CN112788221A - Auxiliary device and method for fault diagnosis of tobacco mechanical equipment - Google Patents
Auxiliary device and method for fault diagnosis of tobacco mechanical equipment Download PDFInfo
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- CN112788221A CN112788221A CN202110113120.2A CN202110113120A CN112788221A CN 112788221 A CN112788221 A CN 112788221A CN 202110113120 A CN202110113120 A CN 202110113120A CN 112788221 A CN112788221 A CN 112788221A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 97
- 241000208125 Nicotiana Species 0.000 title claims abstract description 53
- 235000002637 Nicotiana tabacum Nutrition 0.000 title claims abstract description 53
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000004891 communication Methods 0.000 claims abstract description 15
- 238000012423 maintenance Methods 0.000 claims abstract description 14
- 238000005286 illumination Methods 0.000 claims abstract description 8
- 238000010191 image analysis Methods 0.000 claims description 7
- 230000008054 signal transmission Effects 0.000 claims description 2
- 230000007257 malfunction Effects 0.000 claims 1
- 230000008569 process Effects 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 abstract description 3
- 238000004806 packaging method and process Methods 0.000 description 7
- 238000012545 processing Methods 0.000 description 6
- 235000019504 cigarettes Nutrition 0.000 description 4
- 238000010586 diagram Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013523 data management Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000001050 lubricating effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000005022 packaging material Substances 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/56—Cameras or camera modules comprising electronic image sensors; Control thereof provided with illuminating means
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/70—Circuitry for compensating brightness variation in the scene
- H04N23/74—Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means
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- Physics & Mathematics (AREA)
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Abstract
The invention provides a fault diagnosis auxiliary device and method for tobacco mechanical equipment. Wherein, tobacco machinery equipment failure diagnosis auxiliary device includes: the system comprises an industrial control module, a light source module, an image acquisition module and a diagnosis module which are respectively in communication connection with the industrial control module; the industrial control module is used for controlling the light source module to provide illumination for a target to be diagnosed of the tobacco mechanical equipment, controlling the image acquisition module to acquire an image of the target to be diagnosed and sending the image to the diagnosis module; the diagnosis module is used for displaying the image of the target to be diagnosed so as to assist in fault diagnosis. The invention is suitable for fault diagnosis of the tobacco machinery in the debugging and maintenance processes, diagnoses the fault of the tobacco machinery equipment by a machine vision technology, and can quickly assist debugging personnel and maintenance personnel to accurately analyze the fault.
Description
Technical Field
The invention relates to the technical field of tobacco machinery fault diagnosis, in particular to a fault diagnosis auxiliary device and method for tobacco machinery equipment.
Background
With the progress of science and technology, the tobacco machinery structure is increasingly complex, the automation degree is higher and higher, the operation speed is faster and faster, taking the packaging machine as an example, the packaging mode mainly comprises a horizontal packaging machine and a straight packaging machine, the packaged cigarette specification comprises fine cigarettes, medium cigarettes, short cigarettes and the like, the packaging equipment comprises a raw material supply system, a packaging material supply system, a main conveying system, a packaging forming system, a finished product output system, a lubricating system, a detection system and the like, and the packaging speed is developed from the initial 150 packs per minute to the current 1000 packs of 800 packs.
For the above reasons, when a device fails in a debugging or production process, the diagnosis and processing of the failure become very complicated work. Under the current situation, if the fault diagnosis and the maintenance are carried out only by means of direct observation and empirical judgment of technologies and maintainers, the fault diagnosis and the maintenance are often limited, so that not only can the time loss be caused, but also the secondary damage to equipment can be caused due to the judgment error, and the larger loss is caused.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, the present invention provides a failure diagnosis auxiliary device and method for tobacco machinery, which is used to solve the above shortcomings in the prior art.
In order to achieve the above objects and other related objects, the present invention provides a failure diagnosis assistance device for a tobacco machinery, comprising: the system comprises an industrial control module, a light source module, an image acquisition module and a diagnosis module which are respectively in communication connection with the industrial control module; the industrial control module is used for controlling the light source module to provide illumination for a target to be diagnosed of the tobacco mechanical equipment, controlling the image acquisition module to acquire an image of the target to be diagnosed and sending the image to the diagnosis module; the diagnosis module is used for displaying the image of the target to be diagnosed so as to assist in fault diagnosis.
In an embodiment of the present invention, the industrial control module includes a microprocessor, and an industrial control board, a light source control module, and a camera trigger module electrically connected to the microprocessor respectively; the industrial control board is in communication connection with the diagnosis module; the light source control module is in communication connection with the light source module; the camera trigger module is in communication connection with the image acquisition module; the microprocessor controls the light source module through the light source control module; the microprocessor controls the image acquisition module through the camera trigger module.
In an embodiment of the present invention, the industrial control module further includes: and the image communication interface module is respectively connected with the industrial control board and the image acquisition module and is used for transmitting the image of the target to be diagnosed, acquired by the image acquisition module, to the industrial control board.
In an embodiment of the present invention, the industrial control module further includes: and the signal interface module is respectively connected with the microprocessor and the tobacco mechanical equipment control system and is used for signal transmission between the industrial control module and the tobacco mechanical equipment control system.
In order to achieve the above objects and other related objects, the present invention provides a method for assisting in diagnosing a failure of a tobacco machine, which is applied to a failure diagnosing apparatus for a tobacco machine; the method comprises the following steps: the industrial control module controls the light source module to provide illumination for a target to be diagnosed of the tobacco mechanical equipment, controls the image acquisition module to acquire an image of the target to be diagnosed and sends the image to the diagnosis module; and the diagnosis module displays the image of the target to be diagnosed so as to assist in fault diagnosis.
In an embodiment of the present invention, the method further includes: and the diagnosis module carries out image analysis on the image of the target to be diagnosed and generates a fault diagnosis result.
In an embodiment of the present invention, the method further includes: and the diagnosis module stores historical fault information and corresponding maintenance information according to fault categories so as to generate a maintenance scheme of the fault diagnosis result after the fault diagnosis result is generated.
In an embodiment of the present invention, the method further includes: the diagnosis module acquires the working mode of the image acquisition module and controls the image acquisition module to acquire the image of the target to be diagnosed according to the working mode; when the image acquisition module acquires an image, the light source module is started.
In an embodiment of the present invention, the working modes include shooting and video recording; the image of the target to be diagnosed is a picture or a video.
In an embodiment of the present invention, the working modes include a self-triggering mode and an external triggering mode; the self-triggering mode is to collect images at preset time intervals, and the external triggering mode is to collect images when preset information of the control system of the tobacco mechanical equipment is received.
As described above, in the auxiliary device and method for diagnosing the failure of the tobacco mechanical equipment, the industrial control module controls the light source module to provide illumination for the target to be diagnosed of the tobacco mechanical equipment, and controls the image acquisition module to acquire the image of the target to be diagnosed and send the image to the diagnosis module; the diagnosis module displays the image of the target to be diagnosed to assist in fault diagnosis, and can quickly assist debugging personnel and maintenance personnel in accurately analyzing faults.
Drawings
Fig. 1 is a schematic structural diagram of a failure diagnosis auxiliary device for a tobacco machinery apparatus according to an embodiment of the present invention.
Fig. 2 is a schematic structural diagram of a failure diagnosis auxiliary device of tobacco machinery equipment in another embodiment of the invention.
Fig. 3 is a flow chart of an auxiliary method for diagnosing a failure of a tobacco machinery apparatus according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the drawings only show the components related to the present invention rather than the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
As shown in fig. 1, the present embodiment provides a failure diagnosis auxiliary device for a tobacco machinery, including: the system comprises an industrial control module 1, a light source module 2, an image acquisition module 3 and a diagnosis module 4.
The industrial control module 1 is used for controlling the light source module 2 to provide illumination for a target to be diagnosed of the tobacco mechanical equipment, and controlling the image acquisition module 3 to acquire an image, such as a picture or a video, of the target to be diagnosed, and sending the image to the diagnosis module 4. The diagnosis module 4 is used for displaying the image of the target to be diagnosed so as to assist in fault diagnosis.
In practical application, the light source module 2 and the image acquisition module 3 may be installed in advance at a position to be diagnosed of the tobacco mechanical equipment, and the industrial control module 1 controls the light source module 2 and the image acquisition module 3, or a worker may temporarily place the light source module 2 and the image acquisition module 3 at the position to be diagnosed of the tobacco mechanical equipment, and move to other positions to be diagnosed to perform a diagnosis task after the diagnosis of the target to be diagnosed is completed. Preferably, the light source module 2 is only turned on when the image acquisition module 3 acquires an image, and is not operated at other times, so that the power consumption cost is saved.
The diagnosis module 4 displays the pictures or videos acquired by the image acquisition module 3 in the screen, so that the staff can visually and clearly see the condition of the target to be diagnosed, and can completely grasp the actual condition of the target to be diagnosed by adjusting the magnification of the pictures and the playing speed of the videos, thereby achieving the purpose of assisting the staff in fault diagnosis.
Further, in one embodiment, the diagnostic module 4 itself may utilize existing image analysis techniques to perform fault diagnosis. Specifically, the diagnosis module 4 stores a historical database, and the historical database stores various types of historical failure information and corresponding maintenance information according to categories, and the historical failure information at least includes an image format. The diagnosis module 4 compares the acquired image of the target to be diagnosed with the images of various historical fault information, and generates a fault diagnosis result when the comparison result is consistent, so that a maintenance scheme of the fault diagnosis result can be further generated.
As shown in fig. 2, the present embodiment provides another fault diagnosis auxiliary device for a tobacco machinery, and an industrial control module 1 of the device mainly includes: the industrial control panel 101, the microprocessor 102, the light source control module 103, the camera trigger module 104, and may further include an image communication interface module 105 and a signal interface module 106. Wherein,
the industrial control board 101 is responsible for overall control of the device, image processing and the like, and has three main functions: the diagnosis module 4 is communicated with the first module, receives the setting information and the instruction of the diagnosis module 4 and transmits the image data to the diagnosis module 4; secondly, the image communication interface module 105 is communicated with the image acquisition module 3 to receive the acquired image data; thirdly, the microprocessor 102 is used for controlling the peripheral circuit in real time.
The functions for which the microprocessor 102 is responsible mainly include: and executing control instructions of the industrial control panel 101, image acquisition trigger signal control, light source control, signal processing of a tobacco machinery control system and the like.
The light source control module 103 is responsible for supplying power to the light source, executing instructions of the microprocessor 102, controlling the on/off of the light source, realizing light source stroboscopic and the like, turning on the light source only when photographing or shooting, and turning off the light source at other times.
The camera trigger module 104 is responsible for executing instructions of the microprocessor 102 and controlling the shooting of the image acquisition module 3.
The image communication interface module 105 is responsible for communication between the industrial control board 101 and the image acquisition module 3.
The signal interface module 106 is responsible for receiving trigger and phase signals of a tobacco machinery control system (an existing software system), controlling image acquisition time of a fault after being processed by the industrial control module 1, and meanwhile, is responsible for transmitting a fault diagnosis result to the tobacco machinery control system.
In addition, the light source module 2 may include an LED lamp or the like, and the image capture module 3 may employ an industrial camera or the like. In practical applications, it is preferable to project the light of the light source module 3 to the characteristic quantity portion of the object to be diagnosed, so that the portion to be detected and those portions which are not important are distinguished as dark and bright as possible, and the portion to be detected is highlighted, thereby facilitating subsequent fault diagnosis and analysis. Preferably, the image acquisition module 3 performs preprocessing such as denoising on the acquired image, and transmits the processed image to the industrial control module 1 for processing.
The diagnosis module 4 is responsible for providing a good human-computer interface for users to use, and can adopt a Microsoft Windows embedded operating system as a software platform and Microsoft Visual Studio 2017 to develop an application program. The functions of the diagnostic module 4 mainly include: firstly, the system communicates with an industrial control board 101 of an industrial control module 1, receives image data and transmits setting information and instructions to the industrial control module 1; secondly, the acquired image can be analyzed to assist in judging the cause of the fault of the diagnosis target; and thirdly, historical data management, which can store the past fault information (including pictures, video and the like) and maintenance data according to types and is used for supporting the rapid diagnosis of the fault.
Those skilled in the art will appreciate that the division of the various blocks in the embodiments of fig. 1 and 2 is merely a logical division, and may be implemented in whole or in part on one or more physical entities. The modules may be all implemented in the form of software invoked by the processing element, may also be all implemented in the form of hardware, and may also be implemented in the form of part of modules invoked by the processing element in the form of software, and part of modules implemented in the form of hardware, which is not limited in this respect.
As shown in fig. 3, the present embodiment provides a method for assisting in diagnosing a failure of a tobacco machine, where the method is performed by the apparatus for assisting in diagnosing a failure of a tobacco machine according to any one of the foregoing embodiments, and includes the following steps:
s31: the industrial control module controls the light source module to provide illumination for a target to be diagnosed of the tobacco mechanical equipment, controls the image acquisition module to acquire an image of the target to be diagnosed and sends the image to the diagnosis module;
s32: and the diagnosis module displays the image of the target to be diagnosed so as to assist in fault diagnosis.
In an embodiment, the method further comprises: and the diagnosis module carries out image analysis on the image of the target to be diagnosed and generates a fault diagnosis result. Specifically, the diagnosis module stores historical fault information and corresponding maintenance information in advance according to fault categories, generates a fault diagnosis result by comparing image data, and then generates a maintenance scheme of the fault diagnosis result.
The working mode of the image acquisition module 3 is mainly divided into a video recording mode and a photographing mode, the photographing mode is divided into a self-triggering mode and an external triggering mode, and a worker can set the image through the working mode setting interface of the diagnosis module 4 according to different requirements of the worker, namely, the method further comprises the following steps: the diagnostic module 4 obtains the working mode of the image acquisition module 3, and controls the image acquisition module 3 to acquire the image of the target to be diagnosed according to the working mode.
The video recording mode is according to certain length of time promptly, to being diagnosed the position and carry out the video recording, is about to light source module 2 and image acquisition module 3 to needing the diagnosis position, is carried out the video recording by industrial control module 1 control, and specific working process is: firstly, setting an interface through a diagnosis module 4 to set a working mode to a video recording mode; then the light source module 2 and the image acquisition module 3 are opposite to the diagnosed part, the camera trigger module 104 in the industrial control module 1 controls the image acquisition module 3 to shoot, and the light source control module 103 controls the on-off of the light source; and finally, the image analysis interface of the diagnosis module 4 searches the fault reasons through normal playing, slow playing, pausing, screen capturing and other modes.
The self-triggering mode is that triggering is set according to a certain time interval, and the part to be diagnosed is automatically photographed, and the specific working process is as follows: firstly, setting an interface through a diagnosis module 4 to set a working mode as a self-triggering mode, and setting a time interval; then the light source module 2 and the image acquisition module 3 are opposite to the diagnosed part, the camera trigger module 104 in the industrial control module 1 controls the image acquisition module 3 to take a picture, the light source control module 103 controls the on-off of the light source to realize the stroboscopic of the light source, the light source is turned on only when the image acquisition module 3 takes a picture, and the light source is turned off at other time; finally, the fault reason is searched in the image analysis interface of the diagnosis module 4 by analyzing each image, comparing historical images and the like.
The external triggering mode is to receive the triggering of the phase position or other signals of the tobacco mechanical control system and take a picture of the diagnosed part, and the specific working process is as follows: firstly, setting an interface through a diagnosis module 4 to set a working mode as an external trigger mode; then the light source module 2 and the image acquisition module 3 are opposite to the diagnosed part, the camera trigger module 104 in the industrial control module 1 controls the image acquisition module 3 to take a picture, the light source control module 103 controls the on-off of the light source to realize the stroboscopic of the light source, the light source is turned on only when the image acquisition module 3 takes a picture, and the light source is turned off at other time; finally, the fault reason is searched in the image analysis interface of the diagnosis module 4 by analyzing each image, comparing historical images and the like.
In summary, the auxiliary device and method for fault diagnosis of tobacco machinery equipment of the invention effectively overcome various defects in the prior art and have high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. A failure diagnosis auxiliary device for tobacco machinery equipment is characterized by comprising:
the system comprises an industrial control module, a light source module, an image acquisition module and a diagnosis module which are respectively in communication connection with the industrial control module;
the industrial control module is used for controlling the light source module to provide illumination for a target to be diagnosed of the tobacco mechanical equipment, controlling the image acquisition module to acquire an image of the target to be diagnosed and sending the image to the diagnosis module; the diagnosis module is used for displaying the image of the target to be diagnosed so as to assist in fault diagnosis.
2. The tobacco machinery equipment fault diagnosis auxiliary device according to claim 1, wherein the industrial control module comprises a microprocessor, and an industrial control board, a light source control module and a camera trigger module which are respectively electrically connected with the microprocessor; wherein,
the industrial control board is in communication connection with the diagnosis module; the light source control module is in communication connection with the light source module; the camera trigger module is in communication connection with the image acquisition module;
the microprocessor controls the light source module through the light source control module; the microprocessor controls the image acquisition module through the camera trigger module.
3. The failure diagnosis assistance device for tobacco machinery according to claim 1, wherein the industrial control module further comprises: and the image communication interface module is respectively connected with the industrial control board and the image acquisition module and is used for transmitting the image of the target to be diagnosed, acquired by the image acquisition module, to the industrial control board.
4. The failure diagnosis assistance device for tobacco machinery according to claim 1, wherein the industrial control module further comprises: and the signal interface module is respectively connected with the microprocessor and the tobacco mechanical equipment control system and is used for signal transmission between the industrial control module and the tobacco mechanical equipment control system.
5. A method for assisting in diagnosing a failure in a tobacco machine, which is applied to the apparatus for diagnosing a failure in a tobacco machine according to claim 1; the method comprises the following steps:
the industrial control module controls the light source module to provide illumination for a target to be diagnosed of the tobacco mechanical equipment, controls the image acquisition module to acquire an image of the target to be diagnosed and sends the image to the diagnosis module;
and the diagnosis module displays the image of the target to be diagnosed so as to assist in fault diagnosis.
6. The tobacco machinery fault diagnosis assistance method according to claim 5, characterized by further comprising: and the diagnosis module carries out image analysis on the image of the target to be diagnosed and generates a fault diagnosis result.
7. The tobacco machinery fault diagnosis assistance method according to claim 6, characterized by further comprising: and the diagnosis module stores historical fault information and corresponding maintenance information according to fault categories so as to generate a maintenance scheme of the fault diagnosis result after the fault diagnosis result is generated.
8. The tobacco machinery fault diagnosis assistance method according to claim 5, characterized by further comprising: the diagnosis module acquires the working mode of the image acquisition module and controls the image acquisition module to acquire the image of the target to be diagnosed according to the working mode; when the image acquisition module acquires an image, the light source module is started.
9. The method for assisting in diagnosing the malfunction of the tobacco machinery according to claim 8, wherein the operation mode includes photographing and video recording; the image of the target to be diagnosed is a picture or a video.
10. The tobacco machinery fault diagnosis auxiliary method according to claim 8, characterized in that the working modes include a self-triggering mode and an external triggering mode; the self-triggering mode is to collect images at preset time intervals, and the external triggering mode is to collect images when preset information of the control system of the tobacco mechanical equipment is received.
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