Intelligent rolling mill bearing of embedded multi-source microsensor and monitoring method of intelligent rolling mill bearing

Abstract

The invention relates to the technical field of mechanical equipment and industrial manufacturing, in particular to an intelligent rolling mill bearing of an embedded multi-source microsensor and a monitoring method of the intelligent rolling mill bearing. The bearing comprises a four-row roller bearing, the four-row roller bearing comprises a bearing outer ring, a bearing inner ring, a plurality of rows of bearing rolling body sets, a retainer assembly and an axial positioning assembly, the axial positioning assembly comprises a side check ring and a middle check ring, the middle check ring is provided with a middle check ring oil hole, and a threaded hole is formed in the middle check ring oil hole. Each row of bearing rolling body group comprises at least a plurality of bearing rolling bodies, the bearing rolling bodies are uniformly arranged between the bearing outer ring and the bearing inner ring through the retainer assembly and the axial positioning assembly, and rolling exists between the bearing rolling bodies and the bearing outer ring and between the bearing rolling bodies and the bearing inner ring. The problems that a rolling mill bearing is small in space size and difficult to install a sensor, and a traditional external sensor is large in signal interference and limited in installation are solved, and the sensor has the advantages of being high in structural strength, complete in monitoring parameter, high in monitoring precision, high in diagnosis efficiency and the like.

Description

Technical Field

[0001] The present invention relates to the technical field of mechanical equipment and industrial manufacturing, and in particular to an intelligent rolling mill bearing with embedded multi-source microsensors and a monitoring method thereof. Background Art

[0002] The modern steel industry relies heavily on continuous and efficient rolling production. Rolling mill bearings, as core transmission support components, are subject to long-term service under extreme conditions such as high loads, high speeds, high temperatures, and water vapor corrosion. Their health directly impacts the robust operation of the entire mill. Bearing failures often lead to the simultaneous failure of components such as rolling elements and sleeves, further degrading the function of transmission, hydraulic subsystems, and even the main equipment, posing a significant production safety hazard. Therefore, accurate monitoring of rolling mill bearing status, real-time feedback, and early warning have become key technical requirements for steel companies to ensure the continuity and safety of rolling production.

[0003] Existing rolling mill bearing monitoring technologies often use external sensors (such as accelerometers and temperature probes) fixed to the bearing seat or frame surface. This has the following drawbacks: the sensors are physically isolated from the bearing body, making it impossible to directly obtain the internal bearing temperature distribution and dynamic characteristics. Dynamic information is affected by the dynamic interference of the bearing seat and frame body. Existing monitoring methods and means are unable to accurately identify and extract bearing dynamic signals, resulting in inaccurate bearing fault diagnosis and the risk of major safety accidents. The sensor installation location is limited by the rolling mill's mechanical structure, resulting in a large monitoring blind spot.

[0004] In response to the above-mentioned technical problems, the present invention proposes an intelligent rolling mill bearing with embedded multi-source microsensors and a monitoring method thereof. Summary of the Invention

[0005] In response to the aforementioned technical issues of large monitoring blind spots caused by physical isolation between the sensor and the bearing body, interference with dynamic information, and limited sensor installation locations, a smart rolling mill bearing with embedded multi-source microsensors and a monitoring method thereof are provided. The present invention primarily utilizes multi-source microsensors embedded within the bearing to collect temperature and acceleration signals within the bearing, and analyzes and processes the collected data using advanced signal processing algorithms. This allows for accurate identification and extraction of bearing dynamic signals, improves the accuracy of bearing fault diagnosis, reduces monitoring blind spots, effectively avoids major safety incidents caused by bearing failures, and enhances the safety and reliability of rolling mill operations.

[0006] The technical means adopted in the present invention are as follows:

[0007] An intelligent rolling mill bearing with an embedded multi-source microsensor, comprising: the bearing comprising a bearing seat end cover, a bearing seat body, a four-row roller bearing and a microsensor;

[0008] The four-row roller bearing includes a bearing outer ring, a bearing inner ring, several rows of bearing rolling element groups, a cage assembly and an axial positioning assembly, the axial positioning assembly includes a side retaining ring and a middle retaining ring, the middle retaining ring is provided with a middle retaining ring oil hole, the middle retaining ring oil hole is provided with a thread, the bearing outer ring includes a first bearing outer ring and a second bearing outer ring connected by the middle retaining ring, each row of bearing rolling element groups includes several bearing rolling elements, the bearing rolling elements are evenly arranged between the bearing outer ring and the bearing inner ring through the cage assembly and the axial positioning assembly, and there is rolling between the bearing rolling elements and the bearing outer ring and the bearing inner ring;

[0009] The bearing seat end cover is fixedly connected to the bearing seat body, the bearing seat body is covered by the bearing outer ring, the bearing inner ring is connected to the roller body, and the four-row roller bearing is connected to the bearing seat end cover;

[0010] The microsensor includes a microsensor housing, a cylindrical interface and a lead connected in sequence. The microsensor housing is provided with a thread, and the microsensor is connected to the oil hole of the middle retaining ring through the thread. A sensing module is provided inside the microsensor, and the sensing module includes a temperature sensor and an acceleration sensor, which is connected to the acquisition system through the lead to collect bearing temperature and acceleration signals.

[0011] Furthermore, the retainer assembly includes a retainer outer washer, a pillar and a retainer inner washer. The bearing rolling body is a cylindrical structure with a through hole in the center. The pillar passes through the bearing rolling body through the through hole. One end of the bearing rolling body is fitted with the retainer outer washer, and the other end is fitted with the retainer inner washer. The retainer outer washer and the retainer inner washer are respectively fixedly connected to the bracket to constrain the circumferential freedom of the rolling body.

[0012] Furthermore, the side retaining rings are arranged on both sides of the bearing outer ring, and the side retaining rings and the middle retaining ring jointly realize the axial limitation of the bearing rolling body, and the bearing outer ring is evenly provided with outer ring oil holes along the circumference.

[0013] Furthermore, the inner wall of the bearing seat body is provided with an intermediate oil groove connected to the outer ring oil hole, namely the middle retaining ring oil hole, and the inner wall of the bearing seat body is also provided with a wire groove for accommodating the lead wire.

[0014] Furthermore, a rod-shaped electrode is embedded in the interior of the cylindrical interface, and the lead is fixed to the exterior of the cylindrical interface via threads to achieve power supply and signal transmission functions.

[0015] A monitoring method for an intelligent rolling mill bearing with an embedded multi-source microsensor is applied to the above-mentioned intelligent rolling mill bearing with an embedded multi-source microsensor, comprising the following steps:

[0016] S1. System initialization: The acquisition system establishes communication with the microsensor and displays acquisition setting parameters to the user, allowing the user to adjust them as needed.

[0017] S2. No-load inspection: After the mill is started, during the early no-load operation phase, data transmission integrity inspection and bearing initial status self-test are performed;

[0018] S3. Signal Acquisition: After the microsensor completes self-testing, it uses the temperature sensor and acceleration sensor to monitor the bearing operating parameters in real time and generate a bearing monitoring signal.

[0019] S4. Data transmission and pre-processing: The bearing monitoring signal is transmitted to the data collector via a lead. The data collector converts the bearing monitoring signal to generate a converted monitoring signal, and transmits the converted monitoring signal to a data receiving device. The converted monitoring signal includes an acceleration signal and a temperature signal.

[0020] S5. Signal Display: Build a visualization interface to display the bearing temperature and acceleration time domain waveforms based on the converted monitoring signals.

[0021] S6. Time-frequency domain signal analysis: performing a short-time Fourier transform on the acceleration signal to obtain a spectrum signal and extracting time domain features from the acceleration signal within a variable time period;

[0022] S7. Signal characteristic parameter display: Extracts key characteristic parameters and presents them in a main dashboard and expert mode. The main dashboard displays peak and RMS values, while the expert mode displays kurtosis and center of gravity frequency.

[0023] S8. Display data output interface: Open data multi-protocol interface, support table and text format export, and output equipment calibration log to facilitate equipment maintenance;

[0024] S9. Unified display of rolling mill operating conditions: Build a bearing visualization interface on the existing rolling mill monitoring interface to complete the display of bearing operating condition data.

[0025] Furthermore, the data transmission integrity check and bearing initial state self-check operation include:

[0026] Verify the signals collected by the microsensor to check whether the data is output according to other set parameters such as time, whether there are any packet leaks in the data output, and whether there are any errors in the data packaging; after the verification is completed, analyze and evaluate the collected signals to determine whether the working status of the bearing is normal and whether it meets the working condition of the rolling mill without load, and complete the self-inspection operation of the initial status of the bearing.

[0027] Furthermore, in step S5, when viewing the bearing temperature and acceleration time domain waveforms in the visualization interface, waveform zooming, historical data review, and abnormality marking functions are supported.

[0028] Furthermore, the equipment calibration log includes the data inspection results obtained in step S2 and the initial working status record of the bearing, as well as the abnormal working status information of the microsensor and its corresponding fault identification code, which are used for equipment maintenance and analysis.

[0029] Compared with the prior art, the present invention has the following advantages:

[0030] (1) The present invention completes the design of embedded multi-source microsensors and lead grooves in the oil holes of the outer ring of four-row roller bearings for rolling mills, breaking through the original monitoring blind spots of rolling mill bearings, reducing signal noise, and solving technical problems such as traditional external sensors being easily affected by environmental interference and having limited installation space.

[0031] (2) The present invention utilizes the alignment design of the oil hole of the outer ring of the four-row roller bearing and the oil groove of the bearing seat to realize the physical multiplexing of the lubrication channel and the sensor power supply / signal transmission channel, and simultaneously completes the bearing lubrication and sensor integration in a limited space, reducing the loss of bearing structural strength caused by additional grooving.

[0032] (3) The present invention uses a two-level visual display of the time-frequency domain characteristic parameters of the vibration signal (main dashboard-expert mode) and a multi-protocol data interface design to enable operators to quickly identify abnormal working conditions. At the same time, it provides standardized data packets for offline analysis, reducing the time cost of diagnosis.

[0033] Based on the above reasons, the present invention can be widely promoted in the fields of mechanical equipment and industrial manufacturing. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0035] Figure 1 This is a flow chart of an intelligent rolling mill bearing monitoring method of the present invention.

[0036] Figure 2 This is a schematic diagram of the overall structure of an intelligent rolling mill bearing embedded with a microsensor according to the present invention.

[0037] Figure 3 This is a schematic diagram of the overall partial structure of an intelligent rolling mill bearing embedded with a microsensor according to the present invention.

[0038] Figure 4 Schematic diagram of the microsensor structure of the present invention.

[0039] Figure 5 It is a schematic diagram of the bearing seat structure of the present invention.

[0040] Figure 6 for Figure 5 Cross-sectional view in the AA direction.

[0041] Figure 7 It is a partially enlarged perspective diagram of the bearing seat structure of the present invention.

[0042] Figure 8 This is a three-dimensional diagram of the overall local structure of an intelligent rolling mill bearing embedded with a microsensor according to the present invention.

[0043] In the figure: 1. Bearing seat end cover; 2. Bearing seat body; 21. Intermediate oil groove; 22. Lead groove; 23. Connecting surface between bearing seat body and bearing seat end cover; 3. Four-row roller bearing; 31. Bearing outer ring; 310. Outer ring oil hole; 32. Bearing inner ring; 33. Bearing rolling element; 34. Cage outer washer; 35. Pillar; 36. Cage inner washer; 37. Side retaining ring; 38. Middle retaining ring; 380. Middle retaining ring oil hole; 4. Roller end cover; 5. Roller neck collar; 6. Roller body; 7. Micro sensor; 71. Thread; 72. Cylindrical interface; 73. Lead. DETAILED DESCRIPTION

[0044] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0045] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0046] like Figure 2-8 As shown, the present invention provides an intelligent rolling mill bearing with an embedded multi-source microsensor, including: the bearing includes a bearing seat end cover 1, a bearing seat body 2, a four-row roller bearing 3, a roll end cover 4, a roll neck ring 5, a roll body 6 and a microsensor 7.

[0047] The four-row roller bearing 3 includes a bearing outer ring 31, a bearing inner ring 32, several rows of bearing rolling element groups, a retaining frame assembly and an axial positioning assembly. The axial positioning assembly includes a side retaining ring 37 and a middle retaining ring 38. The middle retaining ring 38 is provided with a middle retaining ring oil hole 380. The middle retaining ring oil hole 380 is provided with a thread. The bearing outer ring 31 includes a first bearing outer ring and a second bearing outer ring connected by the middle retaining ring 38. Each row of bearing rolling element groups includes at least four bearing rolling elements 33. The bearing rolling elements 33 are evenly arranged between the bearing outer ring 31 and the bearing inner ring 32 through the retaining frame assembly and the axial positioning assembly. There is rolling between the bearing rolling elements 33 and the bearing outer ring 31 and the bearing inner ring 32.

[0048] As a preferred embodiment of the present invention, the minimum diameter of the threaded hole of the middle retaining ring oil hole 380 is 10 mm, and the minimum thread length is 28 mm.

[0049] The bearing seat end cover 1 is fixedly connected to the bearing seat body 2, the bearing seat body 2 is covered by the bearing outer ring 31, the bearing inner ring 32 is connected to the roll body 6, one end of the four-row roller bearing 3 is connected to the bearing seat end cover 1, and the other end is connected to the roll neck of the roll end cover, the roll end cover 4 is connected to the roll neck ring 5, and the roll neck ring 5 is sleeved on the outside of the roll body 6.

[0050] The microsensor 7 includes a microsensor 7 housing, a cylindrical interface 72 and a lead 73 connected in sequence. A thread 71 is provided on the microsensor 7 housing. The microsensor 7 is connected to the oil hole 380 of the middle retaining ring through the thread 71. A sensing module is provided inside the microsensor 7. The sensing module includes a temperature sensor and a three-axis vibration acceleration sensor, which is connected to the acquisition system through the lead 73 to collect the bearing temperature and acceleration signals.

[0051] The cage assembly includes an outer cage washer 34, a support 35 and an inner cage washer 36. The bearing rolling element 33 is a cylindrical structure with a through hole in the center. The support 35 passes through the bearing rolling element 33 through the through hole. One end of the bearing rolling element 33 is in contact with the outer cage washer 34, and the other end is in contact with the inner cage washer 36. The outer cage washer 34 and the inner cage washer 36 are fixedly connected to the bracket to constrain the circumferential freedom of the rolling element.

[0052] The side retaining rings 37 are provided on both sides of the bearing outer ring 31 , and the side retaining rings 37 and the middle retaining ring 38 together realize the axial limitation of the bearing rolling elements 33 .

[0053] The bearing outer ring 31 is provided with outer ring oil holes 310 evenly distributed along the circumference.

[0054] An annular lubricating oil circuit is located inside the bearing block body 2. An intermediate oil groove 21 is located on the inner wall, connecting to the outer ring oil hole 310 (i.e., the middle retaining ring oil hole 380). This ensures alignment and connection between the lubricating oil circuit and the bearing oil hole. A wire lead groove 22 is defined on the inner wall of the bearing block body 2, away from the mill's operating area. The groove has a depth and width of 5 mm and extends from the connection surface between the bearing block body 2 and the bearing block end cap 1 to the intermediate oil groove 21. This groove accommodates the wire leads 73 of the microsensor 7. Threaded holes are uniformly distributed along the circumference of the bearing block body 2, both on the roller body side and on the outer side. Bolts secure the bearing block body 2 axially to the roller end cap 4 and the bearing block end cap 1.

[0055] A rod-shaped electrode is embedded inside the cylindrical interface 72, and a lead wire 73 is fixed to the outside of the cylindrical interface 72 via a thread 71 to realize power supply and signal transmission functions.

[0056] like Figure 1 As shown, the present invention also includes a monitoring method for an intelligent rolling mill bearing with an embedded multi-source microsensor, which is applied to the above-mentioned intelligent rolling mill bearing with an embedded multi-source microsensor, and includes the following steps:

[0057] S1. System initialization: The acquisition system establishes communication with the microsensor 7, and displays the acquisition setting parameters to the user and allows the user to adjust them according to needs.

[0058] S2. No-load inspection: After the rolling mill is started, during the early no-load operation stage of the rolling mill, data transmission integrity inspection and bearing initial status self-inspection operations are performed.

[0059] Specifically, the signal collected by the microsensor 7 is verified to check whether the data is output according to other set parameters such as time, whether there are any packet leaks in the data output, and whether there are any errors in the data packaging; after the verification is completed, a simple and quick analysis and evaluation is performed on the collected signal to determine whether the working state of the bearing is normal and whether it meets the working condition of the rolling mill without load.

[0060] S3. Signal acquisition: After the micro sensor 7 completes self-test, it monitors the bearing operating parameters in real time through the temperature sensor and acceleration sensor to generate a bearing monitoring signal.

[0061] S4. Data transmission and pre-processing: The bearing monitoring signal is transmitted to the data collector through lead 73. The data collector converts the bearing monitoring signal to generate a converted monitoring signal and transmits the converted monitoring signal to the data receiving device. The converted monitoring signal includes an acceleration signal and a temperature signal.

[0062] S5. Signal display: Build a visual interface to display the bearing temperature and acceleration time domain waveforms based on the converted monitoring signals.

[0063] S6. Time-Frequency Domain Signal Analysis: Perform a short-time Fourier transform on the acceleration signal to obtain a spectrum signal, and extract time-domain features from the acceleration signal within a variable time period.

[0064] S7. Signal characteristic parameter display: Extract key characteristic parameters and present them in a hierarchical manner. The main dashboard displays intuitive parameters such as peak value and RMS value, while the expert mode displays characteristic parameters such as kurtosis and center of gravity frequency.

[0065] Specifically, key characteristic parameters are extracted and a hierarchical display strategy is implemented, with two-level interfaces of the main dashboard and the expert mode preset. The main dashboard focuses on the intuitive presentation of core time domain characteristic parameters (such as peak value and root mean square value). This level of parameters is derived from the statistical analysis of the physical quantity signals (such as temperature and acceleration) obtained in step S5. These physical quantity signals are obtained by processing the original voltage information through preset parameters and conversion formulas (i.e., the "converted monitoring signal" described in S5). The specific time domain feature calculation is performed according to the method described in S6, "extracting time domain features from the acceleration signal within a variable time period."

[0066] Expert mode provides a deeper analysis, focusing on displaying characteristic parameters (such as kurtosis and center of gravity frequency) that characterize the signal's frequency domain characteristics. Its generation process strictly follows the following steps: First, a short-time Fourier transform is applied to the aforementioned physical quantity signal to perform a time-frequency conversion (i.e., "performing a short-time Fourier transform on the acceleration signal" as described in S6) to obtain the corresponding frequency domain signal. Subsequently, specific statistical calculations are performed on the resulting spectral data to ultimately derive and display the required frequency domain characteristic parameters.

[0067] S8. Display data output interface: open data multi-protocol interface, supports table and text format export, and can output device calibration log to facilitate equipment maintenance.

[0068] Specifically, an open multi-protocol data interface is provided, supporting data export in both table and text formats, particularly the export of equipment calibration logs. This log contains the data inspection results stored in step S2, the initial operating status of the bearing, and any abnormal operating status information of the microsensor 7 and its corresponding fault identification code, for use in equipment maintenance and analysis.

[0069] S9. Unified display of rolling mill operating conditions: Build a bearing visualization interface on the existing rolling mill monitoring interface to complete the display of bearing operating condition data.

[0070] Specifically, in step S5, in the visualization interface, the bearing temperature and acceleration time domain waveforms support waveform zooming, historical data review, and anomaly marking functions.

[0071] It should be noted that the sensor module integrated inside the roller body 6 and the microsensor 7 belongs to the existing technology. In actual engineering applications, those skilled in the art can know and use them. At the same time, the above-mentioned components belong to the existing technology and are not the main invention points of the present invention, and will not be introduced here.

[0072] Although the terms microsensor 7, four-row roller bearing 3, bearing seat body 2, middle retaining ring 38, outer ring oil hole 310, wire groove 22, wire 73, and roller neck collar 5 are frequently used in this specification, this does not exclude the possibility of other equivalent or similar technical features. The use of the above terms is only for the purpose of more clearly describing the technical solution of the present invention, and is used to specifically characterize the core innovations such as the embedded installation structure of the multi-source sensor, the lubrication channel multiplexing mechanism, and the signal transmission path. They should not be understood as limiting the scope of protection of the present invention. Any equivalent replacement or partial improvement based on the technical concept of the present invention falls within the scope of the claims of this patent.

[0073] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent rolling mill bearing with embedded multi-source micro-sensors, characterized in that: include: The bearing comprises a bearing seat end cover, a bearing seat body, a four-row roller bearing and a micro sensor; The four-row roller bearing includes a bearing outer ring, a bearing inner ring, several rows of bearing rolling element groups, a cage assembly and an axial positioning assembly, the axial positioning assembly includes a side retaining ring and a middle retaining ring, the middle retaining ring is provided with a middle retaining ring oil hole, the middle retaining ring oil hole is provided with a thread, the bearing outer ring includes a first bearing outer ring and a second bearing outer ring connected by the middle retaining ring, each row of bearing rolling element groups includes several bearing rolling elements, the bearing rolling elements are evenly arranged between the bearing outer ring and the bearing inner ring through the cage assembly and the axial positioning assembly, and there is rolling between the bearing rolling elements and the bearing outer ring and the bearing inner ring; The bearing seat end cover is fixedly connected to the bearing seat body, the bearing seat body is covered by the bearing outer ring, the bearing inner ring is connected to the roller body, and the four-row roller bearing is connected to the bearing seat end cover; The microsensor includes a microsensor housing, a cylindrical interface and a lead connected in sequence. The microsensor housing is provided with a thread, and the microsensor is connected to the oil hole of the middle retaining ring through the thread. A sensing module is provided inside the microsensor, and the sensing module includes a temperature sensor and an acceleration sensor, which is connected to the acquisition system through the lead to collect bearing temperature and acceleration signals.

2. The intelligent rolling mill bearing with embedded multi-source microsensors according to claim 1 is characterized in that: The cage assembly includes a cage outer washer, a pillar and a cage inner washer. The bearing rolling element is a cylindrical structure with a through hole in the center. The pillar passes through the bearing rolling element through the through hole. One end of the bearing rolling element is in contact with the cage outer washer, and the other end is in contact with the cage inner washer. The cage outer washer and the cage inner washer are respectively fixedly connected to the bracket to constrain the circumferential freedom of the rolling element.

3. The intelligent rolling mill bearing with embedded multi-source microsensors according to claim 1, characterized in that: The side retaining rings are arranged on both sides of the bearing outer ring. The side retaining rings and the middle retaining ring jointly realize the axial limitation of the bearing rolling body. The bearing outer ring is evenly provided with outer ring oil holes along the circumference.

4. The intelligent rolling mill bearing with embedded multi-source microsensors according to claim 1, characterized in that: The inner wall of the bearing seat body is provided with an intermediate oil groove which is connected with the outer ring oil hole, namely the middle retaining ring oil hole. The inner wall of the bearing seat body is also provided with a wire groove for accommodating the wire.

5. The intelligent rolling mill bearing with embedded multi-source microsensors according to claim 1, characterized in that: A rod-shaped electrode is embedded in the interior of the cylindrical interface, and the lead is fixed to the exterior of the cylindrical interface via threads to achieve power supply and signal transmission functions.

6. A monitoring method for an intelligent rolling mill bearing with an embedded multi-source microsensor, applied to an intelligent rolling mill bearing with an embedded multi-source microsensor according to claims 1-5, characterized in that: The following steps are involved: S1. System initialization: The acquisition system establishes communication with the microsensor and displays acquisition setting parameters to the user, allowing the user to adjust them as needed. S2. No-load inspection: After the mill is started, during the early no-load operation phase, data transmission integrity inspection and bearing initial status self-test are performed; S3. Signal Acquisition: After the microsensor completes self-testing, it uses the temperature sensor and acceleration sensor to monitor the bearing operating parameters in real time and generate a bearing monitoring signal. S4. Data transmission and pre-processing: The bearing monitoring signal is transmitted to the data collector via a lead. The data collector converts the bearing monitoring signal to generate a converted monitoring signal, and transmits the converted monitoring signal to a data receiving device. The converted monitoring signal includes an acceleration signal and a temperature signal. S5. Signal Display: Build a visualization interface to display the bearing temperature and acceleration time domain waveforms based on the converted monitoring signals. S6. Time-frequency domain signal analysis: performing a short-time Fourier transform on the acceleration signal to obtain a spectrum signal and extracting time domain features from the acceleration signal within a variable time period; S7. Signal characteristic parameter display: Extracts key characteristic parameters and presents them in a main dashboard and expert mode. The main dashboard displays peak and RMS values, while the expert mode displays kurtosis and center of gravity frequency. S8. Display data output interface: Open data multi-protocol interface, support table and text format export, and output equipment calibration log to facilitate equipment maintenance; S9. Unified display of rolling mill operating conditions: Build a bearing visualization interface on the existing rolling mill monitoring interface to complete the display of bearing operating condition data.

7. The method for monitoring intelligent rolling mill bearings with embedded multi-source microsensors according to claim 6, characterized in that: The data transmission integrity check and bearing initial status self-check operation include: Verify the signals collected by the microsensor to check whether the data is output according to other set parameters such as time, whether there are any packet leaks in the data output, and whether there are any errors in the data packaging; after the verification is completed, analyze and evaluate the collected signals to determine whether the working status of the bearing is normal and whether it meets the working condition of the rolling mill without load, and complete the self-inspection operation of the initial status of the bearing.

8. The method for monitoring intelligent rolling mill bearings with embedded multi-source microsensors according to claim 6, characterized in that: In step S5, when viewing the bearing temperature and acceleration time domain waveforms in the visualization interface, waveform zooming, historical data review, and abnormality marking functions are supported.

9. The method for monitoring intelligent rolling mill bearings with embedded multi-source microsensors according to claim 6, characterized in that: The equipment calibration log includes the data inspection results obtained in step S2 and the initial working status record of the bearing, as well as the abnormal working status information of the microsensor and its corresponding fault identification code, which are used for equipment maintenance and analysis.

Images