Method and device for optimizing rolling interval of bars and wires
By setting and adjusting the expected and actual interval evaluation values of the rolling mill, a closed-loop feedback mechanism was established, which solved the problem of difficulty in matching the rhythm of the heating furnace and the rolling line, and achieved dynamic optimization of the rolling interval and improved production efficiency.
Patent Information
- Application Number
- CN202211162194.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-09-23
- Publication Date
- 2024-12-27
- Estimated Expiration
- 2042-09-23
AI Technical Summary
The prior art has difficulty in predicting the rhythm coordination between the heating furnace and the rolling line, which leads to unstable production. The lack of quantitative evaluation methods and static parameter setting leads to difficulty in dynamic adaptation and affects production efficiency.
By setting the evaluation values of the expected optimal interval and actual interval, adjusting the speed and speed reduction parameters of the rolling mill, establishing a closed-loop feedback mechanism, dynamically optimizing the rolling rhythm, and avoiding the uncertainty of artificially setting control parameters.
Quantitative evaluation and optimization of rolling intervals are achieved, the stability and efficiency of the production line are improved, and the limitations of static parameters adapted to the worst-case scenarios are avoided.
Smart Images
Figure CN115488159B_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of steel rolling, and in particular to a method and a device for optimizing the rolling interval of bars and wires. Background Art
[0002] For the rod and wire rolling production line, the heating furnace and the rolling line are two connected control areas and control units. If the steel-out rhythm of the heating furnace and the rolling interval of the rolling line can be effectively coordinated, the production rhythm can be improved to a great extent, thus helping to increase production and efficiency.
[0003] The interaction logic between the heating furnace and the rolling line is as follows: the rolling line sends a steel request instruction to the heating furnace, and the heating furnace taps steel according to the above instruction. The rhythm coordination logic between the heating furnace and the rolling line can be as follows: after the heating furnace receives the steel request instruction, it transports the steel billet to the predetermined position at a predetermined time interval. The difficulty of rhythm coordination is that after the heating furnace receives the instruction, it has consumed too much time to tap steel, so it is too late. Therefore, it is necessary to predict the steel tapping rhythm.
[0004] In order to achieve the above purpose, researchers have proposed some rhythm control methods for rhythm coordination from the perspectives of heating furnace and rolling line. For example, the heating furnace controls the steel-out rhythm by predicting the rolling interval of the rolling line, and the rolling line predicts the steel-out rhythm of the heating furnace, controls the steel-in rhythm, and optimizes the steel-in interval. Since the heating furnace and the rolling line belong to two control units, and their respective rhythms are affected by many factors and fluctuate greatly, it is difficult for each to accurately predict the rhythm of the other party, and the rhythm coordination is not ideal. Some researchers have also proposed a head-to-tail steel-out scheme, the principle of which is that the front and rear billets entering the rolling line area are connected head to tail. When the tail of the front steel leaves the 1# rolling mill, the steel-in interval is controlled by slowing down the 1# rolling mill. In this way, the rhythm control is completely transferred to the rolling line area, the rhythm control is more flexible, and the problem of unsatisfactory rhythm coordination between the heating furnace and the rolling line is solved, but there are still the following shortcomings: 1. There is a lack of rhythm quantitative evaluation method, and it is impossible to judge the current rhythm level and whether there is still room for optimization. It is usually manually evaluated empirically on the production status of the production line. 2. Speed control parameters are set according to human experience, such as speed amplitude, speed slope, speed duration, etc., and are static parameters. Static parameters must adapt to the worst case scenario, otherwise it will lead to unstable production and it will be difficult to dynamically adapt to all production conditions and achieve the optimal state. Summary of the invention
[0005] In order to overcome the above-mentioned defects of the prior art, a method and device for optimizing the rolling interval of bars and wires are provided in an embodiment of the present invention, which can solve the problem of fluctuations in the expected optimal rhythm and optimize the control of the rolling interval, thereby dynamically optimizing the rolling rhythm while ensuring stable operation of the production line, thereby effectively improving production efficiency.
[0006] The specific technical solution of the embodiment of the present invention is:
[0007] A method for optimizing the rolling interval of a bar or wire, comprising:
[0008] Setting the expected optimal interval of the preset key points;
[0009] Collecting the actual intervals of the preset key points;
[0010] Obtaining an evaluation value according to the expected optimal interval and the actual interval;
[0011] According to the plurality of evaluation values, the speed setting value of the rolling mill between the head and tail rolling intervals, the reference value of the speed reduction maintenance time of the rolling mill between the head and tail rolling intervals, and the reference value of the speed reduction amplitude of the rolling mill between the head and tail rolling intervals are adjusted to obtain the speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient;
[0012] According to the speed reduction superposition coefficient and the reference value of the speed reduction amplitude of the rolling mill for adjusting the head and tail rolling interval, a setting value of the speed reduction amplitude of the rolling mill for adjusting the head and tail rolling interval is obtained;
[0013] According to the speed reduction maintenance time superposition coefficient and the reference value of the speed reduction maintenance time of the rolling mill for adjusting the head and tail rolling interval, a setting value of the speed reduction maintenance time of the rolling mill for adjusting the head and tail rolling interval is obtained;
[0014] The rolling mill is adjusted according to the set value of the speed reduction amplitude of the rolling mill during the head-to-tail rolling interval and the set value of the speed reduction maintenance time of the rolling mill during the head-to-tail rolling interval.
[0015] Preferably, the preset key points include at least one of the following: flying shears, loopers, spinning machines, hubs, tail clamps, and rotating drums.
[0016] Preferably, the expected optimal intervals of the preset key points are set as Ts1, Ts2, ..., Tsn, respectively, wherein n represents the number of the preset key points; the influencing factors of the expected optimal intervals include at least one of the following: a design parameter item, a setting parameter item, and a measurement fluctuation error item, wherein the design parameter item involves the inherent action cycle of the equipment and the driving device, the setting parameter item involves the process setting, and the measurement fluctuation error item involves the measurement data fluctuation caused by unexpected factors;
[0017] The actual intervals of the preset key points are collected, which are Ta1, Ta2, ..., Tan;
[0018] Obtaining an evaluation value according to the expected optimal interval and the actual interval specifically includes:
[0019] The rhythm errors of the preset key points are calculated according to the expected optimal interval and the actual interval, which are Te1, Te2, ..., Ten, respectively, where Ten = Tan-Tsn;
[0020] An evaluation value is calculated based on the rhythm errors of the preset key points, and the evaluation value is equal to the minimum rhythm error of the preset key points, Te=min{Te1, Te2, ..., Ten}.
[0021] Preferably, the step of obtaining the speed reduction superposition coefficient according to the plurality of evaluation values, adjusting the speed setting value of the head and tail rolling interval rolling mill, adjusting the head and tail rolling interval rolling mill speed reduction maintenance time reference value, and adjusting the head and tail rolling interval rolling mill speed reduction amplitude reference value specifically includes:
[0022] Continuously collect multiple evaluation values Te;
[0023] Calculate an average value Teavg of the plurality of evaluation values Te according to the plurality of evaluation values Te;
[0024] The average value Teavg is judged. If it meets the preset requirements, the speed reduction superposition coefficient is obtained according to the average value Teavg, the speed setting value of the head and tail rolling interval rolling mill, the speed reduction maintenance time reference value of the head and tail rolling interval rolling mill, and the speed reduction amplitude reference value of the head and tail rolling interval rolling mill.
[0025] Preferably, the preset requirement includes an absolute value of the average value Teavg>e, where e represents a set acceptable error.
[0026] Preferably,
[0027] The speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient are obtained according to the average value Teavg, the speed setting value of the head and tail rolling interval rolling mill, the speed reduction maintenance time reference value of the head and tail rolling interval rolling mill, and the speed reduction amplitude reference value of the head and tail rolling interval rolling mill. The speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient meet the following conditions:
[0028] When ke1×ke2 is not equal to 0, the following constraint relationship must exist between the two: Ke1×Ke2+Ke1+Ke2+VTe / (T1×dV1)+e=0,
[0029] Among them, e is the error adjustment item, ke1 represents the speed reduction superposition coefficient, ke2 represents the speed reduction maintenance time superposition coefficient, V represents the speed setting value of the rolling mill for adjusting the head and tail rolling interval, T1 represents the reference value of the speed reduction maintenance time of the rolling mill for adjusting the head and tail rolling interval, and dV1 represents the reference value of the speed reduction amplitude of the rolling mill for adjusting the head and tail rolling interval.
[0030] Preferably, the values of the speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient are specifically as follows:
[0031] ke1=-Teavg×V / (T1×dV1),ke2=0; or
[0032] ke1=0,ke2=-Teavg×V / (T1×dV1); or
[0033] ke1=Ke2=(1-Teavg×V / (T1×dV1))^0.5-1.
[0034] Preferably, in the step of obtaining a set value for adjusting the speed reduction amplitude of the head and tail rolling interval rolling mill according to the speed reduction superposition coefficient and the reference value for adjusting the speed reduction amplitude of the head and tail rolling interval rolling mill, the specific calculation process is as follows:
[0035] dVs=dV1×(1+ke1),
[0036] Among them, dVs represents the set value of the speed reduction amplitude of the rolling mill for adjusting the head and tail rolling interval.
[0037] Preferably, in the step of obtaining a setting value for adjusting the speed reduction maintenance time of the head and tail rolling interval rolling mill according to the speed reduction maintenance time superposition coefficient and the reference value for adjusting the speed reduction maintenance time of the head and tail rolling interval rolling mill, the specific calculation process is as follows:
[0038] Ts=T1×(1+ke2),
[0039] Among them, Ts represents the set value of the speed reduction maintenance time of the rolling mill during the head and tail rolling interval.
[0040] Preferably, the bar and wire rolling interval optimization method further comprises:
[0041] After the step of adjusting the rolling mill according to the head-to-tail rolling interval rolling mill speed reduction amplitude setting value and the head-to-tail rolling interval rolling mill speed reduction maintenance time setting value,
[0042] Repeat all the above steps in a continuous cycle.
[0043] A device for optimizing the rolling interval of a bar or wire, comprising:
[0044] An input module, for receiving a setting of an expected optimal interval of a preset key point;
[0045] A collection module, used for collecting the actual intervals of the preset key points;
[0046] An evaluation module, used for obtaining an evaluation value according to the expected optimal interval and the actual interval;
[0047] A calculation module, for obtaining a speed reduction superposition coefficient and a speed reduction maintenance time superposition coefficient according to a plurality of evaluation values, adjusting a speed setting value of a head-to-tail rolling interval rolling mill, adjusting a speed reduction maintenance time reference value of a head-to-tail rolling interval rolling mill, and adjusting a speed reduction amplitude reference value of a head-to-tail rolling interval rolling mill;
[0048] A speed reduction amplitude setting value module is used to obtain a speed reduction amplitude setting value for adjusting the head and tail rolling interval rolling mill according to the speed reduction superposition coefficient and a reference value for adjusting the speed reduction amplitude of the head and tail rolling interval rolling mill;
[0049] A speed reduction maintenance time setting value module is used to obtain a speed reduction maintenance time setting value for adjusting the head and tail rolling interval rolling mill according to the speed reduction maintenance time superposition coefficient and a reference value for adjusting the head and tail rolling interval rolling mill speed reduction maintenance time;
[0050] The adjustment module is used to adjust the rolling mill according to the set value of the speed reduction amplitude of the rolling mill during the head and tail rolling interval and the set value of the speed reduction maintenance time of the rolling mill during the adjustment of the head and tail rolling interval.
[0051] The bar and wire rolling interval optimization method and device proposed in this application can quantitatively and clearly evaluate the rhythm level based on the evaluation value obtained by setting the expected optimal interval and the actual interval, and provide a clear direction for the optimization of the rolling interval. At the same time, a closed-loop feedback mechanism is established based on the evaluation value and the set value. The adjusted rolling mill will affect the actual interval of the preset key points collected later, and then recalculate the appropriate head and tail rolling interval rolling mill speed reduction amplitude setting value and the said adjusted head and tail rolling interval rolling mill speed reduction maintenance time setting value. The present application can avoid the uncertainty of artificially set control parameters and the limitation that static parameters must adapt to the worst case, solve the rolling interval optimization control under the condition of expected optimal rhythm fluctuations, dynamically optimize the rolling rhythm while satisfying the stable operation of the production line, and effectively improve production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0052] The accompanying drawings described herein are only for explanation purposes and are not intended to limit the scope of the present invention in any way. In addition, the shapes and proportional dimensions of the various components in the figures are only schematic, used to help understand the present invention, and are not specifically limited to the shapes and proportional dimensions of the various components of the present invention. Those skilled in the art can select various possible shapes and proportional dimensions to implement the present invention according to the teachings of the present invention.
[0053] Figure 1 The figure is a flow chart of the steps of the method for optimizing the rolling interval of bars and wires in an embodiment of the present invention.
[0054] Figure 2 It is a schematic flow chart of the wire process flow in an embodiment of the present invention.
[0055] Figure 3 Schematic diagram of the structure of the device for optimizing the rolling interval of bars and wires in an embodiment of the present invention. DETAILED DESCRIPTION
[0056] The details of the present invention can be more clearly understood with reference to the accompanying drawings and the description of the specific embodiments of the present invention. However, the specific embodiments of the present invention described herein are only used for the purpose of explaining the present invention and cannot be understood as limiting the present invention in any way. Under the guidance of the present invention, technicians can conceive of any possible variations based on the present invention, which should all be considered to belong to the scope of the present invention.
[0057] In order to solve the problem of expected optimal rhythm fluctuation, optimize the rolling interval control, dynamically optimize the rolling rhythm while ensuring stable operation of the production line, and effectively improve production efficiency, a method for optimizing the rolling interval of bars and wires is proposed in this application. Figure 1 FIG. 1 is a flow chart of the steps of the method for optimizing the rolling interval of bars and wires in an embodiment of the present invention, as shown in FIG. Figure 1 As shown, the bar and wire rolling interval optimization method may include the following steps:
[0058] S101: Setting the expected optimal interval of the preset key points.
[0059] Figure 2 Schematic diagram of the wire process flow diagram of the present invention in an embodiment, as shown in FIG. Figure 2 As shown in the figure, since the heating furnace and the rolling mill are affected by other process equipment downstream, the wire rod needs to go through the flying shear process after coming out of the heating furnace and passing through the rolling mill. There is also a looper device between the adjacent flying shear devices. After the flying shear, it needs to enter the spinning machine. Therefore, it is necessary to consider the influence of the above equipment to optimize the rolling interval of the rolling mill. There are many reasons for the failure of the production line, some of which are related to the rhythm and some are not related to the rhythm. Therefore, in order to correctly evaluate the rhythm level, it is necessary to consider those rhythm-related factors and eliminate irrelevant factors. First, the expected optimal interval of the preset key points is set. These preset key points include at least one of the following: flying shear, looper, spinning machine, hub, tail clamp, drum, etc. The expected optimal interval of the preset key points is set as Ts1, Ts2, ..., Tsn, where n represents the number of preset key points.
[0060] The constraints of these points usually come from the limitations of the equipment action cycle or the process requirements. The expected optimal interval of the preset key points can be set in combination with the above constraints and actual production experience. The influencing factors of the expected optimal interval include at least one of the following: design parameter items, setting parameter items and measurement fluctuation error items. Design parameter items mainly involve the inherent action cycle of equipment and drive devices, setting parameter items mainly involve process settings, and measurement fluctuation error items mainly involve measurement data fluctuations caused by unexpected factors. In this way, the acceptable range of the actual interval can be clarified, illegal actual intervals can be eliminated in a timely manner, and the accuracy and effectiveness of the data used in the optimization process can be ensured. Among them, the design parameter items and setting parameter items can be set manually and remain unchanged, the measurement data fluctuation items can remain unchanged, or they can be fine-tuned according to the measured values during the actual calculation process.
[0061] S102: Collecting the actual intervals of preset key points.
[0062] In this step, the actual intervals of these preset key points in the actual generation process are collected, which are Ta1, Ta2, ..., Tan. The actual intervals of these preset key points correspond to the expected optimal intervals.
[0063] S103: Obtain an evaluation value according to the expected optimal interval and the actual interval.
[0064] In this step, the rhythm error with the preset key point of the rhythm limit is used as an indicator to quantitatively measure the rhythm level. For multiple limit points, the minimum error is taken as the rhythm level. When the minimum difference is 0, the optimal rhythm can be achieved. Specifically, the following steps may be included:
[0065] The rhythm errors of each preset key point are calculated according to the expected optimal interval and the actual interval, which are Te1, Te2, ..., Ten, respectively, where Ten = Tan-Tsn;
[0066] An evaluation value is calculated based on the rhythm errors of each preset key point, and the evaluation value is equal to the minimum rhythm error of each preset key point, Te=min{Te1, Te2, ..., Ten}.
[0067] S104: According to multiple evaluation values, the speed setting value of the rolling mill in the head and tail rolling interval, the speed reduction maintenance time reference value of the rolling mill in the head and tail rolling interval, and the speed reduction amplitude reference value of the rolling mill in the head and tail rolling interval are adjusted to obtain the speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient.
[0068] In this step, the optimization process of the rolling interval is established based on the evaluation value, which may specifically include the following steps:
[0069] A plurality of evaluation values Te are collected continuously. For example, M evaluation values Te may be collected continuously, where M is greater than or equal to 1.
[0070] The average value Teavg of the plurality of evaluation values Te is calculated based on the plurality of evaluation values Te. For example, the average value Teavg of the M evaluation values Te is calculated.
[0071] The average value Teavg is judged. If it meets the preset requirements, the speed reduction superposition coefficient is obtained according to the average value Teavg, the speed setting value of the head and tail rolling interval mill, the reference value of the speed reduction maintenance time of the head and tail rolling interval mill, and the reference value of the speed reduction amplitude of the head and tail rolling interval mill. Among them, the preset requirements may include the absolute value of the average value Teavg>e, where e represents the set acceptable error. If the preset requirements are not met, return to step S101. Considering the acceptable error e and the fluctuation item of the measured data in step S101, the stable production of the production line can be guaranteed.
[0072] According to the average value Teavg, the speed setting value of the rolling mill in the head and tail rolling interval is adjusted, the reference value of the speed reduction maintenance time of the rolling mill in the head and tail rolling interval is adjusted, and the reference value of the speed reduction amplitude of the rolling mill in the head and tail rolling interval is adjusted to obtain the speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient. According to the average value Teavg, the speed reduction superposition coefficient Ke1=f1(Teavg) and the speed reduction maintenance time superposition coefficient Ke2=f2(Teavg) are calculated, where f1 and f2 are functions that establish a mapping relationship between the average value Teavg and Ke1 and Ke2 respectively, and the two appear in pairs.
[0073] The speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient need to meet the following conditions:
[0074] When ke1×ke2 is not equal to 0, the following constraint relationship must exist between the two: Ke1×Ke2+Ke1+Ke2+VTe / (T1×dV1)+e=0, where e is the error adjustment item, which can usually be 0, ke1 represents the speed reduction superposition coefficient, ke2 represents the speed reduction maintenance time superposition coefficient, V represents the speed setting value of the head and tail rolling interval mill (which can be the first mill put into use), T1 represents the speed reduction maintenance time reference value of the head and tail rolling interval mill (which can be the first mill put into use), and dV1 represents the speed reduction amplitude reference value of the head and tail rolling interval mill (which can be the first mill put into use). In this way, the speed regulation is ensured by the speed regulation model, which overcomes the disadvantage of the prior art that the two variables of speed reduction and speed reduction maintenance time are adjusted independently and blindly without model adjustment.
[0075] Further, for example, the values of the speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient may be specifically as follows. The following are schematic examples of three groups of parameters with more characteristics:
[0076] ke1=-Teavg×V / (T1×dV1),ke2=0; or
[0077] ke1=0,ke2=-Teavg×V / (T1×dV1); or
[0078] ke1=Ke2=(1-Teavg×V / (T1×dV1))^0.5-1.
[0079] Among them, they are respectively the data when one of the speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient is 0, and the data when the speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient are equal.
[0080] S105: Obtain a setting value for adjusting the speed reduction amplitude of the rolling mill for adjusting the head and tail rolling interval according to the speed reduction superposition coefficient and a reference value for adjusting the speed reduction amplitude of the rolling mill for adjusting the head and tail rolling interval.
[0081] In this step, the setting value of the speed reduction amplitude of the rolling mill for adjusting the head and tail rolling interval is calculated according to the speed reduction superposition coefficient and the reference value of the speed reduction amplitude of the rolling mill for adjusting the head and tail rolling interval. The specific calculation process is as follows:
[0082] dVs=dV1×(1+ke1),
[0083] Among them, dVs represents the set value of the speed reduction amplitude of the head and tail rolling interval rolling mill (which can be the first rolling mill put into use).
[0084] S106: Obtain a setting value for adjusting the speed reduction maintenance time of the rolling mill during the head and tail rolling interval according to the speed reduction maintenance time superposition coefficient and a reference value for adjusting the speed reduction maintenance time of the rolling mill during the head and tail rolling interval.
[0085] In this step, the set value of the speed reduction maintenance time of the adjusted head and tail rolling interval rolling mill is calculated according to the speed reduction maintenance time superposition coefficient and the reference value of the speed reduction maintenance time of the adjusted head and tail rolling interval rolling mill. The specific calculation process is as follows:
[0086] Ts=T1×(1+ke2),
[0087] Among them, Ts represents the set value of the speed reduction maintenance time of the head and tail rolling interval rolling mill (which can be the first rolling mill put into use).
[0088] S107: adjusting the rolling mill according to the set value of the speed reduction amplitude of the rolling mill during the head and tail rolling interval and the set value of the speed reduction maintenance time of the rolling mill during the head and tail rolling interval.
[0089] S108: After the step of adjusting the rolling mill according to the set value of the speed reduction amplitude of the rolling mill during the head and tail rolling interval and the set value of the speed reduction maintenance time of the rolling mill during the head and tail rolling interval,
[0090] All the above steps, namely steps S101 to S107, are repeated in a continuous loop.
[0091] The following is a specific embodiment:
[0092] According to the equipment and process constraints, 9 preset key points were selected on the rolling line, and the expected rhythms were set to Ts1 = Ts2 = Ts3 = 1.7s, Ts4 = Ts5 = Ts6 = Ts7 = Ts8 = 1.8s, and Ts9 = 1.8s.
[0093] The actual intervals for collecting preset key points are: Ta1=2.5s, Ta2=2.4s, Ta3=2.3s, Ta4=2.4s, Ta5=2.4s, Ta6=2.3s, Ta7=2.3s, Ta8=2.3s, Ta9=2.3s.
[0094] The rhythm errors of each preset key point are calculated according to the expected optimal interval and the actual interval, Te1=Ta1-Ts1=2.5-1.7=0.8s, Te2=2.4-1.7=0.7s, and so on, Te3=0.6s, Te4=0.6s, Te5=0.6s, Te6=0.5s, Te7=0.5s, Te8=0.5s, Te9=0.5s.
[0095] The evaluation value is calculated based on the rhythm error of each preset key point, and the evaluation value is equal to the minimum rhythm error of each preset key point.
[0096] Te=min{Te1, Te2,...,Te9}=min{0.8,0.7,0.6,0.6,0.6,0.5,0.5,0.5,0.5}=0.5s.
[0097] M Te values are collected continuously, where M=5. It is assumed that the 5 Te values are 0.5s, 0.6s, 0.7s, 0.6s, and 0.5s respectively.
[0098] Calculate the average value of M Te values: Teavg = (0.5 + 0.6 + 0.7 + 0.7 + 0.5) / 5 = 0.6s.
[0099] The average value Teavg is judged. If |Teavg|>e (set e=0.1s), that is, 0.6>0.1, the subsequent steps are executed. The speed reduction superposition coefficient is obtained according to the average value Teavg, the speed setting value of the head and tail rolling interval rolling mill is adjusted, the speed reduction maintenance time reference value of the head and tail rolling interval rolling mill is adjusted, and the speed reduction amplitude reference value of the head and tail rolling interval rolling mill is adjusted. The formula is used for ke1=-Teavg×V / (T1×dV1), ke2=0, and V=0.5m / s, T1=10s, dV1=0.05m / s, then ke1=-0.5×0.5 / (1×0.05)=-0.5.
[0100] The setting value of the speed reduction amplitude for adjusting the head and tail rolling interval is calculated according to the speed reduction superposition coefficient and the reference value of the speed reduction amplitude for adjusting the head and tail rolling interval, dVs=dV1×(1+ke1)=0.05×(1-0.5+0.6%)=0.0250503m / s.
[0101] According to the superposition coefficient of the speed reduction maintenance time and the reference value of the speed reduction maintenance time of the rolling mill for adjusting the head and tail rolling interval, the setting value of the speed reduction maintenance time of the rolling mill for adjusting the head and tail rolling interval is obtained, and Ts=T1 remains unchanged.
[0102] The rolling mill is adjusted according to the setting value of the speed reduction amplitude of the rolling mill dVs=0.0250503m / s and the setting value of the speed reduction maintenance time of the rolling mill Ts=T1=10s during the head and tail rolling interval. After that, all the above steps are repeated continuously.
[0103] This application also proposes a bar and wire rolling interval optimization device, Figure 3 Schematic diagram of the structure of the bar and wire rolling interval optimization device in the embodiment of the present invention, as shown in FIG. Figure 3 As shown, the bar and wire rolling interval optimization device may include:
[0104] The input module 100 is used to receive the setting of the expected optimal interval of the preset key points.
[0105] The acquisition module 200 is used to acquire the actual intervals of the preset key points.
[0106] The evaluation module 300 is used to obtain an evaluation value according to the expected optimal interval and the actual interval.
[0107] The calculation module 400 is used to adjust the speed setting value of the head and tail rolling interval rolling mill, adjust the speed reduction maintenance time reference value of the head and tail rolling interval rolling mill, and adjust the speed reduction amplitude reference value of the head and tail rolling interval rolling mill to obtain the speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient according to multiple evaluation values.
[0108] The speed reduction amplitude setting value module 500 is used to obtain the speed reduction amplitude setting value of the head and tail rolling interval rolling mill according to the speed reduction superposition coefficient and the reference value of the speed reduction amplitude of the head and tail rolling interval rolling mill.
[0109] The speed reduction maintenance time setting value module 600 is used to obtain the speed reduction maintenance time setting value of the head and tail rolling interval rolling mill according to the speed reduction maintenance time superposition coefficient and the base value of the speed reduction maintenance time of the head and tail rolling interval rolling mill.
[0110] The adjustment module 700 is used to adjust the rolling mill according to the set value of the speed reduction amplitude of the rolling mill in the head and tail rolling interval and the set value of the speed reduction maintenance time of the rolling mill in the head and tail rolling interval.
[0111] The present application also proposes a device for optimizing the rolling interval of rods and wires, comprising a memory and a processor, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the following steps are implemented: any of the above-mentioned methods for optimizing the rolling interval of rods and wires.
[0112] The present application also proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the above method are implemented.
[0113] The bar and wire rolling interval optimization method and device proposed in this application can quantitatively and clearly evaluate the rhythm level based on the evaluation value obtained by setting the expected optimal interval and the actual interval, and provide a clear direction for the optimization of the rolling interval. At the same time, a closed-loop feedback mechanism is established based on the evaluation value and the set value. The adjusted rolling mill will affect the actual interval of the preset key points collected later, and then recalculate the appropriate head and tail rolling interval rolling mill speed reduction amplitude setting value and adjust the head and tail rolling interval rolling mill speed reduction maintenance time setting value. The present application can avoid the uncertainty of artificially set control parameters and the limitation that static parameters must adapt to the worst case, solve the rolling interval optimization control under the condition of expected optimal rhythm fluctuations, and effectively improve the rolling rhythm.
[0114] Those skilled in the art also know that, in addition to implementing the controller in a purely computer-readable program code, the controller can be made to implement the same function in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, such a controller can be considered as a hardware component, and the devices for implementing various functions included therein can also be considered as structures within the hardware component. Or even, the devices for implementing various functions can be considered as both software modules for implementing the method and structures within the hardware component.
[0115] The system, device, module or unit illustrated in the above embodiment can be implemented by a computer chip or entity, or by a product with a certain function. For the convenience of description, the above device is described by being divided into various units according to their functions. Of course, when implementing this application, the functions of each unit can be implemented in the same one or more software and / or hardware. This application can be used in many general or special computer system environments or configurations. For example: personal computers, server computers, handheld devices or portable devices, tablet devices, multi-processor systems, microprocessor-based systems, set-top boxes, programmable consumer electronic devices, network PCs, minicomputers, mainframe computers, distributed computing environments including any of the above systems or devices, etc.
[0116] The present application may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. The present application may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.
[0117] Although the present application has been described through embodiments, persons skilled in the art will appreciate that there are many modifications and variations of the present application without departing from the spirit of the present application. It is intended that the appended claims include these modifications and variations without departing from the spirit of the present application.
Claims
1. A method for optimizing the rolling interval of bars and wires, characterized in that: It includes: Setting the expected optimal interval of the preset key points; Collecting the actual intervals of the preset key points; Obtaining an evaluation value according to the expected optimal interval and the actual interval; According to the multiple evaluation values, the speed setting value of the head and tail rolling interval mill is adjusted, the speed reduction maintenance time reference value of the head and tail rolling interval mill is adjusted, and the speed reduction amplitude reference value of the head and tail rolling interval mill is adjusted to obtain the speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient, which specifically includes: continuously collecting multiple evaluation values Te; calculating the average value Teavg of the multiple evaluation values Te according to the multiple evaluation values Te; judging the average value Teavg, if it meets the preset requirements, then according to the average value Teavg, adjusting the speed setting value of the head and tail rolling interval mill, adjusting the speed reduction maintenance time reference value of the head and tail rolling interval mill, adjusting the speed reduction amplitude reference value of the head and tail rolling interval mill to obtain the speed reduction superposition coefficient; the speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient meet the following conditions: when ke1×ke2 is not equal to 0, the two must have the following constraint relationship, Ke1×Ke2+Ke1+Ke2+VTe / (T1×dV1)+e=0, where e is the error adjustment item, ke1 represents the speed reduction superposition coefficient, ke2 represents the speed reduction maintenance time superposition coefficient, V represents the speed setting value of the rolling mill for adjusting the head and tail rolling interval, T1 represents the reference value of the speed reduction maintenance time of the rolling mill for adjusting the head and tail rolling interval, and dV1 represents the reference value of the speed reduction amplitude of the rolling mill for adjusting the head and tail rolling interval; According to the speed reduction superposition coefficient and the reference value of the speed reduction amplitude of the rolling mill for adjusting the head and tail rolling interval, a setting value of the speed reduction amplitude of the rolling mill for adjusting the head and tail rolling interval is obtained; According to the speed reduction maintenance time superposition coefficient and the reference value of the speed reduction maintenance time of the rolling mill for adjusting the head and tail rolling interval, a setting value of the speed reduction maintenance time of the rolling mill for adjusting the head and tail rolling interval is obtained; The rolling mill is adjusted according to the set value of the speed reduction amplitude of the rolling mill during the head-to-tail rolling interval and the set value of the speed reduction maintenance time of the rolling mill during the head-to-tail rolling interval.
2. The method for optimizing the rolling interval of bars and wires according to claim 1, characterized in that: The preset key points include at least one of the following: flying shears, loopers, spinning machines, hubs, tail clamps, and rotating drums.
3. The method for optimizing the rolling interval of bars and wires according to claim 1, characterized in that: The expected optimal intervals of the preset key points are set as Ts1, Ts2, ..., Tsn, respectively, where n represents the number of the preset key points; the influencing factors of the expected optimal intervals include at least one of the following: a design parameter item, a setting parameter item, and a measurement fluctuation error item, wherein the design parameter item involves the inherent action cycle of the equipment and the driving device, the setting parameter item involves the process setting, and the measurement fluctuation error item involves the measurement data fluctuation caused by unexpected factors; The actual intervals of the preset key points are collected, which are Ta1, Ta2, ..., Tan; Obtaining an evaluation value according to the expected optimal interval and the actual interval specifically includes: The rhythm errors of the preset key points are calculated according to the expected optimal interval and the actual interval, which are Te1, Te2, ..., Ten, respectively, where Ten = Tan-Tsn; An evaluation value is calculated based on the rhythm errors of the preset key points, and the evaluation value is equal to the minimum rhythm error of the preset key points, Te=min{Te1, Te2, ..., Ten}.
4. The method for optimizing the rolling interval of bars and wires according to claim 1, characterized in that: The preset requirements include that the absolute value of the average value Teavg> a set acceptable error.
5. The method for optimizing the rolling interval of bars and wires according to claim 1, characterized in that: The values of the speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient are specifically as follows: ke1=-Teavg×V / (T1×dV1),ke2=0; or ke1=0,ke2=-Teavg×V / (T1×dV1); or ke1=Ke2=(1-Teavg×V / (T1×dV1))^0.5-1.
6. The method for optimizing the rolling interval of bars and wires according to claim 5, characterized in that: In the step of obtaining the set value of adjusting the speed reduction amplitude of the head and tail rolling interval rolling mill according to the speed reduction superposition coefficient and the reference value of adjusting the speed reduction amplitude of the head and tail rolling interval rolling mill, the specific calculation process is as follows: dVs=dV1×(1+ke1), Among them, dVs represents the set value of the speed reduction amplitude of the rolling mill for adjusting the head and tail rolling interval.
7. The method for optimizing the rolling interval of bars and wires according to claim 6, characterized in that: In the step of obtaining a setting value for adjusting the speed reduction maintenance time of the head and tail rolling interval rolling mill according to the speed reduction maintenance time superposition coefficient and the reference value for adjusting the speed reduction maintenance time of the head and tail rolling interval rolling mill, the specific calculation process is as follows: Ts=T1×(1+ke2), Among them, Ts represents the set value of the speed reduction maintenance time of the rolling mill during the head and tail rolling interval.
8. The method for optimizing the rolling interval of bars and wires according to claim 6, characterized in that: The bar and wire rolling interval optimization method further comprises: After the step of adjusting the rolling mill according to the head-to-tail rolling interval rolling mill speed reduction amplitude setting value and the head-to-tail rolling interval rolling mill speed reduction maintenance time setting value, Repeat all the above steps in a continuous cycle.
9. A device for optimizing the rolling interval of bars and wires, characterized in that: include: An input module, for receiving a setting of an expected optimal interval of a preset key point; A collection module, used for collecting the actual intervals of the preset key points; An evaluation module, used for obtaining an evaluation value according to the expected optimal interval and the actual interval; A calculation module is used to obtain a speed reduction superposition coefficient and a speed reduction maintenance time superposition coefficient according to a plurality of evaluation values, adjusting the speed setting value of the head and tail rolling interval rolling mill, adjusting the speed reduction maintenance time reference value of the head and tail rolling interval rolling mill, and adjusting the speed reduction amplitude reference value of the head and tail rolling interval rolling mill according to the plurality of evaluation values. Specifically, it includes: continuously collecting a plurality of evaluation values Te; calculating an average value Teavg of the plurality of evaluation values Te according to the plurality of evaluation values Te; judging the average value Teavg, and if it meets the preset requirements, obtaining the speed reduction superposition coefficient according to the average value Teavg, adjusting the speed setting value of the head and tail rolling interval rolling mill, adjusting the speed reduction maintenance time reference value of the head and tail rolling interval rolling mill, and adjusting the speed reduction amplitude reference value of the head and tail rolling interval rolling mill; the speed reduction superposition coefficient and the speed reduction maintenance time superposition coefficient meet the following conditions: when ke1×ke2 is not equal to 0, the two need to have the following constraint relationship, Ke1×Ke2+Ke1+Ke2+VTe / (T1×dV1)+e=0, where e is the error adjustment item, ke1 represents the speed reduction superposition coefficient, ke2 represents the speed reduction maintenance time superposition coefficient, V represents the speed setting value of the rolling mill for adjusting the head and tail rolling interval, T1 represents the reference value of the speed reduction maintenance time of the rolling mill for adjusting the head and tail rolling interval, and dV1 represents the reference value of the speed reduction amplitude of the rolling mill for adjusting the head and tail rolling interval; A speed reduction amplitude setting value module is used to obtain a speed reduction amplitude setting value for adjusting the head and tail rolling interval rolling mill according to the speed reduction superposition coefficient and a reference value for adjusting the speed reduction amplitude of the head and tail rolling interval rolling mill; A speed reduction maintenance time setting value module is used to obtain a speed reduction maintenance time setting value for adjusting the head and tail rolling interval rolling mill according to the speed reduction maintenance time superposition coefficient and a reference value for adjusting the head and tail rolling interval rolling mill speed reduction maintenance time; The adjustment module is used to adjust the rolling mill according to the set value of the speed reduction amplitude of the rolling mill during the head and tail rolling interval and the set value of the speed reduction maintenance time of the rolling mill during the adjustment of the head and tail rolling interval.