Finishing unit process automatic control method based on L2 process control system

Abstract

The invention discloses a finishing unit process automatic control method based on an L2 process control system, which comprises the following steps of: firstly, configuring a process parameter model table in the L2 process control system, and formulating a retrieval rule; after the steel coil reaches the feeding position of the finishing unit, the L3 production control system transmits steel coil information to the L2 process control system; after receiving the steel coil information, the L2 process control system finds out corresponding process parameters in the process parameter model table and issues the process parameters to the L1 basic control system, and the L1 basic control system carries out production according to the received process parameters; and after the steel coil is produced, the mode of the real-time process parameters during production of the steel coil is taken and uploaded to the L2 process control system, and the L2 process control system performs data updating on the process parameter model table in a self-learning mode. By adopting the scheme, the configuration of the process parameters is automatically retrieved and configured by the system, so that the process automatic control of the finishing process is realized, and the automatic production efficiency is improved.

Description

Technical Field

[0001] The present invention is mainly used in the technical field of hot rolling finishing area flattening and trimming production line, and specifically relates to a finishing unit process automatic control method based on an L2 process control system. Background Art

[0002] In steel production lines, the hierarchical structure of the control system is a key component, in which the L1 basic automation system, L2 process control system and L3 production control system each have different tasks. L1 is mainly responsible for the direct control of the underlying equipment, L2 is responsible for coordinating and managing multiple L1 devices, and L3 is responsible for the production planning and monitoring of the entire production line.

[0003] In the process of hot rolling finishing mill, the process parameters are usually set manually in the L1 basic control system L1, and these process parameters are based on the personal production experience of the operator. This leads to different quality levels produced by different operators on the same set of equipment; the overall product quality is closely related to the technical level of the operator.

[0004] At present, the traditional production method of manually setting parameters not only affects the quality of steel coils, but is also not conducive to automated production. Summary of the invention

[0005] The purpose of the present invention is to provide a finishing unit process automatic control method based on the L2 process control system, which realizes the process automatic control of the finishing process and improves production efficiency by pre-configuring the process parameter model table and then retrieving and configuring the corresponding process parameters according to the actual steel coil information.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a finishing unit process automatic control method based on L2 process control system, characterized in that it includes the following steps: S1: configuring a process parameter model table in L2 process control system and formulating retrieval rules; S2: after the steel coil arrives at the loading position of the finishing unit, the L3 production control system transmits the steel coil information to the L2 process control system; S3: after the L2 process control system receives the steel coil information, it searches for the corresponding process parameters in the process parameter model table according to the set retrieval rules; S4: sending the process parameters found in step S3 to the L1 basic control system, and the L1 basic control system produces according to the received process parameters; S5: after the steel coil is produced, the L1 basic control system takes the mode of the real-time process parameters of the steel coil during production and uploads them to the L2 process control system, and the L2 process control system performs weighted average on the real-time process parameters of the steel coil and the corresponding data in the original process parameter model table, obtains new process parameters and updates the data in the process parameter model table.

[0007] Furthermore, the process parameter model table is divided into two parts, one part is the index item, and the other part is the data item; wherein, the index item includes the thickness, width, and strength of the steel coil, and the data item is the required process parameters; each index information has and only has data in one data item corresponding to it.

[0008] Furthermore, the search elements of the search rule are the thickness, width, and strength of the steel coil, and the search priority is the thickness of the steel coil>strength>width; in the production process, steel coil A is assumed to be the currently produced steel coil, and steel coil B is assumed to be the next steel coil to enter production. During the search, when the thickness of steel coil A and steel coil B is inconsistent, the corresponding process parameters are obtained from the process parameter model table according to the thickness as the search element. When the thickness of steel coil A and steel coil B is consistent, the corresponding process parameters are obtained from the process parameter model table according to the strength as the search element. When the thickness and strength of steel coil A and steel coil B are consistent, the corresponding process parameters are obtained from the process parameter model table according to the width as the search element.

[0009] The beneficial effect of the present invention is that: by adopting the scheme of the present invention, the configuration of the process parameters is automatically retrieved and configured by the system, thereby avoiding quality problems caused by differences in technical levels during manual operation. In addition, by continuously feeding back the real-time process parameters of the steel coil to the L2 process control system, the process parameter model table is updated through the model self-learning method, the process parameters are continuously optimized, and the control accuracy is high. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] Figure 1 It is a schematic diagram of the method flow of the present invention.

[0011] Figure 2 This is a schematic diagram of the process parameter model table in the present invention. DETAILED DESCRIPTION

[0012] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0013] like Figure 1 As shown, the present invention provides a finishing unit process automatic control method based on the L2 process control system, which includes the following steps.

[0014] S1: Configure the process parameter model table in the L2 process control system and formulate retrieval rules.

[0015] S2: After the steel coil arrives at the loading position of the finishing unit, the L3 production control system transmits the steel coil information to the L2 process control system.

[0016] S3: After receiving the steel coil information, the L2 process control system searches for the corresponding process parameters in the process parameter model table according to the set search rules.

[0017] S4: Send the process parameters found in step S3 to the L1 basic control system, and the L1 basic control system performs production according to the received process parameters to achieve automatic control of the process.

[0018] S5: After the steel coil is produced, the L1 basic control system takes the mode of the real-time process data of the steel coil during production and uploads it to the L2 process control system. The L2 process control system performs a weighted average of the real-time process data of the steel coil and the corresponding data in the original process parameter model table, obtains new process parameters and updates the process parameter model table; making the data in the data item closer and closer to the process parameters used in actual production.

[0019] Specifically, the process parameter model table is divided into two parts, one is the index item and the other is the data item. The index item contains information such as steel coil specifications (thickness and width), strength, etc., and the data item contains the required process parameters. For example, in the index item, the thickness of the steel coil is set at an average interval of 0.3mm, so there are 38 data in the entire interval from 1.2mm to 12.7mm; the yield strength of the strip is set at an average interval of 150Mpa, so there are 6 data in the entire interval of 150~1000Mpa; the width of the steel coil is set at an average interval of 200mm, so there are 7 data in the entire interval from 700mm to 2100mm. Therefore, there are a total of 1596 data in the entire index item for retrieval, and each index information has and only has data in one data item corresponding to it.

[0020] In addition, the search elements of the search rule set in the present invention are the thickness, width and strength of the steel coil, and the search priority is the thickness of the steel coil>strength>width. That is, in the index item, thickness is the first search element, strength is the second search element, and width is the third search element.

[0021] In the production process, let coil A be the currently produced coil and coil B be the next coil to enter production. During the search, when the thickness of coil A and coil B are inconsistent, the corresponding process parameters are obtained from the process parameter model table according to the thickness as the search factor. When the thickness of coil A and coil B are consistent, the corresponding process parameters are obtained from the process parameter model table according to the strength as the search factor. When the thickness and strength of coil A and coil B are consistent, the corresponding process parameters are obtained from the process parameter model table according to the width as the search factor.

[0022] For example, when the thickness of steel coil A and steel coil B is inconsistent, they are searched directly by thickness; when the thickness of steel coil A and steel coil B is consistent, they are searched by strength; when the thickness and strength of steel coil A and steel coil B are consistent, they are searched by width.

[0023] When indexing, no matter searching by thickness, strength or width, when the retrieved data is exactly in the interval of the index item, for example, the retrieved thickness is 1.5mm, the data corresponding to the thickness of 1.5mm in the index item is directly taken; when the retrieved data is in the interval of the index item, for example, the retrieved thickness is 1.4mm, the two sets of data with the nearest upper limit of 1.5mm and lower limit of 1.2mm are taken, and then the average value is taken as the data of 1.4mm thickness.

[0024] The above are only preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A finishing unit process automatic control method based on L2 process control system, characterized in that The following steps are involved: S1: Configure the process parameter model table in the L2 process control system and formulate retrieval rules; S2: After the steel coil arrives at the loading position of the finishing unit, the L3 production control system transmits the steel coil information to the L2 process control system; S3: After receiving the steel coil information, the L2 process control system searches for the corresponding process parameters in the process parameter model table according to the set search rules; S4: Send the process parameters found in step S3 to the L1 basic control system, and the L1 basic control system performs production according to the received process parameters; S5: After the steel coil is produced, the L1 basic control system takes the mode of the real-time process data of the steel coil during production and uploads it to the L2 process control system. The L2 process control system performs weighted average of the real-time process data of the steel coil and the corresponding data in the original process parameter model table, obtains new process parameters and updates the data in the process parameter model table.

2. The automatic control method for the finishing unit process according to claim 1 is characterized in that: The process parameter model table is divided into two parts, one part is the index item and the other part is the data item; wherein, the index item includes the thickness, width and strength of the steel coil, and the data item includes the required process parameters; each index information has one and only one data item corresponding to it.

3. The automatic control method for the finishing unit process according to claim 2 is characterized in that: The search elements of the search rule are the thickness, width and strength of the steel coil, and the search priority is the thickness of the steel coil>strength>width; In the production process, let coil A be the currently produced coil and coil B be the next coil to enter production. When searching, if the thickness of coil A and coil B are inconsistent, the corresponding process parameters are obtained from the process parameter model table according to the thickness as the search factor. When the thickness of steel coil A and steel coil B is the same, the corresponding process parameters are obtained from the process parameter model table according to the strength as the search factor; When the thickness and strength of steel coil A and steel coil B are consistent, the corresponding process parameters are obtained from the process parameter model table based on the width as the search factor.

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