CN115283454A - Rolling mill early fault monitoring and diagnosis system based on 5G triaxial temperature and vibration integrated technology - Google Patents
Rolling mill early fault monitoring and diagnosis system based on 5G triaxial temperature and vibration integrated technology Download PDFInfo
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- CN115283454A CN115283454A CN202210768980.4A CN202210768980A CN115283454A CN 115283454 A CN115283454 A CN 115283454A CN 202210768980 A CN202210768980 A CN 202210768980A CN 115283454 A CN115283454 A CN 115283454A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
- B21B38/006—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product for measuring temperature
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B33/00—Safety devices not otherwise provided for; Breaker blocks; Devices for freeing jammed rolls for handling cobbles; Overload safety devices
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B21—MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
- B21B—ROLLING OF METAL
- B21B38/00—Methods or devices for measuring, detecting or monitoring specially adapted for metal-rolling mills, e.g. position detection, inspection of the product
- B21B38/008—Monitoring or detecting vibration, chatter or chatter marks
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Abstract
The invention discloses a rolling mill early fault monitoring and diagnosing system based on a 5G triaxial temperature and vibration integrated technology, which comprises: the system comprises a temperature and vibration signal synchronous acquisition module, a transmission control module, a temperature and vibration signal synchronous transmission module and a cloud server; the transmission control module is used for initializing the temperature and vibration signal synchronous acquisition module and starting the temperature and vibration signal synchronous transmission module at the same time; the temperature and vibration signal synchronous acquisition module is used for simultaneously collecting vibration signals and temperature signals of three directions of preset positions of the rolling mill, the temperature and vibration signal synchronous transmission module is used for transmitting the signals collected by the temperature and vibration signal synchronous acquisition module to the cloud server in real time by adopting a 5G network, and the cloud server is used for judging whether the rolling mill breaks down or not according to the signals collected by the temperature and vibration signal synchronous acquisition module and feeding the results back to workers in real time. The invention can analyze the current state of the rolling mill in real time and realize early fault monitoring and diagnosis.
Description
Technical Field
The invention relates to the technical field of state monitoring and fault diagnosis of mechanical equipment, in particular to a rolling mill early fault monitoring and diagnosis system based on a 5G triaxial temperature and vibration integrated technology.
Background
As a main apparatus for producing steel materials, a rolling mill has a significant influence on the quality of steel in its normal operation. However, in the process of rolling steel plates, abnormal vibration caused by early failure of the rolling mill often causes the thickness of the steel plates to change and the zebra stripes to be generated, and the quality of the steel plates is seriously affected. Therefore, in order to improve the quality of the steel sheet, early fault monitoring and diagnosis of the rolling mill is very important.
At present, three main methods for detecting the vibration state of the rolling mill are provided. The first type of monitoring devices, which are mainly measuring instruments, are mainly composed of a sensor and an indicating instrument box, and this means has the main disadvantage that the instruments are difficult to detect before strong vibration, and sudden failure cannot be prevented. And the method has no analysis function, namely, the method is too dependent on the experience judgment of people. The second means is that the monitoring instrument is provided with a software and hardware analysis device which mainly performs fault diagnosis and analysis through the cooperation of a spectrum analyzer and computer software. The main disadvantage of the method is that faults and symptoms are difficult to correspond to large equipment with a complex structure of the rolling mill, and misdiagnosis is easy to occur. The method usually diagnoses after the fault occurs and cannot carry out real-time alarm processing. The third method is to carry out overall modal simulation analysis on the rolling mill by finite element software. However, due to the complex structure of the rolling mill, the method usually has a large workload and cannot analyze the current state of the rolling mill in real time.
Disclosure of Invention
The invention provides a rolling mill early fault monitoring and diagnosing system based on a 5G triaxial temperature and vibration integrated technology, and aims to solve the technical problems that the workload is great and the current state of a rolling mill cannot be analyzed in real time in the prior art.
In order to solve the technical problems, the invention provides the following technical scheme:
a rolling mill early fault monitoring and diagnosis system based on a 5G triaxial temperature and vibration integrated technology comprises a temperature and vibration signal synchronous acquisition module, a transmission control module, a temperature and vibration signal synchronous transmission module and a cloud server; the temperature and vibration signal synchronous acquisition module is connected with the transmission control module, the transmission control module is connected with the temperature and vibration signal synchronous transmission module, and the temperature and vibration signal synchronous transmission module is connected with the cloud server;
when the system works, the transmission control module is used for initializing the temperature and vibration signal synchronous acquisition module and starting the temperature and vibration signal synchronous transmission module at the same time; the temperature and vibration signal synchronous acquisition module is used for simultaneously collecting vibration signals and temperature signals of three directions of preset positions of the rolling mill, the temperature and vibration signal synchronous transmission module is used for adopting a 5G network to transmit signals collected by the temperature and vibration signal synchronous acquisition module to the cloud server in real time, and the cloud server is used for judging whether the rolling mill breaks down or not according to the signals collected by the temperature and vibration signal synchronous acquisition module and feeding the results back to workers in real time.
Further, the temperature and vibration signal synchronous acquisition module comprises a three-axis temperature and vibration sensor, a low-pass filter and an AD module; the triaxial temperature vibration sensor is connected with the low-pass filter, and the low-pass filter is connected with the AD module;
the signal transmission that triaxial temperature shakes the sensor and gathers gives low pass filter, low pass filter handles the signal earlier, filters the noise signal more than 10kHz, gives the signal transmission after filtering again AD module, transmission control module control AD module is right three direction vibration signal and the temperature signal that triaxial temperature shakes the sensor and gathers carry out analog-to-digital conversion, converts analog signal into digital signal, starts simultaneously synchronous transmission module, synchronous transmission module establishes local and cloud server's being connected through the 5G network of high-speed low time delay, will through the 5G network temperature shake three direction vibration signal and the temperature signal synchronous transmission that the signal synchronous acquisition module of shaking gathers extremely high in the clouds server.
Further, the cloud server is specifically configured to: and carrying out noise reduction processing on the received data through a deep learning algorithm, and carrying out feature extraction on the noise-reduced data through a resonance demodulation algorithm to finally obtain a fault type which can be generated.
Furthermore, the temperature and vibration signal synchronous acquisition module and the transmission control module adopt an SPI communication protocol for communication.
Furthermore, the rear end of the triaxial temperature vibration sensor is connected with a constant current source for supplying power to the triaxial temperature vibration sensor.
Further, the three-shaft temperature and vibration sensor is arranged at the bearings of the reduction gearbox and the gear box of the rolling mill; the triaxial temperature vibration sensor collects signals at a sampling frequency of 10kHz, and the uploading rate of the signals is higher than 150Mbps.
Further, the denoising processing of the received data by the deep learning algorithm includes:
and carrying out noise reduction processing on the data through a depth residual shrinkage network in a deep learning algorithm.
Furthermore, when the temperature vibration signal synchronous acquisition module and the temperature vibration signal synchronous transmission module perform data transmission, the synchronous transmission control module is controlled to synchronously read and write the clock, so that the data acquired by the temperature vibration signal synchronous acquisition module is ensured to be synchronously transmitted to the synchronous transmission module, and the problem of data delay caused by cache is avoided.
The technical scheme provided by the invention has the beneficial effects that at least:
1. the invention can solve the real-time transmission problem of the early fault monitoring and diagnosing system of the rolling mill. The total data volume of a single triaxial temperature and vibration integrated sensor 4 channel is 12.8Mbps, the system can support four triaxial temperature and vibration integrated sensors to acquire simultaneously, the total data volume is 51.2Mbps, the conventional 4G, wi-Fi network has the factors of low bandwidth, instability and the like, and all data can not be transmitted in real time. And 5G has the characteristics of high bandwidth and low delay, can transmit a large amount of data to the cloud end in real time for analysis, and provides an accurate data source for real-time diagnosis and analysis of remote faults.
2. The three-shaft temperature and vibration integrated sensor can simultaneously acquire vibration signals and temperature signals in three directions. The vibration in the resonance direction is a characteristic of being 5 to 15 times larger than the other two directions based on the vibration in which the resonance is highly directional. By simultaneously collecting the vibration signals in three directions, the vibration signals in different directions can be compared, resonance caused by early failure possibly generated by a mechanical structure of the rolling mill can be searched, and the early failure of the rolling mill can be found.
3. By using the multichannel synchronous AD acquisition module, temperature signals and vibration signals in three directions can be synchronously acquired. And read out data through SPI serial interface, because SPI transmission volume is up to 100Mbps, can guarantee that the transmission volume of data is greater than the production volume of every second data, write in and transmit through warm shake signal transmission control module control signal synchronization, can avoid the buffer memory to bring the problem that data delay is lost.
4. The temperature and vibration data are subjected to cooperative analysis and processing by utilizing a deep learning algorithm, and noise reduction processing is performed on the data through a deep residual shrinkage network, so that more accurate fault characteristics are obtained, and the problems that signals are weak and difficult to extract in early fault stages of complex equipment such as a rolling mill can be solved. The interference of low-frequency signals can be effectively shielded through a resonance demodulation technology, fault characteristic components are fully exposed, and the early fault diagnosis of the rolling mill is facilitated.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a structural diagram of a rolling mill early fault monitoring and diagnosing system based on a 5G triaxial temperature and vibration integration technology provided in an embodiment of the present invention;
FIG. 2 is a working flow diagram of a rolling mill early fault monitoring and diagnosing system based on a 5G triaxial temperature and vibration integration technology provided by the embodiment of the invention;
FIG. 3 is an application advantage diagram of a triaxial temperature vibration sensor of a rolling mill early fault monitoring and diagnosing system based on a 5G triaxial temperature vibration integrated technology provided by an embodiment of the invention;
FIG. 4 is a transmission control flow chart of the rolling mill early fault monitoring and diagnosing system based on the 5G triaxial temperature and vibration integration technology provided by the embodiment of the invention;
fig. 5 is a monitoring and diagnosing flowchart of the rolling mill early fault monitoring and diagnosing system based on the 5G triaxial temperature and vibration integration technology provided by the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The embodiment provides a rolling mill early fault monitoring and diagnosing system based on a 5G triaxial temperature vibration integration technology, as shown in fig. 1, the rolling mill early fault monitoring and diagnosing system based on the 5G triaxial temperature vibration integration technology comprises: the system comprises a temperature and vibration signal synchronous acquisition module, a transmission control module, a temperature and vibration signal synchronous transmission module and a cloud server; the temperature and vibration signal synchronous acquisition module is connected with the transmission control module, the transmission control module is connected with the temperature and vibration signal synchronous transmission module, and the temperature and vibration signal synchronous transmission module is connected with the cloud server.
The working flow of the rolling mill early fault monitoring and diagnosing system based on the 5G triaxial temperature and vibration integrated technology is shown in fig. 2, and during working, the transmission control module is used for initializing the temperature and vibration signal synchronous acquisition module and starting the temperature and vibration signal synchronous transmission module at the same time; the temperature and vibration signal synchronous acquisition module is used for simultaneously collecting vibration signals and temperature signals of three directions of preset positions of the rolling mill, the temperature and vibration signal synchronous transmission module is used for adopting a 5G network to transmit signals collected by the temperature and vibration signal synchronous acquisition module to the cloud server in real time, and the cloud server is used for judging whether the rolling mill breaks down or not according to the signals collected by the temperature and vibration signal synchronous acquisition module and feeding the results back to workers in real time.
Specifically, the temperature and vibration signal synchronous acquisition module comprises a triaxial temperature and vibration sensor, a low-pass filter and an AD module; the triaxial temperature vibration sensor is connected with the low-pass filter, and the low-pass filter is connected with the AD module; it should be noted that, in the rolling process of the rolling mill, the working system is mainly divided into a main transmission system and a stand system, and the two systems can not be separated from a speed reducer in normal operation, and the normal operation of a gear box is required.
The three-shaft temperature vibration sensor is arranged at the bearing of the reduction gearbox and the gear box of the rolling mill, the three-shaft temperature vibration sensor can be used for collecting high-frequency vibration signals of a mechanical structure caused by resonance, and the rear end of the three-shaft temperature vibration sensor is connected with the constant current source and used for supplying power to the three-shaft temperature vibration sensor and stripping the signals from the power source. The stripped signal is passed to a butterworth low pass filter. The Butterworth low-pass filter can simply process fault signals and filter noise signals above 10 kHz. These signals are then transmitted to the AD module. And converting the analog signal into a digital signal, and sending the digital signal to a transmission control end by using an SPI (serial peripheral interface) communication protocol.
Correspondingly, in order to receive the information transmitted from the AD module, the transmission control module also needs to configure the SPI protocol to control the acquisition of the AD module. In this embodiment, a raspberry pi 4b + is selected as a transmission control module, a Linux system is built in the transmission control module, the raspberry pi 4b + transmits information to a 5G module, data is uploaded to a 5G cloud server in real time through the 5G module, the received data is subjected to noise reduction processing through a deep learning algorithm in the cloud server, feature extraction is performed on the noise-reduced data through a resonance demodulation algorithm, finally, a fault type which may be generated is obtained, and a worker is notified to process a fault part.
Wherein, the triaxial temperature that this embodiment adopted shakes the sensor and gathers the signal with 10 kHz's sampling frequency, and the upload rate of signal is higher than 150Mbps, and 5G network delay does not exceed 50ms, consequently can carry out real-time processing to the data of gathering. Meanwhile, the synchronous read-write clock of the synchronous transmission control module is controlled, so that the synchronous transmission of the data acquired by the warm vibration signal synchronous acquisition module to the synchronous transmission module is ensured, and the problem of data delay caused by cache is avoided. In addition, the vibration signals and the temperature signals in three directions are collected simultaneously, so that different characteristics of vibration in different directions can be reflected, the vibration signal difference in different directions is favorable for finding mechanical structure resonance caused by early faults, and the running state of the rolling mill can be comprehensively represented.
The application advantages of the triaxial temperature vibration sensor are shown in fig. 3, and in the system, resonance of a bearing outer ring or a mechanical structure caused by impact pulses generated by bearing faults can be collected by utilizing the high-frequency characteristic of the triaxial temperature vibration sensor, so that the impact pulses generated by the bearing faults can be extracted. In addition, the triaxial temperature vibration sensor can simultaneously acquire vibration signals and temperature signals in three directions, can reflect different characteristics of the rolling mill vibration in different directions, can compare the vibration signals in different directions, helps to find out the resonance caused by early failure possibly generated by a mechanical structure of the rolling mill, and is favorable for finding the early failure of the rolling mill. And the temperature of the equipment can be monitored simultaneously, and the condition that the rolling mill cannot normally run due to overhigh temperature of a motor, a gear box and the like can be prevented.
When the staff confirms that the system starts to operate, various protocols of the system are firstly configured and the 5G module is initialized. When the system receives the acquisition instruction, the transmission control module starts to drive the AD to acquire data, the AD sends the acquired data to the transmission control module through the SPI protocol, the transmission control module receives the data sent by the AD, uploads the data to the cloud end through the 5G module, and the data are processed and stored in the cloud end in real time.
Specifically, as shown in fig. 4, in the system, the AD module can simultaneously sample the vibration signals and the temperature signals in three directions by setting the AD module to be in a parallel input mode, so that the system can be ensured to reflect the operation state of the rolling mill at each moment. Data are sent to the transmission control module in a serial mode through the SPI, and the synchronization of the read-write clock is controlled, so that the problem of cache is avoided, and the collected data are directly transmitted to the 5G cloud end through the 5G module. The collected vibration data and temperature data in three directions are processed at the cloud end, fault monitoring and early warning are achieved, and specifically, as shown in fig. 5, due to the fact that the structure of a rolling mill is complex, signals at the early stage of a fault are weak, the signals are easily submerged in noise, and extraction is difficult. Therefore, the present embodiment processes the signal through the deep residual shrinkage network. Firstly, preprocessing a three-direction vibration data set acquired by a triaxial temperature and vibration integrated sensor, matrixing the three-direction vibration data into a multi-dimensional gray-scale image sample aiming at long-time sequence vibration signal data corresponding to multiple faults, and thermally coding the corresponding fault type, thereby obtaining a sample form which is easy to process by a deep learning model. Constructing a fault sample for further deep fault feature extraction by random sampling of a plurality of sampling points aiming at a full life cycle sample collected from normal to fault of a rolling mill bearing; and then adding the residual error item into the model for training on the basis of the multilayer CNN model, reducing the sample characteristic loss in the multilayer training process, and then using a soft thresholding and attention mechanism for the characteristic activation of the network model, thereby setting different thresholds aiming at noise-containing samples with different grades, realizing the noise reduction treatment of the samples and fully exposing the fault characteristics. And processing the signals by a resonance demodulation technology, extracting fault characteristic frequency from the signals, and analyzing fault types possibly generated by the rolling mill for reference of working personnel.
In conclusion, the rolling mill early fault monitoring and diagnosing system based on the 5G triaxial temperature vibration integrated technology can acquire vibration signals and temperature signals in three directions simultaneously, vibration signal differences in different directions are beneficial to finding mechanical structure resonance caused by early faults, and the vibration temperature characteristic quantity is beneficial to comprehensively representing the running state of the rolling mill. The multi-channel AD synchronous acquisition module is used, temperature vibration data can be acquired simultaneously, the clock is synchronously read and written through the temperature vibration signal transmission control module, the acquired data are guaranteed to be sent to the cloud in real time, the problem that data are lost due to time delay caused by caching can be avoided, and the real-time performance and accuracy of the data are guaranteed. The vibration waveform and the temperature data are transmitted to a cloud server at a high speed in real time through a 5G technology, and an accurate data source is provided for real-time diagnosis and analysis of remote faults. In the cloud server, algorithms such as deep learning are used for carrying out collaborative analysis and processing on temperature and vibration data, and for the early weak problem of a fault signal, noise reduction processing is carried out on the data through a deep residual shrinkage network, so that noise information is effectively eliminated, more accurate fault characteristics are obtained, and early warning and fault identification of the running state of the rolling mill are facilitated.
Furthermore, it should be noted that the present invention may be provided as a method, apparatus or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied in the medium.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, embedded processor, or other programmable data processing terminal to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing terminal to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing terminal to cause a series of operational steps to be performed on the computer or other programmable terminal to produce a computer implemented process such that the instructions which execute on the computer or other programmable terminal provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should also be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or terminal apparatus that comprises the element.
Finally, it should be noted that while the above describes a preferred embodiment of the invention, it will be appreciated by those skilled in the art that, once having the benefit of the teaching of the present invention, numerous modifications and adaptations may be made without departing from the principles of the invention and are intended to be within the scope of the invention. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Claims (8)
1. A rolling mill early fault monitoring and diagnosis system based on a 5G triaxial temperature vibration integrated technology is characterized by comprising a temperature vibration signal synchronous acquisition module, a transmission control module, a temperature vibration signal synchronous transmission module and a cloud server; the system comprises a temperature and vibration signal synchronous acquisition module, a transmission control module, a temperature and vibration signal synchronous transmission module and a cloud server, wherein the temperature and vibration signal synchronous acquisition module is connected with the transmission control module, the transmission control module is connected with the temperature and vibration signal synchronous transmission module, and the temperature and vibration signal synchronous transmission module is connected with the cloud server;
when the system works, the transmission control module is used for initializing the temperature and vibration signal synchronous acquisition module and starting the temperature and vibration signal synchronous transmission module at the same time; temperature vibration signal synchronous acquisition module is used for presetting the vibration signal and the temperature signal of position three direction of department to the rolling mill simultaneously and gathers, temperature vibration signal synchronous transmission module is used for adopting the 5G network will the signal real-time transmission that temperature vibration signal synchronous acquisition module gathered extremely the high in the clouds server, the high in the clouds server is used for the basis the signal that temperature vibration signal synchronous acquisition module gathered judges whether the rolling mill produces the trouble in real time to give the staff with the result real-time feedback.
2. The rolling mill early fault monitoring and diagnosis system based on 5G triaxial temperature and vibration integration technology as claimed in claim 1, wherein the temperature and vibration signal synchronous acquisition module comprises a triaxial temperature and vibration sensor, a low pass filter and an AD module; the triaxial temperature vibration sensor is connected with the low-pass filter, and the low-pass filter is connected with the AD module;
the signal transmission that triaxial temperature vibration sensor gathered gives low pass filter, low pass filter handles the signal earlier, filters the noise signal more than 10kHz, gives the signal transmission after the filtration AD module again, transmission control module control the AD module is right three direction vibration signal and the temperature signal that triaxial temperature vibration sensor gathered carry out analog-to-digital conversion, converts analog signal into digital signal, starts simultaneously temperature vibration signal synchronous transmission module, temperature vibration signal synchronous transmission module establishes local and cloud server's being connected through the 5G network of high-speed low time delay, will through the 5G network three direction vibration signal and the temperature signal synchronous transmission who temperature vibration signal synchronous acquisition module gathered extremely the high in the clouds server.
3. The rolling mill early fault monitoring and diagnosis system based on the 5G three-axis temperature and vibration integration technology as claimed in claim 1, wherein the cloud server is specifically configured to: and carrying out noise reduction processing on the received data through a deep learning algorithm, and carrying out feature extraction on the noise-reduced data through a resonance demodulation algorithm to finally obtain a fault type which can be generated.
4. The rolling mill early fault monitoring and diagnosis system based on 5G triaxial temperature and vibration integration technology as claimed in claim 2, wherein the temperature and vibration signal synchronous acquisition module and the transmission control module communicate by using SPI communication protocol.
5. The rolling mill early fault monitoring and diagnosis system based on 5G three-shaft temperature and vibration integrated technology as claimed in claim 2, wherein the rear end of the three-shaft temperature and vibration sensor is connected with a constant current source for supplying power to the three-shaft temperature and vibration sensor.
6. The rolling mill early fault monitoring and diagnosis system based on the 5G triaxial temperature and vibration integrated technology as claimed in claim 2, wherein the triaxial temperature and vibration sensor is arranged at bearings of a reduction gearbox and a gear box of the rolling mill; the triaxial temperature vibration sensor collects signals at a sampling frequency of 10kHz, and the uploading rate of the signals is higher than 150Mbps.
7. The rolling mill early fault monitoring and diagnosis system based on 5G triaxial temperature and vibration integration technology as claimed in claim 3, wherein the performing noise reduction processing on the received data through a deep learning algorithm comprises:
and carrying out noise reduction processing on the data through a depth residual shrinkage network in a deep learning algorithm.
8. The rolling mill early fault monitoring and diagnosis system based on 5G triaxial temperature and vibration integration technology as claimed in claim 1, wherein when the temperature and vibration signal synchronous acquisition module and the temperature and vibration signal synchronous transmission module perform data transmission, the synchronous transmission control module is controlled to synchronously read and write a clock, so as to ensure that the data acquired by the temperature and vibration signal synchronous acquisition module is synchronously transmitted to the temperature and vibration signal synchronous transmission module, thereby avoiding the data delay problem caused by cache.
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| CN118051860A (en) * | 2024-04-15 | 2024-05-17 | 西安瓦力机电科技有限公司 | Intelligent high-precision gear reducer monitoring and diagnosing system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN118051860A (en) * | 2024-04-15 | 2024-05-17 | 西安瓦力机电科技有限公司 | Intelligent high-precision gear reducer monitoring and diagnosing system |
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