A Multi-machine Linkage Control Method for Modular Rolling Mills in a High-speed Bar Production Line

Abstract

The present invention relates to the technical field of bar rolling, and particularly relates to a multi-machine linkage control method for modular rolling mills in a high-speed bar production line; a learning model is established to obtain executable data record bars and warning record bars; according to the number of required modular rolling mills and the rolling speed of each required modular rolling mill, a real-time operation record bar is obtained; the real-time operation record bar is compared with the executable data record bar and the warning record bar to confirm whether multi-machine linkage of modular rolling mills can be carried out at the rolling speed of the real-time operation record bar. By judging whether multi-machine linkage of modular rolling mills can be carried out at the rolling speed of the real-time operation record bar according to the executable data record bar and the warning record bar, it is possible to confirm whether multi-machine linkage of modular rolling mills can be carried out during the high-speed bar production process, thereby improving the high-speed bar rolling effect.

Description

Technical Field

[0001] The present invention relates to the technical field of bar rolling, and particularly to a multi-machine linkage control method for modular rolling mills on a high-speed bar production line. Background Art

[0002] At present, in high-speed bar production, modular rolling mills are used for rolling; to improve production efficiency, multiple modular rolling mills are used on a high-speed bar production line. However, the rolling speeds of each modular rolling mill are different, and during the high-speed bar production process, it is impossible to know whether multiple modular rolling mills can be linked, thus affecting the high-speed bar rolling effect. Summary of the Invention

[0003] The purpose of the present invention is to provide a multi-machine linkage control method for modular rolling mills on a high-speed bar production line, aiming to solve the technical problem in the prior art that during the high-speed bar production process, it is impossible to know whether multiple modular rolling mills can be linked, thus affecting the high-speed bar rolling effect.

[0004] To achieve the above purpose, a multi-machine linkage control method for modular rolling mills on a high-speed bar production line adopted by the present invention includes the following steps:

[0005] Establish a learning model to obtain executable data record bars and warning record bars respectively;

[0006] Determine the number of modular rolling mills required for the current high-speed bar production;

[0007] Determine the rolling speed of each required modular rolling mill;

[0008] According to the number of required modular rolling mills and the rolling speed of each required modular rolling mill, obtain a real-time operation record bar;

[0009] Compare the real-time operation record bar with the executable data record bars and warning record bars to confirm whether multiple modular rolling mills can be linked to produce high-speed bars at the rolling speed of the real-time operation record bar.

[0010] Among them, in the step of establishing a learning model to obtain executable data record bars and warning record bars respectively:

[0011] Set up a database, input the rolling speeds of multiple modular rolling mills in the database, and simulate the situation of bars being rolled through multiple modular rolling mills;

[0012] Record the rolling speeds in the case of successful rolling to obtain executable data record bars;

[0013] Record the rolling speeds in the case of rolling failure to obtain warning record bars.

[0014] Among them, in the step of comparing the real-time operation record bar with the executable data record bar and the warning record bar to confirm whether multiple modular rolling mills can be linked and high-speed bars can be produced at the rolling speed of the real-time operation record bar:

[0015] Compare the real-time operation record bar with the executable data record bar and the warning record bar. When the real-time operation record bar matches the executable data record bar, it means that high-speed bar production can be carried out, that is, multiple modular rolling mills can be linked to produce high-speed bars.

[0016] Among them, in the step of comparing the real-time operation record bar with the executable data record bar and the warning record bar to confirm whether multiple modular rolling mills can be linked and high-speed bars can be produced at the rolling speed of the real-time operation record bar:

[0017] Compare the real-time operation record bar with the executable data record bar and the warning record bar. When the real-time operation record bar matches the warning record bar, it means that high-speed bar production cannot be carried out.

[0018] Among them, after the step of comparing the real-time operation record bar with the executable data record bar and the warning record bar to confirm whether multiple modular rolling mills can be linked and high-speed bars can be produced at the rolling speed of the real-time operation record bar:

[0019] Monitor the high-speed bars in real time during the production process to check whether there are situations such as high-speed bars falling or jamming.

[0020] A method for multi-machine linkage control of modular rolling mills in a high-speed bar production line according to the present invention first establishes a learning model, respectively obtains an executable data record bar and a warning record bar, then determines the number of modular rolling mills required for current high-speed bar production, and then determines the rolling speed of each required modular rolling mill. According to the number of required modular rolling mills and the rolling speed of each required modular rolling mill, a real-time operation record bar is obtained. Finally, the real-time operation record bar is compared with the executable data record bar and the warning record bar to confirm whether multiple modular rolling mills can be linked and high-speed bars can be produced at the rolling speed of the real-time operation record bar; by judging whether multiple modular rolling mills can be linked at the rolling speed of the real-time operation record bar according to the executable data record bar and the warning record bar, it is possible to confirm whether multiple modular rolling mills can be linked during the high-speed bar production process, thereby improving the rolling effect of high-speed bars. Description of the Drawings

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0022] Figure 1 It is a flowchart of the steps of the multi - unit linkage control method for modular rolling mills in a high - speed bar production line of the present invention.

[0023] Figure 2 It is a flowchart of the steps of obtaining an executable data record bar and a warning record bar of the present invention. Detailed implementation manners

[0024] Please refer to Figure 1 and Figure 2 where Figure 1 is a flowchart of the steps of the multi - unit linkage control method for modular rolling mills in a high - speed bar production line, Figure 2 is a flowchart of the steps of obtaining an executable data record bar and a warning record bar.

[0025] The present invention provides a multi - unit linkage control method for modular rolling mills in a high - speed bar production line, including the following steps:

[0026] S1: Establish a learning model to obtain an executable data record bar and a warning record bar respectively;

[0027] S2: Determine the number of modular rolling mills required for current high - speed bar production;

[0028] S3: Determine the rolling speed of each required modular rolling mill;

[0029] S4: Obtain a real - time operation record bar according to the number of required modular rolling mills and the rolling speed of each required modular rolling mill;

[0030] S5: Compare the real - time operation record bar with the executable data record bar and the warning record bar. When the real - time operation record bar matches the executable data record bar, it means that high - speed bar production can be carried out, that is, multi - unit modular rolling mills can be linked to produce high - speed bars;

[0031] S6: Compare the real - time operation record bar with the executable data record bar and the warning record bar. When the real - time operation record bar matches the warning record bar, it means that high - speed bar production cannot be carried out;

[0032] S7: Monitor the high - speed bars in real - time during production to check whether there are situations such as high - speed bars falling or jamming.

[0033] In this embodiment, first, a learning model is established to obtain executable data record bars and warning record bars respectively. Then, the number of modular rolling mills required for current high-speed bar production is determined, and the rolling speed of each required modular rolling mill is determined. Then, according to the number of required modular rolling mills and the rolling speed of each required modular rolling mill, a real-time operation record bar is obtained. The real-time operation record bar is compared with the executable data record bar and the warning record bar. When the real-time operation record bar matches the executable data record bar, it indicates that high-speed bar production can be carried out, that is, multiple modular rolling mills can be linked to produce high-speed bars. Finally, the real-time operation record bar is compared with the executable data record bar and the warning record bar. When the real-time operation record bar matches the warning record bar, it indicates that high-speed bar production cannot be carried out, and the high-speed bars are monitored in real time during the production process to check whether there are situations such as high-speed bars falling or jamming. By judging whether multiple modular rolling mills can be linked under the rolling speed of the real-time operation record bar according to the executable data record bar and the warning record bar, it is possible to confirm whether multiple modular rolling mills can be linked during the high-speed bar production process, thereby improving the rolling effect of high-speed bars.

[0034] Further, in the step of establishing a learning model and obtaining executable data record bars and warning record bars respectively:

[0035] S11: Set up a database, input the rolling speeds of multiple modular rolling mills in the database, and preview the situation of bars being rolled by multiple modular rolling mills;

[0036] S12: Record the rolling speeds in the case of successful rolling to obtain executable data record bars;

[0037] S13: Record the rolling speeds in the case of rolling failure to obtain warning record bars.

[0038] In this embodiment, a database is first set up, and the rolling speeds of multiple modular rolling mills are input into the database. The situation of bar rolling through multiple modular rolling mills is simulated. Then, the rolling speeds in the case of successful rolling are recorded to obtain executable data record entries, and the rolling speeds in the case of rolling failure are recorded to obtain warning record entries. According to the number of required modular rolling mills and the rolling speeds of each required modular rolling mill, a real-time operation record entry is obtained. The real-time operation record entry is compared with the executable data record entries and the warning record entries. When the real-time operation record entry matches the executable data record entries, it indicates that high-speed bar production can be carried out, that is, multiple modular rolling mills can be linked to produce high-speed bars. Finally, the real-time operation record entry is compared with the executable data record entries and the warning record entries. When the real-time operation record entry matches the warning record entries, it indicates that high-speed bar production cannot be carried out. During the production process of high-speed bars, it is monitored in real time to check whether there are situations such as high-speed bars falling or jamming. By judging whether multiple modular rolling mills can be linked at the rolling speed of the real-time operation record entry according to the executable data record entries and the warning record entries, it is possible to confirm whether multiple modular rolling mills can be linked during the production process of high-speed bars, thereby improving the rolling effect of high-speed bars.

[0039] The above-disclosed is only a preferred embodiment of the present invention, and of course, it cannot be used to limit the scope of the rights of the present invention. Those of ordinary skill in the art can understand all or part of the processes of implementing the above embodiments, and the equivalent changes made according to the claims of the present invention still fall within the scope covered by the present invention.

Claims

1. A multi-machine linkage control method for modular rolling mills in a high-speed bar production line, characterized in that, It includes the following steps: Establish a learning model to obtain executable data records and warning records respectively; Determine the number of modular rolling mills required for current high-speed bar production; Determine the rolling speed of each required modular rolling mill; Obtain real-time operation records according to the number of required modular rolling mills and the rolling speed of each required modular rolling mill; Compare the real-time operation records with the executable data records and warning records to confirm whether multiple modular rolling mills can be linked to produce high-speed bars at the rolling speed of the real-time operation records; In the step of establishing a learning model to obtain executable data records and warning records respectively: Set up a database, input the rolling speeds of multiple modular rolling mills in the database, and simulate the situation of bars being rolled by multiple modular rolling mills; Record the rolling speed in the case of successful rolling to obtain executable data records; Record the rolling speed in the case of rolling failure to obtain warning records.

2. The multi-machine linkage control method for modular rolling mills in a high-speed bar production line according to claim 1, characterized in that In the step of comparing the real-time operation records with the executable data records and warning records to confirm whether multiple modular rolling mills can be linked to produce high-speed bars at the rolling speed of the real-time operation records: Compare the real-time operation records with the executable data records and warning records. When the real-time operation records match the executable data records, it means that high-speed bar production can be carried out, that is, multiple modular rolling mills can be linked to produce high-speed bars.

3. The multi-machine linkage control method for modular rolling mills in a high-speed bar production line according to claim 2, characterized in that, In the step of comparing the real-time operation records with the executable data records and warning records to confirm whether multiple modular rolling mills can be linked to produce high-speed bars at the rolling speed of the real-time operation records: Compare the real-time operation records with the executable data records and warning records. When the real-time operation records match the warning records, it means that high-speed bar production cannot be carried out.

4. The multi-machine linkage control method for the modular rolling mill of the high-speed bar production line according to claim 1, characterized in that, After the step of comparing the real-time operation records with the executable data records and warning records to confirm whether multiple modular rolling mills can be linked to produce high-speed bars at the rolling speed of the real-time operation records: Monitor the high-speed bars in real time during production to check whether there are situations such as high-speed bars falling or jamming.

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