Method, system and equipment for adjusting fullness of rail crown of steel rail and medium

Abstract

The invention relates to the field of steel rolling, and provides a method, system and device for adjusting the rail crown fullness degree of a steel rail and a medium, and the method comprises the steps: obtaining historical data of steel rail production, and constructing an expert experience model based on a block chain; the rail crown fullness degree is detected in real time; when the deviation of the specification size of the rail crown fullness exceeds a first preset value in response, a horizontal roller of the semi-universal rolling mill is adjusted based on the expert empirical model; and in response to the fact that the deviation of the specification size of the rail crown fullness exceeds a second preset value, horizontal rollers of the universal rolling mill and the semi-universal rolling mill are adjusted based on the expert empirical model. Based on the expert experience model of the block chain, an optimal adjustment scheme for different deviation of the rail crown fullness is formed, the control precision of the rail crown fullness of the steel rail is improved while stable rolling is guaranteed, the adjustment timeliness and the steel rolling adjustment normalization are improved, errors caused by manual adjustment are avoided, and the method is suitable for popularization and application. And product rail crown fullness specification control fluctuation among teams and groups is effectively reduced.

Description

Technical Field

[0001] The invention relates to the field of steel rolling, and in particular to a method, system, equipment and medium for adjusting the rail crown fullness of a rail. Background Art

[0002] There are usually two methods for the production of heavy rails: the traditional two-roller mode and the four-roller universal mode. The surface quality, cross-sectional dimension accuracy and fullness of the rail crown of the heavy rails produced by the two-roller mode cannot meet the requirements of modern high-speed heavy rails. Modern advanced heavy rail production lines all use the four-roller universal mode for production. The universal method of rolling rails is very different from the traditional hole-type rolling method. The rolling of the rolled pieces with a preliminary rail shape is produced by two blanking mills, and the proportional relationship between the head, waist and bottom is established. This is the basis for the universal rolling mill to roll rails. The universal unit generally adopts three or five frames. The five-frame has higher control accuracy. It consists of a universal roughing mill (UR1), an edge rolling mill (E1), a universal intermediate rolling mill (UR2), an edge rolling mill (E2), and a universal finishing mill (UF). After multiple rolling passes, the finished product is finally rolled out. In addition to the correlation between the head width and the rail crown filling degree, the bottom width and the rail crown filling degree can be adjusted separately without affecting each other. There are also many adjustment methods, which is more flexible and easier to adjust than the traditional rolling method. The main advantage of this rolling method is that when the head and bottom are directly pressed down by vertical rollers, the rolling of the rail head and rail bottom is carried out by vertical rollers, and the rolling direction is the same as the rotation direction of the rollers.

[0003] In rail production, there are different methods for adjusting the rail crown fullness, and there are many problems such as cross-influence between adjustment parameters and parameter accuracy, which result in the analysis results of equipment parameters and specification parameters being inconsistent with the actual deformation law and actual adjustment methods. How to refine and reconstruct manual experience, extract its essence, remove its dross, and build a unified adjustment plan is the key to ensure high-precision control of rail crown fullness. Summary of the invention

[0004] Based on the above purpose, the present invention proposes a method for adjusting the rail crown fullness of a rail, comprising: obtaining historical data of rail production and constructing an expert experience model based on blockchain; Real-time detection of rail crown fullness; In response to a deviation of a specification dimension of the rail crown fullness exceeding a first preset value, adjusting a horizontal roll of the semi-universal rolling mill based on the expert experience model; In response to the deviation of the specification size of the rail crown fullness exceeding the second preset value, the horizontal rolls of the universal rolling mill and the semi-universal rolling mill are adjusted based on the expert experience model.

[0005] In some embodiments, in response to the deviation of the specification size of the rail crown fullness exceeding a first preset value, the step of adjusting the horizontal roll of the semi-universal rolling mill based on the expert experience model includes: In response to the deviation of the specification size of the rail crown fullness being less than a first preset value, adjusting the horizontal roll of the semi-universal rolling mill based on the first scheme of the expert experience model; In response to a deviation of a specification dimension of the rail crown fullness being greater than a first preset value, a second solution based on the expert experience model adjusts a horizontal roll of the semi-universal rolling mill.

[0006] In some embodiments, in response to the deviation of the specification size of the rail crown fullness exceeding a second preset value, the step of adjusting the horizontal rolls of the universal rolling mill and the semi-universal rolling mill based on the expert experience model includes: In response to the deviation of the specification size of the rail crown fullness being less than a second preset value, adjusting the horizontal rolls of the universal rolling mill and the semi-universal rolling mill based on the third scheme of the expert experience model; In response to the deviation of the specification size of the rail crown fullness being greater than a second preset value, the fourth scheme based on the expert experience model adjusts the horizontal rolls of the universal rolling mill and the semi-universal rolling mill.

[0007] In some embodiments, the step of building a blockchain-based expert experience model includes: Obtain expert experience and adjustment plans; Define the structure of smart contracts based on expert experience and deploy smart contracts on the blockchain network; The expert experience and adjustment plan are stored in the smart contract to obtain the expert experience model.

[0008] In some embodiments, the step of obtaining expert experience includes: The historical rail crown filling specifications of each team are extracted from the historical data; Analyze the distribution of historical rail crown fullness specification size values, rank them according to the control effect of historical rail crown fullness specifications, and use the teams whose rankings exceed the threshold as expert knowledge; Expert experience is formed based on specification dimension value distribution and expert knowledge.

[0009] In some embodiments, the step of obtaining an adjustment plan includes: Determine the direction of adjustment and the corresponding adjustment value based on expert experience as the adjustment strategy; According to different size deviations, the adjustment strategies are classified and grouped to obtain corresponding adjustment plans.

[0010] In some embodiments, the step of detecting the rail crown fullness in real time includes: Set the measurement range and accuracy for wireless track detection; Monitor the rail crown fullness in real time and record the real-time value of the rail crown fullness.

[0011] The present invention provides a system for adjusting the rail crown fullness of a rail, comprising: A construction unit configured to obtain historical data of rail production and construct an expert experience model based on blockchain; A detection unit configured to detect rail crown fullness in real time; A first adjustment unit, configured to adjust a horizontal roll of the semi-universal rolling mill based on the expert experience model in response to a deviation of a specification size of the rail crown fullness exceeding a first preset value; The second adjustment construction unit is configured to adjust the horizontal rolls of the universal rolling mill and the semi-universal rolling mill based on the expert experience model in response to the deviation of the specification size of the rail crown fullness exceeding a second preset value.

[0012] The present invention provides a computer device, comprising: At least one processor; and a memory, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the program, the steps of the method for adjusting the rail crown fullness of a rail are performed.

[0013] The present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for adjusting the rail crown fullness of a rail are executed.

[0014] The present invention has at least the following beneficial technical effects: The present invention proposes a method, system, equipment and medium for adjusting the rail crown fullness of a rail, the method comprising: acquiring historical data of rail production and constructing an expert experience model based on blockchain; detecting the rail crown fullness in real time; in response to a deviation in the specification size of the rail crown fullness exceeding a first preset value, adjusting the horizontal rollers of a semi-universal rolling mill based on the expert experience model; in response to a deviation in the specification size of the rail crown fullness exceeding a second preset value, adjusting the horizontal rollers of a universal rolling mill and a semi-universal rolling mill based on the expert experience model.

[0015] The adjustment scheme constructed by the present invention is based on the expert experience of blockchain, and forms the optimal adjustment scheme for different deviations of rail crown fullness, which ensures stable rolling stability while improving the control accuracy of rail crown fullness, improves the timeliness of adjustment and the standardization of rolling adjustment, can not only solve the problem of low calculation efficiency of manual adjustment, but also avoid the errors caused by manual adjustment, and effectively reduces the fluctuations in product rail crown fullness specification control between work groups. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other embodiments can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A flow chart of a method for adjusting the rail crown fullness of a rail provided by the present invention; Figure 2 A system module diagram for adjusting the rail crown fullness of a rail provided by the present invention; Figure 3 A flow chart of an embodiment of a method for adjusting rail bottom width provided by the present invention; Figure 4 A process diagram of a universal rolling rail pass profile of an embodiment of a method for adjusting rail bottom width provided by the present invention; Figure 5 A schematic diagram of a rail cross section and rail crown fullness of an embodiment of a method for adjusting rail bottom width provided by the present invention; Figure 6 A schematic diagram of a hole pattern of an adjustment scheme for a rail bottom width adjustment method provided by the present invention, in which the 60kg / m rail crown filling degree exceeds the specification of 0.1mm-0.2mm; Figure 7 A schematic diagram of a hole pattern of an adjustment scheme for increasing the rail crown filling degree of 60kg / m by 0.3mm-0.6mm in accordance with an embodiment of a method for adjusting the bottom width of a rail provided by the present invention; Figure 8 A schematic diagram of sampling data before adjustment of an embodiment of a rail bottom width adjustment method provided by the present invention; Fig. 9 A graph of sampled data after adjustment of an embodiment of a method for adjusting rail bottom width provided by the present invention; Fig.10 A schematic diagram of the structure of an embodiment of a computer device provided by the present invention; Fig.11 A schematic diagram of the structure of an embodiment of a computer-readable storage medium provided by the present invention; Fig.12 A schematic diagram of a rail cross section and bottom width of an embodiment of a method for adjusting the bottom width of a rail provided by the present invention; Fig.13 A schematic diagram of a rail cross section and belly cavity of an embodiment of a method for adjusting rail bottom width provided by the present invention; Fig.14A schematic diagram of a rail cross section and an upper leg tip of an embodiment of a method for adjusting the bottom width of a rail provided by the present invention; Fig.15 A schematic diagram of a rail cross section and a lower leg tip of an embodiment of a method for adjusting rail bottom width provided by the present invention. DETAILED DESCRIPTION

[0018] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the embodiments of the present invention are further described in detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0019] It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are for distinguishing two non-identical entities with the same name or non-identical parameters. It can be seen that "first" and "second" are only for the convenience of expression and should not be understood as limitations on the embodiments of the present invention. The subsequent embodiments will not explain this one by one.

[0020] The present invention proposes a method for adjusting the rail crown fullness of a rail. Figure 1 , Figure 3 , Figure 4 , Figure 5 , Fig.12 , Fig.13 , Fig.14 and Fig.15 ,include: S1: Obtain historical data on rail production and build an expert experience model based on blockchain; S2: Real-time detection of rail crown fullness; S3: in response to the deviation of the specification size of the rail crown fullness exceeding the first preset value, adjusting the horizontal roll of the semi-universal rolling mill based on the expert experience model; S4: In response to the deviation of the specification size of the rail crown fullness exceeding the second preset value, the horizontal rolls of the universal rolling mill and the semi-universal rolling mill are adjusted based on the expert experience model.

[0021] Universal rolling rail pass process Figure 4 As shown: Production line: semi-universal production line, equipment UR1 (universal rolling mill), E1, UR2 (universal rolling mill), E2, UF (semi-universal rolling mill); adjusted production situation: normal steel output, normal rolling force, normal temperature, reasonable rolling speed, normal temperature.

[0022] Figure 5 , Fig.12 , Fig.13 , Fig.14 and Fig.15 The different parameters of the rail section are shown. Among them, Figure 5 For the rail crown, Fig.12 for, Fig.13 For the abdominal cavity, Fig.14 For the upper legs and thick head, Fig.15 It is the tip of the lower leg.

[0023] Rail section Figure 5 As shown in the figure, the rail crown fullness is an important specification of the rail waist. In actual production, the adjustment of the rail crown fullness size is mainly aimed at controlling the horizontal roller to adjust the metal plasticity change to achieve the purpose of controlling the rail crown fullness.

[0024] The present invention controls production data of each team, compiles a historical rail crown fullness specification control ranking table, selects the best team as the expert knowledge extraction object; forms the best adjustment plan based on the specification deviation value combined with expert experience, and establishes an empirical data model for rail crown fullness specification control; detects the actual specification, compares it with the standard value, and retrieves the adjustment plan from the experience database according to the deviation value, and participates in the issuance.

[0025] The adjustment method is to set the measured rail crown fullness as X; the standard rail crown fullness as X0; By sampling and measuring the specifications, it is determined whether the dimensional deviation Δ between the rail crown fullness X and the standard value X0 is greater than the control deviation Δ0. , needs to be adjusted.

[0026] Determine the adjustment Δ and Δ0, , determine the corresponding adjustment plan through the adjustment value.

[0027] The present invention extracts expert experience, converts rich practical operation experience into quantifiable data values, and provides accurate input parameters for the model. By using the expert knowledge data valuing method, combined with advanced solution optimization algorithms, an expert experience model is constructed and stored in the blockchain to achieve precise control of the rail crown fullness. It can recommend the specification control plan of the rail crown fullness in real time to ensure that the specification adjustment in the production process is timely and accurate. Through the integrated expert adjustment experience database and computer control system with the help of blockchain, the abnormal state of the online rail crown fullness is monitored and adjusted in real time to achieve deviation correction. Ensure that the rail crown fullness specification is always kept within the internal control standard range to improve product quality and production efficiency.

[0028] The present invention constructs an expert experience model based on blockchain. By using blockchain technology, data sharing between distributed entities (such as OEMs, service providers, railway bureaus, etc.) can be realized. A key data chain mechanism is provided to ensure that the data is fully shared while achieving system data security and traceability. It provides a basis for the analysis and evaluation of quality or operational issues, optimizes production processes and improves product quality. Through blockchain technology, expert experience and knowledge in historical production data can be effectively integrated and stored. Constructing an expert experience model makes decision-making in the production process more scientific, accurate and efficient. New employees quickly master production skills and improve overall production efficiency.

[0029] Real-time detection of rail crown fullness can timely discover abnormal conditions in the production process, such as excessive or insufficient rail crown fullness. Timely measures can be taken to make adjustments to avoid the production of defective products and improve product quality and production efficiency. Refined management and optimization of the production process. Adjust production parameters such as heating temperature and rolling process according to the test results to ensure that the rail crown fullness meets the standards. Reduce production costs and improve overall economic benefits.

[0030] The real-time correction of rail crown fullness is combined with automated production equipment to realize the automation and intelligence of the production process. It reduces manual intervention and misjudgment, improves production efficiency and accuracy, and provides strong support for future intelligent manufacturing and intelligent operation and maintenance.

[0031] In some embodiments, see Figure 1 , Figure 3 and Figure 6 In response to the deviation of the specification size of the rail crown fullness exceeding the first preset value, the step of adjusting the horizontal roll of the semi-universal rolling mill based on the expert experience model includes: In response to the deviation of the specification size of the rail crown fullness being less than a first preset value, adjusting the horizontal roll of the semi-universal rolling mill based on the first scheme of the expert experience model; In response to a deviation of a specification dimension of the rail crown fullness being greater than a first preset value, a second solution based on the expert experience model adjusts a horizontal roll of the semi-universal rolling mill.

[0032] The first preset value is 0.1 mm to 0.2 mm, the first solution is to increase it by 0.1 mm to 0.2 mm, and the second solution is to reduce it by 0.1 mm to 0.2 mm.

[0033] The adjustment range is the first preset value: 0.1mm~0.2mm (exceeding / under the standard): Adjusting roller: UF horizontal roller; Adjustment logic description: UF semi-universal mill is equipped with finished holes, which has the most obvious impact on the adjustment of specifications and dimensions, such as Figure 6 The UF horizontal roll downward pressure shown changes the specifications of the rolled product.

[0034] Impact of the adjustment scheme: During the rail production process, the downward pressure of the UF horizontal roller will cause the head metal to move toward the lateral centerline, while the rail waist metal will disperse to both sides. This flow effect will increase the fullness specification of the rail height and the rail crown, while reducing the width of the upper head width. Conversely, the release operation of the UF horizontal roller will produce the opposite effect of downward pressure, that is, reducing the fullness specification of the rail height and the rail crown, while increasing the width of the upper head width.

[0035] Adjustment plan: The specification is less than the standard lower limit, use the first solution: ① When the rail crown filling degree specification is less than the standard lower limit of 0.1mm, by adjusting the UF first pass horizontal roller to increase the roller gap by 0.1mm, the rail crown filling degree can be increased by 0.1mm, the head width can be increased by 0.1mm, and the rail height can be reduced by 0.1mm.

[0036] ② When the rail crown filling degree specification is less than the standard lower limit of 0.2mm, by adjusting the UF first pass horizontal roller to increase the roller gap by 0.2mm, the rail crown filling degree can be increased by 0.2mm, the head width can be increased by 0.2mm, and the rail can be reduced by 0.1mm.

[0037] If the specification exceeds the upper limit of the standard, use the second option: ① When the rail crown filling degree specification exceeds the standard upper limit by 0.1mm, by adjusting the UF first pass horizontal roller to reduce the roller gap by 0.1mm, the rail crown filling degree can be reduced by 0.1mm, the head width can be reduced by 0.1mm, and the rail height can be increased by 0.05mm.

[0038] ② When the rail crown filling degree specification exceeds the standard upper limit of 0.2mm, by adjusting the UF first pass horizontal roller to reduce the roller gap by 0.2mm, the rail crown filling degree can be reduced by 0.2mm, the head width can be reduced by 0.2mm, and the rail height can be increased by 0.1mm.

[0039] In some embodiments, see Figure 1 , Figure 3 and Figure 7 In response to the deviation of the specification size of the rail crown fullness exceeding the second preset value, the step of adjusting the horizontal rolls of the universal rolling mill and the semi-universal rolling mill based on the expert experience model includes: In response to the deviation of the specification size of the rail crown fullness being less than a second preset value, adjusting the horizontal rolls of the universal rolling mill and the semi-universal rolling mill based on the third scheme of the expert experience model; In response to the deviation of the specification size of the rail crown fullness being greater than a second preset value, the fourth scheme based on the expert experience model adjusts the horizontal rolls of the universal rolling mill and the semi-universal rolling mill.

[0040] The second preset value is 0.2mm~0.5mm, the third option is to increase 0.3mm~0.4mm, and the fourth option is to reduce 0.3mm~0.4mm.

[0041] Adjustment interval second preset value: 0.2mm~0.5mm (exceeding / under standard); Adjustment roller: UF horizontal roller, U2 horizontal roller; Adjustment logic description: For the case where the rail crown fullness specification is less than the standard, it is unreasonable to adjust UF alone, which will cause large fluctuations in the rolling force of the UF horizontal roller, seriously affecting the specifications such as head width and waist thickness. In addition, because the UF rolling mill is a semi-universal rolling mill without head vertical rollers, the head metal will come out from the center of the head and cause quality accidents. Therefore, a more reasonable adjustment idea is to adjust the UR2 head and E2 horizontal rollers to increase the head metal amount, increase the UF incoming metal, and intensify the mill's head metal processing of the rolled piece, such as Figure 7 The specification changes and impacts after the scheme adjustment are shown. If the rail crown fullness specification is lower than the standard, the adjustment idea is opposite to the adjustment if it exceeds the standard.

[0042] Impact of the adjustment plan: The roll gap value of the UR2 head vertical roll and the E2 horizontal roll is adjusted to change the head metal input of the UF rolling mill and affect the specifications of the rail height. Since the UF processing also changes the waist thickness, the above comprehensive adjustments effectively control the specifications of the rail crown fullness.

[0043] Adjustment plan: If the specification is less than the standard lower limit, use the third option: ① When the rail crown filling degree specification is less than the standard lower limit of 0.3mm, increase the gap of the first pass head vertical roller of UR2 by 0.2mm, increase the gap of the first pass horizontal roller of E2 by 0.2mm, and reduce the gap of the first pass horizontal roller of UF by 0.1mm, which can increase the rail crown filling degree by 0.3mm, increase the rail height by 0.3mm, and reduce the waist thickness by 0.1mm.

[0044] ② When the rail crown filling degree specification is less than the standard lower limit of 0.4mm, increase the gap of the head vertical roller of UR2 in the first pass by 0.3mm, increase the gap of the horizontal roller of E2 in the first pass by 0.3mm, and reduce the gap of the horizontal roller of UF in the first pass by 0.2mm. This can increase the rail crown filling degree by 0.4mm, increase the rail height by 0.5mm, and reduce the waist thickness by 0.2mm.

[0045] ③ When the rail crown filling degree specification is less than the standard lower limit of 0.5mm, increase the gap of the first pass head vertical roller of UR2 by 0.4mm, increase the gap of the first pass horizontal roller of E2 by 0.4mm, and reduce the gap of the first pass horizontal roller of UF by 0.2mm, which can increase the rail crown filling degree by 0.5mm, increase the rail height by 0.6mm, and reduce the waist thickness by 0.2mm.

[0046] ④ When the rail crown filling degree specification is less than the standard lower limit of 0.6mm, increase the gap of the first pass head vertical roller of UR2 by 0.5mm, increase the gap of the first pass horizontal roller of E2 by 0.5mm, and reduce the gap of the first pass horizontal roller of UF by 0.3mm, which can increase the rail crown filling degree by 0.6mm, increase the rail height by 0.7mm, and reduce the waist thickness by 0.3mm.

[0047] If the specification exceeds the upper limit of the standard, use the fourth option: ① When the rail crown filling degree specification exceeds the standard upper limit of 0.3mm, reduce the gap of the first pass head vertical roller of UR2 by 0.2mm, reduce the gap of the first pass horizontal roller of E2 by 0.2mm, and increase the gap of the first pass horizontal roller of UF by 0.1mm, which can reduce the rail crown filling degree by 0.3mm, reduce the rail height by 0.3mm, and increase the waist thickness by 0.1mm.

[0048] ② When the rail crown filling degree specification exceeds the standard upper limit of 0.4mm, reduce the gap of the head vertical roller of UR2 in the first pass by 0.3mm, reduce the gap of the horizontal roller of E2 in the first pass by 0.3mm, and increase the gap of the horizontal roller of UF in the first pass by 0.2mm, which can reduce the rail crown filling degree by 0.4mm, reduce the rail height by 0.5mm, and increase the waist thickness by 0.2mm.

[0049] ③ When the rail crown filling degree specification exceeds the standard upper limit of 0.5mm, reduce the gap of the head vertical roller of UR2 in the first pass by 0.4mm, reduce the gap of the horizontal roller of E2 in the first pass by 0.4mm, and increase the gap of the horizontal roller of UF in the first pass by 0.2mm, which can reduce the rail crown filling degree by 0.5mm, reduce the rail height by 0.6mm, and increase the waist thickness by 0.2mm.

[0050] ④ When the rail crown filling degree specification exceeds the standard upper limit of 0.6mm, reduce the gap of the head vertical roller of UR2 in the first pass by 0.5mm, reduce the gap of the horizontal roller of E2 in the first pass by 0.5mm, and increase the gap of the horizontal roller of UF in the first pass by 0.3mm, which can reduce the rail crown filling degree by 0.6mm, reduce the rail height by 0.7mm, and increase the waist thickness by 0.3mm.

[0051] In some embodiments, see Figure 1 , the steps of constructing an expert experience model based on blockchain include: Obtain expert experience and adjustment plans; Define the structure of smart contracts based on expert experience and deploy smart contracts on the blockchain network; The expert experience and adjustment plan are stored in the smart contract to obtain the expert experience model.

[0052] Blockchain technology, with its decentralized and tamper-proof characteristics, ensures the security and reliability of expert experience and adjustment plans stored in smart contracts. This avoids the risk of data being maliciously modified or deleted, and ensures the authenticity and integrity of the data.

[0053] By storing expert experience and adjustment plans on the blockchain in the form of smart contracts, this knowledge can be easily shared and quickly queried. This not only improves the decision-making efficiency in the production process, but also enables new employees to quickly master production skills and achieve effective knowledge inheritance.

[0054] Smart contracts can automatically perform corresponding operations according to preset conditions. When producing rails, when it is detected that parameters such as the fullness of the rail crown do not meet the standards, smart contracts can automatically trigger adjustment plans to achieve automated control of the production process. This reduces manual intervention and improves production efficiency and accuracy.

[0055] Through the automated execution of smart contracts and real-time data sharing, companies can promptly identify problems in the production process and take measures to adjust them, thereby avoiding the production of defective products and waste of resources. At the same time, the transparency of blockchain technology also reduces information asymmetry and trust costs between companies, promoting cooperation and win-win results.

[0056] In some embodiments, see Figure 1 , the step of acquiring expert experience includes: The historical rail crown filling specifications of each team are extracted from the historical data; Analyze the distribution of historical rail crown fullness specification size values, rank them according to the control effect of historical rail crown fullness specifications, and use the teams whose rankings exceed the threshold as expert knowledge; Expert experience is formed based on specification dimension value distribution and expert knowledge.

[0057] Through in-depth analysis of historical data, the relationship between the rail crown fullness specification and product quality and production efficiency can be revealed. This makes the decision-making process more scientific and reduces subjective assumptions and blindness. Introducing excellent performance teams as a source of expert knowledge ensures the reliability and effectiveness of expert experience. The adjustment strategy based on expert experience can more accurately determine the adjustment direction and value of the rail crown fullness. This reduces the number and cost of unnecessary adjustments and improves the efficiency and stability of the production process. By analyzing historical data and expert experience, problems and deficiencies in the production process can be continuously discovered. Promote continuous improvement and innovation, improve overall production efficiency and quality levels, and accurate rail crown fullness adjustment can ensure the consistency and stability of product quality and improve the overall quality and market competitiveness of products.

[0058] In some embodiments, see Figure 1 , the step of obtaining the adjustment plan includes: Determine the direction of adjustment and the corresponding adjustment value based on expert experience as the adjustment strategy; According to different size deviations, the adjustment strategies are classified and grouped to obtain corresponding adjustment plans.

[0059] The first solution includes at least 2 adjustment strategies, the second solution includes at least 2 adjustment strategies, the third solution includes at least 4 adjustment strategies, and the fourth solution includes at least 4 adjustment strategies.

[0060] Expert experience is usually based on long-term practice and research, and can provide more accurate and reliable adjustment directions. It avoids blind adjustments due to lack of professional knowledge and improves the accuracy of adjustments. Accurate adjustment strategies can reduce the number and cost of unnecessary adjustments, reduce production costs, and improve the economic benefits of enterprises.

[0061] In some embodiments, see Figure 1 The step of real-time detection of rail crown fullness comprises: Set the measurement range and accuracy for wireless track detection; Monitor the rail crown fullness in real time and record the real-time value of the rail crown fullness.

[0062] By setting a clear measurement range, the wireless track detection system can detect key areas of the track in a targeted manner. It avoids unnecessary comprehensive detection and improves detection efficiency. Setting accuracy requirements ensures the accuracy of the detection results.

[0063] The present invention proposes a system for adjusting the rail crown fullness of a rail. Figure 2 ,include: A construction unit 100 is configured to obtain historical data of rail production and construct an expert experience model based on blockchain; A detection unit 200, configured to detect rail crown fullness in real time; A first adjustment unit 300 is configured to adjust the horizontal roll of the semi-universal rolling mill based on the expert experience model in response to the deviation of the specification size of the rail crown fullness exceeding a first preset value; The second adjustment unit 400 is configured to adjust the horizontal rolls of the universal rolling mill and the semi-universal rolling mill based on the expert experience model in response to the deviation of the specification size of the rail crown fullness exceeding a second preset value.

[0064] The adjustment scheme constructed by the present invention is based on the expert experience of blockchain, and forms the optimal adjustment scheme for different deviations of rail crown fullness, which ensures stable rolling stability while improving the control accuracy of rail crown fullness, improves the timeliness of adjustment and the standardization of rolling adjustment, can not only solve the problem of low calculation efficiency of manual adjustment, but also avoid the errors caused by manual adjustment, and effectively reduces the fluctuations in product rail crown fullness specification control between work groups.

[0065] In one embodiment, see Figure 8 and Fig. 9 , the following takes the 60 heavy rail as an example to introduce the implementation of the plan: Get the rail specifications, such as Figure 8 As shown, it is determined whether the rail crown fullness specification of the rail needs to be adjusted.

[0066] Input sampling data, the rest of the specifications are in standard internal control, the rail crown filling degree needs to increase by 0.2mm, click calculate, generate a solution: press down the first pass of UF horizontal roller gap by 0.2mm, the impact value is: increase the rail crown filling degree by 0.2mm, reduce the head width by 0.2mm, increase the rail height by 0.1mm, and reduce the waist thickness by 0.3mm.

[0067] Send the model calculation plan, modify the actual roll gap value, and then sample the next roll. Fig. 9 shown.

[0068] Analysis of the sampled data after adjustment shows that the issued plan has obvious changes on the specifications of the rail crown filling degree, and the impact on the specifications of the rail crown filling degree is also in line with the trend of changes in the plan simulation.

[0069] The purpose of the present invention is to collect, summarize and unify manual adjustment experience, and realize adjustment with manual experience as the adjustment idea and computer model as the adjustment framework.

[0070] Data processing is performed on the difference increments between specifications to achieve automatic adjustment and increase the accuracy of automatic adjustment. The empirical formula modeling method is used to eliminate common interference and improve the control accuracy of the model automatic adjustment on rail specifications.

[0071] Feasibility of the present invention: The basis of the model is to unify the rolling adjustment experience of mature products, take the essence and remove the dross, and finally form a mature product rolling adjustment plan with high efficiency, high requirements and high precision. Such a plan is used as the core to substitute into the computer model to realize automatic adjustment, and an automatic test is carried out in the second line of the rail beam factory. The test results show that the feasibility of the adjustment plan reaches 98.74%, and the success rate of adjustment is 99.87%.

[0072] Prospects of the invention: In steel and vanadium rail beam factories, there is a wealth of experience in manual adjustment of mature products, so more high-efficiency, high-demand, and high-precision rolling adjustment schemes can be formed. This can not only improve rolling efficiency and rolling precision, but also save time costs and reduce production costs.

[0073] In summary, the present invention realizes the automatic and intelligent adjustment of the rail crown fullness by combining expert experience with advanced algorithms, thereby improving the accuracy and stability of rail production.

[0074] Based on the same inventive concept, according to another aspect of the present invention, Fig.10 As shown, an embodiment of the present invention further provides a computer device 30, which includes a processor 310 and a memory 320. The memory 320 stores a computer program 321 that can be run on the processor. When the processor 310 executes the program, the steps of the above method are performed.

[0075] Based on the same inventive concept, according to another aspect of the present invention, Fig.11 As shown, an embodiment of the present invention further provides a computer-readable storage medium 40, which stores a computer program 410 for executing the above method when executed by a processor.

[0076] The embodiment of the present invention may also include a corresponding computer device. The computer device includes a memory, at least one processor, and a computer program stored in the memory and executable on the processor, and the processor executes any one of the above methods when executing the program.

[0077] The memory, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as program instructions / modules in the embodiments of the present application. The processor executes various functional applications and data processing of the device by running the non-volatile software programs, instructions and modules stored in the memory, that is, implementing the above method.

[0078] The memory may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the device, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In an embodiment, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the local module via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0079] Finally, it should be noted that a person skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium of the program can be a disk, an optical disk, a read-only storage memory (ROM) or a random access memory (RAM), etc. The above-mentioned computer program embodiments can achieve the same or similar effects as the corresponding above-mentioned arbitrary method embodiments.

[0080] It will also be appreciated by those skilled in the art that various exemplary logic blocks, modules, circuits and algorithm steps described in conjunction with the disclosure herein can be implemented as electronic hardware, computer software or a combination of the two. In order to clearly illustrate this interchangeability of hardware and software, a general description has been given to the functions of various schematic components, blocks, modules, circuits and steps. Whether this function is implemented as software or hardware depends on specific applications and the design constraints imposed on the entire system. Those skilled in the art can implement the function in various ways for each specific application, but this implementation decision should not be interpreted as causing a departure from the disclosed scope of the embodiments of the present invention.

[0081] The above are exemplary embodiments disclosed in the present invention, but it should be noted that various changes and modifications may be made without departing from the scope of the embodiments disclosed in the present invention as defined in the claims. The functions, steps and / or actions of the method claims according to the disclosed embodiments described herein do not need to be performed in any particular order. The serial numbers of the embodiments disclosed in the above embodiments of the present invention are for description only and do not represent the advantages and disadvantages of the embodiments. In addition, although the elements disclosed in the embodiments of the present invention may be described or required in individual form, they may also be understood as multiple unless explicitly limited to the singular.

[0082] It should be understood that, as used herein, the singular forms "a", "an" are intended to include the plural forms as well, unless the context clearly supports an exception. It should also be understood that, as used herein, "and / or" refers to any and all possible combinations including one or more of the associated listed items.

[0083] A person skilled in the art should understand that the discussion of any of the above embodiments is only exemplary and is not intended to imply that the scope of the disclosure of the embodiments of the present invention (including the claims) is limited to these examples; under the concept of the embodiments of the present invention, the technical features in the above embodiments or different embodiments can also be combined, and there are many other changes in different aspects of the above embodiments of the present invention, which are not provided in detail for the sake of simplicity. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiments of the present invention should be included in the protection scope of the embodiments of the present invention.

Claims

1. A method for adjusting the rail crown fullness of a rail, characterized in that: include: Obtain historical data on rail production and build an expert experience model based on blockchain; Real-time detection of rail crown fullness; In response to a deviation of a specification dimension of the rail crown fullness exceeding a first preset value, adjusting a horizontal roll of the semi-universal rolling mill based on the expert experience model; In response to the deviation of the specification size of the rail crown fullness exceeding the second preset value, the horizontal rolls of the universal rolling mill and the semi-universal rolling mill are adjusted based on the expert experience model.

2. A method for adjusting the rail crown fullness of a rail according to claim 1, characterized in that: In response to the deviation of the specification size of the rail crown fullness exceeding the first preset value, the step of adjusting the horizontal roll of the semi-universal rolling mill based on the expert experience model includes: In response to the deviation of the specification size of the rail crown fullness being less than a first preset value, adjusting the horizontal roll of the semi-universal rolling mill based on the first scheme of the expert experience model; In response to a deviation of a specification dimension of the rail crown fullness being greater than a first preset value, a second solution based on the expert experience model adjusts a horizontal roll of the semi-universal rolling mill.

3. The method for adjusting the rail crown fullness of a rail according to claim 1, characterized in that: In response to the deviation of the specification size of the rail crown fullness exceeding the second preset value, the step of adjusting the horizontal rolls of the universal rolling mill and the semi-universal rolling mill based on the expert experience model includes: In response to the deviation of the specification size of the rail crown fullness being less than a second preset value, adjusting the horizontal rolls of the universal rolling mill and the semi-universal rolling mill based on the third scheme of the expert experience model; In response to the deviation of the specification size of the rail crown fullness being greater than a second preset value, the fourth scheme based on the expert experience model adjusts the horizontal rolls of the universal rolling mill and the semi-universal rolling mill.

4. The method for adjusting the rail crown fullness of a rail according to claim 1, characterized in that: The steps of constructing an expert experience model based on blockchain include: Obtain expert experience and adjustment plans; Define the structure of smart contracts based on expert experience and deploy smart contracts on the blockchain network; The expert experience and adjustment plan are stored in the smart contract to obtain the expert experience model.

5. The method for adjusting the rail crown fullness of a rail according to claim 4, characterized in that: The steps of obtaining expert experience include: The historical rail crown filling specifications of each team are extracted from the historical data; Analyze the distribution of historical rail crown fullness specification size values, rank them according to the control effect of historical rail crown fullness specifications, and use the teams whose rankings exceed the threshold as expert knowledge; Expert experience is formed based on specification dimension value distribution and expert knowledge.

6. A method for adjusting the rail crown fullness of a rail according to claim 5, characterized in that: The step of obtaining the adjustment plan includes: Determine the direction of adjustment and the corresponding adjustment value based on expert experience as the adjustment strategy; According to different size deviations, the adjustment strategies are classified and grouped to obtain corresponding adjustment plans.

7. The method for adjusting the rail crown fullness of a rail according to claim 1, characterized in that: The step of real-time detection of rail crown fullness comprises: Set the measurement range and accuracy for wireless track detection; Monitor the rail crown fullness in real time and record the real-time value of the rail crown fullness.

8. A system for adjusting the rail crown fullness of a rail, characterized in that: include: A construction unit configured to obtain historical data of rail production and construct an expert experience model based on blockchain; A detection unit configured to detect rail crown fullness in real time; A first adjustment unit, configured to adjust a horizontal roll of the semi-universal rolling mill based on the expert experience model in response to a deviation of a specification size of the rail crown fullness exceeding a first preset value; The second adjustment unit is configured to adjust the horizontal rolls of the universal rolling mill and the semi-universal rolling mill based on the expert experience model in response to the deviation of the specification size of the rail crown fullness exceeding a second preset value.

9. A computer device comprising: at least one processor; and a memory storing a computer program executable on the processor, wherein the processor executes the steps of a method for adjusting the rail crown fullness of a rail as claimed in any one of claims 1 to 7 when executing the program.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for adjusting the rail crown fullness of a rail as claimed in any one of claims 1 to 7 are performed.

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