A method for modeling state degradation of a twenty-high rolling mill under vibration-wear coupling

Abstract

The present invention relates to the technical field of state monitoring and analysis of a twenty-high rolling mill, and relates to a state degradation modeling method for a twenty-high rolling mill under the action of vibration-wear coupling. By performing data analysis on vibration data of each key part of a target twenty-high rolling mill corresponding to each target monitoring time point, the vibration characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period are obtained through analysis. Meanwhile, based on the wear data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, the wear characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period are obtained through analysis. Then, a reference vibration-wear coupling model of each key part of the target twenty-high rolling mill corresponding to the target twenty-high rolling mill is established. Finally, the state degradation evaluation of each key part of the target twenty-high rolling mill corresponding to the target twenty-high rolling mill is performed, which effectively ensures that the degradation and failure of the equipment are discovered in time, thereby taking preventive maintenance measures and effectively avoiding sudden failure of the equipment.

Description

Technical Field

[0001] The invention belongs to the technical field of state monitoring and analysis of a twenty-high rolling mill, and relates to a method for modeling state degradation of a twenty-high rolling mill under vibration-wear coupling. Technical Background

[0002] As an important metal processing equipment, rolling mill is widely used in the rolling process of metal materials. Its performance status directly affects the product quality. However, long-term operation and high-intensity work will cause the state of the rolling mill to gradually degrade due to factors such as vibration and wear, which in turn affects its performance and life. Therefore, accurately predicting and evaluating the degree of state degradation of the rolling mill is of great significance for equipment maintenance and production planning.

[0003] The existing rolling mill state degradation assessment analysis still has some areas that need to be optimized, which are specifically reflected in the following aspects:

[0004] 1. Currently, there is no effective guarantee to timely detect equipment degradation and failure, so preventive maintenance measures cannot be taken in time, which increases the possibility of sudden equipment failure, fails to improve equipment reliability and safety, fails to reduce maintenance costs, and reduces the service life of equipment;

[0005] 2. Currently, it is impossible to realize intelligent management of equipment, which reduces the reliability and safety of equipment, increases maintenance costs, reduces production efficiency, increases the risk of production accidents, and reduces the reliability of production plans. Summary of the invention

[0006] In view of the above problems existing in the prior art, the present invention provides a method for modeling the state degradation of a twenty-high rolling mill under the action of vibration-wear coupling, which is used to solve the above technical problems.

[0007] In order to achieve the above purpose and other purposes, the technical solution adopted by the present invention is as follows:

[0008] The present invention provides a method for modeling state degradation of a twenty-high rolling mill under vibration-wear coupling, the method comprising the following steps:

[0009] Step 1: Install data acquisition equipment at key parts of the target twenty-high rolling mill, and then collect vibration data of key parts of the target twenty-high rolling mill at each monitoring time point corresponding to the target monitoring time period, and the target monitoring time points of the target monitoring time period are collectively referred to as target monitoring time points;

[0010] Step 2: Perform data analysis on the vibration data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, thereby analyzing and obtaining the vibration characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period;

[0011] Step 3: By monitoring the wear condition of the target twenty-high rolling mill, the wear data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point is collected;

[0012] Step 4: Analyze and obtain the wear characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period;

[0013] Step 5: construct a reference vibration-wear coupling model corresponding to each key part of the target twenty-high rolling mill;

[0014] Step 6: Based on the reference vibration-wear coupling model corresponding to the target twenty-high rolling mill, the state degradation assessment of each key part corresponding to the target twenty-high rolling mill is performed.

[0015] Exemplarily, the vibration data of each key part of the target twenty-high rolling mill at each monitoring time point corresponding to the target monitoring time period in step 1 specifically include vibration amplitude, vibration frequency, vibration acceleration, vibration velocity and vibration offset.

[0016] Exemplarily, in step 2, data analysis is performed on the vibration data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, and the specific analysis process is as follows:

[0017] Step 2.1: Based on the vibration data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, the vibration frequency of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point is obtained, and the vibration frequencies are compared with each other to screen and calculate the sampling frequency θ of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point. g , g represents the number of each key part, g = 1, 2, ... u;

[0018] According to the analysis formula The moving window size value Ψ of each key part of the target twenty-high rolling mill is obtained by analysis. g , where p represents the number of each target monitoring time point, p=1,2,...s,θ gp represents the vibration frequency of the g-th key part of the target twenty-high rolling mill corresponding to the p-th target monitoring time point, l represents the reference length of the preset window capture signal cycle, ι1 represents the predefined moving window correction value;

[0019] Obtain the total number of monitoring time points within the target monitoring time period corresponding to the target twenty-high rolling mill, thereby obtaining the total number of monitoring time points M corresponding to each key part of the target twenty-high rolling mill g ,pass The frequency moving average value η of each key part of the target twenty-high rolling mill is calculated g ;

[0020] Step 2.2: Obtain the vibration amplitude of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, compare the vibration amplitude of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, and thus select the maximum vibration amplitude of each key part of the target twenty-high rolling mill and minimum vibration amplitude

[0021] According to the analysis formula The analysis shows that the average vibration amplitude of each key part of the target twenty-high rolling mill is φ g , where s represents the total number of target monitoring time points, A gp It represents the vibration amplitude of the g-th key part of the target twenty-high rolling mill corresponding to the p-th target monitoring time point;

[0022] Step 2.3: Obtain the vibration acceleration of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point and vibration speed ν gp ;

[0023] pass The standard deviation of vibration acceleration of each key part of the target twenty-high rolling mill is calculated. g ;

[0024] According to the standard deviation of vibration acceleration of the target twenty-high rolling mill corresponding to each key part, the standard deviation of vibration velocity of the target twenty-high rolling mill corresponding to each key part can be calculated in the same way. g ;

[0025] Step 2.4: Obtain the vibration offset of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, and calculate the root mean square value λ of the vibration offset of each key part of the twenty-high rolling mill g , the specific calculation formula is:

[0026] Η gp It represents the vibration offset of the g-th key part of the target twenty-high rolling mill corresponding to the p-th target monitoring time point.

[0027] Exemplarily, in step 2, the vibration characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period are analyzed and obtained, and the specific analysis process is as follows:

[0028] Step 2.5: Obtain the moving average frequency of each key part of the target twenty-high rolling mill, according to the analysis formula The vibration frequency deviation coefficient of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period is analyzed and obtained. Wherein, η′g and Δη′g′ respectively represent the predefined reference vibration frequency value and the allowable vibration frequency difference value corresponding to the g-th key part of the twenty-high rolling mill;

[0029] Step 2.6: According to the analysis method of the vibration frequency deviation coefficient of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period, the vibration amplitude deviation coefficient, vibration acceleration deviation coefficient, vibration velocity deviation coefficient and vibration offset deviation coefficient of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period are analyzed in the same way;

[0030] Step 2.7: Then pass The comprehensive vibration deviation coefficient of each key part of the target twenty-high rolling mill is calculated Among them, e represents a natural constant, where b1+b2+b3+b4+b5=1 are the weight factors of the predefined vibration frequency deviation coefficient, vibration amplitude deviation coefficient, vibration acceleration deviation coefficient, vibration velocity deviation coefficient and vibration offset deviation coefficient corresponding to the g-th key part of the target twenty-high rolling mill within the target monitoring time period, respectively.

[0031] Exemplarily, in step 3, the wear data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point are the wear amount and the wear rate.

[0032] Exemplarily, in step 3, the wear data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point is collected, and the specific collection process is as follows:

[0033] Step 3.1: Through the deployed monitoring instruments, the wear images of the key parts of the target twenty-high rolling mill corresponding to each target monitoring time point are obtained, and the wear surface area and wear depth of the key parts of the target twenty-high rolling mill corresponding to each target monitoring time point are further extracted. The wear surface area and wear depth of the key parts of the target twenty-high rolling mill corresponding to each target monitoring time point are multiplied to obtain the wear volume τ of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point. gp ,pass Calculate the wear amount of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point represents the reference wear volume corresponding to the predefined unit wear volume;

[0034] Step 3.2: According to the wear amount of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, the wear amount of the first target monitoring time point and the wear amount of the last target monitoring time point of each key part of the target twenty-high rolling mill are compared, and the time points corresponding to the last target monitoring time point and the first target monitoring time point are obtained respectively. According to the analysis formula The wear rate of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period is analyzed. t 末尾 ,t 第一 Respectively represent the time points corresponding to the last target monitoring time point and the first target monitoring time point, They respectively represent the wear amount at the last target monitoring time point and the wear amount at the first target monitoring time point in the g-th key part of the target twenty-high rolling mill;

[0035] The wear rates of the key parts of the target twenty-high rolling mill corresponding to the target monitoring time period are used as the wear rates of the key parts of the target twenty-high rolling mill corresponding to each target monitoring time point.

[0036] Exemplarily, the wear characteristics of each key part of the target twenty-high rolling mill corresponding to the monitoring time point are analyzed in step 4, and the specific construction process is as follows:

[0037] Step 4.1: Obtain the delivery time and average daily usage time of the target twenty-high mill, and use Calculate the total cumulative usage time C, C corresponding to the target twenty-high rolling mill 出 , They represent the factory time and average daily usage time of the target twenty-high rolling mill, C 现 Indicates the time at that time;

[0038] Step 4.2: Pass The comprehensive wear deviation coefficient β of each key part of the target twenty-high rolling mill is calculated g , where Δβ g It represents the allowable wear deviation value of the g-th key part of the predetermined twenty-high rolling mill.

[0039] Exemplarily, in step 5, a reference vibration-wear coupling model corresponding to each key part of the target twenty-high rolling mill is constructed, and the specific construction process is as follows:

[0040] Step 5.1: extracting the standard vibration-wear coupling model of each key part of the twenty-high rolling mill from the reference information database, thereby extracting the reference wear amount corresponding to the reference vibration number of each key part of the twenty-high rolling mill;

[0041] Step 5.2: Obtain the reference vibration times of each key part of the twenty-high rolling mill, and multiply the reference vibration times of each key part of the target twenty-high rolling mill by the comprehensive vibration deviation coefficients of each key part of the target twenty-high rolling mill to obtain the deviation vibration times of each key part of the target twenty-high rolling mill;

[0042] Step 5.3: Obtain the reference wear amount corresponding to the reference vibration number of each key part of the twenty-high rolling mill, multiply it by the deviation vibration number of each key part of the target twenty-high rolling mill, and then multiply the calculated result by the wear comprehensive deviation coefficient of each key part of the target twenty-high rolling mill, thereby calculating the deviation wear amount of the deviation vibration number of each key part of the target twenty-high rolling mill;

[0043] Step 5.4: The reference vibration-wear coupling model of each key part of the target twenty-high rolling mill corresponding to each key part is constructed based on the deviation wear amount of the deviation vibration number of each key part of the target twenty-high rolling mill.

[0044] Exemplarily, in step 6, the state degradation assessment is performed on each key part corresponding to the target twenty-high rolling mill, and the specific assessment process is as follows:

[0045] Step 6.1: Use the current time and the factory time corresponding to the target twenty-high rolling mill to perform a difference calculation to obtain the corresponding service time of the target twenty-high rolling mill, extract the reference wear amount of the reference vibration number of each key part corresponding to the service time interval of the twenty-high rolling mill from the reference information database, and further obtain the reference wear amount of the reference vibration number of each key part in the service time interval of the target twenty-high rolling mill;

[0046] Step 6.2: Exploitation The state assessment coefficient εg of each key part of the target twenty-high rolling mill is calculated, where R′ g It represents the reference wear amount of the g-th key part reference vibration number in the corresponding service time interval of the target twenty-high rolling mill, R g Indicates the deviation wear amount of the target twenty-high rolling mill corresponding to the deviation vibration number of the g-th key part, ΔR g It indicates the allowable deviation of the g-th key part of the predefined twenty-high rolling mill;

[0047] Step 6.3: Compare the state assessment coefficient of each key part of the target twenty-high rolling mill with the predefined reference state assessment coefficient of each key part of the twenty-high rolling mill. If the state assessment coefficient of a key part of the target twenty-high rolling mill is greater than or equal to the predefined reference state assessment coefficient of each key part of the twenty-high rolling mill, the state of the key part of the target twenty-high rolling mill is marked as normal, otherwise it is marked as degraded.

[0048] As described above, the present invention provides a method for modeling the state degradation of a twenty-high mill under the action of vibration-wear coupling, which has at least the following beneficial effects:

[0049] The present invention provides a method for modeling the state degradation of a twenty-roll mill under the action of vibration-wear coupling. The method analyzes the vibration data of each key part of the target twenty-roll mill corresponding to each target monitoring time point, thereby analyzing the vibration characteristics of each key part of the target twenty-roll mill corresponding to the target monitoring time period. At the same time, based on the wear data of each key part of the target twenty-roll mill corresponding to each target monitoring time point, the wear characteristics of each key part of the target twenty-roll mill corresponding to the target monitoring time period are analyzed, and then a reference vibration-wear coupling model of each key part of the target twenty-roll mill corresponding to the target twenty-roll mill is established. Finally, the state degradation evaluation is performed on each key part of the target twenty-roll mill, which effectively solves the problem that there are still certain limitations in the current degradation modeling, evaluation and analysis of the twenty-roll mill. On the one hand, it effectively ensures the timely discovery of equipment degradation and failure, so as to take preventive maintenance measures, avoid sudden equipment failure, reduce production downtime, and improve equipment reliability and safety. On the other hand, mechanical state degradation evaluation can also help us optimize equipment maintenance strategies. By analyzing the degradation trend of equipment status, we can reduce maintenance costs and extend the service life of equipment. On the other hand, mechanical status degradation assessment can help us realize intelligent management of equipment, improve equipment reliability and safety, reduce maintenance costs and improve production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0051] Figure 1 It is a schematic diagram of the connection of each step of the method of the present invention. DETAILED DESCRIPTION

[0052] The above contents in combination with the implementation of the present invention are merely examples and explanations of the concept of the present invention. The technical personnel in the relevant technical field may make various modifications or supplements to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they shall all fall within the protection scope of the present invention.

[0053] See also Figure 1 As shown, a method for modeling state degradation of a twenty-high rolling mill under vibration-wear coupling, the method comprising the following steps:

[0054] Step 1: Install data acquisition equipment at key parts of the target twenty-high rolling mill, and then collect vibration data of key parts of the target twenty-high rolling mill at each monitoring time point corresponding to the target monitoring time period, and the target monitoring time points of the target monitoring time period are collectively referred to as target monitoring time points;

[0055] It should be noted that the vibration data of each key part of the target twenty-high rolling mill at each monitoring time point in the target monitoring time period in step 1 specifically include vibration amplitude, vibration frequency, vibration acceleration, vibration velocity and vibration offset.

[0056] Step 2: Perform data analysis on the vibration data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, thereby analyzing and obtaining the vibration characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period;

[0057] It should be noted that in step 2, the vibration data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point is analyzed, and the specific analysis process is as follows:

[0058] Step 2.1: Based on the vibration data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, the vibration frequency of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point is obtained, and the vibration frequencies are compared with each other to screen and calculate the sampling frequency θ of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point. g , g represents the number of each key part, g = 1, 2, ... u;

[0059] Applied to the above embodiment, the screening calculation obtains the sampling frequency of each key part of the target twenty-high rolling mill, and the specific process is:

[0060] The vibration frequencies of the key parts of the target twenty-high rolling mill corresponding to the target monitoring time points are compared with each other, thereby obtaining the maximum vibration frequency values ​​corresponding to the key parts of the target twenty-high rolling mill;

[0061] According to the definition of Nyquist theorem, the sampling frequency should be at least twice the highest frequency value in the signal. Therefore, the maximum vibration frequency value corresponding to each key part of the target twenty-high rolling mill is multiplied by 2 to obtain the sampling frequency of each key part of the target twenty-high rolling mill.

[0062] According to the analysis formula The moving window size value Ψ of each key part of the target twenty-high rolling mill is obtained by analysis. g , where p represents the number of each target monitoring time point, p=1,2,...s,θ gprepresents the vibration frequency of the g-th key part of the target twenty-high rolling mill corresponding to the p-th target monitoring time point, l represents the reference length of the preset window capture signal cycle, ι1 represents the predefined moving window correction value;

[0063] Obtain the total number of monitoring time points within the target monitoring time period corresponding to the target twenty-high rolling mill, thereby obtaining the total number of monitoring time points M corresponding to each key part of the target twenty-high rolling mill g ,pass The frequency moving average value η of each key part of the target twenty-high rolling mill is calculated g ;

[0064] Step 2.2: Obtain the vibration amplitude of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, compare the vibration amplitude of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, and thus select the maximum vibration amplitude of each key part of the target twenty-high rolling mill and minimum vibration amplitude

[0065] According to the analysis formula The analysis shows that the average vibration amplitude of each key part of the target twenty-high rolling mill is φ g , where s represents the total number of target monitoring time points, A gp It represents the vibration amplitude of the g-th key part of the target twenty-high rolling mill corresponding to the p-th target monitoring time point;

[0066] Step 2.3: Obtain the vibration acceleration of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point and vibration speed ν gp ;

[0067] pass The standard deviation of vibration acceleration of each key part of the target twenty-high rolling mill is calculated. g ;

[0068] According to the standard deviation of vibration acceleration of the target twenty-high rolling mill corresponding to each key part, the standard deviation of vibration velocity of the target twenty-high rolling mill corresponding to each key part can be calculated in the same way. g ;

[0069] Step 2.4: Obtain the vibration offset of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, and calculate the root mean square value λ of the vibration offset of each key part of the twenty-high rolling mill g , the specific calculation formula is:

[0070] Η gp It represents the vibration offset of the g-th key part of the target twenty-high rolling mill corresponding to the p-th target monitoring time point.

[0071] It should be noted that the vibration characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period are analyzed in step 2, and the specific analysis process is as follows:

[0072] Step 2.5: Obtain the moving average frequency of each key part of the target twenty-high rolling mill, according to the analysis formula The vibration frequency deviation coefficient of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period is analyzed and obtained. Wherein, η′g and Δη′g′ respectively represent the predefined reference vibration frequency value and the allowable vibration frequency difference value corresponding to the g-th key part of the twenty-high rolling mill;

[0073] Step 2.6: According to the analysis method of the vibration frequency deviation coefficient of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period, the vibration amplitude deviation coefficient, vibration acceleration deviation coefficient, vibration velocity deviation coefficient and vibration offset deviation coefficient of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period are analyzed in the same way;

[0074] Step 2.7: Then pass The comprehensive vibration deviation coefficient of each key part of the target twenty-high rolling mill is calculated Among them, e represents a natural constant, where b1+b2+b3+b4+b5=1 are the weight factors of the predefined vibration frequency deviation coefficient, vibration amplitude deviation coefficient, vibration acceleration deviation coefficient, vibration velocity deviation coefficient and vibration offset deviation coefficient corresponding to the g-th key part of the target twenty-high rolling mill within the target monitoring time period, respectively.

[0075] Step 3: By monitoring the wear condition of the target twenty-high rolling mill, the wear data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point is collected;

[0076] It should be noted that, in step 3, the wear data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point are the wear amount and the wear rate.

[0077] It should be noted that the wear data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point is collected in step 3, and the specific collection process is as follows:

[0078] Step 3.1: Through the deployed monitoring instruments, the wear images of the key parts of the target twenty-high rolling mill corresponding to each target monitoring time point are obtained, and the wear surface area and wear depth of the key parts of the target twenty-high rolling mill corresponding to each target monitoring time point are further extracted. The wear surface area and wear depth of the key parts of the target twenty-high rolling mill corresponding to each target monitoring time point are multiplied to obtain the wear volume τ of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point. gp ,pass Calculate the wear amount of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point represents the reference wear volume corresponding to the predefined unit wear volume;

[0079] Applied to the above embodiment, the extraction obtains the wear surface area and wear depth of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point. The specific extraction process is as follows:

[0080] Firstly, the wear image of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point is preprocessed by edge detection, and then the wear edge of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point is extracted, and the image is binarized to obtain the number of white pixels inside the wear edge of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, thereby obtaining the wear surface area of ​​each key part of the target twenty-high rolling mill corresponding to each target monitoring time point;

[0081] Find the center of the wear surface in the wear image of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, calculate the distance from the wear edge to the wear surface, calculate the distance from each wear edge pixel to the center of the wear surface, and then take the average value to obtain the wear depth of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point.

[0082] Step 3.2: According to the wear amount of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, the wear amount of the first target monitoring time point and the wear amount of the last target monitoring time point of each key part of the target twenty-high rolling mill are compared, and the time points corresponding to the last target monitoring time point and the first target monitoring time point are obtained respectively. According to the analysis formula The wear rate of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period is analyzed. t 末尾 ,t 第一 Respectively represent the time points corresponding to the last target monitoring time point and the first target monitoring time point, They respectively represent the wear amount at the last target monitoring time point and the wear amount at the first target monitoring time point in the g-th key part of the target twenty-high rolling mill;

[0083] The wear rates of the key parts of the target twenty-high rolling mill corresponding to the target monitoring time period are used as the wear rates of the key parts of the target twenty-high rolling mill corresponding to each target monitoring time point.

[0084] Step 4: Analyze and obtain the wear characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period;

[0085] It should be noted that the wear characteristics of each key part of the target twenty-high rolling mill corresponding to the monitoring time point are analyzed and obtained in step 4. The specific construction process is as follows:

[0086] Step 4.1: Obtain the delivery time and average daily usage time of the target twenty-high mill, and use Calculate the total cumulative usage time C, C corresponding to the target twenty-high rolling mill 出 , They represent the factory time and average daily usage time of the target twenty-high rolling mill, C 现 Indicates the time at that time;

[0087] Step 4.2: Pass The wear comprehensive deviation coefficient β of each key part of the target twenty-high rolling mill is calculated g , where Δβ g It represents the allowable wear deviation value of the g-th key part of the predetermined twenty-high rolling mill.

[0088] Step 5: construct a reference vibration-wear coupling model corresponding to each key part of the target twenty-high rolling mill;

[0089] It should be noted that the reference vibration-wear coupling model corresponding to each key part of the target twenty-high rolling mill is constructed in step 5, and the specific construction process is as follows:

[0090] Step 5.1: extracting the standard vibration-wear coupling model of each key part of the twenty-high rolling mill from the reference information database, thereby extracting the reference wear amount corresponding to the reference vibration number of each key part of the twenty-high rolling mill;

[0091] Step 5.2: Obtain the reference vibration times of each key part of the twenty-high rolling mill, and multiply the reference vibration times of each key part of the target twenty-high rolling mill by the comprehensive vibration deviation coefficients of each key part of the target twenty-high rolling mill to obtain the deviation vibration times of each key part of the target twenty-high rolling mill;

[0092] Step 5.3: Obtain the reference wear amount corresponding to the reference vibration number of each key part of the twenty-high rolling mill, multiply it by the deviation vibration number of each key part of the target twenty-high rolling mill, and then multiply the calculated result by the wear comprehensive deviation coefficient of each key part of the target twenty-high rolling mill, thereby calculating the deviation wear amount of the deviation vibration number of each key part of the target twenty-high rolling mill;

[0093] Step 5.4: The reference vibration-wear coupling model of each key part of the target twenty-high rolling mill corresponding to each key part is constructed based on the deviation wear amount of the deviation vibration number of each key part of the target twenty-high rolling mill.

[0094] Step 6: Based on the reference vibration-wear coupling model corresponding to the target twenty-high rolling mill, the state degradation assessment of each key part corresponding to the target twenty-high rolling mill is performed.

[0095] It should be noted that in step 6, the state degradation assessment is performed on the key parts corresponding to the target twenty-high rolling mill, and the specific assessment process is as follows:

[0096] Step 6.1: Use the current time and the factory time corresponding to the target twenty-high rolling mill to perform a difference calculation to obtain the corresponding service time of the target twenty-high rolling mill, extract the reference wear amount of the reference vibration number of each key part corresponding to the service time interval of the twenty-high rolling mill from the reference information database, and further obtain the reference wear amount of the reference vibration number of each key part in the service time interval of the target twenty-high rolling mill;

[0097] Applied to the above embodiment, the usage time corresponding to the target twenty-high rolling mill is compared with the reference wear amount of the reference vibration times of each key part in the usage time interval corresponding to the twenty-high rolling mill, thereby obtaining the reference wear amount of the reference vibration times of each key part in the usage time interval corresponding to the target twenty-high rolling mill.

[0098] Step 6.2: Exploitation The state assessment coefficient εg of each key part of the target twenty-high rolling mill is calculated, where R′ g It represents the reference wear amount of the g-th key part reference vibration number in the corresponding service time interval of the target twenty-high rolling mill, R g Indicates the deviation wear amount of the target twenty-high rolling mill corresponding to the deviation vibration number of the g-th key part, ΔR g It indicates the allowable deviation of the g-th key part of the predefined twenty-high rolling mill;

[0099] Step 6.3: Compare the state assessment coefficient of each key part of the target twenty-high rolling mill with the predefined reference state assessment coefficient of each key part of the twenty-high rolling mill. If the state assessment coefficient of a key part of the target twenty-high rolling mill is greater than or equal to the predefined reference state assessment coefficient of each key part of the twenty-high rolling mill, the state of the key part of the target twenty-high rolling mill is marked as normal, otherwise it is marked as degraded.

[0100] The present invention provides a method for modeling the state degradation of a twenty-roll mill under the action of vibration-wear coupling. The method analyzes the vibration data of each key part of the target twenty-roll mill corresponding to each target monitoring time point, thereby analyzing the vibration characteristics of each key part of the target twenty-roll mill corresponding to the target monitoring time period. At the same time, based on the wear data of each key part of the target twenty-roll mill corresponding to each target monitoring time point, the wear characteristics of each key part of the target twenty-roll mill corresponding to the target monitoring time period are analyzed, and then a reference vibration-wear coupling model of each key part of the target twenty-roll mill corresponding to the target twenty-roll mill is established. Finally, the state degradation evaluation is performed on each key part of the target twenty-roll mill, which effectively solves the problem that there are still certain limitations in the current degradation modeling, evaluation and analysis of the twenty-roll mill. On the one hand, it effectively ensures the timely discovery of equipment degradation and failure, so as to take preventive maintenance measures, avoid sudden equipment failure, reduce production downtime, and improve equipment reliability and safety. On the other hand, mechanical state degradation evaluation can also help us optimize equipment maintenance strategies. By analyzing the degradation trend of equipment status, we can reduce maintenance costs and extend the service life of equipment. On the other hand, mechanical status degradation assessment can help us realize intelligent management of equipment, improve equipment reliability and safety, reduce maintenance costs and improve production efficiency.

[0101] The above contents are merely examples and explanations of the concept of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A method for modeling state degradation of a twenty-high rolling mill under vibration-wear coupling, characterized in that: The method comprises the following steps: Step 1: Install data acquisition equipment at key parts of the target twenty-high rolling mill, and then collect vibration data of key parts of the target twenty-high rolling mill at each monitoring time point corresponding to the target monitoring time period, and the target monitoring time points of the target monitoring time period are collectively referred to as target monitoring time points; Step 2: Perform data analysis on the vibration data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, thereby analyzing and obtaining the vibration characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period; Step 3: By monitoring the wear condition of the target twenty-high rolling mill, the wear data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point is collected; Step 4: Analyze and obtain the wear characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period; Step 5: Construct a reference vibration-wear coupling model for each key part of the target twenty-high rolling mill. The specific construction process is as follows: Step 5.1: extracting the standard vibration-wear coupling model of each key part of the twenty-high rolling mill from the reference information database, thereby extracting the reference wear amount corresponding to the reference vibration number of each key part of the twenty-high rolling mill; Step 5.2: Obtain the reference vibration times of each key part of the twenty-high rolling mill, and multiply the reference vibration times of each key part of the target twenty-high rolling mill by the comprehensive vibration deviation coefficients of each key part of the target twenty-high rolling mill to obtain the deviation vibration times of each key part of the target twenty-high rolling mill; Step 5.3: Obtain the reference wear amount corresponding to the reference vibration number of each key part of the twenty-high rolling mill, multiply it by the deviation vibration number of each key part of the target twenty-high rolling mill, and then multiply the calculated result by the wear comprehensive deviation coefficient of each key part of the target twenty-high rolling mill, thereby calculating the deviation wear amount of the deviation vibration number of each key part of the target twenty-high rolling mill; Step 5.4: construct a reference vibration-wear coupling model for each key part of the target twenty-high rolling mill based on the deviation wear amount of the deviation vibration times of each key part of the target twenty-high rolling mill; Step 6: Based on the reference vibration-wear coupling model corresponding to the target twenty-high rolling mill, the state degradation assessment of each key part corresponding to the target twenty-high rolling mill is performed.

2. The method for modeling state degradation of a twenty-high rolling mill under vibration-wear coupling according to claim 1 is characterized in that: In the step 1, the vibration data of each key part of the target twenty-high rolling mill at each monitoring time point corresponding to the target monitoring time period specifically include vibration amplitude, vibration frequency, vibration acceleration, vibration velocity and vibration offset.

3. The method for modeling state degradation of a twenty-high rolling mill under vibration-wear coupling according to claim 2 is characterized in that: In step 2, the vibration data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point is analyzed, and the specific analysis process is as follows: Step 2.1: Based on the vibration data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, the vibration frequency of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point is obtained, and the vibration frequencies are compared with each other to screen and calculate the sampling frequencies of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point. , g represents the number of each key part, g=1,2,...u; According to the analysis formula , the moving window size values ​​of the target twenty-high rolling mill corresponding to each key part are obtained by analysis , where p represents the number of each target monitoring time point, p=1,2,...s, It represents the vibration frequency of the gth key part of the target twenty-high rolling mill corresponding to the pth target monitoring time point, Indicates the reference length of the preset window capture signal cycle. Represents the predefined moving window correction value; Obtain the total number of monitoring time points within the target monitoring time period corresponding to the target twenty-high rolling mill, thereby obtaining the total number of monitoring time points corresponding to each key part of the target twenty-high rolling mill ,pass , calculate the moving average frequency of each key part of the target twenty-high mill ; Step 2.2: Obtain the vibration amplitude of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, compare the vibration amplitude of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, and thus select the maximum vibration amplitude of each key part of the target twenty-high rolling mill and minimum vibration amplitude ; According to the analysis formula The analysis shows that the average vibration amplitude of each key part of the target twenty-high rolling mill is , where s represents the total number of target monitoring time points, It represents the vibration amplitude of the g-th key part of the target twenty-high rolling mill corresponding to the p-th target monitoring time point; Step 2.3: Obtain the vibration acceleration of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point and vibration speed ; pass , the standard deviation of vibration acceleration of each key part of the target twenty-high rolling mill is calculated ; According to the standard deviation of vibration acceleration of each key part of the target twenty-high rolling mill, the standard deviation of vibration velocity of each key part of the target twenty-high rolling mill can be calculated in the same way. ; Step 2.4: Obtain the vibration offset of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, and calculate the root mean square value of the vibration offset of each key part of the twenty-high rolling mill , the specific calculation formula is: , It represents the vibration offset of the g-th key part of the target twenty-high rolling mill corresponding to the p-th target monitoring time point.

4. The method for modeling state degradation of a twenty-high rolling mill under vibration-wear coupling according to claim 3 is characterized in that: In step 2, the vibration characteristics of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period are analyzed and obtained. The specific analysis process is as follows: Step 2.5: Obtain the moving average frequency of each key part of the target twenty-high rolling mill, according to the analysis formula The vibration frequency deviation coefficient of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period is analyzed. ,in, They respectively represent the reference vibration frequency value and the permissible vibration frequency difference value corresponding to the g-th key part of the predefined twenty-high rolling mill; Step 2.6: According to the analysis method of the vibration frequency deviation coefficient of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period, the vibration amplitude deviation coefficient, vibration acceleration deviation coefficient, vibration velocity deviation coefficient and vibration offset deviation coefficient of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period are analyzed in the same way; Step 2.7: Then pass The comprehensive vibration deviation coefficient of each key part of the target twenty-high rolling mill is calculated , where e represents a natural constant, where b1+b2+b3+b4+b5=1.

5. The method for modeling state degradation of a twenty-high rolling mill under vibration-wear coupling according to claim 1, characterized in that: In step 3, the wear data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point are the wear amount and the wear rate.

6. A method for modeling state degradation of a twenty-high rolling mill under vibration-wear coupling according to claim 5, characterized in that: In step 3, wear data of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point is collected, and the specific collection process is as follows: Step 3.1: Through the deployed monitoring instruments, the wear images of the key parts of the target twenty-high rolling mill corresponding to each target monitoring time point are obtained, and the wear surface area and wear depth of the key parts of the target twenty-high rolling mill corresponding to each target monitoring time point are further extracted. The wear surface area and wear depth of the key parts of the target twenty-high rolling mill corresponding to each target monitoring time point are multiplied to obtain the wear volume of the key parts of the target twenty-high rolling mill corresponding to each target monitoring time point. ,pass Calculate the wear amount of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point , represents the reference wear volume corresponding to the predefined unit wear volume; Step 3.2: According to the wear amount of each key part of the target twenty-high rolling mill corresponding to each target monitoring time point, the wear amount of the first target monitoring time point and the wear amount of the last target monitoring time point of each key part of the target twenty-high rolling mill are compared, and the time points corresponding to the last target monitoring time point and the first target monitoring time point are obtained respectively. According to the analysis formula The wear rate of each key part of the target twenty-high rolling mill corresponding to the target monitoring time period is analyzed. , Respectively represent the time points corresponding to the last target monitoring time point and the first target monitoring time point, They respectively represent the wear amount at the last target monitoring time point and the wear amount at the first target monitoring time point in the g-th key part of the target twenty-high rolling mill; The wear rates of the key parts of the target twenty-high rolling mill corresponding to the target monitoring time period are used as the wear rates of the key parts of the target twenty-high rolling mill corresponding to each target monitoring time point.

7. A method for modeling state degradation of a twenty-high rolling mill under vibration-wear coupling according to claim 6, characterized in that: In step 4, the wear characteristics of each key part of the target twenty-high rolling mill corresponding to the monitoring time point are analyzed and obtained, and the specific construction process is as follows: Step 4.1: Obtain the delivery time and average daily usage time of the target twenty-high mill, and use , calculate the total cumulative usage time C corresponding to the target twenty-high rolling mill, They represent the factory delivery time and average daily usage time of the target twenty-high mill. Indicates the time at that time; Step 4.2: Pass , calculate the comprehensive wear deviation coefficient of each key part of the target twenty-high rolling mill ,in, It represents the allowable wear deviation value of the g-th key part of the predetermined twenty-high rolling mill.

8. The method for modeling state degradation of a twenty-high rolling mill under vibration-wear coupling according to claim 1, characterized in that: In step 6, the state degradation assessment is performed on the key parts corresponding to the target twenty-high rolling mill, and the specific assessment process is as follows: Step 6.1: Use the current time and the factory time corresponding to the target twenty-high rolling mill to perform a difference calculation to obtain the corresponding service time of the target twenty-high rolling mill, extract the reference wear amount of the reference vibration number of each key part corresponding to the service time interval of the twenty-high rolling mill from the reference information database, and further obtain the reference wear amount of the reference vibration number of each key part in the service time interval of the target twenty-high rolling mill; Step 6.2: Exploitation , the state assessment coefficients of the target twenty-high mill corresponding to each key part are calculated ,in, It represents the reference wear amount of the g-th key part reference vibration number within the corresponding service time interval of the target twenty-high rolling mill, It represents the deviation wear amount of the target twenty-high rolling mill corresponding to the deviation vibration number of the g-th key part, It indicates the allowable deviation of the g-th key part of the predefined twenty-high rolling mill; Step 6.3: Compare the state assessment coefficient of each key part of the target twenty-high rolling mill with the predefined reference state assessment coefficient of each key part of the twenty-high rolling mill. If the state assessment coefficient of a key part of the target twenty-high rolling mill is greater than or equal to the predefined reference state assessment coefficient of each key part of the twenty-high rolling mill, the state of the key part of the target twenty-high rolling mill is marked as normal, otherwise it is marked as degraded.

Images