CN114751150A - Method, device and system for detecting faults of adhesive tape machine and storage medium - Google Patents
Method, device and system for detecting faults of adhesive tape machine and storage medium Download PDFInfo
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- 239000002390 adhesive tape Substances 0.000 title claims abstract description 56
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G43/00—Control devices, e.g. for safety, warning or fault-correcting
- B65G43/02—Control devices, e.g. for safety, warning or fault-correcting detecting dangerous physical condition of load carriers, e.g. for interrupting the drive in the event of overheating
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G15/00—Conveyors having endless load-conveying surfaces, i.e. belts and like continuous members, to which tractive effort is transmitted by means other than endless driving elements of similar configuration
- B65G15/30—Belts or like endless load-carriers
- B65G15/32—Belts or like endless load-carriers made of rubber or plastics
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G15/00—Conveyors having endless load-conveying surfaces, i.e. belts and like continuous members, to which tractive effort is transmitted by means other than endless driving elements of similar configuration
- B65G15/60—Arrangements for supporting or guiding belts, e.g. by fluid jets
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
- B65G2203/02—Control or detection
- B65G2203/0266—Control or detection relating to the load carrier(s)
- B65G2203/0275—Damage on the load carrier
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
- B65G2203/00—Indexing code relating to control or detection of the articles or the load carriers during conveying
- B65G2203/04—Detection means
- B65G2203/042—Sensors
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Abstract
The application discloses a method, a device and a system for detecting faults of an adhesive tape machine and a storage medium, which are used for detecting faults of the adhesive tape machine. The method comprises the following steps: in the operation process of the adhesive tape machine, acquiring operation data of a carrier roller through a sensor integrated in the carrier roller in the adhesive tape machine; judging whether the operation data of the carrier roller is normal or not; and when the running data of the carrier roller is abnormal, determining that the belt conveyor breaks down. By adopting the scheme provided by the application, whether the adhesive tape machine breaks down or not is determined by monitoring the operation data of the collecting carrier roller in real time, so that the real-time monitoring of the adhesive tape machine is realized, and the working intensity of maintainers is reduced.
Description
Technical Field
The application relates to the technical field of mechanical fault detection, in particular to a method, a device and a system for detecting faults of an adhesive tape machine and a storage medium.
Background
In the ore mining industry, the belt conveyor has become one of the important devices in the whole production link, and mainly comprises a driving device, a frame, a carrier roller, a conveying belt, a roller, a tensioning device and the like. In the operation process of the belt conveyor, a driving device drives a conveying belt carrying ores to rotate, supporting rollers for bearing are arranged below the conveying belt at intervals, usually, 3 supporting rollers are arranged at each 1.5 m of a carrying section, and 2 supporting rollers are arranged at each 3 m of an idle section, so that a large number of supporting rollers are required to be arranged on one long-distance belt conveyor (3000 m-6000 m).
Because the belt conveyor is often in a long-time high-load working state and is influenced by various loads and resistances, the belt conveyor is particularly easy to break down, common carrier roller faults are poor operation (blocking, eccentricity and damage), if the conveyor belt and the carrier roller are not overhauled timely, sliding friction is generated between the conveyor belt and the carrier roller, high temperature or spark is generated, the friction, the fire, the tearing and the like of the belt are easily caused, the working efficiency is influenced if the faults occur, and equipment can be damaged even shut down and stopped for a long time if the faults occur, and the equipment can be damaged if the faults occur.
At present, the monitoring means of the adhesive tape machine is manual detection, and a maintainer is required to walk from a machine head to a machine tail. Therefore, how to determine whether the belt conveyor fails through the real-time monitoring of the carrier roller becomes a technical problem to be solved urgently.
Disclosure of Invention
The application provides a fault detection method, a device and a system of an adhesive tape machine and a storage medium, which are used for realizing the detection of faults of the adhesive tape machine through the real-time monitoring of a carrier roller.
The application provides a fault detection method for an adhesive tape machine, which comprises the following steps:
in the operation process of the adhesive tape machine, acquiring operation data of a carrier roller through a sensor integrated in the carrier roller in the adhesive tape machine;
Judging whether the operation data of the carrier roller is normal or not;
and when the operation data of the carrier roller is abnormal, determining that the belt conveyor breaks down.
The beneficial effect of this application lies in: whether the adhesive tape machine breaks down or not is determined by monitoring the operation data of the carrier roller in real time, so that the real-time monitoring of the adhesive tape machine is realized, and the working intensity of maintainers is reduced. Simultaneously, this application can monitor bearing roller abnormal data through monitoring bearing roller operation data before the bearing roller breaks down, and then discerns the trouble in advance, improves the security of production.
In one embodiment, the acquiring operation data of the carrier roller by the sensor integrated in the carrier roller in the adhesive tape machine comprises:
acquiring vibration data of a carrier roller through a sensor integrated in the carrier roller in the adhesive tape machine;
and/or
The temperature data of the carrier roller is acquired through a sensor integrated in the carrier roller in the adhesive tape machine.
In one embodiment, the determining whether the operation data of the idler is normal includes:
judging whether the acquired vibration data of the carrier roller is in a first interval or not and judging whether the acquired temperature data of the carrier roller is in a second interval or not;
when the acquired vibration data of the carrier roller is not in the first interval and/or the acquired temperature data of the carrier roller is not in the second interval, determining that the operation data of the carrier roller is abnormal.
The beneficial effect of this embodiment lies in: through judging whether the operation data is in the normal interval, and then judge whether the bearing roller operation is normal, realized the real-time supervision to the operation data of bearing roller, reduced maintainer's work load.
In one embodiment, the method further comprises:
and when the acquired vibration data of the carrier roller is in a first interval and the acquired temperature data of the carrier roller is in a second interval, determining that the operation data of the carrier roller is normal.
In one embodiment, the judging whether the operation data of the carrier roller is normal includes:
generating a vibration state trend graph according to the collected vibration data;
and analyzing the vibration state trend graph to judge whether the operation data of the carrier roller is normal.
The beneficial effect of this embodiment lies in: vibration data through monitoring operation data generate vibration state trend, discern the condition that vibration amplitude and vibration frequency are not conform to normal operating stage, and then realize bearing roller operation data automatic monitoring, whether the running state of real-time supervision bearing roller is normal, reduce staff's work load.
In one embodiment, the method further comprises:
Generating a vibration time domain waveform according to vibration data in the operation data of the carrier roller;
and sending the vibration time domain waveform to a display device so as to enable the display device to display the vibration time domain waveform.
In one embodiment, the method further comprises:
when the operation data of the carrier roller is abnormal, determining the position of a fault according to the operation data of the carrier roller;
and sending the position of the fault to a display device and sending an alarm prompt.
This application still provides a sealing-tape machine fault detection device, includes:
the acquisition module is used for acquiring the operation data of the carrier roller through a sensor integrated in the carrier roller in the adhesive tape machine in the operation process of the adhesive tape machine;
the judging module is used for judging whether the operation data of the carrier roller is normal or not;
and the determining module is used for determining that the belt conveyor breaks down when the running data of the carrier roller is abnormal.
The application still provides a sealing-tape machine fault detection system, includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the method for detecting a fault of a tape machine as described in any one of the above embodiments.
The present application further provides a computer-readable storage medium, wherein when instructions in the storage medium are executed by a processor corresponding to a tape machine fault detection system, the tape machine fault detection system is enabled to implement the method for detecting a tape machine fault described in any one of the above embodiments.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the application. The objectives and other advantages of the application may be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present application is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flowchart of a method for detecting a failure of an adhesive tape machine according to an embodiment of the present application;
fig. 2 is a block diagram of a device for detecting a failure of an adhesive tape machine according to an embodiment of the present application;
fig. 3 is a schematic diagram of a hardware structure of a system for detecting a failure of an adhesive tape machine according to an embodiment of the present application.
Detailed Description
The preferred embodiments of the present application will be described in conjunction with the accompanying drawings, and it should be understood that they are presented herein only to illustrate and explain the present application and not to limit the present application.
Fig. 1 is a flowchart of a method for detecting a failure of an adhesive tape machine according to an embodiment of the present application, where the method may be used to detect a failure of an adhesive tape machine through real-time monitoring of a carrier roller, as shown in fig. 1, the method may be implemented as the following steps S101 to S103:
in the step S101, in the running process of the adhesive tape machine, running data of a carrier roller is collected through a sensor integrated in the carrier roller in the adhesive tape machine;
in step S102, whether the operation data of the carrier roller is normal is determined;
in step S103, when the operation data of the idler is abnormal, it is determined that the belt conveyor fails.
In the operation process of the adhesive tape machine, the operation data of the carrier roller is collected through a sensor integrated in the carrier roller in the adhesive tape machine. This application is through integrated sensor in the bearing roller, at the sealing-tape machine operation in-process, gathers the operational data of bearing roller in real time. In one embodiment of the present application, the integrated sensor is a temperature vibration sensor, and collects vibration data including a carrier roller and/or temperature data of the carrier roller, wherein the temperature is collected through PT100 platinum resistor; the vibration quantity is acquired by the piezoelectric sensor, and the anti-interference capacity is strong. It will be appreciated that the integrated sensor may also include a sound sensor for picking up the sound of the idler. In the embodiment of the application, after the raw data of the carrier roller is collected, in order to ensure the accuracy of the data, information fusion is also performed on the collected various raw data. Information fusion is an information processing method developed by using a plurality of sensors in a system, and the system utilizes the redundancy and complementarity of each sensor in time and space to expand the time, space and frequency coverage of the system; the fusion of the multi-source information of the same kind can improve the working performance index of the system, the fusion of the multi-source information of different kinds can obtain the multi-side attribute information of the target, the reliability of the conclusion can be improved, and the fault-tolerant capability of the system can be improved. In this embodiment, the method includes data processing processes such as data preprocessing and data standardization, and also includes mutual verification and correction of data from different sources, specifically, since vibration and sound are generated simultaneously in the vibration process of the carrier roller, a certain correlation exists between the vibration data and the sound data, and the preprocessed vibration data and the sound data are compared and fused by combining historical data, for example, data missing from the vibration data is supplemented by the sound data and the relationship between the vibration data and the sound data. And after the information fusion is completed, the operation data of the carrier roller is obtained.
And judging whether the operation data of the carrier roller is normal or not. After the operation data of the carrier roller is collected, the operation data of the carrier roller needs to be analyzed, and whether the operation data is normal or not is judged. For this determination process, the following ways are included, but not limited to:
in one mode
Because the vibration frequency and amplitude of the carrier roller are required to be kept to be changed within a certain range in the normal running state of the carrier roller, the vibration data of the carrier roller is changed when the carrier roller is in poor running, for example, when the carrier roller is jammed, the vibration frequency of the carrier roller is obviously reduced but the vibration amplitude of the carrier roller is increased, and therefore, the running condition of the carrier roller can be monitored according to the change of the vibration data of the carrier roller. Similarly, in a normal working state of the carrier roller, the friction force between the carrier roller and the transmission belt is kept balanced, so that the temperature of the carrier roller is kept within a certain range, but when the carrier roller fails, the temperature of the carrier roller is increased due to the increase of the friction force, for example, when the carrier roller is jammed and sliding friction is generated between the transmission belt and the carrier roller, high temperature or sparks are generated, so that the temperature of the carrier roller is increased, and therefore, the running condition of the carrier roller can be monitored according to the change of the temperature data of the carrier roller.
Specifically, in the embodiment of the application, whether the acquired vibration data of the carrier roller is in a first interval or not is judged, and whether the acquired temperature data of the carrier roller is in a second interval or not is judged, wherein the first interval and the second interval respectively refer to a variation amplitude interval corresponding to the vibration data and the temperature data of the carrier roller in a normal operation state, and the first interval and the second interval can be obtained through analysis of data acquired through experiments or historical operation data of the adhesive tape machine, or can be obtained through experience of an expert. It can be understood that the first interval and the second interval can be distinguished according to the operation stage and the transportation state of the belt conveyor, for example, the operation data of the lower carrier roller at the start stage, the operation stage and the stop stage are different, and the operation data of the belt conveyor under the full load condition and the no load condition are also different, but both of the operation data and the operation data belong to the variation range under the normal operation state. And when the acquired vibration data of the carrier roller is in a first interval and the acquired temperature data of the carrier roller is in a second interval, determining that the operation data of the carrier roller is normal. When the acquired vibration data of the carrier roller is not in the first interval and/or the acquired temperature data of the carrier roller is not in the second interval, determining that the operation data of the carrier roller is abnormal.
Mode two
And generating a vibration state trend graph according to the collected vibration data. Since the vibration conditions of the belt conveyor at different operation stages are different, in this embodiment, a vibration state trend graph is generated by collecting the collected vibration data once every preset time interval, for example, in units of 2 seconds, a vibration state trend graph is generated for the data collected every 2 seconds, where the trend graph includes a vibration amplitude trend graph and a vibration frequency trend graph.
And analyzing the vibration state trend graph to judge whether the operation data of the carrier roller is normal. For example, in the starting stage of the belt conveyor, the vibration amplitude and frequency should be gradually increased and kept relatively stable after being increased to the operation data interval in the normal operation stage, but if the vibration amplitude is increased and the vibration frequency is reduced in the starting stage according to the trend chart, the vibration data of the carrier roller is abnormal; or the vibration amplitude is continuously increased and exceeds the corresponding operation data interval, the vibration data of the carrier roller is abnormal.
It can be understood that, in addition to the above two modes, a diagnostic function can be generated according to the relationship between the acquired carrier roller operation data; specifically, the operation data includes vibration amplitude, vibration frequency, temperature value, sound frequency, sound amplitude, and the like, and the diagnostic function includes a correspondence between the operation data and a trend prediction of the operation data. Judging whether the running data of the carrier roller is normal or not according to the diagnosis function; specifically, according to the corresponding relation between the operation data, abnormal data in the operation data can be detected, for example, the relation between the temperature and the vibration amplitude, and when the collected operation data does not conform to the corresponding relation, the operation data of the carrier roller is considered to be abnormal; further, in the embodiment, the operation data of the carrier roller is predicted according to the diagnosis function, and when the carrier roller operation data is abnormal within the predicted future preset time range, the carrier roller operation data is also considered to be abnormal, so that the fault carrier roller is checked in advance.
In the embodiment, the operation data of the carrier roller is monitored in real time, and a vibration time domain waveform is generated according to vibration data in the operation data of the carrier roller; and sending the vibration time domain waveform to a display device so as to enable the display device to display the vibration time domain waveform. The time domain waveform of the carrier roller vibration data is displayed on the display device, so that an operator can conveniently find abnormal values of the operation data in time, such as a maximum value and a minimum value which suddenly appear in the operation process.
And when the operation data of the carrier roller is abnormal, determining that the belt conveyor breaks down.
The method can be applied to a belt conveyor fault detection system, and particularly can be applied to a belt conveyor fault detection device. Fig. 2 is a block diagram of a device for detecting a failure of an adhesive tape machine in an embodiment of the present application, and as shown in fig. 2, the device includes an acquisition module, a determination module, and specifically, in this embodiment, the acquisition module includes a sensor integrated in a carrier roller, and is configured to acquire operation data of the carrier roller in real time during an operation process of the adhesive tape machine, and send the acquired data of vibration, temperature, and the like to a ground upper computer database for storage.
And the judging module is used for judging whether the running data of the carrier roller is normal or not.
The upper computer deploys monitoring and diagnosing platform software, displays data acquired by each sensor in real time, acquires vibration signals of equipment in real time, and analyzes and processes acquired vibration information in real time to obtain operation data such as a vibration state trend graph, a vibration time domain waveform, vibration characteristic parameter values, bearing operation states and the like, and analyzes the acquired operation data in a software system, and can monitor the operation state of the equipment, prejudge the fault position and fault type of the equipment, prejudge the service life of parts of the equipment and the like by fault frequency calculation, fault characteristic extraction, intelligent judgment of fault positions and fault severity, intelligent analysis and common fault diagnosis.
And the determining module is used for determining that the adhesive tape machine breaks down when the operation data of the carrier roller is abnormal. The sensor is integrated in the carrier roller, so that when the operation data of the carrier roller is abnormal, the position of a fault is determined according to the operation data of the carrier roller; the method comprises the steps of analyzing collected operation data in a software system, determining the fault position, and determining the fault type through fault frequency calculation, fault feature extraction and the like.
And sending the position of the fault to a display device, and sending an alarm prompt. The software realizes the functions of trend analysis, report inquiry, report generation, diagnosis display and the like through database information, and simultaneously, the diagnosis analysis result and related alarm information are shared to a tape machine management platform and display devices of other monitoring and controlling systems; and sharing the data to an authorized mobile terminal account through the APP of the mobile phone terminal, wherein the access content comprises all monitored information. Specifically, the following functions can be realized by the system:
(1) early warning and forecasting function
The demonstration that can be dynamic detects the condition, and the staff can master electromechanical device running state at any time, when taking place transfinite, equipment trouble, the system can in time give the warning, shows its warning fault type, alarm device state, equipment trouble degree, warning location, alarm time etc. at the alarm information window simultaneously to accessible selective assembly realizes audio alert, includes: early fault early warning, fault type characteristic warning, fault degree positioning, vibration peak-to-peak value warning, vibration intensity value warning, temperature real-time monitoring amount warning and the like.
(2) Query analysis and prediction functionality
Inquiring fault alarm records: fault record query can be carried out on the monitoring equipment in a time interval mode, and all alarm records of a time interval needing to be queried are listed in a table form, wherein the alarm records comprise alarm equipment, alarm parameters, alarm time, alarm types, alarm contents, operators on duty and the like;
And the trend analysis can be used for inquiring the historical data of the equipment according to time intervals and expressing the historical data by curves, such as a vibration magnitude curve and a temperature value curve.
Device lifecycle prediction: the life cycle of the equipment is predicted based on the nonlinear fatigue damage accumulation theory, multi-parameter similarity information fusion, an EMD gray model, a support vector machine, a hidden half-Markov model, a time sequence and other theoretical methods, and the life cycle and the health state of the equipment in use are mastered in real time by combining historical data. And estimating the residual life of the equipment parts.
(3) Expert database and intelligent diagnostics
In order to meet the analysis requirements of fault diagnosis professionals, the health condition of the carrier roller can be comprehensively analyzed and judged.
Time domain waveform analysis provides time domain indexes such as peak-to-peak value, intensity value, kurtosis index and the like for professionals;
the frequency spectrum analysis function is used for analyzing frequency components in the vibration signals by professional personnel so as to identify the fault characteristics of the equipment;
and the envelope spectrum analysis function is used for identifying bearing faults in the equipment vibration signal.
The multi-parameter comprehensive analysis and fault diagnosis function takes a vibration acceleration sensor as a main part and a temperature sensor as an auxiliary part to comprehensively diagnose the reasons, the degrees and the like of the faults.
(4) Data management and sharing
The system has a large-capacity data storage function, regularly records the running state of the equipment, can automatically analyze the trend so that a user can conveniently master the running state and the trend of the equipment at any time, and provides reliable basis for the work of equipment overhaul, maintenance and the like.
Timing storage, abnormal alarm and storage of vibration signals.
Management and maintenance of the database.
And fourthly, data communication and resource sharing of the system.
The system and the centralized control system leave a communication interface, and can share data to a dispatching room and office places.
(5) Mobile terminal monitoring display
The mobile phone side APP can share data to an authorized mobile terminal account, and information monitored by all systems can be inquired.
By the aid of the system, whether the operation of the belt conveyor is normal or not can be monitored in real time, whether the belt conveyor breaks down everywhere or not is judged, the fault position and the fault type are determined, on-line fault diagnosis is achieved through the management platform, and good human-computer interaction experience is created for carrier roller state evaluation.
The beneficial effect of this application lies in: whether the belt conveyor breaks down or not is determined by monitoring the operation data of the carrier roller in real time, so that the real-time monitoring of the belt conveyor is realized, and the working intensity of maintainers is reduced. Simultaneously, this application can monitor bearing roller abnormal data through monitoring bearing roller operation data before the bearing roller breaks down, and then discerns the trouble in advance, improves the security of production.
In one embodiment, the above step S101 may be implemented as the following steps a1 and/or a 2:
in step a1, acquiring vibration data of a carrier roller by a sensor integrated in the carrier roller in the adhesive tape machine;
in step a2, idler temperature data is collected by sensors integrated within idlers in an adhesive tape machine.
In this embodiment, the integrated sensor is a temperature vibration sensor. The operation data of the carrier roller collected by the sensor integrated in the carrier roller in the adhesive tape machine specifically comprises vibration data of the carrier roller collected by the sensor integrated in the carrier roller in the adhesive tape machine and/or temperature data of the carrier roller collected by the sensor integrated in the carrier roller in the adhesive tape machine. In this example, the temperature was collected through PT100 platinum resistor; the vibration quantity is acquired by the piezoelectric sensor, and the anti-interference capacity is strong. It will be appreciated that the integrated sensor may also include a sound sensor for picking up the sound of the idler.
In this embodiment, after the raw data of the carrier roller is acquired, in order to ensure the accuracy of the data, information fusion is also performed on the acquired multiple kinds of raw data. Information fusion is an information processing method developed by using a plurality of sensors in a system, and the system utilizes the redundancy and complementarity of each sensor in time and space to expand the time, space and frequency coverage of the system; the fusion of the multi-source information of the same kind can improve the working performance index of the system, the fusion of the multi-source information of different kinds can obtain the multi-side attribute information of the target, the reliability of the conclusion can be improved, and the fault-tolerant capability of the system can be improved. In this embodiment, the method includes data processing processes such as data preprocessing and data standardization, and also includes mutual verification and correction of data from different sources, specifically, since vibration and sound are generated simultaneously in the vibration process of the carrier roller, a certain correlation exists between the vibration data and the sound data, and the preprocessed vibration data and the sound data are compared and fused by combining historical data, for example, data missing from the vibration data is supplemented by the sound data and the relationship between the vibration data and the sound data. And after the information fusion is completed, the operation data of the carrier roller is obtained.
In one embodiment, the above step S102 may be implemented as the following steps B1-B2:
in step B1, it is determined whether the acquired vibration data of the carrier roller is in a first zone, and it is determined whether the acquired temperature data of the carrier roller is in a second zone;
in step B2, when the acquired vibration data of the idler is not in the first interval and/or the acquired temperature data of the idler is not in the second interval, it is determined that the operational data of the idler is abnormal.
In this embodiment, whether the acquired vibration data of the carrier roller is in a first interval or not is judged, and whether the acquired temperature data of the carrier roller is in a second interval or not is judged, wherein the first interval and the second interval respectively refer to a variation range interval corresponding to the vibration data and the temperature data of the carrier roller in a normal operation state, and the first interval and the second interval can be obtained through analysis of data acquired through experiments or historical operation data of the adhesive tape machine, or can be obtained by experts according to experience. It can be understood that the first interval and the second interval may be distinguished according to the operation stage and the transportation state of the belt conveyor, for example, the operation data of the lower carrier roller may be different in the start stage, the operation stage and the stop stage, and the operation data of the belt conveyor may be different in the full load condition and the no load condition, but both of the operation data and the operation data belong to the variation range in the normal operation state. And when the collected vibration data of the carrier roller is not in the first interval and/or the collected temperature data of the carrier roller is not in the second interval, determining that the operation data of the carrier roller is abnormal.
The beneficial effect of this embodiment lies in: whether the operation data are in the normal interval or not is judged, and then whether the carrier roller operates normally or not is judged, so that the real-time monitoring of the operation data of the carrier roller is realized, and the workload of maintenance personnel is reduced.
In one embodiment, the method may also be implemented as the steps of:
and when the acquired vibration data of the carrier roller is in a first interval and the acquired temperature data of the carrier roller is in a second interval, determining that the operation data of the carrier roller is normal.
In one embodiment, the above step S102 may be implemented as the following steps C1-C2:
in step C1, generating a vibration state trend graph according to the collected vibration data;
in step C2, the vibration state trend graph is analyzed to determine whether the operation data of the idler is normal.
In the present embodiment, a vibration state trend graph is generated from the collected vibration data. Since the vibration conditions of the belt conveyor at different operation stages are different, in this embodiment, a vibration state trend graph is generated by collecting the collected vibration data once every preset time interval, for example, in units of 2 seconds, a vibration state trend graph is generated for the data collected every 2 seconds, where the trend graph includes a vibration amplitude trend graph and a vibration frequency trend graph.
And analyzing the vibration state trend graph to judge whether the operation data of the carrier roller is normal. For example, during the startup phase of the belt conveyor, the vibration amplitude and frequency should be gradually increased and kept relatively stable after increasing to the operation data interval of the normal operation phase, but if the vibration amplitude is increased but the vibration frequency is decreased during the startup phase according to the trend chart, the vibration data of the carrier roller is abnormal; or the vibration amplitude is continuously increased and exceeds the corresponding operation data interval, the vibration data of the carrier roller is abnormal.
It can be understood that a diagnostic function can also be generated according to the relationship between the acquired idler operation data; specifically, the operation data includes vibration amplitude, vibration frequency, temperature value, sound frequency, sound amplitude, and the like, and the diagnostic function includes a correspondence between the operation data and a trend prediction of the operation data. Judging whether the running data of the carrier roller is normal or not according to the diagnosis function; specifically, according to the corresponding relation between the operation data, abnormal data in the operation data can be detected, for example, the relation between the temperature and the vibration amplitude, and when the collected operation data does not conform to the corresponding relation, the operation data of the carrier roller is considered to be abnormal; further, in this embodiment, the operation data of the carrier roller is predicted according to the diagnostic function, and when the carrier roller operation data is abnormal within the predicted future preset time range, the carrier roller operation data is considered to be abnormal, so that the failed carrier roller is checked in advance.
The beneficial effect of this embodiment lies in: vibration data through monitoring operation data generate vibration state trend, discern the condition that vibration amplitude and vibration frequency are not conform to normal operating stage, and then realize bearing roller operation data automatic monitoring, whether the running state of real-time supervision bearing roller is normal, reduce staff's work load.
In one embodiment, the method further comprises the following steps D1-D2:
in step D1, generating a vibration time domain waveform according to vibration data in the operation data of the carrier roller;
in step D2, the vibration time domain waveform is sent to a display device, so that the display device displays the vibration time domain waveform.
In the embodiment, a vibration time domain waveform is generated according to vibration data in the operation data of the carrier roller; specifically, a time domain waveform is generated for vibration data of the carrier roller collected in real time, so that the continuous running state of the carrier roller can be monitored conveniently.
And sending the vibration time domain waveform to a display device so as to enable the display device to display the vibration time domain waveform. The time domain waveform of the carrier roller vibration data is displayed on the display device, so that an operator can conveniently find abnormal values of the operation data in time, such as a maximum value and a minimum value which suddenly appear in the operation process.
It can be understood that, in order to meet the analysis requirements of the fault diagnosis professional, the health condition of the carrier roller can be analyzed and judged through multiple data synthesis, for example, time domain indexes such as a peak value, a severity value and a kurtosis index are provided for the professional through time domain waveform analysis; the method is used for analyzing frequency components in the vibration signals by professionals through a frequency spectrum analysis function, so that equipment fault characteristics are identified; the method is used for identifying the bearing fault in the equipment vibration signal through an envelope spectrum analysis function.
The multi-parameter comprehensive analysis and fault diagnosis function can be used for comprehensively diagnosing the reasons, the degrees and the like of the faults by mainly using a vibration acceleration sensor and by using a temperature sensor as an auxiliary sensor.
In one embodiment, the method further comprises the following steps E1-E2:
in step E1, when the operation data of the idler is abnormal, determining the position of the fault according to the operation data of the idler;
in step E1, the location of the fault is sent to the display device, and an alarm is given.
In the embodiment, as the sensor is integrated in the carrier roller, when the operation data of the carrier roller is abnormal, the position of the fault is determined according to the operation data of the carrier roller; the method comprises the steps of analyzing collected operation data in a software system, determining the fault position, and determining the fault type through fault frequency calculation, fault feature extraction and the like.
And sending the position of the fault to a display device, and sending an alarm prompt. The software realizes the functions of trend analysis, report inquiry, report generation, diagnosis display and the like through database information, and simultaneously, the diagnosis analysis result and related alarm information are shared to a tape machine management platform and display devices of other monitoring systems; and sharing the data to an authorized mobile terminal account through the APP of the mobile phone terminal, wherein the access content comprises all monitored information.
Fig. 2 is a block diagram of a device for detecting a failure of an adhesive tape machine according to an embodiment of the present application, as shown in fig. 2, including:
the acquisition module 201 is used for acquiring the operation data of a carrier roller through a sensor integrated in the carrier roller in the adhesive tape machine in the operation process of the adhesive tape machine;
the judging module 202 is used for judging whether the operation data of the carrier roller is normal or not;
the determining module 203 is configured to determine that the adhesive tape machine fails when the operation data of the carrier roller is abnormal.
Fig. 3 is a schematic diagram of a hardware structure of a system for detecting a failure of an adhesive tape machine in an embodiment of the present application, as shown in fig. 3, including:
at least one processor 320; and the number of the first and second groups,
a memory 304 communicatively coupled to the at least one processor 320; wherein the content of the first and second substances,
The memory 304 stores instructions executable by the at least one processor 320, and the instructions are executed by the at least one processor 320 to implement the tape machine failure detection method described in any of the above embodiments.
Referring to fig. 3, the tape machine fault detection system 300 may include one or more of the following components: processing components 302, memory 304, power components 306, multimedia components 308, audio components 310, input/output (I/O) interfaces 312, sensor components 314, and communication components 316.
The processing component 302 generally controls the overall operation of the tape machine fault detection system 300. The processing component 302 may include one or more processors 320 to execute instructions to perform all or a portion of the steps of the methods described above. Further, processing component 302 may include one or more modules that facilitate interaction between processing component 302 and other components. For example, the processing component 302 may include a multimedia module to facilitate interaction between the multimedia component 308 and the processing component 302.
The power supply component 306 provides power to the various components of the tape machine fault detection system 300. Power components 306 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for in-vehicle control system 300.
The multimedia component 308 includes a screen that provides an output interface between the tape machine failure detection system 300 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 308 may also include a front facing camera and/or a rear facing camera. When the tape machine failure detection system 300 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 310 is configured to output and/or input audio signals. For example, audio assembly 310 includes a Microphone (MIC) configured to receive an external audio signal when tape machine fault detection system 300 is in an operational mode, such as an alarm mode, a recording mode, a voice recognition mode, and a voice output mode. The received audio signal may further be stored in the memory 304 or transmitted via the communication component 316. In some embodiments, audio component 310 also includes a speaker for outputting audio signals.
The I/O interface 312 provides an interface between the processing component 302 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The communication component 316 is configured to enable the tape machine failure detection system 300 to provide communication capabilities with other devices and cloud platforms in a wired or wireless manner. The tape machine failure detection system 300 may have access to a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 316 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 316 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the tape machine fault detection system 300 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors, or other electronic components for performing the tape machine fault detection methods described in any of the above embodiments.
The present application further provides a computer-readable storage medium, wherein when instructions in the storage medium are executed by a processor corresponding to a tape machine fault detection system, the tape machine fault detection system is enabled to implement the method for detecting a tape machine fault described in any one of the above embodiments.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.
Claims (10)
1. A failure detection method for an adhesive tape machine is characterized by comprising the following steps:
in the operation process of the adhesive tape machine, acquiring operation data of a carrier roller through a sensor integrated in the carrier roller in the adhesive tape machine;
judging whether the operation data of the carrier roller is normal or not;
and when the operation data of the carrier roller is abnormal, determining that the belt conveyor breaks down.
2. The method of claim 1, wherein collecting operational data of a carrier roller by a sensor integrated within a carrier roller in an adhesive tape machine comprises:
acquiring vibration data of a carrier roller through a sensor integrated in the carrier roller in the adhesive tape machine;
and/or
The temperature data of the carrier roller is acquired through a sensor integrated in the carrier roller in the adhesive tape machine.
3. The method of claim 2, wherein said determining whether the operational data of the idler is normal comprises:
judging whether the acquired vibration data of the carrier roller is in a first interval or not, and judging whether the acquired temperature data of the carrier roller is in a second interval or not;
when the acquired vibration data of the carrier roller is not in the first interval and/or the acquired temperature data of the carrier roller is not in the second interval, determining that the operation data of the carrier roller is abnormal.
4. The method of claim 3, further comprising:
and when the acquired vibration data of the carrier roller is in a first interval and the acquired temperature data of the carrier roller is in a second interval, determining that the operating data of the carrier roller is normal.
5. The method of claim 2, wherein said determining whether the operational data of the idler is normal comprises:
generating a vibration state trend graph according to the collected vibration data;
and analyzing the vibration state trend graph to judge whether the operation data of the carrier roller is normal.
6. The method of claim 1, wherein the method further comprises:
generating a vibration time domain waveform according to vibration data in the operation data of the carrier roller;
and sending the vibration time domain waveform to a display device so as to enable the display device to display the vibration time domain waveform.
7. The method of claim 1, wherein the method further comprises:
when the operation data of the carrier roller is abnormal, determining the position of a fault according to the operation data of the carrier roller;
and sending the position of the fault to a display device and sending an alarm prompt.
8. The utility model provides an adhesive tape machine fault detection device which characterized in that includes:
the acquisition module is used for acquiring the operation data of the carrier roller through a sensor integrated in the carrier roller in the adhesive tape machine in the operation process of the adhesive tape machine;
the judging module is used for judging whether the operation data of the carrier roller is normal or not;
and the determining module is used for determining that the belt conveyor breaks down when the running data of the carrier roller is abnormal.
9. The utility model provides an adhesive tape machine fault detection system which characterized in that includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to implement the tape machine fault detection method of any one of claims 1-7.
10. A computer-readable storage medium, wherein instructions in the storage medium, when executed by a processor corresponding to a tape machine failure detection system, enable the tape machine failure detection system to implement the tape machine failure detection method as recited in any one of claims 1-7.
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| CN202210336209.XA CN114751150A (en) | 2022-03-31 | 2022-03-31 | Method, device and system for detecting faults of adhesive tape machine and storage medium |
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| CN202210336209.XA CN114751150A (en) | 2022-03-31 | 2022-03-31 | Method, device and system for detecting faults of adhesive tape machine and storage medium |
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