CN203164738U - Machine vision control system based on cloud computing - Google Patents
Machine vision control system based on cloud computing Download PDFInfo
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- CN203164738U CN203164738U CN2013201770993U CN201320177099U CN203164738U CN 203164738 U CN203164738 U CN 203164738U CN 2013201770993 U CN2013201770993 U CN 2013201770993U CN 201320177099 U CN201320177099 U CN 201320177099U CN 203164738 U CN203164738 U CN 203164738U
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- machine vision
- control system
- cloud computing
- system based
- vision control
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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]
Abstract
The utility model discloses a machine vision control system based on cloud computing. The machine vision control system includes at least one signal acquisition system used for acquiring state image signals from production lines, transmitting modules which are used for transmitting information and are corresponding to the signal acquisition systems, a cloud server, servo mechanisms used for controlling the production lines and are corresponding to the signal acquisition systems, and an industrial personal computer which is used for controlling the servo mechanisms, wherein the cloud server is used for processing data transmitted by the transmitting modules and transmitting processing results to the industrial personal computer. Compared with the prior art, according to the machine vision control system based on the cloud computing of the utility model, the cloud server is adopted to process data, and therefore, data analysis speed can be greatly improved; and at the same time, only one industrial personal computer is required to control a plurality of servo mechanisms, and therefore, performance configuration requirements for the industrial personal computer can be reduced, and the number of industrial personal computers can be reduced, and as a result, cost can be reduced.
Description
Technical field
The utility model relates to a kind of control system, relates in particular to a kind of machine vision control system based on cloud computing.
Background technology
Machine vision replaces human eye and brain to do measurement and judgement with machine exactly.Vision Builder for Automated Inspection refers to that by machine vision product (be image-pickup device, divide two kinds of CMOS and CCD) will be ingested target and convert picture signal to, send special-purpose image processing system to, according to information such as pixel distribution and brightness, colors, be transformed into digital signal; Picture system carries out the feature that various computings come extracting objects to these signals, and then controls on-the-spot equipment action according to discrimination result.The characteristics of Vision Builder for Automated Inspection are to improve flexibility and the automaticity of producing.Be not suitable for the dangerous work environment of manual work or the occasion that the artificial vision is difficult to meet the demands at some, the machine in normal service vision substitutes the artificial vision; Simultaneously in industrial processes in enormous quantities, low and precision is not high with artificial visual inspection product quality efficient, the automaticity that can enhance productivity greatly and produce with machine vision detection method.And machine vision to be easy to realization information integrated, be the basic technology that realizes computer integrated manufacturing system.
Shown in Figure 1 is present typical structure based on the machine vision control system, that is: each bar production line correspondence a cover optical signalling and is gathered converting system, industrial computer and servo control mechanism, described optical signalling is gathered converting system will send described industrial computer from the status image that described production line collects to, described industrial computer carries out after the calculation process operation result being transferred to described servo control mechanism, and described servo control mechanism is carried out corresponding action again.This kind technical scheme has a drawback, that is: every production line all must dispose an industrial computer, has just increased production cost so virtually.In addition, the algorithm of machine vision is not only complicated, and quite high to the requirement of real-time, therefore the performance configuration of industrial computer requires quite high, and arithmetic speed is also limited, thereby causes every production line all will select expensive industrial computer for use, and then has raised production cost.
In view of the above problems, be necessary to provide a kind of new control system, in order to address the above problem.
The utility model content
At the deficiencies in the prior art, the technical matters that the utility model solves provides a kind of machine vision control system based on cloud computing, should can reduce production costs based on the machine vision control system of cloud computing.
For solving the problems of the technologies described above, the technical solution of the utility model is achieved in that
A kind of machine vision control system based on cloud computing, comprise at least one be used for from the signal acquiring system of production line acquisition state image, be used for transmission information and sending module, the Cloud Server corresponding with described signal acquiring system, be used for controlling described production line and with the corresponding servo control mechanism of described signal acquiring system and the industrial computer that is used for controlling described servo control mechanism, described Cloud Server is used for handling the data that described sending module sends over, and result is sent to described industrial computer.
Further, described sending module communicates by wireless mode and described Cloud Server.
Further, described sending module communicates by wired mode and described Cloud Server.
Further, described signal acquiring system is that optical signalling is gathered converting system.
The beneficial effects of the utility model are: compared with prior art, the utility model based on the machine vision control system of cloud computing owing to adopt described Cloud Server to carry out data analysis, thereby improved the speed of data analysis greatly, only need an industrial computer to control some servo control mechanisms simultaneously, reduced the performance configuration requirement to industrial computer, reduce the usage quantity of industrial computer, and then reduced cost.
Description of drawings
Fig. 1 is the synoptic diagram of existing control system.
Fig. 2 is that the utility model is based on the synoptic diagram of the machine vision control system of cloud computing.
Embodiment
In order to make the purpose of this utility model, technical scheme and advantage clearer, below in conjunction with the drawings and specific embodiments the utility model is described in detail.
See also shown in Figure 2, the utility model is used for controlling production line 60 based on the machine vision control system 100 of cloud computing, comprise at least one be used for from the signal acquiring system 10 of described production line 60 acquisition state images, be used for transmission information and the sending module 20 corresponding with described signal acquiring system 10, be used for deal with data Cloud Server 30, be used for controlling described production line 60 and with the corresponding servo control mechanism 40 of described signal acquiring system 10 and the industrial computer 50 that is used for controlling described servo control mechanism 40.Described sending module 20 can be communicated by letter with described Cloud Server 30 by wireless mode, also can communicate by letter with described Cloud Server 30 by wired mode.
See also shown in Figure 2, described signal acquiring system 10 is used for gathering the status image data of described production line 60, and the data that collect are passed to it corresponding sending module 20, described sending module 20 is given described Cloud Server 30 with the data upload that receives, 30 pairs of data that receive of described Cloud Server are analyzed, and analysis result is become instruction send described industrial computer 50 to, described industrial computer 50 is finished corresponding action according to the described servo control mechanism 40 of instruction control.In the present embodiment, described signal acquiring system 10 is gathered converting system for optical signalling.Owing to adopt described Cloud Server 30 to carry out data analysis, thereby improved the speed of data analysis greatly, only need an industrial computer 50 to control some servo control mechanisms 40 simultaneously, reduced the performance configuration requirement to industrial computer 50, reduce the usage quantity of industrial computer 50, and then reduced cost.In addition, because described production line 60 all is to control in the machine vision control system 100 of cloud computing by a stylobate, thereby be conducive to the unmanned operation of production line 60, reduced human cost.
Compared to prior art, the utility model based on the machine vision control system 100 of cloud computing owing to adopt described Cloud Server 30 to carry out data analysis, thereby improved the speed of data analysis greatly, only need an industrial computer 50 to control some servo control mechanisms 40 simultaneously, reduced the performance configuration requirement to industrial computer 50, reduce the usage quantity of industrial computer 50, and then reduced cost.
It may be noted that especially that for the person of ordinary skill of the art that does changes at equivalence of the present utility model under instruction of the present utility model, must be included in the scope that the utility model claim advocates.
Claims (4)
1. machine vision control system based on cloud computing, it is characterized in that: described machine vision control system based on cloud computing comprises that at least one is used for from the signal acquiring system of production line acquisition state image, be used for transmission information and the sending module corresponding with described signal acquiring system, Cloud Server, be used for controlling described production line and the servo control mechanism corresponding with described signal acquiring system and the industrial computer that is used for controlling described servo control mechanism, described Cloud Server is used for handling the data that described sending module sends over, and result is sent to described industrial computer.
2. the machine vision control system based on cloud computing as claimed in claim 1, it is characterized in that: described sending module communicates by wireless mode and described Cloud Server.
3. the machine vision control system based on cloud computing as claimed in claim 1, it is characterized in that: described sending module communicates by wired mode and described Cloud Server.
4. as any described machine vision control system based on cloud computing in the claim 1 to 3, it is characterized in that: described signal acquiring system is that optical signalling is gathered converting system.
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CN2013201770993U CN203164738U (en) | 2013-04-10 | 2013-04-10 | Machine vision control system based on cloud computing |
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CN2013201770993U CN203164738U (en) | 2013-04-10 | 2013-04-10 | Machine vision control system based on cloud computing |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106353115A (en) * | 2016-08-28 | 2017-01-25 | 上海华测导航技术股份有限公司 | Method for detection of steel structures |
CN107796357A (en) * | 2016-08-28 | 2018-03-13 | 上海华测导航技术股份有限公司 | A kind of monitoring method of tunnel cross section convergence deformation |
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2013
- 2013-04-10 CN CN2013201770993U patent/CN203164738U/en not_active Expired - Fee Related
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106353115A (en) * | 2016-08-28 | 2017-01-25 | 上海华测导航技术股份有限公司 | Method for detection of steel structures |
CN107796357A (en) * | 2016-08-28 | 2018-03-13 | 上海华测导航技术股份有限公司 | A kind of monitoring method of tunnel cross section convergence deformation |
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C14 | Grant of patent or utility model | ||
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CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130828 Termination date: 20140410 |