CN111474903A - Production data collection method, production apparatus, and computer-readable storage medium - Google Patents

Production data collection method, production apparatus, and computer-readable storage medium Download PDF

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CN111474903A
CN111474903A CN202010246115.4A CN202010246115A CN111474903A CN 111474903 A CN111474903 A CN 111474903A CN 202010246115 A CN202010246115 A CN 202010246115A CN 111474903 A CN111474903 A CN 111474903A
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test
data
production
product
equipment
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张学琴
杨飞飞
王树华
陈海燕
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Shenzhen Jingjiang Yunchuang Technology Co Ltd
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Shenzhen Jingjiang Yunchuang Technology Co Ltd
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    • 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] or computer integrated manufacturing [CIM]
    • G05B19/4183Total 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 data acquisition, e.g. workpiece identification
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/31From computer integrated manufacturing till monitoring
    • G05B2219/31282Data acquisition, BDE MDE
    • 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]
    • 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
    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

The invention provides a production data collection method, which comprises the steps of checking a control bit of each test work station on a production device when the production device is started; inputting a product serial number to control the test equipment of the test station to test the product according to the control bit; controlling processing equipment on a processing station to monitor the operation process of processing the product; acquiring test data collected and returned by each test device and device data collected and returned by each processing device; converting the acquired test data and the acquired equipment data into a preset data type; and uploading the test data and the equipment data to a server. The invention also provides a production device and a computer readable storage medium. The invention provides a data base for monitoring the product quality, analyzing the product quality, improving the production process and verifying the product stage, provides data reference for fault analysis and fault maintenance of production equipment, and effectively improves the intellectualization of industrial production.

Description

Production data collection method, production apparatus, and computer-readable storage medium
Technical Field
The present invention relates to the field of manufacturing, and in particular, to a method and an apparatus for collecting production data, and a computer-readable storage medium.
Background
Nowadays, industrial production technology tends to develop intelligently, and the collection of production data is also an important link of industrial production process. At present, many factories mainly collect data such as product orders, production scheduling, production decision plans and the like, but less collect quality data, processing technology data, production and manufacturing parameters and the like of each product in the production and manufacturing process, or only collect data observed by some plans, so that the quality of the product cannot be monitored according to global production data, and the quality analysis and the production technology improvement of industrial production are not facilitated.
Disclosure of Invention
In view of the above, it is desirable to provide a production data collection method, a production apparatus and a computer readable storage medium, which can collect product test information and equipment operation information during a production process, and provide a data base for product quality monitoring, quality analysis and production process improvement.
A first aspect of the present invention provides a production data collection method including:
when the production device is started, checking a control bit of each test station on the production device;
inputting a product serial number to control the test equipment of the test station to test the product according to the control bit;
controlling processing equipment on a processing station to monitor the operation process of processing the product;
acquiring test data collected and returned by each test device and device data collected and returned by each processing device;
converting the acquired test data and the acquired equipment data into a preset data type; and
and uploading the test data and the equipment data to a first storage area of a server.
Preferably, the test data collected by all the test stations and the equipment data collected by all the processing stations correspond to the product serial number.
Preferably, the test data collected by each test station includes test items of the product, where the test items include a product serial number, test items obtained by each test device through a sensor, a network status between the test device and the server, a log of each test device, a start test time, an end test time, and a total test time.
Preferably, the test data of each test item includes a name of the test item, a test value, a range of standard values corresponding to the test value, a test result, a test start time, a test end time, and a test total time of the test item.
Preferably, the equipment data collected by each processing station includes a product serial number, a network status between the processing equipment and the server, equipment operation monitoring data, a processing start time, a processing end time, and a total processing time, and the equipment operation monitoring data includes a spindle rotation speed, vibration, an operating pressure, a wear degree of a core component, a torque, a temperature, and a humidity of the processing equipment.
Preferably, the equipment operation monitoring data includes a machining process name, a monitoring value, a standard value range corresponding to the monitoring value, a monitoring result, machining start time, machining end time and total machining time.
Preferably, the method further comprises:
and updating and writing the control bit of the corresponding test station into the product and/or the server according to the test result in the test data.
Preferably, the method further comprises:
screening out key data of each product from the obtained test data and the equipment data; and
and uploading the screened key data to a second storage area of the server.
Preferably, the method further comprises:
and inquiring test data and/or equipment data in the server through at least one keyword, wherein the keyword is one or more of a product serial number, a test station name, a processing station name, a test time period, a processing time period, a product model and a production stage of a product.
Preferably, the method further comprises:
and when the test result in the test data and/or the monitoring result in the equipment data are abnormal, sending the abnormal test result and/or the abnormal monitoring result to the electronic equipment of a worker.
Preferably, the serial number of the product includes name information, place of production information, production engineering stage information, model information, and a serial number of the product.
A second aspect of the present invention provides a production apparatus comprising:
a processor; and
a memory in which a plurality of program modules are stored, the program modules being loaded by the processor and executing the production data collection method described above.
A third aspect of the invention provides a computer-readable storage medium having stored thereon at least one computer instruction, the instruction being loaded by a processor and performing the method of production data collection described above.
The production data collection method, the production device and the computer readable storage medium can collect product test information and equipment working information in the production process, provide a data base for monitoring product quality, quality analysis, production process improvement and stage verification, provide data reference for fault analysis and fault maintenance of production equipment, and effectively improve the intelligence of industrial production.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic diagram of an application environment architecture of a production data collection method according to a preferred embodiment of the present invention.
FIG. 2 is a schematic layout of the processing and testing stations of the manufacturing apparatus in accordance with the preferred embodiment of the present invention.
FIG. 3 is a schematic structural diagram of a production apparatus according to a preferred embodiment of the present invention.
FIG. 4 is a schematic diagram of a production data collection system according to a preferred embodiment of the present invention.
FIG. 5 is a block diagram of test data and device data according to the preferred embodiment of the present invention.
FIG. 6 is a flow chart of a method of collecting production data in accordance with a preferred embodiment of the present invention.
Description of the main elements
Production apparatus 1
Processor 10
Production data collection system 100
Inspection module 101
Control module 102
Acquisition module 103
Conversion module 104
Upload module 105
Write module 106
Screening module 107
Query module 108
Sending module 109
Memory 20
Computer program 30
Test station 40
Test apparatus 401
Machining station 50
Processing apparatus 501
Server 2
Steps S401-S410
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a detailed description of the present invention will be given below with reference to the accompanying drawings and specific embodiments. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth to provide a thorough understanding of the present invention, and the described embodiments are merely a subset of the embodiments of the present invention, rather than a complete embodiment. 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.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
Fig. 1 is a schematic diagram of an application environment architecture of a production data collection method according to a preferred embodiment of the invention.
The production data collection method is applied to a production device 1, and the production device 1 and a server 2 establish communication connection through a network. The network may be a wired network or a Wireless network, such as radio, Wireless Fidelity (WIFI), cellular, satellite, broadcast, etc.
The production apparatus 1 may be a production line apparatus in which a production data collection program is installed. The server 2 may be a single server, a server cluster or a cloud server.
Fig. 2 is a schematic structural diagram of a preferred embodiment of the production apparatus of the present invention.
The production apparatus 1 includes, but is not limited to, a processor 10, a memory 20, a computer program 30 stored in the memory 20 and executable on the processor 10, a plurality of test stations 40, and a plurality of process stations 50. The computer program 30 is a production data collection program. The processor 10, when executing the computer program 30, implements steps in a production data collection method, such as steps S401 to S410 shown in fig. 4. Alternatively, the processor 10, when executing the computer program 30, implements the functions of each module/unit in the production data collection system, such as the module 101 and 109 in fig. 3.
Illustratively, the computer program 30 may be partitioned into one or more modules/units that are stored in the memory 20 and executed by the processor 10 to implement the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution process of the computer program 30 in the production apparatus 1. For example, the computer program 30 may be divided into an inspection module 101, a control module 102, an acquisition module 103, a conversion module 104, an upload module 105, a write module 106, a filter module 107, a query module 108, and a send module 109 in fig. 3. The specific functions of each module are referred to the functions of each module in the production data collection system embodiment.
It will be understood by those skilled in the art that the schematic diagram is merely an example of the production apparatus 1, and does not constitute a limitation of the production apparatus 1, and may include more or less components than those shown, or combine some components, or different components, for example, the production apparatus 1 may further include an input-output device, a network access device, a bus, etc.
The Processor 10 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor 10 may be any conventional processor or the like, the processor 10 being the control center of the production apparatus 1, various interfaces and lines connecting the various parts of the entire production apparatus 1.
The memory 20 may be used to store the computer program 30 and/or the module/unit, and the processor 10 may implement various functions of the production apparatus 1 by running or executing the computer program and/or the module/unit stored in the memory 20 and calling data stored in the memory 20. The memory 20 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data created according to the use of the production apparatus 1, and the like. In addition, the memory 20 may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The test station 40 comprises at least test equipment 401 for testing the product. The processing station 50 comprises at least a processing device 501 for processing the product. The product can be a mobile phone, a computer, a television, a smart phone and the like.
Referring to fig. 2, in the present embodiment, each of the testing stations 40 and each of the processing stations 50 in the production apparatus 1 are disposed adjacent to and independent from each other. In other embodiments, each station in the production apparatus 1 may be integrated with the test station 40 and the processing station 50.
Referring to FIG. 3, a functional block diagram of a preferred embodiment of the production data collection system of the present invention is shown.
In some embodiments, a production data collection system 100 operates in the production device 1. The production data collection system 100 may include a plurality of functional modules comprised of program code segments. Program code for various program segments in the production data collection system 100 may be stored in the memory 20 of the production device 1 and executed by the at least one processor 10 to perform production data collection functions.
In this embodiment, the production data collection system 100 may be divided into a plurality of functional modules according to the functions it performs. Referring to fig. 3, the functional modules may include an inspection module 101, a control module 102, an acquisition module 103, a conversion module 104, an upload module 105, a write module 106, a filter module 107, a query module 108, and a send module 109. The module referred to in the present invention refers to a series of computer program segments capable of being executed by at least one processor and performing a fixed function, which are stored in the memory 20. It will be appreciated that in other embodiments the modules may also be program instructions or firmware (firmware) that are fixed in the processor 10.
The checking module 101 is configured to check a control bit of each test station 40 on the production apparatus 1 when the production apparatus 1 is turned on.
In this embodiment, the control bits are used to identify the test status of the product at the test station 40, including four test statuses, namely, Passed, Failed, Untested, and Incomplete. When the test results of all the test items of the test station 40 are normal, the control bit of the test station 40 is Passed, which may be written as CBMT1 (test station name) Passed; when the test station 40 has at least one test item failing the test, the control bit of the test station 40 is Failed, which may be written as CB MT1 Failed, for example; when the test station 40 is not performing any test items, then the control bit of the test station 40 is Untested, which may be written as CB MT1Untested, for example; when the testing process of the testing station 40 is terminated, the control bit of the testing station 40 is an Incomplete, which can be written as CB MT1 Incomplete, for example. In this embodiment, in the initial state, the control bits of all the test stations corresponding to a product are Untested.
It should be noted that the inspection module 101 may inspect the control bits of all the test stations 40 corresponding to the product, or may inspect the control bits of one or some of the test stations 40. For example, the Check module 101 checks that the command for the control bits of all the test station 40 is Check all CB, and when the test station 40 receives the command, returns the current control bits to the Check module 101. When the instruction for the Check module 101 to Check the control bits of one or part of the test station 40 is, for example, Check QT1 (test station name) CB, the current control bits are returned to the Check module 101 when the corresponding test station 40 receives the instruction.
The control module 102 is configured to input a product serial number to control the testing device 401 of the testing station 40 to test the product according to the control bit and control the processing device 501 of the processing station 50 to monitor an operation process of processing the product.
In the present embodiment, the serial number of the product includes name information, place of production information, production engineering stage information, model information, and a number of the product, for example, C1CNSZEVT6Q 202003300012. Specifically, in the exemplified serial numbers, C1 represents name information, CNSZ represents origin information, EVT represents production engineering stage information, 6Q represents model information, and 202003300012 represents a number. In this embodiment, the Production engineering stage information at least includes a New Product development (NPI) stage, a New Product prototype Design (PROTO) stage, a Design Verification Test (DVT) stage, an Engineering Verification Test (EVT) stage, a Production/Process Verification Test (PVT) stage, and a Mass Production (Mass Production) stage at the Production engineering stage.
In this embodiment, the control module 102 sends a serial number of a product whose production data is to be collected to the test station 40 and the processing station 50 as a control instruction, and when the test station 40 and the processing station 50 receive the serial number of the product, obtains the serial number of the currently tested or processed product and determines whether the obtained serial number is the same as the sent serial number. When the serial number of the currently tested or processed product is the same as the transmitted serial number, the control module 102 controls the testing device 401 of the testing station 40 to test the product and controls the processing device 501 of the processing station 50 to monitor the operation process of processing the product.
In this embodiment, the control module 102 controls the testing equipment of the testing station 40 to test the product according to the control bits. Specifically, when the control bit of the test station 40 is Passed, the control module 102 does not control the test equipment 401 of the test station 40 to test the product. When the control bit of the test station 40 is Failed, Untested, or Incomplete, the control module 102 controls the test equipment 401 of the test station 40 to test the product.
The acquiring module 103 is configured to acquire the test data collected and returned by each testing device 40 and the device data collected and returned by each processing device 50.
In this embodiment, the production data collected by the production apparatus 1 includes at least test data collected by the test station 40 and equipment data collected by the processing station 50, the test data collected by all the test stations 40 and the equipment data collected by all the processing stations 50 correspond to the product serial number, the test data collected by each test station 40 includes test items of the product, including, but not limited to, a product serial number, a test item acquired by each test equipment 401 through a sensor, a network state between the test equipment 401 and the server 2, a log of each test equipment 401, a start test time, an end test time, and a total test time.
In the present embodiment, the equipment data collected by each processing station 50 includes, but is not limited to, a product serial number, a network status between the processing equipment 501 and the server 2, equipment operation monitoring data, a processing start time, a processing end time, and a total processing time. The device operation monitoring data includes spindle rotation speed, vibration, operation pressure, wear degree of core components, torque, temperature, humidity, and the like of the processing device 501.
In the present embodiment, each processing station 50 is configured to process one of the components of the product, and each testing station 40 is configured to test the corresponding component of the product processed by the adjacent processing stations 50.
For example, a processing station 50 is used to assemble a speaker of a mobile phone product, and the processing device 501 detects device data such as spindle rotation speed, vibration, operating pressure, wear degree of core components, torque, temperature, and humidity during processing while processing. After the horn is assembled by the machining station 50, the acquiring module 103 acquires the device data collected by the machining device 501. A test station 40 adjacent to the said processing station 50 where the horn is processed is then used to test the assembled horn, the test items including the frequency at which the horn makes a sound and the horn to headphone sound switch value. Specifically, the testing device 401 of the testing station 40 controls the speaker of the mobile phone product to emit sound with a preset frequency through testing software, and then detects whether the frequency emitted by the speaker is within a corresponding standard value range through a sensor. The testing device 401 further controls the mobile phone product to be switched to the earphone to make sound through testing software, and then judges whether the sound switching value from the loudspeaker to the earphone is within a corresponding standard value range through a sensor. After the test items of the test station 40 are tested, the obtaining module 103 obtains the collected test values, standard value ranges, test results, test start time, test end time, and total test time from the test station 40.
For another example, another processing station 50 is configured to assemble L CD (L i quick Crystal Display) of a mobile phone product, and the processing device 501 detects device data such as spindle rotation speed, vibration, operating pressure, wear degree of core components, torsion, temperature, humidity, and the like during processing, and the processing device 501 acquires the device data collected by the processing device 501 after the processing station 50 completes L CD assembly, and then the testing station 40 adjacent to the processing station 50 that processes L CD is configured to test the assembled L CD, where the test items include saturation, specifically, the testing device 401 of the testing station 40 controls the respective L CD of the mobile phone product to Display one color through testing software, and then detects whether the displayed color is within a corresponding standard range through a color sensor, and after the test items of the testing station 40 are tested, the acquiring module 103 acquires the test values, standard values, test result ranges, test start time, and test end time collected from the testing station 40.
The conversion module 104 is configured to convert the acquired test data and the acquired device data into a preset data type.
Referring to fig. 5, in the present embodiment, the test data of each test item includes a name of the test item, a test value, a standard value range corresponding to the test value, a test result, a test start time, a test end time, and a test total time. Specifically, the conversion module 104 converts the test item name into a string type, converts the test value into a string/int/float/double type, converts the test result into a boolean type (pass or fail), and converts the test start time, the test end time, and the test total time into a time type.
In the present embodiment, each piece of equipment data includes, but is not limited to, a machining process name, an equipment operation monitoring data name, a monitoring value, a standard value range corresponding to the monitoring value, a monitoring result, a machining start time, a machining end time, and a machining total time. Each device data may include a plurality of device operation monitoring data names and their corresponding monitoring values, standard value ranges and monitoring results. Specifically, the conversion module 104 converts the name of the machining process into a string type, converts the device operation monitoring data into a string/int/float/double type, converts the monitoring result of the data into a boolean type (pass or fail), and converts the machining start time, the machining end time, and the total machining time into a time type.
The uploading module 105 is configured to upload the test data and the device data to a first storage area of a server 2 in communication with the production apparatus 1.
In the present embodiment, the server 2 includes a first storage area and a second storage area. Wherein, the first storage area is used for storing all test data and all equipment data generated by the production device 1.
In this embodiment, the server 2 or a background system communicatively connected to the server 2 may perform data analysis, such as mathematical modeling, data visualization, and the like, according to the test data and the device data.
The writing module 106 is configured to write the control bit update into the product and/or the server 2 according to a test result in the test data.
In this embodiment, when the control bit determined according to the test result in the test data is different from the current control bit, the writing module 106 writes the determined control bit into the product and/or the server 2. For example, when the test result includes fail, it is determined that the control bit of the test station 40 corresponding to the test result is Failed, and if the control bit of the test station 40 is Untested, the writing module 106 updates the control bit of the test station 40 to Failed, and writes the updated control bit of the test station 40 into the hardware test result memory of the product and/or the software data record of the server 2 and the test station control bit corresponding to the product.
The screening module 107 is configured to screen key data of each product from the acquired test data and the acquired device data.
In the present embodiment, the key data is data representing core indexes and parameters of the product, which is derived from key core data of each product in all processes of processing or testing, such as software version, L CD light saturation, MAC address, and the like.
In this embodiment, each type of product includes preset key data, each testing station 40 and each processing station 50 have a key data marking function, and can mark the preset key data in the acquired testing data and equipment data, and the screening module 107 screens the marked data from the testing data and the equipment data acquired by the acquiring module 103 to obtain the key data of each product, so as to compare and analyze the key data between different products, and establish a model. As shown in fig. 5, the key data includes, but is not limited to, key data names, values and standard value ranges corresponding to the values.
The uploading module 105 is further configured to upload the critical data to a second storage area of the server 2. In this embodiment, the second storage area is a storage location of critical data.
The query module 108 is configured to query the test data and/or the device data in the server 2 through at least one input keyword.
In this embodiment, the keyword may be one or more of a product serial number, a test station name, a processing station name, a test time period, a processing time period, a product model, and a production stage of a product.
Specifically, when the keyword input by the user is a product serial number, the query module 108 may query the test data of the product at each test station and the equipment data at each processing station. When the keyword input by the user is the name of the test station, the query module 108 may query the test data of all the products at the test station. When the keyword input by the user is the name of the processing station, the query module 108 may query the device data of all products at the processing station. When the keyword input by the user is a test time period, the query module 108 may query the test data and the device data of all the products in the test time period. When the keyword input by the user is a product model, the query module 108 may query the test data and the device data of the model product. When the keyword input by the user is the production stage of the product, the query module 108 may query the test data and the device data of all the products in the production stage.
The sending module 109 is configured to send the abnormal test result and/or monitoring result to the electronic device of the worker when the test result and/or monitoring result is abnormal.
In this embodiment, the sending module 109 may send the abnormal test result and/or the abnormal monitoring result to the electronic device of the staff through a mail, a short message, a WeChat, a telephone, or the like. The electronic device of the staff member may be a smartphone or a personal computer.
Fig. 6 is a flow chart of a production data collection method according to the present invention. The order of the steps in the flow chart may be changed and some steps may be omitted according to different needs.
Step S401, when the production apparatus 1 is turned on, checking a control bit of each test station 40 on the production apparatus 1.
Step S402, inputting a serial number of a product to control the testing device 401 of the testing station 40 to test the product according to the control bit.
Step S403, controlling the processing equipment 501 on the processing station 50 to monitor the operation process of processing the product.
In step S404, the test data collected and returned by each test device 40 and the device data collected and returned by each processing device 50 are obtained.
Step S405, converting the acquired test data and the acquired equipment data into preset data types.
Step S406, uploading the test data and the device data to a first storage area of a server.
Step S407, updating and writing the control bit into the product and/or the server 2 according to the test result in the test data.
And step S408, screening out key data of each product from the acquired test data and the acquired equipment data.
Step S409, uploading the key data to a second storage area of the server 2.
And S410, when the test result and/or the monitoring result are abnormal, sending the abnormal test result and/or the abnormal monitoring result to the electronic equipment of a worker.
Further, the method comprises the steps of: and inquiring the test data and/or the equipment data in the server 2 through the input at least one keyword.
The modules/units integrated by the production apparatus 1 may be stored in a computer-readable storage medium if they are implemented in the form of software functional units and sold or used as separate products. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and which, when executed by a processor, may implement the steps of the above-described embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The production data collection method, the production device and the computer readable storage medium can collect product test data and equipment working data in the production process, provide a data base for monitoring product quality, quality analysis, production process improvement and stage verification, provide data reference for fault analysis and fault maintenance of production equipment, and effectively improve the intelligence of industrial production.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. Several units or means recited in the apparatus claims may also be embodied by one and the same item or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (13)

1. A method of production data collection, the method comprising:
when the production device is started, checking a control bit of each test station on the production device;
inputting a product serial number to control the test equipment of each test station to test the product according to the control bit;
controlling processing equipment on a processing station to monitor the operation process of processing the product;
acquiring test data collected and returned by each test device and device data collected and returned by each processing device;
converting the acquired test data and the acquired equipment data into a preset data type; and
uploading the test data and the equipment data to a first storage area of a server in communication with the production device.
2. The production data collection method according to claim 1, wherein: the test data collected by all the test stations and the equipment data collected by all the processing stations correspond to the product serial number.
3. The production data collection method according to claim 2, wherein: the test data collected by each test station comprises test items of the product, wherein the test items comprise a product serial number, test items acquired by each test device through a sensor, a network state between the test device and the server, a log of each test device, a start test time, an end test time and a total test time.
4. The production data collection method according to claim 3, wherein: the test data of each test item comprises the name of the test item, a test value, the range of the standard value corresponding to the test value, a test result, test starting time, test ending time and test total time of the test item.
5. The production data collection method according to claim 2, wherein: the equipment data collected by each processing station comprises a product serial number, a network state between the processing equipment and the server, equipment operation monitoring data, processing starting time, processing ending time and total processing time, wherein the equipment operation monitoring data comprises the main shaft rotating speed, vibration, operating pressure, the abrasion degree of core parts, torsion, temperature and humidity of the processing equipment.
6. The production data collection method according to claim 5, wherein: the equipment operation monitoring data comprises a machining process name, an equipment operation monitoring data name, a monitoring value, a standard value range corresponding to the monitoring value, a monitoring result, machining starting time, machining finishing time and machining total time.
7. The production data collection method of claim 1, wherein the method further comprises:
and updating and writing the control bit of the corresponding test station into the product and/or the server according to the test result in the test data.
8. The production data collection method of claim 1, wherein the method further comprises:
screening out key data of each product from the obtained test data and the equipment data; and
and uploading the screened key data to a second storage area of the server.
9. The production data collection method of claim 1, wherein the method further comprises:
and inquiring test data and/or equipment data in the server through at least one keyword, wherein the keyword is one or more of a product serial number, a test station name, a processing station name, a test time period, a processing time period, a product model and a production stage of a product.
10. The production data collection method of claim 1, wherein the method further comprises:
and when the test result in the test data and/or the monitoring result in the equipment data are abnormal, sending the abnormal test result and/or the abnormal monitoring result to the electronic equipment of a worker.
11. The production data collection method according to claim 1, wherein: the serial number of the product comprises name information, place of production information, production engineering stage information, model information and serial number of the product.
12. A production apparatus, characterized in that the production apparatus comprises:
a processor; and
a memory having stored therein a plurality of program modules that are loaded by the processor and execute the production data collection method of any of claims 1-11.
13. A computer-readable storage medium having stored thereon at least one computer instruction, wherein the instruction is loaded by a processor and performs the production data collection method of any of claims 1-11.
CN202010246115.4A 2020-03-31 2020-03-31 Production data collection method, production apparatus, and computer-readable storage medium Pending CN111474903A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118445096A (en) * 2023-10-26 2024-08-06 荣耀终端有限公司 Fault processing method and fault processing system

Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1087280A2 (en) * 1999-09-24 2001-03-28 Fa. NAMAR'S Trade Consulting & Engineering Dipl.-Ing. Omar Nammari KEG Method for determining a faulty tool in a production line and production line therefore
CN1501089A (en) * 2002-11-07 2004-06-02 伊斯梅卡半导体控股公司 Method and apparatus for testing electronic components
CN1722141A (en) * 2004-07-17 2006-01-18 鸿富锦精密工业(深圳)有限公司 Data acquisition system (DAS) and method
CN1841038A (en) * 2005-04-01 2006-10-04 深圳富泰宏精密工业有限公司 Apparatus and method for autotest of key
CN101193154A (en) * 2006-11-24 2008-06-04 鸿富锦精密工业(深圳)有限公司 Testing data integration system and method for mobile phone product
CN101577923A (en) * 2008-05-08 2009-11-11 鸿富锦精密工业(深圳)有限公司 Mobile phone testing system and mobile phone testing method
CN104516810A (en) * 2013-09-27 2015-04-15 鸿富锦精密工业(深圳)有限公司 Testing system and method of electronic equipment
CN204576213U (en) * 2015-02-16 2015-08-19 华冠通讯(江苏)有限公司 Mobile phone automatized production system
CN105573269A (en) * 2014-11-05 2016-05-11 中芯国际集成电路制造(上海)有限公司 Parameter monitoring system for semiconductor manufacturing machine and method
CN106103006A (en) * 2014-03-06 2016-11-09 库卡系统有限责任公司 Manufacture work station, manufacture equipment and method
CN109100994A (en) * 2017-09-07 2018-12-28 惠州市德赛电池有限公司 A kind of production line for manufacturing battery method for real-time monitoring
CN209400916U (en) * 2019-04-02 2019-09-17 暨南大学 A kind of job Shop Management System based on Ethernet
CN110501956A (en) * 2019-09-03 2019-11-26 Oppo(重庆)智能科技有限公司 Production test alarm system, server and warning message acquire equipment

Patent Citations (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1087280A2 (en) * 1999-09-24 2001-03-28 Fa. NAMAR'S Trade Consulting & Engineering Dipl.-Ing. Omar Nammari KEG Method for determining a faulty tool in a production line and production line therefore
CN1501089A (en) * 2002-11-07 2004-06-02 伊斯梅卡半导体控股公司 Method and apparatus for testing electronic components
CN1722141A (en) * 2004-07-17 2006-01-18 鸿富锦精密工业(深圳)有限公司 Data acquisition system (DAS) and method
CN1841038A (en) * 2005-04-01 2006-10-04 深圳富泰宏精密工业有限公司 Apparatus and method for autotest of key
CN101193154A (en) * 2006-11-24 2008-06-04 鸿富锦精密工业(深圳)有限公司 Testing data integration system and method for mobile phone product
CN101577923A (en) * 2008-05-08 2009-11-11 鸿富锦精密工业(深圳)有限公司 Mobile phone testing system and mobile phone testing method
CN104516810A (en) * 2013-09-27 2015-04-15 鸿富锦精密工业(深圳)有限公司 Testing system and method of electronic equipment
CN106103006A (en) * 2014-03-06 2016-11-09 库卡系统有限责任公司 Manufacture work station, manufacture equipment and method
CN105573269A (en) * 2014-11-05 2016-05-11 中芯国际集成电路制造(上海)有限公司 Parameter monitoring system for semiconductor manufacturing machine and method
CN204576213U (en) * 2015-02-16 2015-08-19 华冠通讯(江苏)有限公司 Mobile phone automatized production system
CN109100994A (en) * 2017-09-07 2018-12-28 惠州市德赛电池有限公司 A kind of production line for manufacturing battery method for real-time monitoring
CN209400916U (en) * 2019-04-02 2019-09-17 暨南大学 A kind of job Shop Management System based on Ethernet
CN110501956A (en) * 2019-09-03 2019-11-26 Oppo(重庆)智能科技有限公司 Production test alarm system, server and warning message acquire equipment

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118445096A (en) * 2023-10-26 2024-08-06 荣耀终端有限公司 Fault processing method and fault processing system

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Application publication date: 20200731