CN111766836A - Smart manufacturing method and system - Google Patents

Smart manufacturing method and system Download PDF

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Publication number
CN111766836A
CN111766836A CN201910262180.3A CN201910262180A CN111766836A CN 111766836 A CN111766836 A CN 111766836A CN 201910262180 A CN201910262180 A CN 201910262180A CN 111766836 A CN111766836 A CN 111766836A
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China
Prior art keywords
module
test
tested
mes
testing
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CN201910262180.3A
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Chinese (zh)
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卓邦荣
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Nanchang OFilm Tech Co Ltd
Nanchang OFilm Optoelectronics Technology Co Ltd
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Nanchang OFilm Optoelectronics Technology Co Ltd
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Priority to CN201910262180.3A priority Critical patent/CN111766836A/en
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/418Total 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], computer integrated manufacturing [CIM]
    • G05B19/41875Total 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], computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Abstract

The application relates to an intelligent manufacturing method and system, wherein the method comprises the steps of obtaining a module to be tested, which is transmitted by a material transmission device; performing performance test on the module to be tested according to an MES database downloaded from an MES big data server to obtain a test result; the MES database stores parameters required for performing performance test on the module to be tested; classifying the module to be tested according to the test result, and outputting the classified good products through the material conveying device; wherein, the good products obtained by classification are used for product assembly. The module that awaits measuring earlier carries out capability test to the module before the product equipment, only carries out subsequent equipment process with the yields that the test passes through, avoids because the unqualified product that leads to after the equipment of module breaks down, reduces and returns the factory to overhaul, and traditional product production mode has improved product production efficiency.

Description

Smart manufacturing method and system
Technical Field
The application relates to the technical field of industrial production control, in particular to an intelligent manufacturing method and system.
Background
With the development of science and the continuous progress of society, the manufacturing industry develops towards the intelligent information production direction. The automation line gradually replaces the manual work by the machine to realize automation, automatically produces the product, and the intelligent automation of production greatly improves the production efficiency of the product.
The traditional production mode of products is to transport different production materials to an assembly platform, and then assemble the products by welding and other modes. And (4) manually detecting the qualification rate of the assembled product, and returning to the factory for detection and repacking the unqualified product. Because need carry out manual detection after accomplishing the product equipment, can't in time detect the product trouble, there is the shortcoming that production efficiency is low in traditional product production mode.
Disclosure of Invention
In view of the above, it is necessary to provide an intelligent manufacturing method and system that can improve the production efficiency.
A smart manufacturing method, comprising:
acquiring a module to be tested transmitted by a material transmission device; performing performance test on the module to be tested according to an MES database downloaded from an MES (Manufacturing execution system) big data server to obtain a test result; the MES database stores parameters required for performing performance test on the module to be tested; classifying the module to be tested according to the test result, and outputting the classified good products through the material conveying device; wherein, the good products obtained by classification are used for product assembly.
According to the intelligent manufacturing method, the performance of the module to be tested transmitted by the material transmission device is tested and classified according to the MES database downloaded from the MES big data server, and the classified good products are output by the material transmission device to be assembled. The module that awaits measuring earlier carries out capability test to the module before the product equipment, only carries out subsequent equipment process with the yields that the test passes through, avoids because the unqualified product that leads to after the equipment of module breaks down, reduces and returns the factory to overhaul, and traditional product production mode has improved product production efficiency.
In one embodiment, the performing, according to the MES database downloaded from the MES big data server, the performance test on the module to be tested to obtain a test result includes: reading information of an information tag carried by the module to be tested to obtain information of the module to be tested; acquiring corresponding test parameters from the MES database according to the information of the module to be tested; and performing performance test on the module to be tested according to the test parameters to obtain a test result.
The information of the module to be tested is read from the information tag carried by the module to be tested, and then the corresponding test parameters are extracted for performance test, so that the performance test of the modules to be tested of different types can be realized, and the convenience of the performance test of the modules is improved.
In one embodiment, the test parameters include at least one of voltage test parameters, current test parameters, and power test parameters.
The tester can set specific test parameters according to actual requirements to perform performance test on the module to be tested, and the operation is simple and convenient and the reliability is high.
In one embodiment, the information tag is a radio frequency tag or a bar code tag.
The information of the module to be tested is stored through the radio frequency tag or the bar code tag, so that the information reading is convenient, and the operation is simple, convenient and quick.
In one embodiment, the performing, according to the MES database downloaded from the MES big data server, the performance test on the module to be tested to obtain a test result further includes: and uploading the test result to the MES big data server.
Test results are uploaded to an MES big data server to carry out data summarization, so that module faults are subjected to statistical analysis, and the reliability of module performance test is improved.
In one embodiment, after classifying the module to be tested according to the test result and outputting the classified good products through the material conveying device, the method further includes: and sorting and classifying and identifying the defective products obtained by classification.
Sorting and classifying identification are carried out on the defective products obtained by classification, so that follow-up maintenance of right alignment is carried out on unqualified modules conveniently, and the operation convenience is improved.
An intelligent manufacturing system comprises a material conveying device, a mechanical arm, a module testing device, a control device and an MES big data server, wherein the module testing device is arranged on the material conveying device, the control device is connected with the module testing device, the mechanical arm and the MES big data server,
the control device is used for controlling the mechanical arm to place the module to be tested on the material conveying device, and controlling the module testing device to perform performance testing on the module to be tested according to an MES database downloaded from an MES big data server to obtain a testing result; the MES database stores parameters required for performing performance test on the module to be tested; classifying the module to be tested according to the test result, and placing the classified good products on the material conveying device through the mechanical arm;
the material conveying device is used for conveying the module to be tested to the module testing device and outputting the classified good products; wherein, the good products obtained by classification are used for product assembly.
Above-mentioned intelligence manufacturing system carries out capability test and classification to the module that awaits measuring of material transmission device transmission according to the MES database of downloading from MES big data server, and the yields that will classify and obtain are passed through material transmission device output and are supplied to carry out the product equipment. The module that awaits measuring earlier carries out capability test to the module before the product equipment, only carries out subsequent equipment process with the yields that the test passes through, avoids because the unqualified product that leads to after the equipment of module breaks down, reduces and returns the factory to overhaul, and traditional product production mode has improved product production efficiency.
In one embodiment, the control device is further configured to control the module testing device to perform a performance test on the module to be tested after receiving a test starting instruction; and after receiving the test finishing instruction, controlling the module testing device to stop testing.
And the test starting and ending control is carried out according to the received instruction, so that the convenience of the module test operation is improved.
In one embodiment, the module testing device includes a testing platform and a testing component, the testing platform is disposed on the material conveying device and is used for placing the module to be tested, and the testing component is connected to the control device and is electrically connected to the module to be tested.
The test platform is used for setting the module to be tested, and then the test assembly is electrically connected with the module to be tested so as to test the performance, so that the operation is convenient and reliable.
In one embodiment, the control device is a PLC (Programmable Logic Controller) Controller. The PLC is adopted for production control, and the device is high in reliability, strong in anti-interference capability and strong in applicability.
Drawings
FIG. 1 is a flow diagram of an intelligent manufacturing method in one embodiment;
FIG. 2 is a flow chart of a smart manufacturing method in another embodiment;
FIG. 3 is a block diagram of an intelligent manufacturing system in accordance with an embodiment;
FIG. 4 is a schematic diagram of an intelligent manufacturing system in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, an intelligent manufacturing method is provided, which is suitable for performing production and manufacturing control on an electronic product, where the electronic product may be a touch screen, a computer, a wearable device, or the like. As shown in fig. 1, the method includes:
step S110: and acquiring the module to be tested transmitted by the material transmission device.
Specifically, the mechanical arm can be controlled by the control device to place the module to be tested transmitted by the material transmission device on the test platform of the module test device, so that subsequent test operation can be performed. The material conveying device is used for conveying the module to be tested to the module testing device from the material area for performance testing, and conveying the good products passing the testing to the subsequent assembly process for product assembly. It will be appreciated that the specific type and number of modules to be tested will vary depending on the product to be assembled. For example, when the module to be tested is applied to assembly production of a touch screen, the module to be tested may be a touch chip or the like. The specific type of the control device is not exclusive, and in the embodiment, the control device is a PLC controller. The PLC is adopted for production control, and the device is high in reliability, strong in anti-interference capability and strong in applicability.
Step S120: and performing performance test on the module to be tested according to the MES database downloaded from the MES big data server to obtain a test result.
The MES database stores parameters required for performance test of the module to be tested. MES database stores the parameter that carries out performance test to different kind of modules, still can include the product specification to all kinds of module settings through the big data of MES big data server storage to follow-up module classification judgement that carries on. Specifically, after the control device controls the mechanical arm to place the module to be tested on the test platform of the module test device, the test assembly of the module test device can be electrically connected with the module to be tested through the mechanical arm, for example, a test clamp of the test assembly is connected with a signal pin of the module to be tested, so that an electric signal is output to the module to be tested according to parameters stored in the MES database, and the output signal of the module to be tested is collected for performance test.
In one embodiment, step S120 includes: reading information of an information tag carried by the module to be tested to obtain information of the module to be tested; acquiring corresponding test parameters from an MES database according to the information of the module to be tested; and performing performance test on the module to be tested according to the test parameters to obtain a test result. The information of the module to be tested is read from the information tag carried by the module to be tested, and then the corresponding test parameters are extracted for performance test, so that the performance test of the modules to be tested of different types can be realized, and the convenience of the performance test of the modules is improved.
The type of test parameter is not exclusive and in one embodiment the test parameter includes at least one of a voltage test parameter, a current test parameter, and a power test parameter. The tester can set specific test parameters according to actual requirements to perform performance test on the module to be tested, and the operation is simple and convenient and the reliability is high. Specifically, taking the example that the test parameters include a voltage test parameter, a current test parameter and a power test parameter at the same time, the control device controls the test assembly to output the electric signal to the module to be tested according to the fixed voltage test parameter, current test parameter and power test parameter, and collects the signal output by the module to be tested. And comparing the acquired signals with a preset test standard threshold value to obtain test data after different tests are carried out on the module to be tested as a test result. For example, if the voltage output detected during the voltage test is a and the standard threshold is a, the difference between the voltage output a and the standard threshold a may be used as the test data obtained from the voltage test, and the test data obtained from different tests may be summarized to be used as the test result.
In addition, the specific type of information tag is not unique, and in one embodiment, the information tag is a radio frequency tag or a bar code tag. The information of the module to be tested is stored through the radio frequency tag or the bar code tag, so that the information reading is convenient, and the operation is simple, convenient and quick.
Step S130: and classifying the module to be tested according to the test result, and outputting the classified good products through the material transmission device.
Wherein, the good products obtained by classification are used for product assembly. Correspondingly, the control device can classify the module to be tested according to the test result and the product specification stored in the MES database, and the product specification represents the corresponding relation between the test result and the test classification. Specifically, taking the example that the test parameters include a voltage test parameter, a current test parameter and a power test parameter at the same time, the control device performs classification detection on the module to be tested according to product specifications after performing different tests on the module to be tested to obtain test data. For example, if the test data (i.e., the difference between the output value and the standard threshold) obtained by the module under test under different types of tests is smaller than the preset error, the module under test is determined to be a qualified good product, otherwise, the module under test is determined to be a defective product. After the module to be tested is determined to be a good product, the control device controls the mechanical arm to place the good product back to the material conveying device, and the material conveying device is used for conveying the good product to a subsequent processing procedure for product assembly.
In one embodiment, as shown in fig. 2, after step S130, the method may further include step S140.
Step S140: and uploading the test result to an MES big data server.
Specifically, the control device can be connected with the MES big data server through an RS232 serial port. After obtaining the test result of carrying out performance test to the module that awaits measuring, controlling means uploads the test result to MES big data server and carries out the data and gathers to in to carry out statistical analysis to the module trouble, improved module performance test's reliability.
Further, in one embodiment, with continued reference to fig. 2, after step S130, the method may further include step S150.
Step S150: and sorting and classifying and identifying the defective products obtained by classification.
Specifically, after determining that the module to be tested is a defective product, the control device may control the robot arm to sort the defective product to a defective product area, and perform information writing operation on an information tag of the defective product through an information reading and writing device disposed on the robot arm, so as to identify a specific fault type of the defective product, for example, which test is unqualified. In this embodiment, carry out letter sorting and classification sign to the defective products that the classification obtained, be convenient for follow-up just maintenance to unqualified module, improved the operation convenience.
According to the intelligent manufacturing method, the performance of the module to be tested transmitted by the material transmission device is tested and classified according to the MES database downloaded from the MES big data server, and the classified good products are output by the material transmission device to be assembled. The module that awaits measuring earlier carries out capability test to the module before the product equipment, only carries out subsequent equipment process with the yields that the test passes through, avoids because the unqualified product that leads to after the equipment of module breaks down, reduces and returns the factory to overhaul, and traditional product production mode has improved product production efficiency.
In one embodiment, an intelligent manufacturing system is also provided, as shown in fig. 3, comprising a material transporting device 110, a robot arm, a modular testing device 120, a control device 130, and a MES big data server 140, wherein the modular testing device 120 is disposed with the material transporting device 110, and the control device 130 is connected to the modular testing device 120, the robot arm, and the MES big data server 140.
The control device 130 is used for controlling the mechanical arm to place the module to be tested on the material conveying device 110, and controlling the module testing device 120 to perform performance testing on the module to be tested according to the MES database downloaded from the MES big data server 140 to obtain a testing result; the MES database stores parameters required for performance test of the module to be tested; the module to be tested is classified according to the test result, and the classified good products are placed on the material conveying device 110 through the mechanical arm. The material conveying device 110 is used for conveying the module to be tested to the module testing device 120 and outputting the classified good products; wherein, the good products obtained by classification are used for product assembly.
Specifically, the control device 130 outputs an electrical signal to the driving mechanism of the robot arm, so that the driving mechanism drives the robot arm to pick up the module to be tested. In this embodiment, the control device 130 is a PLC controller. The PLC is adopted for production control, and the device is high in reliability, strong in anti-interference capability and strong in applicability. It is understood that the specific operation principle of the intelligent manufacturing system is explained in detail in the above intelligent manufacturing method, and is not described herein again.
In one embodiment, the control device 130 is further configured to control the module testing device 120 to perform a performance test on the module to be tested after receiving the test start instruction; and controls the module testing apparatus 120 to stop testing after receiving the test ending instruction. And the test starting and ending control is carried out according to the received instruction, so that the convenience of the module test operation is improved.
In one embodiment, the module testing apparatus 120 includes a testing platform disposed on the material transporting apparatus 110 for placing the module to be tested, and a testing component connected to the control apparatus 130 and electrically connected to the module to be tested. The test platform is used for setting the module to be tested, and then the test assembly is electrically connected with the module to be tested so as to test the performance, so that the operation is convenient and reliable.
To facilitate a better understanding of the above-described intelligent manufacturing method and system, the following detailed description of specific embodiments is provided.
As shown in fig. 4, the intelligent manufacturing is based on MES big data support service, and includes four processes of automatic loading and unloading, automatic product testing, intelligent product judgment and automatic product sorting. The automatic feeding and discharging comprises the steps of automatically controlling a mechanical arm to take and place materials, automatically controlling equipment to convey and transfer the materials and automatically initiating a test starting instruction; the automatic product test comprises the steps of automatically acquiring the matching of module information and MES data, automatically testing various functions and performances of the product, and automatically uploading test data to the MES or returning the test data; the intelligent product judgment comprises the steps of automatically judging products according to set specifications, monitoring product data according to MES big data and intelligently setting product specifications according to the MES big data; the automatic sorting product comprises an automatic control mechanical arm for sorting defective products, automatic control equipment for classifying and identifying the defective products and an automatic initiating and ending test instruction.
Above-mentioned intelligence manufacturing system carries out capability test and classification to the module that awaits measuring of material transmission device transmission according to the MES database of downloading from MES big data server, and the yields that will classify and obtain are passed through material transmission device output and are supplied to carry out the product equipment. The module that awaits measuring earlier carries out capability test to the module before the product equipment, only carries out subsequent equipment process with the yields that the test passes through, avoids because the unqualified product that leads to after the equipment of module breaks down, reduces and returns the factory to overhaul, and traditional product production mode has improved product production efficiency.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A smart manufacturing method, comprising:
acquiring a module to be tested transmitted by a material transmission device;
performing performance test on the module to be tested according to an MES database downloaded from an MES big data server to obtain a test result; the MES database stores parameters required for performing performance test on the module to be tested;
classifying the module to be tested according to the test result, and outputting the classified good products through the material conveying device; wherein, the good products obtained by classification are used for product assembly.
2. The method as claimed in claim 1, wherein the performing the performance test on the module under test according to the MES database downloaded from the MES big data server to obtain the test result comprises:
reading information of an information tag carried by the module to be tested to obtain information of the module to be tested;
acquiring corresponding test parameters from the MES database according to the information of the module to be tested;
and performing performance test on the module to be tested according to the test parameters to obtain a test result.
3. The method of claim 2, wherein the test parameters include at least one of voltage test parameters, current test parameters, and power test parameters.
4. The method of claim 2, wherein the information tag is a radio frequency tag or a bar code tag.
5. The method as claimed in claim 1, wherein the performing the performance test on the module under test according to the MES database downloaded from the MES big data server further comprises:
and uploading the test result to the MES big data server.
6. The method of claim 1, wherein after classifying the module to be tested according to the test result and outputting the classified good products through the material conveying device, the method further comprises:
and sorting and classifying and identifying the defective products obtained by classification.
7. An intelligent manufacturing system is characterized by comprising a material conveying device, a mechanical arm, a module testing device, a control device and an MES big data server, wherein the module testing device is arranged on the material conveying device, the control device is connected with the module testing device, the mechanical arm and the MES big data server,
the control device is used for controlling the mechanical arm to place the module to be tested on the material conveying device, and controlling the module testing device to perform performance testing on the module to be tested according to an MES database downloaded from an MES big data server to obtain a testing result; the MES database stores parameters required for performing performance test on the module to be tested; classifying the module to be tested according to the test result, and placing the classified good products on the material conveying device through the mechanical arm;
the material conveying device is used for conveying the module to be tested to the module testing device and outputting the classified good products; wherein, the good products obtained by classification are used for product assembly.
8. The system according to claim 7, wherein the control device is further configured to control the module testing device to perform the performance test on the module under test after receiving the test starting instruction; and after receiving the test finishing instruction, controlling the module testing device to stop testing.
9. The system according to claim 7, wherein the module testing device comprises a testing platform and a testing component, the testing platform is disposed on the material conveying device and used for placing the module to be tested, and the testing component is connected to the control device and electrically connected to the module to be tested.
10. The system according to any one of claims 7 to 9, wherein the control means is a PLC controller.
CN201910262180.3A 2019-04-02 2019-04-02 Smart manufacturing method and system Pending CN111766836A (en)

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Application publication date: 20201013