CN113359453A - Part machining device based on artificial intelligence and intelligent workshop system thereof - Google Patents
Part machining device based on artificial intelligence and intelligent workshop system thereof Download PDFInfo
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- CN113359453A CN113359453A CN202110653873.2A CN202110653873A CN113359453A CN 113359453 A CN113359453 A CN 113359453A CN 202110653873 A CN202110653873 A CN 202110653873A CN 113359453 A CN113359453 A CN 113359453A
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- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 24
- 238000003754 machining Methods 0.000 title description 10
- 238000012545 processing Methods 0.000 claims abstract description 70
- 238000003860 storage Methods 0.000 claims abstract description 27
- 238000004891 communication Methods 0.000 claims abstract description 25
- 230000010365 information processing Effects 0.000 claims abstract description 18
- 238000004458 analytical method Methods 0.000 claims abstract description 16
- 238000012549 training Methods 0.000 claims abstract description 13
- 238000001514 detection method Methods 0.000 claims abstract description 7
- 230000005540 biological transmission Effects 0.000 claims description 14
- 238000005553 drilling Methods 0.000 claims description 10
- 238000013135 deep learning Methods 0.000 claims description 7
- 238000001816 cooling Methods 0.000 claims description 5
- 239000007788 liquid Substances 0.000 claims description 5
- 230000003139 buffering effect Effects 0.000 claims 1
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- 238000004519 manufacturing process Methods 0.000 description 7
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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
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
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Abstract
本发明公开了一种基于人工智能的零件加工装置，包括用于加工零件的加工装置、用于采集零件信息的信息采集系统、用于指导加工装置工作的智能系统和与外部进行数据通讯的通讯系统，所述信息采集系统包括尺寸检测模块、图像采集模块和信息处理模块，所述智能系统包括学习训练模块、模型存储模块和分析处理模块，所述通讯系统包括物联网通讯模块和蓝牙通讯模块，所述信息采集系统与智能系统连接，所述信息采集系统与智能系统连接，所述智能系统与加工装置连接，所述智能系统通过连接模块与加工装置连接。本发明分析处理模块通过模型调用层调用模型，对零件信息进行分析，指导加工装置工作，提高了零件加工的效率。
The invention discloses a part processing device based on artificial intelligence, including a processing device for processing parts, an information collection system for collecting part information, an intelligent system for guiding the work of the processing device, and a communication for data communication with the outside. The information acquisition system includes a size detection module, an image acquisition module and an information processing module, the intelligent system includes a learning and training module, a model storage module and an analysis and processing module, and the communication system includes an Internet of Things communication module and a Bluetooth communication module , the information collection system is connected with the intelligent system, the information collection system is connected with the intelligent system, the intelligent system is connected with the processing device, and the intelligent system is connected with the processing device through the connection module. The analysis and processing module of the invention calls the model through the model calling layer, analyzes the part information, guides the work of the processing device, and improves the efficiency of the part processing.
Description
Technical Field
The invention relates to the technical field of intelligent manufacturing, in particular to a part processing device based on artificial intelligence and an intelligent workshop system thereof.
Background
Artificial intelligence builds analytical models to provide optimal decisions, mainly through data collection, which is manifested as intelligence. The traditional production mode is mainly a mode of a manual control device, so that the labor cost is high, the production and processing standardization is low, and the product consistency is poor.
Disclosure of Invention
The invention aims to provide a part processing device based on artificial intelligence and an intelligent workshop system thereof, which introduce artificial intelligence into the processing and manufacturing of parts, reduce the labor cost and standardize the part processing so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a part machining device based on artificial intelligence, is including the processingequipment who is used for processing the part, the information acquisition system who is used for gathering the part information, the intelligent system who is used for instructing the processingequipment work and the communication system who carries out the data communication with the outside, the information acquisition system includes size detection module, image acquisition module and information processing module, the intelligent system is including learning training module, model storage module and analysis and processing module, the communication system includes thing networking communication module and bluetooth communication module, the information acquisition system is connected with intelligent system, intelligent system is connected with processingequipment, intelligent system passes through linking module and is connected with processingequipment.
Preferably, the image acquisition module comprises a high-definition camera for acquiring part image information, an image cache module and an image transmission module, and the image transmission module is respectively connected with the high-definition camera and the image cache module; the image shot by the high-definition camera is transmitted to the image cache module for caching through the image transmission module, and simultaneously, the image information in the image cache module is transmitted to the information processing module through the image transmission module.
Preferably, the size detection module comprises a plurality of laser ranging sensors for measuring the sizes of the parts, and the laser ranging sensors are connected with the information processing module.
Preferably, the information processing module comprises an image processing chip, a main storage module and an interface module, and the image processing chip is respectively connected with the main storage module and the interface module.
Preferably, the machining device comprises a drilling machine for drilling the part and a liquid cooling device matched with the drilling machine.
Preferably, the learning training module comprises a plurality of deep learning convolution layers, and the deep learning convolution layers comprise a convergence layer.
Preferably, the model storage module comprises a model storage layer and a model calling layer, and the model calling layer is respectively connected with the learning training module and the analysis processing module.
Preferably, the analysis processing module calls a corresponding model through the model calling layer to analyze and process the information transmitted by the information acquisition system.
An intelligent workshop system based on artificial intelligence comprises the part machining device based on artificial intelligence and further comprises a main processing system, wherein the main processing system comprises a plurality of computer terminals and a cloud storage terminal, the computer terminals are connected with the corresponding machining device through an internet of things communication module and a Bluetooth module and manage the machining device, and the cloud storage terminal is used for cloud storage and remote data sharing of computer terminal data.
Compared with the prior art, the invention has the beneficial effects that:
1. the image information of the part is shot through the high-definition camera, the size of the part is detected through the laser ranging sensor, the size information and the image information are transmitted to the information processing module, the information processing module processes the image information, the processed image information is transmitted to the analysis processing module, the analysis processing module calls the model through the model calling layer and inputs the image information into the model, the model analyzes the information according to an internally set algorithm, whether the size of the part processed in the previous process is qualified is judged, corresponding operation parameters are generated, a processing device is guided, and the production efficiency of the part and the consistency of products are improved;
2. the invention manages a plurality of processing devices through the main processing system at the same time, thereby improving the production efficiency of the whole workshop;
3. the learning training module is arranged, and the model is trained through the internal deep learning convolutional layer, so that the accuracy of the model is ensured.
Drawings
FIG. 1 is a connection diagram of a part processing device based on artificial intelligence and an intelligent workshop system module thereof;
FIG. 2 is a schematic diagram of the system distribution of the present invention.
In the figure: 100. a processing device; 101. an information acquisition system; 102. an intelligent system; 103. a communication system; 104. a main processing system; 1011. a size detection module; 1012. an image acquisition module; 1013. an information processing module; 1021. a learning training module; 1022. a model storage module; 1023. an analysis processing module; 1031. the Internet of things communication module; 1032. a Bluetooth communication module; 1001. a drilling machine; 1002. and a liquid cooling device.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "disposed," "sleeved/connected," "connected," and the like are to be construed broadly, e.g., "connected," which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Referring to fig. 1-2, the present invention provides a technical solution: the utility model provides a part machining device based on artificial intelligence, including the processingequipment 100 that is used for processing the part, an information acquisition system 101 for gathering the part information, an intelligent system 102 for instructing processingequipment 100 work and a communication system 103 who carries out data communication with the outside, information acquisition system 101 includes size detection module 1011, image acquisition module 1012 and information processing module 1013, intelligent system 102 includes learning training module 1021, model storage module 1022 and analysis and processing module 1023, communication system 103 includes thing networking communication module 1031 and bluetooth communication module 1032, information acquisition system 101 is connected with intelligent system 102, intelligent system 102 is connected with processingequipment 100 through connecting module 1033.
The image acquisition module 1012 comprises a high-definition camera, an image cache module and an image transmission module, wherein the high-definition camera is used for acquiring part image information, and the image transmission module is respectively connected with the high-definition camera and the image cache module; the image captured by the high-definition camera is transmitted to the image cache module for caching through the image transmission module, and meanwhile, the image information in the image cache module is transmitted to the information processing module 1013 through the image transmission module.
The dimension detecting module 1011 includes a plurality of laser distance measuring sensors for measuring the dimensions of the parts, and the laser distance measuring sensors are connected to the information processing module 1013.
The information processing module 1013 includes an image processing chip, a main storage module and an interface module, the image processing chip is connected with the main storage module and the interface module respectively, and the interface module is connected with the image transmission module.
The machining apparatus 100 includes a drill 1001 for drilling a part and a liquid cooling apparatus 1002 engaged with the drill 1001.
The learning training module 1021 includes a plurality of deep learning convolution layers, including a convergence layer.
The model storage module 1022 includes a model storage layer and a model calling layer, and the model calling layer is connected to the learning training module 1021 and the analysis processing module 1023 respectively.
The analysis processing module 1023 calls the corresponding model through the model calling layer to analyze and process the information transmitted by the information acquisition system 101.
The utility model provides an intelligence workshop system based on artificial intelligence, includes a part machining device based on artificial intelligence, still includes main processing system 104, and main processing system 104 includes a plurality of computer terminal and cloud storage terminal, and computer terminal passes through thing networking communication module 1031 and bluetooth module and connects corresponding processingequipment to manage it, and cloud storage terminal is used for the cloud storage and the remote data sharing of computer terminal data.
The working principle is as follows: when the device is used, the image information of a part is shot through a high-definition camera, the size of the part is detected through a laser ranging sensor, the size information and the image information are transmitted to an information processing module 1013, the image information is processed by the information processing module 1013, the processed image information is transmitted to an analysis processing module 1023, the analysis processing module 1023 calls a layer calling model through the model and inputs the image information into the model, the model analyzes the information according to an internally set algorithm, whether the size of the part processed in the previous process is qualified is judged, and corresponding operation parameters such as the position of a drilled hole and the number of the drilled hole are generated; if the part is not qualified, stopping the corresponding drilling machine 1001 and sending an alarm message to the main processing system 104; if a plurality of parts are qualified, the operation parameters are sent to the processing device 100, and the drilling machine 1001 and the liquid cooling device 1002 work according to the operation parameters; the main processing system 104 manages a plurality of part processing devices, so that the production efficiency of the whole workshop is improved;
because the learning training module 1021 is arranged, the model is trained through the internal deep learning convolution layer, and the trained model is stored in the model storage layer; the user can follow the long-range workshop operating data that acquires in high in the clouds, can be connected with corresponding processingequipment 100 through bluetooth module user's mobile terminal simultaneously, acquires corresponding data in real time to manage corresponding processingequipment's processing operation.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
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| CN202110653873.2A CN113359453A (en) | 2021-06-11 | 2021-06-11 | Part machining device based on artificial intelligence and intelligent workshop system thereof |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115016420A (en) * | 2022-06-28 | 2022-09-06 | 池州市明坤电子科技有限公司 | Intelligent processing system for aluminum parts |
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Application publication date: 20210907 |