WO2020172851A1 - 更新工业模型的数据的方法和装置 - Google Patents

更新工业模型的数据的方法和装置 Download PDF

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Publication number
WO2020172851A1
WO2020172851A1 PCT/CN2019/076472 CN2019076472W WO2020172851A1 WO 2020172851 A1 WO2020172851 A1 WO 2020172851A1 CN 2019076472 W CN2019076472 W CN 2019076472W WO 2020172851 A1 WO2020172851 A1 WO 2020172851A1
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variable
physical
physical image
field
industrial model
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PCT/CN2019/076472
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English (en)
French (fr)
Inventor
曹佃松
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西门子股份公司
西门子（中国）有限公司
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Priority to CN201980093256.2A priority Critical patent/CN113508343A/zh
Priority to PCT/CN2019/076472 priority patent/WO2020172851A1/zh
Priority to EP19917193.5A priority patent/EP3916494A4/en
Publication of WO2020172851A1 publication Critical patent/WO2020172851A1/zh

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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
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41885—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
    • 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
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/25—Pc structure of the system
    • G05B2219/25067—Graphic configuration control system
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Definitions

  • the present disclosure relates to the field of industrial control, and more specifically, to methods, devices, computing devices, computer-readable storage media, and program products for updating industrial model data.
  • An industrial model is a digital model representing an industrial field system, which can be widely used in industrial manufacturing, research and development, analysis, etc.
  • an industrial model can be used to digitally copy the field system, simulate the behavior of the field system in the real environment, and perform virtual simulations of products, manufacturing processes, and even the entire factory, thereby improving the production efficiency of product development and manufacturing of manufacturing enterprises.
  • the data of the industrial model needs to be updated with the changes of the field system in order to keep the data of the industrial model consistent with the data of the field system, and truly reflect the actual status of the field system, so as to accurately and timely track, analyze and optimize the field process.
  • industrial models can be used to evaluate things such as the quantity and quality of products, downtime analysis, failure rates, etc.
  • the data required in the field system is usually collected manually (for example, the records of the operation of the production equipment, the status of the production system, etc.), and the collected data is used to update the data of the industrial model.
  • the data collected manually is usually not complete, the data format is complicated, and when there are a large number of field systems or there are a large number of field objects in the field system, the process of using the manually collected data to update the industrial model corresponding to the field system It is often complicated and inefficient.
  • the first embodiment of the present disclosure proposes a method for updating data of an industrial model, which includes: obtaining a variable set of a virtual object in the industrial model from a parameter set associated with the industrial model.
  • the scene object in the system corresponds to the scene object, the value of each variable in the variable set can be changed during the operation of the scene object;
  • a physical mirroring template is defined based on the variable set, and the physical mirroring template represents the At least one variable included in the at least one physical image in the variable set and the format of the at least one physical image;
  • the operating state information of the field object is obtained from a data source associated with the field system, and the operating state Information is associated with the set of variables;
  • the at least one physical image is created based on the operating state information and the physical image template; and the data of the industrial model is updated by using the at least one physical image.
  • a physical mirror template is used to represent the variables included in the physical mirror and the format of the physical mirror to create a physical mirror reflecting the state in the physical world , Simplifies the complex processing in the data collection and data update stage of the industrial model, can comprehensively and automatically track the state changes in the physical world, thereby automatically updating the data of the industrial model, and the method is easy to implement to automatically maintain the data of the industrial model Consistent with the actual conditions of the physical world (for example, keeping the data of the industrial model synchronized with the data of the field system).
  • the method can select the variables of the virtual object of interest for tracking as needed, and provide the format specification requirements for the collected data, so as to be easily applicable to various applications.
  • the second embodiment of the present disclosure proposes an apparatus for updating data of an industrial model, including: a variable acquisition unit configured to acquire variables of virtual objects in the industrial model from a parameter set associated with the industrial model The virtual object corresponds to the field object in the field system, and the value of each variable in the variable set can be changed during the operation of the field object; the definition unit is configured to be based on the variable A set to define a physical mirror template, the physical mirror template represents at least one variable included in the at least one physical mirror in the variable set and the format of the at least one physical mirror; an information acquisition unit configured to slave and The data source associated with the field system obtains the operating state information of the field object, and the operating state information is associated with the variable set; a creation unit is configured to be based on the operating state information and the physical image A template to create the at least one physical image; and an update unit configured to use the at least one physical image to update the data of the industrial model.
  • the third embodiment of the present disclosure proposes a computing device, the computing device includes: a processor; and a memory, which is used to store computer-executable instructions, when the computer-executable instructions are executed, the processor Perform the method described in the first embodiment.
  • the fourth embodiment of the present disclosure proposes a computer-readable storage medium having computer-executable instructions stored thereon, and the computer-executable instructions are used to execute the instructions in the first embodiment. The method described.
  • the fifth embodiment of the present disclosure proposes a computer program product that is tangibly stored on a computer-readable storage medium and includes computer-executable instructions that, when executed, cause At least one processor executes the method described in the first embodiment.
  • Fig. 1 shows a flowchart of a method for updating data of an industrial model according to an embodiment of the present disclosure
  • Fig. 2 shows an example system for implementing the method of Fig. 1 according to an embodiment of the present disclosure
  • Figure 3 shows a schematic diagram of an industrial model according to an embodiment of the present disclosure
  • FIG. 4 shows an exemplary configuration diagram of variables of virtual objects according to the exemplary industrial model of FIG. 3;
  • Figure 5 shows a schematic diagram of a field system and its industrial model according to another embodiment of the present disclosure
  • Fig. 6 shows an apparatus for updating data of an industrial model according to an embodiment of the present disclosure.
  • FIG. 7 shows a block diagram of a computing device for updating data of an industrial model according to an embodiment of the present disclosure.
  • Fig. 1 shows a method for updating data of an industrial model according to an embodiment of the present disclosure.
  • the method 100 starts at step 101.
  • the variable set of the virtual object in the industrial model is obtained from the parameter set associated with the industrial model.
  • the virtual object corresponds to the field object in the field system, and the value of each variable in the variable set is in the field. Changes can occur during the operation of the object.
  • the field system is a system that performs transmission, control, production, and manufacturing operations in the field.
  • the field system may be an industrial process facility in a factory, such as a production line, process control system, etc.
  • the field system may include one or more field objects.
  • Field objects are various tools or resources used in industrial processes, such as various controllers, sensing devices, action devices, or combinations thereof (for example, integrating several devices). Station), and so on.
  • Controllers may include programmable logic controllers (PLCs), smart devices, industrial IoT smart gateways, etc.
  • Sensing devices may include sensors, buttons, code scanners, etc.
  • action devices may include motors, robotic arms, etc.
  • the action device is used to perform the operation of the product or provide a drive for the device that operates the product, and the sensing device is used to sense some variables that need to be collected in the field process, such as time, displacement, quantity, and specific characteristics of the product.
  • the controller is communicatively coupled with the sensor device and the action device, sends control signals to the sensor device and the action device, controls them, and receives data sensed by the sensor device.
  • the virtual objects of the industrial model corresponding to each field object can have various configurable variables. Among them, the value of some variables (for example, the processing time of the field object, etc.) can be changed during the operation of the field object, and other variables The value of (for example, the location of the field object, etc.) may remain unchanged during the operation of the field object. Initially, the values of the variables of the virtual objects in the industrial model are consistent with the initial conditions of the field objects in the field system.
  • the industrial model corresponding to a certain field system in a factory has two virtual objects "PreAssembly Station1" and “ShiftCalendar1 (shift scheduler)", which have two virtual objects running on the corresponding field system.
  • the variables "Processing Time (processing time)” and “Shift (shift)” whose values can be changed.
  • the value of the variable "Processing Time” of the virtual object "PreAssembly Station1" is configured to 1min (minutes), and subsequently, in the field system, when the workpiece reaches the corresponding field object, it is processed. After the treatment is completed, it can be determined that the actual treatment time is 2 min. The increase in the treatment time may be caused by, for example, the aging of the site object or environmental factors.
  • the value of the variable "Shift" of the virtual object "ShiftCalendar1" is configured as "DayShift”. Later, in the field system, due to personnel scheduling and task requirements, according to the corresponding The operating status of the field object can determine that the actual shift value has changed to "NightShift".
  • each virtual object may have any number of variables, for example, a virtual object may have zero, one, or more than one variable.
  • the changes in the physical world can be associated with each virtual object of the industrial model, and the state changes in the physical world can be tracked comprehensively, without the need to spend a lot of manpower to manually collect the required data.
  • the change of the physical world is manifested as the dynamic change of the variable value of the virtual object.
  • the variable set will be described in detail in a specific embodiment with reference to FIG. 3.
  • the trigger condition for obtaining the variable set of the virtual object may be any of the following situations: after the industrial model corresponding to the field system is initially established; when it is detected that the field object of the field system changes (for example, increase, Delete, modify, etc.), so that the virtual object of the industrial model changes accordingly; or periodically obtain it at regular intervals.
  • step 101 may include: obtaining the variable set from the parameter set according to the object attribute of the virtual object.
  • object attributes can include object type, object usage, and so on.
  • the object attribute is the object usage
  • the object usage indicates that the scene object corresponding to the virtual object has changed in performance (for example, the scene object is worn out, aging, exceeds the normal lifespan, or the scene object is When replacing new scene objects, etc.)
  • some parameters related to performance can be obtained from the parameter set as a variable set.
  • the parameter set may be a general variable library. For example, a unified universal variable library can be established for the virtual objects of the industrial model corresponding to each field system in the factory.
  • the general variable library can include the variables of virtual objects involved in the industrial model corresponding to each field system in the factory.
  • the values of these variables can be changed during the operation of the field objects, and for convenience, for multiple
  • the universal variable library may only store the variable of one virtual object among the multiple virtual objects.
  • the variables in the universal variable library can be indexed by the object type of the virtual object. For example, when the object type of the virtual object is "PreAssembly Station", the corresponding variable can be obtained by querying the object type from the universal variable library as "Processing Time”. Establishing a unified universal variable library for a factory is not only applicable to different field systems and industrial models in the factory, but also easy to expand.
  • a physical image template is defined based on a variable set, the physical image template representing at least one variable included in the at least one physical image in the variable set and the format of the at least one physical image.
  • the physical image template represents an abstraction of the physical world, and is used to generate a physical image, where the physical image can represent a record set that records the value of a variable of a virtual object.
  • the physical image template specifies which variables in the variable set are to be included in the physical image, and specifies the format of the physical image.
  • the variables of the virtual object of interest can be selected for tracking as required, and the format specification requirements for the collected data are provided, so as to be easily applicable to various applications. For example, data with regulatory requirements can be easily converted for analysis and optimization of field systems.
  • the format of the at least one physical image may include: the name of the at least one variable and corresponding variable attributes, and the variable attributes include at least one of variable type, data type, collection time, and collection area.
  • the name of the variable represents the identifier used to identify the variable.
  • the name of the variable can be realized by a placeholder, and has the form of field system identification + virtual object identification + variable, such as FSX_PreAssemblyStationX_ProcessingTime, which represents the variable of the virtual object "PreAssemblyStationX" of the industrial model corresponding to the field system "FSX" Processing Time".
  • the variable type can represent the type of the variable, such as control, feedback, transmission, indication, or a combination thereof.
  • the data type can represent the type of the value of the variable, such as IP (Internet Protocol) type, numeric type, string type, time type, enumeration type, or a combination thereof.
  • the collection time can indicate the time period during which the data related to the variable is collected.
  • the collection area can indicate the area in which the data related to the variable is collected, and the area can refer to the geographic location and network address of the field object in the physical world.
  • Specifying the specific format of the physical image in the physical image template can further provide a constraint definition on the format for the collected data, so that the collected variables can be easily used in various applications according to various variable attributes.
  • the operating state information of the field object is obtained from the data source associated with the field system, and the operating state information is associated with the variable set.
  • the field object "PreAssembly StationF1" corresponds to the virtual object "PreAssembly Station1" in the industrial model
  • the data source may be a sensor device used to monitor the operating state information of the field object in the field system, or a database
  • step 103 may include: obtaining the operating state information of the field object from a data source corresponding to the identification of the field system or the field object.
  • the data source may correspond to the identification of the field system or the identification of the field object.
  • step 104 at least one physical image is created based on the running status information and the physical image template.
  • at least one physical image is generated through the operating state information associated with the variable set and the physical image template defining the format of the physical image to reflect the change of the scene object in the physical world.
  • step 105 the method 100 proceeds to step 105 to use at least one physical mirror to update the data of the industrial model. So far, the physical mirroring can be used to automatically maintain the consistency between the actual data of the field system and the configuration data of the industrial model.
  • the method 100 may include: establishing an industrial model corresponding to the field system based on the feature information and processing sequence of the field object of the field system.
  • materials for example, raw materials, intermediate products, or products
  • the method 100 may include: establishing an industrial model corresponding to the field system based on the feature information and processing sequence of the field object of the field system.
  • materials for example, raw materials, intermediate products, or products
  • the processing sequence ie process
  • the establishment of an industrial model corresponding to the field system is mainly for the purpose of field system performance analysis. Therefore, the characteristic information of each field object may include the process relationship between each station, and each station at each station. The functions, attributes and network addresses of the field objects, the connection/control relationship between the field objects, etc., and other information related to the performance analysis of the field system.
  • step 104 of the method 100 may include: parsing the operating status information to determine the current value of at least one variable; formatting the current value of at least one variable according to the physical mirroring template; combining the at least one variable with The formatted current value of at least one variable is included in at least one physical image.
  • the time T1 and T2 can be parsed from the operating status information of the field object "PreAssembly StationF1", and the current value of the variable "Processing Time” can be determined by subtracting T1 from T2.
  • step 104 The value of the variable is formatted according to the format indicated by the physical image template (for example, formatted according to the data type of the time type), and the current value of the formatted variable "Processing Time" is stored in the physical image.
  • step 104 the current value of the variable of the virtual object can be collected according to the running status information, and the current value of the variable can be formatted to be stored in the physical mirror, so as to automatically collect and store the changes in the field object reflecting the physical world. Format the value.
  • step 105 may include: using the current value of the at least one variable included in the at least one physical image to update the previous value of the at least one variable of the virtual object.
  • step 105 since the physical mirroring has stored formatted values that reflect the changes of the field objects in the physical world, by updating the variables of the virtual objects corresponding to the field objects in the digital world, the field system is completed.
  • the synchronization between the actual data and the configuration data of the industrial model simplifies the complex data processing in the data update of the industrial model in the prior art.
  • step 103 of the method 100 may include obtaining operating status information of the field object in at least one time period
  • step 104 may include based on the operating status information of the field object in at least one time period and a physical mirroring template, Create at least one physical image.
  • the data update of the industrial model can be divided from the time axis to suit various situations. For example, when a field object fails or shuts down during a certain period of time, its operating state may be abnormal during that period of time and cannot reflect the real changes of the field object.
  • it is necessary to observe the performance of a live object in different time periods for example, one day, one week, one month, etc.).
  • step 105 may include: selecting a target physical image from at least one physical image created; and using the target physical image to update data of the industrial model.
  • the target physical image may be at least one of the at least one physical image.
  • step 103 of the method 100 may include obtaining the operating status information of the on-site object on at least one spatial area
  • step 104 may include based on the operating status information of the on-site object on the at least one spatial area and a physical mirroring template, Create at least one physical image.
  • the data update of the industrial model can be divided from the spatial regions to suit various situations. For example, when the field system or the field objects of the field system are divided according to spatial regions, physical mirror images of different regions can be created.
  • step 105 may include: selecting a target physical image from at least one physical image created; and using the target physical image to update data of the industrial model.
  • the physical mirrors of the specific spatial area of interest can be used to update the data of the industrial model, so as to analyze and optimize the field process of the specific spatial area .
  • FIG. 2 shows an example system 200 that implements the method 100 of FIG. 1 according to an embodiment of the present disclosure.
  • the system 200 includes a digital world DW and a physical world PW separated by a dotted line.
  • the digital world DW includes an initial industrial model 201, a physical mirror template 202, a model updater 206, and an updated industrial model 207.
  • the physical world PW includes a physical system 203 corresponding to the industrial model 201, and the physical system 203 includes a physical mirror generator 204 for generating several physical mirrors 205-1, 205-2, ..., 205-N.
  • the variable set of the virtual object in the industrial model 201 can be obtained from the parameter set associated with the industrial model 201 (for example, via step 101 in the method 100), and the physical mirroring template 202 can be defined based on the variable set (For example, via step 102 in the method 100), the physical mirror template 202 indicates that the variable set is included in at least one physical mirror (eg, one of the N physical mirrors 205-1, 205-2,..., 205-N or The format of at least one variable and at least one physical image in multiple).
  • the physical system 203 can obtain the operating state information of the field object (for example, via step 103 of the method 100), which is associated with the variable set.
  • the physical mirror generator 204 creates at least one physical mirror (eg, N physical mirrors 205-1, 205-2) based on the operating status information and the physical mirror template 202 obtained from the digital world DW (eg, received via a network, etc.) ,..., one or more of 205-N).
  • the model updater 206 can update the data of the initial industrial model 201 according to the physical mirror template 202 and at least one physical mirror obtained from the physical world PW (for example, received via a network, etc.) to generate a model. Updated industrial model 207.
  • FIG. 3 shows a schematic diagram of an industrial model 300 corresponding to the field system FS1 according to an embodiment of the present disclosure.
  • the physical architecture of the field system FS1 is not shown. This is because the industrial model 300 is a digital model of the physical architecture.
  • the virtual objects 301-305 in the industrial model 300 can correspond to each field object of the field system FS1 one-to-one.
  • the virtual object 301 is "PreAssembly Station”
  • the virtual object 302 is "Assembly Station”
  • the virtual object 303 is "Test Station”.
  • the virtual object 304 is "Packing Station”
  • the virtual object 305 is "ShiftCalendar (shift scheduler)".
  • the industrial model 300 also includes other objects "Source”, “Drain” and “EventController”.
  • the object “Source” can be regarded as a machine that produces parts or a receiving department that receives external parts
  • the object “Drain” can be regarded as The shipping department of parts
  • the object “EventController” is used to control the start, stop, reset, etc. of the simulation of the industrial model 300.
  • Objects "Source” and “Drain” and virtual objects 301-305 can simulate the entire on-site production process of parts from receiving ⁇ pre-assembly ⁇ assembly ⁇ packaging ⁇ delivery.
  • the field system FS1 can have field objects corresponding to virtual objects 301-305, for example, field objects "PreAssembly StationF1", “Assembly StationF1", “Test StationF1”, “Packing StationF1” And “ShiftCalendarF1".
  • a variable set of the virtual object may be obtained (for example, via step 101 of method 100), wherein the value of each variable in the variable set may change during the operation of the field object.
  • Table 1 shows an exemplary variable set of virtual objects of the industrial model 300 corresponding to the field system FS1:
  • Table 1 The variable set of the virtual objects of the industrial model 300
  • the virtual objects "PreAssembly Station”, “Assembly Station”, “Test Station” and “Packing Station” have similar variables “Processing Time” to indicate the processing time of the parts in the station, and the virtual object “ShiftCalendar” There is a variable “Shift” to indicate the shift (for example, day shift/night shift).
  • FIG. 4 shows an exemplary configuration diagram 400 of variables of virtual objects 301 and 305 according to the exemplary industrial model 300 of FIG. 3.
  • the left page in the configuration diagram 400 shows an exemplary configuration of the variable "Shift" of the virtual object 305
  • the right page in the configuration diagram 400 shows an exemplary configuration of the variable "Processing Time” of the virtual object 301.
  • the values of the variables of the virtual objects 301 and 305 of the industrial model 300 are configured to be consistent with the initial conditions of the corresponding field objects of the field system FS1, for example, the variable "Shift” is configured to be equal to " DayShift", the variable “Processing Time” is configured to be equal to 1min.
  • the physical image template can be defined based on the variable set of Table 1.
  • the physical image template identifies at least one variable included in the physical image in the variable set and the format of the physical image (for example, via the method 100 Step 102).
  • the physical image template specifies that the variable "Processing Time” of the virtual object "PreAssembly Station” and the variable "Shift” of the virtual object "ShiftCalendar" are to be included in the physical image.
  • Variable2 FS1_ShiftCalendar_Shift NightShift.
  • Fig. 5 shows a schematic diagram 500 of the physical architecture 501 and the industrial model 501' of the field system FS2 in the factory according to another embodiment of the present disclosure.
  • the physical architecture 501 of the field system FS2 includes a plurality of field objects S1, S2, S3, S4, and S5 located in multiple workstations, wherein the field objects S1 and S2 are located in the area Z1, and the field objects S3 and S4 are located in the area Z2.
  • the industrial model 501' has corresponding multiple virtual objects S1', S2', S3', S4' and S5' located in multiple workstations.
  • the virtual objects S1' and S2' are located in the area Z1'
  • the virtual objects S3' and S4' are located in the area Z2'.
  • the variable set of the virtual object S1'-S3' can be obtained as ⁇ V1, V2, V3 ⁇ (for example, via step 101 of the method 100).
  • Table 2 below shows an exemplary set of variables of virtual objects of the industrial model 501' corresponding to the field system FS2:
  • Table 2 Variable set of virtual objects of industrial model 501’
  • these variables V1-V3 of the virtual objects S1'-S3' of the industrial model 401' have initial configuration values, which are consistent with the initial conditions of the field objects S1-S3. For example, initially, V1 is configured for 3 minutes (for example, processing takes 3 minutes), and V3 is configured for 2 (for example, 2 good products are produced per minute). With the operation of the field objects S1-S3, the actual values of these variables V1-V3 may be different from the initial configuration values.
  • the physical mirroring template can be defined based on the variable set of Table 2.
  • the physical mirroring template represents at least one variable included in the physical mirroring in the variable set and the format of the physical mirroring (for example, via the method 100 Step 102).
  • the physical image template specifies that variables V1 and V3 are to be included in the physical image.
  • the operation status information associated with the variables can be obtained (for example, via step 103 of the method 100), for example, from the identification corresponding to the field system FS2 or the field object S1/S3
  • the data source obtains the operating status information of the field objects S1/S3.
  • the data source may be a sensor device used to monitor the operating state information of the field object in the field system, or a database that stores related data (for example, operating state information) of the field object in the field system.
  • the field object S5 is a sensing device used to monitor the operating status information of each field object in the field system FS2.
  • the S5 can collect the operating status information of each field object at predetermined time intervals and store the operating status information in the memory or In the database.
  • the field object S5 may be integrated in the monitored field object or separated from the monitored field object.
  • several fields such as field system identification, data source type, data source identification, field object identification, operation status, data, and time stamp can be established to store the data of the data source as a unified structure.
  • the operating status information may include operating status, data and time stamps, and other required data.
  • Table 3 A portion of the sample database is shown in Table 3 below:
  • Table 3 shows only a part of the sample database.
  • the operating status information of the field object can be obtained according to one or more of the field system identification, the data source identification, and the field object identification. For example, you can collect data about the field object S1 in units of 1s (seconds). According to the operating status information of the field object S1, the actual elapsed time from "processing" ⁇ "processing" ⁇ "processing completed” is 2min. . For example, it is possible to collect data on the field object S2 in a unit of 1 min, and it is known that the number of good products of the field object S2 differs in different time periods according to the operating status information of the field object S2.
  • the "data source type" field may also include other types of sensing devices, or may include other devices that generate data.
  • the running status information can be analyzed to determine the current value of the variable, and the current value of the variable can be formatted according to the physical image template, and the current value of the variable and the formatted variable can be included in the physical image.
  • the physical image may be created based on the operating status information obtained from the data source and the physical image template (for example, via step 104 of the method 100).
  • the physical image can be expressed as follows:
  • Variable2 FS2_S3’_V3 2.
  • the scene objects S1-S4 can be divided into different spatial regions, and the operating status information of the scene object S1 in the space zone Z1 and the scene object S2 in the space zone Z2 can be obtained respectively.
  • the operating status information on the Two physical mirror images can be created based on the operating status information of the field object S1 on the space zone Z1 and the operating status information of the field object S2 on the space zone Z2.
  • two physical images can be expressed as follows:
  • Variable1 FS2_S1’_V1 2min.
  • Variable2 FS2_S3’_V3 2.
  • At least one physical image can be selected as the target physical image from the created one or more physical images, and the target physical image of the specific space area of interest can be used to update the data of the industrial model 501' to the specific space. Analysis and optimization of the regional on-site process.
  • one or more physical images can be created based on the operating status information and physical image templates in one or more time periods as obtained from Table 3.
  • two physical images can be expressed as follows:
  • Variable2 FS2_S3’_V3 2.
  • Variable1 FS2_S1’_V1 2.2min
  • Variable2 FS2_S3’_V3 1.
  • At least one physical image can be selected as the target physical image from the created one or more physical images, and the target physical image of the specific time period of interest is used to update the data of the industrial model 501', so as to The on-site process on the segment is analyzed and optimized.
  • the physical architecture 501 of the field system FS2 may be divided into multiple subsystems (for example, divided according to spatial regions as described above, or divided in other ways), each of the multiple subsystems includes At least one live object.
  • the industrial model 501' is divided into a plurality of parts, and each part includes at least one virtual object. Applying the method 100 to each part of the industrial model 501' and the corresponding subsystem of the physical architecture 501 can realize the update of this part of the industrial model 501'.
  • the physical architecture 501 includes a large number of field objects and therefore the industrial model 501' includes a large number of virtual objects
  • updating the industrial model through the above division can reduce the complexity of data collection and processing, for example, some of the industrial models Part of the data does not need to be updated.
  • updating the data of the industrial model 501' may include using the current values of the formatted variables included in the physical image to update the previous values of the variables of the virtual objects in the industrial model 401'.
  • FIG. 3 and FIG. 5 only show one field system, for the purpose of example and not limitation, these embodiments may be applicable to the situation of more than one field system.
  • FIG. 6 shows an apparatus 600 for updating an industrial model of a field system according to an embodiment of the present disclosure.
  • the device 600 includes a variable acquisition unit 601, a definition unit 602, an information acquisition unit 603, a creation unit 604, and an update unit 605.
  • the variable obtaining unit 601 may be configured to obtain a variable set of virtual objects in the industrial model from a parameter set associated with the industrial model.
  • the virtual object corresponds to the field object in the field system, and the value of each variable in the variable set is The value can change during the operation of the field object.
  • the defining unit 602 may be configured to define a physical mirror template based on a variable set, the physical mirror template representing at least one variable included in the at least one physical mirror in the variable set and a format of the at least one physical mirror.
  • the information acquiring unit 603 may be configured to acquire operating state information of the field object from a data source associated with the field system, and the operating state information is associated with a variable set.
  • the creating unit 604 may be configured to create at least one physical image based on the operating status information and the physical image template.
  • the update unit 605 may be configured to use the at least one physical mirror to update the data of the industrial model.
  • Each unit in FIG. 6 can be implemented by software, hardware (for example, integrated circuit, programmable logic device, etc.), or a combination of software and hardware.
  • variable acquisition unit 601 may be further configured to select a variable set from the parameter set according to the object attribute of the virtual object.
  • the information obtaining unit 603 may be further configured to obtain the operating status information of the field object from a data source corresponding to the identification of the field system or the field object.
  • the creating unit 604 may be further configured to: parse the operating status information to determine the current value of the at least one variable; format the current value of the at least one variable according to the physical mirroring template; One variable and the formatted current value of the at least one variable are included in the at least one physical image.
  • the update unit 605 may be further configured to use the formatted current value of the at least one variable included in the at least one physical image to virtualize the previous value of the at least one variable of the object.
  • FIG. 7 shows a block diagram of a computing device 700 for updating an industrial model of a field system according to an embodiment of the present disclosure. It can be seen from FIG. 7 that a computing device 700 for updating an industrial model of a field system includes a processor 701 and a memory 702 coupled to the processor 701.
  • the memory 702 is used to store computer-executable instructions, and when the computer-executable instructions are executed, the processor 701 executes the method in the above embodiment.
  • the above method can be implemented by a computer-readable storage medium.
  • the computer-readable storage medium carries computer-readable program instructions for executing various embodiments of the present disclosure.
  • the computer-readable storage medium may be a tangible device that can hold and store instructions used by the instruction execution device.
  • the computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing.
  • Computer-readable storage media include: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) Or flash memory), static random access memory (SRAM), portable compact disk read-only memory (CD-ROM), digital versatile disk (DVD), memory stick, floppy disk, mechanical encoding device, such as a printer with instructions stored thereon
  • RAM random access memory
  • ROM read-only memory
  • EPROM erasable programmable read-only memory
  • flash memory flash memory
  • SRAM static random access memory
  • CD-ROM compact disk read-only memory
  • DVD digital versatile disk
  • memory stick floppy disk
  • mechanical encoding device such as a printer with instructions stored thereon
  • the computer-readable storage medium used here is not interpreted as a transient signal itself, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (for example, light pulses through fiber optic cables), or through wires Transmission of electrical signals.
  • the present disclosure proposes a computer-readable storage medium having computer-executable instructions stored thereon, and the computer-executable instructions are used to execute various implementations of the present disclosure.
  • the method in the example is a computer-readable storage medium having computer-executable instructions stored thereon, and the computer-executable instructions are used to execute various implementations of the present disclosure. The method in the example.
  • the present disclosure proposes a computer program product, which is tangibly stored on a computer-readable storage medium, and includes computer-executable instructions that, when executed, cause At least one processor executes the methods in the various embodiments of the present disclosure.
  • the various example embodiments of the present disclosure may be implemented in hardware or special purpose circuits, software, firmware, logic, or any combination thereof. Certain aspects may be implemented in hardware, while other aspects may be implemented in firmware or software that may be executed by a controller, microprocessor, or other computing device.
  • firmware or software that may be executed by a controller, microprocessor, or other computing device.
  • the computer-readable program instructions or computer program products used to execute the various embodiments of the present disclosure can also be stored in the cloud. When needed, the user can access the files stored on the cloud for execution through the mobile Internet, fixed network or other networks.
  • the computer-readable program instructions of an embodiment of the present disclosure implement the technical solutions disclosed according to the various embodiments of the present disclosure.

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Abstract

本公开的实施例提供了一种更新工业模型的数据的方法，包括：从与工业模型相关联的参数集合获取工业模型的虚拟对象的变量集合；基于变量集合来定义物理镜像模板，物理镜像模板表示变量集合中被包括在至少一个物理镜像中的至少一个变量以及该至少一个物理镜像的格式；从与现场系统相关联的数据源获取现场对象的运行状态信息；基于运行状态信息和物理镜像模板来创建该至少一个物理镜像；以及利用该至少一个物理镜像来更新工业模型的数据。根据本公开的实施例，简化了在数据收集和工业模型的数据更新阶段的复杂处理，能够全面且自动跟踪现场系统中的状态变化，从而自动地保持工业模型的配置与现场系统的实际状况一致。

Description

更新工业模型的数据的方法和装置 技术领域
本公开涉及工业控制领域，更具体地说，涉及更新工业模型的数据的方法、装置、计算设备、计算机可读存储介质和程序产品。
背景技术
工业模型是表示工业现场系统的数字模型，其可以广泛地应用于工业制造、研发、分析等。例如，可以通过工业模型来以数字化方式拷贝现场系统，模拟现场系统在现实环境中的行为，对例如产品、制造过程乃至整个工厂进行虚拟仿真，从而提高制造企业产品研发、制造的生产效率。工业模型的数据需要随现场系统变化而更新，以便保持工业模型的数据与现场系统的数据一致，真实反映现场系统的实际状况，从而对现场过程进行准确和及时的跟踪、分析和优化。例如，工业模型可用以评估诸如产品的数量和质量、停机时间分析、故障率等。
在现有技术中，通常通过手动地收集现场系统中所需的数据(例如，生产设备运行的记录、生产系统的状况等)，并使用所收集的数据来更新工业模型的数据。手动地收集的数据通常不够完整，数据格式纷繁复杂，并且在存在大量现场系统或现场系统中存在大量现场对象的情况下，利用手动地收集的数据来更新与现场系统相对应的工业模型的过程往往是复杂的和低效的。
发明内容
在目前的工业模型的数据更新方法中，针对各种现场系统，都需要手动地收集所需的数据，并使用所收集的数据来更新工业模型的数据。因此，在现场系统数量较多或现场系统中的现场对象较多时，需要在数据收集和工业模型的数据更新阶段进行大量的复杂处理，不能容易地适用各种应用。
本公开的第一实施例提出了一种更新工业模型的数据的方法，包括：从与工业模型相关联的参数集合中获取所述工业模型中的虚拟对象的变量集合，所述虚拟对象与现场系统中的现场对象相对应，所述变量集合中的每个变量的值在所述现场对象的运行中可发生改变；基于所述变量集合来定义物理镜像模板，所述物理镜像模板表示所述变量集合中被包括在至少一个物理镜像中的至少一个变量以及所述至少一个物理镜像的格式；从与所述现场系统相关联的数据源获取所述现场对象的运行状态信息，所述运行状态信息与所述变量集合相关联；基于所述运行状态信息和所述物理镜像模板来创建所述至少一个物理镜像；以及利用所述至少一个物理镜像来更新所述工业模型的数据。
在该实施例中，通过获取可在现场对象的运行中发生改变的变量集合，利用物理镜像模板表示被包括在物理镜像中的变量及物理镜像的格式，创建反映物理世界中的状态的物理镜像，简化了在数据收集和工业模型的数据更新阶段的复杂处理，能够全面且自动跟踪物理世界中的状态变化，从而自动更新工业模型的数据，并且该方法容易实现以自动地保持工业模型的数据与物理世界的实际状况一致(例如，使工业模型的数据与现场系统的数据保持同步)。此外，该方法可以根据需要选择感兴趣的虚拟对象的变量进行跟踪，并且为收集的数据提供格式上的规范要求，以容易地适用于各种应用。
本公开的第二实施例提出了一种更新工业模型的数据的装置，包括：变量获取单元，其被配置为从与工业模型相关联的参数集合中获取所述工业模型中的虚拟对象的变量集合，所述虚拟对象与现场系统中的现场对象相对应，所述变量集合中的每个变量的值在所述现场对象的运行中可发生改变；定义单元，其被配置为基于所述变量集合来定义物理镜像模板，所述物理镜像模板表示所述变量集合中被包括在至少一个物理镜像中的至少一个变量以及所述至少一个物理镜像的格式；信息获取单元，其被配置为从与所述现场系统相关联的数据源获取所述现场对象的运行状态信息，所述运行状态信息与所述变量集合相关联；创建单元，其被配置为基于所述运行状态信息和所述物理镜像模板来创建所述至少一个物理镜像；以及更新单元，其被配置为利用所述至少一个物理镜像来更新所述工业模型的数据。
本公开的第三实施例提出了一种计算设备，所述计算设备包括：处理器； 以及存储器，其用于存储计算机可执行指令，当所述计算机可执行指令被执行时使得所述处理器执行第一实施例中所述的方法。
本公开的第四实施例提出了一种计算机可读存储介质，所述计算机可读存储介质具有存储在其上的计算机可执行指令，所述计算机可执行指令用于执行第一实施例中所述的方法。
本公开的第五实施例提出了一种计算机程序产品，所述计算机程序产品被有形地存储在计算机可读存储介质上，并且包括计算机可执行指令，所述计算机可执行指令在被执行时使至少一个处理器执行第一实施例中所述的方法。
附图说明
结合附图并参考以下详细说明，本公开的各实施例的特征、优点及其他方面将变得更加明显，在此以示例性而非限制性的方式示出了本公开的若干实施例，在附图中：
图1示出了根据本公开的一个实施例的更新工业模型的数据的方法的流程图；
图2示出了根据本公开的一个实施例的实现图1的方法的示例系统；
图3示出了根据本公开的一个实施例的工业模型的示意图；
图4示出了根据图3的示例工业模型的虚拟对象的变量的示例性配置图；
图5示出了根据本公开的另一个实施例的现场系统及其工业模型的示意图；
图6示出了根据本公开的一个实施例的更新工业模型的数据的装置；以及
图7示出了根据本公开的一个实施例的更新工业模型的数据的计算设备的框图。
具体实施方式
以下参考附图详细描述本公开的各个示例性实施例。虽然以下所描述的示例性方法、装置包括在其它组件当中的硬件上执行的软件和/或固件，但是 应当注意，这些示例仅仅是说明性的，而不应看作是限制性的。例如，考虑在硬件中独占地、在软件中独占地、或在硬件和软件的任何组合中可以实施任何或所有硬件、软件和固件组件。因此，虽然以下已经描述了示例性的方法和装置，但是本领域的技术人员应容易理解，所提供的示例并不用于限制用于实现这些方法和装置的方式。
此外，附图中的流程图和框图示出了根据本公开的各个实施例的方法和系统的可能实现的体系架构、功能和操作。应当注意，方框中所标注的功能也可以按照不同于附图中所标注的顺序发生。例如，两个接连地表示的方框实际上可以基本并行地执行，或者它们有时也可以按照相反的顺序执行，这取决于所涉及的功能。同样应当注意的是，流程图和/或框图中的每个方框、以及流程图和/或框图中的方框的组合，可以使用执行规定的功能或操作的专用的基于硬件的系统来实现，或者可以使用专用硬件与计算机指令的组合来实现。
本文所使用的术语“包括”、“包含”及类似术语是开放性的术语，即“包括/包含但不限于”，表示还可以包括其它内容。术语“基于”是“至少部分地基于”。术语“一个实施例”表示“至少一个实施例”；术语“另一实施例”表示“至少一个另外的实施例”等等。
图1示出了根据本公开的一个实施例的更新工业模型的数据的方法。参考图1，方法100从步骤101开始。在步骤101中，从与工业模型相关联的参数集合中获取工业模型中的虚拟对象的变量集合，虚拟对象与现场系统中的现场对象相对应，该变量集合中的每个变量的值在现场对象的运行中可发生改变。现场系统是在现场中进行传输、控制、生产、制造等操作的系统。例如，现场系统可以是工厂中的工业过程设施，诸如生产线、过程控制系统等。现场系统可以包括一个或多个现场对象，现场对象是在工业过程中所使用的各种工具或资源，诸如各种控制器、传感设备、动作设备、或其组合(例如，集成若干设备的站)的现场设备，等等。控制器可以包括可编程逻辑控制器(PLC)、智能设备、工业物联网智能网关等，传感设备可以包括传感器、按钮、扫码器等，动作设备可以包括电机、机械手臂等。动作设备用于执行对产品的操作或为操作产品的设备提供驱动，传感设备用于感测现场过程中需要收集的一些变量，例如时间、位移、数量、产品的特定特征等。控 制器与传感设备和动作设备通信耦合，向传感设备和动作设备发送控制信号，对它们进行控制，并且接收传感设备所感测到的数据。与各个现场对象相对应的工业模型的虚拟对象可以具有各种可配置的变量，其中，一些变量(例如，现场对象的处理时间等)的值可在现场对象的运行中发生改变，另一些变量(例如，现场对象的位置等)的值可在现场对象的运行中保持不变。初始地，工业模型中的虚拟对象的变量的值与现场系统中的现场对象的初始状况是相一致的，随着现场系统的运营，由于现场对象的运行状态发生改变，现场对象的实际状况及其相应的虚拟对象的变量的值将不相同，从而导致现场系统及其工业模型之间的不匹配。例如，与工厂中某个现场系统相对应的工业模型中具有两个虚拟对象“PreAssembly Station1(预装配站)”和“ShiftCalendar1(排班调度器)”，分别具有在相应的现场对象的运行时变量值可发生改变的变量“Processing Time(处理时间)”和“Shift(班次)”。在一个示例中，初始地，虚拟对象“PreAssembly Station1”的变量“Processing Time”的值被配置为1min(分钟)，后续地，在现场系统中，当工件到达相对应的现场对象后被处理，在处理完成后可确定经处理的实际时间为2min，该处理时间的变长例如可能是由现场对象的老化或环境因素导致的。在另一个示例中，初始地，虚拟对象“ShiftCalendar1”的变量“Shift”的值被配置为“DayShift(日班)”，后续地，在现场系统中，由于人员调度和任务需求，根据相应的现场对象的运行状态可确定实际班次的值已变为“NightShift(夜班)”。应当理解，各个虚拟对象可以具有任意数量的变量，例如，一个虚拟对象可能具有零个、一个或多于一个变量。在该步骤101中，通过获取变量集合可以将物理世界的变化与工业模型的各个虚拟对象关联起来，全面跟踪物理世界中的状态变化，而无需耗费大量的人力去手动地收集所需的数据。也就是说，物理世界的变化表现为虚拟对象的变量值的动态变化。下文中将参照图3以一个具体的实施例详细介绍变量集合。在一些实施例中，获取虚拟对象的变量集合的触发条件可以是以下中的任何情形：在对应于现场系统的工业模型初始建立后；当检测到现场系统的现场对象发生变化(例如，增加、删除、修改等)，从而使得工业模型的虚拟对象发生相应变化时；或者每隔一段时间，周期性地进行获取。
在一些实施例中，步骤101可以包括：根据虚拟对象的对象属性，从该 参数集合中获取该变量集合。例如，对象属性可以包括对象类型、对象使用情况等。在一个示例中，当对象属性为对象使用情况，并且对象使用情况表示与虚拟对象相对应的现场对象已出现性能变化(例如，该现场对象出现磨损、老化、超出正常寿命，或该现场对象被新的现场对象替换等)时，可以从参数集合中获取与性能相关的一些参数作为变量集合。在另一个示例中，参数集合可以是通用变量库。例如，可以为与工厂中的各现场系统相对应的工业模型的虚拟对象建立统一的通用变量库。也就是说，通用变量库可以包括与工厂中各现场系统相对应的工业模型所涉及的虚拟对象的变量，这些变量的值可在现场对象的运行中发生改变，并且出于便利，对于多个相同/相似的虚拟对象，通用变量库中可以只需存储该多个虚拟对象中的一个虚拟对象的变量。例如，通用变量库中的变量可以以虚拟对象的对象类型为索引，例如当虚拟对象的对象类型为“PreAssembly Station”，通过从通用变量库中查询该对象类型可以得到其相应的变量为“Processing Time”。为一个工厂建立统一的通用变量库，不仅能够适用于工厂中不同现场系统及其工业模型，而且也易于扩展。例如，当工厂中增加新的现场系统或对旧的现场系统进行改造以在工业模型中增加新的虚拟对象或修改旧的虚拟对象时，仅需要对通用变量库进行修改即可，即在通用变量库中增加新的虚拟对象或修改(例如，增加、删除、改变等)旧的虚拟对象的相关变量。
继续参考图1，接下来，方法100行进到步骤102。在步骤102中，基于变量集合来定义物理镜像模板，该物理镜像模板表示变量集合中被包括在至少一个物理镜像中的至少一个变量以及该至少一个物理镜像的格式。物理镜像模板表示对物理世界的抽象化，其用于生成物理镜像，其中，物理镜像可以表示记录虚拟对象的变量的值的记录集合。具体而言，物理镜像模板指定变量集合中的哪些变量要被包括在物理镜像中，并且指定物理镜像的格式。在该步骤102中，通过定义物理镜像模板可以根据需要选择感兴趣的虚拟对象的变量进行跟踪，并且为收集的数据提供格式上的规范要求，以容易地适用于各种应用。例如，可以容易地对具有规范要求的数据进行转换以用于对现场系统的分析和优化。
在一些实施例中，该至少一个物理镜像的格式可以包括：该至少一个变量的名称以及相应的变量属性，变量属性包括变量类型、数据类型、收集时 间、收集区域中的至少一个。变量的名称表示用于标识变量的标识符。例如，变量的名称可以通过占位符来实现，具有现场系统标识+虚拟对象标识+变量的形式，诸如FSX_PreAssemblyStationX_ProcessingTime，其表示与现场系统“FSX”对应的工业模型的虚拟对象“PreAssemblyStationX”的变量“Processing Time”。变量类型可以表示变量的类型，诸如控制、反馈、传输、指示、或其组合等。数据类型可以表示变量的值的类型，诸如IP(网际协议)类型、数值类型、字符串类型、时间类型、枚举类型、或其组合等。收集时间可以表示与变量相关的数据在那一时间段被收集。收集区域可以表示与变量相关的数据在哪一区域被收集，区域可以是指现场对象在物理世界的地理位置、网络地址等。例如，物理镜像的格式可以表示为如下形式：Variable＝[FSX_PreAssemblyStationX_ProcessingTime(变量名称)]，VariableProperties(变量属性)＝[VariableType，DataType，CollectedTime，CollectedZone]，其中，变量属性中的一些可以具有缺省值。在物理镜像模板中规定物理镜像的具体格式可以进一步为收集的数据提供格式上的约束定义，以容易地根据各种变量属性将所收集的变量用于各种应用。
接着，在步骤103中，从与现场系统相关联的数据源获取现场对象的运行状态信息，该运行状态信息与变量集合相关联。例如，工厂中某个现场系统中具有现场对象“PreAssembly StationF1”，现场对象“PreAssembly StationF1”与工业模型中的虚拟对象“PreAssembly Station1”相对应，现场对象“PreAssembly StationF1”的运行状态信息可以包括时间T1和T2，时间T1表示当一个工件到达“PreAssembly StationF1”开始进行处理时的时间，时间T2表示在对该工件处理完成时的时间，时间T1和T2都与虚拟对象“PreAssembly Station1”的变量“Processing Time”相关，因为“Processing Time”的实际值＝T2-T1。例如，数据源可以是现场系统中用于监测现场对象的运行状态信息的传感设备，或者是存储现场系统中现场对象的相关数据(例如，运行状态信息)的数据库等。
在一些实施例中，步骤103可以包括：从与现场系统或现场对象的标识相对应的数据源获得现场对象的运行状态信息。例如，数据源可以与现场系统的标识或现场对象的标识相对应。
接着，在步骤104中，基于运行状态信息和物理镜像模板来创建至少一 个物理镜像。在该步骤104中，通过与变量集合相关联的运行状态信息和定义物理镜像的格式的物理镜像模板来生成至少一个物理镜像，以反映物理世界中的现场对象的变化。
接着，方法100转到步骤105，利用至少一个物理镜像来更新工业模型的数据。至此，可以通过物理镜像来自动保持现场系统的实际数据与工业模型的配置数据之间的一致。
在一些实施例中，在步骤101之前，方法100可以包括：基于现场系统的现场对象的特征信息和处理顺序，建立与现场系统相对应的工业模型。在现场系统中，材料(例如，原材料、中间产物或产品)通过各现场对象进行例如流转生产、检测等一系列操作。因此，为了使得工业模型能够与现场系统相对应，需要获得现场系统的各现场对象的特征信息以及对材料的处理顺序(即工序)。在一些实施例中，建立与现场系统相对应的工业模型主要是为了现场系统性能分析的目的，因此，各现场对象的特征信息可以包括各个工位之间的工序关系、各个工位处的各现场对象的功能、属性和网络地址、各现场对象之间的连接/控制关系等，以及与现场系统性能分析有关的其它信息。
在一些实施例中，方法100的步骤104可以包括：对运行状态信息进行解析以确定至少一个变量的当前值；根据物理镜像模板，对至少一个变量的当前值进行格式化；将至少一个变量和经格式化的至少一个变量的当前值包括在至少一个物理镜像中。例如，如先前在步骤103中所举例说明的，从现场对象“PreAssembly StationF1”的运行状态信息中可以解析出时间T1和T2，通过将T2减去T1可以确定变量“Processing Time”的当前值，并根据物理镜像模板指示的格式对该变量的值进行格式化(例如，按照时间类型的数据类型进行格式化)，将经格式化的变量“Processing Time”的当前值存储在物理镜像中。在该步骤104中，可以根据运行状态信息收集虚拟对象的变量的当前值，并对变量的当前值进行格式化以存储在物理镜像中，从而自动收集并存储反映物理世界的现场对象的变化的格式化值。在这些实施例中，步骤105可以包括：使用至少一个物理镜像中包括的至少一个变量的当前值来更新虚拟对象的该至少一个变量的先前值。在该步骤105中，由于物理镜像中已存储了反映物理世界的现场对象的变化的格式化值，通过在数字世界 中对与现场对象相对应的虚拟对象的变量进行更新，完成了现场系统的实际数据与工业模型的配置数据之间的同步，从而简化了现有技术在工业模型的数据更新时的复杂数据处理。
在一些实施例中，方法100的步骤103可以包括获取现场对象在至少一个时间段上的运行状态信息，并且步骤104可以包括基于现场对象在至少一个时间段上的运行状态信息和物理镜像模板，创建至少一个物理镜像。通过创建基于不同时间段的物理镜像，可以将工业模型的数据更新从时间轴上进行划分，以适用各种情形。例如，当一个现场对象在某个时间段发生故障或停机时，其运行状态可能在该时间段上是非正常的，不能反映现场对象的真实变化。又例如，出于特定目的，需要在不同的时间段上(例如，一天、一周、一月等)去观察一个现场对象的表现。在这些实施例中，步骤105可以包括：从所创建的至少一个物理镜像中选择目标物理镜像；利用该目标物理镜像来更新工业模型的数据。例如，目标物理镜像可以是该至少一个物理镜像中的至少一个。通过从基于不同时间段的一个或多个物理镜像选择至少一个物理镜像，可以利用感兴趣的特定时间段的物理镜像来更新工业模型的数据，以便对该特定时间段上的现场过程进行分析和优化。
在一些实施例中，方法100的步骤103可以包括获取现场对象在至少一个空间区域上的运行状态信息，并且步骤104可以包括基于现场对象在至少一个空间区域上的运行状态信息和物理镜像模板，创建至少一个物理镜像。通过创建基于不同空间区域的物理镜像，可以将工业模型的数据更新从空间区域上进行划分，以适用各种情形。例如，当现场系统或现场系统的现场对象按照空间区域来划分时，可以创建关于不同区域的物理镜像。在这些实施例中，步骤105可以包括：从所创建的至少一个物理镜像中选择目标物理镜像；利用该目标物理镜像来更新工业模型的数据。通过从基于不同空间区域的一个或多个物理镜像选择至少一个物理镜像，可以利用感兴趣的特定空间区域的物理镜像来更新工业模型的数据，以便对该特定空间区域的现场过程进行分析和优化。
图2示出了根据本公开的一个实施例的实现图1的方法100的示例系统200。系统200包括以虚线分开的数字世界DW和物理世界PW。数字世界DW包括初始的工业模型201、物理镜像模板202、模型更新器206和经更 新的工业模型207。物理世界PW包括与工业模型201相对应的物理系统203，物理系统203包括物理镜像生成器204，用于生成若干个物理镜像205-1、205-2、…、205-N。在数字世界DW中，可以从工业模型201相关联的参数集合中获取工业模型201中的虚拟对象的变量集合(例如，经由方法100中的步骤101)，并基于变量集合来定义物理镜像模板202(例如，经由方法100中的步骤102)，物理镜像模板202表示变量集合中包括在至少一个物理镜像(例如，N个物理镜像205-1、205-2、…、205-N中的一个或多个)中的至少一个变量和至少一个物理镜像的格式。在物理世界PW中，物理系统203可以获取现场对象的运行状态信息(例如，经由方法100的步骤103)，该运行状态信息与变量集合相关联。然后，物理镜像生成器204基于运行状态信息和从数字世界DW获取(例如，经由网络接收等)的物理镜像模板202来创建至少一个物理镜像(例如，N个物理镜像205-1、205-2、…、205-N中的一个或多个)。随后，在数字世界DW中，模型更新器206可以根据物理镜像模板202和从物理世界PW获取(例如，经由网络接收等)的至少一个物理镜像对初始的工业模型201的数据进行更新以生成经更新的工业模型207。
图3示出了根据本公开的一个实施例的与现场系统FS1相对应的工业模型300的示意图。出于方便，没有示出现场系统FS1的物理架构，这是因为工业模型300是该物理架构的数字模型，工业模型300中的虚拟对象301-305可以与现场系统FS1的各现场对象一一对应。如图3的工业模型300所示，虚拟对象301是“PreAssembly Station(预装配站)”，虚拟对象302是“Assembly Station(装配站)”，虚拟对象303是“Test Station(测试站)”，虚拟对象304是“Packing Station(打包站)”，虚拟对象305是“ShiftCalendar(排班调度器)”。工业模型300还包括其它对象“Source”、“Drain”和“EventController”，其中，对象“Source”可以视作产生零部件的机器或接受外界零部件的收货部门，对象“Drain”可以视作零部件的发货部门，对象“EventController”用于控制工业模型300的仿真的开始、停止、重置等。对象“Source”和“Drain”以及虚拟对象301-305可以模拟零部件从收货→预装配→装配→打包→发货的整个现场生产流程。
如前所述，在物理架构中，现场系统FS1可以具有与虚拟对象301-305 相对应的现场对象，例如，现场对象“PreAssembly StationF1”、“Assembly StationF1”、“Test StationF1”、“Packing StationF1”和“ShiftCalendarF1”。可以获取虚拟对象的变量集合(例如，经由方法100的步骤101)，其中，变量集合中的每个变量的值在现场对象的运行中可发生改变。以下在表1示出了示例性的与现场系统FS1相对应的工业模型300的虚拟对象的变量集合：
虚拟对象 变量 注释
PreAssembly Station Processing Time 站的处理时间
Assembly Station Processing Time 站的处理时间
Test Station Processing Time 站的处理时间
Packing Station Processing Time 站的处理时间
ShiftCalendar Shift DayShift/NightShift
表1：工业模型300的虚拟对象的变量集合
如表1所示，虚拟对象“PreAssembly Station”、“Assembly Station”、“Test Station”和“Packing Station”具有类似的变量“Processing Time”以表示零部件在站的处理时间，虚拟对象“ShiftCalendar”具有变量“Shift”以表示班次(例如，日班/夜班)。
图4示出了根据图3的示例工业模型300的虚拟对象301和305的变量的示例性配置图400。配置图400中左侧的页面示出了虚拟对象305的变量“Shift”的示例性配置，配置图400中右侧的页面示出了虚拟对象301的变量“Processing Time”的示例性配置。如图4所示，初始地，工业模型300的虚拟对象301和305的变量的值被配置为与现场系统FS1的相应现场对象的初始状况相一致，例如，变量“Shift”被配置为等于“DayShift”，变量“Processing Time”被配置为等于1min。
在图3的实施例中，可以基于表1的变量集合来定义物理镜像模板，物理镜像模板标识变量集合中被包括在物理镜像中的至少一个变量以及物理镜像的格式(例如，经由方法100的步骤102)。例如，物理镜像模板指定虚拟对象“PreAssembly Station”的变量“Processing Time”和虚拟对象“ShiftCalendar”的变量“Shift”要被包括在物理镜像中。
对于现场系统FS1，物理镜像模板的一个示例可以表示为如下：
//Physical Mirror Template for Field System FS1
Variables＝{“Processing Time”，“Shift”}
Variable1＝“Processing Time”；
Format＝“Variable1＝[FS1_PreAssemblyStation_ProcessingTime]，VariableProperties＝[VariableType＝指示，DataType＝时间，CollectedTime＝缺省，CollectedZone＝缺省]”；
Variable2＝“Shift”；
Format＝“Variable2＝[FS1_ShiftCalendar_Shift]，VariableProperties＝[VariableType＝指示，DataType＝时间，CollectedTime＝缺省，CollectedZone＝缺省]”.
对于现场系统FS1，物理镜像的一个示例可以表示为如下：
//Physical Mirror for Field System FS1
Variables＝{“Processing Time”，“Shift”}
Variable1 FS1_PreAssemblyStation_ProcessingTime＝2min；
Variable2 FS1_ShiftCalendar_Shift＝NightShift.
图5示出了根据本公开的另一个实施例的工厂中的现场系统FS2的物理架构501及其工业模型501’的示意图500。现场系统FS2的物理架构501包括位于多个工位的多个现场对象S1、S2、S3、S4和S5，其中，现场对象S1和S2位于区域Z1，现场对象S3和S4位于区域Z2。工业模型501’具有相应的位于多个工位的多个虚拟对象S1’、S2’、S3’、S4’和S5’，其中，SX(X＝1～5)与SX’一一对应，虚拟对象S1’和S2’位于区域Z1’，虚拟对象S3’和S4’位于区域Z2’。假设虚拟对象S4’和S5’具有零个变量，除了虚拟对象S4’和S5’之外的其余虚拟对象SX’具有对应的变量VX，并且变量VX的值在现场对象SX的运行中可以发生改变，则虚拟对象S1’-S3’的变量集合可以被获取为{V1，V2，V3}(例如，经由方法100的步骤101)。以下在表2示出了示例性的与现场系统FS2相对应的工业模型501’的虚拟对象的变量集合：
虚拟对象 变量 注释
S1’ V1 处理时间
S2’ V2 处理数量
S3’ V3 良品数量
表2：工业模型501’的虚拟对象的变量集合
初始地，工业模型401’的虚拟对象S1’-S3’的这些变量V1-V3具有初始的配置值，这些配置值与现场对象S1-S3的初始状况相一致。例如，初始地，V1被配置为3min(例如，处理需要3分钟)，V3被配置为2个(例如，每分钟产出良品2个)。随着现场对象S1-S3的运行，这些变量V1-V3的实际值可能不同于初始的配置值。
在图5的实施例中，可以基于表2的变量集合来定义物理镜像模板，物理镜像模板表示变量集合中被包括在物理镜像中的至少一个变量以及物理镜像的格式(例如，经由方法100的步骤102)。例如，物理镜像模板指定变量V1和V3要被包括在物理镜像中。
对于现场系统FS2，物理镜像模板的一个示例可以表示为如下：
//Physical Mirror Template for Field System FS2
Variables＝{“V1”，“V3”}
Variable1＝“V1”；
Format＝“Variable1＝[FS2_S1’_V1]，VariableProperties＝[VariableType＝指示，DataType＝时间，CollectedTime＝缺省，CollectedZone＝Z1]”
Variable2＝“V3”；
Format＝“Variable2＝[FS2_S3’_V3]，VariableProperties＝[VariableType＝指示，DataType＝数值，CollectedTime＝缺省，CollectedZone＝Z2]”.
接着，在现场对象S1和S3的运行中，可以获取与变量相关联的运行状态信息(例如，经由方法100的步骤103)，例如从与现场系统FS2或现场对象S1/S3的标识相对应的数据源获得现场对象S1/S3的运行状态信息。数据源可以是现场系统中用于监测现场对象的运行状态信息的传感设备，或者是存储现场系统中现场对象的相关数据(例如，运行状态信息)的数据库等。例如，现场对象S5是现场系统FS2中用于监测各现场对象的运行状态信息的传感设备，S5可以每隔预定时间间隔收集各现场对象的运行状态信息并将运行状态信息存储在存储器中或数据库中。例如，现场对象S5可以集成在所监测的现场对象中或与所监测的现场对象分开。例如，可以建立现场系统标识、数据源类型、数据源标识、现场对象标识、操作状态、数据、时间戳等若干字段，来作为统一的结构存储数据源的数据。例如，运行状态信息可以包括操作状态、数据和时间戳，以及其它所需的数据。下面的表3中示 出了示例的数据库的一部分：
Figure PCTCN2019076472-appb-000001
表3：数据库示例
表3仅示出了示例数据库的一部分。在表3中，可以根据现场系统标识、数据源标识和现场对象标识中的一个或多个来获取现场对象的运行状态信息。例如，可以以1s(秒)为单位去采集关于现场对象S1的数据，根据现场对象S1的运行状态信息获知其从“开始处理”→“处理中”→“处理完成”实际经历的时间为2min。例如，可以以1min为单位去采集关于现场对象S2的数据，根据现场对象S2的运行状态信息获知其良品数在不同时间段存在差异。
在示例的数据库中，除了传感器之外，“数据源类型”的字段中还可以包括其它类型的传感设备，或者可以包括产生数据的其它设备。
如上所述，可以对运行状态信息进行解析以确定变量的当前值，根据物理镜像模板，对变量的当前值进行格式化，将变量和经格式化的变量的当前值包括在物理镜像中。可以基于从数据源获得的运行状态信息和物理镜像模板来创建物理镜像(例如，经由方法100的步骤104)。
在一个示例中，对于现场系统FS2，物理镜像可以表示为如下：
//Physical Mirror for Field System FS2
Variables＝{“V1”，“V3”}
Variable1 FS2_S1’_V1＝2min；
Variable2 FS2_S3’_V3＝2.
在另一个示例中，如图5所示，现场对象S1-S4可以被划分到不同的空间区域，可以分别获取现场对象S1在空间区域Z1上的运行状态信息和获取现场对象S2在空间区域Z2上的运行状态信息。可以基于现场对象S1在空间区域Z1上的运行状态信息和现场对象S2在空间区域Z2上的运行状态信息，创建两个物理镜像。在另一个示例中，对于现场系统FS2，两个物理镜像可以表示为如下：
//Physical Mirror1 for Field System FS2 of Zone Z1
Variables＝{“V1”}
Variable1 FS2_S1’_V1＝2min.
//Physical Mirror2 for Field System FS2 of Zone Z2
Variables＝{“V3”}
Variable2 FS2_S3’_V3＝2.
由此，可以从所创建的一个或多个物理镜像中选择至少一个物理镜像作为目标物理镜像，利用感兴趣的特定空间区域的目标物理镜像来更新工业模型501’的数据，以便对该特定空间区域的现场过程进行分析和优化。
类似地，可以根据如从表3获取的在一个或多个时间段上的运行状态信息和物理镜像模板来创建一个或多个物理镜像。在另一个示例中，对于现场系统FS2，两个物理镜像可以表示为如下：
//Physical Mirror1 for Field System FS2 at Time1
Variables＝{“V1”，“V3”}
Variable1 FS2_S1’_V1＝2min；
Variable2 FS2_S3’_V3＝2.
//Physical Mirror2 for Field System FS2 at Time2
Variables＝{“V1”，“V3”}
Variable1 FS2_S1’_V1＝2.2min；
Variable2 FS2_S3’_V3＝1.
由此，可以从所创建的一个或多个物理镜像中选择至少一个物理镜像作为目标物理镜像，利用感兴趣的特定时间段的目标物理镜像来更新工业模型501’的数据，以便对该特定时间段上的现场过程进行分析和优化。
此外，在一些实施例中，可以将现场系统FS2的物理架构501划分为多个子系统(例如，如上述按照空间区域划分，或者按照其他方式进行划分)，该多个子系统中的每个子系统包括至少一个现场对象。相应地，工业模型501’被划分为多个部分，每个部分包括至少一个虚拟对象。对工业模型501’的每个部分和物理架构501的相应子系统应用方法100可以实现工业模型501’该部分的更新。例如，当物理架构501包括大量的现场对象以及因此工业模型501’包括大量的虚拟对象时，通过上述划分来进行工业模型的更新可以降低数据收集和处理的复杂度，譬如，工业模型中的一些部分的数据可以无需更新。
在图5的实施例中，更新工业模型501’的数据可以包括使用物理镜像中包括的经格式化的变量的当前值来更新工业模型401’中虚拟对象的变量的先前值。
应当理解，虽然图3和图5的实施例仅示出了一个现场系统，但是出于示例目的而非限制，这些实施例可以适用于多于一个现场系统的情形。
图6示出了根据本公开的一个实施例的更新现场系统的工业模型的装置600。参照图6，装置600包括变量获取单元601、定义单元602、信息获取单元603、创建单元604和更新单元605。变量获取单元601可以被配置为从与工业模型相关联的参数集合中获取工业模型中的虚拟对象的变量集合，虚拟对象与现场系统中的现场对象相对应，该变量集合中的每个变量的值在现场对象的运行中可发生改变。定义单元602可以被配置为基于变量集合来定义物理镜像模板，该物理镜像模板表示变量集合中被包括在至少一个物理镜像中的至少一个变量以及该至少一个物理镜像的格式。信息获取单元603可以被配置为从与现场系统相关联的数据源获取现场对象的运行状态信息，该运行状态信息与变量集合相关联。创建单元604可以被配置为基于运行状态信息和物理镜像模板来创建至少一个物理镜像。更新单元605可以被配置为利用该至少一个物理镜像来更新工业模型的数据。图6中的各单元可以利用软件、硬件(例如集成电路、可编程逻辑器件等)或者软硬件结合的方式来实现。
在一些实施例中，变量获取单元601可以进一步被配置为：根据虚拟对象的对象属性，从参数集合中选择变量集合。
在一些实施例中，信息获取单元603可以进一步被配置为：从与现场系统或现场对象的标识相对应的数据源获得该现场对象的运行状态信息。
在一些实施例中，创建单元604可以进一步被配置为：对运行状态信息进行解析以确定至少一个变量的当前值；根据物理镜像模板，对该至少一个变量的当前值进行格式化；将该至少一个变量和经格式化的该至少一个变量的当前值包括在该至少一个物理镜像中。
在一些实施例中，更新单元605可以进一步被配置为：使用该至少一个物理镜像中包括的经格式化的该至少一个变量的当前值来虚拟对象的该至少一个变量的先前值。
图7示出了根据本公开的一个实施例的更新现场系统的工业模型的计算设备700的框图。从图7中可以看出，一种更新现场系统的工业模型的计算设备700包括处理器701和与处理器701耦接的存储器702。存储器702用于存储计算机可执行指令，当计算机可执行指令被执行时使得处理器701执行以上实施例中的方法。
此外，替代地，上述方法能够通过计算机可读存储介质来实现。计算机可读存储介质上载有用于执行本公开的各个实施例的计算机可读程序指令。计算机可读存储介质可以是可以保持和存储由指令执行设备使用的指令的有形设备。计算机可读存储介质例如可以是但不限于电存储设备、磁存储设备、光存储设备、电磁存储设备、半导体存储设备或者上述的任意合适的组合。计算机可读存储介质的更具体的例子(非穷举的列表)包括：便携式计算机盘、硬盘、随机存取存储器(RAM)、只读存储器(ROM)、可擦式可编程只读存储器(EPROM或闪存)、静态随机存取存储器(SRAM)、便携式压缩盘只读存储器(CD-ROM)、数字多功能盘(DVD)、记忆棒、软盘、机械编码设备、例如其上存储有指令的打孔卡或凹槽内凸起结构、以及上述的任意合适的组合。这里所使用的计算机可读存储介质不被解释为瞬时信号本身，诸如无线电波或者其他自由传播的电磁波、通过波导或其他传输媒介传播的电磁波(例如，通过光纤电缆的光脉冲)、或者通过电线传输的电信号。
因此，在另一个实施例中，本公开提出了一种计算机可读存储介质，该计算机可读存储介质具有存储在其上的计算机可执行指令，计算机可执行指 令用于执行本公开的各个实施例中的方法。
在另一个实施例中，本公开提出了一种计算机程序产品，该计算机程序产品被有形地存储在计算机可读存储介质上，并且包括计算机可执行指令，该计算机可执行指令在被执行时使至少一个处理器执行本公开的各个实施例中的方法。
一般而言，本公开的各个示例实施例可以在硬件或专用电路、软件、固件、逻辑，或其任何组合中实施。某些方面可以在硬件中实施，而其他方面可以在可以由控制器、微处理器或其他计算设备执行的固件或软件中实施。当本公开的实施例的各方面被图示或描述为框图、流程图或使用某些其他图形表示时，将理解此处描述的方框、装置、系统、技术或方法可以作为非限制性的示例在硬件、软件、固件、专用电路或逻辑、通用硬件或控制器或其他计算设备，或其某些组合中实施。
用于执行本公开的各个实施例的计算机可读程序指令或者计算机程序产品也能够存储在云端，在需要调用时，用户能够通过移动互联网、固网或者其他网络访问存储在云端上的用于执行本公开的一个实施例的计算机可读程序指令，从而实施依据本公开的各个实施例所公开的技术方案。
虽然已经参考若干具体实施例描述了本公开的实施例，但是应当理解，本公开的实施例并不限于所公开的具体实施例。本公开的实施例旨在涵盖在所附权利要求的精神和范围内所包括的各种修改和等同布置。权利要求的范围符合最宽泛的解释，从而包含所有这样的修改及等同结构和功能。

Claims (17)

  1. 更新工业模型的数据的方法，包括：
    从与工业模型相关联的参数集合中获取所述工业模型中的虚拟对象的变量集合，所述虚拟对象与现场系统中的现场对象相对应，所述变量集合中的每个变量的值在所述现场对象的运行中可发生改变；
    基于所述变量集合来定义物理镜像模板，所述物理镜像模板表示所述变量集合中被包括在至少一个物理镜像中的至少一个变量以及所述至少一个物理镜像的格式；
    从与所述现场系统相关联的数据源获取所述现场对象的运行状态信息，所述运行状态信息与所述变量集合相关联；
    基于所述运行状态信息和所述物理镜像模板来创建所述至少一个物理镜像；以及
    利用所述至少一个物理镜像来更新所述工业模型的数据。
  2. 根据权利要求1所述的方法，其中，从与工业模型相关联的参数集合中获取所述工业模型中的虚拟对象的变量集合包括：
    根据所述虚拟对象的对象属性，从所述参数集合中选择所述变量集合。
  3. 根据权利要求1所述的方法，其中，所述至少一个物理镜像的格式包括：所述至少一个变量的名称以及相应的变量属性，所述变量属性包括变量类型、数据类型、收集时间、收集区域中的至少一个。
  4. 根据权利要求1所述的方法，其中，从与所述现场系统相关联的数据源获取所述现场对象的运行状态信息包括：
    从与所述现场系统或所述现场对象的标识相对应的所述数据源获得所述现场对象的所述运行状态信息。
  5. 根据权利要求1所述的方法，其中，
    从与所述现场系统相关联的数据源获取所述现场对象的运行状态信息 包括：获取所述现场对象在至少一个时间段上的运行状态信息；并且
    基于所述运行状态信息和所述物理镜像模板来创建所述至少一个物理镜像包括：基于所述现场对象在所述至少一个时间段上的运行状态信息和所述物理镜像模板，创建所述至少一个物理镜像。
  6. 根据权利要求1所述的方法，其中，
    从与所述现场系统相关联的数据源获取所述现场对象的运行状态信息包括：获取所述现场对象在至少一个空间区域上的运行状态信息；并且
    基于所述运行状态信息和所述物理镜像模板来创建所述至少一个物理镜像包括：基于所述现场对象在所述至少一个空间区域上的运行状态信息和所述物理镜像模板，创建所述至少一个物理镜像。
  7. 根据权利要求5或6所述的方法，其中，利用所述至少一个物理镜像来更新所述工业模型的数据包括：
    从所创建的所述至少一个物理镜像中选择目标物理镜像；
    利用所述目标物理镜像来更新所述工业模型的数据。
  8. 根据权利要求1所述的方法，其中，基于所述运行状态信息和所述物理镜像模板来创建所述至少一个物理镜像包括：
    对所述运行状态信息进行解析以确定所述至少一个变量的当前值；
    根据所述物理镜像模板，对所述至少一个变量的当前值进行格式化；
    将所述至少一个变量和经格式化的所述至少一个变量的当前值包括在所述至少一个物理镜像中。
  9. 根据权利要求8所述的方法，其中，利用所述至少一个物理镜像来更新所述工业模型的数据包括：
    使用所述至少一个物理镜像中包括的经格式化的所述至少一个变量的当前值来更新所述虚拟对象的所述至少一个变量的先前值。
  10. 更新工业模型的数据的装置，包括：
    变量获取单元，其被配置为从与工业模型相关联的参数集合中获取所述工业模型中的虚拟对象的变量集合，所述虚拟对象与现场系统中的现场对象相对应，所述变量集合中的每个变量的值在所述现场对象的运行中可发生改变；
    定义单元，其被配置为基于所述变量集合来定义物理镜像模板，所述物理镜像模板表示所述变量集合中被包括在至少一个物理镜像中的至少一个变量以及所述至少一个物理镜像的格式；
    信息获取单元，其被配置为从与所述现场系统相关联的数据源获取所述现场对象的运行状态信息，所述运行状态信息与所述变量集合相关联；
    创建单元，其被配置为基于所述运行状态信息和所述物理镜像模板来创建所述至少一个物理镜像；以及
    更新单元，其被配置为利用所述至少一个物理镜像来更新所述工业模型的数据。
  11. 根据权利要求10所述的装置，其中，所述变量获取单元被进一步被配置为：
    根据所述虚拟对象的对象属性，从所述参数集合中选择所述变量集合。
  12. 根据权利要求10所述的装置，其中，所述信息获取单元被进一步配置为：
    从与所述现场系统或所述现场对象的标识相对应的所述数据源获得所述现场对象的所述运行状态信息。
  13. 根据权利要求10所述的装置，其中，所述创建单元被进一步被配置为：
    对所述运行状态信息进行解析以确定所述至少一个变量的当前值；
    根据所述物理镜像模板，对所述至少一个变量的当前值进行格式化；
    将所述至少一个变量和经格式化的所述至少一个变量的当前值包括在所述至少一个物理镜像中。
  14. 根据权利要求13所述的装置，其中，所述更新单元被进一步被配置为：
    使用所述至少一个物理镜像中包括的经格式化的所述至少一个变量的当前值来更新所述虚拟对象的所述至少一个变量的先前值。
  15. 计算设备，所述计算机备包括：
    处理器；以及
    存储器，其用于存储计算机可执行指令，当所述计算机可执行指令被执行时使得所述处理器执行根据权利要求1-9中任一项所述的方法。
  16. 计算机可读存储介质，所述计算机可读存储介质具有存储在其上的计算机可执行指令，所述计算机可执行指令用于执行根据权利要求1-9中任一项所述的方法。
  17. 计算机程序产品，所述计算机程序产品被有形地存储在计算机可读存储介质上，并且包括计算机可执行指令，所述计算机可执行指令在被执行时使至少一个处理器执行根据权利要求1-9中任一项所述的方法。
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