CN114661003A - Production method based on edge calculation, edge calculation equipment, work station and system - Google Patents

Production method based on edge calculation, edge calculation equipment, work station and system Download PDF

Info

Publication number
CN114661003A
CN114661003A CN202011546738.XA CN202011546738A CN114661003A CN 114661003 A CN114661003 A CN 114661003A CN 202011546738 A CN202011546738 A CN 202011546738A CN 114661003 A CN114661003 A CN 114661003A
Authority
CN
China
Prior art keywords
production
data
work station
edge computing
analysis
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202011546738.XA
Other languages
Chinese (zh)
Inventor
徐渠
茹忆
季庆
卫士明
周晓伟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Alibaba Group Holding Ltd
Original Assignee
Alibaba Group Holding Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Alibaba Group Holding Ltd filed Critical Alibaba Group Holding Ltd
Priority to CN202011546738.XA priority Critical patent/CN114661003A/en
Publication of CN114661003A publication Critical patent/CN114661003A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
    • G06F9/5072—Grid computing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32252—Scheduling production, machining, job shop
    • 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]
    • 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
    • Y02P90/30—Computing systems specially adapted for manufacturing

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Manufacturing & Machinery (AREA)
  • General Health & Medical Sciences (AREA)
  • Automation & Control Theory (AREA)
  • Mathematical Physics (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • Quality & Reliability (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • General Factory Administration (AREA)

Abstract

The embodiment of the disclosure discloses a production method based on edge calculation, edge calculation equipment, a work station and a system, wherein the production method based on edge calculation is implemented by the edge calculation equipment, and the method comprises the following steps: collecting production data from stations of a production line, the production data collected from the stations including at least one of sensory data, image data, and production execution machine operating data for the stations; and inputting the production data collected from the work station into a first analysis model for analysis, and adjusting the production process of the production line according to the analysis result.

Description

Production method based on edge calculation, edge calculation equipment, work station and system
Technical Field
The embodiment of the disclosure relates to the technical field of intelligent manufacturing, and more particularly, to a production method based on edge calculation, an edge calculation device, a station of a production line, and a production system based on edge calculation.
Background
In a traditional production line, work stations and production line beats are set according to production requirements, and the production line arrangement mode has the problems of station discretization and solidification, so that the production process is difficult to adjust and is not flexible enough.
Disclosure of Invention
It is an object of embodiments of the present disclosure to provide an edge calculation based production method, an edge calculation device, a station of a production line and an edge calculation based production system, so as to improve the flexibility of the production line.
According to a first aspect of the present disclosure, there is provided an edge calculation-based production method, implemented by an edge calculation apparatus, the method comprising:
collecting production data from stations of a production line, the production data collected from the stations including at least one of sensory data, image data, and production execution machine operating data for the stations;
and inputting the production data collected from the work station into a first analysis model for analysis, and adjusting the production process of the production line according to the analysis result.
Optionally, the method further comprises: collecting production data from a manufacturing execution system, the production data collected from the manufacturing execution system including at least production target data and remaining material data;
and inputting the production data collected from the work station and the production data collected from the manufacturing execution system into a second analysis model for analysis, and adjusting the production beat of the production line according to the analysis result.
Optionally, the workstation comprises a display device, and the method further comprises:
and controlling a display device of the work station to display the production data and the production target data of the work station.
Optionally, the method further comprises:
and receiving a remote login request of the client equipment, and feeding back the collected production data and analysis results to the client equipment.
Optionally, the method further comprises:
and communicating with a cloud server to backup the collected production data and analysis results, and upgrading the software system of the edge computing equipment according to an upgrading instruction issued by the cloud server.
Optionally, the collecting production data from the stations of the production line comprises:
collecting production data from the work station by communicating with a proxy end-fixture installed in a control device of the work station.
According to a second aspect of the present disclosure, there is provided an edge computing device comprising a communication apparatus, a processor, and a memory;
the communication device is used for communicating with a work station of the production line;
the memory stores computer instructions, and the computer instructions, when executed by the processor, implement the production method provided by the first aspect of the disclosure.
Optionally, the edge computing device is implemented based on a raspberry pi platform.
According to a third aspect of the present disclosure, there is provided a work station of a production line, comprising a production execution machine, a sensor, an industrial camera, a communication device, and a control device;
the control device is provided with agent end firmware corresponding to the edge computing equipment.
According to a fourth aspect of the present disclosure, there is provided an edge calculation-based production system, comprising: an edge computing apparatus provided according to a second aspect of the present disclosure, and a station of a production line provided according to a third aspect of the present disclosure.
According to the production method provided by the embodiment of the disclosure, production data can be collected from the work stations of the production line and analyzed, and the production process of the production line is adjusted according to the analysis result, so that the flexibility of the production line is improved.
Features of embodiments of the present specification and advantages thereof will become apparent from the following detailed description of exemplary embodiments thereof, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the specification and together with the description, serve to explain the principles of the embodiments of the specification.
FIG. 1 shows a schematic view of a production system of an embodiment of the present disclosure;
FIG. 2 shows a schematic diagram of an edge computing device of an embodiment of the present disclosure;
FIG. 3 shows a schematic view of a workstation of an embodiment of the present disclosure;
fig. 4 shows a flow chart of an edge calculation based production method of an embodiment of the present disclosure.
Detailed Description
Various exemplary embodiments of the present specification will now be described in detail with reference to the accompanying drawings.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the embodiments, their application, or uses.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
Fig. 1 is a schematic diagram of a composition structure of a production system to which an embodiment according to the present disclosure can be applied.
As shown in fig. 1, the production system 100 of the present embodiment includes an MES system, an edge computing device, each station of the production line, and a client device.
The MES system is called manufacturing execution system in English and manufacturing execution system in Chinese. The MES system can be generally used for helping enterprises to realize production planning management, production process control, product quality management, workshop inventory management, project bulletin board management and the like, and the manufacturing execution capacity of the enterprises is improved.
In this embodiment, the production line includes N stations, each of which may be in communication with an edge computing device. Referring to fig. 3, the station includes a control device, a production execution machine, a sensor, an industrial camera, and a display.
The production executors may include jigs, tools, etc. that directly perform the production process. For example, the production effector includes a multi-degree of freedom robotic arm.
The sensors may include temperature sensors, optical sensors, ranging sensors, and the like.
The control device may control operations of the production execution machine, the sensor, the industrial camera, and the display, and acquire data from the production execution machine, the sensor, and the industrial camera, respectively. For example, operational data of the production execution machine is acquired from the production execution machine, sensor data is acquired from a sensor, and image data of a work station, which may be, for example, image data of a product at the work station, is acquired from an industrial camera. The control device is provided with agent end firmware corresponding to the edge computing equipment so as to execute the instructions of the edge computing equipment. Specifically, the edge computing device controls the workstation by interacting with agent firmware of the control device. The proxy end fixture encloses the communication interface to communicate with the production execution machine, the sensor, the industrial camera, and the display, respectively, to operate the devices in real time.
Edge computing refers to an open platform integrating network, computing, storage and application core capabilities on one side close to an object or a data source, a nearest-end service is provided nearby, an application program is initiated on the edge side, a faster network service response is generated, and basic requirements of the industry on real-time business, application intelligence, safety, privacy protection and the like are met.
In one embodiment of the present disclosure, the edge computing device may be disposed on the production line side. Referring to fig. 2, the edge computing device may include a processor 1100, a memory 1200, an interface device 1300, a communication device 1400, a display device 1500, and an input device 1600. The processor 1100 may include, but is not limited to, a central processing unit CPU, a microprocessor MCU, or the like. The memory 1200 includes, for example, a ROM (read only memory), a RAM (random access memory), a nonvolatile memory such as a hard disk, and the like. The interface device 1300 includes, for example, various bus interfaces such as a serial bus interface (including a USB interface), a parallel bus interface, and the like. Communication device 1400 is capable of wired or wireless communication, for example. The display device 1500 is, for example, a liquid crystal display, an LED display, a touch display, or the like. The input device 1600 may include, for example, a touch screen, a keyboard, a mouse, and the like.
The edge computing device includes a visual inspection analysis system. The edge computing device 1000 may be, for example, a raspberry pi platform based device with learning analysis capabilities.
In this embodiment, the memory 1200 of the edge computing device 1000 is configured to store instructions for controlling the processor 1100 to operate to implement or support the implementation of the edge computing based production method according to any of the embodiments. The skilled person can design the instructions according to the solution disclosed in the present specification. How the instructions control the operation of the processor is well known in the art and will not be described in detail herein.
The hardware configuration shown in fig. 2 is merely illustrative and is in no way intended to limit the present disclosure, its application, or uses.
The client device is, for example, an electronic device such as a desktop computer, a tablet computer, or a mobile phone, to which a client is installed. The client device is used for logging in the edge computing device through the installed client, managing and controlling the edge computing device, acquiring production data and analysis results from the edge computing device and displaying the production data and the analysis results to a user. In one embodiment of the present disclosure, a client device includes a processor, a memory, an interface means, a communication means, a display means, an input means. The processor may include, but is not limited to, a central processing unit CPU, a microprocessor MCU, etc. The memory includes, for example, a ROM (read only memory), a RAM (random access memory), a nonvolatile memory such as a hard disk, and the like. The interface means include, for example, various bus interfaces such as a serial bus interface (including a USB interface), a parallel bus interface, and the like. The communication device is capable of wired or wireless communication, for example. Examples of the display device include a liquid crystal display, an LED display, and a touch display. The input means may comprise, for example, a touch screen, a keyboard, a mouse, etc.
Referring to fig. 4, an edge calculation-based production method provided by an embodiment of the present disclosure is implemented by an edge calculation apparatus, and includes the following steps:
and S102, collecting production data from the work stations of the production line, wherein the production data collected from the work stations at least comprise at least one of sensing data, image data and production execution machine operation data of the work stations.
The sensing data may be data acquired by a sensor provided at the station. The sensory data may include at least temperature data of an environment in which the production execution machine is located, and air humidity data of the environment in which the production execution machine is located. The sensory data may also include performance data of the product at the station.
The image data may be data acquired by an industrial camera provided at the station. The image data may include at least image data of a station, which may be, for example, image data of a product at the station.
The production execution machine operational data includes at least status data. The status data is boolean data indicating, for example, that the production execution machine is in a normal state when the status data is "0", and indicating that the production execution machine is in a failure state when the status data is "1".
The production execution machine operational data may also include temperature data of the production execution machine, power consumption data of the production execution machine, and runtime of the production execution machine.
And S104, inputting the production data collected from the work station into the first analysis model for analysis, and adjusting the production process of the production line according to the analysis result.
That is, the edge computing device is provided with an algorithm model, which can process the production data collected from the work station in real time and adjust the production process of the production line.
In particular implementations, the first analytical model includes a surface defect analysis submodel and a performance analysis submodel. And inputting the image data of the product on the station collected by the station into a surface defect analysis sub-model for analysis and prediction to detect whether the product on the station has surface defects, namely whether the product on the station has defects such as cracks, depressions, foreign matters and the like, and obtaining a surface defect analysis result. And inputting the sensing data of the product on the work station collected by the work station into a performance analysis submodel for analysis and prediction so as to detect whether the product on the work station has performance defects and obtain a performance analysis result. And adjusting the production process of the production line according to the obtained surface defect analysis result and performance analysis result. According to the embodiment of the disclosure, production data can be collected from each work station in real time, so that the production process of the production line is adjusted in real time according to the collected production data, the production process is controlled, and the problem of discrete production procedures of the existing production line is solved.
In one embodiment, the method further comprises steps S202 and S204.
S202, collecting production data from the manufacturing execution system, wherein the production data collected from the manufacturing execution system at least comprises production target data and residual material data.
And S204, inputting the production data collected from the work station and the production data collected from the manufacturing execution system into a second analysis model for analysis, and adjusting the production rhythm of the production line according to the analysis result.
In other words, the edge computing equipment is provided with an algorithm model, so that the production data collected from the work station and the production data of the MES system can be processed in real time to adjust the process rhythm.
For example, the temperature data of the production execution machine, the power consumption data of the production execution machine, the temperature data of the environment in which the production execution machine is located, the air humidity data of the environment in which the production execution machine is located, and the production target data and the remaining material data collected from the manufacturing execution system are input to the second analysis model to be analyzed, and the production tempo of the production line is adjusted according to the analysis result to speed up the production tempo when the production target data is not completed and avoid that production recognition cannot be completed on time, and slow down the production tempo when the temperature of the production execution machine is too high or the operation time is too long, so that the production execution machine can be prevented from malfunctioning due to overload work.
The production method provided by the embodiment of the disclosure can realize the beat self-adjusting capability of the production line based on edge calculation, and solves the problems of fixed production line beat and waste of products in production caused by production bottleneck.
In one embodiment, the station includes a display device, the method further comprising: and controlling a display device of the work station to display the production data and the production target data of the work station.
In this embodiment, the production target data is delivered to the display device of the work station in real time, and a Key Performance Indicator (KPI) of the production line can be customized and displayed.
In this embodiment, when the production execution machine malfunctions, the display device may also be controlled to display malfunction information to give an alarm. When the temperature of the production execution machine exceeds the temperature threshold, the display device can be controlled to display early warning information to remind. When the running time of the production execution machine exceeds a time threshold, the display device can be controlled to display early warning information for reminding. And when the temperature of the environment where the production execution machine is located does not accord with the preset condition or/and the air humidity of the environment where the production execution machine is located does not accord with the preset condition, the display device can be controlled to display early warning information to remind. In addition, when the residual material data is insufficient, the display device can be controlled to display early warning information to remind of supplementing materials.
In one embodiment, the edge computing device supports local area network login and wide area network cloud login. For example, the edge computing device supports user login of a local area network, and after the user logs in, the user can perform operations such as device management and authority management.
In one embodiment, the method further comprises: and receiving a remote login request of the client equipment, and feeding back the collected production data and analysis results to the client equipment.
In this embodiment, a user may log in to the edge computing device through the client device, perform management control work on the edge computing device, and obtain production data and analysis results from the edge computing device to display to the user.
The client may be a Web end or a dedicated application app (application). The client device may be a fixed device or a mobile terminal.
In one embodiment, the method further comprises: and communicating with the cloud server to backup the collected production data and analysis results, and upgrading the software system of the edge computing equipment according to an upgrading instruction issued by the cloud server.
In the embodiment, the edge computing device and the cloud server are communicated to support the operation of the outer net and the mobile terminal and check the operation of a production line. The cloud server can be used for fusing other industrial internet cloud technologies or information flow and logistics interfaces, and supporting the sharing function of data, reports and analysis results at the cloud.
In one embodiment, collecting production data from stations of a production line comprises: production data is collected from the work station by communicating with a proxy end-fixing installed in a control device of the work station.
In one embodiment, the edge computing device is disposed on the production line side.
The production method provided by the embodiment of the disclosure is realized based on edge calculation, is oriented to the data acquisition of each bottom layer device of the work station, and reasonably controls the bottom layer devices of the work station by combining the MES system production information and the edge calculation layer self-learning algorithm model to form a deeper feedback link, thereby achieving the effects of improving the productivity, improving the quality control and improving the intelligent and automatic degree of a production line.
The production method provided by the embodiment of the disclosure is realized based on edge calculation, can realize real-time data collection and analysis, real-time screen projection display and decision and early warning assistance, and can solve the problems that the original data analysis needs manual input, offline analysis and large feedback delay.
The production method provided by the embodiment of the disclosure is realized based on edge calculation, and has the capability of collecting and calculating all data in real time and controlling equipment in real time, which is not possessed by an MES system.
The production method provided by the embodiment of the disclosure is realized based on edge calculation, more production detail data can be obtained, and the production method has positive significance for product multi-dimensional quality control after processing and analysis.
The production method provided by the embodiment of the disclosure is realized based on edge calculation, and can remotely control and adjust equipment on line through user management and equipment control center capacity carried by the edge calculation, and the production line has higher flexibility.
Embodiments of the present disclosure also provide an edge computing device comprising a communication apparatus, a processor, and a memory;
the communication device is used for communicating with a work station of the production line;
the memory stores computer instructions, and the computer instructions, when executed by the processor, implement the edge calculation-based production method disclosed in any one of the foregoing embodiments.
In one example, the edge computing device is implemented based on a raspberry pi platform.
In one example, the edge computing devices may be implemented as servers, and one server may carry the edge computing functions of multiple production lines, that is, one server acts as the edge computing device of multiple production lines, in this way, the hardware aggregation degree is higher, and the data collection and analysis tend to be more normalized.
Embodiments of the present disclosure also provide a work station of a production line, including a production execution machine, a sensor, an industrial camera, a communication device, and a control device. The communication device is used for communicating with the edge computing equipment. The control device is provided with agent end firmware corresponding to the edge computing equipment.
The embodiment of the disclosure also provides an edge calculation-based production system, which comprises the edge calculation device and the station. In one example, the production system further includes a manufacturing execution system.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the device and apparatus embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference may be made to some descriptions of the method embodiments for relevant points.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Embodiments of the present description may be devices, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement aspects of embodiments of the specification.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as punch cards or in-groove raised structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be interpreted as a transitory signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or an electrical signal transmitted through an electrical wire.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device over a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
Computer program instructions for carrying out operations for embodiments of the present description may be assembly instructions, Instruction Set Architecture (ISA) instructions, machine related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry can execute computer-readable program instructions to implement various aspects of embodiments of the specification by personalizing, with state information of the computer-readable program instructions, a custom electronic circuit, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Aspects of embodiments of the present specification are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices) and computer program products according to embodiments of the specification. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present description. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions. It is well known to those skilled in the art that implementation by hardware, by software, and by a combination of software and hardware are equivalent.
The foregoing description of the embodiments of the present specification has been presented for purposes of illustration and description, but is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.

Claims (10)

1. A method of edge-computing-based production, implemented by an edge computing device, the method comprising:
collecting production data from stations of a production line, the production data collected from the stations including at least one of sensory data, image data, and production execution machine operating data for the stations;
and inputting the production data collected from the work station into a first analysis model for analysis, and adjusting the production process of the production line according to the analysis result.
2. The method of claim 1, further comprising: collecting production data from a manufacturing execution system, the production data collected from the manufacturing execution system including at least production target data and remaining material data;
and inputting the production data collected from the work station and the production data collected from the manufacturing execution system into a second analysis model for analysis, and adjusting the production rhythm of the production line according to the analysis result.
3. The method of claim 1, wherein the workstation comprises a display device, the method further comprising:
and controlling a display device of the work station to display the production data and the production target data of the work station.
4. The method of claim 1, further comprising:
and receiving a remote login request of the client equipment, and feeding back the collected production data and analysis results to the client equipment.
5. The method of claim 1, further comprising:
and communicating with a cloud server to backup the collected production data and analysis results, and upgrading the software system of the edge computing equipment according to an upgrading instruction issued by the cloud server.
6. The method of claim 1, wherein said collecting production data from stations of a production line comprises:
collecting production data from the work station by communicating with a proxy end-fixture installed in a control device of the work station.
7. An edge computing device comprising a communication apparatus, a processor, and a memory;
the communication device is used for communicating with a work station of the production line;
the memory has stored therein computer instructions which, when executed by the processor, carry out the production method of any one of claims 1-6.
8. The edge computing device of claim 7, wherein the edge computing device is implemented based on a raspberry pi platform.
9. The work station of the production line is characterized by comprising a production execution machine, a sensor, an industrial camera, a communication device and a control device;
the control device is provided with agent end firmware corresponding to the edge computing equipment.
10. An edge-computing-based production system comprising: the edge computing device of any of claims 7-8, and the workstation of claim 9.
CN202011546738.XA 2020-12-23 2020-12-23 Production method based on edge calculation, edge calculation equipment, work station and system Pending CN114661003A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011546738.XA CN114661003A (en) 2020-12-23 2020-12-23 Production method based on edge calculation, edge calculation equipment, work station and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011546738.XA CN114661003A (en) 2020-12-23 2020-12-23 Production method based on edge calculation, edge calculation equipment, work station and system

Publications (1)

Publication Number Publication Date
CN114661003A true CN114661003A (en) 2022-06-24

Family

ID=82025215

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011546738.XA Pending CN114661003A (en) 2020-12-23 2020-12-23 Production method based on edge calculation, edge calculation equipment, work station and system

Country Status (1)

Country Link
CN (1) CN114661003A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111090243A (en) * 2018-10-23 2020-05-01 宁波方太厨具有限公司 Method for realizing intelligent interconnection of kitchen appliances

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111090243A (en) * 2018-10-23 2020-05-01 宁波方太厨具有限公司 Method for realizing intelligent interconnection of kitchen appliances
CN111090243B (en) * 2018-10-23 2023-04-14 宁波方太厨具有限公司 Method for realizing intelligent interconnection of kitchen appliances

Similar Documents

Publication Publication Date Title
US11558449B1 (en) Industrial controller system and interactive graphical user interfaces related thereto
US11349901B1 (en) Automated network discovery for industrial controller systems
EP3285127B1 (en) Remote industrial automation site operation in a cloud platform
US10552803B2 (en) Systems and methods for determining a potential failure or other status of a robotic device
WO2016168785A1 (en) Augmented manufacturing system
EP3869404A2 (en) Vehicle loss assessment method executed by mobile terminal, device, mobile terminal and medium
EP4134877A1 (en) Training method and apparatus for fault recognition model, fault recognition method and apparatus, and electronic device
US20230289568A1 (en) Providing an alarm relating to an accuracy of a trained function method and system
US20180122133A1 (en) System and method for displaying industrial asset alarms in a virtual environment
CN115576274A (en) Functional security system, method, and non-transitory computer readable medium
CN113762862A (en) Cargo abnormity monitoring method and device, electronic equipment and storage medium
CN113508349B (en) 360 ° assistance for QCS gantry with mixed reality and machine learning techniques
CN112904807B (en) Industrial analysis system, method, and non-transitory computer readable medium
CN114661003A (en) Production method based on edge calculation, edge calculation equipment, work station and system
US11281555B2 (en) Management device, management method, and management computer program product with area screen and apparatus screen control
US20180060987A1 (en) Identification of abnormal behavior in human activity based on internet of things collected data
US10878690B2 (en) Unified status and alarm management for operations, monitoring, and maintenance of legacy and modern control systems from common user interface
CN117412841A (en) Fleet configuration and management of dynamic mechanical systems
KR102653874B1 (en) Apparatus and method for safetyly and remotely controlling construction heavy equipment
EP4369120A1 (en) Industrial automation data quality and analysis
US20230401507A1 (en) Support device deployment
EP4369121A1 (en) Industrial data extraction
Monek et al. IIoT-Supported Manufacturing-Material-Flow Tracking in a DES-Based Digital-Twin Environment. Infrastructures 2023, 8, 75
Osman et al. Dependable CNC Controller using Raspberry pi and Cloud Computing
EP4369119A1 (en) Industrial automation data staging and transformation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination