阅读说明：本技术 一种短流程产线在线反馈控制方法、装置及电子设备 (Online feedback control method and device for short-process production line and electronic equipment ) 是由 张超 王成 谭佳梅 刘义滔 于 2021-06-23 设计创作，主要内容包括：一种短流程产线在线反馈控制方法、装置及电子设备,所述方法包括步骤：获取短流程产线历史数据；根据所述短流程产线历史数据建立短流程产线数据库；细化制造系统冶金规范；获取短流程产线的新产品开发数据；根据所述短流程产线数据库和所述新产品开发数据对所述短流程产线进行在线反馈控制。本申请提供的一种短流程产线在线反馈控制方法、装置及电子设备以近10年短流程产线的品种成分、工艺和性能等实绩数据为基础,结合制造系统(整体产销系统ERP)、L2等实现过程工艺数据的实时调取、异常情况的提醒和报警,简单易操作,成本低廉。(A short-process production line on-line feedback control method, a device and an electronic device are provided, wherein the method comprises the following steps: acquiring historical data of a short-flow production line; establishing a short-flow production line database according to the short-flow production line historical data; refining the metallurgical specification of a manufacturing system; acquiring new product development data of a short-flow production line; and performing online feedback control on the short-flow production line according to the database of the short-flow production line and the new product development data. The short-process production line online feedback control method, the short-process production line online feedback control device and the electronic equipment are based on actual performance data such as variety components, processes and performances of a short-process production line in nearly 10 years, and are combined with a manufacturing system (an integral production and marketing system ERP), an L2 and the like to achieve real-time calling of process data and reminding and alarming of abnormal conditions, and the short-process production line online feedback control method, the short-process production line online feedback control device and the electronic equipment are simple and easy to operate and low in cost.)

1. An online feedback control method for a short-process production line is characterized by comprising the following steps:

acquiring historical data of a short-flow production line;

establishing a short-flow production line database according to the short-flow production line historical data;

refining the metallurgical specification of a manufacturing system;

acquiring new product development data of a short-flow production line;

and performing online feedback control on the short-flow production line according to the database of the short-flow production line and the new product development data.

2. The short-process production line online feedback control method according to claim 1, wherein the step of establishing a short-process production line database according to the short-process production line historical data comprises the steps of:

obtaining historical production steel grade of the short-process production line;

acquiring the corresponding historical specification of the historical production steel grade;

obtaining components of different steel types and different specifications;

acquiring process designs of different steel types and different specifications;

acquiring performance targets of different steel types and different specifications;

acquiring performance ranges of different specifications of different steel types;

creating a storage database;

correspondingly storing the historical production steel grade, the historical specification and the corresponding components thereof, the process design, the performance target and the performance range to a first area in the storage database.

3. The short-process production line online feedback control method according to claim 2, wherein the establishing of the short-process production line database according to the short-process production line historical data further comprises the steps of:

acquiring the historical specification corresponding to the historical production steel grade;

obtaining components corresponding to the historical production steel grade;

obtaining a rolling and cooling control process corresponding to the historical production steel grade;

acquiring the structure condition corresponding to the historical production steel grade;

acquiring the performance condition corresponding to the historical production steel grade;

and correspondingly storing the historical production steel grade and the corresponding historical specification, the components, the controlled rolling and controlled cooling process, the structure condition and the performance condition of the historical production steel grade to a second area in the storage database.

4. The short-process production line online feedback control method according to claim 2, wherein the establishing of the short-process production line database according to the short-process production line historical data further comprises the steps of:

obtaining key components corresponding to the historical production steel grade;

acquiring process control points corresponding to the historical production steel grades;

and correspondingly storing the historical production steel grade, the key components corresponding to the historical production steel grade and the process control points to a third area in the storage database.

5. The short-process production line online feedback control method according to claim 2, wherein the establishing of the short-process production line database according to the short-process production line historical data further comprises the steps of:

acquiring key process points corresponding to the historical production steel grade;

obtaining control models of different key process points of different steel types to the product performance;

acquiring positive and negative correlation of the process parameters to the intensity in the control model;

acquiring positive and negative relativity of process parameters to elongation in the control model;

obtaining an influence index of the process parameters in the control model on the performance;

and correspondingly storing the historical production steel grade, the corresponding key process points and the control model to a fourth area in the storage database.

6. The short flow in-line feedback control method of claim 1, wherein refining the manufacturing system metallurgical specification comprises the steps of:

determining the range of refined components of different varieties;

determining the component ranges of the performance sensitive elements of different varieties;

determining the releasing ranges of different varieties;

determining the special mining ranges of different varieties.

7. The short-process production line online feedback control method according to claim 1, wherein the performing online feedback control on the short-process production line according to the short-process production line database and the new product development data comprises the steps of:

acquiring actual casting blank components on the short-flow production line;

acquiring the performance of the steel grade on the short-flow production line;

acquiring organization requirements on the short-flow production line;

acquiring a control model corresponding to a key process point in the database of the short-flow production line;

and adjusting the on-site rolling and cooling control process on the short-flow production line in real time according to the control model.

8. The utility model provides an online feedback control device of short process production line which characterized in that, the device includes:

the historical data acquisition module is used for acquiring historical data of the short-flow production line;

the database establishing module is used for establishing a short-flow production line database according to the historical data of the short-flow production line;

the standard refining module is used for refining the metallurgical standard of the manufacturing system;

the development data acquisition module is used for acquiring new product development data of the short-flow production line;

and the online feedback control module is used for performing online feedback control on the short-process production line according to the short-process production line database and the new product development data.

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the short-flow in-line feedback control method of any of claims 1-7.

10. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the short process line on-line feedback control method of any one of claims 1-7.

Technical Field

The invention belongs to the technical field of hot-rolled strip steel structure performance prediction, and particularly relates to a short-process production line online feedback control method and device and electronic equipment.

Background

The hot-rolled strip steel structure performance forecasting technology is popular in the 70 th 20 th century, has very wide application prospect with the development of steel enterprises, and is valued by a plurality of steel enterprises at home and abroad. The fundamental principle is that various physical metallurgical phenomena in the hot rolling production process are comprehensively and numerically simulated by utilizing a physical metallurgical model, a computer and an informatization technology, and the structure evolution process of the hot rolling production process is quantitatively described, so that the microstructure and the mechanical property of a rolled product are predicted.

China starts late in the development of hot rolling organization performance simulation system software, and although the research on the aspect is carried out by a plurality of units such as a steel research institute, a northeast university, a Beijing technology university and a Chinese academy of sciences for a long time, the research is limited to the problems of lack of systematicness, low capital investment and the like, and no mature commercial comprehensive simulation software is provided. The research on the subject of 'steel material continuous casting-hot rolling process organization performance forecasting and monitoring system' is commonly undertaken by a plurality of units such as a steel research institute, a northeast university, a Beijing university of science and technology, a Chinese institute of science and technology, Bao steel, saddle steel and the like, and a set of hot rolling organization performance forecasting system software named Q-HSM with off-line and on-line functions is successfully developed. A set of CSP hot rolling structure performance prediction software named Q-CSP is developed by cooperation of a steel research institute and a Zhujiang steel factory, and trial and preliminary verification are carried out by combining with a CSP production line of the Zhujiang steel factory. Hot rolled strip steel structure performance simulation software named ROLLAN was developed by the metal institute of the Chinese academy of sciences and was verified in combination with a hot rolled production line of saddle steel. The northeast university also develops a corresponding tissue performance prediction model by combining the high-speed wire production line of the Bao steel and the medium plate production line of the first steel.

The hot rolling structure performance forecasting system generally has two options, namely, a 'mechanism model', namely, a structure evolution model is established by describing the process of the whole process and the structure evolution under specific components based on the physical metallurgy principle, and then a relation model between the microstructure and the mechanical performance of a hot rolling finished product is established; the other is a 'control model', namely, the correlation and causal relationship among the components, the process and the organization and the mechanical property are directly established (the intermediate variable can also be considered) through a numerical statistic means. Generally, the 'mechanism model' is considered to have the characteristics of inherent 'regularity' of a prediction result, wide application range and strong transportability; the control model has the characteristics of high accuracy in prediction, relatively narrow application range and poor transportability.

The main application and significance of the technology are as follows: (1) the quality inspection quantity of the product is reduced, the production and delivery periods are shortened, and the production cost is reduced while the productivity is improved; (2) the product performance is improved by optimizing the prior production process without improving the variety grade; (3) developing a new process; (4) developing a new variety; (5) according to the performance requirements of the product, an economical and reasonable process is formulated; (6) guiding the modification and design of production equipment; (7) improving the stability of the product quality and the like. After more than 30 years of exploration, the hot rolling tissue performance forecasting technology is mature day by day, the forecasting range is expanded, the forecasting precision is gradually improved, and some practical applications are obtained.

In the whole view, although the organizational performance prediction technology is only in the "infancy" stage of development, the organizational performance prediction technology of the metallurgical process has become the leading-edge technology of the metallurgical industry in the 2I century and is one of the core technologies of the metallurgical enterprises. From the technical development direction, the main development directions at present and in a later period of time include: (1) closely combining the tissue performance prediction technology with the microalloying technology and the controlled rolling and controlled cooling technology to obtain rice, deeply exploring the quantitative influence law of the microalloying technology and the controlled rolling and controlled cooling technology on the tissue and performance optimization of steel products, and comprehensively evaluating the action and effect of each strengthening mechanism in actual production application; (2) continuously improving the functions of an offline hot continuous rolling electronic laboratory, combining the technology with a large-scale customization technology and an Enterprise Resource Planning (ERP) technology, and optimally realizing high-efficiency, informatization, automation, flexibility, customization and integrated production of multi-steel multi-specification hot continuous rolling production; (3) the online application model of the structure performance forecasting system is maintained accurately, simplified and refined, a process optimization technology for reversely optimizing process parameters according to steel smelting components and performance requirements in a hot rolling process is researched and developed, the structure performance forecasting technology is combined with a real-time detection system and a control system of a rolling mill, online real-time simulation and control are realized, and the application level of the technology is improved. At present, the organization performance forecasting system depends on more work of schools and scientific research institutions, and has less practical application.

Due to the characteristic of rigid connection of continuous casting and steel rolling of a short-flow production line, when the component control of molten steel has deviation, production interruption can be caused if casting is interrupted, the production rhythm is disturbed, and subsequent molten steel needs to be reheated and processed, so that the quality of the molten steel is deteriorated; if the casting is forced, the uniqueness of the manufacturing system process may lead to performance misjudgment and quality loss.

Disclosure of Invention

In view of the above problems, the present invention provides a short-flow online feedback control method, device and electronic device that overcome the above problems or at least partially solve the above problems.

In order to solve the technical problem, the invention provides an online feedback control method for a short-process production line, which comprises the following steps:

acquiring historical data of a short-flow production line;

establishing a short-flow production line database according to the short-flow production line historical data;

refining the metallurgical specification of a manufacturing system;

acquiring new product development data of a short-flow production line;

and performing online feedback control on the short-flow production line according to the database of the short-flow production line and the new product development data.

Preferably, the step of establishing a short-process production line database according to the short-process production line historical data includes the steps of:

obtaining historical production steel grade of the short-process production line;

acquiring the corresponding historical specification of the historical production steel grade;

obtaining components of different steel types and different specifications;

acquiring process designs of different steel types and different specifications;

acquiring performance targets of different steel types and different specifications;

acquiring performance ranges of different specifications of different steel types;

creating a storage database;

the history is used for producing steel grade and the history

The specification and its corresponding composition, process design, performance goal and performance range are stored in a first region of the storage database.

Preferably, the step of establishing a short-process production line database according to the short-process production line historical data further comprises the steps of:

acquiring the historical specification corresponding to the historical production steel grade;

obtaining components corresponding to the historical production steel grade;

obtaining a rolling and cooling control process corresponding to the historical production steel grade;

acquiring the structure condition corresponding to the historical production steel grade;

acquiring the performance condition corresponding to the historical production steel grade;

and correspondingly storing the historical production steel grade and the corresponding historical specification, the components, the controlled rolling and controlled cooling process, the structure condition and the performance condition of the historical production steel grade to a second area in the storage database.

Preferably, the step of establishing a short-process production line database according to the short-process production line historical data further comprises the steps of:

obtaining key components corresponding to the historical production steel grade;

acquiring process control points corresponding to the historical production steel grades;

and correspondingly storing the historical production steel grade, the key components corresponding to the historical production steel grade and the process control points to a third area in the storage database.

Preferably, the step of establishing a short-process production line database according to the short-process production line historical data further comprises the steps of:

acquiring key process points corresponding to the historical production steel grade;

obtaining control models of different key process points of different steel types to the product performance;

acquiring positive and negative correlation of the process parameters to the intensity in the control model;

acquiring positive and negative relativity of process parameters to elongation in the control model;

obtaining an influence index of the process parameters in the control model on the performance;

and correspondingly storing the historical production steel grade, the corresponding key process points and the control model to a fourth area in the storage database.

Preferably, the refining manufacturing system metallurgical specification comprises the steps of:

determining the range of refined components of different varieties;

determining the component ranges of the performance sensitive elements of different varieties;

determining the releasing ranges of different varieties;

determining the special mining ranges of different varieties.

Preferably, the online feedback control of the short-process production line according to the database of the short-process production line and the new product development data includes the steps of:

acquiring actual casting blank components on the short-flow production line;

acquiring the performance of the steel grade on the short-flow production line;

acquiring organization requirements on the short-flow production line;

acquiring a control model corresponding to a key process point in the database of the short-flow production line;

and adjusting the on-site rolling and cooling control process on the short-flow production line in real time according to the control model.

The invention also provides an online feedback control device for the short-process production line, which comprises the following components:

the historical data acquisition module is used for acquiring historical data of the short-flow production line;

the database establishing module is used for establishing a short-flow production line database according to the historical data of the short-flow production line;

the standard refining module is used for refining the metallurgical standard of the manufacturing system;

the development data acquisition module is used for acquiring new product development data of the short-flow production line;

and the online feedback control module is used for performing online feedback control on the short-process production line according to the short-process production line database and the new product development data.

The present invention also provides an electronic device, including:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any one of the short-flow in-line feedback control methods described above.

The invention also provides a non-transitory computer readable storage medium storing computer instructions for causing a computer to execute any one of the short-flow production line online feedback control methods described above.

One or more technical solutions in the embodiments of the present invention have at least the following technical effects or advantages: the short-process production line online feedback control method, the short-process production line online feedback control device and the electronic equipment have the following beneficial effects:

(1) the method is based on actual performance data such as variety components, processes and performances of a short-flow production line in the last 10 years, realizes real-time calling of process data and reminding and alarming of abnormal conditions by combining a manufacturing system (an integral production and marketing system ERP), L2 and the like, and is simple and easy to operate and low in cost;

(2) data analysis software such as SASS and JMP is utilized, professional analysis and judgment of variety developers are combined, the data are classified, sorted and analyzed, and the related relation and the causal relation among the components, the process, the structure and the performance of different series of steel types (including common C-Mn steel, Ti-reinforced low alloy steel, Nb + Ti composite reinforced low alloy steel, low alloy steel containing Cu, Cr low alloy steel, Nb + Ti + Mo + Cu and the like) are established statistically;

(3) by utilizing the process data system and the performance statistical model, a process optimization technology for reversely optimizing process parameters according to steel smelting components and performance requirements in the hot rolling process is developed, casting interruption or performance problem judgment caused by molten steel component control deviation (mainly including alloy elements and occasionally including S, N residual elements) is reduced as much as possible, the production cost is saved, the quality loss is reduced, and the production line efficiency is improved;

(4) when a new variety of a short-process production line is developed, economic and reasonable components and processes are formulated according to the performance requirements of the product, so that the trial-and-error cost is reduced;

(5) depending on the independent development and implementation of the enterprise, the production data can be called in real time for updating and optimizing, the cost is low, the feedback is timely, the production organization is smooth, and the comprehensive performance of the product is excellent.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.

FIG. 1 is a schematic flow chart of an online feedback control method for a short-flow production line according to an embodiment of the present invention;

FIG. 2 is a schematic structural diagram of an on-line feedback control device for a short-flow production line according to an embodiment of the present invention;

fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention;

fig. 4 is a schematic structural diagram of a non-transitory computer-readable storage medium according to an embodiment of the present invention.

Detailed Description

The present invention will be described in detail below with reference to specific embodiments and examples, and the advantages and various effects of the present invention will be more clearly apparent therefrom. It will be understood by those skilled in the art that these specific embodiments and examples are for the purpose of illustrating the invention and are not to be construed as limiting the invention.

Throughout the specification, unless otherwise specifically noted, terms used herein should be understood as having meanings as commonly used in the art. Accordingly, unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. If there is a conflict, the present specification will control.

Unless otherwise specifically stated, various raw materials, reagents, instruments, equipment and the like used in the present invention are commercially available or can be prepared by existing methods.

Referring to fig. 1, in an embodiment of the present application, the present invention provides an online feedback control method for a short-process production line, where the method includes:

s1: acquiring historical data of a short-flow production line;

in the embodiment of the application, the short-process production line historical data comprises data such as components, processes, structure performance and the like of the steel grades produced in the past, and can be acquired through various sensors or storage devices.

S2: establishing a short-flow production line database according to the short-flow production line historical data;

in this embodiment of the present application, the step of establishing the short-process production line database according to the short-process production line historical data in step S2 includes the steps of:

obtaining historical production steel grade of the short-process production line;

acquiring the corresponding historical specification of the historical production steel grade;

obtaining components of different steel types and different specifications;

acquiring process designs of different steel types and different specifications;

acquiring performance targets of different steel types and different specifications;

acquiring performance ranges of different specifications of different steel types;

creating a storage database;

correspondingly storing the historical production steel grade, the historical specification and the corresponding components thereof, the process design, the performance target and the performance range to a first area in the storage database.

In this embodiment, the short process production line history data may include: different varieties of different specifications of components, process designs, performance targets and ranges in the historical production steel grade can be created after the historical data are obtained, and the historical production steel grade, the historical specification and the components, the process designs, the performance targets and the performance ranges corresponding to the historical production steel grade can be correspondingly stored in a first area in the storage database.

In this embodiment of the present application, the step of establishing the short-process production line database according to the short-process production line historical data in step S2 further includes the steps of:

acquiring the historical specification corresponding to the historical production steel grade;

obtaining components corresponding to the historical production steel grade;

obtaining a rolling and cooling control process corresponding to the historical production steel grade;

acquiring the structure condition corresponding to the historical production steel grade;

acquiring the performance condition corresponding to the historical production steel grade;

and correspondingly storing the historical production steel grade and the corresponding historical specification, the components, the controlled rolling and controlled cooling process, the structure condition and the performance condition of the historical production steel grade to a second area in the storage database.

In this embodiment, the short process production line history data may include: specifications (blank thickness, width and thickness), components (C, Si, Mn, P, S, Ti, Nb, N and the like), rolling and cooling control process (tapping temperature, furnace time and FT7, CT and the like), structure and performance conditions of different varieties, so that after the historical data are obtained, the historical production steel type and the corresponding historical specifications, components, rolling and cooling control process, structure conditions and performance conditions of the historical production steel type can be correspondingly stored in a second area in the storage database in the previous step.

In this embodiment of the present application, the step of establishing the short-process production line database according to the short-process production line historical data in step S2 further includes the steps of:

obtaining key components corresponding to the historical production steel grade;

acquiring process control points corresponding to the historical production steel grades;

and correspondingly storing the historical production steel grade, the key components corresponding to the historical production steel grade and the process control points to a third area in the storage database.

In this embodiment, the short process production line history data may include: therefore, after the historical data are obtained, the historical production steel grade, the key components corresponding to the historical production steel grade and the process control points can be correspondingly stored in a third area in the storage database in the previous step.

In the embodiment of the application, the key process control points of the common Q235B are thickness, C, Mn, Si, tapping temperature, FT7, laminar cooling mode, CT and the like; the key process control points of the Ti-containing high-strength steel WYS600 are slab thickness, rolling thickness, width, C, Mn, Si, Ti, S, N (effective Ti range Ti effective-Ti-3.4 × N-3 × S), tapping temperature, in-furnace time, FT7, laminar cooling, CT, and the like. The key process control points of the Nb and Ti composite high-strength and high-toughness structural steel WYS700 and other steel types comprise slab thickness, rolling thickness, components, tapping temperature, FT7, layer cooling mode and CT, and also comprise layer cooling middle section temperature control and air cooling time.

In this embodiment of the present application, the step of establishing the short-process production line database according to the short-process production line historical data in step S2 further includes the steps of:

acquiring key process points corresponding to the historical production steel grade;

obtaining control models of different key process points of different steel types to the product performance;

acquiring positive and negative correlation of the process parameters to the intensity in the control model;

acquiring positive and negative relativity of process parameters to elongation in the control model;

obtaining an influence index of the process parameters in the control model on the performance;

and correspondingly storing the historical production steel grade, the corresponding key process points and the control model to a fourth area in the storage database.

In this embodiment, the short process production line history data may include: the statistical model mainly comprises positive and negative correlations of process parameters to strength and elongation and influence indexes of the process parameters to the performance, so that after the historical data are obtained, the historical production steel grade, the corresponding key process points and the control model can be correspondingly stored in a fourth area in the storage database in the previous step.

S3: refining the metallurgical specification of a manufacturing system;

in an embodiment of the present application, the refining of the manufacturing system metallurgical specification in step S3 includes the steps of:

determining the range of refined components of different varieties;

determining the component ranges of the performance sensitive elements of different varieties;

determining the releasing ranges of different varieties;

determining the special mining ranges of different varieties.

In the embodiment of the application, when the metallurgical specification of the manufacturing system is refined, specifically, the refined component range, especially the performance sensitive elements, and the release and special mining ranges are determined for different varieties. Meanwhile, the partial range is accepted in the internal program of the production plant, and different colors are marked. Due to the process uniqueness of the manufacturing system and the requirement of data transmission, a system, called a second-level half system for short, is newly developed between a second level and a third level in a factory.

S4: acquiring new product development data of a short-flow production line;

in the embodiment of the application, when new product development data of a short-flow production line is acquired, specifically, clear performance requirements during new product development need to be acquired, and corresponding components and process design is performed by referring to the variety requirements with equivalent production performance or equivalent strength level and matching with the process characteristics of the production line.

S5: and performing online feedback control on the short-flow production line according to the database of the short-flow production line and the new product development data.

In this embodiment of the present application, the performing, in step S5, on-line feedback control on the short-flow production line according to the short-flow production line database and the new product development data includes:

acquiring actual casting blank components on the short-flow production line;

acquiring the performance of the steel grade on the short-flow production line;

acquiring organization requirements on the short-flow production line;

acquiring a control model corresponding to a key process point in the database of the short-flow production line;

and adjusting the on-site rolling and cooling control process on the short-flow production line in real time according to the control model.

In the embodiment of the application, when the short-process production line is subjected to online feedback control according to the database of the short-process production line and the new product development data, specifically, according to the casting blank components, the performance and the structure requirements of steel grades during on-site actual production, a key process point control model is combined, and an on-site controlled rolling and cooling process is adjusted in real time to obtain the product performance meeting the requirements.

The present application is described in detail below with specific examples.

If the production Q235B is a low-carbon system, the component release range is as follows: 0.04-0.065 of C, 0.35-0.50 of Mn, 0.15-0.30 of Si, and the special ranges are C: the molten steel composition results of 0.035-0.065%, Mn 0.3-0.55%, Si 0.10-0.30% include: si and Mn are out of the release range, and in the lower limit of the special mining range, Si is 0.11%, Mn is 0.34%, and the second-level half system in the factory indicates that: si and Mn are shown in purple below the lower limit of release, suggesting prompt disposal. Meanwhile, the steel rolling process is reminded to be adjusted in the area of the rolling line, and FT7 is recommended to be reduced by 20 ℃ for process correction. After the rolling line technician confirms, the operator is required to perform the proposed process.

The method comprises the following specific steps: the method comprises the steps of firstly, taking chemical components, preset rolling process parameters and specification parameters before rolling strip steel, then calculating the content of a precipitated alloy compound according to the preset coiling temperature in the preset rolling process parameters, then bringing all data into a hot rolling strip steel mechanical property prediction model, predicting the mechanical property of the rolled strip steel by using the model, enabling the predicted value of the strip steel mechanical property to meet the mechanical property target value constraint by adjusting the rolling process parameters, and then rolling according to the adjusted rolling process parameters.

When the method is used for control, because a small deviation may exist between a model predicted value and an actual value of mechanical property, when the predicted value of mechanical property is used for judging whether the property is qualified or not, a certain threshold value is added on the basis of a target value, the threshold value is subtracted from the upper limit of the target value, and the threshold value is added to the lower limit of the target value so as to ensure that the final property meets the requirement.

The mechanical property of the selected strip steel is one or more of tensile strength, yield strength or elongation percentage; the chemical components comprise manganese content of the strip steel, phosphorus content of the strip steel, silicon content of the strip steel and sulfur content of the strip steel; the rolling target parameters comprise the final rolling thickness, the rough rolling reduction rate and the finish rolling reduction rate of the strip steel; the rolling parameters comprise tapping temperature, rough rolling outlet temperature, finish rolling inlet temperature, finish rolling outlet temperature and coiling temperature; the precipitation parameters comprise titanium carbide precipitation amount corresponding to coiling temperature, niobium carbide precipitation amount corresponding to coiling temperature, vanadium carbide precipitation amount corresponding to coiling temperature, titanium nitride precipitation amount corresponding to coiling temperature, niobium nitride precipitation amount corresponding to coiling temperature, vanadium nitride precipitation amount corresponding to coiling temperature, residual carbon content after precipitation and residual nitrogen content after precipitation.

The rolling parameter adjustment range is that the tapping temperature is 1100-1250 ℃, the finish rolling inlet temperature is 850-1100 ℃, the finish rolling outlet temperature is 560-900 ℃, and the coiling temperature is 500-700 ℃.

Referring to fig. 2, in the embodiment of the present application, the present invention further provides an online feedback control device for a short process production line, where the device includes:

a historical data acquisition module 10, configured to acquire historical data of a short-process production line;

a database establishing module 20, configured to establish a short-process production line database according to the short-process production line historical data;

a specification refining module 30 for refining the metallurgical specification of the manufacturing system;

a development data acquisition module 40 for acquiring new product development data of the short-flow production line;

and the online feedback control module 50 is used for performing online feedback control on the short-process production line according to the short-process production line database and the new product development data.

In an embodiment of the present application, the short-process production line online feedback control device provided in the present application may execute the above-mentioned short-process production line online feedback control method.

Referring to fig. 3, an embodiment of the present disclosure also provides an electronic device 100, including:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method for short-flow in-line feedback control in the above-described method embodiments.

The disclosed embodiments also provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the foregoing method embodiments.

The disclosed embodiments also provide a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the short-flow production line online feedback control method in the aforementioned method embodiments.

The short-process production line online feedback control method, the short-process production line online feedback control device and the electronic equipment have the following beneficial effects:

(1) the method is based on actual performance data such as variety components, processes and performances of a short-flow production line in the last 10 years, realizes real-time calling of process data and reminding and alarming of abnormal conditions by combining a manufacturing system (an integral production and marketing system ERP), L2 and the like, and is simple and easy to operate and low in cost;

(2) data analysis software such as SASS and JMP is utilized, professional analysis and judgment of variety developers are combined, the data are classified, sorted and analyzed, and the related relation and the causal relation among the components, the process, the structure and the performance of different series of steel types (including common C-Mn steel, Ti-reinforced low alloy steel, Nb + Ti composite reinforced low alloy steel, low alloy steel containing Cu, Cr low alloy steel, Nb + Ti + Mo + Cu and the like) are established statistically;

(3) by utilizing the process data system and the performance statistical model, a process optimization technology for reversely optimizing process parameters according to steel smelting components and performance requirements in the hot rolling process is developed, casting interruption or performance problem judgment caused by molten steel component control deviation (mainly including alloy elements and occasionally including S, N residual elements) is reduced as much as possible, the production cost is saved, the quality loss is reduced, and the production line efficiency is improved;

(4) when a new variety of a short-process production line is developed, economic and reasonable components and processes are formulated according to the performance requirements of the product, so that the trial-and-error cost is reduced;

(5) depending on the independent development and implementation of the enterprise, the production data can be called in real time for updating and optimizing, the cost is low, the feedback is timely, the production organization is smooth, and the comprehensive performance of the product is excellent.

Referring now to FIG. 3, a block diagram of an electronic device 100 suitable for use in implementing embodiments of the present disclosure is shown. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 3, the electronic device 100 may include a processing means (e.g., a central processing unit, a graphic processor, etc.) 101 that may perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM)102 or a program loaded from a storage means 108 into a Random Access Memory (RAM) 103. In the RAM 103, various programs and data necessary for the operation of the electronic apparatus 100 are also stored. The processing device 101, the ROM 102, and the RAM 103 are connected to each other via a bus 104. An input/output (I/0) interface 105 is also connected to bus 104.

Generally, the following devices may be connected to the I/0 interface 105: input devices 106 including, for example, a touch screen, touch pad, keyboard, mouse, image sensor, microphone, accelerometer, gyroscope, etc.; an output device 107 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 108 including, for example, magnetic tape, hard disk, etc.; and a communication device 109. The communication means 109 may allow the electronic device 100 to communicate wirelessly or by wire with other devices to exchange data. While the figures illustrate an electronic device 100 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication means 109, or installed from the storage means 108, or installed from the ROM 102. The computer program, when executed by the processing device 101, performs the above-described functions defined in the methods of the embodiments of the present disclosure.

Referring now to fig. 4, a schematic diagram of a computer readable storage medium suitable for implementing embodiments of the present disclosure is shown, the computer readable storage medium storing a computer program which, when executed by a processor, is capable of implementing the short-flow in-line feedback control method as described in any of the above.

It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.

The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring at least two internet protocol addresses; sending a node evaluation request comprising the at least two internet protocol addresses to node evaluation equipment, wherein the node evaluation equipment selects the internet protocol addresses from the at least two internet protocol addresses and returns the internet protocol addresses; receiving an internet protocol address returned by the node evaluation equipment; wherein the obtained internet protocol address indicates an edge node in the content distribution network.

Alternatively, the computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: receiving a node evaluation request comprising at least two internet protocol addresses; selecting an internet protocol address from the at least two internet protocol addresses; returning the selected internet protocol address; wherein the received internet protocol address indicates an edge node in the content distribution network.

Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of a unit does not in some cases constitute a limitation of the unit itself, for example, the first retrieving unit may also be described as a "unit for retrieving at least two internet protocol addresses".

It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof.

It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. The above description is merely exemplary of the present application and is presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

In short, the above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.