WO2020118573A1 - Application configuration method, apparatus, system of industrial internet of things solution, computer software product, and readable medium - Google Patents

Application configuration method, apparatus, system of industrial internet of things solution, computer software product, and readable medium Download PDF

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Publication number
WO2020118573A1
WO2020118573A1 PCT/CN2018/120703 CN2018120703W WO2020118573A1 WO 2020118573 A1 WO2020118573 A1 WO 2020118573A1 CN 2018120703 W CN2018120703 W CN 2018120703W WO 2020118573 A1 WO2020118573 A1 WO 2020118573A1
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Prior art keywords
application
industrial internet
things
industrial
repository
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PCT/CN2018/120703
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French (fr)
Inventor
Qi Wang
Jun Jie Chen
He YU
Wen Jing ZHOU
Hai Tao ZHANG
Wan Li MA
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Siemens Aktiengesellschaft
Siemens Ltd., China
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Application filed by Siemens Aktiengesellschaft, Siemens Ltd., China filed Critical Siemens Aktiengesellschaft
Priority to CN201880099462.XA priority Critical patent/CN113039566A/en
Priority to EP18942921.0A priority patent/EP3877925A4/en
Priority to US17/312,062 priority patent/US20220026882A1/en
Priority to PCT/CN2018/120703 priority patent/WO2020118573A1/en
Publication of WO2020118573A1 publication Critical patent/WO2020118573A1/en

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    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
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    • 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
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    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
    • H—ELECTRICITY
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    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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    • H04L67/34—Network arrangements or protocols for supporting network services or applications involving the movement of software or configuration parameters 
    • H—ELECTRICITY
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    • G05B19/41885—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 modeling, simulation of the manufacturing system
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    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
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    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Definitions

  • the present invention relates to the industrial Internet of Things, and in particular, to an application configuration method, apparatus, and system of an industrial Internet of Things solution, a computer software product, and a readable medium.
  • An end-to-end solution of the industrial Internet of Things needs to collect bottom-layer data to an upper-layer application for development in a development process.
  • this industrial Internet of Things solution is user-customized. Therefore, the industrial Internet of Things solution generally relates to development of applications at an edge device end and an industrial cloud and integration of and alignment on interfaces of the edge device end and the industrial cloud. Therefore, the solution of the industrial Internet of Things encounters some challenges, including:
  • the bottom-layer data is data of a device on a production line in a factory, and an edge device is an object of collection and is connected to the bottom-layer device.
  • Customized development is performed on the industrial Internet of Things solution on the industrial cloud, and valuable information is visualized to an end user.
  • Alignment is performed on data interfaces for data obtaining at the edge device end and application development on the industrial cloud.
  • data obtaining at the edge device end and application development on the industrial cloud are separate.
  • data alignment needs to be performed on interfaces for data obtaining at the edge device end and application development on the industrial cloud.
  • a first aspect of the present invention provides an application configuration method of an industrial Internet of Things solution, including the following steps: S1, obtaining a resource recommendation prompt from a repository according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base or the repository to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud and at an edge device end with a configuration needed by the application; and S2, generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.
  • the repository includes:
  • an industrial cloud application repository storing a first application for the industrial cloud and/or a prompt for recommending the first application
  • an industrial Internet of Things model repository storing an industrial Internet of Things model and/or a prompt for recommending the industrial Internet of Things model
  • an edge device end application workflow template repository storing a workflow of an edge device end application and/or a prompt for recommending the workflow
  • an edge device end application repository storing a second application for an edge device end and/or a prompt for recommending the second application.
  • step S1 further includes the following sub-steps: S11, selecting the first application from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution; S12, generating, based on the first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application, obtaining a first prompt for selecting the industrial Internet of Things model from the industrial Internet of Things model repository according to the user customized demand, and invoking the selected industrial Internet of Things model and a context relationship of the first application of the industrial Internet of Things model from the knowledge base; S13, matching a workflow template from the edge device end application workflow template repository based on the industrial Internet of Things model, the workflow template including a plurality of second applications associated with each other, then matching a second prompt of the second application from the edge device end application repository according to the matched workflow template, and invoking a context relationship, a workflow, and the second application of the industrial Internet of Things model from the knowledge base, where the second application includes a preprocessing application and a
  • the context scene includes a relationship between the applications and a relationship between the applications and the industrial Internet of Things model.
  • step S11 further includes the following step: selecting a plurality of first applications from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution and integrating the plurality of first applications into a first application combination.
  • step S12 further includes the following step: generating, based on each first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application and integrating the plurality of industrial Internet of Things model combinations into an industrial Internet of Things model set.
  • step S2 further includes the following steps: generating a final industrial Internet of Things solution according to the matched first application and second application, and configurations and workflows needed by the first application and the second application; invoking the matched first application and second application from the industrial cloud application repository and the edge device end application repository or the knowledge base; and respectively deploying the first application and the second application to the industrial cloud and the edge device end.
  • the application configuration method further includes the following step: S3, updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base for repeated use.
  • a second aspect of the present invention provides an application configuration apparatus of an industrial Internet of Things solution, obtaining a resource recommendation prompt from a repository according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud and at an edge device end with a configuration needed by the application; and generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.
  • the repository includes:
  • an industrial cloud application repository storing a first application for the industrial cloud and/or a prompt for recommending the first application
  • an industrial Internet of Things model repository storing an industrial Internet of Things model and/or a prompt for recommending the industrial Internet of Things model
  • an edge device end application workflow template repository storing a workflow of an edge device end application and/or a prompt for recommending the workflow
  • an edge device end application repository storing a second application for an edge device end and/or a prompt for recommending the second application.
  • the application configuration apparatus of an industrial Internet of Things solution further includes: an application configuration apparatus, selecting the first application from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution; and generating, based on the first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application, obtaining a first prompt for selecting the industrial Internet of Things model from the industrial Internet of Things model repository according to the user customized demand, and invoking the selected industrial Internet of Things model and a context relationship of the first application of the industrial Internet of Things model from the knowledge base; an industrial Internet of Things model generation module, matching a workflow template from the edge device end application workflow template repository based on the industrial Internet of Things model, the workflow template including a plurality of second applications associated with each other, then matching a second prompt of the second application from the edge device end application repository according to the matched workflow template, and invoking a context relationship, a workflow, and the second application of the industrial Internet of Things model from the knowledge base, where the second application includes
  • the context scene includes a relationship between the applications and a relationship between the applications and the industrial Internet of Things model.
  • the application configuration apparatus further selects a plurality of first applications from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution and integrates the plurality of first applications into a first application combination.
  • the industrial Internet of Things model generation module further generates, based on each first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application and integrates the plurality of industrial Internet of Things model combinations into an industrial Internet of Things model set.
  • the application configuration apparatus of an industrial Internet of Things solution further includes a solution generation and application deployment module, generating a final industrial Internet of Things solution according to the matched first application and second application, and configurations and workflows needed by the first application and the second application; invoking the matched first application and second application from the industrial cloud application repository and the edge device end application repository or the knowledge base; and respectively deploying the first application and the second application to the industrial cloud and the edge device end.
  • the application configuration apparatus further includes a knowledge base improvement module 160, updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base for repeated use.
  • a knowledge base improvement module 160 updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base for repeated use.
  • a third aspect of the present invention provides an application configuration system of an industrial Internet of Things solution, including: a processor; and a memory coupled to the processor, where the memory has an instruction stored in the memory, the instruction enables the electronic device to execute an action when being executed by the processor, and the action includes: obtaining a resource recommendation prompt from a repository according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base or the repository to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud and at an edge device end with a configuration needed by the application; and generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.
  • the action further includes: selecting the first application from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution; generating, based on the first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application, obtaining a first prompt for selecting the industrial Internet of Things model from the industrial Internet of Things model repository according to the user customized demand, and invoking the selected industrial Internet of Things model and a context relationship of the first application of the industrial Internet of Things model from the knowledge base; matching a workflow template from the edge device end application workflow template repository based on the industrial Internet of Things model, the workflow template including a plurality of second applications associated with each other, then matching a second prompt of the second application from the edge device end application repository according to the matched workflow template, and invoking a context relationship, a workflow, and the second application of the industrial Internet of Things model from the knowledge base, where the second application includes a preprocessing application and a data obtaining application; and generating input/output data source configurations
  • the action further includes: selecting a plurality of first applications from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution and integrating the plurality of first applications into a first application combination.
  • the action further includes: generating, based on each first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application and integrating the plurality of industrial Internet of Things model combinations into an industrial Internet of Things model set.
  • the action further includes: generating a final industrial Internet of Things solution according to the matched first application and second application, and configurations and workflows needed by the first application and the second application; invoking the matched first application and second application from the industrial cloud application repository and the edge device end application repository or the knowledge base; and respectively deploying the first application and the second application to the industrial cloud and the edge device end.
  • the action further includes: updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base for repeated use.
  • a fourth aspect of the present invention further provides a computer program product, tangibly stored on a computer readable medium and including a computer executable instruction, enabling at least one processor to perform the method in the first aspect of the present invention when the computer executable instruction is executed.
  • a fifth aspect of the present invention provides a computer program, storing thereon a computer executable instruction, enabling at least one processor to perform the method in the first aspect of the present invention when the computer executable instruction is executed.
  • Advantages of the present invention lie in providing an end-to-end industrial Internet of Things solution, which implements that an application for the industrial cloud or the edge device end can be reused and reduces workloads of application development and communication between different parts of an industrial Internet of Things system.
  • the present invention is implemented with the aid of domain knowledge, which provides a simple solution, so that applications can be simply connected to each other, and the applications can be deployed in functions without additional development.
  • the present invention avoids excessively relying on experts and reduces workloads of providing a production line cloud service.
  • a repository connection provided in the present invention assists an industrial Internet of Things project as the knowledge base, a production line context scene can support recommending a simple process to a user, and the knowledge base may also be updated from a generated final industrial Internet of Things solution.
  • FIG. 1 is an architectural diagram of an application configuration mechanism for an industrial Internet of Things solution according to a specific embodiment of the present invention
  • FIG. 2 is a flowchart of steps of an application configuration method for an industrial Internet of Things solution according to a specific embodiment of the present invention
  • FIG. 3 is a schematic diagram of an industrial Internet of Things model of an application configuration mechanism for an industrial Internet of Things solution according to a specific embodiment of the present invention
  • FIG. 4 is a schematic diagram of a domain context scene recommended according to a context scene in a knowledge base of an application configuration mechanism for an industrial Internet of Things solution according to a specific embodiment of the present invention.
  • FIG. 5 is a schematic structural diagram of a knowledge base of an application configuration mechanism for an industrial Internet of Things solution according to a specific embodiment of the present invention.
  • the present invention provides an application configuration mechanism for an industrial Internet of Things solution, which may easily obtain a final industrial Internet of Things solution, make an application based on the final Internet of Things solution to be repeatedly used, and accelerate configurations of the edge device end based on a context scene of the application.
  • the present invention further integrates domain knowledge and reduces reliance on experts, so that an industrial Internet of Things project becomes easier for a non-expert developer.
  • FIG. 1 is an architectural diagram of an application configuration mechanism for an industrial Internet of Things solution.
  • an application configuration apparatus 100 is separately coupled to a repository 200, a knowledge base 300, an industrial cloud 400, and an edge device end 500.
  • the repository 200 includes various types of applications, models, and workflows and/or recommendation prompt information of the foregoing various types of applications, models, and workflows.
  • the knowledge base 300 includes a context scene and all information about historical industrial Internet of Things solutions.
  • An edge device is disposed in a factory and is connected to a plurality of production line devices. The edge device is used as an interface of an industrial cloud 400 and a production line and has a function of collecting data.
  • the application configuration apparatus 100 selects a resource from the knowledge base 300 according to a recommendation prompt in the repository 200 and according to a user customized demand, generates a model of the industrial Internet of Things solution, matches an application and a data interface and a parameter of the application, generates a final complete industrial Internet of Things solution, and deploys the application matching the solution to the industrial cloud 400 and the edge device end 500.
  • the application configuration apparatus 100 is a core module of the present invention and is configured to extract information from the repository 200 and the knowledge base 300, to generate an end-to-end Internet of Things solution (end-to-end IoT solution) , which helps enrich the knowledge base 300.
  • the application configuration mechanism of an industrial Internet of Things solution provided in the present invention combines applications, industrial Internet of Things models (IoT models) , and workflows. Because an application includes an application providing a service to an industrial cloud and implements a function at the edge device end, the present invention implements connectivity of an industrial Internet of Things system.
  • the application configuration apparatus 100 includes an application selection and combination module 110, an industrial Internet of Things model generation module 120, an edge device end workflow matching and recommendation module 130, a production line scene auxiliary configuration data obtaining module 140, a solution generation and application deployment module 150, and a knowledge base improvement module 160.
  • a first aspect of the present invention provides an application configuration method for an industrial Internet of Things solution, including the following steps.
  • step S1 obtaining a resource recommendation prompt from a repository 300 according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base 300 to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud 400 and at an edge device end 500 with a configuration needed by the application.
  • the industrial Internet of Things solution includes sets, industrial Internet of Things models, and workflows of different applications.
  • the industrial Internet of Things models and the workflows further include a plurality of applications and a mutual relationship between the applications.
  • An architecture of the industrial Internet of Things solution horizontally includes two parts, namely, the industrial cloud 400 and the edge device end 500.
  • the industrial cloud 400 and the edge device end 50 each include a specific or particular industrial Internet of Things model, an application, a workflow, and the like matching an overall solution.
  • the industrial Internet of Things model is related to a plurality of applications, and the industrial Internet of Things model defines data structures of the applications. Once the industrial Internet of Things model is determined, particular specific applications are determined. Therefore, data interfaces to which the particular specific applications correspond can be learned.
  • the repository 200 includes an industrial cloud application repository 210, an industrial Internet of Things model repository 220, an edge device end application workflow template repository 230, and an edge device end application repository 240.
  • the industrial cloud application repository 210 stores a first application APP 1 for the industrial cloud and/or a prompt for recommending the first application APP 1 .
  • the industrial Internet of Things model repository 220 stores an industrial Internet of Things model model 1 and/or a prompt for recommending the industrial Internet of Things model model 1 .
  • the edge device end application workflow template repository 230 stores a workflow WF 1 of the edge device end application and/or a prompt for recommending the workflow WF 1 .
  • the edge device end application repository 240 stores a second application APP 2 for the edge device end and/or a prompt for recommending the second application APP 2 .
  • step S1 further includes the following sub-steps.
  • First perform step S11 selecting the first application APP 1 and a parameter needed by the first application APP 1 from the industrial cloud application repository 210 of the repository 200 according to the user customized demand of the industrial Internet of Things solution.
  • a plurality of first applications APP 1 is selected from the industrial cloud application repository 210 of the repository 200 according to the user customized demand of the industrial Internet of Things solution, and the plurality of first applications APP 1 is integrated into a first application combination to complete an overall function.
  • the application configuration apparatus 100 includes an application selection and combination module 110, providing a user interface for an end user.
  • the end user may select, through the user interface, the first application APP 1 stored by the industrial cloud in the industrial cloud application repository 210.
  • the application selection and combination module 110 can select the needed first application APP 1 in the existing industrial cloud application repository 210 according to a user's choice or can integrate the plurality of different first applications APP 1 into a first application APP 1 combination to complete an overall function.
  • the parameter needed by the first application APP 1 may be set according to an input of the user in a user interface, and the application selection and combination module 110 may also map the first application APP 1 selected by the user to the needed parameter.
  • the first application APP 1 selected by the user or the integrated first application APP 1 combination is deployed onto the industrial cloud 400 to provide a service to the end user.
  • An input of the application selection and combination module 110 is the user customized demand or user interface input information, and outputs of the application selection and combination module 110 are the selected first application APP 1 or the first application APP 1 combination and the needed parameter thereof.
  • the industrial cloud application repository 210 is used to provide metadata of the selected one or more first applications APP 1 .
  • step S11 further includes the following step: selecting a plurality of first applications APP 1 from the industrial cloud application repository 210 of the repository according to the user customized demand of the industrial Internet of Things solution and integrating the plurality of first applications APP 1 into a first application combination.
  • the application configuration apparatus 100 includes an industrial Internet of Things model generation module 120, selecting the first prompt of the industrial Internet of Things model model 1 from the industrial Internet of Things model repository 220 according to the user customized demand.
  • the model is associated with the plurality of first applications APP 1 .
  • the industrial Internet of Things model generation module 120 queries the industrial Internet of Things model repository 220 and the knowledge base 300 to generate the industrial Internet of Things model model 1 based on the selected one or more first applications APP 1 in step S12.
  • the application on which the industrial Internet of Things model in the knowledge base 300 is based is associated with the first application APP 1 .
  • the first application APP 1 manages a plurality of production line devices.
  • One device may have an industrial Internet of Things model model 1 .
  • a television has a television model
  • a gearbox has a gearbox model.
  • a combination of a plurality of industrial Internet of Things models model 1 of all devices managed by a particular first application APP 1 is recommended in the first prompt of the industrial Internet of Things model repository 220.
  • the application is only associated with the industrial Internet of Things model, but the model needs to be invoked from the repository 200 or the knowledge base 300 according to information about the associated industrial Internet of Things model. Specifically, as shown in FIG.
  • the industrial Internet of Things models model 1 include industrial Internet of Things models model 11 and model 12 respectively corresponding to two devices.
  • the industrial Internet of Things model model 11 is selected according to user requirements.
  • the first industrial Internet of Things model model 11 includes two entities, one being a motor, and the other being a gearbox.
  • a relationship between the motor and the gearbox is that the motor drives the gearbox.
  • the motor includes a plurality of parameters: speed, current, and vibration.
  • the entity includes one parameter: torque.
  • step S12 includes the following step:
  • Inputs of the industrial Internet of Things model generation module 120 include:
  • the industrial Internet of Things model repository 120 including a plurality of industrial Internet of Things models model 1 , where the industrial Internet of Things model model 1 further includes entity information such as an apparatus, a machine, a variable, and an entity parameter.
  • the context scene includes connections between a plurality of applications and a relationship between the applications and the industrial Internet of Things model model 1 .
  • An output of the industrial Internet of Things model generation module 120 is the industrial Internet of Things model model 1 associated with the first application APP 1 .
  • the first application APP 1 may be run based on a data structure defined by the industrial Internet of Things model model 1 .
  • sub-step S13 matching a workflow template WF from the edge device end application workflow template repository 230 based on the industrial Internet of Things model model 1 , the workflow template WF including a plurality of second applications APP 2 associated with each other, then matching a second prompt of the second application APP 2 from the edge device end application repository 230 according to the matched workflow template WF, and invoking a context relationship, a workflow WF, and the second application APP 2 of the industrial Internet of Things model model 1 from the knowledge base 300, where the second application APP 2 includes a preprocessing application and a data obtaining application.
  • the edge device end workflow matching and recommendation module 130 is configured to help, with the aid of the knowledge base 300, the user automatically match and recommend the edge device end second application APP 2 .
  • An output of the workflow should match the industrial Internet of Things model model 1 generated in the foregoing step. Different industrial Internet of Things models model 1 should be covered by any one of outputs of the workflow WF and the second application APP 2 . After outputs of different industrial Internet of Things models model 1 are filled with an output of the edge device end 500, the first application APP 1 obtains sufficient data to provide a service to the end user.
  • inputs of the edge device end application repository 230 include:
  • a workflow template of the edge device end second application APP 2 .
  • the workflow template includes input/output information of the second application APP 2 .
  • the edge device end application repository 240 providing metadata of the second application APP 2 and an input/output model
  • Outputs of the edge device end application repository 230 are the matched workflow WF and second application APP 2 and a context scene thereof.
  • a workflow W template of the second application APP 2 is a set of workflows predefined for the second application APP 2 of the terminal device end 500.
  • the foregoing template is usually used for a combination of the second applications APP 2 of the terminal device end 500 and can be reused in a new project.
  • a workflow WF includes a plurality of second applications APP 2 and input/output wiring rules of these applications.
  • the workflow WF can be described by using RDF or JSON.
  • FIG. 3 shows an example of a workflow.
  • FIG. 4 is a schematic diagram of a domain context scene recommended according to a context scene in a knowledge base of an application configuration mechanism for an industrial Internet of Things solution. As shown in FIG.
  • the first workflow WF 1 includes four second applications, which are respectively a preprocessing application APP 21 , a preprocessing application APP 22 , a preprocessing application APP 23 , and a preprocessing application APP 24 .
  • the preprocessing application APP 21 has an input interface I 21 and an output interface O 21 .
  • the preprocessing application APP 22 has an input interface I 22 and an output interface O 22 .
  • the preprocessing application APP 23 has an input interface I 23 and an output interface O 23 .
  • the preprocessing application APP 24 has an input interface I 24 and an output interface O 24 .
  • the workflow WF1 further includes a mutual relationship between the foregoing second applications. The mutual relationship includes input/output data streams between the applications, that is, input/output wiring rules.
  • the preprocessing application APP 24 needs a motor (aterminal device) to output a calculation result, then outputs a root mean square of the result, and sends the root mean square to the preprocessing application APP 22 .
  • the preprocessing application APP 22 then performs additional processing, for example, outputs statistics of one day, one hour, or the like.
  • the second application of the edge device end 500 further includes a data obtaining application APP 25 , a data obtaining application APP 26 , and a data obtaining application APP 27 . As shown in FIG.
  • the selected industrial Internet of Things model model 11 is separately associated with the preprocessing application APP 21 , the preprocessing application APP 22 , and the data obtaining application APP 25 and is connected to the output interfaces O 21 , O 22 , and O 25 thereof.
  • the wiring rules of the applications include: the input interface I 21 of the preprocessing application APP 21 is separately connected to the output interfaces O 23 and O 24 of the preprocessing application APP 23 and the preprocessing application APP 24 ; the input interface I 22 of the preprocessing application APP 22 is connected to the output interface O 24 of the preprocessing application APP 24 ; the output interface O 26 of the data obtaining application APP 26 is separately connected to input interface I 23 of the preprocessing application APP 23 and the input interface I 24 of the preprocessing application APP 24 ; the output interface O 27 of the data obtaining application APP 27 is connected to the input interface I 24 of the preprocessing application APP 24 .
  • step S14 generating input/output data source configurations of the first application APP 1 and the second application APP 2 according to production line context information a.
  • the production line scene auxiliary configuration data obtaining module 140 provides a configuration of the data obtaining second application APP 2 at the edge device end 500, the data obtaining second application APP 2 is linked with a data source of a production line system, and the production line system includes an automation system (such as a PLC) and simulation software.
  • Inputs of the production line scene auxiliary configuration data obtaining module 140 are: the matched workflow WF and second application APP 2 ; and a production line scene.
  • Outputs of the production line scene auxiliary configuration data obtaining module 140 are: the matched data obtaining second application APP 2 ; a pre-executed application and workflow WF; and configurations needed by all the foregoing applications.
  • the application decides that production lines on which data sources need to be collected, and the data sources may be collected from a PLC or from a device on a production line or another apparatus connected to a device.
  • the input interface I 26 of the data obtaining application APP 26 is connected to and collects a data source D 1 on the production line.
  • the input interface I 27 of the data obtaining application APP 27 is connected to and collects a data source D 2 on the production line.
  • the input interface I 25 of the data obtaining application APP 25 is connected to and collects a data source D 3 on the production line.
  • the first application APP 11 for the industrial cloud 400 is associated with the industrial Internet of Things model model model 1 .
  • the industrial Internet of Things model model 1 associated with the first application APP 11 includes two entities.
  • a first entity Entity 1 is quality
  • a second entity Entity 2 is performance.
  • the entities all have parameters.
  • the first entity Entity 1 has parameters P 1 and P 2
  • the second entity Entity 2 has a parameter P 3 .
  • the parameter P 1 is a yield (FPY)
  • the parameter P 2 is the production number (output)
  • the parameter P 3 is a fulfillment rate.
  • the parameter P 1 is an output of a workflow input/output model B.
  • the workflow WF 1 is a yield calculation (FPY calculation) workflow template of the edge device end 500 and has two inputs P 4 and P 5 , the input P 4 is a good item, and the input P 5 is a bad item.
  • the knowledge base 300 stores domain knowledge, and recommends a domain context scene according to user requirements.
  • the recommended domain context scene 3 includes a key performance indicator (KPI) , quality, a yield (FPY) , performance, real average circle time (RACT) , and a first pass yield.
  • KPI key performance indicator
  • FPY yield
  • RACT real average circle time
  • the context scene includes a relationship between the applications and a relationship between the applications and the industrial Internet of Things model.
  • step S1 perform step S2, generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.
  • a final industrial Internet of Things solution is generated according to the matched first application APP 1 and second application APP 2 , and data interfaces and workflows WF needed by the first application APP 1 and the second application APP 2 , and the matched first application APP 1 and second application APP 2 are invoked from the industrial cloud application repository 210 and the edge device end application repository 240.
  • the first application APP 1 and the second application APP 2 are respectively deployed to the industrial cloud 400 and the edge device end 500.
  • the solution generation and application deployment module 150 respectively deploys the first application APP 1 and the second application APP 2 to the industrial cloud 400 and the edge device end 500, to implement the industrial Internet of Things solution.
  • the final industrial Internet of Things solution is the first application APP 1 , the second application APP 2 , the industrial Internet of Things model model 1 , and the workflow WF.
  • the first application APP 1 provides a service to the industrial cloud 400.
  • the second application APP 2 achieves a function at the edge device end 500.
  • the inputs of the production line scene auxiliary configuration data obtaining module 140 are: the first application APP 1 ; the industrial Internet of Things model model 1 ; the matched data obtaining second application APP 2 ; a pre-executed second application and workflow WF; the industrial cloud application repository 210; the edge device end application repository 240; and configurations needed by all the foregoing applications.
  • the outputs of the production line scene auxiliary configuration data obtaining module 140 are: one or more first applications APP 1 deployed at the industrial cloud 400; one or more second applications APP 2 , a workflow WF, and an application configuration that are deployed at the edge device end 500; the industrial Internet of Things model model 1 disposed at the industrial cloud 400 and the edge device end 500; and all final industrial Internet of Things solution-based related information sent to the knowledge base 300.
  • step S3 updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base 300 for repeated use.
  • the knowledge base improvement module 160 classifies all selection and configuration information generated in the foregoing process as new knowledge and stores the new knowledge in the knowledge base 300. These statistic records in the knowledge base 300 are subsequently updated and are used to provide a better recommendation service.
  • An input of the knowledge base improvement module 160 is the final industrial Internet of Things solution-based related information, including the application and the configuration of the application, the industrial Internet of Things model model 1 , and the workflow WF.
  • the repository 200 includes reusable elements, and the reusable elements are prestored in cloud storage. Each repository is consistent with a service and an application programming interface (API) , to obtain or set content.
  • API application programming interface
  • the present invention includes four types of repositories, which represent four types of reusable elements.
  • the industrial cloud application repository 210 stores the first application APP 1 , and the first application APP 1 is a cloud application and includes a set of the first application APP 1 and metadata thereof. The set can be used to start an application in an execution time environment of the first application APP 1 .
  • the application provides a service to the end user, and the service includes a network service of a user interface or value-add backend features.
  • Most of the foregoing applications can be tightly bound to the industrial Internet of Things model because the industrial Internet of Things model defines that the application enters a data structure of cloud data.
  • the industrial Internet of Things model repository 220 includes universal entities, domain entities, and a specific instance of a plant or a machine and includes names, parameters, and relationships between different entities.
  • the industrial Internet of Things model model 1 defines a data structure and storage of the application. Different applications have different industrial Internet of Things models model 1 .
  • the industrial Internet of Things model can be described by using RDF or W3C.
  • the second application APP 2 exists in the edge device end application repository 240, including a combination of the second application APP 2 and metadata thereof. The combination is used to start an application in a running time environment of the second application APP 2 .
  • the foregoing application provides functional execution at the terminal device 500 or a network card.
  • Each second application APP 2 has input and output parameters, and an input end and an output end of the second application APP 2 can be connected and integrated together to provide an overall function. This is the commonest feature of the second application for data obtaining and preprocessing in the terminal device.
  • the knowledge base 300 provides knowledge and storage information, the knowledge can be described by using an RDF format, and a knowledge service provides a query service using an SPARQL language.
  • the first application for the industrial cloud and the industrial Internet of Things model has internal association, the application metadata is associated with the industrial Internet of Things model, and the industrial Internet of Things model includes names and parameters.
  • the workflow of the second application for the edge device end and an input/output model thereof includes an input and an output of the edge device end workflow and names and types of the input and the output.
  • the domain context scene for recommendation is used to connect the workflow of the second application for the edge device end or a single second application to the industrial Internet of Things model having the first application.
  • a second aspect of the present invention provides an application configuration apparatus of an industrial Internet of Things solution, obtaining a resource recommendation prompt from a repository according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud and at an edge device end with a configuration needed by the application; and generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.
  • the repository includes:
  • an industrial cloud application repository storing a first application for the industrial cloud and/or a prompt for recommending the first application
  • an industrial Internet of Things model repository storing an industrial Internet of Things model and/or a prompt for recommending the industrial Internet of Things model
  • an edge device end application workflow template repository storing a workflow of an edge device end application and/or a prompt for recommending the workflow
  • an edge device end application repository storing a second application for an edge device end and/or a prompt for recommending the second application.
  • the application configuration apparatus of an industrial Internet of Things solution further includes: an application configuration apparatus, selecting the first application from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution; and generating, based on the first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application, obtaining a first prompt for selecting the industrial Internet of Things model from the industrial Internet of Things model repository according to the user customized demand, and invoking the selected industrial Internet of Things model and a context relationship of the first application of the industrial Internet of Things model from the knowledge base; an industrial Internet of Things model generation module, matching a workflow template from the edge device end application workflow template repository based on the industrial Internet of Things model, the workflow template including a plurality of second applications associated with each other, then matching a second prompt of the second application from the edge device end application repository according to the matched workflow template, and invoking a context relationship, a workflow, and the second application of the industrial Internet of Things model from the knowledge base, where the second application includes
  • the context scene includes a relationship between the applications and a relationship between the applications and the industrial Internet of Things model.
  • the application configuration apparatus further selects a plurality of first applications from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution and integrates the plurality of first applications into a first application combination.
  • the industrial Internet of Things model generation module further generates, based on each first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application and integrates the plurality of industrial Internet of Things model combinations into an industrial Internet of Things model set.
  • the application configuration apparatus of an industrial Internet of Things solution further includes a solution generation and application deployment module, generating a final industrial Internet of Things solution according to the matched first application and second application, and configurations and workflows needed by the first application and the second application; invoking the matched first application and second application from the industrial cloud application repository and the edge device end application repository or the knowledge base; and respectively deploying the first application and the second application to the industrial cloud and the edge device end.
  • the application configuration apparatus further includes a knowledge base improvement module 160, updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base for repeated use.
  • a knowledge base improvement module 160 updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base for repeated use.
  • a third aspect of the present invention provides an application configuration system of an industrial Internet of Things solution, including: a processor; and a memory coupled to the processor, where the memory has an instruction stored in the memory, the instruction enables the electronic device to execute an action when being executed by the processor, and the action includes: obtaining a resource recommendation prompt from a repository according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base or the repository to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud and at an edge device end with a configuration needed by the application; and generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.
  • the action further includes: selecting the first application from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution; generating, based on the first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application, obtaining a first prompt for selecting the industrial Internet of Things model from the industrial Internet of Things model repository according to the user customized demand, and invoking the selected industrial Internet of Things model and a context relationship of the first application of the industrial Internet of Things model from the knowledge base; matching a workflow template from the edge device end application workflow template repository based on the industrial Internet of Things model, the workflow template including a plurality of second applications associated with each other, then matching a second prompt of the second application from the edge device end application repository according to the matched workflow template, and invoking a context relationship, a workflow, and the second application of the industrial Internet of Things model from the knowledge base, where the second application includes a preprocessing application and a data obtaining application; and generating input/output data source configurations
  • the action further includes: selecting a plurality of first applications from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution and integrating the plurality of first applications into a first application combination.
  • the action further includes: generating, based on each first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application and integrating the plurality of industrial Internet of Things model combinations into an industrial Internet of Things model set.
  • the action further includes: generating a final industrial Internet of Things solution according to the matched first application and second application, and configurations and workflows needed by the first application and the second application; invoking the matched first application and second application from the industrial cloud application repository and the edge device end application repository or the knowledge base; and respectively deploying the first application and the second application to the industrial cloud and the edge device end.
  • the action further includes: updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base for repeated use.
  • a fourth aspect of the present invention further provides a computer program product, tangibly stored on a computer readable medium and including a computer executable instruction, enabling at least one processor to perform the method in the first aspect of the present invention when the computer executable instruction is executed.
  • a fifth aspect of the present invention provides a computer program, storing thereon a computer executable instruction, enabling at least one processor to perform the method in the first aspect of the present invention when the computer executable instruction is executed.
  • Advantages of the present invention lie in providing an end-to-end industrial Internet of Things solution, which implements that an application for the industrial cloud or the edge device end can be reused and reduces workloads of application development and communication between different parts of an industrial Internet of Things system.
  • the present invention is implemented with the aid of domain knowledge, which provides a simple solution, so that applications can be simply connected to each other, and the applications can be deployed in functions without additional development.
  • the present invention avoids excessively relying on experts and reduces workloads of providing a production line cloud service.
  • a repository connection provided in the present invention assists an industrial Internet of Things project as the knowledge base, a production line context scene can support recommending a simple process to a user, and the knowledge base may also be updated from a generated final industrial Internet of Things solution.

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Abstract

Provided are an application configuration method, apparatus, and system of an industrial Internet of Things solution, a computer software product, and a computer readable medium. The method includes the following steps: obtaining a resource recommendation prompt from a repository (200) according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base (300) or the repository (200) to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud (400) and at an edge device end (500) with a configuration needed by the application; and generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud (400) and the edge device end (500). The method does not rely on experts and combines domain knowledge and a production line context scene, and the applications can be simply connected to each other and deployed to the cloud (400) or the edge device end (500) without additional development.

Description

APPLICATION CONFIGURATION METHOD, APPARATUS, SYSTEM OF INDUSTRIAL INTERNET OF THINGS SOLUTION, COMPUTER SOFTWARE PRODUCT, AND READABLE MEDIUM BACKGROUND Technical Field
The present invention relates to the industrial Internet of Things, and in particular, to an application configuration method, apparatus, and system of an industrial Internet of Things solution, a computer software product, and a readable medium.
Related Art
An end-to-end solution of the industrial Internet of Things (industrial IoT) needs to collect bottom-layer data to an upper-layer application for development in a development process. In addition, this industrial Internet of Things solution is user-customized. Therefore, the industrial Internet of Things solution generally relates to development of applications at an edge device end and an industrial cloud and integration of and alignment on interfaces of the edge device end and the industrial cloud. Therefore, the solution of the industrial Internet of Things encounters some challenges, including:
collection of bottom-layer data. The bottom-layer data is data of a device on a production line in a factory, and an edge device is an object of collection and is connected to the bottom-layer device.
Customized development is performed on the industrial Internet of Things solution on the industrial cloud, and valuable information is visualized to an end user.
Alignment is performed on data interfaces for data obtaining at the edge device end and application development on the industrial cloud. However, data obtaining at the edge  device end and application development on the industrial cloud are separate. However, to obtain a complete solution, data alignment needs to be performed on interfaces for data obtaining at the edge device end and application development on the industrial cloud.
SUMMARY
A first aspect of the present invention provides an application configuration method of an industrial Internet of Things solution, including the following steps: S1, obtaining a resource recommendation prompt from a repository according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base or the repository to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud and at an edge device end with a configuration needed by the application; and S2, generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.
The repository includes:
an industrial cloud application repository, storing a first application for the industrial cloud and/or a prompt for recommending the first application;
an industrial Internet of Things model repository, storing an industrial Internet of Things model and/or a prompt for recommending the industrial Internet of Things model;
an edge device end application workflow template repository, storing a workflow of an edge device end application and/or a prompt for recommending the workflow; and
an edge device end application repository, storing a second application for an edge device end and/or a prompt for recommending the second application.
Further, step S1 further includes the following sub-steps: S11, selecting the first application from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution; S12, generating,  based on the first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application, obtaining a first prompt for selecting the industrial Internet of Things model from the industrial Internet of Things model repository according to the user customized demand, and invoking the selected industrial Internet of Things model and a context relationship of the first application of the industrial Internet of Things model from the knowledge base; S13, matching a workflow template from the edge device end application workflow template repository based on the industrial Internet of Things model, the workflow template including a plurality of second applications associated with each other, then matching a second prompt of the second application from the edge device end application repository according to the matched workflow template, and invoking a context relationship, a workflow, and the second application of the industrial Internet of Things model from the knowledge base, where the second application includes a preprocessing application and a data obtaining application; and S14, generating input/output data source configurations of the first application and the second application according to production line context information.
The context scene includes a relationship between the applications and a relationship between the applications and the industrial Internet of Things model.
Further, step S11 further includes the following step: selecting a plurality of first applications from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution and integrating the plurality of first applications into a first application combination.
Further, when the plurality of first applications is integrated into the first application combination in step S11, step S12 further includes the following step: generating, based on each first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application and integrating  the plurality of industrial Internet of Things model combinations into an industrial Internet of Things model set.
Further, step S2 further includes the following steps: generating a final industrial Internet of Things solution according to the matched first application and second application, and configurations and workflows needed by the first application and the second application; invoking the matched first application and second application from the industrial cloud application repository and the edge device end application repository or the knowledge base; and respectively deploying the first application and the second application to the industrial cloud and the edge device end.
Further, the application configuration method further includes the following step: S3, updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base for repeated use.
A second aspect of the present invention provides an application configuration apparatus of an industrial Internet of Things solution, obtaining a resource recommendation prompt from a repository according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud and at an edge device end with a configuration needed by the application; and generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.
The repository includes:
an industrial cloud application repository, storing a first application for the industrial cloud and/or a prompt for recommending the first application;
an industrial Internet of Things model repository, storing an industrial Internet of  Things model and/or a prompt for recommending the industrial Internet of Things model;
an edge device end application workflow template repository, storing a workflow of an edge device end application and/or a prompt for recommending the workflow; and
an edge device end application repository, storing a second application for an edge device end and/or a prompt for recommending the second application.
Further, the application configuration apparatus of an industrial Internet of Things solution further includes: an application configuration apparatus, selecting the first application from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution; and generating, based on the first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application, obtaining a first prompt for selecting the industrial Internet of Things model from the industrial Internet of Things model repository according to the user customized demand, and invoking the selected industrial Internet of Things model and a context relationship of the first application of the industrial Internet of Things model from the knowledge base; an industrial Internet of Things model generation module, matching a workflow template from the edge device end application workflow template repository based on the industrial Internet of Things model, the workflow template including a plurality of second applications associated with each other, then matching a second prompt of the second application from the edge device end application repository according to the matched workflow template, and invoking a context relationship, a workflow, and the second application of the industrial Internet of Things model from the knowledge base, where the second application includes a preprocessing application and a data obtaining application; and an edge device end workflow matching and recommendation module, generating input/output data source configurations of the first application and the second application according to production line context information.
The context scene includes a relationship between the applications and a relationship between the applications and the industrial Internet of Things model.
Further, the application configuration apparatus further selects a plurality of first applications from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution and integrates the plurality of first applications into a first application combination.
Further, the industrial Internet of Things model generation module further generates, based on each first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application and integrates the plurality of industrial Internet of Things model combinations into an industrial Internet of Things model set.
Further, the application configuration apparatus of an industrial Internet of Things solution further includes a solution generation and application deployment module, generating a final industrial Internet of Things solution according to the matched first application and second application, and configurations and workflows needed by the first application and the second application; invoking the matched first application and second application from the industrial cloud application repository and the edge device end application repository or the knowledge base; and respectively deploying the first application and the second application to the industrial cloud and the edge device end.
Further, the application configuration apparatus further includes a knowledge base improvement module 160, updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base for repeated use.
A third aspect of the present invention provides an application configuration system of an industrial Internet of Things solution, including: a processor; and a memory coupled to  the processor, where the memory has an instruction stored in the memory, the instruction enables the electronic device to execute an action when being executed by the processor, and the action includes: obtaining a resource recommendation prompt from a repository according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base or the repository to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud and at an edge device end with a configuration needed by the application; and generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.
Further, the action further includes: selecting the first application from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution; generating, based on the first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application, obtaining a first prompt for selecting the industrial Internet of Things model from the industrial Internet of Things model repository according to the user customized demand, and invoking the selected industrial Internet of Things model and a context relationship of the first application of the industrial Internet of Things model from the knowledge base; matching a workflow template from the edge device end application workflow template repository based on the industrial Internet of Things model, the workflow template including a plurality of second applications associated with each other, then matching a second prompt of the second application from the edge device end application repository according to the matched workflow template, and invoking a context relationship, a workflow, and the second application of the industrial Internet of Things model from the knowledge base, where the second application includes a preprocessing application and a data obtaining application; and generating input/output data source configurations of the first application and the second application  according to production line context information.
Further, the action further includes: selecting a plurality of first applications from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution and integrating the plurality of first applications into a first application combination.
when the plurality of first applications is integrated into the first application combination, the action further includes: generating, based on each first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application and integrating the plurality of industrial Internet of Things model combinations into an industrial Internet of Things model set.
Further, the action further includes: generating a final industrial Internet of Things solution according to the matched first application and second application, and configurations and workflows needed by the first application and the second application; invoking the matched first application and second application from the industrial cloud application repository and the edge device end application repository or the knowledge base; and respectively deploying the first application and the second application to the industrial cloud and the edge device end.
Further, the action further includes: updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base for repeated use.
A fourth aspect of the present invention further provides a computer program product, tangibly stored on a computer readable medium and including a computer executable instruction, enabling at least one processor to perform the method in the first aspect of the present invention when the computer executable instruction is executed.
A fifth aspect of the present invention provides a computer program, storing thereon a  computer executable instruction, enabling at least one processor to perform the method in the first aspect of the present invention when the computer executable instruction is executed.
Advantages of the present invention lie in providing an end-to-end industrial Internet of Things solution, which implements that an application for the industrial cloud or the edge device end can be reused and reduces workloads of application development and communication between different parts of an industrial Internet of Things system. The present invention is implemented with the aid of domain knowledge, which provides a simple solution, so that applications can be simply connected to each other, and the applications can be deployed in functions without additional development. The present invention avoids excessively relying on experts and reduces workloads of providing a production line cloud service.
A repository connection provided in the present invention assists an industrial Internet of Things project as the knowledge base, a production line context scene can support recommending a simple process to a user, and the knowledge base may also be updated from a generated final industrial Internet of Things solution.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is an architectural diagram of an application configuration mechanism for an industrial Internet of Things solution according to a specific embodiment of the present invention;
FIG. 2 is a flowchart of steps of an application configuration method for an industrial Internet of Things solution according to a specific embodiment of the present invention;
FIG. 3 is a schematic diagram of an industrial Internet of Things model of an application configuration mechanism for an industrial Internet of Things solution according to a specific embodiment of the present invention;
FIG. 4 is a schematic diagram of a domain context scene recommended according to a context scene in a knowledge base of an application configuration mechanism for an industrial Internet of Things solution according to a specific embodiment of the present invention; and
FIG. 5 is a schematic structural diagram of a knowledge base of an application configuration mechanism for an industrial Internet of Things solution according to a specific embodiment of the present invention.
DETAILED DESCRIPTION
Specific implementations of the present invention are described below with reference to the accompanying drawings.
The present invention provides an application configuration mechanism for an industrial Internet of Things solution, which may easily obtain a final industrial Internet of Things solution, make an application based on the final Internet of Things solution to be repeatedly used, and accelerate configurations of the edge device end based on a context scene of the application. The present invention further integrates domain knowledge and reduces reliance on experts, so that an industrial Internet of Things project becomes easier for a non-expert developer.
FIG. 1 is an architectural diagram of an application configuration mechanism for an industrial Internet of Things solution. As shown in FIG. 1, an application configuration apparatus 100 is separately coupled to a repository 200, a knowledge base 300, an industrial cloud 400, and an edge device end 500. The repository 200 includes various types of applications, models, and workflows and/or recommendation prompt information of the foregoing various types of applications, models, and workflows. The knowledge base 300 includes a context scene and all information about historical industrial Internet of Things solutions. An edge device is disposed in a factory and is connected to a plurality of  production line devices. The edge device is used as an interface of an industrial cloud 400 and a production line and has a function of collecting data. The application configuration apparatus 100 selects a resource from the knowledge base 300 according to a recommendation prompt in the repository 200 and according to a user customized demand, generates a model of the industrial Internet of Things solution, matches an application and a data interface and a parameter of the application, generates a final complete industrial Internet of Things solution, and deploys the application matching the solution to the industrial cloud 400 and the edge device end 500.
The application configuration apparatus 100 is a core module of the present invention and is configured to extract information from the repository 200 and the knowledge base 300, to generate an end-to-end Internet of Things solution (end-to-end IoT solution) , which helps enrich the knowledge base 300. The application configuration mechanism of an industrial Internet of Things solution provided in the present invention combines applications, industrial Internet of Things models (IoT models) , and workflows. Because an application includes an application providing a service to an industrial cloud and implements a function at the edge device end, the present invention implements connectivity of an industrial Internet of Things system. The application configuration apparatus 100 includes an application selection and combination module 110, an industrial Internet of Things model generation module 120, an edge device end workflow matching and recommendation module 130, a production line scene auxiliary configuration data obtaining module 140, a solution generation and application deployment module 150, and a knowledge base improvement module 160.
With reference to FIG. 1 and FIG. 2, a first aspect of the present invention provides an application configuration method for an industrial Internet of Things solution, including the following steps.
First, perform step S1, obtaining a resource recommendation prompt from a repository  300 according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base 300 to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud 400 and at an edge device end 500 with a configuration needed by the application. The industrial Internet of Things solution includes sets, industrial Internet of Things models, and workflows of different applications. The industrial Internet of Things models and the workflows further include a plurality of applications and a mutual relationship between the applications. An architecture of the industrial Internet of Things solution horizontally includes two parts, namely, the industrial cloud 400 and the edge device end 500. The industrial cloud 400 and the edge device end 50 each include a specific or particular industrial Internet of Things model, an application, a workflow, and the like matching an overall solution. The industrial Internet of Things model is related to a plurality of applications, and the industrial Internet of Things model defines data structures of the applications. Once the industrial Internet of Things model is determined, particular specific applications are determined. Therefore, data interfaces to which the particular specific applications correspond can be learned.
Specifically, as shown in FIG. 1, the repository 200 includes an industrial cloud application repository 210, an industrial Internet of Things model repository 220, an edge device end application workflow template repository 230, and an edge device end application repository 240. The industrial cloud application repository 210 stores a first application APP 1 for the industrial cloud and/or a prompt for recommending the first application APP 1. The industrial Internet of Things model repository 220 stores an industrial Internet of Things model model 1 and/or a prompt for recommending the industrial Internet of Things model model 1. The edge device end application workflow template repository 230 stores a workflow WF 1 of the edge device end application and/or a prompt for recommending the workflow WF 1. The edge device end application repository 240 stores a second application APP 2 for the edge device end and/or a prompt for  recommending the second application APP 2.
Specifically, step S1 further includes the following sub-steps.
First perform step S11, selecting the first application APP 1 and a parameter needed by the first application APP 1 from the industrial cloud application repository 210 of the repository 200 according to the user customized demand of the industrial Internet of Things solution. Preferably, a plurality of first applications APP 1 is selected from the industrial cloud application repository 210 of the repository 200 according to the user customized demand of the industrial Internet of Things solution, and the plurality of first applications APP 1 is integrated into a first application combination to complete an overall function.
Specifically, the application configuration apparatus 100 includes an application selection and combination module 110, providing a user interface for an end user. The end user may select, through the user interface, the first application APP 1 stored by the industrial cloud in the industrial cloud application repository 210. The application selection and combination module 110 can select the needed first application APP 1 in the existing industrial cloud application repository 210 according to a user's choice or can integrate the plurality of different first applications APP 1 into a first application APP 1 combination to complete an overall function. The parameter needed by the first application APP 1 may be set according to an input of the user in a user interface, and the application selection and combination module 110 may also map the first application APP 1 selected by the user to the needed parameter. The first application APP 1 selected by the user or the integrated first application APP 1 combination is deployed onto the industrial cloud 400 to provide a service to the end user. An input of the application selection and combination module 110 is the user customized demand or user interface input information, and outputs of the application selection and combination module 110 are the selected first application APP 1 or the first application APP 1 combination and the needed parameter thereof. The industrial cloud application repository 210 is used to provide metadata of the selected one or more first  applications APP 1.
Preferably, when the plurality of first applications APP 1 is integrated into the first application combination in step S11, step S11 further includes the following step: selecting a plurality of first applications APP 1 from the industrial cloud application repository 210 of the repository according to the user customized demand of the industrial Internet of Things solution and integrating the plurality of first applications APP 1 into a first application combination.
Then perform sub-step S12, generating, based on the first application APP 1, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application APP 1, obtaining a first prompt for selecting the industrial Internet of Things model from the industrial Internet of Things model repository 220 according to the user customized demand, and invoking the selected industrial Internet of Things model model 1 and a context relationship of the first application APP 1 of the industrial Internet of Things model model 1 from the knowledge base 300. The application configuration apparatus 100 includes an industrial Internet of Things model generation module 120, selecting the first prompt of the industrial Internet of Things model model 1 from the industrial Internet of Things model repository 220 according to the user customized demand. The model is associated with the plurality of first applications APP 1. Specifically, the industrial Internet of Things model generation module 120 queries the industrial Internet of Things model repository 220 and the knowledge base 300 to generate the industrial Internet of Things model model 1 based on the selected one or more first applications APP 1 in step S12. As a premise, the application on which the industrial Internet of Things model in the knowledge base 300 is based is associated with the first application APP 1.
The first application APP 1 manages a plurality of production line devices. One device may have an industrial Internet of Things model model 1. For example, a television has a  television model, and a gearbox has a gearbox model. A combination of a plurality of industrial Internet of Things models model 1 of all devices managed by a particular first application APP 1 is recommended in the first prompt of the industrial Internet of Things model repository 220. It should be noted that the application is only associated with the industrial Internet of Things model, but the model needs to be invoked from the repository 200 or the knowledge base 300 according to information about the associated industrial Internet of Things model. Specifically, as shown in FIG. 4, it is assumed that a combination of a plurality of industrial Internet of Things models model 1 of all devices managed by a particular first application APP 11 is recommended in the first prompt of the industrial Internet of Things model repository 220, and the industrial Internet of Things models model 1 include industrial Internet of Things models model 11 and model 12 respectively corresponding to two devices. In this step, the industrial Internet of Things model model 11 is selected according to user requirements.
For example, as shown in FIG. 3, the first industrial Internet of Things model model 11 includes two entities, one being a motor, and the other being a gearbox. A relationship between the motor and the gearbox is that the motor drives the gearbox. The motor includes a plurality of parameters: speed, current, and vibration. The entity includes one parameter: torque.
Further, when the plurality of first applications APP 1 is integrated into the first application combination in step S11, step S12 includes the following step:
generating, based on each first application APP 1, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application APP 1 and integrating the plurality of industrial Internet of Things model combinations into an industrial Internet of Things model set.
Inputs of the industrial Internet of Things model generation module 120 include:
1. outputs of the application selection and combination module 110, to be specific, the first application APP 1 or the first application APP 1 combination and a needed parameter thereof, that is, metadata of the first application APP 1 and a needed parameter thereof. Association information of the industrial Internet of Things model and the first application APP 1 is also included in the metadata.
2. the industrial Internet of Things model repository 120, including a plurality of industrial Internet of Things models model 1, where the industrial Internet of Things model model 1 further includes entity information such as an apparatus, a machine, a variable, and an entity parameter.
3. an application context scene of the knowledge base 300. The context scene includes connections between a plurality of applications and a relationship between the applications and the industrial Internet of Things model model 1.
An output of the industrial Internet of Things model generation module 120 is the industrial Internet of Things model model 1 associated with the first application APP 1. The first application APP 1 may be run based on a data structure defined by the industrial Internet of Things model model 1.
Then, perform sub-step S13, matching a workflow template WF from the edge device end application workflow template repository 230 based on the industrial Internet of Things model model 1, the workflow template WF including a plurality of second applications APP 2 associated with each other, then matching a second prompt of the second application APP 2 from the edge device end application repository 230 according to the matched workflow template WF, and invoking a context relationship, a workflow WF, and the second application APP 2 of the industrial Internet of Things model model 1 from the knowledge base 300, where the second application APP 2 includes a preprocessing application and a data obtaining application. The edge device end workflow matching and  recommendation module 130 is configured to help, with the aid of the knowledge base 300, the user automatically match and recommend the edge device end second application APP 2. An output of the workflow should match the industrial Internet of Things model model 1 generated in the foregoing step. Different industrial Internet of Things models model 1 should be covered by any one of outputs of the workflow WF and the second application APP 2. After outputs of different industrial Internet of Things models model 1 are filled with an output of the edge device end 500, the first application APP 1 obtains sufficient data to provide a service to the end user.
Specifically, inputs of the edge device end application repository 230 include:
1. the application-based industrial Internet of Things model model 1;
2. a workflow template of the edge device end second application APP 2. The workflow template includes input/output information of the second application APP 2.
3. the edge device end application repository 240, providing metadata of the second application APP 2 and an input/output model; and
4. the workflow WF and a context scene of an application input/output model from the knowledge base 300.
Outputs of the edge device end application repository 230 are the matched workflow WF and second application APP 2 and a context scene thereof.
A workflow W template of the second application APP 2 is a set of workflows predefined for the second application APP 2 of the terminal device end 500. The foregoing template is usually used for a combination of the second applications APP 2 of the terminal device end 500 and can be reused in a new project. A workflow WF includes a plurality of second applications APP 2 and input/output wiring rules of these applications. The workflow WF can be described by using RDF or JSON. FIG. 3 shows an example of a workflow. FIG.  4 is a schematic diagram of a domain context scene recommended according to a context scene in a knowledge base of an application configuration mechanism for an industrial Internet of Things solution. As shown in FIG. 4, the first workflow WF 1 includes four second applications, which are respectively a preprocessing application APP 21, a preprocessing application APP 22, a preprocessing application APP 23, and a preprocessing application APP 24. The preprocessing application APP 21 has an input interface I 21 and an output interface O 21. The preprocessing application APP 22 has an input interface I 22 and an output interface O 22. The preprocessing application APP 23 has an input interface I 23 and an output interface O 23. The preprocessing application APP 24 has an input interface I 24 and an output interface O 24. The workflow WF1 further includes a mutual relationship between the foregoing second applications. The mutual relationship includes input/output data streams between the applications, that is, input/output wiring rules. For example, the preprocessing application APP 24 needs a motor (aterminal device) to output a calculation result, then outputs a root mean square of the result, and sends the root mean square to the preprocessing application APP 22. The preprocessing application APP 22 then performs additional processing, for example, outputs statistics of one day, one hour, or the like. The second application of the edge device end 500 further includes a data obtaining application APP 25, a data obtaining application APP 26, and a data obtaining application APP 27. As shown in FIG. 4, the selected industrial Internet of Things model model 11 is separately associated with the preprocessing application APP 21, the preprocessing application APP 22, and the data obtaining application APP 25 and is connected to the output interfaces O 21, O 22, and O 25 thereof. The wiring rules of the applications include: the input interface I 21 of the preprocessing application APP 21 is separately connected to the output interfaces O 23 and O 24 of the preprocessing application APP 23 and the preprocessing application APP 24; the input interface I 22 of the preprocessing application APP 22 is connected to the output interface O 24 of the preprocessing application APP 24; the output interface O 26 of the data  obtaining application APP 26 is separately connected to input interface I 23 of the preprocessing application APP 23 and the input interface I 24 of the preprocessing application APP 24; the output interface O 27 of the data obtaining application APP 27 is connected to the input interface I 24 of the preprocessing application APP 24.
Then perform step S14, as shown in FIG. 2, generating input/output data source configurations of the first application APP 1 and the second application APP 2 according to production line context information a. The production line scene auxiliary configuration data obtaining module 140 provides a configuration of the data obtaining second application APP 2 at the edge device end 500, the data obtaining second application APP 2 is linked with a data source of a production line system, and the production line system includes an automation system (such as a PLC) and simulation software. Inputs of the production line scene auxiliary configuration data obtaining module 140 are: the matched workflow WF and second application APP 2; and a production line scene. Outputs of the production line scene auxiliary configuration data obtaining module 140 are: the matched data obtaining second application APP 2; a pre-executed application and workflow WF; and configurations needed by all the foregoing applications.
The application decides that production lines on which data sources need to be collected, and the data sources may be collected from a PLC or from a device on a production line or another apparatus connected to a device. For example, as shown in FIG. 4, the input interface I 26 of the data obtaining application APP 26 is connected to and collects a data source D 1 on the production line. The input interface I 27 of the data obtaining application APP 27 is connected to and collects a data source D 2 on the production line. The input interface I 25 of the data obtaining application APP 25 is connected to and collects a data source D 3 on the production line.
As shown in FIG. 5, the first application APP 11 for the industrial cloud 400 is associated with the industrial Internet of Things model model 1. For example, if the first  application APP 11 is a product key performance indicator (KPI) application, the industrial Internet of Things model model 1 associated with the first application APP 11 includes two entities. A first entity Entity 1 is quality, and a second entity Entity 2 is performance. Specifically, the entities all have parameters. The first entity Entity 1 has parameters P 1 and P 2, and the second entity Entity 2 has a parameter P 3. The parameter P 1 is a yield (FPY) , the parameter P 2 is the production number (output) , and the parameter P 3 is a fulfillment rate. The parameter P 1 is an output of a workflow input/output model B. Specifically, the workflow WF 1 is a yield calculation (FPY calculation) workflow template of the edge device end 500 and has two inputs P 4 and P 5, the input P 4 is a good item, and the input P 5 is a bad item. The knowledge base 300 stores domain knowledge, and recommends a domain context scene according to user requirements. In this embodiment, the recommended domain context scene 3 includes a key performance indicator (KPI) , quality, a yield (FPY) , performance, real average circle time (RACT) , and a first pass yield.
The context scene includes a relationship between the applications and a relationship between the applications and the industrial Internet of Things model.
Then, after step S1, perform step S2, generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end. Specifically, a final industrial Internet of Things solution is generated according to the matched first application APP 1 and second application APP 2, and data interfaces and workflows WF needed by the first application APP 1 and the second application APP 2, and the matched first application APP 1 and second application APP 2 are invoked from the industrial cloud application repository 210 and the edge device end application repository 240. The first application APP 1 and the second application APP 2 are respectively deployed to the industrial cloud 400 and the edge device end 500.
When all the applications are selected, matched, and deployed, the solution generation and application deployment module 150 respectively deploys the first application APP 1 and  the second application APP 2 to the industrial cloud 400 and the edge device end 500, to implement the industrial Internet of Things solution. The final industrial Internet of Things solution is the first application APP 1, the second application APP 2, the industrial Internet of Things model model 1, and the workflow WF. The first application APP 1 provides a service to the industrial cloud 400. The second application APP 2 achieves a function at the edge device end 500. These applications are together connected in the industrial Internet of Things system. The inputs of the production line scene auxiliary configuration data obtaining module 140 are: the first application APP 1; the industrial Internet of Things model model 1; the matched data obtaining second application APP 2; a pre-executed second application and workflow WF; the industrial cloud application repository 210; the edge device end application repository 240; and configurations needed by all the foregoing applications. The outputs of the production line scene auxiliary configuration data obtaining module 140 are: one or more first applications APP 1 deployed at the industrial cloud 400; one or more second applications APP 2, a workflow WF, and an application configuration that are deployed at the edge device end 500; the industrial Internet of Things model model 1 disposed at the industrial cloud 400 and the edge device end 500; and all final industrial Internet of Things solution-based related information sent to the knowledge base 300.
At last, perform step S3, updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base 300 for repeated use. The knowledge base improvement module 160 classifies all selection and configuration information generated in the foregoing process as new knowledge and stores the new knowledge in the knowledge base 300. These statistic records in the knowledge base 300 are subsequently updated and are used to provide a better recommendation service. An input of the knowledge base improvement module 160 is the final industrial Internet of Things solution-based related information,  including the application and the configuration of the application, the industrial Internet of Things model model 1, and the workflow WF.
The repository 200 includes reusable elements, and the reusable elements are prestored in cloud storage. Each repository is consistent with a service and an application programming interface (API) , to obtain or set content. The present invention includes four types of repositories, which represent four types of reusable elements.
The industrial cloud application repository 210 stores the first application APP 1, and the first application APP 1 is a cloud application and includes a set of the first application APP 1 and metadata thereof. The set can be used to start an application in an execution time environment of the first application APP 1. The application provides a service to the end user, and the service includes a network service of a user interface or value-add backend features. Most of the foregoing applications can be tightly bound to the industrial Internet of Things model because the industrial Internet of Things model defines that the application enters a data structure of cloud data.
The industrial Internet of Things model repository 220 includes universal entities, domain entities, and a specific instance of a plant or a machine and includes names, parameters, and relationships between different entities. In addition, the industrial Internet of Things model model 1 defines a data structure and storage of the application. Different applications have different industrial Internet of Things models model 1. The industrial Internet of Things model can be described by using RDF or W3C.
The second application APP 2 exists in the edge device end application repository 240, including a combination of the second application APP 2 and metadata thereof. The combination is used to start an application in a running time environment of the second application APP 2. The foregoing application provides functional execution at the terminal device 500 or a network card. Each second application APP 2 has input and output  parameters, and an input end and an output end of the second application APP 2 can be connected and integrated together to provide an overall function. This is the commonest feature of the second application for data obtaining and preprocessing in the terminal device.
Specifically, the knowledge base 300 provides knowledge and storage information, the knowledge can be described by using an RDF format, and a knowledge service provides a query service using an SPARQL language. The first application for the industrial cloud and the industrial Internet of Things model has internal association, the application metadata is associated with the industrial Internet of Things model, and the industrial Internet of Things model includes names and parameters. The workflow of the second application for the edge device end and an input/output model thereof includes an input and an output of the edge device end workflow and names and types of the input and the output. The domain context scene for recommendation is used to connect the workflow of the second application for the edge device end or a single second application to the industrial Internet of Things model having the first application.
A second aspect of the present invention provides an application configuration apparatus of an industrial Internet of Things solution, obtaining a resource recommendation prompt from a repository according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud and at an edge device end with a configuration needed by the application; and generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.
The repository includes:
an industrial cloud application repository, storing a first application for the industrial  cloud and/or a prompt for recommending the first application;
an industrial Internet of Things model repository, storing an industrial Internet of Things model and/or a prompt for recommending the industrial Internet of Things model;
an edge device end application workflow template repository, storing a workflow of an edge device end application and/or a prompt for recommending the workflow; and
an edge device end application repository, storing a second application for an edge device end and/or a prompt for recommending the second application.
Further, the application configuration apparatus of an industrial Internet of Things solution further includes: an application configuration apparatus, selecting the first application from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution; and generating, based on the first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application, obtaining a first prompt for selecting the industrial Internet of Things model from the industrial Internet of Things model repository according to the user customized demand, and invoking the selected industrial Internet of Things model and a context relationship of the first application of the industrial Internet of Things model from the knowledge base; an industrial Internet of Things model generation module, matching a workflow template from the edge device end application workflow template repository based on the industrial Internet of Things model, the workflow template including a plurality of second applications associated with each other, then matching a second prompt of the second application from the edge device end application repository according to the matched workflow template, and invoking a context relationship, a workflow, and the second application of the industrial Internet of Things model from the knowledge base, where the second application includes a preprocessing application and a data obtaining application;  and an edge device end workflow matching and recommendation module, generating input/output data source configurations of the first application and the second application according to production line context information.
The context scene includes a relationship between the applications and a relationship between the applications and the industrial Internet of Things model.
Further, the application configuration apparatus further selects a plurality of first applications from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution and integrates the plurality of first applications into a first application combination.
Further, the industrial Internet of Things model generation module further generates, based on each first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application and integrates the plurality of industrial Internet of Things model combinations into an industrial Internet of Things model set.
Further, the application configuration apparatus of an industrial Internet of Things solution further includes a solution generation and application deployment module, generating a final industrial Internet of Things solution according to the matched first application and second application, and configurations and workflows needed by the first application and the second application; invoking the matched first application and second application from the industrial cloud application repository and the edge device end application repository or the knowledge base; and respectively deploying the first application and the second application to the industrial cloud and the edge device end.
Further, the application configuration apparatus further includes a knowledge base improvement module 160, updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to  the knowledge base for repeated use.
A third aspect of the present invention provides an application configuration system of an industrial Internet of Things solution, including: a processor; and a memory coupled to the processor, where the memory has an instruction stored in the memory, the instruction enables the electronic device to execute an action when being executed by the processor, and the action includes: obtaining a resource recommendation prompt from a repository according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base or the repository to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud and at an edge device end with a configuration needed by the application; and generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.
Further, the action further includes: selecting the first application from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution; generating, based on the first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application, obtaining a first prompt for selecting the industrial Internet of Things model from the industrial Internet of Things model repository according to the user customized demand, and invoking the selected industrial Internet of Things model and a context relationship of the first application of the industrial Internet of Things model from the knowledge base; matching a workflow template from the edge device end application workflow template repository based on the industrial Internet of Things model, the workflow template including a plurality of second applications associated with each other, then matching a second prompt of the second application from the edge device end application repository according to the matched workflow template, and invoking a context relationship, a workflow, and the second application of the  industrial Internet of Things model from the knowledge base, where the second application includes a preprocessing application and a data obtaining application; and generating input/output data source configurations of the first application and the second application according to production line context information.
Further, the action further includes: selecting a plurality of first applications from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution and integrating the plurality of first applications into a first application combination.
when the plurality of first applications is integrated into the first application combination, the action further includes: generating, based on each first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application and integrating the plurality of industrial Internet of Things model combinations into an industrial Internet of Things model set.
Further, the action further includes: generating a final industrial Internet of Things solution according to the matched first application and second application, and configurations and workflows needed by the first application and the second application; invoking the matched first application and second application from the industrial cloud application repository and the edge device end application repository or the knowledge base; and respectively deploying the first application and the second application to the industrial cloud and the edge device end.
Further, the action further includes: updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base for repeated use.
A fourth aspect of the present invention further provides a computer program product, tangibly stored on a computer readable medium and including a computer executable  instruction, enabling at least one processor to perform the method in the first aspect of the present invention when the computer executable instruction is executed.
A fifth aspect of the present invention provides a computer program, storing thereon a computer executable instruction, enabling at least one processor to perform the method in the first aspect of the present invention when the computer executable instruction is executed.
Advantages of the present invention lie in providing an end-to-end industrial Internet of Things solution, which implements that an application for the industrial cloud or the edge device end can be reused and reduces workloads of application development and communication between different parts of an industrial Internet of Things system. The present invention is implemented with the aid of domain knowledge, which provides a simple solution, so that applications can be simply connected to each other, and the applications can be deployed in functions without additional development. The present invention avoids excessively relying on experts and reduces workloads of providing a production line cloud service.
A repository connection provided in the present invention assists an industrial Internet of Things project as the knowledge base, a production line context scene can support recommending a simple process to a user, and the knowledge base may also be updated from a generated final industrial Internet of Things solution.
Although the content of the present invention is described in detail through the foregoing preferred embodiments, it should be learned that the foregoing description should not be considered as a limitation on the present invention. After a person skilled in the art reads the foregoing content, various modifications and replacements of the present invention would be obvious. Therefore, the protection scope of the present invention should be limited by the appended claims. In addition, any reference numeral in the claims should  not be considered as a limitation on the involved claim. A word "include" does not exclude apparatuses or steps not listed in other claims or in the specification; words such as "first" and "second" are only used to represent names and do not indicate any particular sequence.

Claims (24)

  1. An application configuration method of an industrial Internet of Things solution, comprising the following steps:
    S1, obtaining a resource recommendation prompt from a repository according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base or the repository to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud and at an edge device end with a configuration needed by the application; and
    S2, generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.
  2. The application configuration method of an industrial Internet of Things solution according to claim 1, wherein the repository comprises:
    an industrial cloud application repository, storing a first application for the industrial cloud and/or a prompt for recommending the first application;
    an industrial Internet of Things model repository, storing an industrial Internet of Things model and/or a prompt for recommending the industrial Internet of Things model;
    an edge device end application workflow template repository, storing a workflow of an edge device end application and/or a prompt for recommending the workflow; and
    an edge device end application repository, storing a second application for an edge device end and/or a prompt for recommending the second application.
  3. The application configuration method of an industrial Internet of Things solution according to claim 2, wherein step S1 further comprises the following sub-steps:
    S11, selecting the first application from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution;
    S12, generating, based on the first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application, obtaining a first prompt for selecting the industrial Internet of Things model from the industrial Internet of Things model repository according to the user customized demand, and invoking the selected industrial Internet of Things model and a context relationship of the first application of the industrial Internet of Things model from the knowledge base;
    S13, matching a workflow template from the edge device end application workflow template repository based on the industrial Internet of Things model, the workflow template comprising a plurality of second applications associated with each other, then matching a second prompt of the second application from the edge device end application repository according to the matched workflow template, and invoking a context relationship, a workflow, and the second application of the industrial Internet of Things model from the knowledge base, wherein the second application comprises a preprocessing application and a data obtaining application; and
    S14, generating input/output data source configurations of the first application and the second application according to production line context information.
  4. The application configuration method of an industrial Internet of Things solution according to claim 3, wherein the context scene comprises a relationship between the applications and a relationship between the applications and the industrial Internet of Things model.
  5. The application configuration method of an industrial Internet of Things solution  according to claim 3, wherein step S11 further comprises the following step:
    selecting a plurality of first applications from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution and integrating the plurality of first applications into a first application combination.
  6. The application configuration method of an industrial Internet of Things solution according to claim 5, wherein when the plurality of first applications is integrated into the first application combination in step S11, step S12 further comprises the following step:
    generating, based on each first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application and integrating the plurality of industrial Internet of Things model combinations into an industrial Internet of Things model set.
  7. The application configuration method of an industrial Internet of Things solution according to claim 2, wherein step S2 further comprises the following steps: generating a final industrial Internet of Things solution according to the matched first application and second application, and configurations and workflows needed by the first application and the second application; invoking the matched first application and second application from the industrial cloud application repository and the edge device end application repository or the knowledge base; and respectively deploying the first application and the second application to the industrial cloud and the edge device end.
  8. The application configuration method of an industrial Internet of Things solution according to claim 1, wherein the application configuration method further comprises the following step:
    S3, updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the  knowledge base for repeated use.
  9. An application configuration apparatus of an industrial Internet of Things solution, obtaining a resource recommendation prompt from a repository according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud and at an edge device end with a configuration needed by the application; and generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.
  10. The application configuration apparatus of an industrial Internet of Things solution according to claim 9, wherein the repository comprises:
    an industrial cloud application repository, storing a first application for the industrial cloud and/or a prompt for recommending the first application;
    an industrial Internet of Things model repository, storing an industrial Internet of Things model and/or a prompt for recommending the industrial Internet of Things model;
    an edge device end application workflow template repository, storing a workflow of an edge device end application and/or a prompt for recommending the workflow; and
    an edge device end application repository, storing a second application for an edge device end and/or a prompt for recommending the second application.
  11. The application configuration apparatus of an industrial Internet of Things solution according to claim 10, further comprising:
    an application configuration apparatus, selecting the first application from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution; and generating, based on the first application, a plurality of industrial Internet of Things model combinations corresponding  to a plurality of devices associated with the first application, obtaining a first prompt for selecting the industrial Internet of Things model from the industrial Internet of Things model repository according to the user customized demand, and invoking the selected industrial Internet of Things model and a context relationship of the first application of the industrial Internet of Things model from the knowledge base;
    an industrial Internet of Things model generation module, matching a workflow template from the edge device end application workflow template repository based on the industrial Internet of Things model, the workflow template comprising a plurality of second applications associated with each other, then matching a second prompt of the second application from the edge device end application repository according to the matched workflow template, and invoking a context relationship, a workflow, and the second application of the industrial Internet of Things model from the knowledge base, wherein the second application comprises a preprocessing application and a data obtaining application; and
    an edge device end workflow matching and recommendation module, generating input/output data source configurations of the first application and the second application according to production line context information.
  12. The application configuration apparatus of an industrial Internet of Things solution according to claim 11, wherein the context scene comprises a relationship between the applications and a relationship between the applications and the industrial Internet of Things model.
  13. The application configuration apparatus of an industrial Internet of Things solution according to claim 11, wherein the application configuration apparatus further selects a plurality of first applications from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things  solution and integrates the plurality of first applications into a first application combination.
  14. The application configuration apparatus of an industrial Internet of Things solution according to claim 13, wherein the industrial Internet of Things model generation module further generates, based on each first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application and integrates the plurality of industrial Internet of Things model combinations into an industrial Internet of Things model set.
  15. The application configuration apparatus of an industrial Internet of Things solution according to claim 10, wherein the application configuration apparatus of an industrial Internet of Things solution further comprises a solution generation and application deployment module, generating a final industrial Internet of Things solution according to the matched first application and second application, and configurations and workflows needed by the first application and the second application; invoking the matched first application and second application from the industrial cloud application repository and the edge device end application repository or the knowledge base; and respectively deploying the first application and the second application to the industrial cloud and the edge device end.
  16. The application configuration apparatus of an industrial Internet of Things solution according to claim 9, wherein the application configuration apparatus further comprises a knowledge base improvement module 160, updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base for repeated use.
  17. An application configuration system of an industrial Internet of Things solution, comprising:
    a processor; and
    a memory coupled to the processor, wherein the memory has an instruction stored in the memory, the instruction enables the electronic device to execute an action when being executed by the processor, and the action comprises:
    obtaining a resource recommendation prompt from a repository according to a user customized demand of an industrial Internet of Things solution, invoking a resource from a knowledge base or the repository to generate an industrial Internet of Things model, and matching an application installed at an industrial cloud and at an edge device end with a configuration needed by the application; and
    generating the industrial Internet of Things solution and deploying the matched application to the industrial cloud and the edge device end.
  18. The application configuration system of an industrial Internet of Things solution according to claim 17, wherein the action further comprises:
    selecting the first application from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution;
    generating, based on the first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application, obtaining a first prompt for selecting the industrial Internet of Things model from the industrial Internet of Things model repository according to the user customized demand, and invoking the selected industrial Internet of Things model and a context relationship of the first application of the industrial Internet of Things model from the knowledge base;
    matching a workflow template from the edge device end application workflow template repository based on the industrial Internet of Things model, the workflow template comprising a plurality of second applications associated with each other, then matching a  second prompt of the second application from the edge device end application repository according to the matched workflow template, and invoking a context relationship, a workflow, and the second application of the industrial Internet of Things model from the knowledge base, wherein the second application comprises a preprocessing application and a data obtaining application; and
    generating input/output data source configurations of the first application and the second application according to production line context information.
  19. The application configuration system of an industrial Internet of Things solution according to claim 18, wherein the action further comprises:
    selecting a plurality of first applications from the industrial cloud application repository of the repository according to the user customized demand of the industrial Internet of Things solution and integrating the plurality of first applications into a first application combination.
  20. The application configuration system of an industrial Internet of Things solution according to claim 19, wherein when the plurality of first applications is integrated into the first application combination, the action further comprises:
    generating, based on each first application, a plurality of industrial Internet of Things model combinations corresponding to a plurality of devices associated with the first application and integrating the plurality of industrial Internet of Things model combinations into an industrial Internet of Things model set.
  21. The application configuration system of an industrial Internet of Things solution according to claim 18, wherein the action further comprises: generating a final industrial Internet of Things solution according to the matched first application and second application, and configurations and workflows needed by the first application and the second application; invoking the matched first application and second application from the  industrial cloud application repository and the edge device end application repository or the knowledge base; and respectively deploying the first application and the second application to the industrial cloud and the edge device end.
  22. The application configuration system of an industrial Internet of Things solution according to claim 17, wherein the action further comprises:
    updating a model based on the final industrial Internet of Things solution, an application set and a configuration of the application set, and a context scene to the knowledge base for repeated use.
  23. A computer program product, tangibly stored on a computer readable medium and comprising a computer executable instruction, enabling at least one processor to perform the method according to any one of claims 1 to 9 when the computer executable instruction is executed.
  24. A computer program, storing thereon a computer executable instruction, enabling at least one processor to perform the method according to any one of claims 1 to 9 when the computer executable instruction is executed.
PCT/CN2018/120703 2018-12-12 2018-12-12 Application configuration method, apparatus, system of industrial internet of things solution, computer software product, and readable medium WO2020118573A1 (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112799744A (en) * 2021-01-29 2021-05-14 北京索为系统技术股份有限公司 Calling method and device of industrial APP, computer readable medium and electronic equipment
CN114531462A (en) * 2021-12-31 2022-05-24 山东浪潮工业互联网产业股份有限公司 Data processing method and equipment for Internet of things equipment

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11550636B2 (en) * 2019-11-14 2023-01-10 Vmware, Inc. Internet of things solution deployment in hybrid environment
CN116711288A (en) * 2020-08-27 2023-09-05 西门子股份公司 Centralized management of dataflow graphs for distributed edge node deployment
CN113794776B (en) * 2021-09-16 2024-07-12 深圳市芯中芯科技有限公司 System and method for connecting multiple cloud ends by Internet of things equipment
CN114546528A (en) * 2022-02-24 2022-05-27 新奥数能科技有限公司 Cloud deployment method and device for Internet of things equipment and storage medium
CN116963027A (en) * 2022-04-13 2023-10-27 中移物联网有限公司 Network distribution method and device for dual-mode Internet of things equipment
CN117010495A (en) * 2022-04-25 2023-11-07 华为技术有限公司 Method and device for creating configuration knowledge base and related equipment
CN115297103B (en) * 2022-06-27 2024-01-23 青岛海尔智能家电科技有限公司 Method and device for acquiring logic constraint file, storage medium and electronic device
CN117812113B (en) * 2024-01-09 2024-08-23 中科物栖(南京)科技有限公司 Recommending method, recommending device, recommending equipment and recommending storage medium for Internet of things equipment

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080189278A1 (en) * 2007-02-07 2008-08-07 International Business Machines Corporation Method and system for assessing and refining the quality of web services definitions
CN102664915A (en) * 2012-03-23 2012-09-12 李海波 Service selection method based on resource constraint in cloud manufacturing environment
CN103336813A (en) * 2013-06-27 2013-10-02 南京邮电大学 Data integrated management scheme for Internet of Things based on middleware framework
CN103354506A (en) * 2013-07-03 2013-10-16 南京邮电大学 IOT service structure and service combining method
CN105096052A (en) * 2015-08-13 2015-11-25 河海大学常州校区 Cloud-oriented manufacturing multilevel resource model and construction method thereof
US20180143825A1 (en) 2016-11-22 2018-05-24 Sap Se Development of internet of things (iot) applications

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9721086B2 (en) * 2013-03-15 2017-08-01 Advanced Elemental Technologies, Inc. Methods and systems for secure and reliable identity-based computing
US9934069B2 (en) * 2013-03-19 2018-04-03 EMC IP Holding Company LLC Managing provisioning of storage resources
US9692748B2 (en) * 2014-09-24 2017-06-27 Oracle International Corporation Unified provisioning of applications on devices in an enterprise system
AU2016310529B2 (en) * 2015-08-27 2020-12-17 Johnson Controls Tyco IP Holdings LLP Edge intelligence platform, and internet of things sensor streams system
EP4071695B1 (en) * 2017-09-18 2024-11-06 Huawei Technologies Co., Ltd. Recommendation method and terminal

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080189278A1 (en) * 2007-02-07 2008-08-07 International Business Machines Corporation Method and system for assessing and refining the quality of web services definitions
CN102664915A (en) * 2012-03-23 2012-09-12 李海波 Service selection method based on resource constraint in cloud manufacturing environment
CN103336813A (en) * 2013-06-27 2013-10-02 南京邮电大学 Data integrated management scheme for Internet of Things based on middleware framework
CN103354506A (en) * 2013-07-03 2013-10-16 南京邮电大学 IOT service structure and service combining method
CN105096052A (en) * 2015-08-13 2015-11-25 河海大学常州校区 Cloud-oriented manufacturing multilevel resource model and construction method thereof
US20180143825A1 (en) 2016-11-22 2018-05-24 Sap Se Development of internet of things (iot) applications

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP3877925A4

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112799744A (en) * 2021-01-29 2021-05-14 北京索为系统技术股份有限公司 Calling method and device of industrial APP, computer readable medium and electronic equipment
CN112799744B (en) * 2021-01-29 2024-05-07 北京索为系统技术股份有限公司 Industrial APP calling method and device, computer readable medium and electronic equipment
CN114531462A (en) * 2021-12-31 2022-05-24 山东浪潮工业互联网产业股份有限公司 Data processing method and equipment for Internet of things equipment
CN114531462B (en) * 2021-12-31 2024-05-03 浪潮工业互联网股份有限公司 Data processing method and device for Internet of things device

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