CN116395348A - Touch screen conveying line fault analysis system based on machine vision - Google Patents

Touch screen conveying line fault analysis system based on machine vision Download PDF

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Publication number
CN116395348A
CN116395348A CN202310554811.5A CN202310554811A CN116395348A CN 116395348 A CN116395348 A CN 116395348A CN 202310554811 A CN202310554811 A CN 202310554811A CN 116395348 A CN116395348 A CN 116395348A
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China
Prior art keywords
touch screen
data
carrier roller
processing module
motor
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CN202310554811.5A
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Chinese (zh)
Inventor
李东
张贝贝
梅志敏
李明聪
曾弯
关永强
徐国林
于金萍
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Wuhan Aisichuang Technology Co ltd
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Wuhan Aisichuang Technology Co ltd
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Priority to CN202310554811.5A priority Critical patent/CN116395348A/en
Publication of CN116395348A publication Critical patent/CN116395348A/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65GTRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G43/00Control devices, e.g. for safety, warning or fault-correcting
    • B65G43/02Control 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
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65GTRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G49/00Conveying systems characterised by their application for specified purposes not otherwise provided for
    • B65G49/05Conveying systems characterised by their application for specified purposes not otherwise provided for for fragile or damageable materials or articles
    • B65G49/06Conveying systems characterised by their application for specified purposes not otherwise provided for for fragile or damageable materials or articles for fragile sheets, e.g. glass
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

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Abstract

The invention discloses a touch screen conveying line fault analysis system based on machine vision, which belongs to the technical field of touch screen processing and comprises the following steps: the system processing module is used for receiving and processing system data so as to maintain normal fault analysis of the system; the system input module and the system display module are respectively integrated with the system processing module and are electrically connected with the input port and the output port of the system processing module; according to the invention, whether the touch screen conveying line fails or not is judged by judging the conveying speed of the conveying belt through the infrared transmitter and the infrared receiver, and other modules are started to conduct one-by-one investigation on the motor, the carrier roller and the conveying belt of the touch screen conveying line when the touch screen conveying line fails, so that the electric energy of enterprises is saved while the failure analysis effect is not influenced, the cost expenditure of the enterprises is reduced, the practicability of the system is improved, the whole-course mechanized operation is not needed, and the labor intensity of workers is reduced.

Description

Touch screen conveying line fault analysis system based on machine vision
Technical Field
The invention belongs to the technical field of touch screen processing, and particularly relates to a touch screen conveying line fault analysis system based on machine vision.
Background
With the development of computer technology, the input mode of the computer goes through four stages of paper tape input, keyboard input, mouse input and touch input, wherein the touch input is realized mainly by virtue of a touch screen as the computer can be conveniently and rapidly used by more people, and the touch screen is an induction type liquid crystal display instrument capable of receiving input signals such as a contact and the like, and a user can control the operation of the computer only by using a finger or a light pen touch screen at a certain position.
The touch screen needs cooperation of multiple working procedures in the production process, in order to improve the conveying efficiency of the touch screen among the multiple working procedures and reduce the labor intensity of workers, a conveying line is generally adopted at present to carry out conveying work of the touch screen among the multiple working procedures, but the conveying line is in mechanical transmission, so that faults often occur in the conveying process, the traditional fault analysis of the touch screen conveying line is completed based on manual inspection and analysis, the method needs workers to inspect the whole conveying line to carry out judgment and analysis, the workload is large, the experience of the workers is relatively relied on, and the problem of inaccurate analysis easily exists.
In view of the above, a system for analyzing faults of a touch screen conveyor line based on machine vision is designed to solve the above problems.
Disclosure of Invention
To solve the problems set forth in the background art. The invention provides a touch screen conveying line fault analysis system based on machine vision, which has the characteristics of mechanical automation, good fault analysis effect, energy conservation, environmental protection and reduction of labor intensity of staff.
In order to achieve the above purpose, the present invention provides the following technical solutions: a machine vision based touch screen conveyor line fault analysis system, comprising:
the system processing module is used for receiving and processing system data so as to maintain normal fault analysis of the system;
the system input module and the system display module are respectively integrated with the system processing module and are electrically connected with the input and output ports of the system processing module, and are respectively used for editing the system running program, the data required by the system and displaying the system fault analysis result;
the mobile camera is arranged above the touch screen conveying line, is electrically connected with an input port of the system processing module and is used for movably shooting images of all positions of the conveying line;
the infrared emitter and the infrared receiver are respectively arranged above and below the touch screen conveying line, and openings for the infrared emitter and the infrared receiver to emit and receive infrared signals are formed in the positions of the upper belt body and the lower belt body of the conveying belt of the touch screen conveying line, and are respectively and electrically connected with the input port of the system processing module and used for judging the speed of the conveying belt of the touch screen conveying line;
the environment detection module is arranged at any position of the touch screen conveyor line rack, is electrically connected with an input port of the system processing module and is used for detecting working environment data of the touch screen conveyor line;
the motor detection module is arranged on a motor of the touch screen conveying line, is electrically connected with an input port of the system processing module and is used for detecting working data of the motor of the touch screen conveying line;
the carrier roller detection module is arranged on the carrier roller of the touch screen conveying line, is electrically connected with the input port of the system processing module and is used for detecting working data of the carrier roller of the touch screen conveying line;
the conveyor belt detection module is arranged on the rack of the touch screen conveyor line, is electrically connected with the input port of the system processing module and is used for detecting working data of the touch screen conveyor line for conveying drops;
the system database is integrated with the system processing module and is electrically connected with an output port of the system processing module and is used for storing system running program data and required data;
the fault analysis module is integrated with the system processing module and is electrically connected with the system processing module and the input/output port of the system database, and is used for extracting data in the system database for fault analysis and returning an analysis result to the system processing module for processing.
Preferably, the environment detection module comprises an environment temperature sensor, an environment humidity sensor, an environment PH value sensor and an environment dust concentration sensor, wherein the environment temperature sensor, the environment humidity sensor, the environment PH value sensor and the environment dust concentration sensor are respectively arranged at any positions of the touch screen conveying line frame and are respectively electrically connected with an input port of the system processing module for detecting temperature, humidity, PH value and dust concentration data of a working place of the touch screen conveying line.
Preferably, the motor detection module comprises a motor sound sensor, a motor temperature sensor and a motor shaft type encoder, wherein the motor sound sensor and the motor temperature sensor are installed on a shell of the touch screen conveying line motor and are respectively electrically connected with an input port of the system processing module for detecting working decibels and temperatures of the motor, a driving gear is fixedly sleeved between an output shaft of the motor and a carrier roller, a mounting plate is fixedly connected with the other side of the motor, a connecting shaft is rotatably connected to one side of the mounting plate through a bearing towards the motor, a driven gear meshed with the driving gear is fixedly sleeved on the connecting shaft, and the motor shaft type encoder is installed at one end, far away from the mounting plate, of the connecting shaft and is electrically connected with the input port of the system processing module for detecting rotating speed data of motor work.
Preferably, the carrier roller detection module comprises a first carrier roller sound sensor, a second carrier roller sound sensor, a first carrier roller shaft type sensor, a second carrier roller shaft type sensor, a first pressure sensor and a second pressure sensor, wherein the first carrier roller sound sensor and the second carrier roller sound sensor are respectively arranged at positions, close to the driving carrier roller and the driven carrier roller, on a touch screen conveyor line frame and are respectively electrically connected with an input port of the system processing module, and are used for detecting working sound data of the driving carrier roller and the driven carrier roller, the first carrier roller shaft type sensor and the second carrier roller shaft type sensor are respectively arranged at one ends, far away from a motor, of the driving carrier roller and the driven carrier roller, are respectively electrically connected with an input port of the system processing module and are used for detecting rotation speed data of the working of the driving carrier roller and the driven carrier roller, and the first pressure sensor and the second pressure sensor are respectively arranged at positions, close to a conveyor belt, of the driving carrier roller and the driven carrier roller are respectively electrically connected with the input port of the system processing module and are used for detecting contact data between the driving carrier roller and the driven carrier roller and the conveyor belt.
Preferably, the conveyer belt detection module comprises a first laser type displacement sensor, a second laser type displacement sensor, a third laser type displacement sensor and a fourth laser type displacement sensor, wherein the first laser type displacement sensor, the second laser type displacement sensor, the third laser type displacement sensor and the fourth laser type displacement sensor are respectively installed on the inner walls of four corners of the touch screen conveyer belt frame and are respectively electrically connected with an input port of the system processing module for detecting distance data between the conveyer belt and the conveyer belt.
Preferably, the fault analysis module comprises a fault analysis module, wherein the fault analysis module is integrated with the system processing module and is electrically connected with the system processing module and the input/output port of the system database respectively, and is used for extracting data in the system database to perform fault analysis.
Preferably, the data required by the system input module comprises moving distance data and angle distance data when the mobile camera shoots each image, receiving interval time data of the infrared transmitter and the infrared receiver, motor working sound data, motor working temperature data, motor working rotating speed data, carrier roller working sound data, carrier roller working rotating speed data, pressure data between carrier roller working and a conveying belt, and distance data between the conveying belt and a laser type displacement sensor.
Preferably, the system database comprises an operation program database, a system parameter database and a system detection database, the operation program is stored in the operation program database after being input, the system parameter is stored in the system parameter database after being input, and the system detection data is stored in the system detection database.
Preferably, the fault analysis module further comprises a motor fault pre-analysis model, a carrier roller fault pre-analysis model and a conveyer belt fault pre-analysis model, wherein the motor fault pre-analysis model, the carrier roller fault pre-analysis model and the conveyer belt fault pre-analysis model are respectively integrated with the system processing module and are respectively electrically connected with the system processing module and input and output ports of the system database, and are used for extracting data in the system database to perform system fault pre-analysis and help staff to better avoid system faults.
Preferably, the motor fault pre-analysis model, the carrier roller fault pre-analysis model and the conveyer belt fault pre-analysis model are constructed through the following steps: searching historical data, deep mining the historical data, extracting characteristic values of the historical data, carrying out grouping clustering and dimension reduction processing, mining correlations among the characteristic values, fusing the characteristic data, establishing a training model, verifying the model, evaluating the model until accuracy is qualified, and obtaining the fault pre-analysis model.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, whether the touch screen conveying line fails or not is judged by judging the conveying speed of the conveying belt through the infrared transmitter and the infrared receiver, and other modules are started to conduct one-by-one investigation on the motor, the carrier roller and the conveying belt of the touch screen conveying line when the touch screen conveying line fails, so that the electric energy of enterprises is saved while the failure analysis effect is not influenced, the cost expenditure of the enterprises is reduced, the practicability of the system is improved, the whole-course mechanized operation is not needed, and the labor intensity of workers is reduced.
2. According to the invention, fault pre-analysis of the touch screen conveying line motor, the carrier roller and the conveying belt can be carried out according to the detected data, enough coping time can be given to enterprises, and the conveying efficiency of the touch screen conveying line is ensured.
Drawings
FIG. 1 is a block diagram of the overall system of the present invention;
FIG. 2 is a block diagram of an environment detection module system according to the present invention;
FIG. 3 is a block diagram of a motor detection module system according to the present invention;
fig. 4 is a block diagram of a carrier roller detection module system of the present invention;
FIG. 5 is a block diagram of a conveyor belt inspection module system of the present invention;
FIG. 6 is a block diagram of a failure analysis module system according to the present invention;
in the figure: 1. a mobile camera; 2. an infrared emitter; 3. an infrared receiver;
4. an environment detection module; 401. an ambient temperature sensor; 402. an ambient humidity sensor; 403. an environmental PH sensor; 404. an environmental dust concentration sensor;
5. a motor detection module; 501. a motor sound sensor; 502. a motor temperature sensor; 503. a motor shaft type encoder;
6. a carrier roller detection module; 601. a first idler acoustic sensor; 602. the second carrier roller sound sensor; 603. a first roller-type shaft sensor; 604. a second roller-type shaft sensor; 605. a first pressure sensor; 606. a second pressure sensor;
7. a conveyor belt detection module; 701. a first laser type displacement sensor; 702. a second laser type displacement sensor; 703. a third laser type displacement sensor; 704. a fourth laser type displacement sensor;
8. a system display module; 9. a system database;
10. a fault analysis module; 1001. a motor fault pre-analysis model; 1002. a carrier roller fault pre-analysis model; 1003. a conveyer belt fault pre-analysis model; 1004. a fault analysis module;
11. a system processing module; 12. and a system input module.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1-6, the present invention provides the following technical solutions: a machine vision based touch screen conveyor line fault analysis system, comprising:
a system processing module 11 for receiving and processing system data to maintain system normal fault analysis;
the system input module 12 and the system display module 8 are respectively integrated with the system processing module 11 and are electrically connected with input and output ports of the system processing module 11, and are respectively used for editing system running programs, data required by the system and displaying system fault analysis results;
the mobile camera 1 is arranged above the touch screen conveying line, is electrically connected with an input port of the system processing module 11 and is used for movably shooting images of all positions of the conveying line;
the infrared emitter 2 and the infrared receiver 3 are respectively arranged above and below the touch screen conveying line, and openings for the infrared emitter 2 and the infrared receiver 3 to emit and receive infrared signals are respectively arranged at the positions of the upper belt body and the lower belt body of the conveying belt of the touch screen conveying line and are respectively electrically connected with an input port of the system processing module 11, so that the speed of the conveying belt of the touch screen conveying line is judged;
the environment detection module 4 is arranged at any position of the touch screen conveyor line rack, is electrically connected with an input port of the system processing module 11 and is used for detecting the working environment data of the touch screen conveyor line;
the motor detection module 5 is arranged on a motor of the touch screen conveying line, is electrically connected with an input port of the system processing module 11 and is used for detecting working data of the motor of the touch screen conveying line;
the carrier roller detection module 6 is arranged on the carrier roller of the touch screen conveying line, is electrically connected with an input port of the system processing module 11 and is used for detecting working data of the carrier roller of the touch screen conveying line;
the conveyer belt detection module 7 is arranged on the frame of the touch screen conveyer line, is electrically connected with an input port of the system processing module 11 and is used for detecting working data of the touch screen conveyer line for conveying drops;
the system database 9 is integrated with the system processing module 11 and is electrically connected with an output port of the system processing module 11, and is used for storing system running program data and required data;
the fault analysis module 10 is integrated with the system processing module 11 and electrically connected with the system processing module 11 and the input/output ports of the system database 9, and is used for extracting data in the system database 9 for fault analysis and returning an analysis result to the system processing module 11 for processing.
Specifically, the environment detection module 4 includes an environmental temperature sensor 401, an environmental humidity sensor 402, an environmental PH sensor 403 and an environmental dust concentration sensor 404, where the environmental temperature sensor 401, the environmental humidity sensor 402, the environmental PH sensor 403 and the environmental dust concentration sensor 404 are respectively installed at any position of the touch screen conveyor line frame and are respectively electrically connected with the input port of the system processing module 11, and are used for detecting temperature, humidity, PH and dust concentration data of the touch screen conveyor line workplace.
Specifically, the motor detection module 5 includes motor sound sensor 501, motor temperature sensor 502 and motor shaft type encoder 503, motor sound sensor 501 and motor temperature sensor 502 are installed on the shell of touch-sensitive screen transfer chain motor, be connected with system processing module 11 input port electricity respectively, be used for detecting the work decibel and the temperature of motor, fixed the cup joint driving gear between motor output shaft and the bearing roller, the opposite side rigid coupling of motor has the mounting panel, the mounting panel is connected with the connecting axle through the bearing rotation towards motor one side, fixed cup joint the driven gear with the driving gear meshing on this connecting axle, motor shaft type encoder 503 installs the one end of keeping away from the mounting panel at this connecting axle, be connected with system processing module 11 input port electricity, be used for detecting the rotational speed data of motor work.
Specifically, the carrier roller detection module 6 includes a first carrier roller sound sensor 601, a second carrier roller sound sensor 602, a first carrier roller shaft sensor 603, a second carrier roller shaft sensor 604, a first pressure sensor 605 and a second pressure sensor 606, the first carrier roller sound sensor 601 and the second carrier roller sound sensor 602 are respectively installed at positions on the touch screen conveyor frame, which are close to the driving carrier roller and the driven carrier roller, and are respectively and electrically connected with the input port of the system processing module 11, and are used for detecting working sound data of the driving carrier roller and the driven carrier roller, the first carrier roller shaft sensor 603 and the second carrier roller shaft sensor 604 are respectively installed at one ends, far away from the motor, of the driving carrier roller and the driven carrier roller, are respectively and electrically connected with the input port of the system processing module 11, and are used for detecting rotational speed data of the driving carrier roller and the driven carrier roller, the first pressure sensor 605 and the second pressure sensor 606 are respectively and are respectively embedded in positions, which are close to the conveyor belt, and are respectively electrically connected with the input port of the system processing module 11, and are used for detecting contact data between the driving carrier roller and the driven carrier roller and the conveyor belt.
Specifically, the conveyor belt detection module 7 includes a first laser displacement sensor 701, a second laser displacement sensor 702, a third laser displacement sensor 703 and a fourth laser displacement sensor 704, where the first laser displacement sensor 701, the second laser displacement sensor 702, the third laser displacement sensor 703 and the fourth laser displacement sensor 704 are respectively installed on the inner walls of four corners of the frame of the touch screen conveyor belt and are respectively electrically connected with the input port of the system processing module 11, and are used for detecting distance data between the conveyor belt and the conveyor belt.
Specifically, the fault analysis module 10 includes a fault analysis module 1004, where the fault analysis module 1004 is integrated with the system processing module 11 and electrically connected to the input/output ports of the system processing module 11 and the system database 9, respectively, and is used to extract data in the system database 9 for performing fault analysis.
Specifically, the system input module 12 inputs data required by the system, including moving distance data and angle distance data when the mobile camera 1 shoots each image, interval time data received by the infrared transmitter 2 and the infrared receiver 3, motor working sound data, motor working temperature data, motor working rotation speed data, carrier roller working sound data, carrier roller working rotation speed data, pressure data between carrier roller working and a conveying belt, and distance data between the conveying belt and a laser displacement sensor.
Specifically, the system database 9 includes an operation program database, a system parameter database, and a system detection database, the operation program is stored in the operation program database after input, the system parameter is stored in the system parameter database after input, and the system detection data is stored in the system detection database.
The working principle of the embodiment is as follows:
before system fault analysis, data required by a system including moving distance data and angle distance data when the mobile camera 1 shoots images, receiving interval time data, motor working sound data, motor working temperature data, motor working rotating speed data, carrier roller working sound data, carrier roller working rotating speed data, pressure data between carrier roller working and a conveying belt, distance data between the conveying belt and a laser type displacement sensor and the like are input through the system input module 12, and the system processing module 11 stores the input data required by the system in a system parameter database;
in the system fault analysis process, only the infrared emitter 2, the infrared receiver 3, the environment detection module 4 and the motor temperature sensor 502 of the motor detection module 5 are started, the environment temperature sensor 401, the environment humidity sensor 402, the environment PH value sensor 403 and the environment dust concentration sensor 404 in the environment detection module 4 respectively monitor temperature, humidity, PH value and dust concentration data in the working environment of the touch screen conveyor line in real time and transmit the data to the system processing module 11, the system processing module 11 stores the monitored data in a system detection database, the motor temperature sensor 502 monitors the temperature of the motor in real time and transmits the monitored data to the system processing module 11, the system processing module 11 stores the monitored data in the system detection database, if the interval time of the infrared receiver 3 receiving infrared signals emitted by the infrared emitter 2 is the same as the preset interval time, if the interval time of the infrared receiver 3 receiving the infrared signal emitted by the infrared emitter 2 is different from the preset interval time, the system judges that the touch screen conveyor line is faulty, the system processing module 11 starts the motor sound sensor 501 and the motor shaft encoder 503 of the motor detection module 5, the motor sound sensor 501 and the motor shaft encoder 503 monitor the working sound and the working rotation speed of the motor in real time and transmit the working rotation speed to the system processing module 11, the system processing module 11 transmits the monitoring data to the system detection database, meanwhile, the system processing module 11 triggers a fault analysis instruction of the fault analysis module 1004, the fault analysis module 1004 extracts the motor temperature and rotation speed data in the system detection database and compares the motor temperature and rotation speed data in the system parameter database, judging whether the motor is abnormal or not, if the sound and the rotating speed of the motor are normal, judging that the motor is not in failure, otherwise, judging that the motor is in failure, controlling the mobile camera 1 to move by the system processing module 11, taking the appearance image of the motor at the moment, transmitting the image to the system processing module 11, transmitting the image to a system detection database by the system processing module 11, analyzing the failure cause and generating a coping policy based on big data in the system detection database by the failure analysis module 1004, displaying the analysis result on the system display module 8 through the system processing module 11, continuously starting the first carrier roller sound sensor 601, the second carrier roller sound sensor 602, the first carrier roller shaft type sensor 603, the second carrier roller shaft type sensor 604, the first pressure sensor 605 and the second pressure sensor 606 of the system detection database, analyzing the values of the first carrier roller sound sensor 601, the second carrier roller sound sensor 602, the first pressure sensor 605 and the second pressure sensor 606 respectively, and the rotating speed of the system detection module 11 and detecting the rotating speed of the system, analyzing the data between the data and the rotating speed of the monitoring module 11 and the rotating speed of the system, analyzing the data and the data of the data in real time and the data of the abnormal values of the data between the system and the rotating speed of the carrier roller detection module and the monitoring module and the data of the carrier roller detection module 11, and the data of the abnormal values of the system are simultaneously, judging that the failure is detected by the system processing module 11 is continuously, and the values of the data is transmitted by the system processing module 11 and the data, if the carrier roller is judged to be faulty, the system processing module 11 controls the mobile camera 1 to move, the appearance image of the shot carrier roller at the moment is transmitted to the system processing module 11, the system processing module 11 transmits the image to the system detection database, the fault analysis module 1004 extracts the environmental data and the image data in the system detection database to perform fault cause analysis based on big data and generate a coping policy, the analysis result is displayed on the system display module 8 through the system processing module 11, the system processing module 11 continuously starts the mobile camera 1 to shoot the appearance image of the conveyor belt and transmit the appearance image to the system processing module 11, the system processing module 11 transmits the image to the system detection database, meanwhile, the system processing module 11 triggers the fault analysis module 1004 to analyze the instruction, the fault analysis module 1004 extracts the images of the conveyer belt in the system detection database and the images of the conveyer belt in the system parameter database for comparison, judges whether the conveyer belt is broken, judges that the conveyer belt is normal if the images are the same, otherwise judges that the conveyer belt is faulty, the fault analysis module 1004 extracts environmental data and image data in the system detection database for fault reason analysis based on big data and generates a coping policy, and displays the analysis result on the system display module 8 through the system processing module 11, and the system processing module 11 continuously starts the first laser type displacement sensor 701, the second laser type displacement sensor 702, the third laser type displacement sensor 703 and the fourth laser type displacement sensor 704, the first laser type displacement sensor 701, the second laser type displacement sensor 702, the third laser type displacement sensor 704, the third laser type displacement sensor 702 and the fourth laser type displacement sensor 704 of the conveyer belt detection module 7, the third laser type displacement sensor 703 and the fourth laser type displacement sensor 704 monitor the distance between the conveyor belt and the conveyor belt in real time and transmit the distance to the system processing module 11, the system processing module 11 transmits the monitoring data to the system detection database, meanwhile, the system processing module 11 triggers a fault analysis instruction of the fault analysis module 1004, the fault analysis module 1004 extracts the distance data between the conveyor belt and the laser type displacement sensor in the system detection database and the distance data between the conveyor belt and the laser type displacement sensor in the system parameter database, judges whether the conveyor belt is deviated, if the distance data are the same, the conveyor belt is judged to be normal, otherwise, the conveyor belt is judged to be deviated, the system processing module 11 controls the mobile camera 1 to move, the appearance image of the shot motor at the moment is transmitted to the system processing module 11, the system processing module 11 transmits the image to the system detection database, the fault analysis module 1004 extracts the environmental data and the image data in the system detection database, performs fault cause analysis and generates a coping policy based on the big data, and displays the analyzing result on the system display module 8 through the system processing module 11, and the coping policy is improved for the fault cause and coping capability of the touch screen.
Example 2
The difference between this embodiment and embodiment 1 is that:
specifically, the fault analysis module 10 further includes a motor fault pre-analysis model 1001, a carrier roller fault pre-analysis model 1002 and a conveyor belt fault pre-analysis model 1003, where the motor fault pre-analysis model 1001, the carrier roller fault pre-analysis model 1002 and the conveyor belt fault pre-analysis model 1003 are respectively integrated with the system processing module 11 and respectively electrically connected with the system processing module 11 and the input and output ports of the system database 9, and are used for extracting data in the system database 9 to perform system fault pre-analysis, so as to help staff to better avoid system faults.
Specifically, the motor failure pre-analysis model 1001, the carrier roller failure pre-analysis model 1002 and the conveyor belt failure pre-analysis model 1003 are constructed by the following steps: searching historical data, deep mining the historical data, extracting characteristic values of the historical data, carrying out grouping clustering and dimension reduction processing, mining correlations among the characteristic values, fusing the characteristic data, establishing a training model, verifying the model, evaluating the model until accuracy is qualified, and obtaining the fault pre-analysis model.
The working principle of the embodiment is as follows:
in the above process, the system processing module 11 controls the mobile camera 1 to move and shoot the working image of each position structure at fixed time and transmit the working image to the system detection database, and the motor fault pre-analysis model 1001, the carrier roller fault pre-analysis model 1002 and the conveyor belt fault pre-analysis model 1003 extract the data in the system detection database to perform the fault pre-analysis of the motor, the carrier roller and the conveyor belt, so that the function of preventing in advance can be achieved.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. Touch screen transfer chain fault analysis system based on machine vision, characterized by, include:
a system processing module (11) for receiving and processing system data to maintain a system normal fault analysis;
the system input module (12) and the system display module (8) are respectively integrated with the system processing module (11) and are electrically connected with input and output ports of the system processing module (11) and are respectively used for editing system running programs, data required by the system and displaying system fault analysis results;
the mobile camera (1) is arranged above the touch screen conveying line, is electrically connected with an input port of the system processing module (11) and is used for movably shooting images of all positions of the conveying line;
the infrared emitter (2) and the infrared receiver (3) are respectively arranged above and below the touch screen conveying line, openings for the infrared emitter (2) and the infrared receiver (3) to emit and receive infrared signals are formed in positions of upper and lower belt bodies of the conveying belt of the touch screen conveying line, and the openings are respectively electrically connected with an input port of the system processing module (11) and used for judging the speed of the conveying belt of the touch screen conveying line;
the environment detection module (4) is arranged at any position of the touch screen conveyor line rack, is electrically connected with an input port of the system processing module (11) and is used for detecting working environment data of the touch screen conveyor line;
the motor detection module (5) is arranged on a motor of the touch screen conveying line, is electrically connected with an input port of the system processing module (11) and is used for detecting working data of the motor of the touch screen conveying line;
the carrier roller detection module (6) is arranged on a carrier roller of the touch screen conveying line, is electrically connected with an input port of the system processing module (11) and is used for detecting working data of the carrier roller of the touch screen conveying line;
the conveyer belt detection module (7) is arranged on the frame of the touch screen conveyer line, is electrically connected with an input port of the system processing module (11) and is used for detecting working data of the touch screen conveyer line for conveying drops;
a system database (9) integrated with the system processing module (11) and electrically connected with an output port of the system processing module (11) for storing system operation program data and required data;
the fault analysis module (10) is integrated with the system processing module (11) and is electrically connected with the system processing module (11) and the input/output ports of the system database (9) and is used for extracting data in the system database (9) to perform fault analysis and then returning an analysis result to the system processing module (11) for processing.
2. The machine vision-based touch screen conveyor line fault analysis system of claim 1, wherein: the environment detection module (4) comprises an environment temperature sensor (401), an environment humidity sensor (402), an environment PH value sensor (403) and an environment dust concentration sensor (404), wherein the environment temperature sensor (401), the environment humidity sensor (402), the environment PH value sensor (403) and the environment dust concentration sensor (404) are respectively arranged at any positions of the touch screen conveyor line rack and are respectively electrically connected with an input port of the system processing module (11) for detecting temperature, humidity, PH value and dust concentration data of a working place of the touch screen conveyor line.
3. The machine vision-based touch screen conveyor line fault analysis system of claim 1, wherein: the motor detection module (5) comprises a motor sound sensor (501), a motor temperature sensor (502) and a motor shaft encoder (503), wherein the motor sound sensor (501) and the motor temperature sensor (502) are arranged on a shell of the touch screen conveyor line motor and are respectively electrically connected with an input port of the system processing module (11) for detecting the working decibel and the temperature of the motor, a driving gear is fixedly sleeved between a motor output shaft and a carrier roller, a mounting plate is fixedly connected with the other side of the motor, a connecting shaft is rotatably connected with one side of the mounting plate through a bearing towards the motor, a driven gear meshed with the driving gear is fixedly sleeved on the connecting shaft, and the motor shaft encoder (503) is arranged at one end, far away from the mounting plate, of the connecting shaft and is electrically connected with the input port of the system processing module (11) for detecting the rotating speed data of the motor.
4. The machine vision-based touch screen conveyor line fault analysis system of claim 1, wherein: the carrier roller detection module (6) comprises a first carrier roller sound sensor (601), a second carrier roller sound sensor (602), a first carrier roller shaft type sensor (603), a second carrier roller shaft type sensor (604), a first pressure sensor (605) and a second pressure sensor (606), wherein the first carrier roller sound sensor (601) and the second carrier roller sound sensor (602) are respectively arranged at positions, close to a driving carrier roller and a driven carrier roller, on a touch screen conveyor line frame and are respectively electrically connected with an input port of a system processing module (11) for detecting working sound data of the driving carrier roller and the driven carrier roller, the first carrier roller shaft type sensor (603) and the second carrier roller shaft type sensor (604) are respectively arranged at one ends, far away from a motor, of the driving carrier roller and the driven carrier roller and are respectively electrically connected with an input port of the system processing module (11) for detecting rotating speed data of the driving carrier roller and the driven carrier roller, and the first pressure sensor (605) and the second pressure sensor (606) are respectively arranged at positions, close to a conveyor belt, close to the driving carrier roller and the driven carrier roller, respectively, and are respectively connected with the system processing module (11) and are used for detecting contact data between the input port and the driving carrier roller and the driven carrier roller.
5. The machine vision-based touch screen conveyor line fault analysis system of claim 1, wherein: the conveying belt detection module (7) comprises a first laser type displacement sensor (701), a second laser type displacement sensor (702), a third laser type displacement sensor (703) and a fourth laser type displacement sensor (704), wherein the first laser type displacement sensor (701), the second laser type displacement sensor (702), the third laser type displacement sensor (703) and the fourth laser type displacement sensor (704) are respectively installed on the inner walls of four corners of the touch screen conveying line frame and are respectively electrically connected with an input port of the system processing module (11) for detecting distance data between the conveying belt and the conveying belt.
6. The machine vision-based touch screen conveyor line fault analysis system of claim 1, wherein: the fault analysis module (10) comprises a fault analysis module (1004), wherein the fault analysis module (1004) is integrated with the system processing module (11) and is electrically connected with the input and output ports of the system processing module (11) and the system database (9) respectively, and is used for extracting data in the system database (9) to perform fault analysis.
7. The machine vision-based touch screen conveyor line fault analysis system of claim 1, wherein: the system input module (12) inputs data required by the system, including moving distance data and angle distance data when the mobile camera (1) shoots each image, receiving interval time data, motor working sound data, motor working temperature data, motor working rotating speed data, carrier roller working sound data, carrier roller working rotating speed data, pressure data between carrier roller working and a conveying belt and distance data between the conveying belt and a laser type displacement sensor by the infrared transmitter (2) and the infrared receiver (3).
8. The machine vision-based touch screen conveyor line fault analysis system of claim 1, wherein: the system database (9) comprises an operation program database, a system parameter database and a system detection database, wherein the operation program is stored in the operation program database after being input, the system parameter is stored in the system parameter database after being input, and the system detection data is stored in the system detection database.
9. The machine vision-based touch screen conveyor line fault analysis system of claim 1, wherein: the fault analysis module (10) further comprises a motor fault pre-analysis model (1001), a carrier roller fault pre-analysis model (1002) and a conveyer belt fault pre-analysis model (1003), wherein the motor fault pre-analysis model (1001), the carrier roller fault pre-analysis model (1002) and the conveyer belt fault pre-analysis model (1003) are respectively integrated with the system processing module (11) and are respectively electrically connected with the input and output ports of the system processing module (11) and the system database (9) and are used for extracting data in the system database (9) to conduct system fault pre-analysis and help staff to better avoid system faults.
10. The machine vision based touch screen conveyor line fault analysis system of claim 9, wherein: the motor fault pre-analysis model (1001), the carrier roller fault pre-analysis model (1002) and the conveyor belt fault pre-analysis model (1003) are constructed through the following steps: searching historical data, deep mining the historical data, extracting characteristic values of the historical data, carrying out grouping clustering and dimension reduction processing, mining correlations among the characteristic values, fusing the characteristic data, establishing a training model, verifying the model, evaluating the model until accuracy is qualified, and obtaining the fault pre-analysis model.
CN202310554811.5A 2023-05-15 2023-05-15 Touch screen conveying line fault analysis system based on machine vision Withdrawn CN116395348A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117622809A (en) * 2024-01-25 2024-03-01 太仓武港码头有限公司 Bucket wheel machine operation AI monitoring method and server

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117622809A (en) * 2024-01-25 2024-03-01 太仓武港码头有限公司 Bucket wheel machine operation AI monitoring method and server
CN117622809B (en) * 2024-01-25 2024-03-29 太仓武港码头有限公司 Bucket wheel machine operation AI monitoring method and server

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