Carrier roller state monitoring method, device and equipment, storage medium and product
By installing sensors on the rollers to collect sound signals and perform feature extraction and comparison, the timely problem of roller status monitoring is solved, and timely detection and handling of roller faults is realized.
Patent Information
- Application Number
- CN202510553572.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-29
- Publication Date
- 2025-07-25
AI Technical Summary
The prior art is difficult to monitor the roller states in a timely and effective manner, resulting in failure to detect and deal with possible faults in a timely manner, which may lead to serious consequences.
By installing a preset sensor on the roller, collecting the initial sound signal, extracting the target sound signal and performing feature extraction, comparing the target sound characteristics with normal sound characteristics to monitor the roller status.
It realizes timely and effective monitoring of the roller status, and can detect faults in a timely manner, avoiding serious consequences caused by faults.
Smart Images
Figure CN120364362A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of idlers, and particularly to a method, device, equipment, storage medium and product for monitoring the state of idlers. Background Art
[0002] Idlers are key components in a conveyor belt system, usually used to support and guide the operation of the conveyor belt. It is widely used in industrial fields, such as mines, ports, power plants, cement plants and other scenarios. However, idlers may malfunction due to various reasons during long-term operation, and if these malfunctions cannot be detected and handled in time, serious consequences may occur. Therefore, how to monitor the state of idlers in a timely and effective manner has become an urgent problem to be solved. Summary of the Invention
[0003] The main purpose of this application is to provide a method, device, equipment, storage medium and product for monitoring the state of idlers, aiming to solve the technical problem of how to monitor the state of idlers in a timely and effective manner.
[0004] To achieve the above object, this application provides a method for monitoring the state of an idler, and the method for monitoring the state of an idler includes the following steps:
[0005] Collect an initial sound signal through a preset sensor on the idler to be monitored, and extract a target sound signal corresponding to the idler to be monitored from the initial sound signal;
[0006] Extract features from the target sound signal to obtain target sound features;
[0007] Monitor the state of the idler to be monitored according to the target sound features and the normal sound features corresponding to the idler to be monitored.
[0008] Optionally, the step of collecting an initial sound signal through a preset sensor on the idler to be monitored and extracting a target sound signal corresponding to the idler to be monitored from the initial sound signal specifically includes:
[0009] Collect an initial sound signal through a preset sensor on the idler to be monitored, and preprocess the initial sound signal to obtain a processed sound signal;
[0010] Judge whether there are other preset idlers within the preset range of the idler to be monitored;
[0011] If so, obtain a preset sound signal collected by a first sensor on the preset idler;
[0012] Extract the target sound signal corresponding to the idler to be monitored from the processed sound signal according to the preset sound signal.
[0013] Optionally, the step of extracting the target sound signal corresponding to the to-be-monitored idler from the processed sound signal according to the preset sound signal specifically includes:
[0014] Determine the sensor distance between the first sensor and the preset sensor;
[0015] Determine the ambient environment information of the to-be-monitored idler;
[0016] Adjust the preset sound signal according to the sensor distance and the ambient environment information to obtain an adjusted sound signal;
[0017] Extract the target sound signal corresponding to the to-be-monitored idler from the processed sound signal according to the adjusted sound signal.
[0018] Optionally, the step of performing status monitoring on the to-be-monitored idler according to the target sound characteristics and the normal sound characteristics corresponding to the to-be-monitored idler specifically includes:
[0019] Extract the target time-domain characteristics and target frequency-domain characteristics from the target sound characteristics, and extract the normal time-domain characteristics and normal frequency-domain characteristics from the normal sound characteristics corresponding to the to-be-monitored idler;
[0020] Compare the target time-domain characteristics with the normal time-domain characteristics to obtain a time-domain comparison result;
[0021] Compare the target frequency-domain characteristics with the normal frequency-domain characteristics to obtain a frequency-domain comparison result;
[0022] Perform status monitoring on the to-be-monitored idler according to the time-domain comparison result and the frequency-domain comparison result.
[0023] Optionally, the target sound signal includes a plurality of sound signals collected by a plurality of preset sensors;
[0024] After the step of performing status monitoring on the to-be-monitored idler according to the target sound characteristics and the normal sound characteristics corresponding to the to-be-monitored idler, it further includes:
[0025] If the to-be-monitored idler is in a fault state, perform variational mode decomposition processing on each of the target sound signals to obtain modal components corresponding to each of the target sound signals;
[0026] Determine the envelope spectrum corresponding to each of the target sound signals according to each of the modal components;
[0027] Determine the fault type and target fault location corresponding to the to-be-monitored idler according to the envelope spectrum.
[0028] Optionally, the step of determining the fault type and the target fault location corresponding to the to-be-monitored idler according to the envelope spectrum specifically includes:
[0029] Calculate the kurtosis value set corresponding to the envelope spectrum, and determine the fault type corresponding to the to-be-monitored idler according to the kurtosis value set;
[0030] Determine the maximum kurtosis value corresponding to each of the target sound signals according to the kurtosis value set, and determine the initial fault location corresponding to the to-be-monitored idler according to the maximum kurtosis value;
[0031] Determine the acquisition moment corresponding to the maximum kurtosis value, and adjust the initial fault location according to the acquisition moment to obtain the target fault location.
[0032] In addition, to achieve the above object, the present application further provides a idler state monitoring device, and the idler state monitoring device includes:
[0033] A signal extraction module, configured to collect an initial sound signal through a preset sensor on the to-be-monitored idler, and extract the target sound signal corresponding to the to-be-monitored idler from the initial sound signal;
[0034] A feature extraction module, configured to perform feature extraction on the target sound signal to obtain target sound features;
[0035] A state monitoring module, configured to perform state monitoring on the to-be-monitored idler according to the target sound features and the normal sound features corresponding to the to-be-monitored idler.
[0036] In addition, to achieve the above object, the present application further proposes a idler state monitoring device, and the idler state monitoring device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the idler state monitoring method as described above.
[0037] In addition, to achieve the above object, the present application further proposes a storage medium, the storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the idler state monitoring method as described above are implemented.
[0038] In addition, to achieve the above object, the present application further provides a computer program product, the computer program product includes a computer program, and when the computer program is executed by a processor, the steps of the idler state monitoring method as described above are implemented.
[0039] This application collects an initial sound signal through a preset sensor on the idler to be monitored, extracts the target sound signal corresponding to the idler to be monitored from the initial sound signal, then extracts features from the target sound signal to obtain target sound features, and finally monitors the status of the idler to be monitored based on the target sound features and the normal sound features corresponding to the idler to be monitored. This application first extracts the target sound signal from the initial sound signal, can effectively extract the target sound signal corresponding to the idler to be monitored from the initial sound signal collected by the preset sensor, and then compares according to the target sound features and normal sound features corresponding to the target sound signal, so that the status of the idler can be monitored in a timely and effective manner according to the comparison result to monitor whether the idler fails. BRIEF DESCRIPTION OF THE DRAWINGS
[0040] The drawings herein are incorporated into and constitute a part of this specification, showing embodiments consistent with the present application, and are used together with the specification to explain the principles of the present application.
[0041] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.
[0042] Figure 1 It is a schematic flowchart of the first embodiment of the idler status monitoring method of the present application;
[0043] Figure 2 It is a schematic flowchart of the second embodiment of the idler status monitoring method of the present application;
[0044] Figure 3 It is a schematic flowchart of the third embodiment of the idler status monitoring method of the present application;
[0045] Figure 4 It is a structural block diagram of the first embodiment of the idler status monitoring device of the present application;
[0046] Figure 5 It is a schematic structural diagram of the idler status monitoring device in the hardware operating environment involved in the embodiment solution of the present application.
[0047] The implementation, functional features, and advantages of the purpose of the present application will be further described in combination with the embodiments with reference to the drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0048] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.
[0049] To better understand the technical solution of the present application, the following will be described in detail in conjunction with the accompanying drawings of the specification and specific implementation manners.
[0050] The main solution of the embodiment of the present application is as follows: collecting an initial sound signal through a preset sensor on the idler to be monitored, and extracting the target sound signal corresponding to the idler to be monitored from the initial sound signal; performing feature extraction on the target sound signal to obtain target sound features; and monitoring the state of the idler to be monitored according to the target sound features and the normal sound features corresponding to the idler to be monitored.
[0051] Idlers are key components in the conveyor belt system and are usually used to support and guide the operation of the conveyor belt. It is widely used in industrial fields, such as in scenarios like mines, ports, power plants, cement plants, etc. However, idlers may malfunction due to various reasons during long-term operation, and if these malfunctions cannot be detected and handled in a timely manner, serious consequences may occur.
[0052] The present application collects an initial sound signal through a preset sensor on the idler to be monitored, extracts the target sound signal corresponding to the idler to be monitored from the initial sound signal, then performs feature extraction on the target sound signal to obtain target sound features, and then monitors the state of the idler to be monitored according to the target sound features and the normal sound features corresponding to the idler to be monitored. The present application first extracts the target sound signal from the initial sound signal, can effectively extract the target sound signal corresponding to the idler to be monitored from the initial sound signal collected by the preset sensor, and then compares according to the target sound features and normal sound features corresponding to the target sound signal, so as to be able to monitor the idler state in a timely and effective manner according to the comparison result and monitor whether the idler malfunctions.
[0053] It should be noted that the execution subject of the present application can be a computing service device with data processing, network communication, and program running functions, such as a tablet computer, a personal computer, etc., or an electronic device, an idler state monitoring device, etc. that can implement the above functions. Hereinafter, the idler state monitoring device will be taken as an example to describe this embodiment and the following embodiments.
[0054] Based on this, the embodiment of the present application provides an idler state monitoring method, referring to Figure 1 , Figure 1 which is a schematic flowchart of the first embodiment of the idler state monitoring method of the present application.
[0055] In this embodiment, the idler state monitoring method includes the following steps:
[0056] Step S10: Collect an initial sound signal through a preset sensor on the idler to be monitored, and extract the target sound signal corresponding to the idler to be monitored from the initial sound signal.
[0057] It is understandable that the idler to be monitored refers to the idler that needs to be monitored for its status, that is, to monitor whether the idler fails, such as bearing damage, deformation and other faults. In this embodiment, preset sensors can be installed on the idler to be monitored. The number of preset sensors can be one, two, three, etc. If one sensor is installed, it can be installed near the center position of the idler, close to the bearing area, because this is the key part of the idler operation and can reflect the operation status of the idler to the greatest extent. If two sensors are installed, one sensor can be installed near each bearing at both ends of the idler to monitor the vibration, sound or other characteristic signals at both ends respectively. If three sensors are installed, sensors can be installed at both ends and the middle position of the idler to form a uniform distribution. If the idler is relatively long, more sensors can be added and arranged at uniform intervals to ensure that the entire idler is covered.
[0058] It should be understood that since the conveyor belt system may contain multiple idlers, there may be other idlers around the idler to be monitored in this embodiment. Therefore, the initial sound signal collected by the preset sensor on the idler to be monitored may include the sound signals generated by other idlers. At this time, the target sound signal corresponding to the idler to be monitored can be extracted from the initial sound signal. The target sound signal is the sound signal generated by the idler to be monitored and does not include the sound signals generated by other idlers.
[0059] Step S20: Extract features from the target sound signal to obtain target sound features.
[0060] It is understandable that after obtaining the target sound signal corresponding to the idler to be monitored, features can be extracted from the target sound signal to obtain target sound features. The target sound features can include target time-domain features and target frequency-domain features. Specifically, for time-domain feature extraction, it can be directly calculated from the time-series data of the target sound signal, including root mean square value, peak value, peak factor, average absolute value, waveform factor, etc. For frequency-domain feature extraction, the time-domain signal can be converted into a complex frequency-domain representation through Fourier transform. Through Fourier transform, the frequency components of the signal and their corresponding amplitudes can be obtained.
[0061] Step S30: Monitor the status of the idler to be monitored according to the target sound features and the normal sound features corresponding to the idler to be monitored.
[0062] Further, in order to accurately and effectively perform condition monitoring on the to-be-monitored idler, in this embodiment, the step S30 includes: extracting target time-domain features and target frequency-domain features from the target sound features, and extracting normal time-domain features and normal frequency-domain features from the normal sound features corresponding to the to-be-monitored idler; comparing the target time-domain features with the normal time-domain features to obtain a time-domain comparison result; comparing the target frequency-domain features with the normal frequency-domain features to obtain a frequency-domain comparison result; and performing condition monitoring on the to-be-monitored idler according to the time-domain comparison result and the frequency-domain comparison result.
[0063] It should be understood that target time-domain features and target frequency-domain features can be extracted from the target sound features. It is also possible to determine and collect normal sound signals of the to-be-monitored idler in a normal state through a preset sensor, perform feature extraction on the normal sound signals to obtain normal sound features, and then extract normal time-domain features and normal frequency-domain features from the normal sound features.
[0064] It can be understood that the target time-domain features can be compared with the normal time-domain features. Specifically, the specific values of the target time-domain features and the normal time-domain features can be calculated and directly compared to obtain a time-domain comparison result. For example, the root mean square value, peak value, etc. in the normal time-domain features and the target time-domain features can be compared. The target frequency-domain features can also be compared with the normal frequency-domain features to obtain a frequency-domain comparison result. Specifically, the spectrogram in the target frequency-domain features can be compared with the spectrogram in the normal frequency-domain features.
[0065] In specific implementation, condition monitoring can be performed on the to-be-monitored idler according to the time-domain comparison result and the frequency-domain comparison result. Specifically, when the time-domain comparison result shows that the target time-domain features and the normal time-domain features are not much different and the frequency-domain comparison result shows that the target frequency-domain features and the normal frequency-domain features are not much different, the to-be-monitored idler is in a normal state; when the time-domain comparison result shows that the target time-domain features and the normal time-domain features are quite different and the frequency-domain comparison result shows that the target frequency-domain features and the normal frequency-domain features are quite different, the to-be-monitored idler is in a fault state; when the time-domain comparison result shows that the target time-domain features and the normal time-domain features are quite different or the frequency-domain comparison result shows that the target frequency-domain features and the normal frequency-domain features are quite different, the to-be-monitored idler is in a fault state.
[0066] In this embodiment, an initial sound signal is collected by a preset sensor on the idler to be monitored, and a target sound signal corresponding to the idler to be monitored is extracted from the initial sound signal. Then, feature extraction is performed on the target sound signal to obtain target sound features, and the state of the idler to be monitored is monitored based on the target sound features and the normal sound features corresponding to the idler to be monitored. In this embodiment, the target sound signal is first extracted from the initial sound signal, and the target sound signal corresponding to the idler to be monitored can be effectively extracted from the initial sound signal collected by the preset sensor. Then, a comparison is made based on the target sound features corresponding to the target sound signal and the normal sound features, so that the state of the idler can be monitored in a timely and effective manner according to the comparison result, and whether the idler has a fault can be monitored.
[0067] Reference Figure 2 , Figure 2 is a schematic flowchart of the second embodiment of the idler state monitoring method of the present application.
[0068] Based on the above first embodiment, in this embodiment, the step S10 includes:
[0069] Step S101: Collect an initial sound signal through a preset sensor on the idler to be monitored, and preprocess the initial sound signal to obtain a processed sound signal.
[0070] It can be understood that after collecting the initial sound signal through the preset sensor on the idler to be monitored, the initial sound signal can be preprocessed. Specifically, the collected initial sound signal can be filtered to remove unnecessary low-frequency or high-frequency noise to improve the signal-to-noise ratio. It is also necessary to normalize the data to ensure the consistency of the data collected under different conditions, and a processed sound signal is obtained.
[0071] Step S102: Determine whether there are other preset idlers within the preset range of the idler to be monitored.
[0072] It should be understood that the preset range can be a range that affects the collection of sound signals by the preset sensor on the idler to be monitored, and can be set as a range centered on the preset sensor on the idler to be monitored with a radius of 5 meters or 10 meters. Since the conveyor belt system may include multiple idlers, it is possible to determine whether there are other preset idlers within the preset range of the idler to be monitored.
[0073] Step S103: If so, obtain the preset sound signal collected by the first sensor on the preset idler.
[0074] In a specific implementation, when there are no other preset idlers within the preset range of the idler to be monitored, the processed sound signal can be used as the target sound signal. When there are other preset idlers within the preset range of the idler to be monitored, the preset sound signal collected by the first sensor on the preset idler can be obtained, and the number of the first sensors can be one or more.
[0075] Step S104: Extract the target sound signal corresponding to the idler to be monitored from the processed sound signal according to the preset sound signal.
[0076] Further, in order to effectively extract the target sound signal, in this embodiment, the step S104 includes: determining the sensor distance between the first sensor and the preset sensor; determining the ambient environment information of the idler to be monitored; adjusting the preset sound signal according to the sensor distance and the ambient environment information to obtain an adjusted sound signal; extracting the target sound signal corresponding to the idler to be monitored from the processed sound signal according to the adjusted sound signal.
[0077] It can be understood that in this embodiment, taking one first sensor installed on the preset idler and one preset sensor installed on the idler to be monitored as an example, the sensor distance between the first sensor and the preset sensor can be determined, and the ambient environment information of the idler to be monitored can also be determined.
[0078] It should be understood that the preset sound signal can be adjusted according to the sensor distance and the ambient environment information. Specifically, the noise in the preset sound signal can be filtered according to the ambient environment information to obtain a filtered signal, and then the time-domain features and frequency-domain features in the filtered signal can be adjusted according to the sensor distance. For example, the root mean square value, peak value, power spectral density, frequency band energy ratio, etc. are adjusted according to the sensor distance to obtain an adjusted sound signal, and this signal can represent the signal after the preset sound signal collected by the preset sensor on other preset idlers reaches the preset sensor on the idler to be monitored.
[0079] In a specific implementation, the target sound signal corresponding to the idler to be monitored can be extracted from the processed sound signal according to the adjusted sound signal. Specifically, the signal features of the processed sound signal can be adjusted according to the signal features of the adjusted sound signal. For example, the root mean square value, peak value, power spectral density, frequency band energy ratio, etc. are adjusted according to the sensor distance to obtain the target sound signal.
[0080] In this embodiment, an initial sound signal is collected by a preset sensor on the roller to be monitored, and the initial sound signal is preprocessed to obtain a processed sound signal. Then, it is determined whether there are other preset rollers within the preset range of the roller to be monitored. If so, a preset sound signal collected by a first sensor on the preset roller is obtained, and then a target sound signal corresponding to the roller to be monitored is extracted from the processed sound signal according to the preset sound signal. When there are other preset rollers within the preset range of the roller to be monitored in this embodiment, the target sound signal corresponding to the roller to be monitored is extracted from the processed sound signal according to the preset sound signal collected by the first sensor on the preset roller, so that the target sound signal corresponding to the roller to be monitored can be accurately and effectively extracted from the processed sound signal when there are other preset rollers.
[0081] Reference Figure 3 , Figure 3 is a schematic flowchart of the third embodiment of the roller state monitoring method of this application.
[0082] Based on the above embodiments, in this embodiment, after the step S30, the method further includes:
[0083] Step S40: If the roller to be monitored is in a faulty state, variational mode decomposition processing is performed on each of the target sound signals to obtain modal components corresponding to each of the target sound signals.
[0084] It can be understood that if there are multiple preset sensors, there are also multiple target sound signals collected by the preset sensors. When the roller to be monitored is in a faulty state, the fault type and fault location corresponding to the roller to be monitored can be determined. First, variational mode decomposition processing can be performed on each target sound signal to obtain modal components corresponding to each target sound signal, and each modal component is a narrowband signal with a specific center frequency.
[0085] Step S50: Determine the envelope spectrum corresponding to each of the target sound signals according to each of the modal components.
[0086] It should be understood that Hilbert transform can be performed on each modal component to obtain an analytic signal, then its instantaneous amplitude is calculated as the envelope signal, and then the envelope signal is subjected to fast Fourier transform and converted to the frequency domain to obtain the envelope spectrum.
[0087] Step S60: Determine the fault type and target fault location corresponding to the roller to be monitored according to the envelope spectrum.
[0088] Further, in order to obtain the corresponding fault type and target fault location of the roller to be monitored accurately, in this embodiment, the step S60 includes: calculating a kurtosis value set corresponding to the envelope spectrum, and determining the fault type corresponding to the roller to be monitored according to the kurtosis value set; determining the maximum kurtosis value corresponding to each of the target sound signals according to the kurtosis value set, and determining the initial fault location corresponding to the roller to be monitored according to the maximum kurtosis value; determining the acquisition time corresponding to the maximum kurtosis value, and adjusting the initial fault location according to the acquisition time to obtain the target fault location.
[0089] It can be understood that for each modal component, the corresponding kurtosis value can be calculated, that is, calculating the kurtosis value set corresponding to the envelope spectrum, and then determining the fault type corresponding to the roller to be monitored according to the kurtosis value set. For example, surface defects of the bearing will cause periodic impacts in the vibration signal, and the bearing fault can be effectively identified by calculating the kurtosis value of the envelope spectrum; gear faults will also produce modulation phenomena of specific frequency components in the vibration signal, and gear faults can be found by using envelope spectrum analysis.
[0090] It should be understood that the maximum kurtosis value in the kurtosis value set can be determined, and the maximum value among the maximum kurtosis values corresponding to each target sound signal can be determined, and the sensor that collects this maximum value is taken as the sensor closest to the fault sound source, and the position of this sensor is taken as the initial fault location. And determine the acquisition time corresponding to the maximum kurtosis value, and then adjust the initial fault location according to the acquisition time combined with the sound propagation speed. Specifically, the sound propagation distance can be calculated according to the acquisition time and the sound propagation speed, and then the initial fault location is adjusted according to this sound propagation distance to obtain the target fault location.
[0091] In this embodiment, when the roller to be monitored is in a fault state, variational mode decomposition processing is performed on each target sound signal to obtain the modal components corresponding to each target sound signal, and then the envelope spectrum corresponding to each target sound signal is determined according to each modal component, and then the fault type and target fault location corresponding to the roller to be monitored are determined according to the envelope spectrum. In this embodiment, the envelope spectrum corresponding to each target sound signal is determined according to each modal component, and then the fault type and target fault location corresponding to the roller to be monitored are accurately and effectively obtained according to the envelope spectrum.
[0092] Refer to Figure 4 , Figure 4 which is the structural block diagram of the first embodiment of the roller state monitoring device of the present application.
[0093] As Figure 4 shown, the roller state monitoring device proposed in the embodiment of the present application includes:
[0094] The signal extraction module 10 is configured to collect an initial sound signal through a preset sensor on the idler to be monitored, and extract a target sound signal corresponding to the idler to be monitored from the initial sound signal;
[0095] The feature extraction module 20 is configured to perform feature extraction on the target sound signal to obtain target sound features;
[0096] The status monitoring module 30 is configured to perform status monitoring on the idler to be monitored according to the target sound features and the normal sound features corresponding to the idler to be monitored.
[0097] In this embodiment, an initial sound signal is collected through a preset sensor on the idler to be monitored, and a target sound signal corresponding to the idler to be monitored is extracted from the initial sound signal. Then, feature extraction is performed on the target sound signal to obtain target sound features. Furthermore, status monitoring is performed on the idler to be monitored according to the target sound features and the normal sound features corresponding to the idler to be monitored. In this embodiment, the target sound signal is first extracted from the initial sound signal, which can effectively extract the target sound signal corresponding to the idler to be monitored from the initial sound signal collected by the preset sensor. Then, by comparing the target sound features corresponding to the target sound signal with the normal sound features, the status of the idler can be monitored in a timely and effective manner according to the comparison result to detect whether the idler fails.
[0098] It should be noted that the above-described work process is merely illustrative and does not limit the protection scope of the present application. In actual applications, those skilled in the art can select some or all of them according to actual needs to achieve the purpose of the solution of this embodiment, and no limitation is imposed here.
[0099] In addition, for technical details not elaborated in this embodiment, reference can be made to the idler status monitoring method provided in any embodiment of the present application, which will not be repeated here.
[0100] Based on the first embodiment of the idler status monitoring device of the present application, a second embodiment of the idler status monitoring device of the present application is proposed.
[0101] In this embodiment, the signal extraction module 10 is further configured to collect an initial sound signal through a preset sensor on the idler to be monitored, and perform preprocessing on the initial sound signal to obtain a processed sound signal; determine whether there are other preset idlers within a preset range of the idler to be monitored; if so, obtain a preset sound signal collected by a first sensor on the preset idler; and extract a target sound signal corresponding to the idler to be monitored from the processed sound signal according to the preset sound signal.
[0102] Further, the signal extraction module 10 is further configured to determine the sensor distance between the first sensor and the preset sensor; determine the ambient information around the to-be-monitored idler; adjust the preset sound signal according to the sensor distance and the ambient information to obtain an adjusted sound signal; and extract the target sound signal corresponding to the to-be-monitored idler from the processed sound signal according to the adjusted sound signal.
[0103] Further, the state monitoring module 30 is further configured to extract a target time-domain feature and a target frequency-domain feature from the target sound feature, and extract a normal time-domain feature and a normal frequency-domain feature from the normal sound feature corresponding to the to-be-monitored idler; compare the target time-domain feature with the normal time-domain feature to obtain a time-domain comparison result; compare the target frequency-domain feature with the normal frequency-domain feature to obtain a frequency-domain comparison result; and perform state monitoring on the to-be-monitored idler according to the time-domain comparison result and the frequency-domain comparison result.
[0104] Further, the target sound signal includes a plurality of sound signals collected by a plurality of preset sensors; the state monitoring module 30 is further configured to, if the to-be-monitored idler is in a fault state, perform variational mode decomposition processing on each of the target sound signals to obtain modal components corresponding to each of the target sound signals; determine an envelope spectrum corresponding to each of the target sound signals according to the modal components; and determine a fault type and a target fault position corresponding to the to-be-monitored idler according to the envelope spectrum.
[0105] Further, the state monitoring module 30 is further configured to calculate a kurtosis value set corresponding to the envelope spectrum, and determine the fault type corresponding to the to-be-monitored idler according to the kurtosis value set; determine a maximum kurtosis value corresponding to each of the target sound signals according to the kurtosis value set, and determine an initial fault position corresponding to the to-be-monitored idler according to the maximum kurtosis value; determine the acquisition moment corresponding to the maximum kurtosis value, and adjust the initial fault position according to the acquisition moment to obtain a target fault position.
[0106] Other embodiments or specific implementation manners of the idler state monitoring device of the present application may refer to the above method embodiments, and details are not described herein again.
[0107] The present application provides an idler state monitoring device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the idler state monitoring method in the first embodiment above.
[0108] Next, refer to Figure 5, which shows a schematic structural diagram of a idler state monitoring device suitable for implementing the embodiments of the present application. The idler state monitoring device in the embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The shown idler state monitoring device is merely an example and should not impose any limitations on the functions and usage scope of the embodiments of the present application.
[0109] As Figure 5 shown, the idler state monitoring device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 into the random access memory (RAM: Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the idler state monitoring device are also stored. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. The input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems may be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the idler state monitoring device to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows an idler state monitoring device with various systems, it should be understood that it is not required to implement or have all the shown systems. More or fewer systems may be implemented or had alternatively.
[0110] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by a processing device 1001, the above-mentioned functions defined in the methods of the embodiments disclosed in the present application are executed.
[0111] The idler state monitoring device provided by the present application adopts the idler state monitoring method in the above embodiment, and can solve the technical problem of how to monitor the idler state in a timely and effective manner. Compared with the prior art, the beneficial effects of the idler state monitoring device provided by the present application are the same as those of the idler state monitoring method provided by the above embodiment, and other technical features in the idler state monitoring device are the same as the features disclosed in the method of the previous embodiment, and will not be elaborated here.
[0112] It should be understood that each part disclosed in the present application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in a suitable manner in any one or more embodiments or examples.
[0113] As mentioned above, the above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present application, and all of them should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.
[0114] The present application provides a computer-readable storage medium with computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the idler state monitoring method in the above embodiment.
[0115] The computer-readable storage medium provided by the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or components, or any combination of the above. More specific examples of the computer-readable storage medium may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) or flash memory, optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, device, or component. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.
[0116] The above computer-readable storage medium may be included in the idler status monitoring device; or it may exist separately without being assembled into the idler status monitoring device.
[0117] The above computer-readable storage medium carries one or more programs. When the one or more programs are executed by the idler status monitoring device, the idler status monitoring device is caused to: collect an initial sound signal through a preset sensor on the idler to be monitored, and extract a target sound signal corresponding to the idler to be monitored from the initial sound signal; perform feature extraction on the target sound signal to obtain target sound features; and perform status monitoring on the idler to be monitored according to the target sound features and the normal sound features corresponding to the idler to be monitored.
[0118] Computer program code for performing the operations of this application can be written in one or more programming languages or combinations thereof. The above-mentioned programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (for example, by connecting through the Internet using an Internet service provider).
[0119] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in the flowchart or block diagram can represent a module, a program segment, or a part of the code, and this module, program segment, or part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutively represented blocks can actually be executed substantially in parallel, and they can sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.
[0120] The modules described in the embodiments of this application can be implemented in software or in hardware. Among them, the name of the module does not constitute a limitation to the unit itself in some cases.
[0121] The readable storage medium provided by this application is a computer-readable storage medium. The computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for performing the above-mentioned idler state monitoring method, and can solve the technical problem of how to monitor the idler state in a timely and effective manner. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by this application are the same as those of the idler state monitoring method provided in the above embodiments, and will not be elaborated here.
[0122] The present application also provides a computer program product, including a computer program which, when executed by a processor, implements the steps of the idler status monitoring method as described above.
[0123] The computer program product provided by the present application can solve the technical problem of how to monitor the idler status in a timely and effective manner. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as those of the idler status monitoring method provided in the above embodiments, and will not be elaborated herein.
[0124] The above are only partial embodiments of the present application, and thus do not limit the patent scope of the present application. Any equivalent structural transformation made under the technical concept of the present application by using the content of the specification and drawings of the present application, or any direct / indirect application in other related technical fields, is included in the patent protection scope of the present application.
Claims
1. A method for monitoring the state of a roller, characterized in that, The method for monitoring the state of the idler roller includes the following steps: Collect an initial sound signal through a preset sensor on the idler roller to be monitored, and extract the target sound signal corresponding to the idler roller to be monitored from the initial sound signal; Extract features from the target sound signal to obtain target sound features; Monitor the state of the idler roller to be monitored according to the target sound features and the normal sound features corresponding to the idler roller to be monitored.
2. The idler status monitoring method according to claim 1, wherein, The step of collecting an initial sound signal through a preset sensor on the idler roller to be monitored and extracting the target sound signal corresponding to the idler roller to be monitored from the initial sound signal specifically includes: Collect an initial sound signal through a preset sensor on the idler roller to be monitored, and preprocess the initial sound signal to obtain a processed sound signal; Judge whether there are other preset idler rollers within the preset range of the idler roller to be monitored; If so, obtain the preset sound signal collected by the first sensor on the preset idler roller; Extract the target sound signal corresponding to the idler roller to be monitored from the processed sound signal according to the preset sound signal.
3. The idler status monitoring method according to claim 2, wherein, The step of extracting the target sound signal corresponding to the idler roller to be monitored from the processed sound signal according to the preset sound signal specifically includes: Determine the sensor distance between the first sensor and the preset sensor; Determine the surrounding environment information of the idler roller to be monitored; Adjust the preset sound signal according to the sensor distance and the surrounding environment information to obtain an adjusted sound signal; Extract the target sound signal corresponding to the idler roller to be monitored from the processed sound signal according to the adjusted sound signal.
4. The idler state monitoring method according to claim 1, characterized in that, The step of monitoring the state of the idler roller to be monitored according to the target sound features and the normal sound features corresponding to the idler roller to be monitored specifically includes: Extract the target time domain features and target frequency domain features from the target sound features, and extract the normal time domain features and normal frequency domain features from the normal sound features corresponding to the idler roller to be monitored; Compare the target time domain features and the normal time domain features to obtain a time domain comparison result; Compare the target frequency domain features and the normal frequency domain features to obtain a frequency domain comparison result; Monitor the state of the idler roller to be monitored according to the time domain comparison result and the frequency domain comparison result.
5. The idler state monitoring method according to any one of claims 1 to 4, characterized in that, The target sound signal includes multiple sound signals collected by multiple preset sensors; After the step of monitoring the state of the idler roller to be monitored according to the target sound features and the normal sound features corresponding to the idler roller to be monitored, it further includes: If the idler roller to be monitored is in a fault state, perform variational mode decomposition processing on each of the target sound signals to obtain the modal components corresponding to each of the target sound signals; Determine the envelope spectrum corresponding to each of the target sound signals according to each of the modal components; Determine the fault type and the target fault position corresponding to the idler roller to be monitored according to the envelope spectrum.
6. The idler state monitoring method according to claim 5, characterized in that, The step of determining the fault type and the target fault position corresponding to the idler roller to be monitored according to the envelope spectrum specifically includes: Calculate the kurtosis value set corresponding to the envelope spectrum, and determine the fault type corresponding to the to-be-monitored idler according to the kurtosis value set; Determine the maximum kurtosis value corresponding to each of the target sound signals according to the kurtosis value set, and determine the initial fault position corresponding to the to-be-monitored idler according to the maximum kurtosis value; Determine the acquisition moment corresponding to the maximum kurtosis value, and adjust the initial fault position according to the acquisition moment to obtain the target fault position.
7. A idler state monitoring device, characterized in that, The idler state monitoring device includes: A signal extraction module, configured to collect an initial sound signal through a preset sensor on the to-be-monitored idler, and extract the target sound signal corresponding to the to-be-monitored idler from the initial sound signal; A feature extraction module, configured to perform feature extraction on the target sound signal to obtain target sound features; A state monitoring module, configured to perform state monitoring on the to-be-monitored idler according to the target sound features and the normal sound features corresponding to the to-be-monitored idler.
8. A idler state monitoring device, characterized in that, The device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the computer program is configured to implement the steps of the idler state monitoring method according to any one of claims 1 to 6.
9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the idler state monitoring method according to any one of claims 1 to 6 are implemented.
10. A computer program product, characterized in that, The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of the idler state monitoring method according to any one of claims 1 to 6 are implemented.