CN111352398B - Intelligent precision machining unit - Google Patents
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- CN111352398B CN111352398B CN202010129016.8A CN202010129016A CN111352398B CN 111352398 B CN111352398 B CN 111352398B CN 202010129016 A CN202010129016 A CN 202010129016A CN 111352398 B CN111352398 B CN 111352398B
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- 238000003754 machining Methods 0.000 title claims abstract description 74
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
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- 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 provides a composition and operation method of an intelligent precision machining unit, which aims to improve the clamping efficiency of the existing machining unit, and is realized by the following technical scheme: the control system transmits a machining program automatically provided by a machining process knowledge base to a control system of the machine tool, the acquired data are transmitted back to the data acquisition and real-time analysis system, the data acquisition and real-time analysis system acquires machining process data parameters of the machine tool, cutting force parameters on the dynamometer and detection data of on-line detection equipment through the control system, and real-time analysis and prediction of machining quality are realized through an internal machining quality prediction module; the automatic identification system is used for completing photographing of the parts through the automatic identification device, identification of the identities of the parts is achieved, the process parameter recommendation module automatically analyzes appearance characteristics and machining requirements of the parts, a data machining program is automatically generated based on a deep learning algorithm, and machining is conducted according to the data machining program sent to the machine tool.
Description
Technical Field
The invention relates to an intelligent precision machining unit in an intelligent manufacturing system, which particularly comprises the composition and operation of the intelligent precision machining unit.
Background
The intelligent building unit SMU (Smart Manufacturing Unit) is an industrial transformation upgrading practice, and can realize the landing of an intelligent factory in a staged manner; the intelligent building unit is a modularized thought and is a guide for realizing the construction and planning of an intelligent factory. The smart building unit may be positioned to implement the basic working unit of the digitizing plant.
In recent years, all main economic bodies in the world are greatly promoted to be in the recovery of manufacturing industry, and under the hot flashes of industrial Internet, internet of things, cloud computing and the like, numerous excellent manufacturing enterprises in the world develop intelligent factory construction practices. On the other hand, the emerging technologies such as the Internet of things, the cooperative robots, big data and machine vision are rapidly emerging, and good technical support is provided for the manufacturing enterprises to promote intelligent factory construction. The intelligent manufacturing unit becomes an important grip for the discrete manufacturing enterprises to land and is also a sharp tool for realizing complete intellectualization of intelligent factories. According to the product condition, the parts processed by each unit can be directional, after the product is designed, a manufacturing package is generated, the parts can be classified according to the attribute of the parts, and each type is distributed into the corresponding intelligent manufacturing units. Physically, the positions of the devices forming the agile intelligent manufacturing units are not changed, and logically, the devices are combined into different agile intelligent manufacturing units according to production organization and management requirements, so that dynamic optimal configuration of manufacturing resources is realized, and the devices respond to changing tasks in time. The intelligent manufacturing comprises an intelligent manufacturing technology and an intelligent manufacturing system, wherein the intelligent manufacturing system not only can continuously enrich a knowledge base in practice, but also has a self-learning function, and also has the capability of collecting and understanding environment information and self information, analyzing, judging and planning self behaviors. The intelligent manufacturing unit integrates the layout and production management characteristics of the fixed manufacturing system in the traditional sense in terms of plant equipment layout and production organization management, so that the intelligent manufacturing unit can be consistent with the organization and management of the manufacturing systems of the types, and other equipment can be managed and brought into the manufacturing system of the fixed structure through resource optimization combination and sharing so as to adapt to small changes of production tasks; the intelligent processing unit can integrate CNC, industrial robot, machining center and the equipment with lower degree of automation by utilizing the intelligent technology, so that the intelligent processing unit has higher flexibility and improves production efficiency. According to the requirements of production tasks on manufacturing resources, equipment which is not necessarily connected in physical positions is formed into a relatively stable agile intelligent manufacturing unit on a logic structure so as to complete a batch of specific production tasks, thereby improving the sharing of the manufacturing resources in the whole social range and reducing the idling of the equipment.
In order to achieve efficient operation of a smart building unit, the basic work unit must be modularized, automated and informationized. The intelligent making unit has four characteristics at the product end due to the product attribute and structure: the system has the advantages of modularized structure, standardized data output, heterogeneous scene and flexibility, and integration of software and hardware, and different manufacturing enterprises can establish flexible and intelligent production lines suitable for the enterprises according to different requirements of the enterprises. According to the production task change, the rapid reconstruction of the manufacturing resources on production organization and management is realized, and an artificial-centered intelligent manufacturing unit is realized. Reusable, reorganizable, extensible in the architecture of the unit is achieved according to production task variations. The existing manufacturing equipment (such as a machining center) with flexibility and transportation equipment are reconfigured and combined according to different requirements to form a manufacturing unit, and the reconfigurable unit control software is designed to control the production of the coordination unit, so that the quick reconfiguration of the manufacturing unit is realized, and the agility of a manufacturing unit layer is exerted.
The intelligent building unit construction relates to suppliers in the fields of intelligent equipment, automatic control, sensors, industrial software and the like, and the integration difficulty is high. The fields of intelligent manufacturing and intelligent factory coverage are numerous, and the system is extremely complex. The traditional solution of intelligent manufacturing often adopts various equipment superposition combinations, and lacks an integral design, especially a software and hardware integral design. Along with the continuous application of intelligent processing units and flexible production lines in manufacturing enterprises, management and technical standard establishment are often ignored in intelligent construction, and data standard lack is easily caused, so that one object is provided with multiple codes; the operation standard is not executed in place; the equipment management standard is lost, and different equipment adopts different communication protocols, so that the equipment integration difficulty is high; the management flow is complex, and the rights are not matched; the quality inspection standard is not executed in place, so that the problems of lot quality and the like are caused. The current intelligent processing units still suffer from several drawbacks: firstly, the determination of the process parameters before processing still mainly depends on the manual determination of the process or programmers, so that the optimization of the process parameters is difficult to ensure; secondly, in the part processing process, only real-time acquisition of processing parameters is generally realized, and real-time analysis of the real-time acquisition data is lacking, so that the processing quality is difficult to predict according to the processing parameters; thirdly, the clamping of the parts is mainly dependent on manual clamping modes such as a vice or a sucker, and automation of the clamping process is not realized.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention provides the intelligent precision machining unit which is accurate in automatic identification, automatic in clamping and accurate and reliable in self-adaptive recommended technological parameters, so that the intelligent and flexible level of the existing machining unit is improved.
To achieve the above object, the present invention provides an intelligent precision machining unit comprising: the automatic recognition device, a plurality of lathes, install automatic clamping device, dynamometer and on-line measuring equipment and the hardware layer of motion guide rail on the lathe and contain control system, automatic recognition system, data acquisition and real-time analysis system, the software layer of processing technology knowledge base, its characterized in that: the control system transmits a machining program automatically provided by a machining process knowledge base to a control system of the machine tool, controls the work of an automatic clamping device on the machine tool, transmits acquired data back to the data acquisition and real-time analysis system, and the data acquisition and real-time analysis system acquires machining process data parameters of the machine tool, cutting force parameters on a dynamometer and detection data of on-line detection equipment through the control system, so that real-time analysis and prediction of machining quality are realized through an internal machining quality prediction module; the automatic identification system is used for completing photographing of the parts through the automatic identification device, identifying the identities of the parts, processing and analyzing the part images photographed by the automatic identification device, and giving an independent identity identification to each processed part; when a part needs to be processed, a process parameter recommendation module in a processing process knowledge base automatically analyzes appearance characteristics and processing requirements of the part, recommends a set of process parameters meeting the requirements according to historical data in a data storage module based on a deep learning algorithm, automatically generates a corresponding data processing program, and sends the data processing program to a machine tool through a control system; the control system controls the gesture of the part, moves to the machine tool through the moving guide rail, and completes clamping on the machine tool through the automatic clamping device, and processing is carried out according to the data processing program sent to the machine tool.
Compared with the prior art, the invention has the following beneficial effects:
the intelligent processing unit capable of tracing the production flow is constructed by taking the construction concept of 'equipment automation, production lean + management informatization + manual high efficiency', integrating the industrial robot technology, digital design technology, digital control processing technology, industrial Internet of things technology, RFID digital information technology, intelligent manufacturing system technology including industrial robot application technology, fixed-point high-precision carrying technology, online measuring device, informatization intelligent manufacturing MES system and the like. The PLC is utilized to communicate with each unit of the system, the machine tool is integrated in the intelligent precise machining unit, the numerical control machine tool is used for machining parts, real-time manufacturing data acquisition in the machining process is realized, automatic identification of the identity of the parts, automatic clamping and machining process automation of technological parameters are realized, and the control is simple and visual.
The automatic identification is accurate. The invention adopts a control system to send a machining program automatically provided by a machining process knowledge base to a control system of a machine tool, controls the work of an automatic clamping device on the machine tool, and transmits acquired data back to a data acquisition and real-time analysis system by arranging an automatic identification device, an automatic clamping device and a moving guide rail in an intelligent precision machining unit, wherein the data acquisition and real-time analysis system acquires machining process data parameters of the machine tool, cutting force parameters on a dynamometer and detection data of on-line detection equipment through the control system, and realizes real-time analysis and prediction of machining quality through an internal machining quality prediction module; based on a deep learning algorithm, a set of technological parameters meeting requirements are recommended according to historical data in a data storage module, a corresponding data processing program is automatically generated, the processing process is full-automatic, and the automatic identification, automatic clamping and automatic movement of the identity characteristics of the parts after the parts enter an intelligent precision processing unit can be realized. The automatic identification system is used for completing photographing of the parts through the automatic identification device, identifying the identities of the parts, processing and analyzing the part images photographed by the automatic identification device, and giving an independent identity identification to each processed part; meanwhile, the self-adaptive recommendation of the processing technological parameters and the automatic generation of the processing program are realized, the automation level is improved, and the unmanned processing unit is realized.
The self-adaptive recommended technological parameters are accurate and reliable. The invention adopts a software layer comprising a control system, an automatic identification system, a data acquisition and real-time analysis system and a processing technology knowledge base, realizes the self-adaptive recommendation of the processing parameters through the processing parameter recommendation module in the processing technology knowledge base, has high accuracy, realizes the association among the appearance characteristics, the processing requirements, the processing parameters and the processing quality of the parts through a deep learning algorithm, can automatically recommend the processing parameters meeting the requirements according to the different appearance characteristics and the processing quality requirements of the parts, forms corresponding numerical control processing programs and improves the rationality of the processing parameters.
The processing unit composition is scalable. According to the invention, the self-adaptive recommendation of the processing technology data of the parts is realized by adopting the automatic identification device, the plurality of machine tools, the automatic clamping device, the dynamometer, the on-line detection equipment and the moving guide rail which are arranged on the machine tools, the real-time acquisition of the data and the real-time prediction of the processing quality in the processing process are realized, and the intelligent level of the intelligent processing unit is improved. The number of the machine tools can be customized and expanded at any time according to the requirements of the intelligent precision machining units so as to meet the machining requirements of parts with different sizes and precision, and meanwhile, on-line detection equipment can be added according to the requirements, so that the expandable and reconfigurable machining unit components are realized.
Drawings
Fig. 1 is a schematic diagram of the composition of the intelligent precision machining unit according to the present invention.
The invention will be described in further detail below with reference to the drawings and examples, but the invention is not limited to the examples.
Detailed Description
See fig. 1. In the preferred embodiments described below, the intelligent precision machining unit includes: two major parts, namely a hardware layer and a software layer. The hardware layer mainly comprises an automatic identification device, a plurality of machine tools, an automatic clamping device and a dynamometer which are arranged on the machine tools, on-line detection equipment and a moving guide rail, and the software layer mainly comprises a control system, an automatic identification system, a data acquisition and real-time analysis system and a processing technology knowledge base. Wherein, automatic identification system includes: the system comprises an image acquisition module, an image analysis module and an image classification module which are sequentially crosslinked. The data acquisition and real-time analysis system comprises: the processing technology knowledge base comprises a data acquisition module, a processing quality prediction module and a visual display module which are crosslinked in sequence: the device comprises a data storage module, a process parameter recommendation module and a processing generation module which are sequentially crosslinked. The control system transmits a machining program automatically provided by a machining process knowledge base to a control system of the machine tool, controls the work of an automatic clamping device on the machine tool, transmits acquired data back to the data acquisition and real-time analysis system, and the data acquisition and real-time analysis system acquires machining process data parameters of the machine tool, cutting force parameters on a dynamometer and detection data of on-line detection equipment through the control system, so that real-time analysis and prediction of machining quality are realized through an internal machining quality prediction module; the automatic identification system is used for completing photographing of the parts through the automatic identification device, identifying the identities of the parts, processing and analyzing the part images photographed by the automatic identification device, and giving an independent identity identification to each processed part; when a part needs to be processed, a process parameter recommendation module in a processing process knowledge base automatically analyzes appearance characteristics and processing requirements of the part, recommends a set of process parameters meeting the requirements according to historical data in a data storage module based on a deep learning algorithm, automatically generates a corresponding data processing program, and sends the data processing program to a machine tool through a control system; the control system controls the gesture of the part, moves to the machine tool through the moving guide rail, and completes clamping on the machine tool through the automatic clamping device, and processing is carried out according to the data processing program sent to the machine tool.
The image acquisition module in the automatic identification system is used for controlling the image acquisition device to shoot the part; the image analysis module obtains the feature with good robustness of the part by automatically extracting the geometric, texture and contour features of the part and fusing the geometric, texture and contour features with each other; the image classification module is used for comparing the features of the parts with the features of the original parts to finish the recognition and classification of the features of the parts and giving each processed part an independent identity identification.
The data acquisition module in the data acquisition and real-time analysis system realizes the acquisition of the machine tool processing process data and the detection data of the on-line detection equipment through the control system; the machining quality prediction module is internally embedded with a deep learning model between the machining characteristics, the technological parameters and the machining quality of the part, so that the machining quality prediction of the technological parameters under the specific machining characteristics can be realized; the visual display module utilizes a related visual method to display real-time processing process parameters of the parts and synchronously displays real-time predicted values of the processing quality in the processing quality prediction module.
When a part needs to be processed, a process parameter recommendation module in a processing process knowledge base automatically analyzes appearance characteristics and processing requirements of the part, recommends a group of process parameters meeting the requirements according to historical data in a data storage module based on a deep learning algorithm, automatically generates a corresponding data processing program and sends the corresponding data processing program to a machine tool through a control system. The processing technology knowledge base data storage module is used for storing the data acquired in the data acquisition and real-time analysis system, and the processing generation module can automatically perform data matching in historical processing data according to the part characteristics by embedding the correlation model between the technological parameters and the quality parameters under different design characteristics based on a deep learning algorithm, so that the processing technology parameters meeting the existing part characteristics can be automatically generated.
And (3) a control system: the control system mainly has three functions, namely, a processing program automatically provided by a processing technology knowledge base is sent to a control system of the machine tool, the work of an automatic clamping device on the machine tool is controlled, and the command of a data acquisition module of the data acquisition and real-time analysis system is received to acquire processing parameters, actual measurement values of cutting force and detection values of on-line detection equipment of the machine tool, and acquired data are transmitted back to the data acquisition and real-time analysis system.
In this embodiment, the following steps are implemented:
s1, when a part needs to be processed, a process parameter recommendation module in a processing process knowledge base automatically analyzes appearance characteristics and processing requirements of the part, recommends a group of process parameters meeting the requirements according to historical data in a data storage module, automatically generates a corresponding data processing program and sends the corresponding data processing program to a machine tool through a control system.
S2, when the part enters the precision machining unit, photographing of the part is completed through the automatic identification device, identification of the identity of the part is achieved, the control system controls the part to move onto the machine tool through the moving guide rail, clamping on the machine tool is completed through the automatic clamping device, and machining is conducted according to a data machining program sent to the machine tool.
And S3, in the part machining process, a data acquisition module in the data acquisition and real-time analysis system acquires machining process parameters on the machine tool and cutting force parameters on the dynamometer in real time through a control system, machining quality and electrical performance prediction based on the machining process parameters are realized through a machining quality prediction module, and machining process parameters and machining quality prediction values are displayed through a visualization module.
And S4, after the part is machined, the control system controls the part to move out of the intelligent precision machining unit and finish detection of the machining quality of the part, and the machining process parameters, the machining quality predicted value, the machining quality detected value and the identity of the part are stored in the data storage module together and used as historical data of next part machining.
While the foregoing is directed to the preferred embodiment of the present invention, it is noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. Various modifications and improvements may be made by those skilled in the art without departing from the spirit and substance of the invention, and are also considered to be within the scope of the invention.
Claims (10)
1. An intelligent precision machining unit comprising: the automatic recognition device, a plurality of lathes, install automatic clamping device, dynamometer and on-line measuring equipment and the hardware layer of motion guide rail on the lathe and contain control system, automatic recognition system, data acquisition and real-time analysis system, the software layer of processing technology knowledge base, its characterized in that: the control system transmits a machining program automatically provided by a machining process knowledge base to a control system of the machine tool, controls the work of an automatic clamping device on the machine tool, transmits acquired data back to the data acquisition and real-time analysis system, and the data acquisition and real-time analysis system acquires machining process data parameters of the machine tool, cutting force parameters on a dynamometer and detection data of on-line detection equipment through the control system, so that real-time analysis and prediction of machining quality are realized through an internal machining quality prediction module; the automatic identification system is used for completing photographing of the parts through the automatic identification device, identifying the identities of the parts, processing and analyzing the part images photographed by the automatic identification device, and giving an independent identity identification to each processed part; when a part needs to be processed, a process parameter recommendation module in a processing process knowledge base automatically analyzes appearance characteristics and processing requirements of the part, recommends a set of process parameters meeting the requirements according to historical data in a data storage module based on a deep learning algorithm, automatically generates a corresponding data processing program, and sends the data processing program to a machine tool through a control system; the control system controls the gesture of the part, moves to the machine tool through the moving guide rail, and completes clamping on the machine tool through the automatic clamping device, and processing is carried out according to the data processing program sent to the machine tool.
2. The intelligent precision finishing unit of claim 1, wherein: the automatic identification system comprises: the system comprises an image acquisition module, an image analysis module and an image classification module which are sequentially crosslinked.
3. The intelligent precision finishing unit of claim 1, wherein: the data acquisition and real-time analysis system comprises: the device comprises a data acquisition module, a processing quality prediction module and a visual display module which are crosslinked in sequence.
4. The intelligent precision finishing unit of claim 1, wherein: the processing technology knowledge base comprises: the device comprises a data storage module, a process parameter recommendation module and a processing generation module which are sequentially crosslinked.
5. The intelligent precision finishing unit of claim 2, wherein: the image acquisition module controls the image acquisition device to shoot the piece; the image analysis module obtains the feature with good robustness of the part by automatically extracting the geometric, texture and contour features of the part and fusing the geometric, texture and contour features with each other; the image classification module is used for comparing the features of the parts with the features of the original parts to finish the recognition and classification of the features of the parts and giving each processed part an independent identity identification.
6. The intelligent precision finishing unit of claim 3, wherein: the data acquisition module is used for acquiring machine tool machining process data and detection data of the online detection equipment through a control system; the machining quality prediction module is internally embedded with a deep learning model between the machining characteristics, the technological parameters and the machining quality of the part, so that the machining quality prediction of the technological parameters under the specific machining characteristics is realized; the visual display module utilizes a related visual method to display real-time processing process parameters of the parts and synchronously displays real-time predicted values of the processing quality in the processing quality prediction module.
7. The intelligent precision finishing unit of claim 4, wherein: the process parameter recommending module automatically analyzes appearance characteristics and processing requirements of the parts, recommends process parameters meeting at least one group of requirements according to historical data in the data storage module based on a deep learning algorithm, automatically generates corresponding data processing programs and sends the corresponding data processing programs to the machine tool through the control system.
8. The intelligent precision finishing unit of claim 4, wherein: the data storage module is used for storing the data acquired in the data acquisition and real-time analysis system, and the processing generation module automatically performs data matching in the historical processing data according to the part characteristics through embedding an association relation model between the process parameters and the quality parameters under different design characteristics based on a deep learning algorithm, so as to automatically generate the processing process parameters meeting the existing part characteristics.
9. The intelligent precision finishing unit of claim 3, wherein: the control system has three functions, namely, a processing program automatically provided by a processing technology knowledge base is sent to the control system of the machine tool, the work of an automatic clamping device on the machine tool is controlled, and the command of a data acquisition module of the data acquisition and real-time analysis system is received to acquire processing parameters, actual measurement values of cutting force and detection values of on-line detection equipment of the machine tool, and the acquired data is transmitted back to the data acquisition and real-time analysis system.
10. The intelligent precision finishing unit of claim 1, wherein: after the part is machined, the control system controls the part to move out of the intelligent precision machining unit and finish detection of the machining quality of the part, and machining process parameters, a machining quality predicted value, a machining quality detected value and the identity of the part are stored in the data storage module together and used as historical data of next part machining.
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| CN116957310A (en) * | 2023-09-21 | 2023-10-27 | 创思(广州)电子科技有限公司 | Intelligent manufacturing data management system and method based on cloud computing technology |
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