CN115981256B - Cloud control system of magnetic steel stacking device - Google Patents
Cloud control system of magnetic steel stacking device Download PDFInfo
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- CN115981256B CN115981256B CN202211648517.2A CN202211648517A CN115981256B CN 115981256 B CN115981256 B CN 115981256B CN 202211648517 A CN202211648517 A CN 202211648517A CN 115981256 B CN115981256 B CN 115981256B
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- 229910000831 Steel Inorganic materials 0.000 title claims abstract description 26
- 239000010959 steel Substances 0.000 title claims abstract description 26
- 238000004026 adhesive bonding Methods 0.000 claims abstract description 65
- 238000001514 detection method Methods 0.000 claims abstract description 63
- 238000013527 convolutional neural network Methods 0.000 claims abstract description 30
- 238000003062 neural network model Methods 0.000 claims abstract description 28
- 238000004891 communication Methods 0.000 claims abstract description 15
- 239000003292 glue Substances 0.000 claims description 95
- 239000000428 dust Substances 0.000 claims description 41
- 230000009471 action Effects 0.000 claims description 22
- 238000000576 coating method Methods 0.000 claims description 19
- 239000011248 coating agent Substances 0.000 claims description 15
- 238000007599 discharging Methods 0.000 claims description 11
- 238000003892 spreading Methods 0.000 claims description 11
- 230000007480 spreading Effects 0.000 claims description 11
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000004140 cleaning Methods 0.000 claims description 2
- 230000005540 biological transmission Effects 0.000 claims 1
- 238000010073 coating (rubber) Methods 0.000 description 16
- 238000000034 method Methods 0.000 description 13
- SZVJSHCCFOBDDC-UHFFFAOYSA-N iron(II,III) oxide Inorganic materials O=[Fe]O[Fe]O[Fe]=O SZVJSHCCFOBDDC-UHFFFAOYSA-N 0.000 description 12
- 230000008569 process Effects 0.000 description 9
- 238000004519 manufacturing process Methods 0.000 description 8
- 238000001125 extrusion Methods 0.000 description 7
- 239000000463 material Substances 0.000 description 7
- 230000000694 effects Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000903 blocking effect Effects 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention relates to a cloud control system of a magnetic steel stacking device, and belongs to the technical field of automatic control. The device comprises a control terminal, a detection module, a cloud platform and a CNN neural network model, wherein the control terminal controls the detection module and the CNN neural network model, the control terminal of a plurality of magnetic steel stacking devices is in communication connection with the cloud platform, the detection module detects and acquires gluing data and transmits the gluing data to a CNN neural network model center, the CNN neural network model analyzes the gluing data to acquire error data and transmits the error data to the control terminal, the control terminal uploads the error data and working parameters of the devices to the cloud platform, and the cloud platform compares the error data of each magnetic steel stacking device and transmits the working parameters of the devices with the lowest error data to the control terminal of each device.
Description
Technical Field
The invention belongs to the technical field of automatic control, and particularly relates to a cloud control system of a magnetic steel stacking device.
Background
The magnetic steel is used as an important component in a motor, the efficiency of the motor is directly influenced, the processing of the magnetic steel is required to be performed by a gluing process, the existing magnetic steel gluing process is generally completed manually by manpower, the labor cost is high, the gluing position is inaccurate due to manual gluing, and the situation of uneven gluing is caused, so that a part of the magnetic steel protrudes out when the magnetic steel is stacked, or the situation that the magnetic steel protrudes in the stacking process due to uneven glue is caused, and the stacking precision of the magnetic steel is influenced, so that the use of the magnetic steel is influenced;
for example, publication No.: CN111558501 a, an intelligent magnetite spreading machine, which comprises a frame, the frame on be provided with loading attachment, manipulator device, rubber coating device, detection device and discharging device, manipulator device be used for snatching the magnetite on the loading attachment, and will the magnetite removes in proper order to rubber coating device and carries out rubber coating operation, detection device detects operation and discharging device and carries out the ejection of compact.
Above-mentioned intelligent magnetite spreading machine, through loading attachment material loading back, manipulator device snatchs magnetite on the loading attachment to will the magnetite removes in proper order to the spreading device and carries out the rubber coating operation, detection device detects operation and discharging device and carry out the ejection of compact, can realize automatic pan feeding, automatic rubber coating, automated inspection, automatic ejection of compact, convenient operation, with low costs, the magnetite yield is high. However, this magnetite spreading machine adopts the common gluing mechanism when the rubber coating, and can not fine control out the glue volume, and debug the position of rubber coating and glue volume etc. in advance when gluing to the magnetite, debugging is accomplished, the later rubber coating process can follow the good rubber coating action of debugging and carry out the rubber coating, lead to follow-up automatic rubber coated magnetite to all to carry out according to predetermineeing good rubber coating action, but, because common gluing mechanism can not control out the glue volume in the rubber coating process, so in the in-process of magnetite automatic rubber coating, cause out the glue volume to receive the influence by glue blocking up out glue mouth etc. at gluing mechanism, follow-up automatic rubber coated magnetite can receive the influence, at this moment can only shut down and debug the rubber coating action again until the debugging is accomplished, this can influence the work efficiency of spreading machine, and take a large amount of time and energy in the debugging process, and when many intelligent rubber coating equipment of control is carried out joint production by high in the cloud end because the rubber coating effect is not good to carry out the time delay a large amount of time to it again, let whole joint production's efficiency reduce, and all need to reduce the intelligent equipment of production efficiency, each needs to debug in case, each of the production efficiency can be reduced.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a cloud control system of a magnetic steel stacking device, which solves the problems that a large amount of time is required to be spent for debugging if the glue coating amount is inconsistent with the preset value in the glue coating process of the existing glue coating machine, and meanwhile, the production efficiency is reduced due to the need of re-debugging in the glue coating process when a plurality of devices are produced in a combined mode.
The aim of the invention can be achieved by the following technical scheme: the cloud control system of the magnetic steel stacking device comprises a control terminal, a detection module, a cloud platform and a CNN neural network model, wherein the control terminal is used for controlling the detection module and the CNN neural network model, the control terminal of the magnetic steel stacking device is in communication connection with the cloud platform, the detection module is used for detecting and acquiring gluing data and transmitting the gluing data to the center of the CNN neural network model, the CNN neural network model is used for analyzing the gluing data and acquiring error data and transmitting the error data to the control terminal, the control terminal is used for uploading the error data and the working parameters of the equipment to be tested to the cloud platform, and the cloud platform is used for comparing the error data of the magnetic steel stacking devices and transmitting the working parameters of the equipment with the lowest error data to the control terminal of the equipment.
As a preferred technical scheme of the invention, the control terminal is also in communication connection with an execution module, the control terminal transmits the received working parameters to the execution module, and the execution module executes actions according to the working parameters and feeds back signals to the control terminal.
As a preferable technical scheme of the invention, the execution module comprises a feeding module, a manipulator, a gluing module and a stacking module, wherein the feeding module, the manipulator, the gluing module and the stacking module are all in communication connection with a control terminal.
As a preferable technical scheme of the invention, the glue spreading module comprises a glue discharging module and a glue extruding module, the glue extruding module extrudes glue from a rubber pipe to the glue discharging module, and the product grasped by the mechanical arm is spread on the glue discharging module.
As a preferable technical scheme of the invention, the glue extruding module comprises a glue extruding device and a stepping motor, wherein the stepping motor is in driving connection with the glue extruding device, and the stepping motor synchronously runs along with the glue coating action of the manipulator.
As a preferred technical scheme of the invention, the execution module further comprises a dust removal module, and the dust removal module removes dust on the gluing surface of the product.
As a preferable technical scheme of the invention, the dust removing module comprises a dust collecting unit and a brush unit, wherein the brush unit is used for cleaning dust on a gluing surface of a product, and the dust collecting unit is used for absorbing floating dust.
As a preferable technical scheme of the invention, the feeding module comprises a position detection unit and a feeding detection unit, wherein the detection unit and the feeding detection unit are both in communication connection with the control terminal, the feeding detection unit detects the feeding condition of the product, and the position detection unit detects the feeding position of the product and transmits the position parameter of the product to the control terminal.
As a preferable technical scheme of the invention, the stacking module comprises an accuracy detection unit and a blanking unit, wherein the accuracy detection unit and the blanking unit are both in communication connection with the control terminal, the blanking unit is used for bearing stacked products, and the accuracy detection unit detects the stacking position of the products and transmits the result to the CNN neural network model.
As a preferable technical scheme of the invention, the control terminal is also in communication connection with an alarm module, the alarm module alarms the abnormal condition of the equipment and transmits an alarm signal to the control terminal, and the control terminal stops working and controls the alarm lamp to flash after receiving the alarm signal.
The beneficial effects of the invention are as follows: the gluing data obtained through the detection module are analyzed through the CNN neural network model to obtain error data, the error data are transmitted to the control terminal, the control terminal uploads the error data and the working parameters of the equipment to the cloud platform, the cloud platform processes and compares the error data of each equipment, the equipment working parameters with the lowest error data are transmitted to each equipment, each equipment operates according to the received working parameters to improve the yield, the error probability is reduced, meanwhile, the gluing process can be adjusted through the received working parameters, the situation that the equipment is debugged again due to shutdown when the gluing situation is bad is avoided, the debugging time is shortened, and the working efficiency of the equipment is improved.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a diagram of a cloud control system according to the present invention;
FIG. 2 is a block diagram of an execution module of the present invention;
FIG. 3 is a schematic diagram of the present invention;
Detailed Description
In order to further describe the technical means and effects adopted by the invention for achieving the preset aim, the following detailed description is given below of the specific implementation, structure, characteristics and effects according to the invention with reference to the attached drawings and the preferred embodiment.
Referring to fig. 1-3, the present embodiment provides a cloud control system of a magnetic steel stacking device, including a control terminal, a detection module, a cloud platform and a CNN neural network model, when joint production is performed, the control terminal controls the detection module and the CNN neural network model, the detection module detects the glue spreading condition of a product, the obtained glue spreading data is transmitted to the CNN neural network model, the glue spreading data is compared with a preset glue spreading glue by the CNN neural network model, the compared error data is obtained, the error data is transmitted to the control terminal, the control terminal uploads the error data and the working parameters of the equipment to the cloud platform, the cloud platform receives the error data and the working parameters uploaded by the equipment of the joint production, and screens out the equipment with the lowest error data by comparing the error data of the equipment, the working parameters of the equipment are transmitted to the control terminal of the equipment for joint production, the error data of the equipment are compared through the cloud platform, so that the working parameters of the equipment with the minimum error data are transmitted to the equipment, the error probability of the equipment is reduced, the working efficiency of the equipment is improved, the gluing efficiency can be ensured through the working parameters of the equipment with low error data, the accumulated error caused by overlong running time of the equipment under the same procedure all the time is avoided, the equipment needs to be debugged again after running for a period of time, the manpower and material resources are wasted, the error of each equipment is probably not the same when the equipment is produced jointly, the time required for debugging is more, the situation can be reduced through the CNN neural network model and the cloud platform, the work efficiency of the equipment is improved.
In order to execute the working parameters received by the control terminal, in an embodiment, the control terminal is also in communication connection with an execution module, and the execution module executes the working parameters received by the control terminal, so that the equipment can better execute the same action according to the equipment with low error data, and the working efficiency is improved.
In order to better complete the gluing, in an embodiment, the execution module includes a feeding module, a manipulator, a gluing module and a stacking module, after the execution module receives the working parameters transmitted by the control terminal, the execution module starts to execute the execution action, at this time, the feeding module starts to feed, the manipulator grabs the product from the feeding module, starts gluing the product on the gluing module, the gluing is completed, the product is moved to the detection module to start detection, the detection module will collect the gluing data of the product and transmit the gluing data to the CNN neural network model, after the detection is completed, the manipulator moves the product to the stacking module to stack, and after the stacking is completed, the execution module transmits the working parameters to the control terminal.
In order to better complete gluing, in an embodiment, the gluing module comprises a glue outlet module and a glue extrusion module, the glue extrusion module extrudes glue from a rubber pipe to the glue outlet module, a product grasped by a manipulator is glued on the glue outlet module, the glue outlet module is divided into the glue outlet module and the glue extrusion module, the glue outlet module is communicated with the glue extrusion module through the rubber pipe, the glue extrusion module is placed in a place where the glue is easy to add, when the glue in the glue extrusion module is about to run out, the glue can be conveniently added, and the glue extrusion module can be placed in a corner of equipment, so that the equipment can be added without stopping because the manipulator is operated when the glue is added, the working time of the equipment is delayed, and the working efficiency of the equipment is reduced.
In order to better control the glue outlet amount of the glue extruding device, in an embodiment, the glue extruding module comprises the glue extruding device and a stepping motor, the glue extruding device is controlled by the stepping motor to extrude glue, the stepping motor synchronously operates along with the glue coating action of the manipulator, when the manipulator starts to carry out the glue coating action, the stepping motor starts to rotate along with the glue coating action of the manipulator, the glue extruding device can discharge glue along with the operation of the stepping motor through the stepping motor, and when the manipulator stops the glue coating action, the stepping motor also stops along with the manipulator, and the glue extruding device does not discharge glue any more at the moment, so that the glue outlet amount of glue in the glue coating process of a product can be well controlled, and the waste of the glue is reduced.
In order to better coat the glue on the product, in an embodiment, the execution module further comprises a dust removal module, the mechanical arm grabs the product to remove dust from the dust removal module before coating the glue, the dust removal module removes dust from the product, the glue coating surface of the product becomes smooth, and poor glue coating effect caused by dust can not occur when the product is coated with the glue, so that error data is increased, and the yield of equipment is reduced.
In order to better remove dust on the product, in an embodiment, the dust removing module comprises a dust collecting unit and a brush unit, the dust collecting unit absorbs the dust while the brush unit brushes away the dust on the gluing surface of the product, so that the dust cannot fly inside the equipment along with the brush unit, and a large amount of dust exists on the subsequent product and affects the operation of the equipment.
For better adaptation not unidimensional product, in an embodiment, the material loading module includes position detection unit and material loading detection unit, the material loading condition of material loading detection unit detection product, position detection unit detects the material loading position of product and transmits the position parameter of product to control terminal, the manipulator is from control terminal department receiving product position parameter snatchs the product, let not unidimensional product all can detect the position and snatch it accurately through position detection unit, this just can let an equipment be applicable to different products, can pile up neatly to it when changing the product, need not extra design just can accomplish pile up neatly process, the cost that different products need be spent has been reduced, simultaneously reduce the assembly time and the debugging time of the different equipment of the needs of different products, work efficiency has been improved.
In order to stack the products after the gluing, in an embodiment, the stacking module comprises a precision detection unit and a blanking unit, the manipulator stacks the products after the gluing on the blanking unit, the precision detection unit detects the products stacked by the manipulator and transmits detection results to the CNN neural network model, the precision of stacking is detected by the precision detection unit, the detection results are transmitted to the CNN neural network model, the stacking precision of each time is compared and analyzed by the CNN neural network model, all operating parameters which are operated when the previous stacking precision is the highest during each time of stacking are ensured, the stacking error is reduced, and the working efficiency is improved.
In order to prevent secondary damage caused by timely stopping the equipment when accidents occur, in an embodiment, the control terminal further comprises an alarm module, the alarm module alarms when abnormal conditions occur to the equipment and transmits alarm signals to the control terminal, the control terminal receives the alarm signals and then stops working and controls the alarm lamp to flash, if the equipment is in operation, due to the fact that some unexpected factors cause factors such as stopping occur in operation of one module, the alarm module transmits signals to the control terminal, and the control terminal stops controlling the equipment and enables the alarm lamp to flash until the alarm signals are released after receiving the alarm signals.
The cloud control system of the invention has the following working procedures and principles: the method comprises the steps that S1 is executed when equipment starts, and an execution module receives a signal of a control terminal to start executing actions;
s2, after the execution action is started, feeding the product from a feeding module, wherein a feeding detection unit in the feeding module detects the feeding condition of the product;
s3, after the product is fed into place, a position detection unit in the feeding module detects the feeding position of the product and transmits the position parameter of the product to the control terminal, and a mechanical arm receives the position parameter of the product from the control terminal to grasp the product;
s4, after the product grabbing is completed, the dust removing module removes dust on the gluing surface of the product, wherein the dust removing module comprises a dust collecting unit and a brush unit, the brush unit brushes away dust on the gluing surface of the product and adsorbs the dust, so that the dust cannot fly inside the equipment along with the brush unit to cause a large amount of dust on the subsequent product and influence the operation of the equipment;
s5, gluing the product after dust removal is finished, wherein the glue extruding module in the glue extruding module comprises a glue extruding device and a stepping motor, the glue extruding device is controlled by the stepping motor to extrude glue, the stepping motor synchronously operates along with the glue coating action of the manipulator, when the manipulator starts to carry out the glue coating action, the stepping motor starts to rotate along with the glue coating action of the manipulator, the glue extruding device can output glue along with the operation of the stepping motor through the stepping motor, and when the manipulator stops the glue coating action, the stepping motor stops along with the manipulator, and the glue extruding device does not output glue any more at the moment, so that the glue output in the glue coating process of the product can be well controlled, and the waste of glue is reduced;
s6, detecting the gluing condition of the product after gluing is completed, enabling a mechanical arm to grasp the product, detecting the gluing quantity and the gluing thickness of the product on a detection module, recording gluing data, and transmitting the gluing data to a CNN neural network model;
s7, stacking the detected products on a blanking unit in a stacking module by using a mechanical arm;
s8, detecting the precision of the products stacked on the blanking unit by a precision detection unit in the stacking module, and transmitting working parameters to a control terminal by an execution module after the detection is completed;
the detection module transmits the gluing data obtained after detection to the CNN neural network model;
the CNN neural network model compares the obtained gluing data with preset gluing data to obtain errors between the two, and transmits error data to a control terminal;
the control terminal uploads the error data and the working parameters of the equipment to the cloud platform;
the cloud platform compares the error data uploaded by each device, compares the error data to obtain the lowest error rate, and transmits the working parameters of the device to the control terminal of each device;
and J5, each device is input into an execution module according to the working parameters received by the control terminal, and the execution module starts to execute the action according to the working parameters.
The present invention is not limited to the above embodiments, but is capable of modification and variation in detail, and other modifications and variations can be made by those skilled in the art without departing from the scope of the present invention.
Claims (5)
1. Cloud control system of magnet steel pile up neatly device, its characterized in that: the system comprises a control terminal, a detection module, a cloud platform and a CNN neural network model, wherein the control terminal is in communication connection with the detection module and the CNN neural network model, the control terminal of a plurality of magnetic steel stacking devices is in communication connection with the cloud platform, the detection module detects and acquires gluing data and transmits the gluing data to a CNN neural network model center, the CNN neural network model analyzes the gluing data to acquire error data and transmits the error data to the control terminal, the control terminal uploads the error data and the working parameters of the equipment to the cloud platform, and the cloud platform compares the error data of each magnetic steel stacking device and transmits the working parameters of the equipment with the lowest error data to the control terminal of each equipment;
the control terminal is also in communication connection with an execution module, the control terminal transmits the received working parameters to the execution module, and the execution module executes actions according to the working parameters and feeds back signals to the control terminal;
the execution module comprises a feeding module, a manipulator, a gluing module and a stacking module, wherein the feeding module, the manipulator, the gluing module and the stacking module are all in communication connection with the control terminal;
the glue spreading module comprises a glue discharging module and a glue extruding module, the glue extruding module extrudes glue from a rubber pipe to the glue discharging module, and the product grabbed by the manipulator is spread on the glue discharging module;
the feeding module comprises a position detection unit and a feeding detection unit, wherein the detection unit and the feeding detection unit are both in communication connection with the control terminal, the feeding detection unit detects the feeding condition of the product, and the position detection unit detects the feeding position of the product and transmits the position parameter of the product to the control terminal;
the stacking module comprises an accuracy detection unit and a blanking unit, the accuracy detection unit and the blanking unit are both in communication connection with the control terminal, the blanking unit is used for bearing stacked products, and the accuracy detection unit detects the stacking position of the products and transmits the result to the CNN neural network model;
the cloud control system comprises the following steps:
s1: starting, wherein the execution module starts to execute the action after receiving the signal of the control terminal;
s2: feeding, namely feeding the product from a feeding module, and detecting the feeding condition of the product by a feeding detection unit in the feeding module;
s3: grabbing, wherein a position detection unit in the feeding module detects the feeding position of the product and transmits the position parameter of the product to the control terminal, and a mechanical arm receives the position parameter of the product from the control terminal to grab the product;
s4: the dust removal module removes dust on the gluing surface of the product;
s5: gluing, wherein a gluing module is used for gluing the product;
s6: detecting, namely detecting the gluing quantity and the gluing thickness of the product on a detection module, recording gluing data, and transmitting the gluing data to a CNN neural network model;
s7: discharging, wherein the mechanical arm stacks the detected products on a discharging unit in the stacking module;
s8: uploading blanking precision data, detecting the precision of the stacked products on the blanking unit by a precision detection unit, and transmitting working parameters to a control terminal by an execution module after the detection is completed;
j1: after the step S6 is executed, the step is synchronously executed, transmission is carried out, and the detection module transmits the gluing data obtained after detection to the CNN neural network model;
j2: comparing the error, comparing the obtained gluing data with preset gluing data by using the CNN neural network model to obtain the error between the two, and transmitting the error data to a control terminal;
j3: uploading error data, and uploading the error data and working parameters of the equipment to a cloud platform by a control terminal;
j4: obtaining accurate equipment working parameters, comparing error data uploaded by each piece of equipment by the cloud platform, comparing the error data to obtain the lowest error rate, and transmitting the working parameters of the equipment to a control terminal of each piece of equipment;
j5: and executing again, wherein each device is input into the execution module according to the working parameters received by the control terminal, and the execution module starts to execute the action according to the working parameters.
2. The cloud control system of a magnetic steel stacking device according to claim 1, wherein: the glue extruding module comprises a glue extruding device and a stepping motor, wherein the stepping motor is in driving connection with the glue extruding device, and the stepping motor synchronously runs along with the glue coating action of the manipulator.
3. The cloud control system of a magnetic steel stacking device according to claim 1, wherein: the execution module further comprises a dust removal module, and the dust removal module removes dust on the gluing surface of the product.
4. A cloud control system for a magnetic steel palletizing device according to claim 3, wherein: the dust removal module comprises a dust collection unit and a brush unit, wherein the brush unit is used for cleaning dust on a gluing surface of a product, and the dust collection unit is used for absorbing floating dust.
5. The cloud control system of a magnetic steel stacking device according to claim 1, wherein: the control terminal is also in communication connection with an alarm module, the alarm module alarms the abnormal condition of the equipment and transmits an alarm signal to the control terminal, and the control terminal stops working and controls the alarm lamp to flash after receiving the alarm signal.
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| CN202211648517.2A CN115981256B (en) | 2022-12-19 | 2022-12-19 | Cloud control system of magnetic steel stacking device |
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| CN202211648517.2A CN115981256B (en) | 2022-12-19 | 2022-12-19 | Cloud control system of magnetic steel stacking device |
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| CN114035466A (en) * | 2021-11-05 | 2022-02-11 | 肇庆高峰机械科技有限公司 | Control system of duplex position magnetic sheet arrangement machine |
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Denomination of invention: A Cloud based Control System for a Magnetic Steel Stacking Device Effective date of registration: 20231229 Granted publication date: 20230808 Pledgee: Bank of China Limited Zhaoqing branch Pledgor: Zhaoqing Gaofeng Machinery Technology Co.,Ltd. Registration number: Y2023980075400 |