Crusher rolling bearing data processing method and system based on data analysis

Abstract

The invention discloses a crusher rolling bearing data processing method and system based on data analysis, and relates to the technical field of data analysis and processing, and the method comprises the steps: obtaining the historical operation data of a crusher rolling bearing and the maintenance record of the crusher rolling bearing; the method comprises the following steps: firstly, determining different types of operation data of the rolling bearing, secondly, determining the fault grade and the fault moment of the rolling bearing, then, carrying out feature analysis on the fault moment and the different types of operation data of the rolling bearing to determine the fault features of the rolling bearing, and finally, carrying out feature analysis on the fault features of the rolling bearing. According to the method, the running rolling bearing is subjected to state analysis according to the fault characteristics of the rolling bearing and the fault level of the rolling bearing, whether the rolling bearing breaks down or not is determined, the state of the rolling bearing can be monitored in real time, the rolling bearing with the slight fault can be determined, and then the rolling bearing with the slight fault is maintained; the production cost is reduced, and the production period is shortened.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis and processing, and specifically relates to a method and system for processing crusher rolling bearing data based on data analysis. Background Art

[0002] A crusher, also known as a stone crusher, is a crushing machine that can crush the mined raw ore into small particles through extrusion and bending actions during the processing of metal and non-metal ores. A crusher refers to a crushing machine in which the content of particles larger than 3 mm in the discharge accounts for more than 50% of the total discharge. Crushing operations are often divided into coarse crushing, medium crushing, and fine crushing according to the size of the feed and discharge particles.

[0003] When the crusher is put into use for a long time, the rolling bearings inside it may malfunction. However, when the existing crusher is in use, it does not perform real-time monitoring and analysis on the rolling bearings inside it. When the rolling bearings have minor malfunctions, they are put into the next production without being repaired, which may cause damage to the rolling bearings of the crusher, increasing the production cost and also prolonging the production cycle. Summary of the Invention

[0004] To solve the above technical problems, a method and system for processing crusher rolling bearing data based on data analysis are provided. The present technical solution solves the problem that when the crusher is put into use for a long time, the rolling bearings inside it may malfunction. However, when the existing crusher is in use, it does not perform real-time monitoring and analysis on the rolling bearings inside it. When the rolling bearings have minor malfunctions, they are put into the next production without being repaired, which may cause damage to the rolling bearings of the crusher, increasing the production cost and also prolonging the production cycle.

[0005] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0006] A method for processing crusher rolling bearing data based on data analysis includes:

[0007] Obtain the historical operation data of the crusher rolling bearing and the maintenance records of the crusher rolling bearing;

[0008] It can be understood that the historical operation data of the crusher rolling bearing and the maintenance records of the crusher rolling bearing are extracted from the database system;

[0009] Based on a data processing terminal, analyze and process the historical operation data of the crusher rolling bearing to obtain different types of operation data of the rolling bearing. The different types of operation data of the rolling bearing include the operation temperature data of the rolling bearing, the operation vibration data of the rolling bearing, and the operation pressure data of the rolling bearing;

[0010] It is understandable that when a rolling bearing fails, its temperature, pressure, and vibration will all change. Therefore, it is necessary to extract and process the temperature data, pressure data, and vibration data from the historical operation data of the rolling bearing of the crusher for subsequent analysis;

[0011] Based on the data processing terminal, analyze and process the maintenance records of the rolling bearing of the crusher to determine the fault level and fault time of the rolling bearing. Among them, the fault level of the rolling bearing includes minor faults and serious faults, and the fault time of the rolling bearing includes minor fault time and serious fault time;

[0012] It is understandable that when the state of the rolling bearing is not monitored in real time, the only way to determine whether the rolling bearing has failed is through regular maintenance. Therefore, by analyzing the maintenance records, determine the fault level of the rolling bearing and the fault time of the rolling bearing;

[0013] Based on the data processing terminal, analyze and process the fault time of the rolling bearing and different types of operation data of the rolling bearing to determine the fault characteristics of the rolling bearing. Among them, the fault characteristics of the rolling bearing include minor fault characteristics of the rolling bearing and serious fault characteristics of the rolling bearing. The minor fault characteristics of the rolling bearing include minor fault temperature characteristics, minor fault vibration characteristics, and minor fault pressure characteristics. The serious fault characteristics of the rolling bearing include serious fault temperature characteristics, serious fault vibration characteristics, and serious fault pressure characteristics;

[0014] It is understandable that the forms of the operating pressure data, operating vibration data, and operating temperature data are different when the fault levels of the rolling bearing are different. Therefore, by analyzing the operating pressure data, operating vibration data, and operating temperature data, determine the fault characteristics of the rolling bearing;

[0015] The data processing terminal monitors the real-time data of the rolling bearing with the fault characteristics of the rolling bearing and the fault level of the rolling bearing as features to determine the real-time state of the rolling bearing.

[0016] Preferably, the steps of analyzing and processing the historical operation data of the rolling bearing of the crusher based on the data processing terminal to obtain different types of operation data of the rolling bearing are specifically as follows:

[0017] Based on the data processing terminal, analyze the storage method of the historical operation data of the rolling bearing of the crusher to determine the data classification method of the rolling bearing of the crusher;

[0018] It is understandable that there are various ways to store data, and the historical operation data of rolling bearings may be public data or encrypted data. Therefore, it is necessary to determine the data classification method of the rolling bearings of the crusher to extract the required data;

[0019] Based on the data processing terminal, classify and process the historical operation data of the rolling bearings of the crusher with reference to the data classification method of the rolling bearings of the crusher, and obtain the operating temperature data of the rolling bearings to be preprocessed, the operating vibration data of the rolling bearings to be preprocessed, and the operating pressure data of the rolling bearings to be preprocessed;

[0020] Based on the data processing terminal, perform data preprocessing on the operating temperature data of the rolling bearings to be preprocessed, the operating vibration data of the rolling bearings to be preprocessed, and the operating pressure data of the rolling bearings to be preprocessed respectively, and obtain the operating temperature data of the rolling bearings, the operating vibration data of the rolling bearings, and the operating pressure data of the rolling bearings. The data preprocessing includes denoising and missing value filling;

[0021] It is understandable that when data is monitored or stored, data loss may occur and noise data may also be stored. In order to reduce the complexity of subsequent analysis, the data is preprocessed.

[0022] Preferably, the analysis and processing of the maintenance records of the rolling bearings of the crusher based on the data processing terminal to determine the fault level and fault time of the rolling bearings specifically include the following steps:

[0023] Based on the data processing terminal, perform data extraction processing on the database system to obtain the maintenance standards of the rolling bearings;

[0024] It is understandable that the rolling bearings inside different types of crushers may be different, so their maintenance standards may also be different. Therefore, only by analyzing the maintenance records of the rolling bearings of the crusher through the maintenance standards can it be determined whether the rolling bearings need to be repaired or replaced;

[0025] Based on the data processing terminal, classify and process the maintenance records of the rolling bearings of the crusher with the maintenance standards of the rolling bearings as features, and obtain the normal maintenance records of the rolling bearings and the maintenance plan of the rolling bearings. The maintenance plan is any one of the rolling bearing repair plan or the rolling bearing replacement plan;

[0026] Based on the data processing terminal, analyze and process the maintenance plan of the rolling bearings to determine the fault level of the rolling bearings;

[0027] It can be understood that when the rolling bearing can still be used after repair, it indicates that the degree of damage to the rolling bearing is within a controllable range. When the rolling bearing cannot be repaired, it needs to be replaced. Therefore, the fault level of the rolling bearing is determined based on the repair and replacement of the rolling bearing;

[0028] Based on the data processing terminal, analyze and process the maintenance plan of the rolling bearing to determine the fault time of the rolling bearing.

[0029] Preferably, the analysis and processing of the maintenance plan of the rolling bearing based on the data processing terminal to determine the fault level of the rolling bearing specifically includes the following steps:

[0030] If the maintenance plan is a rolling bearing repair plan;

[0031] The rolling bearing does not need to be replaced and can continue to be used through repair. The fault level of the rolling bearing is a minor fault;

[0032] If the maintenance plan is a rolling bearing replacement plan;

[0033] The rolling bearing cannot continue to be used and needs to be replaced. The fault level of the rolling bearing is a serious fault.

[0034] Preferably, the analysis and processing of the maintenance plan of the rolling bearing based on the data processing terminal to determine the fault time of the rolling bearing specifically includes the following steps:

[0035] If the maintenance plan is a rolling bearing repair plan;

[0036] Based on the data processing terminal, perform time analysis and processing on the rolling bearing repair plan to determine the minor fault time;

[0037] It can be understood that when the rolling bearing has a minor fault, the data of the rolling bearing during its previous operation during repair is the characteristic of its minor fault;

[0038] If the maintenance plan is a rolling bearing replacement plan;

[0039] Based on the data processing terminal, perform time analysis and processing on the rolling bearing replacement plan to determine the serious fault time.

[0040] Preferably, the analysis and processing of the fault time of the rolling bearing and the operation data of different types of the rolling bearing based on the data processing terminal to determine the fault characteristics of the rolling bearing specifically includes the following steps:

[0041] If the fault time of the rolling bearing is the minor fault time;

[0042] Based on the data processing terminal, the running temperature data, running vibration data, and running pressure data of the rolling bearing are respectively extracted and processed with the moment of minor fault as the feature, and multiple groups of minor fault temperature data, multiple groups of minor fault vibration data, and multiple groups of minor fault pressure data are obtained;

[0043] It can be understood that the running data of the rolling bearing in the previous maintenance plan is not necessarily the data when the rolling bearing just starts to fail, but there may be data with similar characteristics to the just-occurred minor fault in multiple maintenance plans;

[0044] Based on the data processing terminal, the multiple groups of minor fault temperature data and multiple groups of minor fault pressure data are respectively sorted to obtain the minor fault temperature feature and minor fault pressure feature;

[0045] It can be understood that the smallest minor fault temperature data and the smallest minor fault pressure data are the required minor fault temperature feature and minor fault pressure feature;

[0046] Based on the data processing terminal, the multiple groups of minor fault vibration data are analyzed and processed to obtain the minor fault vibration feature;

[0047] It can be understood that when the rolling bearing fails, there are other mechanisms running inside the crusher, which may also generate vibrations. However, the vibration sensor collects all the vibrations inside the crusher, but the frequency spectra of the vibrations of different mechanisms are different. Therefore, by analyzing its frequency spectrum, the minor fault vibration feature is determined;

[0048] If the fault moment of the rolling bearing is the moment of severe fault;

[0049] Based on the data processing terminal, the running temperature data, running vibration data, and running pressure data of the rolling bearing are respectively analyzed and processed to obtain the severe fault temperature feature, severe fault vibration feature, and severe fault pressure feature;

[0050] It can be understood that the analysis method of the severe fault feature of the rolling bearing is the same as that of the minor fault feature of the rolling bearing.

[0051] Preferably, the step of analyzing and processing the multiple groups of minor fault vibration data based on the data processing terminal to obtain the minor fault vibration feature specifically includes the following steps:

[0052] Based on the data processing terminal, the data extraction and processing of the database system are carried out to obtain all the vibration data inside the crusher;

[0053] Based on the fast Fourier transform algorithm, perform frequency-domain conversion on multiple sets of slight fault vibration data and all vibration data inside the crusher to obtain multiple sets of slight fault vibration spectrum data and all vibration spectrum data inside the crusher;

[0054] Based on the data processing terminal, perform matching processing on multiple sets of slight fault vibration spectrum data with all vibration spectrum data inside the crusher as features to obtain multiple sets of real slight fault vibration spectrum data;

[0055] Based on the data processing terminal, perform sorting processing on multiple sets of real slight fault vibration spectrum data to obtain slight fault vibration characteristics.

[0056] Preferably, the data processing terminal monitors the real-time data of the rolling bearing with the fault characteristics of the rolling bearing and the fault level of the rolling bearing as features. Determining the real-time state of the rolling bearing specifically includes the following steps:

[0057] Based on the data processing terminal, collect data from the running rolling bearing to obtain real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data;

[0058] Based on the data processing terminal, perform comparison processing on the real-time operating temperature data, real-time operating pressure data, real-time operating vibration data, and the fault characteristics of the rolling bearing to determine the real-time state of the rolling bearing;

[0059] It can be understood that the real-time data of the rolling bearing is collected through a temperature sensor, a vibration sensor, and a pressure sensor, and then compared and judged to determine whether the rolling bearing fails.

[0060] Preferably, the above-mentioned comparison processing of the real-time operating temperature data, real-time operating pressure data, real-time operating vibration data, and the fault characteristics of the rolling bearing based on the data processing terminal to determine the real-time state of the rolling bearing specifically includes the following steps:

[0061] Based on the data processing terminal, perform judgment processing on the real-time operating temperature data, real-time operating pressure data, real-time operating vibration data, and the fault characteristics of the rolling bearing;

[0062] If the real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data do not meet the requirements of the slight fault temperature characteristics, slight fault vibration characteristics, and slight fault pressure characteristics, the rolling bearing operates normally;

[0063] If the real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data meet the requirements of the slight fault temperature characteristics, slight fault vibration characteristics, and slight fault pressure characteristics, and the real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data do not meet the requirements of the severe fault temperature characteristics, severe fault vibration characteristics, and severe fault pressure characteristics, a slight fault occurs in the rolling bearing. After the crusher stops working, repair the rolling bearing;

[0064] If the real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data meet the requirements of the severe fault temperature characteristics, severe fault vibration characteristics, and severe fault pressure characteristics, a severe fault occurs in the rolling bearing, the crusher stops working, and replace the rolling bearing.

[0065] Furthermore, a data processing system for the rolling bearing of a crusher based on data analysis is proposed, which is used to implement a data processing method for the rolling bearing of a crusher based on data analysis as described above, including:

[0066] A data processing terminal, which is used to classify the fault level of the rolling bearing of the crusher, determine the fault time, determine the fault characteristics, and monitor the real-time state of the rolling bearing;

[0067] A database system, which is used to store the maintenance standards of the rolling bearing, the historical operation data of the rolling bearing of the crusher, and the maintenance records of the rolling bearing of the crusher;

[0068] A data acquisition device, which is used to collect data from the running rolling bearing and obtain the real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data;

[0069] The data acquisition device is specifically a temperature sensor, a pressure sensor, and a vibration sensor;

[0070] Among them, the following are integrated inside the data processing terminal:

[0071] A microcontroller, which is used to control data transmission and information interaction between each module;

[0072] A data extraction module, which is used to perform data extraction processing on the database system;

[0073] A data classification module, which classifies the historical data of the rolling bearing of the crusher according to the data classification method of the rolling bearing of the crusher;

[0074] A data preprocessing module, which is used to denoise, fill in missing values for the operating temperature data of the rolling bearing to be preprocessed, the operating vibration data of the rolling bearing to be preprocessed, and the operating pressure data of the rolling bearing to be preprocessed;

[0075] A fault level classification module, which is used to analyze and process the maintenance plan of the rolling bearing to determine the fault level of the rolling bearing;

[0076] A fault time determination module, which is used to analyze and process the maintenance plan of the rolling bearing to determine the fault time of the rolling bearing;

[0077] A fault feature determination module, which is used to analyze and process the fault time of the rolling bearing and the operating data of different types of the rolling bearing to determine the fault features of the rolling bearing;

[0078] A status monitoring module, which is used to monitor the real-time data of the rolling bearing to determine the real-time status of the rolling bearing.

[0079] Furthermore, a storage medium is proposed, on which a computer program is stored. When the computer program is called and run, it executes a method for processing data of a rolling bearing of a crusher based on data analysis as described above.

[0080] Compared with the prior art, the present invention provides a method and system for processing data of a rolling bearing of a crusher based on data analysis, having the following beneficial effects:

[0081] First, the present invention conducts data analysis on the historical operating data of the rolling bearing of the crusher to determine the operating data of different types of the rolling bearing. Secondly, it conducts fault analysis on the maintenance records of the rolling bearing of the crusher to determine the fault level and fault time of the rolling bearing. Then, it conducts feature analysis on the fault time of the rolling bearing and the operating data of different types of the rolling bearing to determine the fault features of the rolling bearing. Finally, it conducts status analysis on the operating rolling bearing through the fault features of the rolling bearing and the fault level of the rolling bearing to determine whether the rolling bearing has a fault. The above method can not only monitor the status of the rolling bearing in real time, but also determine the rolling bearing with a minor fault, and then repair the rolling bearing with a minor fault, reducing the production cost and shortening the production cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 It is a schematic flowchart of steps S100 - S500 in a method for processing data of a rolling bearing of a crusher based on data analysis proposed by the present invention;

[0083] Figure 2Schematic flow diagram of steps S201 - S203 in a data processing method for a rolling bearing of a crusher based on data analysis proposed by the present invention;

[0084] Figure 3 Schematic flow diagram of steps S301 - S304 in a data processing method for a rolling bearing of a crusher based on data analysis proposed by the present invention;

[0085] Figure 4 Schematic flow diagram of steps S3031 - S3034 in a data processing method for a rolling bearing of a crusher based on data analysis proposed by the present invention;

[0086] Figure 5 Schematic flow diagram of steps S3041 - S3044 in a data processing method for a rolling bearing of a crusher based on data analysis proposed by the present invention;

[0087] Figure 6 Schematic flow diagram of steps S401 - S406 in a data processing method for a rolling bearing of a crusher based on data analysis proposed by the present invention;

[0088] Figure 7 Schematic flow diagram of steps S4041 - S4044 in a data processing method for a rolling bearing of a crusher based on data analysis proposed by the present invention;

[0089] Figure 8 Schematic flow diagram of steps S501 - S502 in a data processing method for a rolling bearing of a crusher based on data analysis proposed by the present invention;

[0090] Figure 9 Schematic flow diagram of steps S5021 - S5024 in a data processing method for a rolling bearing of a crusher based on data analysis proposed by the present invention;

[0091] Figure 10 Block diagram of the structure of a data processing system for a rolling bearing of a crusher based on data analysis proposed by the present invention. Detailed implementation manners

[0092] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments in the following description are only examples, and those skilled in the art can think of other obvious variations.

[0093] Refer to Figure 1 As shown, a data processing method for a rolling bearing of a crusher based on data analysis includes:

[0094] S100. Obtain the historical operation data of the rolling bearing of the crusher and the maintenance records of the rolling bearing of the crusher;

[0095] S200. Based on the data processing terminal, analyze and process the historical operation data of the rolling bearing of the crusher to obtain different types of operation data of the rolling bearing. The different types of operation data of the rolling bearing include the operation temperature data of the rolling bearing, the operation vibration data of the rolling bearing, and the operation pressure data of the rolling bearing;

[0096] S300. Based on the data processing terminal, analyze and process the maintenance records of the rolling bearing of the crusher to determine the fault level and fault time of the rolling bearing. Among them, the fault level of the rolling bearing includes minor faults and serious faults, and the fault time of the rolling bearing includes minor fault time and serious fault time;

[0097] S400. Based on the data processing terminal, analyze and process the fault time of the rolling bearing and different types of operation data of the rolling bearing to determine the fault characteristics of the rolling bearing. Among them, the fault characteristics of the rolling bearing include minor fault characteristics of the rolling bearing and serious fault characteristics of the rolling bearing. The minor fault characteristics of the rolling bearing include minor fault temperature characteristics, minor fault vibration characteristics, and minor fault pressure characteristics. The serious fault characteristics of the rolling bearing include serious fault temperature characteristics, serious fault vibration characteristics, and serious fault pressure characteristics;

[0098] S500. The data processing terminal monitors the real-time data of the rolling bearing with the fault characteristics of the rolling bearing and the fault level of the rolling bearing as features to determine the real-time state of the rolling bearing;

[0099] Those skilled in the art can understand that if the real-time data of the rolling bearing is not analyzed, it is impossible to accurately grasp the real-time state of the rolling bearing. If the rolling bearing has a minor fault and is put into the next use without repair, it may accelerate the reduction of the service life of the rolling bearing, and even directly cause the rolling bearing to malfunction during use, resulting in the interruption of the production process and the extension of the production cycle. Therefore, by analyzing the historical operation data of the rolling bearing and the maintenance records of the rolling bearing, determining the fault characteristics of the rolling bearing and the fault level of the rolling bearing, and analyzing the real-time operation temperature data, real-time operation pressure data, and real-time operation vibration data through the fault characteristics of the rolling bearing and the fault level of the rolling bearing, it is possible to determine whether the rolling bearing needs to be repaired or replaced, which not only improves the service life of the rolling bearing but also reduces the production cost.

[0100] Refer to Figure 2 As shown in the figure, based on the data processing terminal, the specific steps for analyzing and processing the historical operation data of the rolling bearing of the crusher to obtain different types of operation data of the rolling bearing are as follows:

[0101] S201. Based on the data processing terminal, analyze the storage method of the historical operation data of the crusher rolling bearing to determine the data classification method of the crusher rolling bearing;

[0102] S202. Based on the data processing terminal, classify the historical operation data of the crusher rolling bearing with reference to the data classification method of the crusher rolling bearing to obtain the operating temperature data of the rolling bearing to be preprocessed, the operating vibration data of the rolling bearing to be preprocessed, and the operating pressure data of the rolling bearing to be preprocessed;

[0103] S203. Based on the data processing terminal, perform data preprocessing on the operating temperature data of the rolling bearing to be preprocessed, the operating vibration data of the rolling bearing to be preprocessed, and the operating pressure data of the rolling bearing to be preprocessed respectively to obtain the operating temperature data of the rolling bearing, the operating vibration data of the rolling bearing, and the operating pressure data of the rolling bearing. The data preprocessing includes denoising and missing value filling;

[0104] In this embodiment, the storage method of the historical operation data of the rolling bearing may be encrypted storage or public storage. Therefore, determine the storage method of the historical operation data of the rolling bearing through the data classification method of the crusher rolling bearing. In addition, the historical operation data of the rolling bearing may be missing during acquisition or storage. In order to make the subsequent analysis process more convenient for preprocessing, fill or delete the missing values.

[0105] Refer to Figure 3 As shown, based on the data processing terminal, analyze and process the maintenance records of the crusher rolling bearing to determine the fault level and fault time of the rolling bearing, which specifically include the following steps:

[0106] S301. Based on the data processing terminal, perform data extraction processing on the database system to obtain the maintenance standard of the rolling bearing;

[0107] S302. Based on the data processing terminal, classify the maintenance records of the crusher rolling bearing with the maintenance standard of the rolling bearing as a feature to obtain the normal maintenance records of the rolling bearing and the maintenance plan of the rolling bearing. The maintenance plan is any one of the rolling bearing repair plan or the rolling bearing replacement plan;

[0108] S303. Based on the data processing terminal, analyze and process the maintenance plan of the rolling bearing to determine the fault level of the rolling bearing;

[0109] S304. Based on the data processing terminal, analyze and process the maintenance plan of the rolling bearing to determine the fault time of the rolling bearing;

[0110] In this embodiment, the rolling bearings used in crushers of different models may be different. Therefore, their maintenance standards may also be different. Thus, a repair on one model of crusher may be considered a maintenance on another model. Therefore, it is necessary to determine whether it is normal maintenance or repair based on the maintenance standard of the rolling bearing.

[0111] Refer to Figure 4 As shown, based on the data processing terminal, analyzing and processing the maintenance plan for the rolling bearing to determine the fault level of the rolling bearing specifically includes the following steps:

[0112] S3031. If the maintenance plan is a rolling bearing repair plan;

[0113] S3032. The rolling bearing does not need to be replaced and can continue to be used through repair. The fault level of the rolling bearing is a minor fault;

[0114] S3033. If the maintenance plan is a rolling bearing replacement plan;

[0115] S3034. The rolling bearing cannot continue to be used and needs to be replaced. The fault level of the rolling bearing is a serious fault;

[0116] In this embodiment, the maintenance plan may be to repair the rolling bearing or to replace the rolling bearing. Therefore, the fault level of the rolling bearing is determined by repairing or replacing the rolling bearing.

[0117] Refer to Figure 5 As shown, based on the data processing terminal, analyzing and processing the maintenance plan for the rolling bearing to determine the fault time of the rolling bearing specifically includes the following steps:

[0118] S3041. If the maintenance plan is a rolling bearing repair plan;

[0119] S3042. Based on the data processing terminal, perform time analysis and processing on the rolling bearing repair plan to determine the minor fault time;

[0120] S3043. If the maintenance plan is a rolling bearing replacement plan;

[0121] S3044. Based on the data processing terminal, perform time analysis and processing on the rolling bearing replacement plan to determine the serious fault time;

[0122] In this embodiment, if the data of the rolling bearing collected is not analyzed, it is impossible to determine whether the rolling bearing has a fault. Therefore, it is determined whether the rolling bearing has a fault through each maintenance plan. If the maintenance plan shows that the rolling bearing has a minor fault, it is necessary to record the moment before the end of the last use of the rolling bearing, that is, the minor fault moment, because the data of the rolling bearing at this time already indicates that the rolling bearing has a fault. Therefore, it is necessary to extract the operating temperature data, operating vibration data, and operating pressure data of the rolling bearing before the end of the last use through this moment, and analyze them to further determine the fault characteristics of the rolling bearing.

[0123] Referring to Figure 6 As shown, based on the data processing terminal, analyzing and processing the fault moment of the rolling bearing and the operating data of different types of the rolling bearing to determine the fault characteristics of the rolling bearing specifically includes the following steps:

[0124] S401. If the fault moment of the rolling bearing is the minor fault moment;

[0125] S402. Based on the data processing terminal, respectively extract and process the operating temperature data, operating vibration data, and operating pressure data of the rolling bearing with the minor fault moment as the feature to obtain multiple groups of minor fault temperature data, multiple groups of minor fault vibration data, and multiple groups of minor fault pressure data;

[0126] S403. Based on the data processing terminal, respectively sort multiple groups of minor fault temperature data and multiple groups of minor fault pressure data to obtain minor fault temperature characteristics and minor fault pressure characteristics;

[0127] S404. Based on the data processing terminal, analyze and process multiple groups of minor fault vibration data to obtain minor fault vibration characteristics;

[0128] S405. If the fault moment of the rolling bearing is the severe fault moment;

[0129] S406. Based on the data processing terminal, respectively analyze and process the operating temperature data, operating vibration data, and operating pressure data of the rolling bearing to obtain severe fault temperature characteristics, severe fault vibration characteristics, and severe fault pressure characteristics;

[0130] In this embodiment, if the data of the rolling bearing is not analyzed in real time, it is impossible to determine what data of the rolling bearing represents a slight failure or even a serious failure of the rolling bearing. Only the fault characteristics of the rolling bearing can be approximately determined through the maintenance plan. Because, the crusher needs to be maintained after being used for a period of time, and slight or even serious failures of the rolling bearing may be found during maintenance, but it is impossible to determine when it started. However, the data during each maintenance may be different, and there are multiple data when slight or serious failures occur. The minimum value among the multiple data is selected and set as the fault characteristic of the rolling bearing, and it is repaired or replaced according to the fault characteristic of the rolling bearing.

[0131] Referring Figure 7 As shown, based on the data processing terminal, analyzing and processing multiple groups of slight-failure vibration data to obtain the slight-failure vibration characteristics specifically includes the following steps:

[0132] S4041. Based on the data processing terminal, perform data extraction processing on the database system to obtain all the vibration data inside the crusher;

[0133] S4042. Based on the fast Fourier transform algorithm, perform frequency-domain conversion on multiple groups of slight-failure vibration data and all the vibration data inside the crusher to obtain multiple groups of slight-failure vibration spectrum data and all the vibration spectrum data inside the crusher;

[0134] S4043. Based on the data processing terminal, perform matching processing on multiple groups of slight-failure vibration spectrum data with all the vibration spectrum data inside the crusher as the feature to obtain multiple groups of real slight-failure vibration spectrum data;

[0135] S4044. Based on the data processing terminal, perform sorting processing on multiple groups of real slight-failure vibration spectrum data to obtain the slight-failure vibration characteristics;

[0136] In this embodiment, the crusher is composed of multiple mechanisms. During the use of the crusher, various vibration signals will be generated. However, the vibration sensor collects all the vibration signals, and what we need is the vibration signal of the rolling bearing. However, the frequency spectra of the vibration signals of different mechanisms are different. Therefore, by screening in the frequency domain, the vibration spectrum data of the rolling bearing is determined, and then the vibration spectrum data of the rolling bearing is sorted to determine the slight-failure vibration characteristics.

[0137] Referring Figure 8 As shown, the data processing terminal monitors the real-time data of the rolling bearing with the fault characteristics of the rolling bearing and the fault level of the rolling bearing as the features to determine the real-time state of the rolling bearing, specifically including the following steps:

[0138] S501. Based on the data processing terminal, collect data on the running rolling bearing to obtain real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data;

[0139] S502. Based on the data processing terminal, compare and process the real-time operating temperature data, real-time operating pressure data, real-time operating vibration data, and the fault characteristics of the rolling bearing to determine the real-time status of the rolling bearing.

[0140] Refer to Figure 9 As shown, based on the data processing terminal, comparing and processing the real-time operating temperature data, real-time operating pressure data, real-time operating vibration data, and the fault characteristics of the rolling bearing to determine the real-time status of the rolling bearing specifically includes the following steps:

[0141] S5021. Based on the data processing terminal, perform judgment processing on the real-time operating temperature data, real-time operating pressure data, real-time operating vibration data, and the fault characteristics of the rolling bearing;

[0142] S5022. If the real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data do not meet the requirements of the slight fault temperature characteristics, slight fault vibration characteristics, and slight fault pressure characteristics, the rolling bearing operates normally;

[0143] S5023. If the real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data meet the requirements of the slight fault temperature characteristics, slight fault vibration characteristics, and slight fault pressure characteristics, and the real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data do not meet the requirements of the severe fault temperature characteristics, severe fault vibration characteristics, and severe fault pressure characteristics, the rolling bearing has a slight fault. After the crusher stops working, repair the rolling bearing;

[0144] S5024. If the real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data meet the requirements of the severe fault temperature characteristics, severe fault vibration characteristics, and severe fault pressure characteristics, the rolling bearing has a severe fault, the crusher stops working, and replace the rolling bearing;

[0145] In this embodiment, real-time data of the running rolling bearing is collected through a temperature sensor, a pressure sensor, and a vibration sensor. Then, comprehensive analysis is performed on the collected real-time data, the fault characteristics of the rolling bearing, and the fault level of the rolling bearing to determine the real-time state of the rolling bearing. If the real-time state of the rolling bearing is normal, no maintenance is required. If the real-time state of the rolling bearing is a minor fault, after the rolling bearing completes this production task, it is repaired to avoid the rolling bearing carrying a minor fault into the next production task, extending the service life of the rolling bearing. If the real-time state of the rolling bearing is a serious fault, the production task needs to be stopped, and the rolling bearing needs to be replaced to avoid continued use, which may cause damage to the crusher and require large-scale repair or replacement of the internal mechanisms of the crusher, extending the production cycle and increasing the production cost.

[0146] Referring to Figure 10 As shown, a data processing system for the rolling bearing of a crusher based on data analysis is used to implement a data processing method for the rolling bearing of a crusher based on data analysis as described above, including:

[0147] A data processing terminal, which is used to classify the fault level of the rolling bearing of the crusher, determine the fault time, determine the fault characteristics, and monitor the real-time state of the rolling bearing;

[0148] A database system, which is used to store the maintenance standards of the rolling bearing, the historical operation data of the rolling bearing of the crusher, and the maintenance records of the rolling bearing of the crusher;

[0149] A data acquisition device, which is used to collect data of the running rolling bearing to obtain real-time running temperature data, real-time running pressure data, and real-time running vibration data;

[0150] Among them, the following are integrated inside the data processing terminal:

[0151] A microcontroller, which is used to control data transmission and information interaction between various modules;

[0152] A data extraction module, which is used to perform data extraction processing on the database system;

[0153] A data classification module, which classifies the historical data of the rolling bearing of the crusher according to the data classification method of the rolling bearing of the crusher;

[0154] A data preprocessing module, which is used to denoise and fill in missing values for the running temperature data of the rolling bearing to be preprocessed, the running vibration data of the rolling bearing to be preprocessed, and the running pressure data of the rolling bearing to be preprocessed;

[0155] A fault level classification module, which is used to analyze and process the maintenance plan of the rolling bearing to determine the fault level of the rolling bearing;

[0156] A fault time determination module, which is used to analyze and process the maintenance plan of the rolling bearing to determine the fault time of the rolling bearing;

[0157] A fault feature determination module, which is used to analyze and process the fault time of the rolling bearing and the operation data of different types of the rolling bearing to determine the fault features of the rolling bearing;

[0158] A status monitoring module, which is used to monitor the real-time data of the rolling bearing to determine the real-time status of the rolling bearing.

[0159] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. What is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection claimed by the present invention is defined by the appended claims and their equivalents.

Claims

1. A crusher rolling bearing data processing method based on data analysis, characterized in that: include: Obtain the historical operation data of the crusher rolling bearing and the maintenance record of the crusher rolling bearing; Based on the data processing terminal, the historical operation data of the crusher rolling bearing is analyzed and processed to obtain different types of operation data of the rolling bearing, wherein the different types of operation data of the rolling bearing include the operation temperature data of the rolling bearing, the operation vibration data of the rolling bearing and the operation pressure data of the rolling bearing; Based on the data processing terminal, the maintenance record of the crusher rolling bearing is analyzed and processed to determine the fault level of the rolling bearing and the fault time of the rolling bearing, wherein the fault level of the rolling bearing includes a minor fault and a major fault, and the fault time of the rolling bearing includes a minor fault time and a major fault time; Based on the data processing terminal, the rolling bearing failure time and different types of running data of the rolling bearing are analyzed and processed to determine the rolling bearing failure characteristics, wherein the rolling bearing failure characteristics include the rolling bearing minor failure characteristics and the rolling bearing major failure characteristics, the rolling bearing minor failure characteristics include the minor failure temperature characteristics, the minor failure vibration characteristics and the minor failure pressure characteristics, and the rolling bearing major failure characteristics include the major failure temperature characteristics, the major failure vibration characteristics and the major failure pressure characteristics; The data processing terminal monitors the real-time data of the rolling bearing based on the rolling bearing fault characteristics and the rolling bearing fault levels, and determines the real-time status of the rolling bearing.

2. A crusher rolling bearing data processing method based on data analysis according to claim 1, characterized in that: The method of analyzing and processing the historical operation data of the crusher rolling bearing based on the data processing terminal to obtain different types of operation data of the rolling bearing specifically includes the following steps: Based on the data processing terminal, the storage method of the historical operation data of the crusher rolling bearing is analyzed to determine the data classification method of the crusher rolling bearing; Based on the data processing terminal, the historical operation data of the crusher rolling bearing is classified and processed with reference to the data classification method of the crusher rolling bearing, and the operation temperature data of the rolling bearing to be preprocessed, the operation vibration data of the rolling bearing to be preprocessed, and the operation pressure data of the rolling bearing to be preprocessed are obtained; Based on the data processing terminal, data preprocessing is performed on the operating temperature data of the rolling bearing to be preprocessed, the operating vibration data of the rolling bearing to be preprocessed, and the operating pressure data of the rolling bearing to be preprocessed, respectively, to obtain the operating temperature data of the rolling bearing, the operating vibration data of the rolling bearing, and the operating pressure data of the rolling bearing, wherein the data preprocessing includes denoising and missing value filling.

3. A crusher rolling bearing data processing method based on data analysis according to claim 1, characterized in that: The method of analyzing and processing the maintenance record of the crusher rolling bearing based on the data processing terminal to determine the failure level and failure time of the rolling bearing specifically includes the following steps: Based on the data processing terminal, the database system is processed for data extraction to obtain the maintenance standards of rolling bearings; Based on the data processing terminal, the maintenance records of the crusher rolling bearings are classified and processed based on the maintenance standards of the rolling bearings, and the normal maintenance records of the rolling bearings and the maintenance plan of the rolling bearings are obtained, and the maintenance plan is any one of a rolling bearing repair plan or a rolling bearing replacement plan; Based on the data processing terminal, the maintenance plan of the rolling bearing is analyzed and processed to determine the fault level of the rolling bearing; Based on the data processing terminal, the maintenance plan of the rolling bearing is analyzed and processed to determine the failure time of the rolling bearing.

4. A crusher rolling bearing data processing method based on data analysis according to claim 3, characterized in that: The method of analyzing and processing the maintenance plan of the rolling bearing based on the data processing terminal to determine the fault level of the rolling bearing specifically includes the following steps: If the maintenance plan is a rolling bearing maintenance plan; The rolling bearing does not need to be replaced and can continue to be used after repair. The failure level of the rolling bearing is a minor failure. If the maintenance plan is a rolling bearing replacement plan; The rolling bearing cannot be used any more and needs to be replaced. The failure level of the rolling bearing is a serious failure.

5. The crusher rolling bearing data processing method based on data analysis according to claim 3 is characterized in that: The method of analyzing and processing the maintenance plan of the rolling bearing based on the data processing terminal to determine the failure time of the rolling bearing specifically includes the following steps: If the maintenance plan is a rolling bearing maintenance plan; Based on the data processing terminal, the rolling bearing maintenance plan is analyzed and processed in time to determine the time of minor failure; If the maintenance plan is a rolling bearing replacement plan; Based on the data processing terminal, the rolling bearing replacement plan is analyzed and processed to determine the moment of serious failure.

6. A crusher rolling bearing data processing method based on data analysis according to claim 1, characterized in that: The method of analyzing and processing the rolling bearing failure time and different types of running data of the rolling bearing based on the data processing terminal to determine the rolling bearing failure characteristics specifically includes the following steps: If the rolling bearing failure moment is a minor failure moment; Based on the data processing terminal, the operating temperature data, the operating vibration data and the operating pressure data of the rolling bearing are respectively extracted and processed based on the minor fault moment, so as to obtain multiple groups of minor fault temperature data, multiple groups of minor fault vibration data and multiple groups of minor fault pressure data; Based on the data processing terminal, multiple groups of minor fault temperature data and multiple groups of minor fault pressure data are sorted and processed respectively to obtain minor fault temperature characteristics and minor fault pressure characteristics; Based on the data processing terminal, multiple groups of minor fault vibration data are analyzed and processed to obtain minor fault vibration characteristics; If the rolling bearing failure moment is a serious failure moment; Based on the data processing terminal, the operating temperature data of the rolling bearing, the operating vibration data of the rolling bearing and the operating pressure data of the rolling bearing are analyzed and processed respectively to obtain the severe fault temperature characteristics, severe fault vibration characteristics and severe fault pressure characteristics.

7. A crusher rolling bearing data processing method based on data analysis according to claim 6, characterized in that: The method of analyzing and processing multiple groups of minor fault vibration data based on the data processing terminal to obtain minor fault vibration characteristics specifically includes the following steps: Based on the data processing terminal, the database system is processed to extract data and obtain all vibration data inside the crusher; Based on the fast Fourier transform algorithm, multiple sets of minor fault vibration data and all vibration data inside the crusher are converted into frequency domain to obtain multiple sets of minor fault vibration spectrum data and all vibration spectrum data inside the crusher; Based on the data processing terminal, multiple groups of minor fault vibration spectrum data are matched and processed with all the vibration spectrum data inside the crusher as features to obtain multiple groups of real minor fault vibration spectrum data; Based on the data processing terminal, multiple groups of real minor fault vibration spectrum data are sorted and processed to obtain minor fault vibration characteristics.

8. The crusher rolling bearing data processing method based on data analysis according to claim 1 is characterized in that: The data processing terminal monitors the real-time data of the rolling bearing based on the rolling bearing fault characteristics and the rolling bearing fault level as characteristics, and determines the real-time state of the rolling bearing, specifically including the following steps: Based on the data processing terminal, data collection is performed on the running rolling bearing to obtain real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data; Based on the data processing terminal, the real-time operating temperature data, the real-time operating pressure data, the real-time operating vibration data and the rolling bearing fault characteristics are compared and processed to determine the real-time status of the rolling bearing.

9. A crusher rolling bearing data processing method based on data analysis according to claim 8, characterized in that: The method of comparing the real-time operating temperature data, the real-time operating pressure data, the real-time operating vibration data and the rolling bearing fault characteristics based on the data processing terminal to determine the real-time state of the rolling bearing specifically includes the following steps: Based on the data processing terminal, the real-time operating temperature data, real-time operating pressure data, real-time operating vibration data and rolling bearing fault characteristics are judged and processed; If the real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data do not meet the requirements of the temperature characteristics of a minor fault, the vibration characteristics of a minor fault, and the pressure characteristics of a minor fault, the rolling bearing is operating normally; If the real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data meet the requirements of temperature characteristics of minor faults, vibration characteristics of minor faults, and pressure characteristics of minor faults, and the real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data do not meet the requirements of temperature characteristics of serious faults, vibration characteristics of serious faults, and pressure characteristics of serious faults, the rolling bearing has a minor fault, and the crusher stops working, the rolling bearing shall be repaired; If the real-time operating temperature data, real-time operating pressure data, and real-time operating vibration data meet the requirements of severe fault temperature characteristics, severe fault vibration characteristics, and severe fault pressure characteristics, the rolling bearing has a serious fault, the crusher stops working, and the rolling bearing is replaced.

10. A crusher rolling bearing data processing system based on data analysis, used to implement a crusher rolling bearing data processing method based on data analysis as claimed in any one of claims 1 to 9, characterized in that: include: A data processing terminal, the data processing terminal is used to classify the fault level of the crusher rolling bearing, determine the fault time, determine the fault characteristics, and monitor the real-time status of the rolling bearing; A database system, the database system is used to store the maintenance standards of the rolling bearings, the historical operation data of the crusher rolling bearings and the maintenance records of the crusher rolling bearings; A data acquisition device, wherein the data acquisition device is used to collect data on the running rolling bearing to obtain real-time running temperature data, real-time running pressure data and real-time running vibration data; The data processing terminal is internally integrated with: A microcontroller, which is used to control data transmission and information interaction between various modules; A data extraction module, wherein the data extraction module is used to perform data extraction processing on the database system; A data classification module, wherein the data classification module classifies and processes the historical data of the crusher rolling bearing according to the data classification method of the crusher rolling bearing; A data preprocessing module, the data preprocessing module is used to perform denoising and missing value filling on the operating temperature data of the rolling bearing to be preprocessed, the operating vibration data of the rolling bearing to be preprocessed, and the operating pressure data of the rolling bearing to be preprocessed; A fault level classification module, wherein the fault level classification module is used to analyze and process the maintenance plan of the rolling bearing and determine the fault level of the rolling bearing; A failure moment determination module, the failure moment determination module is used to analyze and process the maintenance plan of the rolling bearing and determine the failure moment of the rolling bearing; A fault feature determination module, the fault feature determination module is used to analyze and process the fault time of the rolling bearing and different types of operating data of the rolling bearing to determine the fault feature of the rolling bearing; A state monitoring module is used to monitor the real-time data of the rolling bearing and determine the real-time state of the rolling bearing.

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