CN109961196A - For servicing the method and related device of numerically-controlled machine tool - Google Patents
For servicing the method and related device of numerically-controlled machine tool Download PDFInfo
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Abstract
The present invention provides a kind of at edge service center execute for servicing the method for numerical control device and for realizing the related device of this method.This method comprises: obtaining data relevant to numerical control device；Cloud service center is sent by acquired data；The data analysis result to acquired data is received from cloud service center；Analysis result executes specific intelligence application based on the data；And it is provided according to the execution applied to the specific intelligenceization to numerical control device and applies relevant service to the specific intelligenceization.The present invention also provides executed at a kind of service centre beyond the clouds for servicing the method for numerical control device and for realizing the related device of this method.
Description
Technical field
Present invention relates in general to intelligence manufacture fields, more particularly relate to the method and reality of service numerically-controlled machine tool
The related device of existing this method.
Background technique
Intelligence manufacture field has begun its high-speed developing period at present, with the emergence of various manufacture demands,
It is required that manufacturing equipment constantly upgrades update, to meet ever-increasing manufacture demand.
Numerically-controlled machine tool plays important role in intelligence manufacture field.Numerically-controlled machine tool is as a kind of efficient, automation
Lathe has become most basic manufacturing equipment in manufacturing industry.Typically, numerically-controlled machine tool includes machine body and numerical control system
System.Digital control system is the core of numerically-controlled machine tool, is control centre and the arithmetic center of entire numerically-controlled machine tool, in intelligent production
Leading role is played in manufacturing process.
Intelligence manufacture can such as analyze information data, be stored, pushed away based on information data collection technology
The Intelligent treatment of reason, judgement and decision etc., and intelligent control can be carried out to manufacturing process according to processing result, to realize height
Quality, high efficiency, high safety and supermatic production.The operation of the relevant intelligent Application of intelligence manufacture needs a large amount of
Software and hardware resources, collection its hardware and software platform of achievement need is carried out in manufacturing equipment and is constantly upgraded, and will lead to enterprise in this way
Production cost is continuously increased, and the stability of system is also affected with safety.
Accordingly, it is considered to be difficult according to demand infinitely dynamically to factors such as production cost, O&M cost and system stability
Digital control system is upgraded or is transformed, so as to cause the integrated limited of intelligent Application.In addition, the meter of digital control system itself
Required magnanimity basic data and analysis speed can not may be provided also for intelligent Application by calculating performance.
Summary of the invention
To solve the above-mentioned problems, the present invention provides one kind ties cloud computing and edge calculations in numerical control field
The service mechanism of conjunction utilizes edge calculations real again while realizing the efficient complex process for mass data using cloud computing
Show for real-time or sensitive data processing.
According to the first aspect of the invention, provide it is a kind of executed at edge service center for servicing numerical control device
Method.This method comprises: obtaining data relevant to numerical control device；Cloud service center is sent by acquired data；
The data analysis result to acquired data is received from cloud service center；Analysis result executes specific intelligence based on the data
Energyization application；And it is provided and the specific intelligence application according to the execution applied to the specific intelligenceization to numerical control device
Relevant service.In one embodiment, the data analysis result includes applying relevant lathe model to specific intelligenceization,
The lathe model is established based on acquired data.
In one embodiment, the data analysis result includes applying relevant lathe model according to specific intelligenceization
And the data information formed, the lathe model is established based on acquired data.
In one embodiment, obtaining data relevant to numerical control device includes: from numerical control device acquisition and numerical control device
Relevant data, using as acquired data.
In one embodiment, obtaining data relevant to numerical control device includes: from numerical control device acquisition and numerical control device
Relevant data；And data collected are pre-processed, using as acquired data.
According to the above technical scheme, edge service center is right before collected data are supplied to cloud service center
Data are pre-processed, this can be improved integrality and stability of the cloud service center in terms of data storage.In addition, very much
Data analysis task is completed in marginal end, can effectively reduce network flow, while mitigating the calculated load of cloud data center, is dropped
Dependence of the low user to cloud, even if network failure occurs in cloud, numerical control device also can obtain intelligent use service from marginal end.
In one embodiment, the numerical control device includes one or more manufacturing equipments and corresponding digital control system.
In one embodiment, data relevant to numerical control device include at least one of the following: digital control system and/or manufacture
The static information of equipment；The multidate information that digital control system generates during process or user setting；And it is mounted on system
Make the collected data of sensor on equipment.
In one embodiment, the specific intelligence application is real-time application or responsive type application.
Above-mentioned technical proposal according to the present invention, edge service center can receive in advance cloud service center for number
According to the analysis result (such as applying relevant lathe model to specific intelligenceization) of the relevant data of equipment, and in real time when needed
It is provided to numerical control device and applies relevant service to specific intelligenceization.This can make up cloud and answer in offer real-time or responsive type
With the defect of service aspect.
According to the second aspect of the invention, provide that a kind of place, service centre beyond the clouds executes is used to service numerical control device
Method.This method comprises: receiving data relevant to numerical control device from edge service center；The data received are divided
Analysis, to obtain data analysis result；And edge service center is sent by data analysis result, so that in edge service
The heart executes the specific intelligenceization application according to the data analysis result and provides and the specific intelligence to numerical control device
Using relevant service.
In one embodiment, to the data received carry out analysis include: according to the data that receive, establish with it is specific
The relevant lathe model of intelligent Application, using as the data analysis result.
In one embodiment, to the data received carry out analysis include: according to the data that receive, establish with it is specific
The relevant lathe model of intelligent Application；And the demand applied according to specific intelligenceization, number is formed according to the lathe model
It is believed that breath, using as the data analysis result.
In one embodiment, this method further include: storage receives related to numerical control device from edge service center
Data.
In one embodiment, the numerical control device includes one or more manufacturing equipments and corresponding digital control system.
In one embodiment, data relevant to numerical control device include at least one of the following: digital control system and/or manufacture
The static information of equipment；The multidate information that digital control system generates during process or user setting；And it is mounted on system
Make the collected data of sensor on equipment.
In one embodiment, the specific intelligence application is real-time application or responsive type application.
According to the third aspect of the invention we, the device at a kind of edge service center is provided, for servicing numerical control device.
The device includes: acquiring unit, is configured as obtaining data relevant to numerical control device；Transmission unit is configured as to be obtained
The data taken are sent to cloud service center；Receiving unit is configured as receiving from cloud service center to acquired data
Data analysis result；Application execution unit is configured as analyzing result execution specific intelligence application based on the data；With
And service rendering units, be configured as according to the specific intelligenceization application execution to numerical control device provide with it is described specific
The relevant service of intelligent Application.
In one embodiment, the data analysis result includes to specific intelligenceization using relevant lathe model, institute
Stating lathe model is established based on acquired data.
In one embodiment, the data analysis result includes applying relevant lathe model according to specific intelligenceization
And the data information formed, the lathe model is established based on acquired data.
In one embodiment, acquiring unit is configured as: data relevant to numerical control device are acquired from numerical control device, with
As acquired data.
In one embodiment, acquiring unit is configured as: acquiring data relevant to numerical control device from numerical control device；With
And data collected are pre-processed, using as acquired data.
In one embodiment, the numerical control device includes one or more manufacturing equipments and corresponding digital control system.
In one embodiment, data relevant to numerical control device include at least one of the following: digital control system and/or manufacture
The static information of equipment；The multidate information that digital control system generates during process or user setting；And it is mounted on system
Make the collected data of sensor on equipment.
In one embodiment, the specific intelligence application is real-time application or responsive type application.
According to the fourth aspect of the invention, the device at a kind of cloud service center is provided, for servicing numerical control device.
The device includes: receiving unit, is configured as receiving data relevant to numerical control device from edge service center；Analytical unit,
It is configured as analyzing the data received, to obtain data analysis result；And transmission unit, it is configured as data
Analysis result is sent to edge service center, so that edge service center executes the spy according to the data analysis result
Determine intelligent Application and provides to the specific intelligenceization to numerical control device using relevant service.
In one embodiment, the analytical unit is also configured to according to the data received, foundation and specific intelligence
Change and apply relevant lathe model, using as the data analysis result.
In one embodiment, the analytical unit is also configured to according to the data received, foundation and specific intelligence
Change and applies relevant lathe model；And the demand applied according to specific intelligenceization, data letter is formed according to the lathe model
Breath, using as the data analysis result.
In one embodiment, device further include: storage unit is configured as storage and receives from edge service center
Data relevant to numerical control device.
In one embodiment, the numerical control device includes one or more manufacturing equipments and corresponding digital control system.
In one embodiment, data relevant to numerical control device include at least one of the following: digital control system and/or manufacture
The static information of equipment；The multidate information that digital control system generates during process or user setting；And it is mounted on system
Make the collected data of sensor on equipment.
In one embodiment, the specific intelligence application is real-time application or responsive type application.
According to the fifth aspect of the invention, a kind of edge service center is provided, for servicing numerical control device.Edge clothes
Business center includes: communication interface；At least one processor；And memory, described at least one described processing of memory storage
The executable instruction of device, described instruction make the edge service center execute root when being executed by least one described processor
According to method described in the first aspect of the present invention.
According to the sixth aspect of the invention, a kind of cloud service center is provided, for servicing numerical control device.Cloud clothes
Business center includes: communication interface；At least one processor；And memory, described at least one described processing of memory storage
The executable instruction of device, described instruction make the cloud service center execute root when being executed by least one described processor
According to method described in the second aspect of the present invention.
According to the seventh aspect of the invention, a kind of edge service center is provided.The edge service center include: one or
Multiple edge calculations nodes, wherein each edge calculations node can be carried out with cloud service center and data analysis function
Related interaction executes specific intelligence application according to the data analysis result of cloud service center feedback, and sets to data
Standby provide applies relevant service to specific intelligenceization.
In one embodiment, at least one edge calculations node can in one or more of edge calculations nodes
Data related with numerical control device are acquired from numerical control device.
In one embodiment, have in one or more of edge calculations nodes and only one edge calculations node energy
Data related with numerical control device are enough uploaded into cloud service center.
In one embodiment, one or more of edge calculations nodes include: one or more level-one edge calculations
Node, for acquiring related with numerical control device data from numerical control device, and by collected data and/adopting through specific data
The data collected are sent to cloud service center.
In one embodiment, one or more of edge calculations nodes further include: one or more second level edges meter
Operator node.Each second level edge calculations node is by a level-one edge meter in one or more of level-one edge calculations nodes
Operator node distributes data.
In one embodiment, each edge calculations monitoring nodes in one or more of level-one edge calculations nodes
Corresponding second level edge calculations node and its data analysis function operating status.
In one embodiment, each of one or more of second level edge calculations nodes second level edge calculations section
Point sends registration information to corresponding level-one edge calculations node, and the registration information includes at least one of the following: the second level
The device identification of edge calculations node；The data analysis function of the second level edge calculations node identifies；Second level edge meter
The data type demand of operator node；And the data transfer cycle of the second level edge calculations node.
In one embodiment, each level-one edge calculations node in one or more of level-one edge calculations nodes
Corresponding each second level edge calculations node is associated with its registration information, to form data distribution information table.
In one embodiment, each level-one edge calculations node in one or more of level-one edge calculations nodes
Collected data distribution is given to corresponding second level edge calculations node according to the data distribution information table.
In one embodiment, each level-one edge calculations node in one or more of level-one edge calculations nodes
According to the data of the intelligent Application in itself and corresponding second level edge calculations node need to be arranged optimal data acquisition and
Distribution policy.
In one embodiment, each level-one edge calculations node in one or more of level-one edge calculations nodes
Corresponding data distribution information table is updated according to the operating status at the edge service center.
In one embodiment, one or more of edge calculations nodes further include: edge calculations management node is used for
A level-one edge calculations node in one or more of level-one edge calculations nodes is set to acquire and count from numerical control device
It controls the relevant data of equipment and sends collected data and the/collected number through particular procedure to cloud service center
According to.
In one embodiment, the edge calculations management node is also used to: monitoring one or more of level-one edges
Each of calculate node level-one edge calculations node and its data analysis function operating status.
In one embodiment, the edge calculations management node is also used to: monitoring one or more of level-one edges
The load condition of each level-one edge calculations node in calculate node；And if detect one or more of level-one sides
There are data point of the data distribution amount of a level-one edge calculations node than other level-one edge calculations nodes in edge calculate node
Hair amount is higher by predetermined threshold, then transfers the partial data dispensed amount of the level-one edge calculations node to other level-one edge calculations
Node.
In one embodiment, the edge calculations management node is also used to: judging each according to data distribution information table
The data distribution amount of parameter；And optimal data distribution amount transfer plan is provided according to the data distribution amount of each parameter.
In one embodiment, the edge calculations management node is also used to: setting redundancy Hedging mechanism, to avoid at least
Two level-one edge calculations nodes distribute identical data to the same second level edge calculations node simultaneously.
In one embodiment, the edge calculations management node is also used to: strategy is quickly transferred in setting, so that each
Level-one edge calculations node completes the transfer of data distribution amount within the tentation data distribution period.
In one embodiment, the edge calculations management node is also used to: monitoring each second level edge calculations section in real time
Whether the intelligent Application in point normally gets data；And it if monitors in the data acquisition appearance of intelligent Application
It is disconnected, then notify corresponding second level edge calculations node not provide and the intelligence to numerical control device during the interruption of data acquisition
Change and apply relevant service, until reinforming corresponding second level edge calculations node after data acquisition restores normal and restoring normal
Service state.
In one embodiment, the edge service center further includes data acquisition module, for acquiring from numerical control device
Data related with numerical control device, and send collected data in one or more of level-one edge calculations nodes
At least one level-one edge calculations node.
According to the eighth aspect of the invention, a kind of numerical control device control system, including numerical control device are provided；According to this hair
Edge service center described in the bright third aspect or the 7th aspect；And the cloud clothes described according to the fourth aspect of the invention
Business center.
According to the ninth aspect of the invention, a kind of computer storage medium is provided, computer executable instructions are stored with,
The computer executable instructions by least one processor at edge service center when being executed, so that in the edge service
The heart executes the method described according to the first aspect of the invention.
According to the tenth aspect of the invention, a kind of computer storage medium is provided, computer executable instructions are stored with,
The computer executable instructions by least one processor at cloud service center when being executed, so that in the cloud service
The heart executes the method described according to the second aspect of the invention.
Above-mentioned technical proposal according to the present invention, what the present invention was combined using cloud service center with edge service center
Mode provides service for numerical control device, the magnanimity industrial data processing that remains conventional cloud numerical procedure and it is complicated efficiently
While the ability of calculating, and real-time or responsive type application service can be provided using edge calculations.In addition, according to the present invention
Edge service center can complete many data analysis tasks, to effectively reduce the number for needing to upload to cloud service center
According to amount (correspondingly reducing network flow), while it can reduce the calculated load at cloud service center again.This is largely dropped
Low dependence of the user to cloud service center, even if network failure occurs in cloud service center, numerical control device also can be from side
Edge service centre obtains intelligent use service.
Detailed description of the invention
By illustrating the preferred embodiment of the present invention with reference to the accompanying drawing, above and other target of the invention, spy will be made
Advantage of seeking peace is clearer, in which:
Fig. 1 shows the schematic diagram of the application scenarios of numerical control device control system 100 according to an embodiment of the present invention.
Fig. 2 shows the timing diagrams of the exemplary operations 200 of numerical control device control system 100 according to an embodiment of the present invention.
Fig. 3 shows the side according to an embodiment of the present invention that be used to service numerical control device executed at edge service center
The schematic flow chart of method 300.
Fig. 4 shows an example implementation of step S310 according to an embodiment of the present invention.
Fig. 5 shows another example implementation of step S310 according to an embodiment of the present invention.
Fig. 6 shows the side for being used to service numerical control device executed at service centre beyond the clouds according to an embodiment of the present invention
The schematic flow chart of method 600.
Fig. 7 shows an example implementation of step S620 according to an embodiment of the present invention.
Fig. 8 is to show the structural block diagram of the device 800 at edge service center according to an embodiment of the present invention.
Fig. 9 is to show the structural block diagram of the device 900 at cloud service center according to an embodiment of the present invention.
Figure 10 shows the signal of an exemplary construction of numerical control device control system 100 according to an embodiment of the present invention
Figure.
Figure 11 shows the signal of another exemplary construction of numerical control device control system 100 according to an embodiment of the present invention
Figure.
Figure 12 shows the signal of another exemplary construction of numerical control device control system 100 according to an embodiment of the present invention
Figure.
Figure 13 is the device for being used to service numerical control device shown at edge service center according to an embodiment of the present invention
1300 structural block diagram.
Figure 14 is the device for being used to service numerical control device shown at cloud service center according to an embodiment of the present invention
1400 structural block diagram.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, and for explaining only the invention, and is not construed as limiting the claims.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one
It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention
Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition
Other one or more features, integer, step, operation, element, component and/or their group.It should be understood that when we claim member
When part is "connected" to another element, it can be directly connected to other elements, or there may also be intermediary elements.In addition,
" connection " used herein may include being wirelessly connected.Wording "and/or" used herein includes one or more associated
The whole for listing item or any cell and all combination.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art
Language and scientific term), there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also
Understand, those terms such as defined in the general dictionary, it should be understood that have in the context of the prior art
The consistent meaning of meaning, and unless idealization or meaning too formal otherwise will not be used by specific definitions as here
To explain.
The invention proposes a kind of to provide the service that cloud computing and edge calculations are combined to mechanism in numerical control field.
The service is provided mechanism and can either be realized using edge calculations for real-time and/or sensitive data processing, to meet number
The demand of real-time computing capability and intelligent Service needed for control system, and can be realized using cloud computing for mass data
Efficient complex process.In addition, the service provides the data analysis times that mechanism can also complete small calculation amount using edge calculations
Business, to effectively mitigate the data interaction between the load and cloud computing and edge calculations of cloud computing.Below in order to become apparent from
The present invention is explained on ground, and the relevant equipment of edge calculations is referred to as edge service center, the relevant equipment of cloud computing is referred to as
Cloud service center.
Fig. 1 shows the schematic diagram of the application scenarios of numerical control device control system 100 according to an embodiment of the present invention.Such as figure
Shown in 1, which includes numerical control device 110, edge service center 120 and cloud service center 130.
Numerical control device 110 is to provide the terminal device of basic information data.Numerical control device 110 can be as shown in Figure 1
Any manufacturing equipment such as general NC lathe, robot, machining center and its corresponding digital control system are (including but not limited to
FANUC, SIEMENSE, HNC etc.).For example, the basic information data that numerical control device 110 provides can include but is not limited to: numerical control
The static information (such as IP address, SN code, system version number etc.) of system and/or manufacturing equipment；Digital control system is in process
Or the multidate information (such as register value, warning message, tool-information etc.) generated during user setting；From being mounted on number
Control the collected data of sensor (such as the data such as vibration, electric current, voltage) in equipment 110；Or other types of data.
Edge service center 120 may include one or more edge calculations equipment.Edge calculations equipment can be (including
But be not limited to) common computer, server or specific computing device etc., can by (including but not limited to) following manner it
One connect with numerical control device 110: fieldbus, Wireless/wired network, bluetooth, radio frequency, USB etc., and can by (including
But it is not limited to) one of following manner connect with cloud service center 130: wire/radio network, bluetooth, radio frequency etc..
Edge service center 120 can acquire basic information data from numerical control device 110.For ease of description, this hair
It is bright that collected basic information data is divided into two parts according to purposes: (1) to upload to cloud service center 130 and deposit
It stores up to form the data (referred to as " cloud storing data ") of memory resource pool, may include that digital control system and/or manufacture prepare
Static information (being referred to as " static data ") and taken at regular intervals sampled data (for example, every several milliseconds acquire data,
It may include electric current, voltage, shaft position etc.)；And (2) according to the data requirements of intelligent Application and from numerical control device 110
The data (referred to as applying data) of acquisition, may include simple current information and/or axis information etc..For example, intelligence here
Energyization application may include: high real-time and/or sensibility application (such as breaking detection, cutter track real-time optimization)；And/or subtotal
Non real-time/semireal time of calculation amount applies (such as lathe health status monitoring).Storage resource is formed by by cloud storing data
Pond can be used for data mining, Machining modeling etc..
Edge service center 120 can provide and intelligence according to the analysis and processing result of application data for numerical control device 110
Change and applies relevant service (also referred to as intelligent Application).
The intermediate result that edge service center 120 can also analyze application data and/or application data is (to using number
Also it is classified as according to the intermediate result of analysis using data) it is sent to cloud service center 130, to request cloud service center 130
Assist the execution of intelligent Application.
For the sampled data in the storing data of cloud, edge service center 120 can first pre-process it (can be with
Including but not limited to: data redundancy processing, data desensitization, data integrity verifying), the new cloud that then will be obtained after pretreatment
End storing data is uploaded to cloud service center 130 (for example, the memory resource pool at cloud service center 130).Alternatively, edge
Service centre 120 can not also pre-process the sampled data in the storing data of cloud, but by collected original number
According to being uploaded directly into cloud service center 130.User can voluntarily choose whether to open edge service center 120 to the pre- place of data
Manage function.
Correspondingly, cloud service center 130 can carry out the cloud storing data uploaded by edge service center 120
Storage can also be that edge service center 120 provides data analysis according to the application data uploaded by edge service center 120
Assistance services.
Certainly, although being not shown in Fig. 1, it will be understood by those skilled in the art that cloud service center 130 here can also be with
Realize traditional cloud computing scheme, that is, the data of numerical control equipment 110 can be acquired by the network of such as internet etc,
Collected data are analyzed and processed, and the result of analysis processing is passed through into network-feedback to numerical control device 110 or root
Related service (the including but not limited to relevant service of intelligent Application) is provided to numerical control device 110 according to the result of analysis processing.
Fig. 2 shows the timing diagrams of the exemplary operations 200 of numerical control device control system 100 according to an embodiment of the present invention.
In the following, by exemplary operations 200 are described under the scene for providing special services to numerical control device 110 from edge service center 120.So
And, it should be appreciated that the invention is not limited to such scenes.
As shown in Fig. 2, edge service center 120 and numerical control device 110 carry out the interaction in relation to data in process 210.Tool
Body, edge service center 120 can send data harvesting request to numerical control device 110, with acquire cloud storing data and/or
Using data.Numerical control device 110 sends corresponding data to edge service center 120 in response to the request that receives.
In process 220, edge service center 120 and cloud service center 130 carry out data interaction.Here data interaction
Upload including application data interaction and cloud storing data.On the one hand, edge service center 120 can be by cloud storing data
Cloud service center 130 is uploaded to be stored.On the other hand, a certain item intelligent Application in edge service center 120
Execution when cloud being needed to assist (when such as calculating more complex), edge service center 120 can be sent to cloud service center 130
Request is assisted in data analysis, and will for example original application data are (i.e. not after the enabling signal for receiving cloud service center 130
It is analyzed and processed apply data), and/or application data analysis intermediate result, and/or data analysis require etc. be sent to
Cloud service center 130.Cloud service center 130 can return result to edge after carrying out further data analysis
Service centre 120.Although being not shown in Fig. 2, although it is understood that cloud service center 130 can also be according to further data point
It analyses result and directly provides intelligent Service to numerical control device 110.
In process 230, edge service center 120 and numerical control device 110 carry out the interaction in relation to servicing.For example, numerical control is set
Standby 110 for the request with specific intelligenceization using related service, and edge service center 120 can be according to through 210 He of process
220 treated data execute specific intelligence application, and thus provide to numerical control device 110 and to have with specific intelligence application
The service of pass.
In exemplary operations 200, process 210-220 is considered the preparation stage, is periodically executed as needed, process
230 are considered and trigger on demand, that is, execute when numerical control device 110 generates the demand for specific intelligenceization application.
In this way, exemplary operations 200 can either make full use of cloud service center for the computing capability of mass data, while again can be by
Edge service center provides real time service to numerical control device.
Fig. 3 shows the side according to an embodiment of the present invention that be used to service numerical control device executed at edge service center
The schematic flow chart of method 300.For example, method 300 can be applied at edge service center 120 shown in Fig. 1, for taking
It is engaged in numerical control device 110 shown in FIG. 1, is described below as example, although it is understood that the invention is not limited thereto.
As shown in figure 3, method 300 may include step S310-S350.
In step S310, edge service center 120 obtains data relevant to numerical control device 110.In one example, with
The relevant data of numerical control device 110 may include using data, such as original application data, to the analysis of original application data after
Intermediate result data etc..In another example, data relevant to numerical control device 110 may include cloud storing data, example
Static data such as without pre-processing or by pretreated sampled data, numerically-controlled machine tool and/or manufacturing equipment.Certainly,
Data relevant to numerical control device 110 can also not only include using data but also include cloud storing data.For example, and numerical control device
110 relevant data can be from the static information of digital control system and/or manufacturing equipment, digital control system in process or use
The multidate information generated in the setting up procedure of family, and/or the collected data of sensor being mounted in manufacturing equipment etc..
Fig. 4 shows an example implementation of step S310 according to an embodiment of the present invention.
As shown in figure 4, edge service center 120 acquires relevant to numerical control device from numerical control device 110 in step S311
Data, using as acquired data.For example, edge service center 120 can acquire sampled data from numerical control device 110, and
And sampled data is directly uploaded into cloud service center 130 not preprocessed.
Fig. 5 shows another example implementation of step S310 according to an embodiment of the present invention.
As described in Figure 5, in step S312, edge service center 120 acquires and 110 phase of numerical control device from numerical control device 110
The data of pass.
In step S313, edge service center 120 pre-processes data collected, using as acquired number
According to.
For example, edge service center 120 can acquire sampled data from numerical control device 110, sampled data is located in advance
Reason, then pretreated sampled data is supplied to cloud service center 130.In this illustration, edge service center 120 exists
Data are pre-processed before sampled data is supplied to cloud service center 130.That is, edge service center 120
The data processing task that a part can be undertaken, to mitigate the calculated load at cloud service center 120.
Fig. 3 is returned to, in step S320, acquired data are sent cloud service center by edge service center 120
130.For example, edge service center 120 can be by modes such as wire/radio network, bluetooth, radio frequencies by acquired data
It is sent to cloud service center 130.
In step S330, edge service center 120 receives the data point to acquired data from cloud service center 130
Analyse result.
In step S340, edge service center 120 is based on data analysis result and executes specific intelligence application.
In step S350, edge service center 120 according to the execution that specific intelligenceization is applied to numerical control device provide with
The specific intelligenceization applies relevant service.The specific intelligence application can be such as breaking detection, cutter track real-time optimization it
The real-time of class is applied or responsive type application, is also possible to such as G code optimization, machining process monitoring etc non real-time or half
Application in real time.
For example, the data analysis result may include to specific intelligenceization using relevant lathe model, and the lathe mould
Type can be what cloud service center 130 was established based on acquired data.For example, cloud service center 130 can be using such as
The technologies such as convolutional neural networks carry out deep learning to the data in the memory resource pool of cloud, to be formed and specific intelligence application
Relevant lathe model.Certainly, which is also possible to cloud service center 130 using the foundation of other machines mode of learning
's.Edge service center 120 can download the lathe model in advance from cloud service center 130, and need to be implemented specific intelligence
Energyization apply when apply the lathe model, can also need to be implemented specific intelligenceization application when downloading machine bed model.
Alternatively, which may include to specific intelligenceization using relevant according to the lathe model shape
At data information.That is, the demand that cloud service center 130 can be applied according to specific intelligenceization, according to the lathe
Model calculates the data information of such as Optimal Parameters, implementation strategy etc, and using the data information as data analysis result
It is supplied to edge device, so that edge device executes specific intelligence application according to the data information.
In addition, the data analysis result also may include other analysis results of application data.For example, in cloud service
The heart 130 can be analyzed and processed according to the needs that specific intelligenceization is applied to from the received data in edge service center 120.
Alternatively, edge service center 120 can also download the lathe model from cloud service center 130, and execute
The operations such as parameter exchange are rapidly carried out using the lathe model when specific intelligenceization is applied.This makes edge service center
120 still can normally execute intelligent Application when being detached from cloud service center 130.
Fig. 6 shows the side for being used to service numerical control device executed at service centre beyond the clouds according to an embodiment of the present invention
The schematic flow chart of method 600.For example, method 600 can be applied at cloud service center 130 shown in Fig. 1, for taking
It is engaged in numerical control device 110 shown in FIG. 1, is described below as example, although it is understood that the invention is not limited thereto.
As shown in fig. 6, method 600 may include step S610-S640, wherein step S640 is optional.
In step S610, cloud service center 130 receives number relevant to numerical control device 110 from edge service center 120
According to.For example, the data may include cloud storing data and/or using data.
In step S620, the data received are analyzed at cloud service center 130, to obtain data analysis result.
For example, cloud service center 130 can with application data and/or according in the memory resource pool of cloud data assist marginal layer into
Row data analysis, to obtain data analysis result.
Fig. 7 shows an example implementation of step S620 according to an embodiment of the present invention.
As shown in fig. 7, cloud service center 130 is established and specific intelligence according to the data received in step S621
Using relevant lathe model, using as data analysis result.For example, cloud service center 130 can pass through machine learning etc.
Mode establishes the lathe model.As shown in fig. 7, cloud service center 130 is established according to the data received in step S621
Relevant lathe model is applied to specific intelligenceization, using as data analysis result.For example, being directed to specific intelligence application, cloud
Hold service centre 130 such as convolutional neural networks technology can be used in the memory resource pool of cloud according to the data received
Data carry out deep learning, apply relevant lathe model to specific intelligenceization to be formed.Alternatively, cloud service center 130
Such as Optimal Parameters, implementation strategy etc can also be calculated according to the demand that specific intelligenceization is applied according to the lathe model
Data information, using as data analysis result.
In step S630, data analysis result is sent edge service center 120 by cloud service center 130, to make
Edge service center 120 is obtained to execute specific intelligenceization application according to the data analysis result and provide and the spy to numerical control device
Determine the relevant service of intelligent Application.For example, edge service center 120 can request cloud according to the demand of intelligent Application
Service centre 130 carries out Machining modeling, and cloud service center 130 can believe according to the numerical control device in the memory resource pool of cloud
The data such as breath establish lathe model corresponding with the intelligent Application.Cloud service center 130 can according to the lathe model and
The demand of intelligent Application, the data information for forming such as Optimal Parameters, implementation strategy etc are provided as data analysis result
To edge service center 120.Alternatively, which can also directly be analyzed as data and be tied by cloud service center 130
Fruit is supplied to edge service center 120, to realize the offline application of the lathe model.
In step S640, the storage of cloud service center 130 receives related to numerical control device from edge service center 120
Data, such as cloud storing data.This helps to form magnanimity industrial data storage pool beyond the clouds, and can be used for realizing work
The intelligent excavating of sparetime university's data and application.Although Fig. 6 in order to illustrate it is convenient and after step S640 is depicted in step S630, so
And the present invention is not limited thereto.Any point-in-time after step S610 can occur for step S640, be specifically dependent upon and be
System setting.
Using method 300 and 600, the present invention can be built at service centre according to data relevant to numerical control device beyond the clouds
It is vertical to apply relevant lathe model to specific intelligenceization, and can be formed according to the lathe model and be directed to specific intelligence application
The data information of such as Optimal Parameters, implementation strategy etc of demand, then the data information is supplied to by cloud service center
Edge service center, edge service center specifically execute specific intelligenceization according to the data information and apply to provide to numerical control device
More excellent, more efficient, more accurate service.The lathe model can also be directly downloaded to corresponding edge and set by edge service center
It is standby, such as fast parameter exchange behaviour can be also carried out according to the lathe model in this way under the poor application scenarios of network state
Make.For example, edge service center relies solely on pre- in the case where network failure etc. cannot connect to cloud service center
The lathe model first downloaded also is able to carry out intelligent Application.
Fig. 8 is to show the structural block diagram of the device 800 at edge service center according to an embodiment of the present invention, device
800 for servicing numerical control device, such as numerical control device shown in FIG. 1 110.For example, the edge service center can be shown in Fig. 1
Edge service center 120, that is to say, that device 800 may be implemented on the edge service center 120 of Fig. 1.In addition, device
800 can also execute method 300.As shown in figure 8, device 800 includes acquiring unit 810, transmission unit 820, receiving unit
830, application execution unit 840 and service rendering units 850.
Acquiring unit 810 is configured as obtaining data relevant to numerical control device.For example, acquired data may include
The intermediate result analyzed using data and/or application data acquired from data equipment.In addition, acquired data can be with
Including the cloud storing data (including static data, sampled data etc.) acquired from numerical control device.
Transmission unit 820 is configured as sending cloud service center for acquired data.
Receiving unit 830 is configured as receiving the data analysis result to acquired data from cloud service center.
Application execution unit 840 is configured as executing specific intelligence application based on data analysis result.
Service rendering units 850 be configured as according to specific intelligenceization application execution to numerical control device provide with it is specific
The relevant service of intelligent Application.
In one implementation, data analysis result includes to specific intelligenceization using relevant lathe model, lathe
Model is (such as to carry out deep learning etc to data by using technologies such as such as convolutional neural networks based on acquired data
Machine learning mode) establish.
In one implementation, data analysis result include according to specific intelligenceization using relevant lathe model and
The data information (such as Optimal Parameters, implementation strategy) of formation, the lathe model are based on acquired data (such as by adopting
With the machine learning mode that such as technologies such as convolutional neural networks data are carried out with deep learning etc) establish.
In one implementation, acquiring unit 810 is configured as: acquiring number relevant to numerical control device from numerical control device
According to using as acquired data.
In one example, acquiring unit 810 can apply data from numerical control device acquisition is relevant to numerical control device, with
A part as acquired data.
In another example, acquiring unit 810 can acquire static data relevant to numerical control device from numerical control device,
Using a part as acquired data.
In yet another example, acquiring unit 810 can acquire sampled data relevant to numerical control device from numerical control device,
Using a part as acquired data.
In one implementation, acquiring unit 810 is configured as: acquiring number relevant to numerical control device from numerical control device
According to；And data collected are pre-processed, using as acquired data.For example, acquiring unit 810 can be to being adopted
The application data of collection are pre-processed, to be sent to cloud service center.
In one implementation, numerical control device includes one or more manufacturing equipments and corresponding digital control system.For example,
The numerical control device can be any manufacturing equipment such as general NC lathe, robot, machining center and its corresponding digital control system
(including but not limited to FANUC, SIEMENSE, HNC etc.).
In one implementation, data relevant to numerical control device include at least one of the following: digital control system and/or system
Make the static information (such as IP address, SN code, system version number etc.) of equipment；Digital control system is in process or user setting mistake
The multidate information (such as register value, warning message, tool-information etc.) generated in journey；And it is mounted on the biography in manufacturing equipment
The collected data of sensor (such as the data such as vibration, electric current, voltage).
In one implementation, which it is (such as disconnected to can be real-time application or responsive type application
Knife detection, cutter track real-time optimization etc.), being also possible to the intelligent Application of non real-time/semireal time, (such as G code optimization, lathe are strong
Health status monitoring etc.).
Fig. 9 is to show the structural block diagram of the device 900 at cloud service center according to an embodiment of the present invention, device
900 for servicing numerical control device, such as numerical control device shown in FIG. 1 110.For example, the cloud service center can be shown in Fig. 1
Cloud service center 130, that is to say, that device 900 may be implemented on the cloud service center 130 of Fig. 1.In addition, device
900 can also execute method 600.As shown in figure 9, device 900 includes receiving unit 910, analytical unit 920 and transmission unit
930。
Receiving unit 910 is configured as receiving data relevant to numerical control device from edge service center, such as using number
According to and/or cloud storing data etc..
Analytical unit 920 is configured as analyzing the data received, to obtain data analysis result.
Transmission unit 930 is configured as sending data analysis result at edge service center, so that edge service
Center executes specific intelligenceization application according to the data analysis result and provides and the specific intelligence application to numerical control device
Relevant service.
In one implementation, analytical unit 920 is also configured to be established and specific intelligence according to the data received
Energyization applies relevant lathe model, using as data analysis result.For example, analytical unit 920 can be according to the number received
The lathe model is established according to deep learning is carried out to the data in the memory resource pool of cloud by machine learning.Alternatively, divide
Analysis unit 920 can be additionally configured to the demand applied according to specific intelligenceization, according to the lathe model, calculate it is corresponding such as
The data information of Optimal Parameters, implementation strategy etc, using as data analysis result.
In one implementation, device 900 can also include storage unit 940, be configured as storage from edge service
The data relevant to numerical control device that center receives, such as cloud storing data.
In one implementation, in one implementation, numerical control device can be general NC lathe, robot,
Any manufacturing equipment such as machining center and its corresponding digital control system (including but not limited to FANUC, SIEMENSE, HNC etc.).
In one implementation, data relevant to numerical control device include at least one of the following: digital control system and/or system
Make the static information (such as IP address, SN code, system version number etc.) of equipment；Digital control system is in process or user setting mistake
The multidate information (such as register value, warning message, tool-information etc.) generated in journey；And it is mounted on the biography in manufacturing equipment
The collected data of sensor (such as the data such as vibration, electric current, voltage).
In one implementation, which it is (such as disconnected to can be real-time application or responsive type application
Knife detection, cutter track real-time optimization etc.), be also possible to non real-time/semireal time intelligent use (such as G code optimization, lathe health
Status monitoring etc.).
As described above, edge service center 120 may include one or more edge calculations equipment.At edge service center
In the case that 120 only include an edge calculations equipment, which represents edge service centre 120 and participates in example
Operation 200, including data shown in Fig. 2 acquisition, data upload and service offer etc..Side is described below in conjunction with Figure 10-12
Edge service centre 120 includes the case where more than one edge calculations equipment.
Figure 10 shows the signal of an exemplary construction of numerical control device control system 100 according to an embodiment of the present invention
Figure, wherein edge service center 120 includes 2 or 2 or more edge calculations equipment.For example, these edge calculations equipment can be with
Constituent apparatus 800 is combined, can also cooperate execution method 300.
As shown in Figure 10, edge service center 120 includes 4 edge calculations equipment 1010,1020,1030 and 1040,
Middle edge calculations equipment 1010 has a function of acquiring to numerical control device request data, therefore also known as level-one edge calculations node,
And other edge calculations equipment are referred to as second level edge calculations node.Although showing edge service center 120 in Figure 10 includes 4
Edge calculations equipment, it should be understood that the edge calculations that the edge service center 120 in this example also may include other quantity are set
It is standby.For example, edge service center 120 may include more or fewer second level edge calculations nodes.
As shown in Figure 10, level-one edge calculations node 1010 can represent edge service centre 120 and adopt from numerical control device 110
Collect data, and collected data and/or processed data are uploaded into cloud service center 130.
For example, level-one edge calculations node 1010 can acquire cloud storing data (including static number from numerical control device 110
According to and/or sampled data), and cloud storing data is uploaded to cloud and is stored, form industrial big data storage pool.These
Data can be used to realize that data intelligence is excavated, assist to complete Machining modeling etc..For the sampled data in the storing data of cloud,
Level-one edge calculations node 1010 can also execute data prediction service before upload to it, such as may include but unlimited
In: data cleansing, data desensitization, data redundancy processing, data integrity verifying etc., the analysis of cloud data can be effectively reduced in this
Load.Whether level-one edge calculations node 1010 executes data prediction service to sampled data can be as needed by user
Setting.
Level-one edge calculations node 1010 can also be executed from 110 acquisition applications data of numerical control device, application data to be divided
Analysis processing, and can be provided according to the analysis and processing result of application data for numerical control device 110 relevant to intelligent Application
It services (also referred to as intelligent Application).Level-one edge calculations node 1010 can also will divide using data and/or application data
The intermediate result (intermediate result of application data analysis is also classified as using data) of analysis is sent to cloud service center 130,
To request cloud service center 130 to assist the execution of intelligent Application.
Level-one edge calculations node 1010 can also be according to data requirements (such as the data of each second level edge calculations node
Type, period etc.) by collected application data distribution to corresponding second level edge calculations node.For example, level-one edge calculations
Node 1010 (can be answered according to the data requirements of itself and each second level edge calculations node for example, to execute specific intelligence
With required data) data type using data for needing to acquire and corresponding collection period be set, and adopted accordingly
Collection and distribution.
Level-one edge calculations node 1010 can also be according to corresponding intelligent Service for the demand of application data, automatically
The optimal acquisition of application data and distribution policy are set.For example, different edge calculations nodes to same type data (such as electricity
Stream) there is different cycle requirements, level-one edge calculations node can execute data acquisition according to the maximum data collection period demand, and
Data distribution is carried out according to the actual demand of each intelligent Application.For example, the different intelligent of the same edge calculations node
There is different cycle requirements using to same type data (such as electric current), level-one edge calculations node also can be according to the maximum data
Collection period demand executes data acquisition, and executes data distribution to the edge calculations node according to the maximum data demand cycle,
Intelligent Application in the edge calculations node actively obtains data according to respective data requirements.
Level-one edge calculations node 1010 and/or second level edge calculations node can be assisted with cloud service center 130
With running (that is, carrying out relevant to data analysis function using data interaction), to realize more preferably intelligent Application.
Correspondingly, (including 1010 He of level-one edge calculations node of each edge calculations equipment in edge service center 120
Any second level edge calculations node) result that can be analyzed according to data (and/or cooperates with cloud service center 130
The result of processing), the relevant services of intelligent Applications such as non real-time/semireal time/in real time are provided for numerical control device 110, such as disconnected
Knife detection, the optimization of cutter track real-time optimization, G code, lathe health status monitoring etc..
Cloud service center 130 directly can also provide data or the relevant service of intelligent Application to numerical control device 110.
Each second level edge calculations node can send registration information to level-one edge calculations node 1010.Registration information can
To include at least one of following (but being not limited to): the device identification of the second level edge calculations node；The second level edge calculations node
Data analysis function mark；The data type demand of the second level edge calculations node；And the second level edge calculations node
Data transfer cycle etc..Level-one edge calculations node can also be automatically performed the registration of itself intelligent Application.
Each second level edge calculations node can be associated by level-one edge calculations node 1010 with its registration information, with
Form data distribution information table.Level-one edge calculations node 1010 can be according to the data distribution information table by collected data
One or more second level edge calculations nodes are distributed to, the intelligent Application of itself can also be served data to.
Level-one edge calculations node 1010 can monitor itself and all second level edge calculations nodes operating status and
The operating status of its all intelligent Application service undertaken, and when equipment and/or service break down, it provides alarm and mentions
Show.
In addition, level-one edge calculations node 1010 can be according to the operating status at edge service center 120 (for example, level-one
The operating status and its all intelligent Application service undertaken of edge calculations node and all second level edge calculations nodes
Operating status) to adjust the acquisition state using data in time, and update data distribution information table.
Figure 11 shows the signal of another exemplary construction of numerical control device control system 100 according to an embodiment of the present invention
Figure, wherein edge service center 120 includes 2 or 2 with upper level edge calculations node.For example, these edge calculations nodes
Constituent apparatus 800 can be combined, can also cooperate execution method 300.
As shown in figure 11, edge service center 120 includes edge calculations equipment 1110-1160, wherein edge calculations equipment
1110 are also referred to as edge calculations management node, are used for the multiple level-one edge calculations nodes of Collaboration, edge calculations equipment 1120
It is level-one edge calculations node with 1130, edge calculations equipment 1140-1160 is second level edge calculations node, wherein second level side
Edge calculate node 1140 and 1150 is responsible for by level-one edge calculations node 1120, and second level edge calculations node 1160 is by level-one edge
Calculate node 1130 is responsible for.
In this example, level-one edge calculations node (for example, level-one edge calculations node 1120,1130) can be from numerical control
110 acquisition data of equipment, and edge calculations management node 1110 can not have data acquisition function.Level-one edge calculations node
1120, it 1130 can include at least to 1110 information registering of edge calculations management node with the next item down content (but being not limited to): one
The device identification of grade edge calculations node, the data analysis function of level-one edge calculations node identify, and are convenient for edge calculations management
Node 1110 is managed level-one edge calculations node 1120,1130.In addition to this, level-one edge calculations node 1120,
1130 are likewise supplied with the function that above-mentioned level-one edge calculations node 1010 described in conjunction with Figure 10 has.
Which level-one edge calculations node is edge calculations management node 1110 can set (for example, level-one edge calculations
Node 1120 or 1130) to cloud service center 130 send cloud storing data.That is, when having at least two in system
When a level-one edge calculations node is in normal operating condition, allows to have and only one level-one edge calculations node is set from numerical control
Standby 110 acquisition cloud storing data is simultaneously uploaded to cloud service center 130, then other level-one edge calculations nodes can not
Acquire cloud storing data.Data collection capacity can be reduced in this way, can effectively avoid data jamming, and avoid in cloud service
The heart 130 is due to memory resource pool Data duplication caused by receiving redundant data.
Level-one edge calculations node 1120 and 1130 is responsible for each second level edge calculations node forwarding number being responsible for itself
According to.Specifically, level-one edge calculations node 1120 can forward data, level-one side to second level edge calculations node 1140 and 1150
Edge calculate node 1130 can forward data to second level edge calculations node 1160.So each level-one edge calculations node pair
Acquisition state using data be responsible for by it intelligent Application (including level-one edge calculations node its own and bear
The intelligent Application executed on the second level edge calculations node of duty) data requirements determine.
Above-mentioned login mechanism described in conjunction with Figure 10 is equally applicable to 1120 He of level-one edge calculations node here
1130 and corresponding second level edge calculations node.
Edge calculations management node 1110 can be responsible for monitoring each level-one edge calculations node and second level edge calculations
The operating status of node and the intelligent Application of its carrying.Certainly, the monitor task of acquisition state can be by each level-one
Edge calculations node disjoint undertakes.
Edge calculations management node 1110 is also responsible for the monitoring and all one of each level-one edge calculations node load state
The scheduling of grade edge calculations internodal data distributed tasks.Firstly, edge calculations management node 1110 is set with a predetermined threshold
Value, for measuring the data distribution amount (such as interior per minute) of all level-one edge calculations nodes.The predetermined threshold, which can be, is
It is under unified central planning to set, it can also be by user's sets itself.Firstly, edge calculations management node 1110 can calculate and record each level-one side
The data distribution amount of edge calculate node, then periodically calculate in all level-one edge calculations nodes the maximum data dispensed amount with it is minimum
Difference between data distribution amount, finally judges whether the difference has exceeded above-mentioned predetermined threshold.If having exceeded predetermined threshold,
The just log-on data distributed tasks scheduling mechanism of edge calculations management node 1110, that is, by the level-one edge of the maximum data dispensed amount
The partial data distributed tasks of calculate node transfer the level-one edge calculations node of minimum data dispensed amount to, to realize system
" load balancing ".
For example, the present invention can use following example mechanism in the transfer of data distribution task: (1) according to " data point
Photos and sending messages table " judges the data distribution amount of each parameter, and provides optimal data according to the data distribution amount of each parameter
Distributed tasks transfer plan；(2) " redundancy Hedging mechanism " is set, to guarantee being not at least two edges in hand-over
Calculate node distributes identical data simultaneously to the same second level edge calculations node, to avoid the second level edge calculations node
The intelligent Service of mistake is provided due to redundant data；(3) setting " quickly transferring strategy ", makes each level-one edge calculations section
The transfer of data distribution amount o'clock is completed, within tentation data distribution period so as to shorten level-one edge calculations node overload fortune
The capable time improves the Stability and dependability of system；(4) in transferring handoff procedure, 1110 meeting of edge calculations management node
Whether the intelligent Application monitored in real time in each second level edge calculations node normally gets data, if monitored a certain
The data acquisition of item intelligent Application occurs interrupting (" breakpoint "), the corresponding second level edge calculations of edge calculations management node 1110
Node does not provide service relevant to the intelligent Application to numerical control device during the interruption of data acquisition, until data acquisition
After restoring normal, reinforms corresponding second level edge calculations node and restore normal service state.
It cloud service center 130 can be with edge calculations node (level-one edge calculations node and/or second level edge calculations section
Point) carry out it is relevant to data analysis function using data interaction.It cloud service center 130 can also be directly to numerical control device
110 provide service.
Edge calculations node (level-one edge calculations node and/or second level edge calculations node) can be to numerical control device 110
Edge calculations service is provided.
Alternatively, edge service center 120 also can have the data acquisition module independently of edge calculations unit.
Figure 12 shows the signal of another exemplary construction of numerical control device control system 100 according to an embodiment of the present invention
Figure, wherein edge service center 120 includes an independent data acquisition module 1210.
As shown in figure 12, other than data acquisition module 1210, edge service center 120 further includes one or more sides
Edge calculates equipment/node 1220.For example, these edge calculations equipment and data acquisition module 1210 can combine composition
Device 800, can also cooperate execution method 300.
Since data acquisition module 1210 is responsible for data acquisition, so the edge calculations equipment in this example is at the same level
Edge calculations node.Although it includes 5 edge calculations nodes 1220 that Figure 12, which shows edge service center 120, although it is understood that
This example is suitable for the edge calculations node of any other quantity.
All edge calculations nodes 1220 are completed registration to data acquisition module 1210 and are operated, and data acquisition module 1210
Data collection type and corresponding data collection cycle are set according to registration information, then data acquisition module 1210 is from numerical control device
Data are acquired in 110 and are distributed to edge calculations node 1220.
In addition to this, data acquisition module 1210 is also responsible in the acquisition clouds such as sampled data and static data storing data
Pass to cloud service center 130.
Edge calculations node in edge service center 120 provides edge calculations service to numerical control device 110.
Edge calculations node in edge service center 120 carries out and data analysis function phase with cloud service center 130
Apply data interaction in pass.Cloud service center 130 can also provide service to numerical control device 110.
In this example, data acquisition module 1210 is responsible for the registration of edge calculations node, to edge service centre 120
Condition monitoring, using data distribution, cloud storing data cloud upload etc. tasks.
Figure 13 is the device for being used to service numerical control device shown at edge service center according to an embodiment of the present invention
1300 structural block diagram.For example, edge service center can be edge service center 120 as shown in Figure 1, device 1300 can be with
It is common computer, server or specific computing device etc..Device 1300 both may be implemented at the edge service center 120 of Fig. 1
On, method 300 can also be executed.
As shown in figure 13, device 1300 includes: communication interface 1310, processor 1320 (such as CPU) and memory 1330.
For ease of description, a processor is schematically shown in Figure 13.However, it will be understood by those skilled in the art that device 1300
It also may include two or more processors.
Communication interface 1310 is used for and PERCOM peripheral communication.Such as communication interface 1310 can be Ethernet (Ethernet, registration
Trade mark) interface.Device 1300 can use certain communication protocol and numerical control device 110 or cloud by communication interface 1310
Service centre 130 is communicated.
The executable instruction of 1330 storage processor 1320 of memory, combines described by Fig. 3-5 so that device 1300 executes
Method 300.
Figure 14 is the device for being used to service numerical control device shown at cloud service center according to an embodiment of the present invention
1400 structural block diagram.For example, cloud service center can be cloud service center 130 as shown in Figure 1, device 1400 can be with
It is server or specific computing device etc..Device 1400 both may be implemented on the cloud service center 130 of Fig. 1, can also be with
Execution method 600.
As shown in figure 14, device 1400 includes: communication interface 1410, processor 1420 (such as CPU) and memory 1430.
For ease of description, a processor is schematically shown in Figure 14.However, it will be understood by those skilled in the art that device 1400
It also may include two or more processors.
Communication interface 1410 is used for and PERCOM peripheral communication.Such as communication interface 1410 can be Ethernet (Ethernet, registration
Trade mark) interface.Device 1400 can use certain communication protocol and numerical control device 110 or edge by communication interface 1410
Service centre 120 is communicated.
The executable instruction of 1430 storage processor 1420 of memory, combines described by Fig. 6-7 so that device 1400 executes
Method 600.
The present invention also provides at least one with non-volatile or form of volatile memory computer storage medium, example
Such as electrically erasable programmable read-only memory (EEPROM), flash memory and hard drive, it is stored with computer executable instructions.It calculates
The process that machine executable instruction combines Fig. 3-5 to describe before executing device 1300 for example is moved
Make, or the movement for the process for combining Fig. 6-7 to describe before device 1400 is executed for example.
Processor can be single cpu (central processing unit), but also may include two or more processors.Example
Such as, processor may include general purpose microprocessor；Instruction set processor and/or related chip collection and/or special microprocessor (example
Such as, specific integrated circuit (ASIC)).Processor also may include onboard storage device for cache purposes.For example, calculating
Machine storage medium can be flash memory, random access memory (RAM), read-only memory (ROM) or EEPROM.
Those skilled in the art of the present technique are appreciated that the present invention includes being related to for executing in heretofore described operation
One or more equipment.These equipment can specially design and manufacture for required purpose, or also may include general
Known device in computer.These equipment have the computer program being stored in it, these computer programs are selectively
Activation or reconstruct.Such computer program can be stored in equipment (for example, computer) readable medium or be stored in
It e-command and is coupled in any kind of medium of bus respectively suitable for storage, the computer-readable medium includes but not
Be limited to any kind of disk (including floppy disk, hard disk, CD, CD-ROM and magneto-optic disk), ROM (Read-Only Memory, only
Read memory), RAM (Random Access Memory, immediately memory), EPROM (Erasable Programmable
Read-Only Memory, Erarable Programmable Read only Memory), EEPROM (Electrically Erasable
Programmable Read-Only Memory, Electrically Erasable Programmable Read-Only Memory), flash memory, magnetic card or light card
Piece.It is, readable medium includes by equipment (for example, computer) with any Jie for the form storage or transmission information that can be read
Matter.
Those skilled in the art of the present technique be appreciated that can be realized with computer program instructions these structure charts and/or
The combination of each frame and these structure charts and/or the frame in block diagram and/or flow graph in block diagram and/or flow graph.This technology neck
Field technique personnel be appreciated that these computer program instructions can be supplied to general purpose computer, special purpose computer or other
The processor of programmable data processing method is realized, to pass through the processing of computer or other programmable data processing methods
The scheme specified in frame or multiple frames of the device to execute structure chart and/or block diagram and/or flow graph disclosed in this invention.
Those skilled in the art of the present technique have been appreciated that in the present invention the various operations crossed by discussion, method, in process
Steps, measures, and schemes can be replaced, changed, combined or be deleted.Further, each with having been crossed by discussion in the present invention
Kind of operation, method, other steps, measures, and schemes in process may also be alternated, changed, rearranged, decomposed, combined or deleted.
Further, in the prior art to have and the step in various operations, method disclosed in the present invention, process, measure, scheme
It may also be alternated, changed, rearranged, decomposed, combined or deleted.
The above is only some embodiments of the invention, it is noted that for the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered
It is considered as protection scope of the present invention.
Claims (54)
1. a kind of method for servicing numerical control device executed at edge service center, comprising:
Obtain data relevant to numerical control device；
Cloud service center is sent by acquired data；
The data analysis result to acquired data is received from cloud service center；
Analysis result executes specific intelligence application based on the data；And
It is provided according to the execution applied to the specific intelligenceization to numerical control device and applies relevant clothes to the specific intelligenceization
Business.
2. according to the method described in claim 1, wherein, the data analysis result includes to specific intelligenceization using relevant
Lathe model, the lathe model are established based on acquired data.
3. according to the method described in claim 1, wherein, the data analysis result includes applying phase according to specific intelligenceization
The lathe model of pass and the data information formed, the lathe model is established based on acquired data.
4. according to the method in any one of claims 1 to 3, wherein obtaining data relevant to numerical control device includes:
Relevant to numerical control device data are acquired from numerical control device, using as acquired data.
5. according to the method in any one of claims 1 to 3, wherein obtaining data relevant to numerical control device includes:
Data relevant to numerical control device are acquired from numerical control device；
Data collected are pre-processed, using as acquired data.
6. the method according to any one of claims 1 to 5, wherein the numerical control device includes one or more manufactures
Equipment and corresponding digital control system.
7. according to the method described in claim 6, wherein, data relevant to numerical control device include at least one of the following:
The static information of digital control system and/or manufacturing equipment；
The multidate information that digital control system generates during process or user setting；And
The collected data of the sensor being mounted in manufacturing equipment.
8. method according to any one of claim 1 to 7, wherein the specific intelligence application is real-time application
Or responsive type application.
9. a kind of method for servicing numerical control device executed at service centre beyond the clouds, comprising:
Data relevant to numerical control device are received from edge service center；
The data received are analyzed, to obtain data analysis result；And
Edge service center is sent by data analysis result, so that edge service center is according to the data analysis result
It executes the specific intelligenceization application and provides to the specific intelligenceization to numerical control device using relevant service.
10. according to the method described in claim 9, wherein, carrying out analysis to the data received includes:
It according to the data received, establishes and applies relevant lathe model to specific intelligenceization, tied using being analyzed as the data
Fruit.
11. according to the method described in claim 9, wherein, carrying out analysis to the data received includes:
According to the data received, establishes and apply relevant lathe model to specific intelligenceization；And
According to the demand that specific intelligenceization is applied, data information is formed according to the lathe model, to analyze as the data
As a result.
12. the method according to any one of claim 9 to 11, further includes:
Store the data relevant to numerical control device received from edge service center.
13. the method according to any one of claim 9 to 12, wherein the numerical control device includes one or more systems
Make equipment and corresponding digital control system.
14. according to the method for claim 13, wherein data relevant to numerical control device include at least one of the following:
The static information of digital control system and/or manufacturing equipment；
The multidate information that digital control system generates during process or user setting；And
The collected data of the sensor being mounted in manufacturing equipment.
15. the method according to any one of claim 9 to 14, wherein the specific intelligence application is that real-time is answered
With or responsive type application.
16. the device at a kind of edge service center, for servicing numerical control device, comprising:
Acquiring unit is configured as obtaining data relevant to numerical control device；
Transmission unit is configured as sending cloud service center for acquired data；
Receiving unit is configured as receiving the data analysis result to acquired data from cloud service center；
Application execution unit is configured as analyzing result execution specific intelligence application based on the data；And
Service rendering units are configured as being provided and the spy according to the execution to specific intelligenceization application to numerical control device
Determine the relevant service of intelligent Application.
17. device according to claim 16, wherein the data analysis result includes related to specific intelligenceization application
Lathe model, the lathe model is established based on acquired data.
18. device according to claim 16, wherein the data analysis result includes foundation and specific intelligence application
Relevant lathe model and the data information formed, the lathe model is established based on acquired data.
19. device described in any one of 6 to 18 according to claim 1, wherein the acquiring unit is configured as:
Relevant to numerical control device data are acquired from numerical control device, using as acquired data.
20. device described in any one of 6 to 18 according to claim 1, wherein the acquiring unit is configured as:
Data relevant to numerical control device are acquired from numerical control device；And
Data collected are pre-processed, using as acquired data.
21. device described in any one of 6 to 20 according to claim 1, wherein the numerical control device includes one or more systems
Make equipment and corresponding digital control system.
22. device according to claim 21, wherein data relevant to numerical control device include at least one of the following:
The static information of digital control system and/or manufacturing equipment；
The multidate information that digital control system generates during process or user setting；And
The collected data of the sensor being mounted in manufacturing equipment.
23. device described in any one of 6 to 22 according to claim 1, wherein the specific intelligence application is that real-time is answered
With or responsive type application.
24. the device at a kind of cloud service center, for servicing numerical control device, comprising:
Receiving unit is configured as receiving data relevant to numerical control device from edge service center；
Analytical unit is configured as analyzing the data received, to obtain data analysis result；And
Transmission unit is configured as sending data analysis result at edge service center, so that edge service Central Radical
The specific intelligenceization application is executed according to the data analysis result and is provided and the specific intelligence application to numerical control device
Relevant service.
25. device according to claim 24, wherein the analytical unit is also configured to
It according to the data received, establishes and applies relevant lathe model to specific intelligenceization, tied using being analyzed as the data
Fruit.
26. device according to claim 24, wherein the analytical unit is also configured to
According to the data received, establishes and apply relevant lathe model to specific intelligenceization；And
According to the demand that specific intelligenceization is applied, data information is formed according to the lathe model, to analyze as the data
As a result.
27. the device according to any one of claim 24 to 26, further includes:
Storage unit is configured as storing the data relevant to numerical control device received from edge service center.
28. the device according to any one of claim 24 to 27, wherein the numerical control device includes one or more systems
Make equipment and corresponding digital control system.
29. device according to claim 28, wherein data relevant to numerical control device include at least one of the following:
The static information of digital control system and/or manufacturing equipment；
The multidate information that digital control system generates during process or user setting；And
The collected data of the sensor being mounted in manufacturing equipment.
30. the device according to any one of claim 24 to 29, wherein the specific intelligence application is that real-time is answered
With or responsive type application.
31. a kind of edge service center, for servicing numerical control device, comprising:
Communication interface；
At least one processor；And
Memory, the memory store the executable instruction of at least one described processor, described instruction by it is described at least
One processor makes the edge service center execute method according to any one of claim 1 to 8 when executing.
32. a kind of cloud service center, for servicing numerical control device, comprising:
Communication interface；
At least one processor；And
Memory, the memory store the executable instruction of at least one described processor, described instruction by it is described at least
One processor makes the cloud service center execute method according to any one of claims 9 to 15 when executing.
33. a kind of edge service center, comprising:
One or more edge calculations nodes, wherein each edge calculations node can be carried out with cloud service center and number
According to the related interaction of analytic function, specific intelligence application is executed according to the data analysis result of cloud service center feedback, with
And it is provided to data equipment and applies relevant service to specific intelligenceization.
34. edge service center according to claim 33, wherein in one or more of edge calculations nodes at least
There is an edge calculations node that can acquire data related with numerical control device from numerical control device.
35. the edge service center according to claim 33 or 34, wherein in one or more of edge calculations nodes
Have and data related with numerical control device can be uploaded to cloud service center by only one edge calculations node.
36. the edge service center according to any one of claim 33 to 35, wherein one or more of edge meters
Operator node includes:
One or more level-one edge calculations nodes for acquiring data related with numerical control device from numerical control device, and will be adopted
The data and the/collected data through specific data collected are sent to cloud service center.
37. edge service center according to claim 36, wherein one or more of edge calculations nodes also wrap
It includes:
One or more second level edge calculations nodes, each second level edge calculations node is by one or more of level-one edges meter
A level-one edge calculations node in operator node distributes data.
38. the edge service center according to claim 37, wherein in one or more of level-one edge calculations nodes
The corresponding second level edge calculations node of each edge calculations monitoring nodes and its data analysis function operating status.
39. the edge service center according to claim 37 or 38, wherein one or more of second level edge calculations sections
Each of point second level edge calculations node sends registration information, the registration information to corresponding level-one edge calculations node
It includes at least one of the following:
The device identification of the second level edge calculations node；
The data analysis function of the second level edge calculations node identifies；
The data type demand of the second level edge calculations node；And
The data transfer cycle of the second level edge calculations node.
40. edge service center according to claim 39, wherein in one or more of level-one edge calculations nodes
Each level-one edge calculations node corresponding each second level edge calculations node is associated with its registration information, with formation
Data distribution information table.
41. edge service center according to claim 40, wherein in one or more of level-one edge calculations nodes
Each level-one edge calculations node according to the data distribution information table by collected data distribution give corresponding second level side
Edge calculate node.
42. edge service center according to claim 41, wherein in one or more of level-one edge calculations nodes
Each level-one edge calculations node according to the data need of the intelligent Application in itself and corresponding second level edge calculations node
Optimal data acquisition and distribution policy are set.
43. the edge service center according to any one of claim 40 to 42, wherein one or more of level-one sides
Each level-one edge calculations node in edge calculate node updates accordingly according to the operating status at the edge service center
Data distribution information table.
44. the edge service center according to any one of claim 36 to 43, wherein one or more of edge meters
Operator node further include:
Edge calculations management node, by setting based on a level-one edge in one or more of level-one edge calculations nodes
Operator node from numerical control device acquire relevant to numerical control device data and to the collected data of cloud service center transmission and/
Collected data through particular procedure.
45. edge service center according to claim 44, wherein the edge calculations management node is also used to:
Monitor each of one or more of level-one edge calculations nodes level-one edge calculations node and its data analysis
Function operating status.
46. the edge service center according to claim 44 or 45, wherein the edge calculations management node is also used to:
Monitor the load condition of each level-one edge calculations node in one or more of level-one edge calculations nodes；And
If detecting the data point for having a level-one edge calculations node in one or more of level-one edge calculations nodes
Hair amount is higher by predetermined threshold than the data distribution amount of other level-one edge calculations nodes, then by the portion of the level-one edge calculations node
Divided data dispensed amount transfers other level-one edge calculations nodes to.
47. the edge service center according to any one of claim 44 to 46, wherein the edge calculations management node
It is also used to:
The data distribution amount of each parameter is judged according to data distribution information table；And
Optimal data distribution amount transfer plan is provided according to the data distribution amount of each parameter.
48. the edge service center according to any one of claim 44 to 47, wherein the edge calculations management node
It is also used to:
Redundancy Hedging mechanism is set, it is same to the same second level edge calculations node to avoid at least two level-one edge calculations nodes
When distribute identical data.
49. the edge service center according to any one of claim 44 to 48, wherein the edge calculations management node
It is also used to:
Strategy is quickly transferred in setting, so that each level-one edge calculations node completes data point within the tentation data distribution period
The transfer of hair amount.
50. the edge service center according to any one of claim 44 to 49, wherein the edge calculations management node
It is also used to:
Whether the intelligent Application monitored in real time in each second level edge calculations node normally gets data；And
If the data acquisition for monitoring intelligent Application interrupts, notify corresponding second level edge calculations node in number
Service relevant to the intelligent Application is not provided to numerical control device during interruption according to acquisition, until data acquisition restores just
Chang Hou reinforms corresponding second level edge calculations node and restores normal service state.
51. edge service center according to claim 33, wherein the edge service center further includes data acquisition module
Block, for acquiring related with numerical control device data from numerical control device, and by collected data be sent to it is one or
At least one level-one edge calculations node in multiple level-one edge calculations nodes.
52. a kind of numerical control device control system, including
Numerical control device；
Edge service center described in any one of 6-23 and 33-46 according to claim 1；And
The cloud service center according to any one of claim 24 to 30.
53. a kind of computer storage medium is stored with computer executable instructions, the computer executable instructions are by edge
When at least one processor of service centre executes, so that the edge service center executes according to claim 1 to any in 8
Method described in.
54. a kind of computer storage medium is stored with computer executable instructions, the computer executable instructions are by cloud
When at least one processor of service centre executes, appoint so that the cloud service center is executed according in claim 9 to 15
Method described in one.
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