CN109558852A - A kind of spinning machine fault monitoring system based on image recognition technology - Google Patents
A kind of spinning machine fault monitoring system based on image recognition technology Download PDFInfo
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- CN109558852A CN109558852A CN201811472777.2A CN201811472777A CN109558852A CN 109558852 A CN109558852 A CN 109558852A CN 201811472777 A CN201811472777 A CN 201811472777A CN 109558852 A CN109558852 A CN 109558852A
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- D—TEXTILES; PAPER
- D01—NATURAL OR MAN-MADE THREADS OR FIBRES; SPINNING
- D01D—MECHANICAL METHODS OR APPARATUS IN THE MANUFACTURE OF ARTIFICIAL FILAMENTS, THREADS, FIBRES, BRISTLES OR RIBBONS
- D01D13/00—Complete machines for producing artificial threads
- D01D13/02—Elements of machines in combination
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/06—Recognition of objects for industrial automation
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Abstract
The present invention provides a kind of spinning machine fault monitoring system based on image recognition technology, comprising: server-side, and the terminal being set on each spinning machine being connect with the server-side；The terminal includes the control device and image collecting device of the described server-side connection；The control device is set on the spinning machine, for controlling for the working condition to the spinning machine；Described image acquisition device, the position that the spinning operating status in spinning window region can be monitored in the spinning machine.The present invention, which is realized, to be carried out while monitoring to multiple spinning equipments, monitor the working condition of each spinning machine in real time, and when there is abnormality, it rapidly finds out problem and solves the failure problems of the spinning machine of corresponding failure by control device, the cost of labor and time cost of monitoring are greatly reduced, is brought convenience for the management work in spinning machine workshop.
Description
Technical field
The invention belongs to spinning machine malfunction monitoring technical field more particularly to a kind of spinning machines based on image recognition technology
Fault monitoring system.
Background technique
Spinning machine (spinning machine of chemical fibre) is that one kind makes fibre-forming polymer solution or molten
The machine of body formation filiform.According to fiber spinning processes difference, spinning machine is divided into wet-spinning frame, melt spinning machine, dry method
Spinning machine three types.Suitable for the spinning machine of viscose rayon, acrylic fibers, polyvinyl etc., general predominantly wet-spinning frame.Mainly
Feature is that polymer solution is squeezed out from spinneret orifice, is frozen into as-spun fibre in solidification fluid bowl, spinning speed is lower, Chang 100
M/min hereinafter, the speed of high speed spinning up to 200 ms/min or so.Wet-spinning frame is divided to staple fiber and two kinds of long fibre again.
During spinning machine work, it is particularly applied to prepare the spinning machine of acrylic fibers, usually due to chemical fibre raw material etc.
Unstable or environment, machinery equipment influence, cause the failures such as broken string, off-axis, caused machine stops.It is existing to be used for
The method for monitoring spinning machine failure, main includes two kinds: 1, being artificial investigation, determined in spinning workshop by staff
When tour, to search failed machines；2, to be detected by photoelectric mechanical inductor, inductor is permitted to be mounted on spinning defeated
Exit port, touching spinning.
In short, the method for existing monitoring spinning machine failure, is checked altogether by people and increases cost of labor, cannot achieve quickly
It is low that accuracy is cut in response；Detected by photoelectric mechanical inductor then influences yarn to a certain extent exports quality, and
The yarn that output can only be detected can not detect the working condition in spinning window, can not judge spinning machine malfunction or event
Hinder reason, brings huge inconvenience for the management work in spinning machine workshop.
Summary of the invention
Based on the above issues, the spinning machine failure based on image recognition technology that the main purpose of the present invention is to provide a kind of
Monitoring system, to solve defect and deficiency in the prior art.
To solve the above problems, the present invention provides a kind of spinning machine fault monitoring system based on image recognition technology, packet
It includes:
Server-side, and the terminal being set on each spinning machine being connect with the server-side；
The terminal includes the control device and image collecting device of the described server-side connection；
The control device is set on the spinning machine, for controlling for the working condition to the spinning machine；
Described image acquisition device can be monitored the spinning operating status in spinning window region in the spinning machine
Position；
By described image acquisition device, the corresponding spinning state of spinning operating status in spinning window region is obtained
Image；After the server-side gets the spinning status image, the spinning status image is identified, it is current to judge
Spinning operating status it is whether normal；If current spinning operating status is abnormality, according to the abnormality to institute
State control device send debugging instruction, in order to the control device according to the debugging instruction to the work shape of the spinning machine
State is debugged.
Preferably, the server-side includes:
Central processing unit, and the neural network recognization unit, the training data that are connect with the central processing unit
Library unit, real-time data memory unit and network communication unit；The training data library unit and the real-time data memory list
Member connection；
The central processing unit receives the spinning shape that described image acquisition device returns by the network communication unit
State image is simultaneously stored into the real-time data memory unit, controls the neural network recognization unit and utilizes the tranining database
Unit obtains spinning state recognition neural network model to training, and passes through the spinning state recognition nerve net of training in advance
Network model identifies the spinning status image in the real-time data memory unit, to judge current spinning operation
Whether state is normal.
Preferably, the server-side further includes the fault warning unit connecting with the central processing unit；
When there is abnormality, the central processing unit generates an abnormality alarm according to the abnormality and refers to
It enables；It include the spinning operation for the corresponding spinning machine and the spinning machine of abnormality occur in the abnormality alarm command
State；
The fault warning unit carries out warning note according to the abnormality alarm command.
Preferably, the terminal further includes brightness regulating apparatus；
The brightness regulating apparatus includes the first light sensor set on spinning window region, with first light
The adjusting processor that sensor is electrically connected, and connect with the adjusting processor, and filled for being acquired in described image
When setting progress Image Acquisition, the supplementary lighting sources of light filling are carried out to spinning window region；
When described image acquisition device carries out Image Acquisition, the adjusting processor controls first light sensor
The first light data information is acquired, and light filling instruction is generated according to the first light data information, is referred to according to the light filling
It enables and controls the supplementary lighting sources progress light filling.
Preferably, described image acquisition device further includes the second light sensor at described image acquisition device；
Second light sensor is connect with the adjusting processor；
When described image acquisition device carries out Image Acquisition, the adjusting processor controls first light sensor
The first light data information is acquired, second light sensor is controlled and acquires the second light data information；
The adjusting processor is comprehensive according to the first light data information and the second light data information generation one
Light filling instruction is closed, the supplementary lighting sources are controlled according to the comprehensive light filling instruction and carry out light filling.
Preferably, the terminal further includes user login management device；
The user login management device includes control request unit and the control request unit and the service
Hold the authentication processing unit being all connected with, and the authentication image acquisition unit connecting with the authentication processing unit；
After the control request unit receives manual control instruction, the authentication processing unit controls the certification
Image acquisition units carry out carrying out Image Acquisition to user to be certified, obtain authentication image；
The authentication processing unit is according to the characteristic information in the authentication feature database of the server-side to the certification
Image carries out image recognition；After confirming the corresponding user to be certified of the authentication image to have authenticated user, to the control
Device sends control right transfer instruction, in order to instruct according to the control right transfer, receives the instruction for having authenticated user's transmission
The control device is controlled.
Preferably, the terminal further includes temperature sensor；The server-side includes processing unit；
The temperature sensor is set in spinning window region, and is connected with the processing unit of the server-side
It connects；
The temperature sensor is in real time or the current temperature data described in timing acquisition in spinning window region；The processing is single
After member receives the current temperature data, the temperature data is compared with preset temperature threshold, if the temperature number
According to the preset temperature threshold is exceeded, then temperature control instruction is generated；It is instructed according to the temperature control and controls the corresponding institute of the spinning machine
It states control device and carries out temperature debugging.
Preferably, the terminal further includes infrared sensor；The server-side includes processing unit；
The infrared sensor is connect with the processing unit of the server-side；
The infrared sensor is set in spinning window region；
The processing unit by the infrared sensor in spinning window region spinning position and/or spinning bucket
Pipe position carries out in real time or timing detects, if the spinning position and/or spinning bucket pipe position exceed predeterminated position range, gives birth to
At a warning instruction；The corresponding control device of the control spinning machine is instructed to be debugged according to the warning.
Preferably, the spinning machine fault monitoring system further includes photovoltaic devices；
The photovoltaic devices include photovoltaic solar panel, the photoelectric conversion circuit being connect with the photovoltaic solar panel, with
The hub of the photoelectric conversion circuit connection；
The control device and image collecting device of the terminal of each spinning machine are electrically connected with the hub, in order to
It is powered by the photovoltaic devices.
Preferably, the photovoltaic devices further include secondary battery unit group；
The secondary battery unit group is electrically connected with the photoelectric conversion circuit and the hub.
The present invention provides a kind of spinning machine fault monitoring system based on image recognition technology, comprising: server-side, Yi Jiyu
The terminal of the server-side connection being set on each spinning machine；The terminal includes the control device of the described server-side connection
And image collecting device；The control device is set on the spinning machine, the progress for the working condition to the spinning machine
Control；Described image acquisition device can be monitored the spinning operating status in spinning window region in the spinning machine
Position.The present invention is directed to the spinning of corresponding spinning machine by the image collecting device in the terminal on each spinning machine
Silk window region is monitored, and carries out image recognition by spinning status image of the server-side to the accessed spinning machine,
It is whether normal with the spinning operating status for judging current, and when there is abnormality, by control device to the spinning machine
It is debugged.The present invention, which is realized, to be carried out while monitoring to multiple spinning equipments, monitors the work shape of each spinning machine in real time
State, and when there is abnormality, it rapidly finds out problem and solves the spinning machine of corresponding failure by control device
Failure problems, greatly reduce the cost of labor and time cost of monitoring, brought convenience for the management work in spinning machine workshop.
Detailed description of the invention
Fig. 1 is that the circuit of the spinning machine fault monitoring system based on image recognition technology in first embodiment in the application connects
Connect schematic diagram；
Fig. 2 is the server-side of the spinning machine fault monitoring system based on image recognition technology in second embodiment in the application
Connection schematic diagram；
Fig. 3 is the brightness tune of the spinning machine fault monitoring system based on image recognition technology in 3rd embodiment in the application
Connection schematic diagram of the regulating device in spinning machine；
Fig. 4 is the brightness tune of the spinning machine fault monitoring system based on image recognition technology in 3rd embodiment in the application
The modular wire line connection schematic diagram of regulating device；
Fig. 5 is the terminal of the spinning machine fault monitoring system based on image recognition technology in fourth embodiment in the application
Connection schematic diagram；
Fig. 6 is the terminal of the spinning machine fault monitoring system based on image recognition technology in the 5th embodiment in the application
Connection schematic diagram；
Fig. 7 is the photovoltaic dress of the spinning machine fault monitoring system based on image recognition technology in sixth embodiment in the application
The connection schematic diagram set.
Appended drawing reference:
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
The embodiment of the present invention is described below in detail, in which the same or similar labels are throughly indicated same or like
Element or element with the same or similar functions.
In addition, term " first ", " second " are used for descriptive purposes only and cannot be understood as indicating or suggesting relative importance
Or implicitly indicate the quantity of indicated technical characteristic.Define " first " as a result, the feature of " second " can be expressed or
Implicitly include one or more of the features.In the description of the present invention, the meaning of " plurality " is two or more,
Unless otherwise specifically defined.
In the present invention unless specifically defined or limited otherwise, term " installation ", " connected ", " connection ", " fixation " etc.
Term shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or integral；It can be mechanical connect
It connects, is also possible to be electrically connected；It can be directly connected, can also can be in two elements indirectly connected through an intermediary
The interaction relationship of the connection in portion or two elements.It for the ordinary skill in the art, can be according to specific feelings
Condition understands the concrete meaning of above-mentioned term in the present invention.
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Embodiment 1:
With reference to Fig. 1, the present embodiment provides a kind of spinning machine fault monitoring system 1 based on image recognition technology, comprising: clothes
Business end 11, and the terminal 12 being set on each spinning machine being connect with the server-side 11；
The terminal 12 includes the control device 121 and image collecting device 122 that the described server-side 11 connects；
The control device 121 is set on the spinning machine, for controlling for the working condition to the spinning machine；
Described image acquisition device 122 can carry out the spinning operating status in spinning window region in the spinning machine
The position of monitoring；
By described image acquisition device 122, the corresponding spinning of spinning operating status in spinning window region is obtained
Status image；After the server-side 11 gets the spinning status image, the spinning status image is identified, to sentence
Whether the spinning operating status for breaking current is normal；If current spinning operating status is abnormality, according to the abnormal shape
State to the control device 121 send debugging instruction, in order to the control device 121 according to the debugging instruction to the spinning
The working condition of silk machine is debugged.
Above-mentioned, the spinning machine fault monitoring system 1 provided in the present embodiment based on image recognition technology can be applied
In the spinning machine for being directed to acrylic fibers preparation, can also be arranged according to practical spinning state and spinning working condition, spinning machine model
For corresponding spinning machine fault monitoring system 1, it is monitored.
Above-mentioned, spinning machine fault monitoring system 1, can be applied to spinning machine provided in the present embodiment, it is preferred that can
To be applied to more spinning machines progress in parallel in spinning workshop while monitor.
Above-mentioned, the connection type of server-side 11 and terminal 12 can also be connected to be connected by cable by network
It connects, for example, passing through wireless network connection.
Above-mentioned, server-side 11 can be local server, or cloud server.For example, being set in spinning workshop
Set data relay local server, and the control authority of image recognition and control device 121 be provided, and local server with
Cloud server is by network connection, to realize that local, cloud is monitored in real time and adjusted to the multiple devices in spinning workshop
Examination reaches long-range to realize through the control of local server and cloud server to each spinning machine in spinning workshop
With the purpose of local dual operation.
Above-mentioned, hub 133 can also be arranged in centre, i.e. control in every spinning machine in the connection of terminal 12 and cloud
Device 121 processed with one control hub 133 connect, the image collecting device 122 in every spinning machine with an Image Acquisition
Hub 133 connects, and the connection of control hub 133 and described image acquisition hub 133 are connect with server-side 11.
Above-mentioned, image collecting device 122 can be camera.Wherein, the deployment quantity of camera can be 1, can also
Think it is multiple, thus in spinning window layout and setting carry out multi-angle image obtain, to reach raising recognition accuracy
Purpose.
Above-mentioned, spinning machine (spinning machine of chemical fibre) is that one kind makes fibre-forming polymer solution
Or the machine of melt composition filiform.According to fiber spinning processes difference, spinning machine be divided into wet-spinning frame, melt spinning machine,
Air spinning machine three types.And the spinning machine for being used for acrylic fibers can be wet process, or solution or air spinning machine,
In, it include the spinning attenuation zone for implementing monitoring in spinning machine, which is equipped with spinning window, passes through spinning window observable
To internal spinning situation and reel for the equipment running status in the collection situation and spinning process of spinning.Passing through people
When work is monitored, need by visually carrying out that situation in spinning window is observed and recorded in real time, to reach the mesh of monitoring
's.
The present embodiment is directed to corresponding by the image collecting device 122 in the terminal 12 on each spinning machine
The spinning window region of spinning machine is monitored, and by server-side 11 to the spinning status image of the accessed spinning machine into
Row image recognition, it is whether normal with the spinning operating status for judging current, and when there is abnormality, pass through control device
121 pairs of spinning machines are debugged.The present embodiment, which is realized, to carry out while monitoring to multiple spinning equipments, monitors each in real time
The working condition of spinning machine, and when there is abnormality, it rapidly finds out problem and is solved by control device 121 corresponding
The failure problems of the spinning machine of failure greatly reduce the cost of labor and time cost of monitoring, are spinning machine workshop
Management work is brought convenience.
Embodiment 2:
With reference to Fig. 2, based on the above embodiment 1, the spinning machine failure based on image recognition technology that the present embodiment provides a kind of
Monitoring system 1, wherein the server-side 11 includes:
Central processing unit 111, and connect with the central processing unit 111 neural network recognization unit 112,
Training data library unit 113, real-time data memory unit 114 and network communication unit 115；The training data library unit 113
It is connected with the real-time data memory unit 114；
The central processing unit 111 receives described image acquisition device 122 by the network communication unit 115 and returns
Spinning status image and be stored into the real-time data memory unit 114, control the neural network recognization unit 112 and utilize
113 pairs of training of the training data library unit obtain spinning state recognition neural network model, and pass through the described of training in advance
Spinning state recognition neural network model knows the spinning status image in the real-time data memory unit 114
Not, to judge whether current spinning operating status is normal.
The server-side 11 further includes the fault warning unit 116 connecting with the central processing unit 111；
When there is abnormality, the central processing unit 111 generates abnormality police according to the abnormality
Report instruction；It include the spinning for the corresponding spinning machine and the spinning machine of abnormality occur in the abnormality alarm command
Operating status；
The fault warning unit 116 carries out warning note according to the abnormality alarm command.
It is above-mentioned, in real-time data memory unit 114, what the image collecting device 122 being stored in each terminal 12 returned
Spinning status image, after identification is stored in training data library unit 113 with tagged spinning status image and its correspondence
Feature.In neural network recognization unit 112, it is stored with the spinning state recognition neural network model of generation.
When being trained, carried out by neural network recognization unit 112 using the data in training data library unit 113
Training, obtains spinning state recognition neural network model, and then to the spinning shape got in real-time data memory unit 114
State image is identified, and after end of identification, the spinning status image with mark and feature after the identification is stored
Enter the training data library unit 113, more new model when having the function that further trained.
Above-mentioned, fault warning unit 116 is set to server-side 11, for finding that spinning machine breaks down by image recognition
Afterwards, warning note is carried out according to the abnormality alarm command.It is achieved thereby that operation maintenance personnel, real-time by warning note
The spinning machine for finding out failure is oriented fault zone and failure problems in real time, is solved the problems, such as in real time, to be operation maintenance personnel
The monitoring of more spinning machines in workshop is provided convenience.
Embodiment 3:
With reference to Fig. 3-4, based on the above embodiment 1, the present embodiment provides a kind of spinning machine based on image recognition technology therefore
Hinder monitoring system 1, the terminal 12 further includes brightness regulating apparatus 123；
The brightness regulating apparatus 123 includes the first light sensor 123a set on spinning window region, and described
The adjusting processor 123b that first light sensor 123a is electrically connected, and connect with the adjusting processor 123b, and
For carrying out the supplementary lighting sources of light filling to spinning window region when described image acquisition device 122 carries out Image Acquisition
123c；
When described image acquisition device 122 carries out Image Acquisition, the adjusting processor 123b controls first light
Line sensor 123a acquires the first light data information, and generates light filling instruction, root according to the first light data information
The supplementary lighting sources 123c, which is controlled, according to light filling instruction carries out light filling.
Described image acquisition device 122 further includes the second light sensor at described image acquisition device 122
123d；The second light sensor 123d is connect with the adjusting processor 123b；
When described image acquisition device 122 carries out Image Acquisition, the adjusting processor 123b controls first light
Line sensor 123a acquires the first light data information, controls the second light sensor 123d and acquires the second light data letter
Breath；
The adjusting processor 123b is generated according to the first light data information and the second light data information
One comprehensive light filling instruction controls the supplementary lighting sources 123c according to the comprehensive light filling instruction and carries out light filling.
Above-mentioned, when carrying out Image Acquisition, when being especially acquired still image, the clarity of image influences further
The accuracy of identification.Also, the light intensity of image directly affects image collecting device 122 to the spinning in spinning window region
The image definition of the acquisition of the image of state.
In spinning workshop, due to needing to keep ventilation and convenient for monitoring artificial and by machine, being equipped with window in varying numbers
Family and light, different time lead to have different light conditions in workshop, so carrying out image collecting device
In 122 image acquisition process, if in the unfixed situation of light conditions, still using original unalterable shooting ginseng
Number carries out image acquisition, then will lead to the decline of Image Acquisition clarity, situations such as fuzzy, diplopia occur, cause further to scheme
As recognition failures, the accuracy of image recognition is greatly reduced.
In the present embodiment, by the way that light sensor is arranged, to get the light of current region when carrying out image acquisition
Line data information, in order to carry out appropriate light filling by supplementary lighting sources 123c according to light data information.
Further, multiple light sensors can be equipped with, for example, being equipped with the first light sensor in spinning window region
123a is equipped with the second light sensor 123d, by camera in order to get the first light data in region to be collected
The second light data information at information and capture apparatus, comprehensive two light data informations are generated and are mended for the comprehensive of light filling
Light instruction, and light filling is carried out according to instruction.In addition, supplementary lighting sources 123c may be set to be it is multiple, for example, by camera
A projection LED light source is respectively set in two sides, carries out light filling to spinning window region, light filling effect can be improved, further increase figure
Image definition when as acquisition.
Embodiment 4:
With reference to Fig. 5, based on the above embodiment 1, the spinning machine failure based on image recognition technology that the present embodiment provides a kind of
Monitoring system 1, the terminal 12 further include user login management device 124；
The user login management device 124 includes control request unit 124a and the control request unit
The authentication processing unit 124b that 124a and the server-side 11 are all connected with, and recognize with what the authentication processing unit 124b was connect
Demonstrate,prove image acquisition units 124c；
After the control request unit 124a receives manual control instruction, the authentication processing unit 124b control
The authentication image acquisition unit 124c carries out carrying out Image Acquisition to user to be certified, obtains authentication image；
The authentication processing unit 124b is according to the characteristic information in the authentication feature database of the server-side 11 to institute
It states authentication image and carries out image recognition；After confirming the corresponding user to be certified of the authentication image to have authenticated user, to institute
It states control device 121 and sends control right transfer instruction, in order to be instructed according to the control right transfer, reception has authenticated user's hair
The instruction sent controls the control device 121.
Above-mentioned, every spinning machine may include two kinds of control modes, respectively by server-side 11 for every spinning machine
Automatic control mode, and by manually acquiring the right of control, to carry out artificial control model.
In failure situation or when being manually adjusted, need to obtain artificial control, in spinning workshop
In, if each spinning machine can arbitrarily cancel automatic control power, random off-line operation then may be by amateur or non-
Operation maintenance personnel is operated, and easily causes that equipment goes wrong or a large amount of quality problems occurs in spinning, cause O&M cost and
Production cost greatly increases, especially when carrying out to expensive Raw material processing, caused by lose it is more considerable.
So in the present embodiment, by the way that a user login management device 124 is arranged in each terminal 12, in order to need
When user being wanted to carry out obtaining artificial control, user is authenticated first, is determining that user is the operation maintenance personnel authenticated
When, just by control right transfer, realization is manually controlled.
The present embodiment kind, authentication image acquisition unit 124c can be the operating area towards operation maintenance personnel, to will grasp
The user to be certified made carries out Image Acquisition, to obtain authentication image, and by neural network model trained in advance, to certification
Facial characteristics, limbs feature or other features of user to be certified included in image identify, to determine that this is to be certified
User is certification user.After the corresponding user to be certified of confirmation authentication image is to have authenticated user, sent to control device 121
Control right transfer instruction, in order to which according to the instruction, the instruction that reception has authenticated user's transmission carries out the control device 121
Control.
Embodiment 5:
With reference to Fig. 6, based on the above embodiment 1, the spinning machine failure based on image recognition technology that the present embodiment provides a kind of
Monitoring system 1, the terminal 12 further include temperature sensor 125；The server-side 11 includes processing unit；
The temperature sensor 125 is set in spinning window region, and the processing list with the server-side 11
Member connection；
The temperature sensor 125 is in real time or the current temperature data in spinning window region described in timing acquisition；The place
After reason unit receives the current temperature data, the temperature data is compared with preset temperature threshold, if the temperature
Degree then generates temperature control instruction according to the preset temperature threshold is exceeded；Instruct the control spinning machine corresponding according to the temperature control
The control device 121 carry out temperature debugging.
Further, the terminal 12 further includes infrared sensor 126；The server-side 11 includes processing unit；
The infrared sensor 126 is connect with the processing unit of the server-side 11；
The infrared sensor 126 is set in spinning window region；
The processing unit by the infrared sensor 126 in spinning window region spinning position and/or spinning
Fiber barrel pipe position carries out in real time or timing detects, if the spinning position and/or spinning bucket pipe position exceed predeterminated position range,
Then generate a warning instruction；The corresponding control device 121 of the control spinning machine is instructed to be debugged according to the warning.
Above-mentioned, spinning machine (spinning machine of chemical fibre) is that one kind makes fibre-forming polymer solution
Or the machine of melt composition filiform.According to fiber spinning processes difference, spinning machine be divided into wet-spinning frame, melt spinning machine,
Air spinning machine three types.And solution spinning machine, the spinning equipment for terylene, polyamide fibre and polypropylene fibre etc..Feature is that melt is thin
Wind solidificating fiber, cold wind are equably to blow to thread after high efficiency particulate air filter, regulating valve, guiding device to stream to the cold.Spinning
Speed is higher, and generally 600~1500 ms/min.Melt spinning machine also there are two types of.
So the temperature environment in spinning window has very the quality of spinning machine operating status and spinning when spinning
Big influence.In the present embodiment, by the way that temperature sensor 125 is arranged in spinning window region, to obtain the region in real time
Interior current temperature data, and according to preset temperature threshold judge the current temperature data whether be normal condition temperature, such as
There is exception in fruit, then is debugged by controlling the corresponding control device 121 of the spinning machine, in order to pass through temperature in real time
Carry out the monitoring to spinning machine operating status.
Bobbin is equipped in spinning window, by the spinning being prepared according to certain speed rotating collection, and in spinning window
Spinning, which is stretched or condensed according to certain way, becomes fiber, becomes finished product spinning.Different components is set in different regions,
If there is component mistake, for example, the spinning in the bobbin appearance displacement of spinning, bobbin occurs dislocation during the winding process and causes
There is stretcher strain unsuccessfully etc. after generation in off-axis, spinning, all can appearance position variation, it is red by being arranged in the present embodiment
Outer sensor 126 monitors each component in spinning window in real time, if there is the change in location of particular elements, if described
Spinning position and/or spinning bucket pipe position exceed predeterminated position range, then generate a warning instruction；It is instructed and is controlled according to the warning
The corresponding control device 121 of the spinning machine is made to be debugged.
In the present embodiment, the running temperature in spinning window region is monitored by the way that temperature sensor 125 is arranged, is passed through
Infrared sensor 126 is set, each component, that is, spinning finished product position in spinning window region is monitored in real time, thus spinning
When different faults problem occurs in silk machine, corresponding fault message can be obtained in real time, and adjusted according to corresponding fault message
Examination reduces the increase of the production cost as caused by failure.
Embodiment 6:
With reference to Fig. 7, based on the above embodiment 1, the spinning machine failure based on image recognition technology that the present embodiment provides a kind of
Monitoring system 1, the spinning machine fault monitoring system 1 further include photovoltaic devices 13；
The photoelectric conversion that the photovoltaic devices 13 include photovoltaic solar panel 131, connect with the photovoltaic solar panel 131
Circuit 132, the hub 133 being connect with the photoelectric conversion circuit 132；
The control device 121 and image collecting device 122 of the terminal 12 of each spinning machine are electrical with the hub 133
Connection, in order to be powered by the photovoltaic devices 13.
Further, the photovoltaic devices 13 further include secondary battery unit group 134；
The secondary battery unit group 134 is electrically connected with the photoelectric conversion circuit 132 and the hub 133.
Above-mentioned, each spinning machine is designed with a terminal 12 connecting with server-side 11, includes control dress in terminal 12
121 and image collecting device 122 are set, and other equipment or data sampling sensor can also be set as needed.Due to
In the operational process of spinning machine, the voltage status of held stationary is needed, just can guarantee the quality for the finished product spinning produced, and volume
Outer increased terminal 12, due to needing interact with the transmission of the data of server-side 11 in real time or itself needs is according to server-side
11 instruction carries out parameter adjustment, in the power supply source with spinning machine share common, may result in and occurs electricity in certain situation
Pressure is unstable, and then influences the quality problems for the finished product spinning produced.
In the present embodiment, the above problem is fully considered, the spinning machine that setting photovoltaic devices 13 are each in workshop is corresponding
Terminal 12 individually powered.On the one hand the influence caused by terminal 12 and the shared power supply of spinning machine to voltage is reduced, it is another
Aspect is powered by solar energy, provides clean energy resource for terminal 12, more environmentally-friendly.
Above-mentioned, photovoltaic solar panel 131 can be multiple plates in parallel or series, to achieve the effect that power supply.Photoelectricity turns
Change circuit 132 to connect with photovoltaic solar panel 131, to carry out photoelectric conversion, output power, and be exported by hub 133
In terminal 12 on electric power to each spinning machine；In addition, the deposit to electric power can be carried out by secondary battery unit group 134, with
Achieve the purpose that uninterrupted electric current.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
In all examples being illustrated and described herein, any occurrence should be construed as merely illustratively, without
It is as limitation, therefore, other examples of exemplary embodiment can have different values.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
Limitation of the scope of the invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art,
Without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to protection model of the invention
It encloses.Therefore, protection scope of the present invention should be determined by the appended claims.
Claims (10)
1. a kind of spinning machine fault monitoring system based on image recognition technology characterized by comprising
Server-side, and the terminal being set on each spinning machine being connect with the server-side；
The terminal includes the control device and image collecting device of the described server-side connection；
The control device is set on the spinning machine, for controlling for the working condition to the spinning machine；
Described image acquisition device, the position that the spinning operating status in spinning window region can be monitored in the spinning machine
It sets；
By described image acquisition device, the corresponding spinning state diagram of spinning operating status in spinning window region is obtained
Picture；After the server-side gets the spinning status image, the spinning status image is identified, to judge currently
Whether spinning operating status is normal；If current spinning operating status is abnormality, according to the abnormality to described
Control device send debugging instruction, in order to the control device according to the debugging instruction to the working condition of the spinning machine
It is debugged.
2. the spinning machine fault monitoring system based on image recognition technology as described in claim 1, which is characterized in that the service
End includes:
Central processing unit, and the neural network recognization unit, the tranining database list that are connect with the central processing unit
Member, real-time data memory unit and network communication unit；The training data library unit and the real-time data memory unit connect
It connects；
The central processing unit receives the spinning state diagram that described image acquisition device returns by the network communication unit
Picture is simultaneously stored into the real-time data memory unit, controls the neural network recognization unit and utilizes the training data library unit
Spinning state recognition neural network model is obtained to training, and passes through the spinning state recognition neural network mould of training in advance
Type identifies the spinning status image in the real-time data memory unit, to judge current spinning operating status
It is whether normal.
3. the spinning machine fault monitoring system based on image recognition technology as claimed in claim 2, which is characterized in that the service
End further includes the fault warning unit connecting with the central processing unit；
When there is abnormality, the central processing unit generates an abnormality alarm command according to the abnormality；
It include the spinning operation shape for the corresponding spinning machine and the spinning machine of abnormality occur in the abnormality alarm command
State；
The fault warning unit carries out warning note according to the abnormality alarm command.
4. the spinning machine fault monitoring system based on image recognition technology as described in claim 1, which is characterized in that the terminal
It further include brightness regulating apparatus；
The brightness regulating apparatus includes the first light sensor set on spinning window region, with first light level
The adjusting processor that device is electrically connected, and connect with the adjustings processor, and be used for described image acquisition device into
When row Image Acquisition, the supplementary lighting sources of light filling are carried out to spinning window region；
When described image acquisition device carries out Image Acquisition, the adjusting processor controls the first light sensor acquisition
First light data information, and light filling instruction is generated according to the first light data information, it is instructed and is controlled according to the light filling
It makes the supplementary lighting sources and carries out light filling.
5. the spinning machine fault monitoring system based on image recognition technology as claimed in claim 4, which is characterized in that described image
Acquisition device further includes the second light sensor at described image acquisition device；Second light sensor with it is described
Adjust processor connection；
When described image acquisition device carries out Image Acquisition, the adjusting processor controls the first light sensor acquisition
First light data information controls second light sensor and acquires the second light data information；
The adjusting processor generates a comprehensive benefit according to the first light data information and the second light data information
Light instruction controls the supplementary lighting sources according to the comprehensive light filling instruction and carries out light filling.
6. the spinning machine fault monitoring system based on image recognition technology as described in claim 1, which is characterized in that the terminal
It further include user login management device；
The user login management device includes control request unit, equal with the control request unit and the server-side
The authentication processing unit of connection, and the authentication image acquisition unit being connect with the authentication processing unit；
After the control request unit receives manual control instruction, the authentication processing unit controls the authentication image
Acquisition unit carries out carrying out Image Acquisition to user to be certified, obtains authentication image；
The authentication processing unit is according to the characteristic information in the authentication feature database of the server-side to the authentication image
Carry out image recognition；After confirming the corresponding user to be certified of the authentication image to have authenticated user, Xiang Suoshu control device
Control right transfer instruction is sent, in order to instruct according to the control right transfer, receives the instruction for having authenticated user's transmission to institute
Control device is stated to be controlled.
7. the spinning machine fault monitoring system based on image recognition technology as described in claim 1, which is characterized in that the terminal
It further include temperature sensor；The server-side includes processing unit；
The temperature sensor is set in spinning window region, and is connect with the processing unit of the server-side；
The temperature sensor is in real time or the current temperature data described in timing acquisition in spinning window region；The processing unit connects
After receiving the current temperature data, the temperature data is compared with preset temperature threshold, if the temperature data is super
The preset temperature threshold out then generates temperature control instruction；It is instructed according to the temperature control and controls the corresponding control of the spinning machine
Device processed carries out temperature debugging.
8. the spinning machine fault monitoring system based on image recognition technology as described in claim 1, which is characterized in that the terminal
It further include infrared sensor；The server-side includes processing unit；
The infrared sensor is connect with the processing unit of the server-side；
The infrared sensor is set in spinning window region；
The processing unit is by the infrared sensor to the spinning position and/or spinning bucket pipe position in spinning window region
It sets progress in real time or timing detects, if the spinning position and/or spinning bucket pipe position exceed predeterminated position range, generate one
Warning instruction；The corresponding control device of the control spinning machine is instructed to be debugged according to the warning.
9. the spinning machine fault monitoring system based on image recognition technology as described in claim 1, which is characterized in that the spinning
Machine fault monitoring system further includes photovoltaic devices；
The photovoltaic devices include photovoltaic solar panel, the photoelectric conversion circuit being connect with the photovoltaic solar panel, with it is described
The hub of photoelectric conversion circuit connection；
The control device and image collecting device of the terminal of each spinning machine are electrically connected with the hub, in order to pass through
The photovoltaic devices power supply.
10. the spinning machine fault monitoring system based on image recognition technology as claimed in claim 9, which is characterized in that the light
Lying prostrate device further includes secondary battery unit group；
The secondary battery unit group is electrically connected with the photoelectric conversion circuit and the hub.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811472777.2A CN109558852A (en) | 2018-12-04 | 2018-12-04 | A kind of spinning machine fault monitoring system based on image recognition technology |
| PCT/CN2019/071399 WO2020113773A1 (en) | 2018-12-04 | 2019-01-11 | Image recognition technology-based spinning machine fault monitoring system and method |
| TW108103926A TW202022516A (en) | 2018-12-04 | 2019-01-31 | Image recognition technology-based spinning machine fault monitoring system and method |
| CN201910608078.4A CN110175601B (en) | 2018-12-04 | 2019-07-08 | Spinning machine monitoring method, spinning machine monitoring equipment and spinning machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811472777.2A CN109558852A (en) | 2018-12-04 | 2018-12-04 | A kind of spinning machine fault monitoring system based on image recognition technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109558852A true CN109558852A (en) | 2019-04-02 |
Family
ID=65868728
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811472777.2A Pending CN109558852A (en) | 2018-12-04 | 2018-12-04 | A kind of spinning machine fault monitoring system based on image recognition technology |
| CN201910608078.4A Expired - Fee Related CN110175601B (en) | 2018-12-04 | 2019-07-08 | Spinning machine monitoring method, spinning machine monitoring equipment and spinning machine |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910608078.4A Expired - Fee Related CN110175601B (en) | 2018-12-04 | 2019-07-08 | Spinning machine monitoring method, spinning machine monitoring equipment and spinning machine |
Country Status (3)
| Country | Link |
|---|---|
| CN (2) | CN109558852A (en) |
| TW (1) | TW202022516A (en) |
| WO (1) | WO2020113773A1 (en) |
Cited By (6)
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| CN110184659A (en) * | 2019-05-31 | 2019-08-30 | 吴江朗科化纤有限公司 | A kind of detection device of synthetic fiber spinning technique the Silk Road |
| CN111738413A (en) * | 2020-06-04 | 2020-10-02 | 东华大学 | Spinning full-process energy consumption monitoring method based on feature self-matching transfer learning |
| CN112714411A (en) * | 2021-01-25 | 2021-04-27 | 中北大学 | Agricultural monitoring device with movable nodes |
| CN112858617A (en) * | 2021-02-04 | 2021-05-28 | 杭州绿洁环境科技股份有限公司 | Fault identification method and device of online water quality monitor |
| CN113899574A (en) * | 2021-09-26 | 2022-01-07 | 中国纺织科学研究院有限公司 | Fault detection method of cooling air blowing equipment and spinning equipment |
| EP3904572B1 (en) | 2020-04-30 | 2022-04-06 | Maschinenfabrik Rieter AG | Device and method for detecting a fault in a spinning mill and for estimating one or more sources of the fault |
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| WO2022112261A1 (en) * | 2020-11-25 | 2022-06-02 | Oerlikon Textile Gmbh & Co. Kg | Method for monitoring a machine installation, and machine installation for producing synthetic staple fibres |
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-
2018
- 2018-12-04 CN CN201811472777.2A patent/CN109558852A/en active Pending
-
2019
- 2019-01-11 WO PCT/CN2019/071399 patent/WO2020113773A1/en active Application Filing
- 2019-01-31 TW TW108103926A patent/TW202022516A/en unknown
- 2019-07-08 CN CN201910608078.4A patent/CN110175601B/en not_active Expired - Fee Related
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110184659A (en) * | 2019-05-31 | 2019-08-30 | 吴江朗科化纤有限公司 | A kind of detection device of synthetic fiber spinning technique the Silk Road |
| CN110184659B (en) * | 2019-05-31 | 2024-05-17 | 苏州朗科智能制造有限公司 | Detection device for chemical fiber spinning process yarn path |
| EP3904572B1 (en) | 2020-04-30 | 2022-04-06 | Maschinenfabrik Rieter AG | Device and method for detecting a fault in a spinning mill and for estimating one or more sources of the fault |
| CN111738413A (en) * | 2020-06-04 | 2020-10-02 | 东华大学 | Spinning full-process energy consumption monitoring method based on feature self-matching transfer learning |
| CN111738413B (en) * | 2020-06-04 | 2021-04-20 | 东华大学 | Spinning full-process energy consumption monitoring method based on feature self-matching transfer learning |
| CN112714411A (en) * | 2021-01-25 | 2021-04-27 | 中北大学 | Agricultural monitoring device with movable nodes |
| CN112714411B (en) * | 2021-01-25 | 2023-04-18 | 中北大学 | Agricultural monitoring device with movable nodes |
| CN112858617A (en) * | 2021-02-04 | 2021-05-28 | 杭州绿洁环境科技股份有限公司 | Fault identification method and device of online water quality monitor |
| CN113899574A (en) * | 2021-09-26 | 2022-01-07 | 中国纺织科学研究院有限公司 | Fault detection method of cooling air blowing equipment and spinning equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| TW202022516A (en) | 2020-06-16 |
| WO2020113773A1 (en) | 2020-06-11 |
| CN110175601B (en) | 2021-12-28 |
| CN110175601A (en) | 2019-08-27 |
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