Vibration data acquisition method and device of rolling mill equipment, equipment and medium
By determining key monitoring points on the rolling mill equipment and selecting appropriate sensors, collecting and preprocessing vibration data in real time, and performing classified storage and tag addition, the data quality problems caused by long acquisition intervals in the prior art are solved, and efficient and accurate vibration data acquisition and analysis are achieved.
Patent Information
- Application Number
- CN202510076912.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-17
- Publication Date
- 2025-05-27
AI Technical Summary
Due to the long acquisition interval of existing rolling mill equipment, it is difficult to quickly determine whether external interference is occasional or continuous, which increases the difficulty of on-site investigation of interference sources and the data quality is easily damaged.
By determining key monitoring points on the rolling mill equipment, selecting ICP or piezoelectric acceleration sensor to capture vibration signals, collect and preprocess in real time, classify and store and label it for easy subsequent analysis.
It realizes accurate and reliable collection and analysis of vibration data of rolling mill equipment, improves data quality and availability, simplifies fault diagnosis and prediction, and ensures the stable operation of rolling mill equipment.
Smart Images
Figure CN120043617A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of data acquisition, and specifically relates to a vibration data acquisition method, device, equipment and medium for rolling mill equipment. Background Art
[0002] The vibration data acquisition of rolling mill equipment is a comprehensive process, involving multiple levels such as methods, devices, equipment and media. Through specific technical means, sensors are arranged on the rolling mill equipment to capture vibration signals, and a data acquisition system is used for real-time acquisition, processing and analysis. This is the core of the vibration data acquisition method. The hardware components or systems that implement this function constitute the vibration data acquisition device, including sensors, data acquisition modules and data processing units, etc. Further, a system integrating the data acquisition device and related software forms the vibration data acquisition equipment, which can not only comprehensively collect data, but also conduct in-depth analysis and generate visualization reports. In addition, vibration data can be stored and transmitted through physical media such as hard disks, flash drives, optical discs or virtual means such as networks and cloud storage to ensure the security, availability and cross-system sharing of data. In the fault diagnosis of existing rolling mill equipment, the analysis of vibration acceleration data occupies a core position. However, considering the slow characteristics of rolling mill vibration changes and the high storage requirements of single-batch vibration data, a relatively long vibration acquisition interval is usually adopted, such as once every 30 minutes to 2 hours, to reduce storage costs and maintain monitoring efficiency. But this strategy may encounter challenges in actual operation: if there is external interference during the acquisition moment, or disturbance during the moment when steel enters and exits the rolling mill, the data quality will be damaged, and even mislead subsequent algorithms to generate false alarms. What's more troublesome is that due to the long acquisition interval, it is difficult to quickly determine whether the interference is occasional or continuous, which undoubtedly increases the difficulty of on-site investigation of the interference source. Summary of the Invention
[0003] The purpose of the present invention is to provide a vibration data acquisition method, device, equipment and medium for rolling mill equipment to solve the problems raised in the above background art.
[0004] To achieve the above purpose, the present invention provides the following technical solution: A vibration data acquisition method for rolling mill equipment, and the specific use steps of this acquisition method are as follows:
[0005] S1: Determine the monitoring points and select sensors: Select key monitoring points on the rolling mill, including roll bearing seats and the frame, and use ICP or piezoelectric acceleration sensors to capture vibration signals;
[0006] S2: Install and calibrate the sensors: Install the sensors at the monitoring points to ensure close contact and calibrate the sensitivity and sampling frequency to ensure accurate data;
[0007] S3: Set up the data acquisition system: Start the data acquisition system, configure the sampling frequency and time parameters to ensure real-time reception and processing of vibration data;
[0008] S4: Real-time collect and preprocess data: When the rolling mill is running, start the acquisition system, preprocess the data by filtering out noise, and store it in a specified format for analysis;
[0009] S5: Classify and store and analyze data: Classify and store the data according to the rolling mill status, retrieve and analyze it after adding tags, and evaluate the vibration status and performance.
[0010] Preferably, the specific steps for determining the monitoring points and selecting sensors in S1 are as follows:
[0011] Step 1: Determine the monitoring points
[0012] On the rolling mill equipment, carefully select the key positions of the roll bearing housing and the frame as vibration monitoring points to ensure that these points can truly reflect the vibration of the rolling mill;
[0013] Step 2: Select sensors
[0014] According to the vibration characteristics and frequency range of the rolling mill, select a suitable acceleration sensor, preferably an ICP type or piezoelectric acceleration sensor, to ensure that the sensor can accurately capture vibration signals;
[0015] Step 3: Install and debug the sensors
[0016] Install the selected sensor on the previously determined monitoring point and debug it to ensure that the sensor is properly connected to the data acquisition system and can transmit vibration data in real time and accurately.
[0017] Preferably, installing and calibrating the sensors in S2 means that when installing the vibration monitoring system of the rolling mill equipment, firmly install the selected acceleration sensor at the key position of the roll bearing housing or the frame. During the installation process, special attention needs to be paid to ensuring close contact between the sensor and the rolling mill equipment to reduce external signal interference and improve the accuracy of data acquisition. Subsequently, according to the vibration characteristics and frequency range of the rolling mill, finely adjust the sensitivity and sampling frequency of the sensor to adapt to the actual vibration situation of the rolling mill.
[0018] Preferably, setting up the data acquisition system in S3 means that when starting to collect vibration data of the rolling mill equipment, first start the data acquisition system and perform initialization settings. Immediately afterwards, carefully configure the sampling parameters, including the sampling frequency and sampling time length. The setting of these parameters is crucial to ensure that the data acquisition system can receive and process vibration data in real time according to the predetermined requirements.
[0019] Preferably, the specific steps for real-time collecting and preprocessing data in S4:
[0020] Step 1: Start data collection
[0021] When the rolling mill equipment starts and begins to operate, immediately start the data acquisition system to ensure that the system can capture and record the vibration data of the rolling mill equipment in real time;
[0022] Step 2: Data preprocessing
[0023] Perform necessary preprocessing on the collected original vibration data, including filtering and denoising steps, to eliminate noise and interference in the data and improve the accuracy and reliability of the data;
[0024] Step 3: Data formatting and storage
[0025] Organize the preprocessed data according to the specified format and store it in the designated location to facilitate the smooth progress of subsequent data analysis and processing.
[0026] Preferably, the specific steps for classifying, storing, and analyzing data in S5 are as follows:
[0027] Step 1: Dynamically classify and store data
[0028] Dynamically classify and store the vibration data according to the real-time operating state of the rolling mill. No data is stored in the standby state, and corresponding data packets are saved separately in the no-load and load states;
[0029] Step 2: Add detailed label information
[0030] Add detailed labels to each stored data packet, including acquisition time, rolling mill status, and key information of the rack position, to facilitate subsequent data retrieval and analysis;
[0031] Step 3: Data retrieval and analysis
[0032] According to the analysis requirements, retrieve specific categories of data from the stored data, classify and analyze them, and comprehensively evaluate the vibration status and performance of the rolling mill.
[0033] Preferably, the device includes:
[0034] Monitoring point determination module: used to carefully select the roll bearing seats and key positions of the rack on the rolling mill equipment as vibration monitoring points;
[0035] Sensor selection and installation module: Select a suitable acceleration sensor according to the vibration characteristics and frequency range of the rolling mill and firmly install it on the previously determined monitoring points;
[0036] Sensor calibration module: used to finely adjust the sensitivity and sampling frequency of the sensor according to the vibration characteristics and frequency range of the rolling mill after the sensor is installed;
[0037] Data acquisition system setting module: used to start the data acquisition system, perform initialization settings, and carefully configure the sampling parameters;
[0038] Data real-time acquisition and preprocessing module: used to immediately start the data acquisition system when the rolling mill equipment starts and begins to run, capture and record the vibration data of the rolling mill equipment in real time, and perform preprocessing work;
[0039] Data formatting and storage module: used to organize the preprocessed data in a specified format and store it in a specified location;
[0040] Data classification storage and analysis module: used to dynamically classify and store the vibration data according to the real-time operating state of the rolling mill, add detailed tag information to each stored data packet, and then retrieve specific categories of data from the stored data for classification and analysis according to the analysis requirements.
[0041] Preferably, it includes data acquisition hardware, data analysis software, and data storage devices;
[0042] The data acquisition hardware is responsible for capturing the vibration signal and converting it into digital data,
[0043] The data analysis software processes and analyzes the acquired data, and the data storage device is used to store and manage the acquired data for subsequent retrieval and analysis, so as to execute the vibration data acquisition method of the rolling mill equipment described in any one of claims 1 to 6.
[0044] Preferably, a hard disk is stored on the computer-readable storage medium, and the hard disk executes the data storage of the vibration data acquisition method of the rolling mill equipment described in any one of claims 1 to 6.
[0045] The beneficial effects of the present invention are as follows:
[0046] By carefully selecting monitoring points and choosing appropriate sensors, the present invention can truly reflect the vibration condition of the rolling mill, ensuring the accuracy of data. Installing and calibrating the sensors, as well as setting up the data acquisition system, lay a solid foundation for subsequent data acquisition and processing. Real-time acquisition and preprocessing of data improve the reliability and availability of the data. Classifying and storing the data for analysis facilitates subsequent retrieval and in-depth evaluation of the vibration status and performance of the rolling mill, providing strong support for fault prediction and diagnosis. In addition, related data acquisition devices, equipment, and storage media, such as vibration data acquisition devices, computer equipment, and hard disks, not only improve the efficiency and quality of data acquisition but also ensure the security and convenient management of the data, providing comprehensive and reliable data support for the maintenance and optimization of the rolling mill equipment. BRIEF DESCRIPTION OF THE DRAWINGS
[0047] Figure 1 It is a schematic flow diagram of the acquisition method of the present invention; DETAILED DESCRIPTION OF THE EMBODIMENTS
[0048] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.
[0049] As Figure 1 shown, the embodiment of the present invention provides a vibration data acquisition method for rolling mill equipment. The specific usage steps of this acquisition method are as follows:
[0050] S1: Determine the monitoring points and select the sensors: Select key monitoring points on the rolling mill, including roll bearing seats and the frame, and use ICP or piezoelectric acceleration sensors to capture vibration signals;
[0051] S2: Install and calibrate the sensors: Install the sensors at the monitoring points to ensure close contact and calibrate the sensitivity and sampling frequency to ensure accurate data;
[0052] S3: Set up the data acquisition system: Start the data acquisition system, configure parameters such as sampling frequency and time to ensure real-time reception and processing of vibration data;
[0053] S4: Real-time acquisition and preprocessing of data: Start the acquisition system when the rolling mill is running, preprocess the data by filtering and denoising, and store it in a specified format for analysis;
[0054] S5: Classify and store the data for analysis: Classify and store the data according to the status of the rolling mill, add tags and then retrieve and analyze to evaluate the vibration status and performance.
[0055] Among them, the specific steps for determining the monitoring points and selecting sensors in S1 are as follows:
[0056] Step 1: Determine the monitoring points
[0057] On the rolling mill equipment, carefully select the key positions of the roll bearing housing and the frame as vibration monitoring points to ensure that these points can truly reflect the vibration situation of the rolling mill;
[0058] Step 2: Select the sensor
[0059] According to the vibration characteristics and frequency range of the rolling mill, select a suitable acceleration sensor, preferably an ICP type or piezoelectric acceleration sensor, to ensure that the sensor can accurately capture the vibration signal;
[0060] Step 3: Install and debug the sensor
[0061] Install the selected sensor on the previously determined monitoring point and conduct debugging to ensure that the sensor is normally connected to the data acquisition system and can transmit vibration data in real time and accurately.
[0062] The process of carefully determining the monitoring points and selecting sensors brings significant advantages to the vibration data acquisition of the rolling mill equipment. By selecting key positions such as the roll bearing housing and the frame as monitoring points, the vibration situation of the rolling mill can be truly reflected. At the same time, according to the vibration characteristics and frequency range, select a suitable acceleration sensor, such as ICP type or piezoelectric type, to ensure accurate signal capture. After installing and debugging the sensor, a normal connection with the data acquisition system is achieved, and data is transmitted in real time and accurately. This process improves the accuracy and reliability of data acquisition, provides a solid foundation for subsequent analysis and maintenance, and ensures the safe operation of the rolling mill equipment.
[0063] 3. According to the method for collecting vibration data of a rolling mill equipment as described in claim 1, it is characterized in that: Installing and calibrating the sensor in S2 means that when installing the vibration monitoring system of the rolling mill equipment, firmly install the selected acceleration sensor at the key position of the roll bearing housing or the frame. During the installation process, special attention needs to be paid to ensuring close contact between the sensor and the rolling mill equipment to reduce external signal interference and improve the accuracy of data acquisition. Subsequently, according to the vibration characteristics and frequency range of the rolling mill, finely adjust the sensitivity and sampling frequency of the sensor to adapt to the actual vibration situation of the rolling mill. This calibration step is crucial for ensuring the accuracy and reliability of the collected data and provides a solid foundation for subsequent data analysis and fault diagnosis
[0064] Among them, setting up the data acquisition system in S3 means that when collecting the vibration data of the rolling mill equipment, first, the data acquisition system needs to be started for initialization settings. Immediately afterwards, the sampling parameters, including the sampling frequency and the sampling time length, are carefully configured. The setting of these parameters is crucial to ensure that the data acquisition system can receive and process the vibration data in real time according to the predetermined requirements. Through these steps, we can effectively obtain the vibration data of the rolling mill equipment, providing strong support for subsequent analysis and diagnosis.
[0065] Among them, the specific steps for real-time data acquisition and preprocessing in S4 are as follows:
[0066] Step 1: Start data acquisition
[0067] When the rolling mill equipment starts and begins to operate, immediately start the data acquisition system to ensure that the system can capture and record the vibration data of the rolling mill equipment in real time;
[0068] Step 2: Data preprocessing
[0069] Perform necessary preprocessing on the collected original vibration data, including filtering and denoising steps, to eliminate noise and interference in the data and improve the accuracy and reliability of the data;
[0070] Step 3: Data formatting and storage
[0071] Organize the preprocessed data according to the specified format and store it in the designated location so that subsequent data analysis and processing can proceed smoothly.
[0072] Among them, the specific steps for classified storage and analysis of data in S5 are as follows:
[0073] Step 1: Dynamically classify and store data
[0074] According to the real-time operating status of the rolling mill (standby, no-load, load), dynamically classify and store the vibration data. No data is stored in the standby state, while the corresponding data packets are saved respectively in the no-load and load states;
[0075] Step 2: Add detailed label information
[0076] Add detailed labels to each stored data packet, including acquisition time, rolling mill status, key information of the rack position, etc., to facilitate subsequent data retrieval and analysis;
[0077] Step 3: Data retrieval and analysis
[0078] According to the analysis requirements, retrieve specific categories of data from the stored data for classification and analysis to comprehensively evaluate the vibration status and performance of the rolling mill.
[0079] The classified storage and analysis steps of the rolling mill vibration data acquisition method bring significant benefits. By dynamically classifying and storing data, only data packets are saved in no-load and load states, effectively saving storage space. At the same time, detailed tags are added to each data packet, including key information such as acquisition time, rolling mill status, and rack position, greatly facilitating subsequent data retrieval and analysis. Finally, retrieving specific categories of data for classification and analysis according to requirements can comprehensively evaluate the vibration status and performance of the rolling mill, providing strong support for fault prediction and diagnosis, and ensuring the stable operation of the rolling mill equipment.
[0080] Among them, the device includes:
[0081] Monitoring point determination module: used to carefully select the roll bearing seats, key positions of the rack, etc. on the rolling mill equipment as vibration monitoring points;
[0082] Importance: Ensure that the monitoring points can truly reflect the vibration of the rolling mill.
[0083] Sensor selection and installation module: According to the vibration characteristics and frequency range of the rolling mill, select a suitable acceleration sensor (such as ICP type or piezoelectric acceleration sensor), and firmly install it on the previously determined monitoring points;
[0084] Importance: Ensure that the sensor can accurately capture the vibration signal and be in close contact with the rolling mill equipment to reduce external signal interference.
[0085] Sensor calibration module: used to finely adjust the sensitivity and sampling frequency of the sensor according to the vibration characteristics and frequency range of the rolling mill after the sensor is installed;
[0086] Importance: Ensure that the collected data is accurate and reliable, providing a solid foundation for subsequent data analysis and fault diagnosis.
[0087] Data acquisition system setting module: used to start the data acquisition system, perform initialization settings, and carefully configure sampling parameters (such as sampling frequency and sampling time length);
[0088] Importance: Ensure that the data acquisition system can receive and process vibration data in real time according to the predetermined requirements.
[0089] Data real-time acquisition and preprocessing module: used to immediately start the data acquisition system when the rolling mill equipment starts and runs, real-time capture and record the vibration data of the rolling mill equipment, and perform necessary preprocessing work (such as filtering and denoising);
[0090] Importance: Improve the accuracy and reliability of the data, providing strong support for subsequent data analysis and processing work.
[0091] Data Formatting and Storage Module: It is used to organize the preprocessed data in a specified format and store it in a designated location;
[0092] Importance: Facilitate the smooth progress of subsequent data retrieval and analysis work.
[0093] Data Classification Storage and Analysis Module: It is used to dynamically classify and store vibration data according to the real-time operating status of the rolling mill (standby, no-load, load), and add detailed tag information (such as acquisition time, rolling mill status, rack position, etc.) to each stored data packet. Then, according to the analysis requirements, retrieve specific categories of data from the stored data for classification and analysis.
[0094] Importance: Comprehensively evaluate the vibration status and performance of the rolling mill, and provide an important basis for fault prediction and diagnosis.
[0095] The vibration data acquisition device of the rolling mill equipment integrates functional modules such as monitoring point determination, sensor selection and installation, calibration, system setting, real-time acquisition and preprocessing, data formatting storage, and classification storage and analysis. This device can accurately capture the vibration signal of the rolling mill, ensure the accuracy and reliability of the data, and provide a solid foundation for subsequent analysis. By dynamically classifying and storing data and adding detailed tags, it is convenient for quick retrieval and analysis, and comprehensively evaluate the status of the rolling mill. This device not only improves the efficiency and quality of data acquisition, but also provides strong support for fault prediction and diagnosis, ensuring the stable operation and efficient maintenance of the rolling mill equipment.
[0096] Among them, it includes data acquisition hardware, data analysis software, and data storage devices;
[0097] The data acquisition hardware is responsible for capturing the vibration signal and converting it into digital data,
[0098] The data analysis software processes and analyzes the acquired data to generate useful reports and visualization results.
[0099] The data storage device is used to store and manage the acquired data for subsequent retrieval and analysis, so as to execute the vibration data acquisition method of the rolling mill equipment described in any one of claims 1 to 6.
[0100] The combination of data acquisition hardware, data analysis software, and data storage devices has brought significant benefits to the vibration data acquisition of rolling mill equipment. The hardware accurately captures vibration signals and converts them into digital data, providing a solid foundation for subsequent analysis. The software then deeply processes this data to generate intuitive and useful reports and visualizations for easy understanding and application. The storage device ensures the secure storage and efficient management of data for subsequent retrieval and in-depth analysis. This combination not only improves the accuracy and efficiency of data acquisition but also provides strong data support for the condition monitoring and maintenance of rolling mill equipment.
[0101] Among them, a hard disk (flash drive, optical disc) is stored on the computer-readable storage medium, and the hard disk executes the data storage of the vibration data acquisition method of the rolling mill equipment according to any one of claims 1 to 6.
[0102] The collected vibration data is stored, backed up, and transmitted through these hard disks (flash drives, optical discs) to ensure the security and availability of the data. At the same time, these hard disks (flash drives, optical discs) are used to share and exchange data between different systems or devices.
[0103] Computer-readable storage media, such as hard disks, flash drives, or optical discs, play a crucial role in the vibration data acquisition method of rolling mill equipment. They not only provide a safe and reliable storage space for storing the collected vibration data but also ensure the effective backup and convenient transmission of the data. These storage media enable the sharing and exchange of data between different systems or devices, greatly improving the availability and flexibility of the data. Through them, we can ensure the secure storage and efficient utilization of vibration data, providing strong support for the condition monitoring, fault prediction, and performance evaluation of rolling mill equipment.
[0104] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including", or any other variation thereof is intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or device. Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A vibration data collection method for a rolling mill, characterized in that: The specific steps of using this collection method are as follows: S1: Determine monitoring points and select sensors: Select key monitoring points on the rolling mill, including the roller bearing seat and the frame, and use ICP or piezoelectric acceleration sensors to capture vibration signals; S2: Install and calibrate sensors: Install sensors at monitoring points, ensure close contact and calibrate sensitivity and sampling frequency to ensure data accuracy; S3: Set up the data acquisition system: Start the data acquisition system, configure the sampling frequency and time parameters, and ensure real-time reception and processing of vibration data; S4: Real-time data collection and preprocessing: The data collection system is started when the rolling mill is running, preprocessing the data, filtering and denoising, and storing it in the specified format for analysis; S5: Classify, store and analyze data: Classify and store data by mill status, retrieve and analyze after labeling, and evaluate vibration status and performance.
2. The vibration data collection method for a rolling mill according to claim 1, characterized in that: The specific steps of determining the monitoring point and selecting the sensor in S1 are as follows: Step 1: Determine monitoring points On the rolling mill equipment, carefully select the roller bearing seats and key positions of the frame as vibration monitoring points to ensure that these points can truly reflect the vibration conditions of the rolling mill; Step 2: Select the sensor According to the vibration characteristics and frequency range of the rolling mill, select a suitable acceleration sensor, preferably an ICP or piezoelectric acceleration sensor, to ensure that the sensor can accurately capture the vibration signal; Step 3: Install and debug the sensor Install the selected sensors at the previously determined monitoring points and debug them to ensure that the sensors are properly connected to the data acquisition system and can transmit vibration data in real time and accurately.
3. The vibration data collection method for a rolling mill according to claim 1, characterized in that: Installing and calibrating the sensor in S2 refers to firmly installing the selected acceleration sensor at the roller bearing seat or the key position of the frame when installing the vibration monitoring system of the rolling mill equipment. During the installation process, special attention should be paid to ensuring close contact between the sensor and the rolling mill equipment to reduce interference from external signals and improve the accuracy of data collection. Subsequently, the sensitivity and sampling frequency of the sensor are finely adjusted according to the vibration characteristics and frequency range of the rolling mill to adapt to the actual vibration conditions of the rolling mill.
4. The vibration data collection method for a rolling mill according to claim 1, characterized in that: Setting up the data acquisition system in S3 refers to starting the vibration data collection of the rolling mill equipment. First, the data acquisition system needs to be started and initialized. Then, the sampling parameters, including the sampling frequency and the sampling time length, are carefully configured. The settings of these parameters are crucial to ensure that the data acquisition system can receive and process the vibration data in real time according to the predetermined requirements.
5. The vibration data collection method for rolling mill equipment according to claim 1, characterized in that: The specific steps of real-time data collection and preprocessing in S4 are as follows: Step 1: Start collecting data When the rolling mill equipment is started and begins to run, the data acquisition system is immediately started to ensure that the system can capture and record the vibration data of the rolling mill equipment in real time; Step 2: Data preprocessing Perform necessary preprocessing on the collected raw vibration data, including filtering and denoising steps, to eliminate noise and interference in the data and improve the accuracy and reliability of the data; Step 3: Data formatting and storage The preprocessed data is organized in the prescribed format and stored in a designated location so that subsequent data analysis and processing can proceed smoothly.
6. The vibration data collection method for rolling mill equipment according to claim 1, characterized in that: The specific steps of classifying, storing and analyzing data in S5 are as follows: Step 1: Dynamically classify and store data According to the real-time operation status of the rolling mill, the vibration data is dynamically classified and stored. No data is stored in the standby state, and corresponding data packets are saved in the no-load and load states respectively. Step 2: Add detailed label information Add detailed tags to each stored data packet, including key information such as acquisition time, rolling mill status, and rack location, to facilitate subsequent data retrieval and analysis; Step 3: Data retrieval and analysis According to the analysis requirements, specific categories of data are retrieved from the stored data, classified and analyzed to comprehensively evaluate the vibration status and performance of the rolling mill.
7. A vibration data acquisition device for a rolling mill, used for a data acquisition system and a sensor, characterized in that: The device includes: Monitoring point determination module: used to carefully select the key positions of the roller bearing seats and frames on the rolling mill equipment as vibration monitoring points; Sensor selection and installation module: Select appropriate acceleration sensors based on the vibration characteristics and frequency range of the rolling mill and firmly install them at the previously determined monitoring points; Sensor calibration module: used to fine-tune the sensitivity and sampling frequency of the sensor after the sensor is installed, according to the vibration characteristics and frequency range of the rolling mill; Data acquisition system setup module: used to start the data acquisition system, perform initialization settings, and carefully configure sampling parameters; Real-time data acquisition and preprocessing module: When the rolling mill equipment starts and begins to run, the data acquisition system is immediately started to capture and record the vibration data of the rolling mill equipment in real time, and preprocess the data; Data formatting and storage module: used to organize the pre-processed data according to the specified format and store it in the specified location; Data classification storage and analysis module: It is used to dynamically classify and store vibration data according to the real-time operating status of the rolling mill, and after adding detailed label information to each stored data packet, it retrieves specific categories of data from the stored data for classification and analysis according to analysis requirements.
8. A computer device, characterized in that: Including data acquisition hardware, data analysis software and data storage equipment; The data acquisition hardware is responsible for capturing vibration signals and converting them into digital data; the data analysis software processes and analyzes the collected data; and the data storage device is used to store and manage the collected data for subsequent retrieval and analysis, thereby executing the vibration data acquisition method for rolling mill equipment described in any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a hard disk, and the hard disk executes data storage of the vibration data collection method for rolling mill equipment according to any one of claims 1 to 6.