CN116412895A - Carrier roller vibration measuring device based on optical fiber sensor - Google Patents
Carrier roller vibration measuring device based on optical fiber sensor Download PDFInfo
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Abstract
The utility model provides a bearing roller vibration measurement device based on optical fiber sensor, whole continuous optical fiber sensor arrange as optical element in one side of conveyer belt bearing roller subassembly, and arrange along the belt of bearing roller subassembly along the line direction for monitor the vibration signal of bearing roller has solved present distributed measurement, signal discontinuity etc. technical barrier. The whole continuous optical fiber sensor is a phase modulation type optical fiber sensor; the signal analysis device comprises a system denoising module, a space decoupling module, a data training module, a positioning analysis module, a signal alarm module and a scheme making module, and is used for receiving carrier roller vibration signals along the belt and finally monitoring the running state of a carrier roller assembly in real time through a series of processes. The application adopts fiber sensor to arrange along the belt line, carries out 24 hours comprehensive monitoring to bearing roller vibration state, and every hundred meters construction, installation, maintenance, the expense of change are less than inspection robot far away to can retrieve the state of arbitrary measurement station at any time and carry out the analysis.
Description
Technical Field
The disclosure relates to the technical field of vibration measurement, in particular to a carrier roller vibration measurement device based on an optical fiber sensor.
Background
The belt conveyor is the main mode of current bulk material conveying, the length is tens of meters, the length is tens of kilometers, and the carrier roller is used as the most important component part of the belt conveyor and plays a role in supporting a conveying belt and materials. The carrier rollers can be divided into aligning carrier rollers, buffer carrier rollers, groove-shaped carrier rollers and parallel carrier rollers according to the application, and are also the most main vulnerable parts in the belt conveyor, and the national standard prescribes that the service life of the carrier rollers is not less than 2 ten thousand hours, however, because the service conditions of the belt conveyor are bad, including dust, corrosive substances, uneven load, falling object impact vibration and the like, the actual service life often cannot reach the standard, so the carrier roller state monitoring is particularly important.
Traditional inspection robot is difficult to go deep into the belt bottom and inspect, exists visual field blind spot, and the robot cost is high moreover, and later maintenance cost is also higher.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The utility model aims at providing a bearing roller vibration measuring device based on optical fiber sensor, and then overcome to at least to a certain extent because the restriction and the defect of correlation technique lead to traditional inspection robot be difficult to go deep into the belt bottom and inspect, there is the blind spot of field of view, and the robot cost is high moreover, the condition that later maintenance cost is also higher.
Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.
The present disclosure provides a carrier roller vibration measurement device based on an optical fiber sensor, comprising:
the carrier roller assembly is used for supporting a belt of the belt conveyor;
the whole continuous optical fiber sensor is arranged on one side of the carrier roller assembly and is arranged along the belt of the carrier roller assembly in the line direction and used for monitoring the vibration state of the carrier roller; the whole continuous optical fiber sensor is a phase modulation type optical fiber sensor;
and the data analysis device is used for analyzing and calculating the carrier roller vibration signals and data characteristics acquired by the vibration measurement device, determining abnormal vibration points and formulating a maintenance scheme for the fault mode.
Optionally, the idler assembly includes: the device comprises an upper carrier roller, a lower carrier roller, a side carrier roller, a bracket, a belt and a vibration reduction module;
the upper carrier roller, the lower carrier roller and the side carrier rollers are all rotatably arranged on the bracket;
the belt is sleeved on the bracket, and the belt positioned at the top of the bracket is in rolling contact with the upper carrier roller; the belt at the bottom of the bracket is in rolling contact with the lower carrier roller;
the side carrier rollers are in contact with the bottoms of the sides of the belt positioned at the top of the bracket, and the upper carrier rollers are positioned at the bottoms of the belt positioned at the top of the bracket;
the vibration reduction module is arranged on the carrier roller assembly and used for reducing noise except vibration of parts of the carrier roller assembly in the running process of the carrier roller assembly;
the vibration damping module is an active vibration damping module or a passive vibration damping module.
The whole continuous optical fiber sensor is positioned below the belt, and a single optical fiber sensor or a plurality of optical fiber sensors are installed according to actual sites;
optionally, the signal analysis device further includes:
(1) The system denoising module is used for filtering noise in the acquired vibration signals and extracting state monitoring characteristics;
(2) The space decoupling module is used for injecting structural noise, spatially decoupling complex signals under the influence of multiple vibration sources and decomposing the complex signals to obtain multiple groups of vibration signals under the single source;
(3) The data training module is used for acquiring the fault type of the carrier roller assembly in a characteristic extraction and cluster analysis mode and training the association relation between the vibration signal and the fault type of the corresponding component;
(4) And the positioning analysis module analyzes the vibration signals to obtain the occurrence positions of the vibration signals, and obtains the fault types corresponding to the vibration signals according to the association relation.
(5) The signal alarm module is used for setting vibration frequency and amplitude threshold values, and the system alarms when the vibration exceeds the threshold value range; and simultaneously, the large monitoring screen pops up an alarm area monitoring picture, and the fault type is confirmed again.
(6) And the scheme making module is used for making a maintenance scheme according to the fault type, wherein the maintenance scheme comprises the steps of disassembly, assembly, maintenance, replacement, vibration reduction module addition and the like.
Optionally, the system denoising module includes:
acquiring operational history data of the idler assembly, wherein the history data comprises: the vibration data of each component in the carrier roller assembly in a preset period before failure;
and adopting wavelet transformation to obtain different wavelet coefficients, setting the wavelet coefficient corresponding to noise as 0, and then reconstructing a carrier roller state signal to obtain the carrier roller state signal after noise filtering.
Let ψ (t) ∈L 2 (R),L 2 The fourier transform of (R) is:
satisfying equation (1), ψ (t) represents the mother wavelet:
and (3) stretching and translating the psi (t) to obtain a wavelet sequence, which is specifically as follows:
because the carrier roller state signal that the optical fiber sensor gathered is the digital signal, so construct discrete little sequence wave, specifically:
ψ j,k (t)＝2 -j2 ψ(2 -j t-k),j,k∈Z
the wavelet transform is specifically:
the inverse wavelet transform is:
optionally, the spatial decoupling module decouples the vibration signal, divides the decoupled vibration signal into different areas, configures different noise codes for each area, and separately maps each noise code to a corresponding area to obtain spatial decoupling.
Optionally, the data training module performs normalization processing on the vibration data, takes the normalized data as a training set in the data training module, takes a fault type corresponding to the normalized data as a result set in the data training module, and obtains a corresponding relation model between the vibration signal and the fault type by using an RBF neural network learning algorithm.
Optionally, the positioning analysis module includes:
performing real-time Fourier transform on the vibration data to obtain a sine wave combination with amplitude, frequency and phase;
the signal analysis upper computer receives the sine wave combination and analyzes the sine wave combination to obtain frequency domain spectrum data corresponding to the vibration signal;
the signal analysis upper computer analyzes the frequency spectrum data to find zero frequency points, and then analyzes the real-time position of the vibration signal by using a limited number of zero frequency points, namely the real-time position of the vibration signal.
Optionally, the system further comprises a signal alarm module which is connected with the signal analysis upper computer;
the alarm module is used for sending out an alarm signal when the vibration signal exceeds a preset threshold value.
Optionally, the system further comprises a scheme making module for making a maintenance scheme according to the failure modes of the main components and parts, wherein the maintenance scheme comprises the following maintenance modes: on-site disassembly, assembly, maintenance, replacement, addition of a vibration reduction module, maintenance of a factory, and the like; maintenance tool: the tools comprise general tools and special tools, and finally an integrated electronic maintenance scheme is generated.
The present disclosure provides a carrier roller vibration measurement device based on an optical fiber sensor, comprising: the carrier roller assembly is used for conveying materials; the whole continuous optical fiber sensor is arranged on one side of a carrier roller of the carrier roller assembly and is arranged along the direction of a belt line of the carrier roller assembly; the vibration signal is used for monitoring the carrier roller; the whole continuous optical fiber sensor is a phase modulation type optical fiber sensor; the data analysis device comprises a system denoising module, a space decoupling module, a data training module, a positioning analysis module, a signal alarm module and a scheme making module, and is used for receiving carrier roller vibration signals along the belt and finally monitoring the running state of a carrier roller assembly in real time through a series of processes. The application adopts fiber sensor to arrange along the belt line, carries out 24 hours comprehensive monitoring to bearing roller vibration state, and every hundred meters construction, installation, maintenance, the expense of change are less than inspection robot far away to can retrieve the state of arbitrary measurement station at any time and carry out the analysis.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
Fig. 1 schematically illustrates a resulting schematic of a idler assembly in an exemplary embodiment of the present disclosure;
fig. 2 schematically illustrates a schematic view of a idler assembly and an optical fiber sensor in an exemplary embodiment of the present disclosure;
fig. 3 schematically illustrates a system architecture diagram of a carrier roller vibration measurement device in an exemplary embodiment of the present disclosure;
FIG. 4 schematically illustrates a schematic diagram of one partial noise spatial multi-decoupling in an exemplary embodiment of the present disclosure;
fig. 5 schematically illustrates an internal block diagram of a data analysis device in an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
The block diagrams depicted in the figures are merely functional entities and do not necessarily correspond to physically separate entities. That is, the functional entities may be implemented in software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The flow diagrams depicted in the figures are exemplary only, and do not necessarily include all of the elements and operations/steps, nor must they be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the order of actual execution may be changed according to actual situations.
The present disclosure proposes a carrier roller vibration signal measuring device based on optical fiber sensor, including: the carrier roller assembly is used for supporting a belt of the belt conveyor; the whole continuous optical fiber sensor is arranged on one side of the carrier roller assembly and is arranged along the belt of the carrier roller assembly in the line direction and used for monitoring the vibration state of the carrier roller; the whole continuous optical fiber sensor is a phase modulation type optical fiber sensor; and the signal analysis device is used for analyzing and calculating the carrier roller vibration signals and data characteristics acquired by the vibration measurement device, determining abnormal vibration points and formulating a maintenance scheme for the fault mode. In this exemplary embodiment, referring to fig. 1, the current optical fiber sensor is based on the principle of a light transmission type sensor, and is a distributed optical fiber, each monitoring position needs to be independently laid, and it is difficult to satisfy the monitoring along the whole belt. The invention adopts the whole continuous optical fiber sensor to be arranged along the belt line, adopts the sensing type sensor principle to carry out sensitive transmission on the detected signal and the transmission of the optical signal, and combines the transmission and the sensing of the signal into a whole. When the vibration of different degrees of the equipment state changes the wavelength, the phase or the polarization state of the transmitted light, the optical fiber sensor is correspondingly called a phase modulation type optical fiber sensor.
Referring to fig. 2, the whole continuous optical fiber sensor is arranged at one side of the carrier roller assembly and is arranged along the direction of the belt line of the carrier roller assembly, so that the whole continuous optical fiber sensor can completely monitor the industrial belt conveyor.
Referring to fig. 3, fig. 3 is a schematic diagram of a device and a system provided by the application, vibration signals generated by a belt conveyor are transmitted to an optical fiber, the vibration signals on the optical fiber are converted by a coupler and are matched with a signal input end of a photoelectric detector, the photoelectric detector receives the vibration signals and processes the vibration signals, the processed vibration signals are transmitted to a data acquisition card, the data acquisition card records the processed vibration signals and transmits the processed vibration signals to a signal analysis upper computer system, and the signal analysis upper computer system analyzes the vibration signals and obtains fault types corresponding to the vibration signals. With reference to fig. 3, the workflow of the device and system of the present application is as follows: light source (laser) →optical fiber → (when external environmental factors such as temperature, pressure, electric field, magnetic field, etc. change) →modulator →optical fiber → demodulation.
In one embodiment, the idler assembly comprises: the device comprises an upper carrier roller, a lower carrier roller, a side carrier roller, a bracket, a belt and a vibration reduction module; the upper carrier roller, the lower carrier roller and the side carrier rollers are all rotatably arranged on the bracket; the belt is sleeved on the bracket, and the belt positioned at the top of the bracket is in rolling contact with the upper carrier roller; the belt at the bottom of the bracket is in rolling contact with the lower carrier roller; the side carrier rollers are in contact with the bottoms of the sides of the belt positioned at the top of the bracket, and the upper carrier rollers are positioned at the bottoms of the belt positioned at the top of the bracket; the vibration reduction module is arranged on the carrier roller assembly and used for reducing noise except vibration of parts of the carrier roller assembly in the running process of the carrier roller assembly; the vibration damping module is an active vibration damping module or a passive vibration damping module. The whole continuous optical fiber sensor is positioned below the belt, and a single optical fiber sensor or a plurality of optical fiber sensors are installed according to actual sites;
in one embodiment, the data analysis device includes: (1) The system denoising module is used for filtering noise in the acquired vibration signals and extracting state monitoring characteristics; (2) The space decoupling module is used for injecting structural noise, spatially decoupling complex signals under the influence of multiple vibration sources and decomposing the complex signals to obtain multiple groups of vibration signals under the single source; (3) The data training module is used for acquiring the fault type of the carrier roller assembly in a characteristic extraction and cluster analysis mode and training the association relation between the vibration signal and the fault type of the corresponding component; (4) And the positioning analysis module analyzes the vibration signals to obtain the occurrence positions of the vibration signals, and obtains the fault types corresponding to the vibration signals according to the association relation. (5) The signal alarm module is used for setting vibration frequency and amplitude threshold values, and the system alarms when the vibration exceeds the threshold value range; and simultaneously, the large monitoring screen pops up an alarm area monitoring picture, and the fault type is confirmed again. (6) And the scheme making module is used for making a maintenance scheme according to the fault type, wherein the maintenance scheme comprises the steps of disassembly, assembly, maintenance, replacement, vibration reduction module addition and the like.
In this example embodiment, the data training module is configured to extract and perform cluster analysis on fault characteristics of main components of the carrier roller, so as to mainly obtain the following fault modes, and for more than ten typical faults, such as cracks, wear, fracture, deformation, corrosion, gluing, flaking, aging embrittlement, insufficient elasticity, seizing, and the like. And performing spectrum analysis on the vibration signals monitored by the vibration sensor, including time domain and frequency domain analysis.
Specifically, the fault type may be found in the following table:
in the present exemplary embodiment, taking a bearing as an example, firstly, a carrier roller bearing state signal is collected, and wavelet transformation is adopted to remove noise of the bearing state signal; then extracting bearing state monitoring characteristics and carrying out normalization treatment on the bearing state monitoring characteristics; and finally, learning the relation between the characteristics and the bearing state by adopting an RBF neural network, and establishing a bearing state monitoring model.
In one embodiment, the system denoising module includes: acquiring operational history data of the idler assembly, wherein the history data comprises: the vibration data of each component in the carrier roller assembly in a preset period before failure; different wavelet coefficients are obtained by wavelet transformation, the wavelet coefficient corresponding to noise is set to 0, and then the carrier roller state signal is reconstructed to obtain the carrier roller state signal after noise is filtered.
Let ψ (t) ∈L 2 (R),L 2 The fourier transform of (R) is:
satisfying equation (1), ψ (t) represents the mother wavelet:
and (3) stretching and translating the psi (t) to obtain a wavelet sequence, which is specifically as follows:
because the carrier roller state signal that the optical fiber sensor gathered is the digital signal, so construct discrete little sequence wave, specifically:
ψ j,k (t)＝2 -j2 ψ(2 -j t-k),j,k∈Z
the wavelet transform is specifically:
the inverse wavelet transform is:
in a specific embodiment, the spatial decoupling module decouples the vibration signal, divides the decoupled vibration signal into different areas, configures different noise codes for each area, and separately maps each noise code to a corresponding area to obtain spatial decoupling.
Specifically, the algorithm adopted in the decoupling process is as follows:
W i ∈R 512×8
z i ∈R 8×1
in this example embodiment, as shown in fig. 4, decoupling is achieved by injecting structural noise, dividing the input tensor into different regions, each region providing a different noise coding, and a separate mapping of each coding to the corresponding region, resulting in spatial decoupling. The mapping is reconstructed such that z is made up of independently sampled portions, each mapped using an independent portion of W. In this example, W is independently sparse.
In one specific embodiment, the normalizing the vibration data by the data training module includes: and carrying out normalization processing on the vibration data, inputting the normalized data into the state monitoring module to serve as a training set, and inputting the fault type corresponding to the normalized data into the state monitoring module to serve as a result set, so that the trained state monitoring module is obtained.
In one embodiment, the positioning analysis module includes: performing real-time Fourier transform on the vibration data to obtain a sine wave combination with amplitude, frequency and phase; the signal analysis upper computer receives the sine wave combination and analyzes the sine wave combination to obtain frequency domain spectrum data corresponding to the vibration signal; the signal analysis upper computer analyzes the frequency spectrum data to find zero frequency points, and then analyzes the real-time position of the vibration signal by using a limited number of zero frequency points, namely the real-time position of the vibration signal.
In this exemplary embodiment, when the vibration signal perturbs the optical fiber, the refractive index of the optical fiber changes, which causes the phase of the optical signal to change, and the phase information is analyzed to obtain the position information at which the vibration signal occurs.
1. Carrying out real-time Fourier transformation on the monitored vibration signals to obtain a series of sine wave combinations with different amplitudes, frequencies and phases, wherein the sine functions are as follows:
f (t) is the Fourier expansion result of the vibration signal light phase change, A x 、ω x 、
The amplitude, frequency and phase of the xth sine wave are respectively represented, and t is the duration of the occurrence of the vibration signal on the sensing fiber.
2. The vibration signal frequency f satisfies the following relation:
the propagation speed of light in vacuum is c, and the refractive index of the optical fiber used in the system is n.
3.
At this time, Δf (t) =0, and the frequency f is a zero frequency point, the distance H between the zero frequency point f and the end of the vibration signal generation position and the sensing fiber has the following relationship:
in the signal analysis upper computer system, the transmitted signal is subjected to real-time Fourier transform to obtain frequency domain spectrum data, the frequency spectrum data is analyzed to find zero frequency points, and then the real-time positions of vibration signals are analyzed by using a limited number of zero frequency points, namely the real-time positions of vibration, so that the vibration state of each monitoring point is tracked and positioned in real time.
In a specific implementation mode, the system further comprises a signal alarm module which is connected with the signal analysis upper computer; the alarm module is used for sending out an alarm signal when the vibration signal exceeds a preset threshold value.
In the present exemplary embodiment, a vibration frequency and an amplitude threshold are set, and when vibration exceeds a threshold range, the system alarms; and simultaneously, the large monitoring screen pops up an alarm area monitoring picture, and the fault type is confirmed again.
In the embodiment, vibration generated under different conditions such as wind and rain, small animals, man-made beating, construction and the like can be distinguished through waveform analysis, vibration reasons are distinguished, third party intrusion behaviors and normal interference are distinguished, and alarm and positioning functions are realized. Unnecessary alarms are filtered out, and the false alarm rate is reduced to the maximum extent.
In a specific embodiment, the system further comprises a scheme making module for making a maintenance scheme according to the failure modes of the main components and the parts, wherein the maintenance scheme comprises the following maintenance modes: on-site disassembly, assembly, maintenance, replacement, addition of a vibration reduction module, maintenance of a factory, and the like; maintenance tool: the tools comprise general tools and special tools, and finally an integrated electronic maintenance scheme is generated.
In this example embodiment, the system is optimized for vibration reduction by analysis of the monitoring results to improve system stability and increase service life. Such as additional subsystems, vibration isolators, vibration absorbers, adding dissipative damping, and bumpers; but also provides an improved method for design.
According to the carrier roller vibration measuring device based on the optical fiber sensor, in the temporary noise identification process, differences of noise in frequency, energy and statistical characteristics are analyzed through an artificial intelligent analysis algorithm (such as a neural network, deep learning and the like), waveform data are classified and compared, and self-adaptive extraction is achieved.
Furthermore, the above-described drawings are only schematic illustrations of processes included in the method according to the exemplary embodiment of the present invention, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It is to be understood that the present disclosure is not limited to the precise arrangements and instrumentalities shown in the drawings, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (9)
1. An idler vibration measurement device based on optical fiber sensor, characterized by comprising:
the carrier roller assembly is used for supporting a belt of the belt conveyor;
the whole continuous optical fiber sensor is arranged on one side of the carrier roller assembly and is arranged along the belt of the carrier roller assembly in the line direction and used for monitoring the vibration signal of the carrier roller; the whole continuous optical fiber sensor is a phase modulation type optical fiber sensor;
and the signal analysis device is used for analyzing and calculating the carrier roller vibration signals and data characteristics acquired by the vibration measurement device, determining abnormal vibration points and formulating a maintenance scheme for the fault mode.
2. The fiber optic sensor-based idler vibration measurement apparatus of claim 1, wherein the idler assembly comprises: the device comprises an upper carrier roller, a lower carrier roller, a side carrier roller, a bracket, a belt and a vibration reduction module;
the upper carrier roller, the lower carrier roller and the side carrier rollers are all rotatably arranged on the bracket;
the belt is sleeved on the bracket, and the belt positioned at the top of the bracket is in rolling contact with the upper carrier roller; the belt at the bottom of the bracket is in rolling contact with the lower carrier roller;
the side carrier rollers are in contact with the bottoms of the sides of the belt positioned at the top of the bracket, and the upper carrier rollers are positioned at the bottoms of the belt positioned at the top of the bracket;
the vibration reduction module is arranged on the carrier roller assembly and used for reducing noise except vibration of parts of the carrier roller assembly in the running process of the carrier roller assembly;
the vibration damping module is an active vibration damping module or a passive vibration damping module.
The whole continuous optical fiber sensor is positioned below the belt, and single or multiple optical fiber sensors are installed according to actual sites.
3. The fiber sensor-based idler vibration measurement apparatus of claim 1, wherein the signal analysis apparatus further comprises:
(1) The system denoising module is used for filtering noise in the acquired vibration signals and extracting state monitoring characteristics;
(2) The space decoupling module is used for injecting structural noise, spatially decoupling complex signals under the influence of multiple vibration sources and decomposing the complex signals to obtain multiple groups of vibration signals under the single source;
(3) The data training module is used for acquiring the fault type of the carrier roller assembly in a characteristic extraction and cluster analysis mode and training the association relation between the vibration signal and the fault type of the corresponding component;
(4) And the positioning analysis module analyzes the vibration signals to obtain the occurrence positions of the vibration signals, and obtains the fault types corresponding to the vibration signals according to the association relation.
(5) The signal alarm module is used for setting vibration frequency and amplitude threshold values, and the system alarms when the vibration exceeds the threshold value range; and simultaneously, the large monitoring screen pops up an alarm area monitoring picture, and the fault type is confirmed again.
(6) And the scheme making module is used for making a maintenance scheme according to the fault type, wherein the maintenance scheme comprises the steps of disassembly, assembly, maintenance, replacement, vibration reduction module addition and the like.
4. The fiber sensor-based idler vibration measurement apparatus of claim 1, wherein the system denoising module comprises:
acquiring operational history data of the idler assembly, wherein the history data comprises: the vibration data of each component in the carrier roller assembly in a preset period before failure;
different wavelet coefficients are obtained through wavelet transformation, the wavelet coefficient corresponding to noise is set to be 0, then the carrier roller state signal is reconstructed, and the carrier roller state signal after noise filtering is obtained.
Let ψ (t) ∈L 2 (R),L 2 The fourier transform of (R) is:
satisfying equation (1), ψ (t) represents the mother wavelet:
and (3) stretching and translating the psi (t) to obtain a wavelet sequence, which is specifically as follows:
because the carrier roller state signal that the optical fiber sensor gathered is the digital signal, so construct discrete little sequence wave, specifically:
ψ j,k (t)＝2 -j/2 ψ(2 -j t-k),j,k∈Z
the wavelet transform is specifically:
the inverse wavelet transform is:
5. the fiber sensor-based idler vibration measurement device according to claim 1, wherein the spatial decoupling module decouples the vibration signal, divides the decoupled vibration signal into different regions, configures each region with a different noise code, and separately maps each noise code to a corresponding region to obtain spatial decoupling.
6. The idler vibration measurement device based on the optical fiber sensor according to claim 1, wherein the data training module performs normalization processing on the vibration data, takes the normalized data as a training set in the data training module, takes a fault type corresponding to the normalized data as a result set in the data training module, and obtains a corresponding relation model between the vibration signal and the fault type by utilizing an RBF neural network learning algorithm.
7. The fiber sensor-based idler vibration measurement apparatus of claim 1, wherein the positioning analysis module comprises:
performing real-time Fourier transform on the vibration data to obtain a sine wave combination with amplitude, frequency and phase;
the signal analysis upper computer receives the sine wave combination and analyzes the sine wave combination to obtain frequency domain spectrum data corresponding to the vibration signal;
the signal analysis upper computer analyzes the frequency spectrum data to find zero frequency points, and then analyzes the real-time position of the vibration signal by using a limited number of zero frequency points, namely the real-time position of the vibration signal.
8. The carrier roller vibration measuring device based on the optical fiber sensor according to claim 1, further comprising a signal alarm module connected with the signal analysis upper computer;
the alarm module is used for sending out an alarm signal when the vibration signal exceeds a preset threshold value.
9. The fiber sensor-based idler vibration measurement apparatus of claim 1, further comprising a solution formulation module for formulating a maintenance solution according to failure modes of the main components and parts, the maintenance solution comprising a maintenance mode: on-site disassembly, assembly, maintenance, replacement, addition of a vibration reduction module, maintenance of a factory, and the like; maintenance tool: the tools comprise general tools and special tools, and finally an integrated electronic maintenance scheme is generated.
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| CN117383200A (en) * | 2023-12-12 | 2024-01-12 | 石家庄宜中机电技术有限公司 | Belt conveyor on-line monitoring device based on distributed optical fiber vibration monitoring technology |
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| CN117383200A (en) * | 2023-12-12 | 2024-01-12 | 石家庄宜中机电技术有限公司 | Belt conveyor on-line monitoring device based on distributed optical fiber vibration monitoring technology |
| CN117383200B (en) * | 2023-12-12 | 2024-03-01 | 石家庄宜中机电技术有限公司 | Belt conveyor on-line monitoring device based on distributed optical fiber vibration monitoring technology |
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