A method for rapid statistical analysis of the main transmission idling creep time in a wide and heavy plate rolling mill

Abstract

The present invention discloses a method for rapid statistical analysis of the idling creep time of the main transmission of a wide and thick plate rolling mill, comprising the following steps: generating a mill steel-biting signal and a steel-throwing signal according to the magnitude of the rolling force detected by the rolling mill and slab signal tracking; when the falling edge of the steel-throwing signal of the rolling mill is triggered, it indicates that the main transmission of the rolling mill is in an idling state. If there is no steel-turning request signal at this time, a timer starts timing until the rising edge of the steel-biting signal of the rolling mill is triggered, stopping in time and clearing the time; when the steel-biting signal is triggered, the calculated time is compared, recorded, saved, and the number of times is increased; the data of the idling creep time of the main transmission of each shift is automatically cleared. By statistically analyzing the idling creep time of the main transmission of the rolling mill, the present invention can clearly know the idling time of the main transmission, thereby analyzing the cause in a targeted manner.

Description

Technical Field

[0001] The invention belongs to the field of metallurgical engineering, and in particular relates to a method for rapid statistical analysis of the idling creep time of a main transmission of a wide and thick plate rolling mill. Background Art

[0002] With increasingly fierce competition in the steel market, improving production efficiency and reducing manufacturing costs are crucial to further elevate company rankings and achieve ultimate competitiveness in manufacturing. As the core equipment in a steel mill, rolling mills consume a significant amount of energy. Improving their efficiency and reducing unnecessary waste can effectively save energy, reduce costs, and improve profitability. During normal rolling, excluding rolling time, the main transmission of the rolling mill is constantly in an idling, creeping state, with the longest idling time occurring during steel plate temperature control.

[0003] This urgently requires a method that can quickly count the main transmission idling creep time for statistical measurement, so as to take effective measures to reduce the creep time and reduce energy consumption. Summary of the Invention

[0004] Purpose of the invention: The purpose of the present invention is to provide a method for rapid statistical analysis of the idling creeping time of the main transmission of a wide and thick plate rolling mill, and to perform statistical measurement on the method of rapid statistical analysis of the idling creeping time of the main transmission, so as to take effective measures to reduce the creeping time and reduce energy consumption.

[0005] Technical solution: The method disclosed in the present invention for rapid statistical analysis of the idling creep time of the main transmission of a wide and heavy plate rolling mill comprises the following steps:

[0006] S1. According to the rolling force detected by the rolling mill and the slab signal tracking, the rolling mill bite signal and the steel throwing signal are generated;

[0007] S2, when the falling edge of the rolling mill steel throwing signal is triggered, it means that the main transmission of the rolling mill is in an idling state. If there is no steel turning request signal at this time, the timer starts timing until the rising edge of the rolling mill steel biting signal is triggered, stops in time and clears to zero;

[0008] S3. When the steel biting signal is triggered, the calculated time is compared, recorded, saved and the number of times is increased;

[0009] S4. The main transmission idling crawling time data of each shift is automatically cleared.

[0010] Furthermore, S3 compares the calculated time with 60s, 45s, and 30s. If it is greater than the comparison time, it means that the idling creep time of the main transmission of the rolling mill is long, and the recorded time is saved and the number of times is increased.

[0011] Furthermore, after S4, real-time statistics such as the time and number of main transmission idling crawling in each shift are collected to analyze and find the causes of long-term idling and improvement methods, thereby reducing idling time and saving energy.

[0012] Beneficial effects: Compared with the existing technology, the present invention has the following advantages: through statistics on the idling time of the main transmission of the rolling mill, the idling time of the main transmission can be clearly known, so as to analyze the reasons in a targeted manner; the reasons for the idling time of the main transmission can be analyzed, and targeted measures can be taken to reduce the idling time of the main transmission, thereby reducing energy consumption, green development, and improving the company's completion of carbon neutrality tasks; reducing the idling time of the main transmission can increase production time, increase output, and improve the company's benefits. DETAILED DESCRIPTION

[0013] The present invention will be further described below with reference to the embodiments.

[0014] At present, the idling creeping time of the main transmission of the rolling mill of Nangang Wide and Heavy Plate Plant has been quickly counted in real time, and the idling time and frequency of each shift have been analyzed in time to find the reasons, so as to take effective measures to reduce the idling time of the main transmission.

[0015] Example 1

[0016] A method for rapid statistical analysis of the idling creep time of the main transmission of a wide and heavy plate rolling mill comprises the following steps:

[0017] S1. According to the rolling force detected by the rolling mill and the slab signal tracking, the rolling mill bite signal and the steel throwing signal are generated;

[0018] S2, when the falling edge of the rolling mill steel throwing signal is triggered, it means that the main transmission of the rolling mill is in an idling state. If there is no steel turning request signal at this time, the timer starts timing until the rising edge of the rolling mill steel biting signal is triggered, stops in time and clears to zero;

[0019] S3. When the steel biting signal is triggered, the calculated time is compared with 60s. If it is greater than the comparison time, it means that the idling creep time of the main transmission of the rolling mill is long. The recorded time is saved and the number of times is increased.

[0020] S4. The main transmission idling crawling time data of each shift is automatically cleared;

[0021] S5. By real-time statistics of the time and number of main transmission idling crawling in each shift, we can analyze and find the reasons for long-term idling and improvement methods, thereby reducing idling time and saving energy.

[0022] Example 2

[0023] A method for rapid statistical analysis of the idling creep time of the main transmission of a wide and heavy plate rolling mill comprises the following steps:

[0024] S1. According to the rolling force detected by the rolling mill and the slab signal tracking, the rolling mill bite signal and the steel throwing signal are generated;

[0025] S2, when the falling edge of the rolling mill steel throwing signal is triggered, it means that the main transmission of the rolling mill is in an idling state. If there is no steel turning request signal at this time, the timer starts timing until the rising edge of the rolling mill steel biting signal is triggered, stops in time and clears to zero;

[0026] S3. When the steel biting signal is triggered, the calculated time is compared with 45s. If it is greater than the comparison time, it means that the idling creep time of the main transmission of the rolling mill is long. The recorded time is saved and the number of times is increased.

[0027] S4. The main transmission idling crawling time data of each shift is automatically cleared;

[0028] S5. By real-time statistics of the time and number of main transmission idling crawling in each shift, we can analyze and find the reasons for long-term idling and improvement methods, thereby reducing idling time and saving energy.

[0029] Example 3

[0030] A method for rapid statistical analysis of the idling creep time of the main transmission of a wide and heavy plate rolling mill comprises the following steps:

[0031] S1. According to the rolling force detected by the rolling mill and the slab signal tracking, the rolling mill bite signal and the steel throwing signal are generated;

[0032] S2, when the falling edge of the rolling mill steel throwing signal is triggered, it means that the main transmission of the rolling mill is in an idling state. If there is no steel turning request signal at this time, the timer starts timing until the rising edge of the rolling mill steel biting signal is triggered, stops in time and clears to zero;

[0033] S3. When the steel biting signal is triggered, the calculated time is compared with 30s. If it is greater than the comparison time, it means that the idling creep time of the main transmission of the rolling mill is long. The recorded time is saved and the number of times is increased.

[0034] S4. The main transmission idling crawling time data of each shift is automatically cleared;

[0035] S5. By real-time statistics of the time and number of main transmission idling crawling in each shift, we can analyze and find the reasons for long-term idling and improvement methods, thereby reducing idling time and saving energy.

[0036] The results of the main transmission idling time in Example 1, Example 2, and Example 3 are as follows:

[0037] Example Maximum idling time per shift Idle times per shift Number of incorrect statistics Example 1 150 57 0 Example 2 130 84 0 Example 3 110 109 0

[0038] In summary, by conducting statistical analysis on idling time, idling times and miscounting times, we can meet the production needs of customers.

Claims

1. A method for rapid statistical analysis of the idling creep time of the main transmission of a wide and heavy plate rolling mill, characterized in that: The following steps are involved: S1. According to the rolling force detected by the rolling mill and the slab signal tracking, the rolling mill bite signal and the steel throwing signal are generated; S2, when the falling edge of the rolling mill steel throwing signal is triggered, it means that the main transmission of the rolling mill is in an idling state. If there is no steel turning request signal at this time, the timer starts timing until the rising edge of the rolling mill steel biting signal is triggered, stops in time and clears to zero; S3. When the steel biting signal is triggered, the calculated time is compared, recorded, saved and the number of times is increased; S4. The main transmission idling crawling time data of each shift is automatically cleared.

2. The method for rapid statistical analysis of the idling creep time of the main transmission of a wide and heavy plate rolling mill according to claim 1 is characterized in that: In S3, the calculated time is compared with 60s, 45s, and 30s. If it is greater than the comparison time, it means that the idling creep time of the main transmission of the rolling mill is long. The recorded time is saved and the number of times is increased.

3. The method for rapid statistical analysis of the idling creep time of the main transmission of a wide and heavy plate rolling mill according to claim 1 is characterized in that: After S4, the time and frequency of main transmission idling crawling in each shift are counted in real time to analyze and find the reasons for long-term idling and improvement methods, thereby reducing idling time and saving energy.