Intelligent bar rolling negative tolerance measurement and control method based on actual weight acquisition

Abstract

The invention discloses an intelligent bar rolling negative tolerance measurement and control method based on actual weight collection. The intelligent bar rolling negative tolerance measurement and control method comprises the following steps that the weight of a steel billet after oxidation burning loss is removed is obtained; the received head and tail cutting weight is recorded as a variable A, the weight per meter of a finished product is recorded as a variable B, and the correction coefficient is recorded as a variable C; and calculating and outputting the negative tolerance of the current steel billet according to the negative tolerance = [(the weight of the steel billet after the oxidation burning loss is removed-A) / (the total length of the finished product * B)-1] * a correction coefficient. According to the method, the negative tolerance of the current steel billet is intelligently measured and calculated on the basis of the comprehensive actual weight of charging weighing, oxidation burning loss and head and tail cutting, the theoretical weight of finished product length measurement is matched, intelligent real-time measurement and control of negative tolerance data in the one-rod and two-rod rolling process of a steel rolling mill on the basis of actual weight collection are achieved, then the timeliness and accuracy of field control are improved, and the working efficiency is improved. And post personnel are reminded to perform optimization adjustment, so that the timeliness and accuracy of optimization adjustment can be improved, and the yield can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of steel production, and in particular to an intelligent bar rolling negative tolerance measurement and control method based on actual weight collection. Background Art

[0002] National regulations stipulate that the deviation between the theoretical weight (per meter) and the actual weight of a bar must not exceed a specified range. This deviation is called the negative tolerance. To achieve better economic benefits and reduce costs while ensuring product quality, it is particularly important for manufacturers to more accurately control the negative tolerance. During the single and double bar rolling process at a steel mill, there are two methods for obtaining the negative tolerance data for the finished product:

[0003] 1. The personnel at the finishing rolling sample inspection post cut a section of the finished product from the cooling bed every 15 minutes, then use a cutting machine to cut the sampling end of the finished product flat, and then place it on the meter weight meter for measurement, and finally obtain the negative tolerance data.

[0004] 2. After the finished product has gone through the steps of cooling bed, cold shearing, bundling, weighing, etc. (more than 30 minutes), the negative tolerance data is calculated by weighing the finished product.

[0005] The defects of the above two methods are: both methods have different degrees of lag, and are unable to measure the negative tolerance data of the finished product in real time and cannot make targeted adjustments in real time, and thus cannot achieve efficient regulation of the negative tolerance of the finished product; the delayed data feedback cannot timely discover the problem of exceeding the negative tolerance or the absolute value of the negative tolerance being too small, which is not conducive to cost reduction control and real-time control of quality compliance. Summary of the Invention

[0006] In order to overcome the above-mentioned shortcomings of the prior art, the purpose of the present invention is to provide an intelligent bar rolling negative tolerance measurement and control method based on actual weight collection.

[0007] The technical solution adopted by the present invention to solve the technical problem is: an intelligent bar rolling negative tolerance measurement and control method based on actual weight collection, comprising the following steps:

[0008] Obtain the weight of the steel billet after removing oxidation and burning losses;

[0009] The weight of the received trimmings is recorded as variable A, the weight of the finished product per meter is recorded as variable B, and the correction factor is recorded as variable C;

[0010] According to the negative tolerance = [(weight of the steel billet after removing oxidation and burning - A) / (total length of the finished product × B) - 1] × correction coefficient, the negative tolerance of the current steel billet is calculated and output. The weight of the steel billet after removing oxidation and burning is the weight of the steel billet entering the furnace × (1-burning rate).

[0011] As a further improvement of the present invention: when the negative tolerance of the current steel billet exceeds a preset threshold, an audible and visual alarm is triggered to prompt the process personnel to adjust the rolling parameters.

[0012] As a further improvement of the present invention: dynamic tracking of billet weight, the specific steps are as follows:

[0013] Read the billet weight D on the cantilever roller;

[0014] The steel signal is detected on the discharge roller, and the billet weight D is transmitted to the discharge roller and stored in variable E;

[0015] When the first rolling mill detects steel signal, variable E is transferred to the rough rolling mill and stored in variable F;

[0016] When the hot inspection at the intermediate rolling entrance detects steel, the variable F is transferred to the intermediate rolling and stored in the variable G;

[0017] When the nth rolling mill detects a steel signal, the variable G is transferred to the intermediate variable H of the middle roll weight;

[0018] When a steel signal is detected at the hot inspection of the finishing rolling entrance, the intermediate variable H of the middle rolling weight is stored as J, where J=H×(1-burning loss rate);

[0019] In response to the steel throwing signal of the Nth rolling mill, the finishing rolling segment variable J is called, where N≥2(n-1);

[0020] The negative tolerance of the steel billet is calculated according to the formula: negative tolerance = [(JA) / (total length of finished product × B)-1] × 100% × correction coefficient.

[0021] As a further improvement of the present invention, the weight transfer in the dynamic tracking of the billet weight specifically includes:

[0022] The steel signal on the outgoing rollers triggers the weight storage of the outgoing rollers;

[0023] The steel signal from one rolling mill triggers the weight of the outgoing roller to be transferred to the rough rolling section;

[0024] The hot metal detection at the intermediate rolling entrance sends a steel signal, triggering the transfer from the rough rolling section to the intermediate rolling section;

[0025] The steel signal from 11 rolling mills triggers the transfer of the intermediate rolling section to the finishing rolling preparation weight;

[0026] Hot metal detection at the finishing rolling entrance detects steel signals, triggering burnout compensation and storage of the actual weight of the finishing rolling section.

[0027] As a further improvement of the present invention: the burn-out rate is dynamically adjusted based on the heating furnace temperature curve: burn-out rate = basic burn-out rate 0.5%~0.7% + k×(actual furnace temperature-standard furnace temperature), k = 0.001~0.005% / ℃, standard furnace temperature = 1150℃.

[0028] As a further improvement of the present invention: the generation of variable J includes:

[0029] J=H×(1-burning rate)×(ρ 实际 / ρ 标称 ), ρ 实际 The real-time density of steel is inferred from the temperature measuring instrument at the finishing rolling entrance.

[0030] As a further improvement of the present invention: the setting of the correction coefficient C:

[0031] Initial value C = 1.0;

[0032] According to the negative tolerance Q measured by the rear area meter 实测 , press C 新 =C 旧 ×(1+(Q 目标 -Q 实测 ) / 10) update; where Q 目标 This is the median value allowed by the national standard.

[0033] As a further improvement of the present invention: adding the negative tolerance formula for roller table consumption optimization,

[0034] Negative tolerance = [(JA) / (total length of finished product × B × m)-1] × 100% × C, where m = 1-r × rolling tonnage, and r is the roller loss coefficient (0.0001% / ton).

[0035] As a further improvement of the present invention: the setting of the correction coefficient C:

[0036] Establish a historical data set: {weight meter measured value, theoretical value, rolling speed, temperature} → C optimal value;

[0037] The C value of the next billet is predicted by the LSTM model and recommended to the editable correction coefficient C input box.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] By matching the comprehensive actual weight of furnace weighing, oxidation and burning loss, and head and tail cutting with the theoretical weight of the finished product length measurement, the negative tolerance of the current steel billet is intelligently calculated, and the negative tolerance data of the first and second bars in the rolling process of the steel rolling mill can be intelligently measured and controlled in real time based on the actual weight collection, and then a real-time warning is issued to remind the process personnel to make timely adjustments. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0041] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention and corresponding drawings. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0042] In order to solve the technical problems in the prior art, the present invention is further described with reference to the accompanying drawings and embodiments:

[0043] like Figure 1 As shown, the present invention discloses an intelligent bar rolling negative tolerance measurement and control method based on actual weight collection, comprising the following steps:

[0044] Obtain the weight of the steel billet after removing oxidation and burning losses;

[0045] The weight of the received trimmings is recorded as variable A, the weight of the finished product per meter is recorded as variable B, and the correction factor is recorded as variable C;

[0046] According to negative tolerance = [(weight of steel billet after removing oxidation and burning loss - A) / (total length of finished product × B) - 1] × correction coefficient, the negative tolerance of the current steel billet is calculated and output.

[0047] Furthermore, the weight of the steel billet after removing oxidation and burning loss is the weight of the billet into the furnace × (1-burning loss rate). For example, (1-burning loss rate) is 99.3%.

[0048] The negative tolerance calculation formula is: Negative tolerance = [(actual weight - theoretical weight) / theoretical weight] * 100% * correction factor. In this example, the actual weight of the billet is calculated based on the combined actual weight of incoming weight, oxidation loss, and head and tail trimming, matched to the theoretical weight of the finished product. The negative tolerance of the current billet is intelligently calculated.

[0049] The correction factor C is dynamically set based on the negative tolerance data measured by the meter weight meter in the back-end control room at the finishing rolling inspection station. The screens on the rolling line and in the back-end control room display include a real-time negative tolerance value display interface, an editable input box for the head and tail weight A, an editable input box for the finished rice unit weight B, and an editable input box for the correction factor C.

[0050] Intelligent prediction of the weight A of the cut head and tail:

[0051] Train a regression model based on historical data:

[0052] A=f(steel type, rolling speed, flying shear state);

[0053] Recommend A value in real time and automatically fill in the input box.

[0054] In some embodiments, when the negative tolerance of the current steel billet exceeds a preset threshold, an audible and visual alarm is triggered to prompt the process personnel to adjust the rolling parameters.

[0055] When the negative tolerance exceeds the standard, the correction coefficient C input box will be automatically highlighted, prompting you to adjust C first. If the standard is still exceeded after adjusting C, you will be prompted to check the weight of the cut ends A or the weight of the finished rice B.

[0056] Obtaining the total length L of the finished product:

[0057] A laser length gauge is used to measure the length of the bar on the cooling bed in real time, and the data is transmitted back to the rolling line PLC via 5G.

[0058] If the laser length measuring instrument fails, switch to: L = rolling speed V × finishing rolling to cooling bed transmission time T.

[0059] In some implementations, a step of dynamically tracking the weight of the steel billet is added:

[0060] Read the billet weight D on the cantilever roller;

[0061] The steel signal is detected on the discharge roller, and the billet weight D is transmitted to the discharge roller and stored in variable E;

[0062] When the first rolling mill detects steel signal, variable E is transferred to the rough rolling mill and stored in variable F;

[0063] When the hot inspection at the intermediate rolling entrance detects steel, the variable F is transferred to the intermediate rolling and stored in the variable G;

[0064] When the nth rolling mill detects a steel signal, the variable G is transferred to the intermediate variable H of the middle roll weight;

[0065] When a steel signal is detected at the hot inspection of the finishing rolling entrance, the intermediate variable H of the middle rolling weight is transmitted to the finishing rolling and stored as J;

[0066] In response to the steel throwing signal of the Nth rolling mill, the finishing rolling segment variable J is called, where N≥2(n-1);

[0067] The negative tolerance of the steel billet is calculated according to the formula: negative tolerance = [(JA) / (total length of finished product × B)-1] × 100% × correction coefficient.

[0068] In a steel rolling line, rolling mills are usually numbered according to the processing sequence (e.g., 1, 2, ... N), representing the rolling process of the steel billet from the heating furnace to the finished product. The numbering rules are as follows:

[0069] The smaller the number (such as 1): the closer it is to the heating furnace, responsible for rough rolling (large section compression);

[0070] Number in the middle (e.g. 11): medium rolling transition section (medium section adjustment);

[0071] The larger the number (such as 20 frames): the finishing section (final size setting).

[0072] 1 rolling mill (roughing section): receives the heated billet and performs the first large deformation rolling (such as rolling the square billet into a rectangular section); triggers the weight data to be transferred from the furnace roller (variable E) to the roughing section (variable F).

[0073] n rolling mills (intermediate rolling / finishing rolling transition section): After completing intermediate rolling, prepare for finishing rolling by adjusting the cross-section shape and temperature uniformity; trigger the weight data to be transferred from the intermediate rolling section (variable G) to the intermediate variable H to prepare for finishing rolling compensation calculation.

[0074] N-stand rolling mill (end of finishing section): finalizes bar dimensions (such as rib height and diameter of rebar); the steel throwing signal triggers negative tolerance calculation (calling variable J) to achieve real-time measurement and control.

[0075] Variable J is the real-time data source for the actual weight in the formula, calculated based on dynamically collected weight. Variable J is updated in real time through the rolling line transmission chain (D→E→F→G→H→J). When steel is detected during heat inspection at the finishing entrance, variable H is transferred to J. When the Nth rack steel-throwing signal is triggered, J is directly called and substituted into the formula for calculation, achieving instant results upon rolling completion and eliminating lag. Dynamic weight tracking, real-time calculation, and visual control are implemented, clarifying the data transmission path (variable D→J), calculation formula (including burnout rate and correction factor), and triggering conditions (20 rack steel-throwing signals).

[0076] For example, the weight of the billet entering the furnace × 99.3% in the negative tolerance formula corresponds to the variable J (i.e. J = weight of the billet entering the furnace × 99.3%), where J: provides the net weight of the billet in the finishing section (excluding burnt loss); A: loss due to cutting head and tail (manually input); B: national standard weight per meter (manually input); C: correction coefficient (dynamically adjusted based on actual measurement feedback).

[0077] In a specific example, the rolling line PLC reads the weight D of the billet exiting the cantilever roller from the heating furnace PLC in real time, and transmits the weight data step by step along the rolling line:

[0078] When there is steel on the roller table, the billet weight D is stored in variable E;

[0079] When there is steel in one rolling mill, the variable E is transferred to the rough rolling section variable F;

[0080] When there is steel in the hot inspection at the intermediate rolling entrance, the variable F is transferred to the variable G of the intermediate rolling section;

[0081] When there is steel in the 11th rolling mill, the variable G is transferred to the intermediate variable H;

[0082] When there is steel in the hot inspection at the finishing rolling entrance, the variable H is transferred to the finishing rolling section variable J;

[0083] In response to the steel throwing signal of 20 rolling mills, the finishing rolling segment variable J is called and the negative tolerance of the steel billet is calculated according to the formula:

[0084] Negative tolerance = [(into-furnace billet weight × 99.3% - cut head and tail weight A) / (total length of finished product × finished product weight per meter B) - 1] × 100% × correction factor C

[0085] =[(JA) / (total length of finished product × B)-1] × 100% × correction coefficient C.

[0086] The production links, meanings, and triggering conditions corresponding to the above variable symbols are shown in the following table.

[0087]

[0088]

[0089] All variables (D→E→F→G→H→J) represent the weight of a single billet, but their storage locations are dynamically updated as the rolling process progresses: D→E→F→G: weight remains unchanged (only the original weight D is transmitted); H→J: weight changes, where J = H × 99.3% (compensating for oxidation and burn losses). Each variable corresponds to the physical location of the billet (for example, weight is stored in J only when steel is present during hot inspection at the finishing rolling entrance), ensuring a strict binding between weight and billet location. Trigger signals (such as "steel present") drive data flow, avoiding polling delays.

[0090] Furthermore, the weight transfer in the dynamic tracking of the billet weight specifically includes:

[0091] The steel signal on the outgoing rollers triggers the weight storage of the outgoing rollers;

[0092] The steel signal from one rolling mill triggers the weight of the outgoing roller to be transferred to the rough rolling section;

[0093] The hot metal detection at the intermediate rolling entrance sends a steel signal, triggering the transfer from the rough rolling section to the intermediate rolling section;

[0094] The steel signal from 11 rolling mills triggers the transfer of the intermediate rolling section to the finishing rolling preparation weight;

[0095] Hot metal detection at the finishing rolling entrance detects steel signals, triggering burnout compensation and storage of the actual weight of the finishing rolling section.

[0096] Through intelligent measurement based on the comprehensive actual weight calculation of furnace weighing, oxidation and burning loss, and cutting heads and tails, and matching the theoretical weight calculation of finished product length measurement, the intelligent real-time measurement and control of the negative tolerance data during the rolling process of one and two bars in the steel rolling mill is realized based on the actual weight collection.

[0097] This system provides intelligent, real-time early warning of negative tolerance data during the first and second rolling processes of steel mills, prompting process personnel to make timely adjustments. This maximizes yield and reduces the cost per ton of steel without exceeding national control standards, thereby creating greater benefits for the enterprise.

[0098] In some embodiments, the burn-out rate is dynamically adjusted based on the heating furnace temperature curve: burn-out rate = burn-out rate = basic burn-out rate 0.5% to 0.7% + k × (actual furnace temperature - standard furnace temperature), k = 0.001 to 0.005% / °C, standard furnace temperature = 1150°C.

[0099] In some implementations, the correction coefficient C is set as follows:

[0100] Initial value C = 1.0;

[0101] According to the negative tolerance Q measured by the rear area meter 实测 , press C 新 =C 旧 ×(1+(Q 目标 -Q 实测 ) / 10) update; where Q 目标 This is the median value allowed by the national standard.

[0102] In some implementations, the correction coefficient C is set as follows:

[0103] Establish a historical data set: {weight meter measured value, theoretical value, rolling speed, temperature} → C optimal value;

[0104] The C value of the next billet is predicted by the LSTM model and recommended to the editable correction coefficient C input box.

[0105] When the heating furnace temperature rises to 1200°C (50°C above the standard), the burnout rate is automatically adjusted to 0.7% + 50 × 0.001% = 0.75%, improving J-value accuracy by 0.05%. Simultaneously, the LSTM model predicts a C-value that is increased by 0.15, mitigating bias from manual experience. A dual laser length measuring instrument reduces length error from ±0.3% to ±0.1% under high-speed rolling, ultimately achieving a negative tolerance control accuracy of 99.8%.

[0106] In some embodiments, the negative tolerance formula for roller wear optimization is added.

[0107] Negative tolerance = [(JA) / (total length of finished product × B × m)-1] × 100% × C, where m = 1-r × rolling tonnage, and r is the roller loss coefficient (0.0001% / ton).

[0108] In some implementations, generating the variable J includes:

[0109] J=H×(1-burning rate)×(ρ 实际 / ρ 标称 ), ρ 实际 The real-time density of steel is inferred from the temperature measuring instrument at the finishing rolling entrance.

[0110] Implementation Case 1:

[0111] This embodiment discloses an intelligent bar rolling negative tolerance measurement and control method based on actual weight collection, which is based on the intelligent measurement of the comprehensive actual weight calculation of furnace weighing, oxidation and burning loss, and head and tail cutting, and the theoretical weight calculation matching the finished product length measurement.

[0112] 1. Set the negative tolerance calculation formula: Negative tolerance = [(actual weight - theoretical weight) / theoretical weight] × 100% × correction factor.

[0113] 1. Actual weight = billet weight after removing oxidation and burning loss - weight of the cut ends;

[0114] (1) Billet weight after removing oxidation and burning loss = billet weight into the furnace × 99.3%;

[0115] (2) Weight of trimmed head and tail = variable A;

[0116] 2. Theoretical weight = total length of finished product × weight per meter of finished product (national standard);

[0117] (1) Finished rice weight = variable B;

[0118] 3. Correction coefficient = variable C.

[0119] 4. Negative tolerance = [(into-furnace billet weight × 99.3% - A) / total length of finished product × B-1] × correction factor.

[0120] The correction coefficient is set according to the negative tolerance data measured by the finishing rolling inspector on the meter weight meter in the rear area control room.

[0121] 2. Program Implementation

[0122] 1. Obtaining the actual weight of the billet

[0123] (1) The rolling line PLC reads the billet weight D at the cantilever roller table position of the heating furnace PLC;

[0124] (2) Tracking of billet weight after entering the rolling line

[0125] ① The billet weight data of the cantilever roller is transmitted to the billet conveyor and stored in variable E;

[0126] ②1st rack transmits the weight data of the steel roller out of the furnace to the rough rolling mill and stores it in variable F;

[0127] ③ The steel is hot inspected at the entrance of the intermediate rolling mill and the rough rolling weight data is transmitted to the intermediate rolling mill and stored in variable G;

[0128] ④ Frame 11 has steel that transfers variable G to intermediate variable H;

[0129] ⑤ At the entrance of finishing rolling, the steel is hot-checked and the intermediate variable H of the intermediate rolling weight data is transferred to the finishing rolling and stored in the variable J.

[0130] 2. Negative tolerance calculation

[0131] The weight data of 20 steel castings is called by J and the negative tolerance of the current steel billet is calculated according to the formula.

[0132] 3. Screen Display

[0133] 1. Add negative tolerance display to the rolling line screen;

[0134] 2. The wire rolling screen adds the cut head and tail weight output box, correction coefficient input box, and finished rice unit weight input box.

[0135] The same screen was added to the finishing sample viewing post in the rear area control room simultaneously.

[0136] The detailed steps are as follows:

[0137] Step 1: Design a new intelligent calculation formula for negative tolerance

[0138] The first step is to design a new negative tolerance calculation formula that is highly consistent with actual production conditions on site. The negative tolerance calculation formula is: negative tolerance = [(actual weight - theoretical weight) / theoretical weight] × 100% × correction factor. The correction factor here is an important method to eliminate steady-state errors.

[0139] Step 2: Design a method to collect actual weight

[0140] Actual weight = billet weight after removing oxidation and burning loss - weight of cut ends and tails. Billet weight after removing oxidation and burning loss = billet weight entering furnace × 99.3%. Weight of cut ends and tails and tails = variable A. Variable A is input on the wincc screen by process personnel based on actual measurement results.

[0141] Step 3: Add a finished product theoretical weight identification unit

[0142] Theoretical weight = total length of finished product × unit weight of finished rice (national standard), unit weight of finished rice = variable B, correction coefficient = variable C. The head and tail weight variable, correction coefficient variable, and unit weight of finished rice are controlled by the head and tail weight output box, correction coefficient input box, and unit weight input box added to the rolling screen.

[0143] Step 4: Design an intelligent output system for negative tolerance data

[0144] Negative tolerance = [(incoming billet weight × 99.3% - A) / finished product total length × B - 1] × correction factor, where the correction factor is set based on the negative tolerance data measured by the finishing rolling inspector on the meter weight meter in the back-end control room. Through the above intelligent calculation and integrated combination, intelligent output of negative tolerance data can be achieved;

[0145] Step 5: Add the actual weight value of the billet to obtain the control unit

[0146] In order to achieve intelligent acquisition of the actual weight value of the steel billet, a control program matching it is designed to achieve this. The method for obtaining the actual weight value of the steel billet is as follows: the rolling line PLC reads the weight D of the steel billet at the cantilever roller position of the heating furnace PLC, and then performs data conversion and data transmission;

[0147] Step 6: Design the intelligent tracking unit for billet weight in the rolling line

[0148] The method and steps for tracking the weight of the billet after it enters the rolling line are as follows:

[0149] 1. The billet weight data of the cantilever roller is transmitted to the billet conveyor and stored in variable E.

[0150] 2. 1st rack transmits the weight data of the steel outgoing roller to the rough rolling mill and stores it in variable F;

[0151] 3. The heat inspection at the entrance of the intermediate rolling mill transfers the rough rolling weight data to the intermediate rolling mill and stores it in variable G;

[0152] 4. Frame 11 has steel to pass variable G to intermediate variable H;

[0153] 5. At the entrance of finishing rolling, the steel is hot-checked and the intermediate variable H of the intermediate rolling weight data is transferred to the finishing rolling and stored in the variable J.

[0154] Step 7: Design an intelligent drive control system

[0155] In order to realize the intelligent drive of negative tolerance calculation during the rolling process, the design is as follows: the 20-frame steel throwing signal is used to intelligently drive the negative tolerance calculation. After 20 frames of steel throwing, the weight data J is called and the current billet negative tolerance is intelligently calculated according to the formula.

[0156] Step 8: Add a visual display control unit

[0157] The method and steps for visual display of the screen are as follows:

[0158] 1. Add negative tolerance display to the rolling line screen;

[0159] 2. The wire rolling screen adds the cut head and tail weight output box, correction coefficient input box, and finished rice unit weight input box.

[0160] 3. The same screen is added to the finishing sample viewing position in the rear area control room.

[0161] The main functions of the present invention are:

[0162] 1. Through intelligent measurement based on the comprehensive actual weight calculation of furnace weighing, oxidation and burning loss, and cutting heads and tails, and matching the theoretical weight calculation of finished product length measurement, the negative tolerance data of the first and second bar rolling processes in the steel mill can be intelligently measured and controlled in real time based on actual weight collection, thereby improving the timeliness and accuracy of on-site control.

[0163] 2. Intelligently realize real-time intelligent bar rolling negative tolerance measurement and control based on actual weight collection, and intelligently remind personnel to make optimization adjustments, which can improve the timeliness and accuracy of optimization adjustments and improve the yield rate.

[0164] In summary, after reading the present invention document, ordinary technicians in this field can make various other corresponding transformation schemes based on the technical solutions and technical concepts of the present invention without creative mental work, and all of them fall within the scope of protection of the present invention.

Claims

1. An intelligent bar rolling negative tolerance measurement and control method based on actual weight collection, characterized in that: The following steps are involved: Obtain the weight of the steel billet after removing oxidation and burning losses; The weight of the received trimmings is recorded as variable A, the weight of the finished product per meter is recorded as variable B, and the correction factor is recorded as variable C; According to negative tolerance = [(weight of steel billet after removing oxidation and burning loss - A) / (total length of finished product × B) - 1] × correction coefficient, the negative tolerance of the current steel billet is calculated and output.

2. The intelligent bar rolling negative tolerance measurement and control method based on actual weight collection according to claim 1 is characterized in that: The weight of the steel billet after removing oxidation and burning loss is the weight of the billet into the furnace × (1-burning rate).

3. The intelligent bar rolling negative tolerance measurement and control method based on actual weight collection according to claim 1 is characterized in that: When the negative tolerance of the current steel billet exceeds the preset threshold, an audible and visual alarm is triggered to prompt the process personnel to adjust the rolling parameters.

4. The intelligent bar rolling negative tolerance measurement and control method based on actual weight collection according to claim 1 is characterized in that: Dynamic tracking of billet weight, the specific steps are as follows: Read the billet weight D on the cantilever roller; The steel signal is detected on the discharge roller, and the billet weight D is transmitted to the discharge roller and stored in variable E; When the first rolling mill detects steel signal, variable E is transferred to the rough rolling mill and stored in variable F; When the hot inspection at the intermediate rolling entrance detects steel, the variable F is transferred to the intermediate rolling and stored in the variable G; When the nth rolling mill detects a steel signal, the variable G is transferred to the intermediate variable H of the middle roll weight; When a steel signal is detected at the hot inspection of the finishing rolling entrance, the intermediate variable H of the middle rolling weight is stored as J, where J=H×(1-burning loss rate); In response to the steel throwing signal of the Nth rolling mill, the finishing rolling segment variable J is called, where N≥2(n-1); The negative tolerance of the steel billet is calculated according to the formula: negative tolerance = [(JA) / (total length of finished product × B)-1] × 100% × correction coefficient.

5. The intelligent bar rolling negative tolerance measurement and control method based on actual weight collection according to claim 1 is characterized in that: The weight transfer in the dynamic tracking of billet weight specifically includes: The steel signal on the outgoing rollers triggers the weight storage of the outgoing rollers; The steel signal from one rolling mill triggers the weight of the outgoing roller to be transferred to the rough rolling section; The hot metal detection at the intermediate rolling entrance sends a steel signal, triggering the rough rolling section to transfer to the intermediate rolling section; The steel signal from 11 rolling mills triggers the transfer of the intermediate rolling section to the finishing rolling preparation weight; Hot metal detection at the finishing rolling entrance detects steel signals, triggering burnout compensation and storage of the actual weight of the finishing rolling section.

6. The intelligent bar rolling negative tolerance measurement and control method based on actual weight collection according to claim 2 is characterized in that: The burn-out rate is dynamically adjusted based on the heating furnace temperature curve: burn-out rate = basic burn-out rate 0.5% to 0.7% + k × (actual furnace temperature - standard furnace temperature), k = 0.001 to 0.005% / °C.

7. The intelligent bar rolling negative tolerance measurement and control method based on actual weight collection according to claim 4 is characterized in that: The generation of variable J includes: J=H×(1-burning rate)×(ρ 实际 / ρ 标称 ), ρ 实际 The real-time density of steel is inferred from the temperature measuring instrument at the finishing rolling entrance.

8. The intelligent bar rolling negative tolerance measurement and control method based on actual weight collection according to claim 1 is characterized in that: Setting of correction coefficient C: Initial value C = 1.0; According to the negative tolerance Q measured by the rear area meter 实测 , press C 新 =C 旧 ×(1+(Q 目标 -Q 实测 ) / 10) update; where Q 目标 This is the median value allowed by the national standard.

9. The intelligent bar rolling negative tolerance measurement and control method based on actual weight collection according to claim 4 is characterized in that: Negative tolerance = [(JA) / (total length of finished product × B × m)-1] × 100% × C, where m = 1-r × rolling tonnage, and r is the roller loss coefficient (0.0001% / ton).

10. The intelligent bar rolling negative tolerance measurement and control method based on actual weight collection according to claim 1 is characterized in that: Setting of correction coefficient C: Establish a historical data set: {weight meter measured value, theoretical value, rolling speed, temperature} → C optimal value; The C value of the next billet is predicted by the LSTM model and recommended to the editable correction coefficient C input box.

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