An online rolling mill monitoring method, device, apparatus and medium

Abstract

The application discloses an online rolling mill monitoring method, which comprises the following steps: obtaining a vibration signal, wherein the vibration signal is generated when a device operating part works; integrating the vibration signal to obtain an integral result; arranging the integral result in time sequence, fitting the arranged integral result into a trend line, and using the trend line to represent the development trend of the device state; and monitoring the rolling mill according to the trend line. The application can reduce the influence of the steel rolling impact on the device state trend to a very small value, which can be ignored, so that the system does not need to access the production operation data, does not need to control the time of the steel rolling impact, and can eliminate the influence of the steel rolling impact on the alarm accuracy of the online state monitoring system.

Description

Technical Field

[0001] This invention relates to the field of equipment monitoring, specifically to an online rolling mill monitoring method, device, equipment, and medium. Background Technology

[0002] Rolling mills are essential metal processing equipment in every steel mill. Except for special endless rolling processes, most steel rolling production involves single-slab rolling or semi-endless rolling. For a single rolling mill reducer, if the rolling process is not continuous, significant instantaneous impacts occur between the rolls and the billet as the billet enters the rolls and when the billet is fully desulfurized. These impacts are strong enough to cause increased vibration in all components of the rolling mill. Furthermore, the online monitoring system for the rolling mill reducer, including the rolls, needs to capture the reducer's operating status in real time, such as vibration speed and acceleration. Trend management tools should be used to issue alarms when vibration speed and acceleration increase. In practical applications, the impact of the rolls passing through the steel significantly increases the false alarm rate of the online monitoring system, causing considerable interference and difficulty in diagnosing faults in the rolling mill reducer. Summary of the Invention

[0003] In view of the shortcomings of the prior art described above, the present invention provides an online mill monitoring method, device, equipment and medium to solve the above technical problems.

[0004] This invention provides an online rolling mill monitoring method, the method comprising:

[0005] Acquire vibration signals, which are generated when the operating parts of the equipment are working;

[0006] The vibration signal is integrated to obtain the integration result;

[0007] The integration results are arranged in chronological order, and the sorted integration results are fitted into a trend line, which is used to represent the development trend of the equipment status.

[0008] The rolling mill is monitored based on the trend line.

[0009] In one embodiment of the present invention, integrating the vibration signal includes:

[0010] The vibration signal is then converted from analog to digital to obtain a time-domain signal value.

[0011] The time-domain signal values ​​are arranged in chronological order and fitted into a curve to obtain the fitted curve;

[0012] The fitted curves are grouped at fixed time intervals to obtain multiple time-domain plots;

[0013] Multiple integration results were obtained by integrating the multiple time-domain plots separately.

[0014] In one embodiment of the present invention, acquiring the vibration signal includes: collecting the vibration signal through a triaxial accelerometer, wherein the triaxial accelerometer is disposed on the bearing housing or bearing end cover of the rolling mill reducer.

[0015] In one embodiment of the present invention, the vibration signal is converted from analog to digital by edge computing.

[0016] In one embodiment of the present invention, the method further includes: uploading each integration result and the corresponding time-domain signal value to a server.

[0017] In one embodiment of the present invention, the method further includes: performing a Fourier transform on each integral result to obtain a corresponding spectrum.

[0018] This invention provides an online rolling mill monitoring device, the monitoring device comprising:

[0019] The signal acquisition module is used to acquire vibration signals, which are generated when the operating parts of the equipment are working.

[0020] An integration module is used to integrate the vibration signal to obtain the integration result;

[0021] The fitting module is used to arrange the integration results in chronological order and fit the sorted integration results into a trend line, which is used to represent the development trend of the equipment status.

[0022] A monitoring module is used to monitor the rolling mill based on the trend line.

[0023] In one embodiment of the present invention, the integration module includes:

[0024] The analog-to-digital conversion submodule is used to convert the vibration signal into a time-domain signal value.

[0025] The fitting submodule is used to arrange the time-domain signal values ​​in chronological order and fit them into a curve to obtain the fitted curve.

[0026] The sub-module is used to group the fitted curve at fixed times to obtain multiple time-domain plots;

[0027] The integration submodule is used to integrate multiple time-domain graphs separately to obtain multiple integration results.

[0028] The present invention provides an electronic device, the electronic device comprising:

[0029] One or more processors;

[0030] A storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to perform the steps of the online mill monitoring method described above.

[0031] The present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a computer processor, causes the computer to perform the steps of the above-described online rolling mill monitoring method.

[0032] The beneficial effects of this invention are as follows: This invention provides an online rolling mill monitoring method, apparatus, equipment, and medium. The method includes: acquiring a vibration signal generated when the operating components of the equipment are working; integrating the vibration signal to obtain an integration result; arranging the integration result in chronological order and fitting the sorted integration result into a trend line, the trend line representing the development trend of the equipment status; and monitoring the rolling mill based on the trend line. This invention, through the application of an integral algorithm, minimizes the impact of rolling mill impact on the equipment status trend, making it negligible. Therefore, the system does not need to access production operation data, does not need to control the timing of rolling mill impacts, and can also eliminate the impact of rolling mill impacts on the alarm accuracy of the online status monitoring system.

[0033] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0034] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings:

[0035] Figure 1 A schematic diagram illustrating vibration signals generated when a device operating component is in operation, as shown in an exemplary embodiment of this application;

[0036] Figure 2 A schematic diagram illustrating the implementation environment of an online rolling mill monitoring method, as shown in an exemplary embodiment of this application;

[0037] Figure 3 A flowchart illustrating an online rolling mill monitoring method is shown as an exemplary embodiment of this application;

[0038] Figure 4A flowchart illustrating the integration of the vibration signal, as shown in an exemplary embodiment of this application;

[0039] Figure 5 A flowchart illustrating an online rolling mill monitoring device as an exemplary embodiment of this application;

[0040] Figure 6 A schematic diagram of the structure of a computer system suitable for implementing the electronic device of the present application is shown. Detailed Implementation

[0041] The embodiments of the present invention will be described below with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are only for illustrating the present invention and not for limiting the scope of protection of the present invention.

[0042] It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Therefore, the drawings only show the components related to the present invention and are not drawn according to the actual number, shape and size of the components in the actual implementation. In the actual implementation, the form, quantity and proportion of each component can be arbitrarily changed, and the layout of the components may also be more complex.

[0043] In the following description, numerous details are explored to provide a more thorough explanation of embodiments of the invention. However, it will be apparent to those skilled in the art that embodiments of the invention may be practiced without these specific details. In other embodiments, well-known structures and devices are shown in block diagram form rather than in detail to avoid obscuring embodiments of the invention.

[0044] Please see Figure 1 , Figure 1 This is a schematic diagram illustrating vibration signals generated when a device's operating components are in operation, as shown in an exemplary embodiment of this application. Figure 1 In the case of an impact on a piece of equipment, the impact amplitude is large, but the duration is very short, only a few milliseconds. During the impact phase, the integral of the amplitude curve over time can be used... Figure 1 The area of ​​shaded region 2 in the diagram represents the total area of ​​shaded region 1 and shaded region 2. However, for each single sample time t (e.g., 2 seconds) set by SWE, the integral of its amplitude over time, i.e., VE, is the sum of the areas of shaded region 1 and shaded region 2. Even if there are multiple impacts within a single sample time, their impact on the entire shaded region is relatively small and will not cause a large change in the VE trend, i.e., it will not cause false alarms.

[0045] Figure 2 This is a schematic diagram illustrating an exemplary online rolling mill monitoring method implementation environment according to this application. This implementation environment includes a vibration sensor 210, a data acquisition box 220, and a software server 230, with data interaction between the vibration sensor 210, the data acquisition box 220, and the software server 230. In this implementation environment, the vibration sensor acquires vibration signals generated when the operating parts of the equipment are working; then, the vibration signals are transmitted to the data acquisition box for data processing to obtain data processing results, which are then sent to the software server. The software server integrates the vibration signals to obtain an integral result; the integral results are arranged in chronological order, and the sorted integral results are fitted into a trend line, which represents the development trend of the equipment status; the rolling mill is monitored based on the trend line. This invention, through the application of an integral algorithm, minimizes the impact of rolling mill impact on the equipment status trend, making it negligible. Therefore, the system does not need to access production operation data, does not need to control the timing of rolling mill impact, and can also eliminate the impact of rolling mill impact on the alarm accuracy of the online status monitoring system.

[0046] The embodiments of this application respectively propose an online mill monitoring method, an online mill monitoring device, an electronic device, and a computer-readable storage medium, which will be described in detail below.

[0047] Please see Figure 3 , Figure 3 This is a flowchart illustrating an exemplary embodiment of an online rolling mill monitoring method according to this application. This method can be applied to... Figure 1 The implementation environment is shown, and the method is specifically executed by the vehicle control unit within that implementation environment. It should be understood that this method can also be applied to other exemplary implementation environments and executed by devices in other implementation environments; this embodiment does not limit the implementation environment to which the method is applicable.

[0048] Please see Figure 3 , Figure 3 This is a flowchart illustrating an exemplary online rolling mill monitoring method according to this application. The torsional vibration control method includes at least steps S310 to S340, detailed below:

[0049] Step S310: Acquire a vibration signal, which is generated when the operating parts of the equipment are working;

[0050] The acquisition of vibration signals includes: acquiring vibration signals through a triaxial accelerometer, wherein the triaxial accelerometer is installed on the bearing housing or bearing end cover of the rolling mill reducer.

[0051] The triaxial accelerometer is an active sensor, fixedly mounted on the bearing end cover of the rolling mill reducer. Mounting methods include magnetic suction, threaded hole mounting, or clamp mounting. The triaxial accelerometer is connected to a data acquisition box near the rolling mill reducer via a signal line, transmitting the analog signals collected by the sensor to the data acquisition box for edge computing. The data acquisition box performs analog-to-digital conversion according to flexible program settings to obtain the domain signal value VT, which is the commonly used instantaneous value of vibration acceleration.

[0052] Step S320: Integrate the vibration signal to obtain the integration result;

[0053] Please see Figure 4 , Figure 4 This is a flowchart illustrating the integration of the vibration signal, as shown in an exemplary embodiment of this application. Figure 4 In this context, integrating the vibration signal includes:

[0054] Step S410: Perform analog-to-digital conversion on the vibration signal to obtain a time-domain signal value;

[0055] In this embodiment, VT is used to represent the time-domain signal value of the vibration signal.

[0056] Step S420: Arrange the time-domain signal values ​​in chronological order and fit them into a curve to obtain the fitted curve;

[0057] Step S430: Group the fitted curves at fixed time intervals to obtain multiple time-domain plots;

[0058] The fixed time can be 2 seconds, which means that the fitted curves within 2 seconds are grouped together. This allows the fitted curves to be divided into multiple groups, and each group is a time-domain plot.

[0059] Step S440: Integrate the multiple time-domain graphs respectively to obtain multiple integration results.

[0060] Each time-domain graph VT is integrated over time t to obtain the integration result, which is represented by VE.

[0061] In one embodiment, the vibration signal is converted from analog to digital using edge computing.

[0062] Step S330: Arrange the integration results in chronological order and fit the sorted integration results into a trend line, which is used to represent the development trend of the equipment status.

[0063] In the aforementioned steps, multiple integral results VE are arranged in order of calculation completion time and fitted into a curve, i.e., an energy map. The energy map is then sent to the software server, where the analysis software on the server plots and displays the VE to obtain the equipment status trend.

[0064] In one embodiment, the method further includes uploading each integration result and the corresponding time-domain signal value to a server.

[0065] In one embodiment, the method further includes performing a Fourier transform on each integral result to obtain a corresponding spectrum.

[0066] The analysis software can perform Fourier transform on each VE data point of length t to obtain the corresponding spectrum of the time domain graph, which can be used by analysts for spectrum analysis.

[0067] Step S340: Monitor the rolling mill according to the trend line.

[0068] It should be noted that trend charts can be used to monitor data and determine whether an alarm is needed. The trend alarm in the analysis software is implemented by calculating whether the integrated data provided by the data acquisition box exceeds the alarm value, thus preventing the system from triggering alarms when the billet enters or leaves the rolling mill rolls.

[0069] The analysis software can remotely control the gain, analog-to-digital conversion frequency, fixed time t, etc. of the data acquisition box, and thus remotely control VT and VE to adapt to various working conditions.

[0070] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0071] In summary, the online mill monitoring method for automatically eliminating the impact of rolling mill impact, as proposed in this invention, can reduce the impact of rolling mill impact on equipment status trends to a negligible level through the application of an integral algorithm. Therefore, the system does not require access to production operation data or control over the timing of rolling mill impacts, and it can also eliminate the impact of rolling mill impacts on the alarm accuracy of the online status monitoring system. Thus, this invention effectively overcomes the various shortcomings of existing technologies and has high industrial application value.

[0072] Figure 5 This is a block diagram illustrating an online rolling mill monitoring device according to an exemplary embodiment of this application. The device can be applied to… Figure 2The implementation environment shown is specifically configured in a software server. This device can also be applied to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment to which the device is applicable.

[0073] like Figure 5 As shown, this application provides an online rolling mill monitoring device, which includes:

[0074] The signal acquisition module 510 is used to acquire vibration signals, which are generated when the operating parts of the equipment are working.

[0075] The integration module 520 is used to integrate the vibration signal to obtain the integration result;

[0076] The fitting module 530 is used to arrange the integration results in chronological order and fit the sorted integration results into a trend line, which is used to represent the development trend of the equipment status.

[0077] The monitoring module 540 is used to monitor the rolling mill according to the trend line.

[0078] In one embodiment, the integration module includes:

[0079] The analog-to-digital conversion submodule is used to convert the vibration signal into a time-domain signal value.

[0080] The fitting submodule is used to arrange the time-domain signal values ​​in chronological order and fit them into a curve to obtain the fitted curve.

[0081] The sub-module is used to group the fitted curve at fixed times to obtain multiple time-domain plots;

[0082] The integration submodule is used to integrate multiple time-domain graphs separately to obtain multiple integration results.

[0083] It should be noted that the online mill monitoring device and the online mill monitoring method provided in the above embodiments belong to the same concept. The specific operation methods of each module and unit have been described in detail in the method embodiments and will not be repeated here. In practical applications, the online mill monitoring device provided in the above embodiments can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. This is not a limitation here.

[0084] Embodiments of this application also provide an electronic device, including: one or more processors; and a storage device for storing one or more programs, which, when executed by the one or more processors, cause the electronic device to implement the online rolling mill monitoring method provided in the above embodiments.

[0085] Figure 6 A schematic diagram of a computer system suitable for implementing the embodiments of this application is shown. It should be noted that... Figure 6 The computer system of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0086] like Figure 6 As shown, the computer system includes a Central Processing Unit (CPU), which can perform various appropriate actions and processes based on programs stored in read-only memory (ROM) or loaded from storage into random access memory (RAM), such as executing the methods described in the above embodiments. The RAM also stores various programs and data required for system operation. The CPU, ROM, and RAM are interconnected via a bus. Input / output (I / O) interfaces are also connected to the bus.

[0087] The following components are connected to the I / O interface: input sections including keyboards, mice, etc.; output sections including cathode ray tubes (CRTs), liquid crystal displays (LCDs), and speakers; storage sections including hard drives; and communication sections including network interface cards such as LAN (Local Area Network) cards and modems. The communication sections perform communication processing via networks such as the Internet. Drives are also connected to the I / O interface as needed. Removable media, such as disks, optical discs, magneto-optical discs, semiconductor memories, etc., are installed on the drives as needed so that computer programs read from them can be installed into the storage sections as required.

[0088] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including methods for performing processes. Figure 2The computer program for the online mill monitoring method shown is described. In such an embodiment, the computer program can be downloaded and installed from a network via a communication component, and / or installed from a removable medium. When the computer program is executed by a central processing unit (CPU), it performs the various functions defined in the system of this application.

[0089] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media can also be any computer-readable medium other than computer-readable storage media, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The computer program contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.

[0090] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0091] The units described in the embodiments of this application can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself.

[0092] Another aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a computer's processor, causes the computer to perform the online mill monitoring method as described above. This computer-readable storage medium may be included in the electronic device described in the above embodiments, or it may exist independently and not incorporated into that electronic device.

[0093] Another aspect of this application provides a computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the online rolling mill monitoring method provided in the various embodiments described above.

[0094] The above embodiments are merely illustrative of the principles and effects of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by those skilled in the art without departing from the spirit and technical concept disclosed in the present invention should still be covered by the claims of the present invention.

Claims

1. An on-line rolling mill monitoring method, characterized by, The method comprises: acquiring a vibration signal, the vibration signal being generated when a device operating component is working; integrating the vibration signal to obtain an integral result; arranging the integral result in time sequence and fitting the arranged integral result into a trend line, the trend line being used to represent a development trend of a device state; monitoring the rolling mill according to the trend line; the integrating the vibration signal comprises: analog-digital converting the vibration signal to obtain a time domain signal value; arranging the time domain signal value in time sequence and fitting the arranged time domain signal value into a curve to obtain a fitting curve; grouping the fitting curve in fixed time to obtain a plurality of time domain graphs; integrating the plurality of time domain graphs respectively to obtain a plurality of integral results; the acquiring the vibration signal comprises: collecting the vibration signal through a three-axis acceleration sensor, wherein the three-axis acceleration sensor is arranged on a rolling mill speed reducer bearing seat or a bearing end cover; analog-digital converting the vibration signal through edge computing when the vibration signal is analog-digital converted; the method further comprises: uploading each integral result and the time domain signal value corresponding to each integral result to a server; the method further comprises: performing Fourier transform on each integral result to obtain a corresponding frequency spectrum graph.

2. An electronic device, comprising: The electronic device comprises: one or more processors; a storage device for storing one or more programs, when the one or more programs are executed by the one or more processors, the electronic device implements the steps of the online rolling mill monitoring method as claimed in claim 1.

3. A computer-readable storage medium, characterized in that, A computer program is stored thereon, when the computer program is executed by a processor of a computer, the computer executes the steps of the online rolling mill monitoring method as claimed in claim 1.

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