operation results are excellent. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is the structure of the steelmaking scheduling quality control system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0031] The embodiments of the present invention will be described in detail below. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and are intended to explain the present invention, and should not be construed as a limitation to the present invention.

[0032] In the present invention, unless otherwise clearly defined and limited, terms such as "installation", "connection", "connection", "fixation" and other terms should be understood 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 directly connected, or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0033] Figure 1 As shown, it is a preferred embodiment of the steelmaking scheduling quality control system. The system includes a steelmaking plan module, a molten iron demand prediction module, a dispatch order module, an electric furnace misoperation module, a production plan module and a database;

[0034] The steelmaking plan module is used for the steelmaking plan scheduling parameters of the steelmaking plan module;

[0035] The molten iron demand prediction module is used to receive the steelmaking tapping information, compensate the steelmaking plan scheduling parameters of the steelmaking plan module through database logical operations, and output the molten iron demand per furnace to the production plan module;

[0036] The dispatch order module is used to output a dispatch notice to the production plan module based on the steelmaking plan scheduling parameters of the steelmaking plan module through database logical operations;

[0037] The electric furnace time error module is used to receive the start-up and shutdown information of the continuous caster, judge the time error information and output it to the production plan module;

[0038] The production plan module is used to receive the information from the molten iron demand prediction module, the dispatch order module, and the electric furnace time error module, and generate a production plan;

[0039] The database is used to store the steelmaking quality control data related to the steelmaking plan scheduling parameters of the steelmaking plan module.

[0040] In the above steelmaking scheduling quality control system, preferably, the steelmaking plan scheduling parameters of the steelmaking plan module include the steelmaking grade, the number of scheduled furnaces, and the furnace start-up time. The molten iron demand prediction module is connected to the electric furnace to receive the electric furnace status information, and the molten iron demand prediction module is connected to the tapping end detector to receive the steelmaking tapping information. The database includes a static steelmaking table, and the static steelmaking table is used to store the weight of the molten iron demand per furnace and the molten iron demand time restricted by the electric furnace status, the number of scheduled furnaces, and the furnace start-up time;

[0041] The molten iron demand prediction module includes a static steelmaking table rule and a molten iron prediction adjustment rule. The static steelmaking table rule is used to output the weight of the molten iron demand per furnace and the sequential time of the molten iron demand through logical operations based on the electric furnace status information of the electric furnace, the steelmaking plan scheduling parameters of the dispatch order module, and the static steelmaking table. The molten iron prediction adjustment rule is used to compensate the sequential time of the molten iron demand for the next furnace of the static steelmaking table rule based on the current furnace steelmaking tapping information of the electric furnace.

[0042] In the above steelmaking scheduling quality control system, preferably, the steelmaking plan scheduling parameters of the steelmaking plan module include sequential steel grade composition information and the number of scheduled furnaces. The database includes a post-static table, and the post-static table is used to store the internal control range of each element in the steel grade composition and the internal control range of the difference between each element. The dispatch order module includes an adjacent casting composition control standard unit, and the adjacent casting composition control standard unit includes a static table calculation rule. The static table calculation rule is used to judge the connection result of the steel grades before and after adjacent castings by sequentially comparing the post-static table based on the difference in the steel grade composition information within multiple sequences and the number of scheduled furnaces of the steelmaking plan scheduling parameters.

[0043] In the static table calculation rules, for each element of the steel grade composition in the nth order, the maximum value within the internal control range of each element is taken. For each element of the steel grade composition from the (n - 1)th order to the (n - 6)th order, the minimum value within the internal control range of each element is taken. When comparing successively, compare the steel grade composition of the nth order with that of the (n - 1)th order. If the number of production furnaces in the (n - 1)th order is less than 6, compare the steel grade composition of the nth order with that of the (n - 2)th order. If the cumulative number of production furnaces from the (n - 1)th order to the (n - 2)th order is less than 6, compare the steel grade composition of the nth order with that of the (n - 3)th order. If the cumulative number of production furnaces from the (n - 1)th order to the (n - 3)th order is less than 6, compare the steel grade composition of the nth order with that of the (n - 4)th order. If the cumulative number of production furnaces from the (n - 1)th order to the (n - 4)th order is less than 6, compare the steel grade composition of the nth order with that of the (n - 5)th order. If the cumulative number of production furnaces from the (n - 1)th order to the (n - 5)th order is less than 6, compare the steel grade composition of the nth order with that of the (n - 6)th order.

[0044] In the above steelmaking scheduling quality control system, preferably, the steelmaking plan scheduling parameters of the steelmaking plan module include steel grade, technical agreement, and section. The database includes a quantity static table. The quantity static table is used to store the corresponding tundish remaining steel quantity for the steel grade and technical agreement, store the corresponding ladle remaining steel quantity for the steel grade, technical agreement, and section, store the head cutting quantity, tail cutting quantity, and refined steel water quantity out of the station. The dispatch order module includes a fixed-length quantity automatic matching unit. The fixed-length quantity automatic matching unit includes an optimized cutting model. The optimized cutting model performs logical operations based on the scheduling parameters of the steelmaking plan module and the quantity static table in the database, and predicts the cutting results of each fixed length for each strand and the optimized cutting results of the tail billet with the goal of maximizing the steel yield.

[0045] In the above steelmaking scheduling quality control system, preferably, the steelmaking plan scheduling parameters of the steelmaking plan module include product design specification standards and hot metal composition requirements. The database includes a steel grade plan library and an alloy plan library. The steel grade plan library is used to store the required steel grade types and the waste steel type combination plans corresponding to the product design specification standards and hot metal composition requirements. The alloy plan library is used to store the optimal alloy types corresponding to the hot metal composition requirements and the optimal plans for the components contained in the alloy.

[0046] The dispatch order module includes a hot metal and waste steel type requirement unit and an alloy type push unit. The hot metal and waste steel type requirement unit is used to match the steel grade plan library in the database based on the steelmaking plan scheduling parameters of the steelmaking plan module to obtain the required steel grade types and the waste steel type combination plans. The alloy type push unit is used to match the alloy plan library in the database based on the steelmaking plan scheduling parameters of the steelmaking plan module to obtain the required alloy type push plan.

[0047] In the above steelmaking scheduling quality control system, preferably, the steelmaking plan scheduling parameters of the steelmaking plan module include steel water requirement standards. The database includes hot metal residual control standards and a remaining steel utilization static table. The hot metal residual control standards are used to store the quality requirement standards for the hot metal residual composition's requirements for the next furnace of steel water. The remaining steel utilization static table is used to store the remaining steel utilization standards corresponding to the steel water requirement standards.

[0048] The dispatch order module includes a molten iron residue control unit and a surplus steel utilization unit. The molten iron residue control unit is connected to a molten iron residue detector to receive the current furnace molten iron residue composition information. The molten iron residue control unit is used to compare and judge the molten iron residue utilization result based on the requirements of the molten steel for the next furnace in the steelmaking plan scheduling parameters of the steelmaking plan module and the molten iron residue control standard in the database. The surplus steel utilization unit is connected to a surplus steel detector to receive the surplus steel information. The surplus steel utilization unit is used to judge the surplus steel utilization result based on the steel water requirement standard in the steelmaking plan scheduling parameters of the steelmaking plan module, the surplus steel detection result, and by matching the surplus steel utilization static table in the database.

[0049] For the above steelmaking scheduling quality control system, preferably, the dispatch order module includes a technical solution requirement unit and a ladle life requirement unit. The technical solution requirement unit is connected to a verification type equipment detector and a product performance detector, receives the detection results, and outputs to the production plan module;

[0050] The steelmaking plan scheduling parameters of the steelmaking plan module include the number of scheduled furnaces. The database includes a ladle life requirement static table, and the ladle life requirement static table includes the ladle life data corresponding to the furnace number. The ladle life requirement unit is used to judge the ladle repair result based on the cumulative number of scheduled furnaces in the dispatch order module by matching the ladle life requirement static table in the database.

[0051] For the above steelmaking scheduling quality control system, preferably, the dispatch order module includes a furnace start / stop time unit and a machine start / stop time unit. The furnace start / stop time unit and the machine start / stop time unit are connected to a collection system. The collection system is used to collect the molten iron supply time, equipment operation time, and production interval time. The furnace start / stop time unit is used to reverse-derive the furnace start time based on the collection system and forward-derive the furnace stop time based on the furnace start time. The machine start / stop time unit is used to reverse-derive the machine start time based on the collection system and the furnace start time and forward-derive the machine stop time based on the machine start time.

[0052] A steelmaking scheduling quality control method, based on the above steelmaking scheduling quality control system, the method is as follows: The steelmaking plan scheduling parameters of the steelmaking plan module, the steelmaking quality control database related to the steelmaking plan scheduling parameters of the steelmaking plan module are logically operated with the molten iron demand prediction module and the dispatch order module, and the logical operation result and the output of the electric furnace mis-time module are used to generate a production plan.

[0053] The working principle and effect of the present invention are:

[0054] The steelmaking plan module is used for the steelmaking plan scheduling parameters of the steelmaking plan module. The steelmaking plan scheduling parameters of the steelmaking plan module of the steelmaking plan module include the steelmaking grade, the number of scheduled furnaces, the furnace start time, the sequential steel grade composition information, the number of scheduled furnaces, the steel grade, the technical agreement, the section, the product design specification standard, the molten iron composition requirement, and the steel water requirement standard.

[0055] Hot metal demand prediction module: The electric furnace is connected to the hot metal demand prediction module to feedback the status of the electric furnace. The status of the electric furnace includes the normal rhythm status of the electric furnace and the furnace tapping status. The smelting static table includes: ① setting the required weight of molten steel per furnace; ② according to the normal rhythm of the electric furnace, based on the number of scheduled furnaces, corresponding to the first furnace at 50 minutes / furnace, the second furnace at 43 minutes / furnace, the third furnace at 50 minutes / furnace, the fourth furnace at 43 minutes / furnace, the fifth furnace at 50 minutes / furnace, and the subsequent continuous casting furnaces at 42 minutes / furnace. Calculate the sequential time of molten steel demand in sequence at the start-up time, that is, the start time and end time of molten steel corresponding to each furnace for the steel grade. ③ According to the furnace tapping status of the electric furnace, that is, the status of the electric furnace after inspection and resumption of production, corresponding to the first furnace at 60 minutes / furnace, and the 2nd - 10th furnaces at 50 minutes / furnace. The rules of the steel grade smelting static table are based on the electric furnace status information, the steelmaking plan scheduling parameters, and the logical operation of the steel grade smelting static table. Calculate the sequential time of molten steel demand in sequence at the start-up time to deduce the start time and end time of molten steel corresponding to each furnace for the steel grade.

[0056] The molten steel tapping end detector is connected to the hot metal demand prediction module to feedback the current furnace steelmaking tapping time information. The hot metal prediction adjustment rules include using the current furnace steelmaking tapping time information as the hot metal demand deviation, compensating the sequential time of molten steel demand for the next furnace, and calculating the smelting static table rules. The hot metal demand prediction module outputs the required weight of molten steel per furnace and the sequential time of molten steel demand to the production plan module through the logical operation of the hot metal prediction adjustment rules and the smelting static table rules, realizing the close connection scheduling and dynamic response correction of hot metal demand prediction.

[0057] Adjacent casting composition control standard unit: The steelmaking plan scheduling parameters of the steelmaking plan module include sequential steel grade composition information and the number of scheduled furnaces. The sequential steel grade composition information includes, for example, the information of each element such as steel grade C, S, and Mn. In the static table calculation rules of the adjacent casting composition control standard unit, for each element of the n-th order steel grade composition, take the maximum value of the internal control range of each element, and for each element of the steel grade composition from the (n - 1)-th order to the (n - 6)-th order, take the minimum value of the internal control range of each element. Set the number of scheduled furnaces as x k , where k is the order corresponding to the number of scheduled furnaces. When making successive comparison and judgment, follow the following order:

[0058] ① Calculate the difference between the corresponding elements of the n-th order and the (n - 1)-th order steel grade compositions, and judge the connection between the front and rear steel grades of adjacent castings based on whether the element difference belongs to the internal control range of each element in the post-static table.

[0059] ② When x n-1 <6, calculate the difference between the corresponding elements of the n-th order and the (n - 2)-th order steel grade compositions, and judge the connection between the front and rear steel grades of adjacent castings based on whether the element difference belongs to the internal control range of each element in the post-static table.

[0060] ③ When Calculate the differences in the corresponding elements of the steel grades of the nth order and the (n - 3)th order, and judge the connection of the steel grades before and after adjacent casting sequences based on whether the element differences fall within the internal control ranges of the elements in the post - static table;

[0061] ④ Use Calculate the differences in the corresponding elements of the steel grades of the nth order and the (n - 4)th order, and judge the connection of the steel grades before and after adjacent casting sequences based on whether the element differences fall within the internal control ranges of the elements in the post - static table;

[0062] ⑤ Use Calculate the differences in the corresponding elements of the steel grades of the nth order and the (n - 5)th order, and judge the connection of the steel grades before and after adjacent casting sequences based on whether the element differences fall within the internal control ranges of the elements in the post - static table;

[0063] ⑥ Use Calculate the differences in the corresponding elements of the steel grades of the nth order and the (n - 6)th order, and judge the connection of the steel grades before and after adjacent casting sequences based on whether the element differences fall within the internal control ranges of the elements in the post - static table;

[0064] Thus, based on the differences in the steel grade composition information within multiple sequences and the number of production furnaces scheduled, compare with the post - static table successively to judge the connection results of the steel grades before and after adjacent casting sequences, so as to achieve quality control of the composition control standards for adjacent casting sequences.

[0065] Fixed - length quantity automatic matching unit: The trimming quantity in the quantity static table is a range value, and the molten steel quantity out of the refining station is M. The optimized cutting model of the fixed - length quantity automatic matching unit performs logical operations based on the production scheduling parameters of the steelmaking plan and the quantity static table: ① Match the tundish remaining steel quantity according to the steel grade and technical agreement of the production scheduling parameters of the steelmaking plan with the quantity static table; ② Match the ladle remaining steel quantity according to the steel grade, technical agreement and section of the production scheduling parameters of the steelmaking plan with the quantity static table; ③ Calculate the predicted molten steel quantity m for each fixed - length of each strand = refined molten steel quantity - ladle remaining steel quantity - tundish remaining steel quantity - head - cutting quantity - trimming quantity, Calculate the maximum m for each fixed - length of each strand with the goal of the maximum molten steel yield rate, and match and predict the cutting for each fixed - length of each strand; ④ According to step ③, calculate the tail - billet steel quantity for each fixed - length of each strand, and compare it with the lower limit of the trimming quantity. Classify the strands with a quantity less than the lower limit of the trimming quantity into the same strand to obtain the optimized cutting result of the tail - billet, so as to achieve automatic matching of the fixed - length quantity, meet the quality control of the quantity static table and optimize the production schedule.

[0066] Hot metal and scrap type demand unit: According to the product design specification standards and hot metal composition requirements of the production scheduling parameters of the steelmaking plan, match the steel grade plan library to obtain the required steel grade types and the corresponding scrap type combination plans for the product design specification standards and hot metal composition requirements, so as to utilize scrap steel and control the quality of the production schedule.

[0067] Alloy type pushing unit: According to the molten iron composition requirements of the production scheduling parameters in the steelmaking plan, match the alloy solution library to obtain the optimal alloy type corresponding to the molten iron composition requirements and the optimal solution of the components contained in the alloy, and realize the pushing of the required alloy type to effectively utilize the alloy to control the scheduling quality.

[0068] Molten iron residue control standard unit: The molten iron residue detector is connected to the molten iron residue control unit to input the molten iron residue composition information of the finished product composition of the current furnace steel billet. Compare the requirements of the next furnace molten steel with the molten iron residue control standard according to the production scheduling parameters of the steelmaking plan. The quality requirement judgment of the molten iron residue composition for the requirements of the next furnace molten steel is used to carry out the utilization of the molten iron residue, realize the control of the molten iron residue, and ensure that the next furnace molten steel meets the quality requirements.

[0069] Surplus steel utilization unit: During the smelting production process, the surplus steel detector is connected to the surplus steel utilization unit to input the surplus steel composition information of the previous furnace. According to the molten steel requirement standard of the current furnace steelmaking plan production scheduling parameters, match the static table of surplus steel utilization, and carry out the utilization of surplus steel according to the surplus steel utilization standard judgment corresponding to the molten steel requirement standard of the surplus steel detection result. While utilizing the surplus steel, realize the quality control of the smelting requirements.

[0070] Technical solution requirement unit: Through the verification type equipment detector and product performance detector for product delivery, input the detection results to the technical solution requirement unit. The technical solution requirement unit pushes and outputs the detection results to the production plan module to guide the execution and control on site during the production process.

[0071] Ladle life requirement unit: According to the cumulative number of production furnaces in the production scheduling parameters of the steelmaking plan, match the static table of ladle life requirements, and judge the ladle repair result according to the cumulative number of production furnaces in sequence that meets the upper limit of the ladle life, so as to guide the on-line and off-line time of the ladle during the production process and control the quality of the ladle in the scheduling to meet the requirements.

[0072] Start-up and shut-down time unit: The acquisition system acquires the molten iron supply time, steel type smelting equipment time, and production interval time to form the smelting rhythm of the steel type. Reverse-derive the start-up time based on the acquisition system and forward-derive the shut-down time based on the start-up time to obtain the electric furnace start-up time and shut-down time corresponding to the production scheduling parameters of the steelmaking plan.

[0073] Start-up and shutdown time unit: The acquisition system acquires the smelting cycle of the steel type smelting equipment, the refining cycle time, the production interval time of tundish baking preparation and water preparation, and reverse-derives the continuous casting machine start-up time based on the start-up time, and forward-derives the continuous casting machine shutdown time based on the continuous casting machine start-up time, pouring speed and optimized cutting model, so as to realize the close connection scheduling plan of the electric furnace and the continuous casting machine.

[0074] Electric furnace timing error module: Connect to the continuous casting machine, receive the start-up and shutdown information of the continuous casting machine, judge the timing error information and output it to the production plan module. The electric furnace timing error module is connected to the sensor and the continuous casting machine. The sensor is used to detect the signal of the ladle rotation output in place. The continuous casting machine inputs the start-up and shutdown information into the electric furnace timing error module. The specific rules for the electric furnace timing error judgment are as follows: The start-up rule automatically determines the start-up based on the signal of the ladle rotation in place and the casting speed of the continuous casting machine. ① The four casting strands of the continuous casting machine record the running status of the first start-up as the running status of the whole machine. ② If the other three strands start up successively within half an hour, the non-start-up time of the other three strands will be ignored. If there is a non-started casting strand within half an hour, record the strand as a timing error status, and the timing error time is half an hour plus the subsequent time until start-up. ③ During the process, if there is a shutdown, record the running status of the casting sequence normally. ④ The shutdown record of the last strand is the shutdown time of the whole machine. ⑤ Judge the time interval between the intermediate shutdown strand and the shutdown of the last strand. Ignore the timing error time within one hour and record the timing error time if it exceeds one hour. Output the timing error information to the production plan module. The timing error information indicates that the plan of the scheduling order module has not been completed. The timing error information is used as a kind of electric furnace status information, affecting the calculation of the next furnace in the molten iron demand prediction adjustment rule of the molten iron demand prediction module. The timing error information is used as a kind of production interval time in the acquisition system, affecting the calculation of the next furnace in the start-up and shutdown time units of the scheduling order module, so as to guide the close connection scheduling plan of the electric furnace and the continuous casting machine, and to feed back abnormal information and process abnormal handling in real time.

[0075] The production plan module is used to receive the information from the molten iron demand prediction module, the scheduling order module, and the electric furnace timing error module, and generate a production plan; the production plan includes the weight of molten steel required for each furnace and the sequential time of molten steel demand in the molten iron demand prediction module, the connection result of the steel grades before and after adjacent casting sequences in the adjacent casting sequence composition control standard unit, the cutting result of each fixed length and the optimization cutting result of the tail billet for each strand in the fixed length quantity automatic matching unit, the required steel grade types and the waste steel type combination plan in the waste steel type demand unit, the required alloy type push plan in the alloy type push unit, the molten iron residue utilization result in the molten iron residue control unit, the molten iron residue utilization result in the surplus steel utilization unit, the detection result in the technical solution requirement unit, the ladle repair result in the ladle age requirement unit, the electric furnace start-up time and shutdown time in the start-up and shutdown time unit, the continuous casting machine start-up time and shutdown time in the start-up and shutdown time unit, and the timing error information of the electric furnace timing error module, so as to achieve scheduling quality control.

[0076] The database is used to store the steelmaking quality control data related to the steelmaking plan scheduling parameters of the steelmaking plan module, and is regularly maintained and updated through the database to ensure scheduling quality control.

[0077] In summary, through the logical operations of the steelmaking plan scheduling parameters of the steelmaking plan module, the steelmaking quality control database related to the steelmaking plan scheduling parameters of the steelmaking plan module, the hot metal demand forecasting module, and the dispatch order module, and feeding back the dispatch order module based on the on-site working conditions, the production plan is generated from the logical operation results and the output of the electric furnace time error module. It has the advantages of strong logic, high plan fulfillment rate, close connection between steelmaking scheduling quality control and production operations, and dynamic response for error prevention. It can accurately realize the conversion and transfer between steelmaking scheduling quality control, steelmaking plan and production plan, and the on-site operation results are excellent.

[0078] It should be understood that although this specification is described according to each embodiment, not every embodiment only contains an independent technical solution. This narrative way of the specification is only for clarity. Those skilled in the art should regard the specification as a whole, and the technical solutions in each embodiment can also be appropriately combined to form other embodiments that can be understood by those skilled in the art.

[0079] The series of detailed descriptions listed above are only specific descriptions of the feasible embodiments of the present invention, and they are not intended to limit the protection scope of the present invention. Any equivalent embodiments or changes made without departing from the technical spirit of the present invention should be included in the protection scope of the present invention.

Claims

1. A steelmaking scheduling quality control system, characterized in that: It includes steelmaking planning module, molten iron demand forecasting module, scheduling module, electric furnace delay module, production planning module and database; The steelmaking plan module is used to input steelmaking plan production parameters; the steelmaking plan production parameters of the steelmaking plan module include steelmaking brand, number of scheduled furnaces, furnace start time, sequential steel grade composition information, steel grade, technical agreement, section, product design specification standard, molten iron composition requirements, and molten steel requirement standards; The molten iron demand forecasting module is used to receive steelmaking and tapping information, compensate the steelmaking plan scheduling parameters of the steelmaking plan module and the database logical operation, and output the molten steel demand of each furnace to the production plan module; the molten iron demand forecasting module includes a steel grade smelting static table rule and a molten iron forecast adjustment rule, the steel grade smelting static table rule is used to output the weight of each furnace molten steel demand and the molten steel demand sequence time based on the electric furnace status information of the electric furnace, the steelmaking plan scheduling parameters of the scheduling unit module and the steel grade smelting static table logical operation, the molten iron forecast adjustment rule is used to compensate the next furnace molten steel demand sequence time according to the steel grade smelting static table rule based on the current furnace steelmaking and tapping information of the electric furnace; The scheduling module is used to output scheduling notifications to the production planning module based on the steelmaking plan parameters and database logic operations of the steelmaking plan module. The scheduling module includes adjacent pouring composition control standard unit, fixed length quantity automatic matching unit, molten iron and scrap type demand unit, alloy type push unit, molten iron residue control unit, surplus steel utilization unit, technical solution requirement unit, ladle age requirement unit, furnace start and stop time unit, and start and stop time unit. The adjacent pouring composition control standard unit includes static table calculation rules, which are used to determine the connection results of steel grades before and after adjacent pouring by comparing the difference in steel grade composition information within multiple sequences and scheduled furnaces of steelmaking plan production parameters with the post-static table. The automatic matching unit for the fixed length quantity includes an optimization cutting model. The optimization cutting model predicts the results of the fixed length cutting of each stream and the optimized cutting of the tail billet based on the logical operation of the production scheduling parameters of the steelmaking plan module and the quantity static table in the database with the maximum molten steel yield as the goal; the molten iron and scrap steel type demand unit is used to match the steel type solution library in the database according to the steelmaking plan production scheduling parameters of the steelmaking plan module, and obtain the required steel type and matching scrap steel type solution; the alloy type push unit is used to match the alloy solution library in the database according to the steelmaking plan production scheduling parameters of the steelmaking plan module to obtain the required alloy type push solution; the molten iron residue control unit is connected to the molten iron residue detector and receives the residual composition information of the current furnace molten iron. The molten iron residue control unit is used to compare the molten iron residue utilization result based on the molten steel requirement of the steelmaking plan production scheduling parameters of the steelmaking plan module and the molten iron residue control standard in the database; the excess steel utilization unit is connected to the excess steel detector and receives excess steel information. The excess steel utilization unit is used to judge the excess steel utilization result based on the molten steel requirement standard of the steelmaking plan production scheduling parameters of the steelmaking plan module and the excess steel detection result and the excess steel utilization static table in the database; The technical solution requires the unit to connect to verification equipment detectors and product performance detectors, receive test results, and output the production plan module; The electric furnace timing delay module is used to receive the continuous casting machine start-up and shutdown information, judge the timing delay information and output it to the production planning module; The production planning module is used to receive information from the molten iron demand forecasting module, the scheduling module, and the electric furnace delay module, and generate a production plan; The database is used to store steelmaking quality control data related to the steelmaking planning and production scheduling parameters of the steelmaking planning module.

2. A steelmaking scheduling quality control system according to claim 1, characterized in that: The molten iron demand prediction module is connected to the electric furnace to receive the electric furnace status information, and the molten iron demand prediction module is connected to the steelmaking and steel tapping end detector to receive the steelmaking and steel tapping information. The database includes a static table of steel grade smelting. The static table of steel grade smelting is used to store the molten steel demand weight and molten steel demand time of each furnace based on the electric furnace status, the number of scheduled furnaces and the furnace opening time.

3. A steelmaking scheduling quality control system according to claim 1, characterized in that: The database includes a post-static table, which is used to store the internal control range of each element in the steel composition and the internal control range of each element difference.

4. A steelmaking scheduling quality control system according to claim 1, characterized in that: In the static table calculation rules, each element of the n-order steel grade composition takes the maximum value of each element within the internal control range, and each element of the n-1 to n-6 order steel grade composition takes the minimum value of each element within the internal control range. When comparing one by one, compare the n-order and n-1 order steel grade compositions, if the n-1 order has a production furnace number less than 6, compare the n-2 order steel grade compositions, if the n-1 to n-2 order cumulative production furnace number less than 6, compare the n-3 order steel grade compositions, if the n-1 to n-3 order cumulative production furnace number less than 6, compare the n-4 order steel grade compositions, if the n-1 to n-4 order cumulative production furnace number less than 6, compare the n-5 order steel grade compositions, if the n-1 to n-5 order cumulative production furnace number less than 6, and compare the n-6 order steel grade compositions.

5. A steelmaking scheduling quality control system according to claim 1, characterized in that: The database includes a static quantity table, which is used to store the corresponding mid-ladle surplus steel quantity of steel types and technical agreements, the corresponding bulk steel quantity of steel types, technical agreements and sections, and the head cutting quantity, tail cutting quantity and refined steel liquid quantity.

6. A steelmaking scheduling quality control system according to claim 1, characterized in that: The database includes a steel grade solution library and an alloy solution library. The steel grade solution library is used to store the required steel grades and matching scrap steel types corresponding to the product design specifications and molten iron composition requirements. The alloy solution library is used to store the optimal alloy types and optimal solutions for the alloy components corresponding to the molten iron composition requirements.

7. A steelmaking scheduling quality control system according to claim 1, characterized in that: The database includes molten iron residue control standards and surplus steel utilization static table. The molten iron residue control standards are used to store the quality requirements of the molten iron residual components for the molten steel in the furnace. The surplus steel utilization static table is used to store the surplus steel utilization standards corresponding to the molten steel requirement standards.

8. A steelmaking scheduling quality control system according to claim 1, characterized in that: The database includes a static table of ladle age requirements, which includes ladle age data corresponding to the furnaces. The ladle age requirement unit is used to determine the warranty result based on the cumulative matching of the number of scheduled furnaces in the scheduling module and the static table of ladle age requirements in the database.

9. A steelmaking scheduling quality control system according to claim 1, characterized in that: The furnace start-up and shutdown time unit and the machine start-up and shutdown time unit are connected to the acquisition system. The acquisition system is used to collect the molten iron supply time, equipment operation time and production interval time. The furnace start-up and shutdown time unit is used to reversely deduce the furnace start-up time based on the acquisition system, and forwardly deduce the furnace shutdown time based on the furnace start-up time. The start-up and shutdown time unit is used to reversely deduce the machine start-up time based on the acquisition system and the furnace start-up time, and forwardly deduce the shutdown time based on the start-up time.

10. A steelmaking scheduling quality control method, characterized in that: Based on the steelmaking scheduling quality control system described in any one of claims 1 to 9, the method is: inputting steelmaking plan production parameters through the steelmaking plan module, performing logical operations on the steelmaking quality control database related to the steelmaking plan production parameters of the steelmaking plan module, the molten iron demand forecast module, and the scheduling single module, and generating a production plan with the logical operation result and the output of the electric furnace time delay module.

Images