CN114660321B - Motor bearing rotating speed measuring system - Google Patents
Motor bearing rotating speed measuring system Download PDFInfo
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- CN114660321B CN114660321B CN202210286574.4A CN202210286574A CN114660321B CN 114660321 B CN114660321 B CN 114660321B CN 202210286574 A CN202210286574 A CN 202210286574A CN 114660321 B CN114660321 B CN 114660321B
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- G01—MEASURING; TESTING
- G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
- G01P3/00—Measuring linear or angular speed; Measuring differences of linear or angular speeds
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Abstract
The invention relates to a motor bearing rotating speed measuring system. The system comprises: the bearing measuring device is connected with a bearing of a stepping motor of the automatic carving machine and used for measuring whether the current rotating speed of the bearing is within a set rotating speed value interval or not; the automatic engraving machine comprises a stepping motor, multi-shaft engraving equipment, a touch screen computer, a chassis and a manual control switch; the piece-by-piece pushing machinery is used for sequentially pushing new devices to be engraved to the horizontal tray to replace the current devices to be engraved; and the intelligent analysis component is used for predicting the deepest engraving depth of the current device to be engraved based on the artificial intelligence prediction model. By the system, on the basis of hardware of the multi-axis engraving machine adopting an automatic control mode, an artificial intelligence prediction model with a targeted training and a targeted structure is introduced to realize prediction processing of engraving data of a current to-be-engraved device based on historical engraving data in a plurality of to-be-engraved devices in the same batch, so that the coping capability of the multi-axis engraving machine is enhanced.
Description
Technical Field
The invention relates to the field of bearing management, in particular to a motor bearing rotating speed measuring system.
Background
In the engraving machine, the stepping system is the most used driving system in the market at present, the most popular is the three-phase hybrid stepping motor, which accounts for more than 90% of the market share, the cost is low, and the effect is good after the fine-dividing driver is matched. But also the defects are more obvious, such as: resonance, noise, torque reduction due to increase of the rotating speed, easy step loss due to long-time work, excessive temperature rise of the motor and the like. In the prior art, in the actual engraving operation of a multi-axis engraving machine adopting an automatic control mode, due to device differences and mechanical structure characteristics, even for each device to be engraved in the same batch, the deepest engraving diameter depth of each current device to be engraved cannot be determined, so that a corresponding engraving control mechanism and a corresponding safety protection mechanism cannot be determined according to the deepest engraving diameter depth of the current device to be engraved.
Disclosure of Invention
In order to solve the technical problems in the prior art, the invention provides a motor bearing rotating speed measuring system which can introduce an artificial intelligence prediction model with a targeted training and a targeted structure on the basis of hardware of a multi-shaft engraving machine adopting an automatic control mode to realize prediction processing of engraving data of a current device to be engraved based on historical engraving data in a plurality of devices to be engraved in the same batch, so that the automation level of the whole engraving system is improved.
According to an aspect of the present invention, there is provided a motor bearing rotational speed measurement system, the system comprising:
the bearing measuring device is connected with a bearing of a stepping motor of the automatic carving machine and used for measuring whether the current rotating speed of the bearing is within a set rotating speed value interval or not;
the automatic carving machine comprises a stepping motor, a multi-shaft carving device, a touch screen computer, a chassis and a manual control switch, wherein a horizontal tray is arranged above the chassis and used for placing one of the devices to be carved in batches, the touch screen computer is connected with the stepping motor and used for controlling the working mode of the stepping motor, the multi-shaft carving device is connected with the stepping motor and used for being driven by the stepping motor to execute multi-shaft carving operation on the single device to be carved below the multi-shaft carving device, and the manual control switch is arranged on the side face of the chassis and used for executing manual control on the stepping motor;
the piece-by-piece pushing machinery is arranged on the side surface of the automatic engraving machine and used for pushing a new device to be engraved to the horizontal tray to replace the current device to be engraved after the automatic engraving machine finishes the multi-axis engraving operation of the current device to be engraved;
the depth measuring component is arranged above the horizontal tray, is connected with the piece-by-piece pushing machine and is used for measuring the carving depth of each position of the current device to be carved by adopting a radar measuring mechanism before the piece-by-piece pushing machine executes each pushing action and outputting the maximum value as the reference maximum value depth;
and the intelligent analysis component is connected with the diameter and depth measurement component and is used for taking a device to be carved of which the carving depth is to be predicted and which does not execute multi-axis carving as a target device, and executing the artificial intelligence prediction model by taking a plurality of reference maximum depths respectively corresponding to a plurality of devices to be carved before the target device as a plurality of input signals of the artificial intelligence prediction model to obtain a single output signal of the artificial intelligence prediction model, namely the reference maximum depth corresponding to the target device, and outputting the single output signal as the carving depth to be predicted.
The motor bearing rotating speed measuring system provided by the invention is stable in operation and can be timely responded. On the basis of hardware of the multi-axis engraving machine adopting an automatic control mode, an artificial intelligence prediction model with a targeted training and a targeted structure is introduced to realize prediction processing of engraving data of a current to-be-engraved device based on historical engraving data in a plurality of to-be-engraved devices in the same batch, so that the coping capability of the multi-axis engraving machine is enhanced.
Brief description of the drawings
The numerous advantages of the present invention may be better understood by those skilled in the art by reference to the accompanying drawings in which:
FIG. 1 is a block diagram of the internal structure of an artificial intelligence prediction model used in a motor bearing rotational speed measurement system according to the present invention.
Detailed Description
The use of the alternating current servo in the engraving machine is still less, the main reason is that the price is higher, in addition, the application of the alternating current servo has certain requirements on the structure, the electric appliance, the control system and the transmission system of a machine tool, just like the wooden barrel principle, the shortest plate determines the water containing amount of the wooden barrel, and the alternating current servo is generally applied to a high-end machine type. The AC servo includes: the system has the advantages of fast response, large moment, high rotating speed, high precision, less heat generation, continuous and long-time work, complete alarm system and the like. The disadvantages are as follows: different equipment uses different servo parameters, and adjusting the parameters requires a high level of technical engineers.
In the prior art, in the actual engraving operation of a multi-axis engraving machine adopting an automatic control mode, due to device differences and mechanical structure characteristics, even for each device to be engraved in the same batch, the deepest engraving diameter depth of each current device to be engraved cannot be determined, so that a corresponding engraving control mechanism and a corresponding safety protection mechanism cannot be determined according to the deepest engraving diameter depth of the current device to be engraved.
Compared with the prior art, the invention has the following main inventive concepts:
(1) adopting an artificial intelligence prediction model after targeted training to intelligently analyze the predicted deepest engraving diameter depth of the device to be engraved which is not engraved currently based on a plurality of deepest engraving diameter depths respectively corresponding to a plurality of devices to be engraved in the same batch of devices to be engraved, so as to provide reference information for subsequent actual engraving processing;
(2) the artificial intelligence prediction model used is based on a convolutional neural network and is obtained by the convolutional neural network through a plurality of times of training, wherein the total times of training are positively correlated with the maximum output power of a debouncing component, namely a stepping motor, for performing multi-axis carving.
The present invention will now be described in detail with respect to the disclosed subject matter.
FIG. 1 is an internal block diagram of an artificial intelligence prediction model used in a motor bearing speed measurement system according to the present invention.
The motor bearing rotating speed measuring system shown according to the embodiment of the invention comprises:
the bearing measuring device is connected with a bearing of a stepping motor of the automatic carving machine and used for measuring whether the current rotating speed of the bearing is within a set rotating speed value interval or not;
the automatic carving machine comprises a stepping motor, a multi-shaft carving device, a touch screen computer, a chassis and a manual control switch, wherein a horizontal tray is arranged above the chassis and used for placing one of the devices to be carved in batches, the touch screen computer is connected with the stepping motor and used for controlling the working mode of the stepping motor, the multi-shaft carving device is connected with the stepping motor and used for being driven by the stepping motor to execute multi-shaft carving operation on the single device to be carved below the multi-shaft carving device, and the manual control switch is arranged on the side face of the chassis and used for executing manual control on the stepping motor;
the piece-by-piece pushing machinery is arranged on the side surface of the automatic engraving machine and used for pushing a new device to be engraved to the horizontal tray to replace the current device to be engraved after the automatic engraving machine finishes the multi-axis engraving operation of the current device to be engraved;
the depth measuring component is arranged above the horizontal tray, is connected with the piece-by-piece pushing machine and is used for measuring the carving depth of each position of the current device to be carved by adopting a radar measuring mechanism before the piece-by-piece pushing machine executes each pushing action and outputting the maximum value as the reference maximum value depth;
and the intelligent analysis component is connected with the diameter and depth measurement component and is used for taking a device to be carved of which the carving depth is to be predicted and which does not execute multi-axis carving as a target device, and taking a plurality of reference maximum-value depths respectively corresponding to a plurality of devices to be carved before the target device as a plurality of input signals of an artificial intelligent prediction model to execute the artificial intelligent prediction model so as to obtain a single output signal of the artificial intelligent prediction model, namely the reference maximum-value depth corresponding to the target device, and outputting the single output signal as the carving depth to be predicted.
Next, a detailed description of the motor bearing rotation speed measuring system according to the present invention will be further described.
The motor bearing rotating speed measuring system can further comprise:
and the action regulating and controlling component is respectively connected with the radial depth measuring component and the piece-by-piece pushing mechanism and is used for realizing the synchronous control of the radial depth measuring component and the piece-by-piece pushing mechanism.
In the motor bearing rotational speed measurement system:
the touch screen computer comprises a microcontroller and a touch screen connected with the microcontroller, and the touch screen is used for receiving input of a user and sending a control instruction corresponding to the input of the user to the microcontroller.
In the motor bearing rotational speed measurement system:
and the touch screen computer is also connected with the intelligent analysis component and is used for displaying the received carving depth to be predicted on the touch screen.
In the motor bearing rotational speed measurement system:
the piece-by-piece pushing machine is internally provided with a first communication interface, and the automatic engraving machine is internally provided with a second communication interface used for establishing a wireless communication link between the second communication interface and the first communication interface.
In the motor bearing rotational speed measurement system:
the automatic carving machine is internally provided with a second communication interface, and the step of establishing a wireless communication link between the second communication interface and the first communication interface comprises the following steps: the wireless communication link is used for transmitting a synchronous control instruction to realize the action synchronization between the piece-by-piece pushing machine and the automatic carving machine.
In the motor bearing rotational speed measurement system:
the wireless communication link is used for transmitting a synchronous control instruction to realize action synchronization between the piece-by-piece pushing machine and the automatic carving machine and comprises the following steps: the sender of the synchronous control command is the automatic engraving machine.
In the motor bearing rotational speed measurement system:
the piece-by-piece pushing machine comprises a positioning unit, a mechanical arm and a main controller, wherein the main controller is respectively connected with the positioning unit and the mechanical arm, and the mechanical arm is further connected with the positioning unit.
In the motor bearing rotational speed measurement system:
the method comprises the following steps of taking a device to be engraved, which is not subjected to multi-axis engraving and has a engraving depth to be predicted, as a target device, executing an artificial intelligence prediction model by taking a plurality of reference maximum depths respectively corresponding to a plurality of devices to be engraved before the target device as a plurality of input signals of the artificial intelligence prediction model to obtain a single output signal of the artificial intelligence prediction model, namely the reference maximum depth corresponding to the target device, and outputting the single output signal as the engraving depth to be predicted, wherein the step of executing the artificial intelligence prediction model further comprises the following steps: the artificial intelligence prediction model is based on a convolutional neural network and is obtained by training the convolutional neural network for multiple times.
And in the motor bearing rotational speed measurement system:
the artificial intelligence prediction model is based on a convolutional neural network and is obtained by the convolutional neural network through a plurality of times of training, and the artificial intelligence prediction model comprises the following steps: the total number of trains is positively associated with the maximum output power of the stepper motor.
In addition, in the motor bearing rotational speed measurement system, the executing the artificial intelligence prediction model using a plurality of reference maximum depths respectively corresponding to a plurality of devices to be engraved before the target device as a plurality of input signals of an artificial intelligence prediction model to obtain a single output signal of the artificial intelligence prediction model, that is, a reference maximum depth corresponding to the target device, and outputting as the engraving depth to be predicted, includes: the number of the plurality of input signals of the artificial intelligence prediction model is monotonically positively correlated with the volume of the device to be engraved.
While the invention has been described in conjunction with specific embodiments thereof, it will be apparent to those skilled in the art that various modifications and variations can be made to the present invention without departing from the scope and spirit of the invention. Therefore, it should be understood that the above embodiments are not limitative, but illustrative in all aspects.
Claims (6)
1. A motor bearing rotational speed measurement system, the system comprising:
the bearing measuring device is connected with a bearing of a stepping motor of the automatic carving machine and used for measuring whether the current rotating speed of the bearing is within a set rotating speed value interval or not;
the automatic carving machine comprises a stepping motor, a multi-shaft carving device, a touch screen computer, a chassis and a manual control switch, wherein a horizontal tray is arranged above the chassis and used for placing one of the devices to be carved in batches, the touch screen computer is connected with the stepping motor and used for controlling the working mode of the stepping motor, the multi-shaft carving device is connected with the stepping motor and used for being driven by the stepping motor to execute multi-shaft carving operation on the single device to be carved below the multi-shaft carving device, and the manual control switch is arranged on the side face of the chassis and used for executing manual control on the stepping motor;
the piece-by-piece pushing machinery is arranged on the side surface of the automatic engraving machine and used for pushing a new device to be engraved to the horizontal tray to replace the current device to be engraved after the automatic engraving machine finishes the multi-axis engraving operation of the current device to be engraved;
the depth measuring component is arranged above the horizontal tray, is connected with the piece-by-piece pushing machine and is used for measuring the carving depth of each position of the current device to be carved by adopting a radar measuring mechanism before the piece-by-piece pushing machine executes each pushing action and outputting the maximum value as the reference maximum value depth;
the intelligent analysis component is connected with the diameter depth measurement component and is used for taking a to-be-carved device of which the carving depth is to be predicted and which is not subjected to multi-axis carving as a target device, and taking a plurality of reference maximum depths respectively corresponding to a plurality of to-be-carved devices before the target device as a plurality of input signals of an artificial intelligent prediction model to execute the artificial intelligent prediction model so as to obtain a single output signal of the artificial intelligent prediction model, namely the reference maximum depth corresponding to the target device, and outputting the single output signal as the carving depth to be predicted;
the artificial intelligence prediction model is based on a convolutional neural network and is obtained by training the convolutional neural network for multiple times, and the total times of training are positively associated with the maximum output power of the stepping motor;
the method comprises the steps that an artificial intelligence prediction model after targeted training is adopted, and the predicted deepest engraving diameter depth of a device to be engraved which is not engraved currently is intelligently analyzed on the basis of a plurality of deepest engraving diameter depths respectively corresponding to a plurality of devices to be engraved in the same batch of devices to be engraved after engraving is completed;
the action regulating and controlling component is respectively connected with the radial depth measuring component and the piece-by-piece pushing machinery and is used for realizing the synchronous control of the radial depth measuring component and the piece-by-piece pushing machinery;
the touch screen computer comprises a microcontroller and a touch screen connected with the microcontroller, wherein the touch screen is used for receiving input of a user so as to send a control instruction corresponding to the input of the user to the microcontroller.
2. The motor bearing speed measurement system of claim 1, wherein:
and the touch screen computer is also connected with the intelligent analysis component and is used for displaying the received carving depth to be predicted on the touch screen.
3. The motor bearing speed measurement system of claim 1, wherein:
the piece-by-piece pushing machine is internally provided with a first communication interface, and the automatic engraving machine is internally provided with a second communication interface used for establishing a wireless communication link between the second communication interface and the first communication interface.
4. A motor bearing speed measurement system according to claim 3, wherein:
the automatic carving machine is internally provided with a second communication interface, and the step of establishing a wireless communication link between the second communication interface and the first communication interface comprises the following steps: the wireless communication link is used for transmitting a synchronous control instruction to realize the action synchronization between the piece-by-piece pushing machine and the automatic carving machine.
5. The motor bearing speed measurement system of claim 4, wherein:
the wireless communication link is used for transmitting a synchronous control instruction to realize action synchronization between the piece-by-piece pushing machine and the automatic carving machine, and comprises the following steps: the sender of the synchronous control command is the automatic engraving machine.
6. The motor bearing speed measurement system of claim 1, wherein:
the piece-by-piece pushing machine comprises a positioning unit, a mechanical arm and a main controller, wherein the main controller is respectively connected with the positioning unit and the mechanical arm, and the mechanical arm is further connected with the positioning unit.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210286574.4A CN114660321B (en) | 2022-03-22 | 2022-03-22 | Motor bearing rotating speed measuring system |
| GBGB2210196.8A GB202210196D0 (en) | 2022-03-22 | 2022-07-12 | Motor bearing speed measurement system |
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| CN202210286574.4A CN114660321B (en) | 2022-03-22 | 2022-03-22 | Motor bearing rotating speed measuring system |
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| CN114660321B true CN114660321B (en) | 2022-09-20 |
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6421576B1 (en) * | 1996-09-04 | 2002-07-16 | Heidelberger Druckmaschinen Ag | Method and device to control an engraving device |
| CN101175594A (en) * | 2005-03-15 | 2008-05-07 | L·L·迪贝内德托 | Digitally-controlled engraving machine |
| CN201430723Y (en) * | 2009-07-02 | 2010-03-24 | 黄介军 | Digital control engraving machine |
| CN202115235U (en) * | 2011-06-23 | 2012-01-18 | 俞亚峰 | Intelligent numerical-control engraving machine for engraving doors |
| EP2585249A1 (en) * | 2010-06-28 | 2013-05-01 | Precitec KG | Method for closed-loop controlling a laser processing operation and laser material processing head using the same |
| CN206231134U (en) * | 2016-11-11 | 2017-06-09 | 新疆大学 | Combined type engraving machine |
| CN110197276A (en) * | 2018-02-27 | 2019-09-03 | 意法半导体国际有限公司 | The data volume bruin accelerated for deep learning |
| CN112004658A (en) * | 2018-04-26 | 2020-11-27 | 惠普发展公司，有限责任合伙企业 | Print production quality prediction |
| CN113448297A (en) * | 2021-07-28 | 2021-09-28 | 济南坤水机械有限公司 | Process management control system for production process of engraving machine accessories |
| CN214557831U (en) * | 2020-12-31 | 2021-11-02 | 江阴市精奇数控有限公司 | Automatic sorting device for saw cutting head and tail materials |
| CN113721866A (en) * | 2021-08-19 | 2021-11-30 | 东莞中国科学院云计算产业技术创新与育成中心 | Data acquisition system and method applied to 3D printing |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104570957A (en) * | 2015-02-02 | 2015-04-29 | 中山市大谷电子科技有限公司 | Intelligent numerical-control engraving machine controller |
| CN108490882A (en) * | 2018-05-21 | 2018-09-04 | 广东水利电力职业技术学院（广东省水利电力技工学校） | A kind of laser engraving machine, control system and control method |
| GB2580675A (en) * | 2019-01-23 | 2020-07-29 | Wheelright Ltd | Tyre sidewall imaging method |
| CN110254101B (en) * | 2019-07-25 | 2020-09-22 | 大连大学 | Novel superhard materials surface picture and text sculpture device |
| CN110472698B (en) * | 2019-08-22 | 2020-05-29 | 四川大学 | Metal additive forming penetration real-time prediction method based on depth and transfer learning |
| US11568656B2 (en) * | 2019-10-01 | 2023-01-31 | Lawrence Livermore National Security, Llc | 3D segmentation using space carving and 2D convolutional neural networks |
| US10769718B1 (en) * | 2020-02-19 | 2020-09-08 | Nicom Living LLC | Method, medium, and system for live preview via machine learning models |
-
2022
- 2022-03-22 CN CN202210286574.4A patent/CN114660321B/en active Active
- 2022-07-12 GB GBGB2210196.8A patent/GB202210196D0/en not_active Ceased
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6421576B1 (en) * | 1996-09-04 | 2002-07-16 | Heidelberger Druckmaschinen Ag | Method and device to control an engraving device |
| CN101175594A (en) * | 2005-03-15 | 2008-05-07 | L·L·迪贝内德托 | Digitally-controlled engraving machine |
| CN201430723Y (en) * | 2009-07-02 | 2010-03-24 | 黄介军 | Digital control engraving machine |
| EP2585249A1 (en) * | 2010-06-28 | 2013-05-01 | Precitec KG | Method for closed-loop controlling a laser processing operation and laser material processing head using the same |
| CN202115235U (en) * | 2011-06-23 | 2012-01-18 | 俞亚峰 | Intelligent numerical-control engraving machine for engraving doors |
| CN206231134U (en) * | 2016-11-11 | 2017-06-09 | 新疆大学 | Combined type engraving machine |
| CN110197276A (en) * | 2018-02-27 | 2019-09-03 | 意法半导体国际有限公司 | The data volume bruin accelerated for deep learning |
| CN112004658A (en) * | 2018-04-26 | 2020-11-27 | 惠普发展公司，有限责任合伙企业 | Print production quality prediction |
| CN214557831U (en) * | 2020-12-31 | 2021-11-02 | 江阴市精奇数控有限公司 | Automatic sorting device for saw cutting head and tail materials |
| CN113448297A (en) * | 2021-07-28 | 2021-09-28 | 济南坤水机械有限公司 | Process management control system for production process of engraving machine accessories |
| CN113721866A (en) * | 2021-08-19 | 2021-11-30 | 东莞中国科学院云计算产业技术创新与育成中心 | Data acquisition system and method applied to 3D printing |
Non-Patent Citations (2)
| Title |
|---|
| PCB数字雕刻机控制系统研究与设计;姜陈炀;《硕士电子期刊出版工程科技Ⅰ辑》;20130315(第3期);1-73 * |
| 凹凸薄胎陶瓷雕刻系统激光二维回测技术实现;董连芬;《石家庄职业技术学院学报》;20161228(第06期);1-5 * |
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| CN114660321A (en) | 2022-06-24 |
| GB202210196D0 (en) | 2022-08-24 |
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