A hot rolling roll grinding priority sorting and early warning method

Abstract

The present invention belongs to the field of intelligent management and control of hot rolling mill production, and relates to a hot rolling mill grinding priority sorting and early warning method. The method utilizes a grinder state evaluation model, a roller comprehensive evaluation model, and a roll grinding early warning model, and comprehensively calculates and scores different types of rolls to be ground in the roll grinding room, and assigns them to grinders with high corresponding state values ​​for priority grinding; through analysis and judgment of future rolling plans, combined with current turnover roll state information, according to the calculation of the roll grinding early warning model, different types of roll grinding guidance suggestions are provided. The beneficial effects of the present invention are: the method improves the work efficiency of the operation and management of the grinder in the roll grinding room, makes decisions on behalf of management personnel, greatly reduces the work difficulty of management and operation personnel, effectively avoids the situation where unreasonable roll grinding affects the smooth production of the rolling line, and helps to improve the technical strength and operating efficiency of steel enterprises.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent production control of hot rolling mills, and in particular relates to a hot rolling mill grinding priority sorting and early warning method. Background Art

[0002] With the rapid development of the steel industry, homogeneous competition is becoming increasingly serious. Steel companies must improve efficiency and reduce costs through technological innovation. The grinding roll shop is responsible for providing rolls for the rolling line. The speed of the grinding process and the reasonable grinding plan directly affect the efficiency and cost of the company. However, there are many unreasonable aspects in the current hot rolling roll grinding system:

[0003] (1) The grinding arrangement of the grinder is usually arranged and issued by the grinder operator on duty that day, and the grinding is randomly selected by the grinder operators for grinding, resulting in low grinding efficiency;

[0004] (2) The operator cannot monitor the dynamic changes of the global rolls in real time, and it is difficult to reasonably arrange the current grinding plan according to the number and status of spare rolls in different stands;

[0005] (3) The future rolling plan has requirements for the number of times the rolls are put on the machine and the surface quality. The grinding operator cannot obtain the requirements for the rolls in the future rolling plan. It is very easy for the rolls with qualified quality to be put on the line when the new rolling plan is implemented, which seriously affects the production efficiency and production quality.

[0006] There are also relevant literature on roll shop grinding plan management:

[0007] Reference 1 (Zhang Fan. Design and implementation of rolling process data management system for rolling mill rolls [D]. Northeastern University, 2012) mainly designs the grinding data management module of the cold rolling mill roll shop, which manually arranges the grinding plan and can perform operations such as query, modification and skipping to realize the management of grinding data.

[0008] Reference 2 (Luo Chengbo. Design and Application of Roller Management System in Steel Industry [C]. The Second Forum on Intelligent Manufacturing Development in Steel Industry, 2019) issues grinding plans according to the needs of the grinder, and receives grinding data through communication to realize roll grinding management.

[0009] The above arrangement of grinding plan is still in the manual arrangement, and fails to comprehensively consider multiple factors to realize intelligent decision-making. Therefore, it is necessary to establish a hot rolling roll grinding priority sorting and early warning method, monitor the dynamic changes of rolls in real time on the grinding roll room management system, and reasonably arrange the priority of rolls to be ground according to future rolling plans, and provide rack early warning information in time to avoid waiting for roll grinding or unreasonable rolls on the machine affecting production, so as to ensure smooth production. Summary of the invention

[0010] The purpose of the invention is to propose a hot rolling roll grinding priority sorting and early warning method, establish a grinder state evaluation model, a high-speed steel roll comprehensive evaluation model, a common roll comprehensive evaluation model and a roll grinding early warning model, and point out the calculation method of each index of the model, the final sorting rules and early warning conditions, which can effectively avoid the situation where unreasonable roll grinding affects smooth production, and has important guiding significance for roll grinding work.

[0011] In order to solve the above technical problems, the technical solution of the present invention is: a hot rolling roll grinding priority sorting and early warning method, comprising the following steps:

[0012] S1) collecting detailed data of future rolling plan and real-time status information data of all turnover rolls in the grinding roll shop management system, and substituting the real-time status information data of all rolls to be ground into the grinding machine state evaluation model, calculating the grinding machine state value, and allocating the rolls off the machine to the grinding machine with the high grinding machine state value for grinding;

[0013] S2) calculating the comprehensive scores of the rolls to be ground on each grinding machine according to the comprehensive evaluation model of the rolls, and arranging the rolls to be ground on each grinding machine in order of priority from high to low according to the scores;

[0014] S3) Substitute the detailed data of the future rolling plan and the real-time status information data of the turnover rolls collected in S1) into the roll grinding early warning model to obtain the early warning value of the rolls to be ground by each grinder, and determine whether to adjust the priority sorting of the grinders in S2) or issue an early warning message based on the early warning value.

[0015] Furthermore, the roller room management system in S1) realizes data collection and management through the information management subsystem, and realizes auxiliary decision-making through intelligent push, so that the traditional production management mode has initiative and intelligence.

[0016] Furthermore, the status information of the turnover rolls in S1) includes status information of rolls to be ground, rolls to be put on the machine, rolls taken off the machine normally, and rolls taken off the machine due to accidents.

[0017] Further, the grinding machine state assessment model in S1) is:

[0018]

[0019] Where S is the state value score of the grinder; α i is the state value of the i-th accident roller on the grinder, n is the number of accident rollers, and the value range of n is a positive integer greater than 0; N is the number of normal rolls waiting to be ground on the grinder, and the value range of N is a positive integer greater than 0.

[0020] Furthermore, the comprehensive evaluation model for the rolling mill rolls in S2 includes a comprehensive evaluation model for high-speed steel rolling mill rolls and a comprehensive evaluation model for common rolling mill rolls.

[0021] Furthermore, the comprehensive evaluation model of high-speed steel roll is:

[0022]

[0023] In the formula, Score HSS is the comprehensive score of the high-speed steel roll to be ground; γ is the influencing factor of the reason for the roll to be removed from the machine, and the values ​​of γ are 0, 0.3, 0.7 and 1; if the roll is removed from the machine normally, γ is 1; if the roll is removed from the machine due to a bearing seat accident, γ is 0.7; if the roll is removed from the machine due to an accident of the roll itself, γ is 0.3; if the roll is removed from the machine due to a rolling line process accident, γ is 0; k1, k2, k3, k4 are the number of times the roll is removed from the machine, N r , A is the rating value of the oxide film of the roll, and the number of rolls to be put on the machine on the rack N s and the diameter difference of the paired rolls (D TOP -D BOT ), where the value of the weight is calculated and determined using the hierarchical analysis method.

[0024] Furthermore, the general roller comprehensive evaluation model is:

[0025]

[0026] In the formula, Score0 is the comprehensive score of the ordinary roll to be ground, N0 and N s They respectively represent the number of rotating rolls and the number of rolls to be put on the machine in the stand where the roll is located, k0 represents the weight, and the value of k0 weight is determined according to the ratio of the average grinding time of the finishing working roll to the average grinding time of different types of rolls.

[0027] Further, the specific steps of S3) are:

[0028] S3.1) Substituting the future rolling plan detailed data collected in S1) and the real-time status information data of all turnover rolls into the grinding early warning model to obtain the early warning values ​​of all rolls to be ground;

[0029] S3.2) According to the warning value of the rolls to be ground of each grinder, set conditions for comparison to determine whether the rolls to be ground of the grinder need warning, if necessary, execute S3.3), if not, end;

[0030] S3.3) Adjust the grinding priority of the grinder and issue a warning message according to the warning level.

[0031] Further, the grinding warning model in S3.1) is:

[0032]

[0033] In the formula, x is the roll type, y is the rack number, warning xy is the warning value of the x-type roller of the y-th stand, N xy is the current number of white rollers of type x in the y-th stand, C j is the jth rolling plan level, p is the number of future rolling plans, and β is the selection coefficient.

[0034] Further, the setting conditions in S3.2) are:

[0035] When warning up ≤warning xy , then no warning is needed;

[0036] When warning low ≤warning xy <warning up , it is a mild warning;

[0037] When warning xy <warning low , it is a severe warning.

[0038] A server includes a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the above method.

[0039] A computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above method.

[0040] By real-time monitoring of the dynamic changes of the roll status information, according to the warning value and warning level calculated by the roll grinding warning model, when there is no warning level, the roller shop management system has no prompt message and proceeds according to the normal grinding plan; when the warning level is mild, the x-type roll to be ground on the y-th frame in the grinding management interface of the system is adjusted to priority grinding, prompting the grinder operator to grind immediately; when the warning level is severe, the system prompts a warning message, and the grinder operator can call the idle universal grinder for grinding. If it is a high-speed steel roll, the system prompts grinding guidance suggestions.

[0041] The beneficial effects of the present invention are as follows: 1. Real-time acquisition of status information of circulating rolls and details of future rolling plans, and arrangement of grinding priorities of rolls to be ground according to comprehensive scores of rolls to be ground of different roll types and different stands, thereby effectively avoiding the situation where unreasonable grinding plans of rolls affect smooth production of rolling lines; 2. Improvement of work efficiency of operation and management of grinders in the grinding roll room, making decisions on behalf of management personnel, and greatly reducing the work difficulty of management and operation personnel; 3. Real-time monitoring of dynamic changes of rolls, timely provision of early warning information of different roll types and different stands, and provision of grinding guidance suggestions according to early warning levels to ensure smooth operation of rolling lines. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 The present invention is a schematic flow chart of a hot rolling roll grinding priority sorting and early warning method. DETAILED DESCRIPTION

[0043] In order to make the purpose, technical solution and advantages of the implementation case of the present invention clearer, the technical solution in the implementation case of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention.

[0044] like Figure 1 As shown, the present invention provides a hot rolling roll grinding priority sorting and early warning method, comprising the following steps:

[0045] S1) collecting detailed data of future rolling plan and real-time status information data of all turnover rolls in the grinding roll shop management system, and substituting the real-time status information data of all rolls to be ground into the grinding machine state evaluation model, calculating the grinding machine state value, and allocating the rolls off the machine to the grinding machine with the high grinding machine state value for grinding;

[0046] S2) calculating the comprehensive scores of the rolls to be ground on each grinding machine according to the comprehensive evaluation model of the rolls, and arranging the rolls to be ground on each grinding machine in order of priority from high to low according to the scores;

[0047] S3) Substitute the detailed data of the future rolling plan and the real-time status information data of the turnover rolls collected in S1) into the roll grinding early warning model to obtain the early warning value of the rolls to be ground by each grinder, and determine whether to adjust the priority sorting of the grinders in S2) or issue an early warning message based on the early warning value.

[0048] The grinding machine state assessment model in S1) is:

[0049]

[0050] Where S is the state value score of the grinder; α i is the state value of the i-th accident roller on the grinder, n is the number of accident rollers, and the value range of n is a positive integer greater than 0; N is the number of normal rolls waiting to be ground on the grinder, and the value range of N is a positive integer greater than 0.

[0051] The comprehensive evaluation model for the rolling mill rolls in S2 includes a comprehensive evaluation model for high-speed steel rolling mill rolls and a comprehensive evaluation model for ordinary rolling mill rolls.

[0052] The comprehensive evaluation model of high-speed steel roll is:

[0053]

[0054] In the formula, Score HSS is the comprehensive score of the high-speed steel roll to be ground; γ is the influencing factor of the reason for the machine being removed from the machine, and the values ​​of γ are 0, 0.3, 0.7 and 1;

[0055] k1, k2, k3, k4 are the number of times the roller is put on the machine N r , A is the rating value of the oxide film of the roll, and the number of rolls to be put on the machine on the rack N s and the diameter difference of the paired rolls (D TOP -D BOT ), where the value of the weight is calculated and determined using the hierarchical analysis method.

[0056] The general roller comprehensive evaluation model is:

[0057]

[0058] In the formula, Score0 is the comprehensive score of the ordinary roll to be ground, N0 and N s They respectively represent the number of rotating rolls and the number of rolls to be put on the machine in the stand where the roll is located, k0 represents the weight, and the value of k0 weight is determined according to the ratio of the average grinding time of the finishing working roll to the average grinding time of different types of rolls.

[0059] The specific steps of S3) are:

[0060] S3.1) Substituting the future rolling plan detailed data collected in S1) and the real-time status information data of all turnover rolls into the grinding early warning model to obtain the early warning values ​​of all rolls to be ground;

[0061] S3.2) According to the warning value of the rolls to be ground of each grinder, set conditions for comparison to determine whether the rolls to be ground of the grinder need warning, if necessary, execute S3,3), if not, end;

[0062] S3.3) Adjust the grinding priority of the grinder and issue a warning message according to the warning level.

[0063] The grinding warning model in S3.1) is:

[0064]

[0065] In the formula, x is the roll type, y is the rack number, warning xy is the warning value of the x-type roller of the y-th stand, N xy is the current number of white rollers of type x in the y-th stand, C j is the jth rolling plan level, p is the number of future rolling plans, and β is the selection coefficient.

[0066] The setting conditions in S3.2) are:

[0067] When warning up ≤warning xy , then no warning is needed;

[0068] When warning low ≤warning xy <warning up , it is a mild warning;

[0069] When warning xy <warning low , it is a severe warning.

[0070] A server includes a processor and a memory, wherein the memory stores computer executable instructions that can be executed by the processor, and the processor executes the computer executable instructions to implement the above method.

[0071] A computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above method.

[0072] Example:

[0073] This embodiment, based on the theory of system engineering, establishes a multi-parameter evaluation system for different types of rollers to be ground, calculates scores based on the model, gives the current optimal arrangement of grinding rollers, monitors the status information of turnover rollers in real time, and judges the warning level based on the warning value calculated by the roller grinding warning model, and gives warning signals in time to ensure smooth production. The turnover roller information is connected to the grinder industrial computer through Ethernet, and the roller information is obtained by collecting the archived data of the grinder, and the turnover status is automatically updated according to the status flow information; the rolling plan information is issued by the MES system. The above data are all stored in the grinding roller room management system, which contains three servers, namely the DATAS data integration server, the IRPS production analysis server and the WEB-Server server. The specific implementation process takes the production operation of the grinding roller room of a steel plant as an example:

[0074] (1) The hot rolling mill of the steel plant has two universal roll grinders and four work roll grinders. The F1-F4 finishing work rolls on the hot rolling production line use high-speed steel rolls, and the F5-F7 finishing work rolls use infinitely cold hardened rolls. The current grinding arrangement of the grinders is as shown in Table 1:

[0075] Table 1 Roller grinding schedule

[0076]

[0077] For grinding rolls, especially finishing work rolls, reasonable grinder allocation is required to ensure that grinding is arranged as soon as possible. Therefore, a grinder status assessment model is established for the grinder:

[0078]

[0079] Among them, S represents the status value score of the grinder, α i represents the state value of the i-th accidental roll on the grinding machine, n represents the number of accidental rolls, and N represents the number of normal rolls waiting to be ground on the grinding machine;

[0080] Taking the 4# working roll grinder as an example, the grinder mainly grinds F1-F4 high-speed steel rolls. The causes of accident rolls and the average grinding time on the 4# grinder in the past year were collected. According to the type of accident, it is mainly divided into three categories: bearing seat accident, roll accident and rolling line accident. The accident roll state value α is calculated according to the following formula:

[0081]

[0082] Among them, T1 refers to the average grinding time (min) of the high-speed steel accident roll of the 4# grinder, and T2 refers to the average grinding time (min) of the high-speed steel roll of the 4# grinder that is normally off the machine;

[0083] The calculated status values ​​of three different types of accident rollers on the 4# grinder are:

[0084] Table 2 Accident roller status values

[0085]

[0086] The roll information to be ground by the 4# grinder is obtained as shown in Table 3:

[0087] Table 3 Information of rolls to be ground on 4# grinder

[0088]

[0089] According to the information of the rolls to be ground of the current 4# grinder, it can be determined that the number of accident rolls n=2, the accident types are all roll accident shutdowns, and the number of rolls to be ground normally shutdowns N=8, so the current state value S of the 4# grinder is calculated as:

[0090] S=-11.9

[0091] The status value of each grinder is calculated in turn, and the newly unloaded rolls are preferentially assigned to the grinder with a higher grinder status value for grinding.

[0092] (2) Establish a comprehensive evaluation model for the high-speed steel rolls to be ground on the 4# grinder:

[0093]

[0094] In order to fully consider the influence of various factors on the high-speed steel roll scoring and avoid excessive subjectivity and uncertainty, the hierarchical analysis method is used to determine the weights k1, k2, k3, and k4.

[0095] In this example, the hierarchical analysis method can be used to quickly establish the relative scales between the four factors, and perform hierarchical single sorting and consistency testing. The algorithm steps are as follows:

[0096] 1) Establish a hierarchical model:

[0097] Target layer: roll grinding;

[0098] Criteria layer: Number of times the roller is put on the machine N r / Oxide film rating A / Number of rolls to be put on the machine on the stand N s / Difference in diameter of paired rollers (D TOP -D BOT );

[0099] Solution layer: The optimal grinding solution is given from high to low based on the comprehensive score calculation.

[0100] The target layer refers to the problem to be solved. The comprehensive score of each roller is calculated based on all influencing factors and criteria, and the current optimal grinding solution is given.

[0101] 2) Construct a judgment matrix:

[0102] Establish a judgment matrix:

[0103]

[0104] Where m refers to the number of influencing factors in the criterion layer, m = 4; a ij It refers to the importance of the i-th factor relative to the j-th factor compared with the two factors. It is easy to get that the judgment value of the j-th element relative to the i-th element is:

[0105]

[0106] According to the comparison results of their importance, they are quantified according to the scale table in Table 4:

[0107] Table 4 Ratio scale table

[0108]

[0109] According to the experts' evaluation of the importance of two factors, the final judgment matrix Q is constructed as follows:

[0110]

[0111] 3) Hierarchical single sorting and consistency check:

[0112] Hierarchical single sorting is the process of determining the degree of influence of a factor at this level on a factor at the upper level, which can be summarized as calculating the maximum eigenvalue λ of the judgment matrix Q max and its corresponding normalized eigenvector, W i =[w1 w2 ... w m ] T , the calculation steps are as follows:

[0113] Calculate the product and sum of the elements in each row of the judgment matrix Q and record it as M i :

[0114]

[0115] The calculated sum of products for each row is: [0.086 8.333 189 0.007] T ,

[0116] Calculate M i The mth root of

[0117]

[0118] Calculate the mth root of the product of each row is: [0.541 1.699 3.708 0.293] T ,

[0119] Will Standardization is denoted by W i :

[0120]

[0121] Calculate the maximum eigenvalue λ of the judgment matrix Q max The corresponding normalized eigenvector W is:

[0122] W = [0.087 0.272 0.549 0.047] T

[0123] Maximum eigenvalue λ max for:

[0124]

[0125] Among them, (QW) i represents the i-th component of QW, W i represents the i-th component of W, with the largest eigenvalue λ max The calculation result is: max =4.175

[0126] To confirm the result of hierarchical single sorting, it is necessary to perform consistency check on the judgment matrix, that is, to determine the allowable range of inconsistency of the judgment matrix Q. When the consistency check is satisfied, the normalized eigenvector W = [w1 w2 … w m ] T It is the weight of each evaluation factor to the overall goal.

[0127] According to the calculated maximum eigenvalue λ max And its corresponding normalized eigenvector W, perform consistency check on the judgment matrix Q:

[0128] Calculate the consistency index CI:

[0129]

[0130] In order to avoid the consistency index CI being caused by random reasons, the average random consistency index RI is introduced as a reference. The standard value of RI is as shown in Table 5:

[0131] Table 5 Average random consistency index RI standard value

[0132]

[0133] In this example, the order of the judgment matrix is ​​4, so RI=0.90 RI=0.90.

[0134] Compare CI with RI to get the consistency ratio CR, and perform the consistency test of the matrix:

[0135]

[0136] Therefore, it can be concluded that the judgment matrix Q has satisfactory consistency. If the judgment matrix Q fails the consistency test, the judgment matrix Q is adjusted according to the relative importance of each evaluation factor, and the matrix is ​​re-tested for consistency until it is satisfied.

[0137] Therefore, the weight of each factor is: k i =w i ,

[0138] Substituting the weight into the formula we get:

[0139]

[0140] According to the reasons for roll downtime and the degree of impact on the production line, the impact factor γ of the roll downtime is formulated by experts, and the values ​​are shown in Table 6:

[0141] Table 6 Influencing factors of reasons for disembarkation

[0142]

[0143] As shown in Table 3 above, the information of the high-speed steel rolls to be ground on the 4# grinder is obtained, and the comprehensive score of all the high-speed steel rolls to be ground on the current 4# grinder can be calculated. HSs , considering that the working rolls are usually ground in pairs to avoid measurement errors, the push results are pushed according to the priority of the paired rolls. After the high-speed steel roll grinding with a higher score is completed, its paired roll is pushed for grinding. The final grinding priority results are shown in Table 7:

[0144] Table 74# Grinding priority of rolls to be ground by grinding machine

[0145] <![CDATA[Upper roller Roller number]]> <![CDATA[High Speed Steel Score HSS > <![CDATA[Lower roller Roller No.]]> <![CDATA[High-speed steel scoring Score HSS > Priority Order FW10110 -0.495 FW10109 -0.495 1 FW10106 -1.075 FW10105 -0.803 2 FW10142 -1.048 FW10141 -1.320 3 FW00413 -2.341 FW00409 -2.613 4 FW10150 -2.348 FW10149 -2.62 5

[0146] (3) A comprehensive evaluation model for the rolls of the hot rolling production line, except for the high-speed steel rolls, is established:

[0147]

[0148] Score0 represents the comprehensive score of the ordinary roll to be ground, N0 and N s They respectively represent the number of rotating rolls and the number of rolls to be put on the machine in the stand where the roll is located, and k0 represents the weight.

[0149]

[0150] Among them, T3 refers to the average grinding time (min) of ordinary material finishing work rolls, and T4 refers to the average grinding time (min) of different types of rolls on this grinder;

[0151] Taking the 1# grinder as an example, since the types of rolls ground by different grinders in the hot rolling mill are different, the average grinding time of different roll types under all grinders in the past year is collected. According to the calculation formula of the weight k0 above, the calculation results are shown in Table 8 below:

[0152] Table 8 Weights of different roll types

[0153]

[0154] Get the number of turnover rolls N0 and the number of rolls to be put on the machine of the rack where the rolls to be ground on the 1# grinder are located respectively sAt this time, the information collected by the 1# grinder to be ground is as follows in Table 9:

[0155] Table 9 Information of rolls to be ground on 1# grinder

[0156]

[0157]

[0158] Currently, the 1# grinder is a universal grinder, which mainly grinds the finishing / roughing support rolls. The roll information to be ground is brought into the general roll comprehensive evaluation model for calculation. The priority is sorted from high to low according to the calculation results. The final priority ranking is shown in Table 10:

[0159] Table 10 Grinding priority of rolls to be ground on 1# grinder

[0160]

[0161] (4) Establishing roll grinding early warning model:

[0162]

[0163] Where x represents the roll type, y represents the rack number, warning xy Represents the warning value of the x-type roller of the y-th stand, N xy Represents the current number of white rollers of type x in the y-th stand, C j represents the jth rolling plan level, p represents the number of future rolling plans, and β represents the selection coefficient.

[0164] For the hot rolling production line of this steel plant, the working rolls of the F1-F4 stands are high-speed steel rolls, which can be used multiple times. The other types of rolls are ground immediately after leaving the machine. The rolling plan grade is crucial to the selection of high-speed steel rolls. Therefore, the value of the selection coefficient β is as shown in Table 11:

[0165] Table 11 Selection coefficient

[0166]

[0167] The importance of the rolling plan is determined according to the strength classification and usage classification of the hot rolling production line products. The more important the rolling plan is, the higher the level is, and the higher the quality requirements for the rolls are. According to the importance of the rolling plan, the production manager divides the rolling plan level C into the following categories:

[0168] Table 12 Rolling plan grades

[0169]

[0170] According to the actual number of spare rolls of each roll type in the hot rolling production line, combined with the daily production rolling plan of the production line, in order to ensure that the number of spare rolls for each stand does not affect the production plan, the roll administrator establishes the corresponding warning value classification interval according to production experience as shown in Table 13:

[0171] Table 13 Warning value classification interval

[0172]

[0173]

[0174] Among them, warning up The upper limit warning score of the roll grinding warning value, warning low It is the lower limit warning score of the roll grinding warning value.

[0175] The roll grinding early warning model obtains the status information of all turnover rolls in the current production line and the details of the unrolled plan in real time, and calculates the warning value according to the model. xy and the warning level to determine whether there is a rack white roller quantity N xy In the event that future rolling requirements cannot be met, grinding guidance suggestions can be given in a timely manner in the roll shop management system based on the warning levels of different types of rolls to ensure the smooth progress of future production tasks.

[0176] Taking the steel plant's production on that day as an example, based on the analysis and judgment of the unrolled plans stored in the roller shop management system, the future rolling plan quantity p and the corresponding rolling plan level C are determined as follows:

[0177] Table 14 Unrolled plan number and corresponding grade

[0178]

[0179] Taking the 4# grinder as an example, the information of the current rolls to be ground is shown in Table 3 above. It can be seen that the types of rolls to be ground are all high-speed steel rolls, so β=1. The current warning values ​​of each high-speed steel roll are calculated as shown in Table 15 below:

[0180] Table 15 Warning values ​​of rolls to be ground

[0181]

[0182] From the perspective of the level of future rolling plans, there are important rolling plans with high quality requirements for high-speed steel rolls. According to the calculation of the roll warning model, there is no warning information for F1 and F2 stands, indicating that the current number of white rollers can meet the requirements for the arrangement of future rolling plans, while the high-speed steel finishing work rolls of F3 and F4 stands have reached a mild warning. Therefore, the system will change the grinding priority sorting made in Table 7, and adjust FW10105 / FW10104 to priority grinding, followed by grinding FW10142 / FW10142, to prioritize the F3 and F4 stand work rolls to meet the requirements of future rolling plans.

[0183] In summary, the specific implementation process of the present invention is described in detail, and the parameter values ​​of the constructed model are given according to the current management status of the roller room of a hot rolling production line in a steel plant. The actual on-site application of the invention improves the work efficiency of the grinder operation in the roller room, greatly reduces the operating difficulty of the operator, and effectively avoids the situation where unreasonable roller grinding affects the smooth production of the rolling line. After the invention was applied to the on-site roller room management system, the incidence rate of affecting the production of the rolling line due to unreasonable grinding was 0%, the success rate of the grinding priority sorting push of the grinder was 99.72%, and the labor productivity of the roller room operators increased by 15%, effectively improving the technical strength and operating efficiency of the steel enterprise.

[0184] The above-mentioned embodiments are only illustrative of the principles and effects of the invention, as well as some embodiments of its application, and are not intended to limit the invention. It should be pointed out that a person skilled in the art can make several modifications and improvements without departing from the creative concept of the invention, and these all fall within the scope of protection of the invention.

Claims

1. A hot rolling roll grinding priority sorting and early warning method, characterized in that: The following steps are involved: S1) collecting detailed data of future rolling plan and real-time status information data of all turnover rolls in the grinding roll shop management system, and substituting the real-time status information data of all rolls to be ground into the grinding machine state evaluation model, calculating the grinding machine state value, and allocating the rolls off the machine to the grinding machine with the high grinding machine state value for grinding; The grinding machine condition assessment model is: Where S is the state value score of the grinder; α i is the state value of the i-th accident roller on the grinding machine, n is the number of accident rollers, and the value range of n is a positive integer greater than 0; N is the number of normal rolls waiting to be ground on the grinding machine, and the value range of N is a positive integer greater than 0; S2) calculating the comprehensive scores of the rolls to be ground on each grinding machine according to the comprehensive evaluation model of the rolls, and arranging the rolls to be ground on each grinding machine in order of priority from high to low according to the scores; The comprehensive evaluation model for rolling rolls includes a comprehensive evaluation model for high-speed steel rolling rolls and a comprehensive evaluation model for common rolling rolls; Among them, the comprehensive evaluation model of high-speed steel roll is: In the formula, Score HSS is the comprehensive score of the high-speed steel roll to be ground; γ is the influencing factor of the machine downtime, and the values ​​of γ are 0, 0.3, 0.7 and 1; k1, k2, k3 and k4 are the roll diameter differences of the paired rolls (D TOP -D BOT ), and the weight value is calculated and determined by the hierarchical analysis method; N r The number of times the roll is put on the machine; A is the rating value of the roll oxide film; and N s The number of rolls to be loaded on the stand; The general roller comprehensive evaluation model is: In the formula, Score0 is the comprehensive score of the ordinary roll to be ground, N0 and N s They represent the number of rotating rolls and the number of rolls to be put on the machine in the stand where the roll is located, respectively; k0 represents the weight, and the value of k0 weight is determined according to the ratio of the average grinding time of the finishing work roll to the average grinding time of different types of rolls; S3) Substituting the detailed data of the future rolling plan and the real-time status information data of the turnover rolls collected in S1) into the roll grinding early warning model to obtain the early warning value of the rolls to be ground by each grinder, and confirming whether to adjust the priority ranking of the grinders in S2) or issue early warning information according to the early warning value; The specific steps are: S3.1) Substituting the future rolling plan detailed data collected in S1) and the real-time status information data of all turnover rolls into the grinding early warning model to obtain the early warning values ​​of all rolls to be ground; The grinding early warning model is: In the formula, x is the roll type, y is the rack number, warning xy is the warning value of the x-type roller of the y-th stand, N xy is the current number of white rollers of type x in the y-th stand, C j is the jth rolling plan level, p is the number of future rolling plans, and β is the selection coefficient; S3.2) According to the warning value of the rolls to be ground of each grinder, set conditions for comparison to determine whether the rolls to be ground of the grinder need warning, if necessary, execute S3.3), if not, end; The setting conditions are: When warning up ≤warning xy , then no warning is needed; When warning low ≤warning xy <warning up , it is a mild warning; When warning xy <warning low , then it is a severe warning; Among them, warning up The upper limit warning value of the roll grinding warning value, warning low It is the lower limit warning value of the roll grinding warning value; S3.3) Adjust the grinding priority of the grinder and issue a warning message according to the warning level.

2. A server, characterized in that: The method comprises a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the method of claim 1.

3. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the method of claim 1.

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