CN107942958B - A kind of industrial control system and method for internet of things oriented - Google Patents
A kind of industrial control system and method for internet of things oriented Download PDFInfo
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- CN107942958B CN107942958B CN201710954607.7A CN201710954607A CN107942958B CN 107942958 B CN107942958 B CN 107942958B CN 201710954607 A CN201710954607 A CN 201710954607A CN 107942958 B CN107942958 B CN 107942958B
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Abstract
The present invention provides the industrial control system and method for a kind of internet of things oriented, and system includes local acquisition equipment, central controller, local computing node and edge calculations server node；Local acquisition equipment, for acquiring the data information of the product of local production equipment production and the performance information of local computing node；Central controller for the performance information according to the data information of product, the performance information of local computing node and edge calculations server node, and combines constraint condition, and the execution node of decision task is local computing node and/or edge calculations server node；Local computing node and edge calculations server node are used to the instruction according to central controller and the data information of product, execute task.System and method provided by the invention can effectively mitigate network data current load by the execution node of central controller decision tasks, improve information processing efficiency and algorithm speed, reduce due to calculating brought time delay.
Description
Technical field
The present invention relates to internet of things field, a kind of industrial control system more particularly, to internet of things oriented and
Method.
Background technique
With the transformation and upgrade of intelligence manufacture and industrial equipment, need to collection in worksite to data information carry out various points
Analysis processing, to assist some decisions.Such as on the production line of factory.To product, whether qualification makes inspection, it is necessary to adopt
Collect the data information of the product, such as shape characteristic and compressive property etc., and these data informations are analyzed and processed, in turn
Judge whether the product is qualified.
But whether each product is qualified related with many factors, this just needs a variety of data of carry out to each product
The acquisition of information, also, the product that production line produces daily is thousands of, and this just needs us to carry out data letter to numerous products
The acquisition of breath.But conventional production equipment is limited to the analysis processing capacity of product data information, it cannot be in time to product number
It is believed that breath is analyzed and processed to obtain result.
Summary of the invention
The present invention provide it is a kind of overcome in the prior art conventional production equipment to the analysis processing capacity of product data information
It is limited, product data information cannot be analyzed and processed in time to obtain the Industry Control of the internet of things oriented of ramification problem
System and method.
According to an aspect of the present invention, a kind of industrial control system of internet of things oriented is provided, the system comprises this
Ground acquires equipment, central controller, local computing node and edge calculations server node；The local acquisition equipment, is used for
Acquire the data information of the product of local production equipment production and the performance information of the local computing node；The center control
Device, for according to the data information of the product, the performance information of the local computing node and the edge calculations server
The performance information of node, and constraint condition is combined, the execution node of decision task is the local computing node and/or the side
Edge calculation server node；The local computing node, for according to the instruction of the central controller and the number of the product
It is believed that breath, executes the task；The edge calculations server node, for according to the instruction of the central controller and described
The data information of product executes the task.
Preferably, the constraint condition is any one in the following conditions:
The time-consuming for executing the task is most short；The energy consumption for executing the task is minimum；Execute the time-consuming and energy of the task
Consumption reaches optimal balance point.
Preferably, the central controller regularly sends the result of decision to the local computing node and the edge meter
Calculate server node.
Preferably, the local acquisition equipment is also used to obtain the parameter information of the local production equipment；The system
It further include device controller, the device controller, for receiving the implementing result of the task, and according to the implementing result
With the parameter information of the local production equipment, the operating status of the local production equipment is controlled.
According to another aspect of the present invention, a kind of industrial control method of internet of things oriented is provided, which comprises
S1 obtains the data information of product, the performance information of local computing node and the edge calculations service of local production equipment production
The performance information of device node；S2, according to the data information of the product, the performance information of the local computing node and the side
The performance information of edge calculation server node, and constraint condition is combined, the execution node of decision task is the local computing section
Point and/or the edge calculations server node.
Preferably, the method also includes S3, receive the implementing result of the task, and according to the implementing result and
The parameter information of the local production equipment controls the operating status of the local production equipment.
Preferably, step S2 is specifically included:
If the constraint condition is that the time-consuming of the execution task is most short, the local computing node is executed into described appoint
The total time-consuming amount of business, the total time-consuming amount for executing the task with the edge calculations server node is compared, by executing
The shorter node of the total time-consuming amount of task is stated, as the execution node；
If the constraint condition is to execute the energy consumption minimum of the task, the local computing node is executed into described appoint
The energy input of business, the energy input for executing the task with the edge calculations server node are compared, and will execute described appoint
The lesser node of the energy input of business, as the execution node；
If the constraint condition is that the time-consuming for executing the task and energy consumption reach optimal balance point, according to the local
Calculate node executes the total time-consuming amount of the task and its weight, the edge calculations server node execute the total of the task
Time-consuming amount and its weight, the local computing node execute energy input and its weight and the edge calculations service of the task
Device node executes the energy input and its weight of the task, determines the execution node.
Preferably, the edge calculations server node executes the total time-consuming amount of the task, is obtained by following parameter:
T is measured in the data information transfer of the product to the time-consuming of the edge calculations server nodeTransData, described
Be engaged in the queuing delay amount D in the edge calculations server nodeQueue, the edge calculations server node execution is described to appoint
The time-consuming amount D of businessRemoteWhen the implementing result being sent to the passback of device controller with the edge calculations server node
The amount of prolonging DResult。
Preferably, the local computing node executes the energy input W of the taskLocalFor,
Wherein, k=10-26,fi lThe computer in the local computing node is represented for i-th
The CPU that a task can be assigned to calculates frequency, Fi lIndicate the maximum cpu frequency that computer can reach, CiIt has indicated
At the computer CPU periodicity that i-th of task needs, TiIndicate the peak response time delay that i-th of task allows, i is positive integer；
The edge calculations server node executes the energy input W of the taskRemoteFor,
Wherein, PtrFor send and receive the product data information power, DiThe data volume of i-th of task is represented,
VLocalIndicate the port speed of the local data information sending port, i is positive integer.
Preferably, the value range of the weight is 0~1.
The industrial control system and method for a kind of internet of things oriented provided by the invention, pass through central controller decision tasks
Execution node, can effectively mitigate network data current load, improve information processing efficiency and algorithm speed, reduce due to meter
Time delay brought by calculating.
Detailed description of the invention
Fig. 1 is according to a kind of structural schematic diagram of the industrial control system of internet of things oriented provided in an embodiment of the present invention；
Fig. 2 is according to a kind of task execution node of the industrial control system of internet of things oriented provided in an embodiment of the present invention
Decision process timing diagram；
Fig. 3 is according to provided in an embodiment of the present invention a kind of in the case where executing node is edge calculations server node
The timing diagram of industrial control process；
Fig. 4 is according to a kind of industry in the case where executing node and being local computing node provided in an embodiment of the present invention
The timing diagram of control process；
Fig. 5 be according to it is provided in an embodiment of the present invention it is a kind of executing node be local computing node and edge calculations service
The timing diagram of industrial control process in the case where device node；
Fig. 6 is according to a kind of flow chart of the industrial control method of internet of things oriented provided in an embodiment of the present invention.
Specific embodiment
With reference to the accompanying drawings and examples, specific embodiments of the present invention will be described in further detail.Implement below
Example is not intended to limit the scope of the invention for illustrating the present invention.
In order to mitigate network data current load, information processing efficiency and algorithm speed are improved, reduces and is brought by calculating
Time delay, the present invention provides a kind of industrial control system of internet of things oriented and methods.The embodiment of the present invention answers the system
For in the production line of factory, mainly using the system to carry out quality testing to the product on production line.
Fig. 1 be according to a kind of structural schematic diagram of the industrial control system of internet of things oriented provided in an embodiment of the present invention,
As shown in Figure 1, the system comprises local acquisition equipment, central controller, local computing node and edge calculations server sections
Point；The local acquisition equipment, the data information and the local computing section of the product for acquiring local production equipment production
The performance information of point；The central controller, for the performance according to the data information of the product, the local computing node
The performance information of information and the edge calculations server node, and constraint condition is combined, the execution node of decision task is institute
State local computing node and/or the edge calculations server node；The local computing node, for being controlled according to the center
The instruction of device processed and the data information of the product, execute the task；The edge calculations server node, for according to institute
Instruction and the data information of the product for stating central controller, execute the task.
Specifically, local acquisition equipment is used to obtain the data information and local computing of the product of local production equipment production
The performance information of node.
Wherein, local production equipment refers to: such as press machine and bonding machine are used to produce the mechanical equipment of product.
The data information of product refers to: the topographical property and compressive property reactor product of such as product whether a He Ge system
Column index.
The performance information of local computing node and edge calculations server node refers both to: in CPU calculating frequency, computer
It deposits, a series of hardware device performance indicators such as computer video memory and hard disk reading rate.
Local acquisition equipment typically refers to sensor, and the type of sensor is varied, can be to same on production line
Product carries out the acquisition of a variety of data informations, and the type of data information is chosen according to the production of factory, common to pass
Sensor includes but is not limited to: temperature sensor, humidity sensor and air quality sensor, the present embodiment are not construed as limiting this.
Specifically, central controller, for the performance information and edge according to the data information of product, local computing node
The performance information of calculation server node, and combine constraint condition, the execution node of decision task.Wherein, executing node can be with
For any one place in local computing node and edge calculations server node, or local computing node and edge calculations
Server node.
It should be noted that when central controller enforcement of the judgment node is only edge calculations server node, edge meter
Server node is calculated by according to the data information of product, executes task.Wherein, task can be with are as follows: to the data information of product into
Row analysis processing, therefore, it is determined that whether product is qualified.Task preferably only being determined to, whether product is qualified herein, the present embodiment pair
The concrete meaning of task is not construed as limiting.
It is simultaneously that local computing node and edge calculations server node refer to when executing node: task is transferred into local meter
Operator node and edge calculations server process, central controller respectively need local computing node and edge calculations server node
Subtask to be processed distributes.Local computing node and edge calculations server node according to the subtask that need to respectively handle,
It obtains the implementing result of subtask, and respective subtask implementing result is summarized.
A kind of industrial control system of internet of things oriented provided in this embodiment, passes through holding for central controller decision tasks
Row node can effectively mitigate network data current load, improve information processing efficiency and algorithm speed, reduce by calculating institute
Bring time delay.
Based on the above embodiment, the constraint condition in above-described embodiment is specifically described in the present embodiment, the constraint
Condition is any one in the following conditions: the time-consuming for executing the task is most short；The energy consumption for executing the task is minimum；It executes
The time-consuming and energy consumption of the task reach optimal balance point.
Specifically, for various boundary conditions, central controller is different for the court verdict of task execution node.
Wherein, the time-consuming and energy consumption that execute task reach the optimal balance point in optimal balance point, examine according to actual needs
Consider and determines.
A kind of industrial control system of internet of things oriented provided in this embodiment can pass through choosing by introducing constraint condition
Different task execution nodes is taken, to realize that task execution time-consuming amount, energy input are minimum or time-consuming measure reaches simultaneously with energy input
Optimal balance point.
Based on the above embodiment, the central controller in the present embodiment regularly sends the result of decision to the local
Calculate node and the edge calculations server node.
Wherein, the result of decision are as follows: the execution node of task is only local computing node；The execution node of task is only edge
Calculation server node；The execution node of task is local computing node and edge calculations server node.
A kind of industrial control system of internet of things oriented provided in this embodiment, central controller is by determining the result of decision
When be sent to local computing node and edge calculations server node, can effectively mitigate network data current load, improve letter
Treatment effeciency and algorithm speed are ceased, is reduced due to calculating brought time delay
Based on the above embodiment, the local acquisition equipment in the present embodiment is also used to obtain the local production equipment
Parameter information；The system also includes device controller, the device controller, for receiving the execution knot of the task
Fruit, and according to the parameter information of the implementing result and the local production equipment, control the operation of the local production equipment
State.
Specifically, the parameter information of local production equipment refers to: the working condition of local production equipment, environment temperature and wet
A series of indexs for measuring production equipment state such as degree.
Specifically, device controller receives the implementing result of task, and according to the ginseng of implementing result and local production equipment
Number information controls the operating status of local production equipment, and then to obtain the product for meeting Eligibility requirements.
As a preferred embodiment, the present embodiment combination attached drawing and by specifically illustrating, to central controller to appointing
The decision process that business executes node, which is made, to be illustrated.
Fig. 2 is according to a kind of task execution node of the industrial control system of internet of things oriented provided in an embodiment of the present invention
Decision process timing diagram, as shown in Fig. 2, local computing unit and Local Communication Module are the built-in mould of local computing node
Block, edge communications module and edge calculations unit are the built-in module in edge calculations server node.
The performance information of the data information of product and local computing node is passed through Local Communication Module by local computing unit
It is sent to edge communications module.It should be noted that Local Communication Module passes through communication network for the data information of product and this
The performance information of ground calculate node is sent to central controller, wherein communication network can be Industrial Ethernet, wireless ether
One of net, Wifi wireless network, 3G network and 4G network are a variety of.
After edge communications module receives the data information of product and the performance information of local computing node, by product
The performance information of data information and local computing node is sent to central controller.Also, edge calculations unit is by the property of itself
Energy information is sent to central controller.
Central controller is according to the data information of the product received, the performance information and edge calculations of local computing node
The performance information of unit is sent, the execution node of decision task, and by the result of decision, that is, task execution node feeding back to local
Computing unit and edge calculations server node.To which local computing unit updates policy database according to the result of decision.
Fig. 3 is according to provided in an embodiment of the present invention a kind of in the case where executing node is edge calculations server node
The timing diagram of industrial control process, as shown in figure 3, local computing unit has been received that appointing for central controller feedback at this time
Business executes the court verdict of node, and it is edge calculations server node that this court verdict decision tasks, which executes node,.Then count
The data information for the product that will acquire according to acquisition equipment is sent to edge communications module, the product that edge communications module will receive
Data information be sent to edge calculations unit, edge calculations unit carries out at analysis according to the data information of the product received
The implementing result of task is fed back to device controller to execute task by reason.Device controller according to the implementing result of task,
Adjust the operating status of production equipment.
Fig. 4 is according to a kind of industry in the case where executing node and being local computing node provided in an embodiment of the present invention
The timing diagram of control process, as shown in figure 4, local computing unit has been received that the task of central controller feedback is held at this time
The court verdict of row node, and it is local computing node that this court verdict decision tasks, which executes node,.Then data acquisition equipment
The data information for the product that will acquire is sent to local computing unit, and local computing unit is believed according to the data of the product received
Breath is analyzed and processed to execute task, and the implementing result of task is fed back to device controller.Device controller according to appoint
The implementing result of business adjusts the operating status of production equipment.
Fig. 5 be according to it is provided in an embodiment of the present invention it is a kind of executing node be local computing node and edge calculations service
The timing diagram of industrial control process in the case where device node, as shown in figure 5, during local computing unit has been received that at this time
The court verdict of the task execution node of controller feedback is entreated, and it is local computing that this court verdict decision tasks, which executes node,
Node and edge calculations server node.Then central controller transfers to task at local computing node and edge calculations server
Reason, and respectively subtask to be treated distributes by local computing node and edge calculations server node.Local computing section
Point and edge calculations server node obtain the implementing result of respective subtask according to the subtask that need to respectively handle, and will be each
Local computing unit is summarized in from the implementing result of subtask.Task action result is fed back to equipment control by local computing unit
Device, device controller adjust the operating status of production equipment according to the implementing result of task.
Based on the above embodiment, the present embodiment provides a kind of industrial control method of internet of things oriented, Fig. 6 is according to this hair
A kind of flow chart of the industrial control method for internet of things oriented that bright embodiment provides, as shown in Figure 6, which comprises
S1 obtains the data information of the product of local production equipment production, the performance information and edge of local computing node
The performance information of calculation server node；
S2 takes according to the data information of the product, the performance information of the local computing node and the edge calculations
The performance information of business device node, and constraint condition is combined, the execution node of decision task is the local computing node and/or institute
State edge calculations server node.
Wherein, the data information of product, the performance information of local computing node, edge calculations of local production equipment production
Performance information, constraint condition and the task of server node have made specific explanations in the above-described embodiments, the present embodiment to this not
It repeats again.
A kind of industrial control method of internet of things oriented provided in this embodiment, passes through holding for central controller decision tasks
Row node can effectively mitigate network data current load, improve information processing efficiency and algorithm speed, reduce by calculating institute
Bring time delay.
Based on the above embodiment, the industrial control method of one of the present embodiment internet of things oriented further include:
S3 receives the implementing result of the task, and according to the parameter of the implementing result and the local production equipment
Information controls the operating status of the local production equipment.
Based on the above embodiment, step S2 is specifically described in the present embodiment.Step S2 is specifically included:
If the constraint condition is that the time-consuming of the execution task is most short, the local computing node is executed into described appoint
The total time-consuming amount of business, the total time-consuming amount for executing the task with the edge calculations server node is compared, by executing
The shorter node of the total time-consuming amount of task is stated, as the execution node；
If the constraint condition is to execute the energy consumption minimum of the task, the local computing node is executed into described appoint
The energy input of business, the energy input for executing the task with the edge calculations server node are compared, and will execute described appoint
The lesser node of the energy input of business, as the execution node；
If the constraint condition is that the time-consuming for executing the task and energy consumption reach optimal balance point, according to the local
Calculate node executes the total time-consuming amount of the task and its weight, the edge calculations server node execute the total of the task
Time-consuming amount and its weight, the local computing node execute energy input and its weight and the edge calculations service of the task
Device node executes the energy input and its weight of the task, determines the execution node.
A kind of industrial control method of internet of things oriented provided in this embodiment can pass through choosing by introducing constraint condition
Different task execution nodes is taken, to realize that task execution time-consuming amount, energy input are minimum or time-consuming measure reaches simultaneously with energy input
Optimal balance point.
Based on the above embodiment, the present embodiment executes the task to edge calculations server node in above-described embodiment
Total time-consuming amount is specifically described.The edge calculations server node executes the total time-consuming amount of the task, passes through following ginseng
Number obtains:
T is measured in the data information transfer of the product to the time-consuming of the edge calculations server nodeTransData, described
Be engaged in the queuing delay amount D in the edge calculations server nodeQueue, the edge calculations server node execution is described to appoint
The time-consuming amount D of businessRemoteWhen the implementing result being sent to the passback of device controller with the edge calculations server node
The amount of prolonging DResult。
As a preferred embodiment, the present embodiment to the industrial control method of the internet of things oriented in above-described embodiment into
Row illustrates.
If constraint condition is that the time-consuming of execution task is most short, the time-consuming that local computing node executes task is calculated separately out
Amount executes the time-consuming of task with edge calculations server node and measures, and the time-consuming amount of the two is compared, and time-consuming amount is shorter
Node as task execution node.Central controller will execute decision process according to following manner:
As satisfaction (1-1), execution node is edge calculations server node；As satisfaction (1-2), executing node is this
Ground calculate node.
Wherein,DLocalThe total time-consuming amount of task, f are executed for local computing nodei lRepresent local computing section
Computer in point calculates frequency (periodicity) for the CPU that i-th of task can be assigned to, CiIt indicates to complete i-th
The computer CPU periodicity that business needs.
Wherein,TTransDataFor product data information transfer to institute
State the time-consuming amount of edge calculations server node, Sl i-DataRefer to the size of task scale, VLocalIndicate local data information
The port speed of sending port, unit Mbps, DiFor the size of data packet, unit byte,In,
W represents local computing node to the bandwidth between edge calculations server node, and unit Mbps, p represent transimission power, hiGeneration
The gain of table channel, N0Indicate the Noise Parameters in channel,For the Signal to Noise Ratio (SNR) of channel.
Wherein,DQueueWhen the queuing for being task in edge calculations server node
The amount of prolonging, ∑ Sr i-DataIndicate the total size of all tasks currently in the processing queue of edge calculations server node task, ∑ Ci
Total periodicity is calculated for the CPU of the required by task in server queue,Edge calculation server node computing capability is represented,
fi rIndicate the CPU calculating cycle number that edge calculations server node is capable of providing.
Wherein,DRemoteThe time-consuming amount of the task, C are executed for edge calculations server nodeiIt indicates
Complete the computer CPU periodicity of i-th of task needs, fi rIndicate that the CPU that edge calculations server node is capable of providing is calculated
Periodicity.
Wherein,SResultIndicate calculated result size, usually, SResultSize meeting
It is proportional to calculative data volume Sl i-Data, i.e. Sl i-DataBigger SResultAlso bigger；VRemoteIndicate Edge Server data
The port speed of information transmitting terminal mouth, unit Mbps.
Based on the above embodiment, local computing node described in the present embodiment executes the energy input W of the taskLocalAre as follows:
WLocal=k (fi l)2Ci；
Wherein, k=10-26,fi lRepresenting the local computing node can for i-th of task
The CPU being assigned to calculates frequency, Fi lIndicate the maximum cpu frequency that computer can reach, CiIndicate that completing i-th of task needs
The computer CPU periodicity wanted, TiIndicate the peak response time delay that i-th of task allows, i is positive integer；
The edge calculations server node executes the energy input W of the taskRemoteAre as follows:
Wherein, PtrFor send and receive the product data information power, DiThe data volume of i-th of task is represented,
VLocalIndicate the port speed of the local data information sending port, i is positive integer.
Specifically, if the constraint condition is to execute the energy consumption minimum of the task.Then calculate separately out local computing section
The energy input and edge calculations server node of point execution task execute the energy input of task, and the energy input of the two is compared
It is right, using the lesser node of energy input as task execution node.Energy consumption refers to various equipment during the work time, in order to support
It calculates, transmission, store and radiate and use electric energy.In factory local, if to improve the computing capability of local computing node, just
It is intended to extend production equipment operating time or increase to calculate equipment, both schemes will lead to equipment energy consumption
It improves, and due to the working characteristics of equipment, distinct device energy consumption is also not quite similar, it is difficult to which logarithm carries out unified quantization；Relatively
In local computing node, the energy consumption of edge calculations server node is not the focal point of user, edge calculations server node
Energy consumption cost be already contained in rental service price.Central controller will execute decision process according to following manner:
As satisfaction (2-1), execution node is edge calculations server node；As satisfaction (2-2), executing node is this
Ground calculate node.
Wherein, WLocalIndicate the energy consumption of local computing node；WRemoteIndicate the energy consumption of edge calculations server node.
Based on the above embodiment, the value range of the weight in the present embodiment is 0~1.
Specifically, if the constraint condition is that the time-consuming for executing the task and energy consumption reach optimal balance point, usually
Different weights is assigned to two kinds of judgment conditions mentioned above, determines final strategy by comprehensively considering.Specific judgement item
Part are as follows:
As satisfaction (3-1), execution node is edge calculations server node；As satisfaction (3-2), executing node is this
Ground calculate node.
Wherein, DLocalThe total time-consuming amount of task, D are executed for local computing nodeRemoteIt is held for edge calculations server node
The total time-consuming amount of row task, WLocalThe energy input of task, W are executed for local computing nodeRemoteFor edge calculations server node
The energy input of execution task, x are weight.
It should be noted that if local production equipment is non-mobile device, since it is mostly to be directly connected to power supply, then
The value range of weight is 0~0.5；If local production equipment is mobile device, since the loss of its power supply is irreversibility,
Then the value range of weight is 0.5~1.
The industrial control system and method for a kind of internet of things oriented provided in this embodiment are appointed by central controller judgement
The execution node of business, can effectively mitigate network data current load, improve information processing efficiency and algorithm speed, reduce due to
Time delay brought by calculating.
Finally, method of the invention is only preferable embodiment, it is not intended to limit the scope of the present invention.It is all
Within the spirit and principles in the present invention, any modification, equivalent replacement, improvement and so on should be included in protection of the invention
Within the scope of.
Claims (6)
1. a kind of industrial control system of internet of things oriented, which is characterized in that acquire equipment, central controller, sheet including local
Ground calculate node and edge calculations server node；
The local acquisition equipment, the data information and the local computing section of the product for acquiring local production equipment production
The performance information of point；
The central controller, for according to the data information of the product, the performance information of the local computing node and institute
The performance information of edge calculations server node is stated, and combines constraint condition, the execution node of decision task is the local meter
Operator node and/or the edge calculations server node；
The local computing node, for executing institute according to the instruction of the central controller and the data information of the product
State task；
The edge calculations server node, for according to the central controller instruction and the product data information,
Execute the task；
If the constraint condition is that the time-consuming of the execution task is most short, the local computing node is executed into the task
Total time-consuming amount, the total time-consuming amount for executing the task with the edge calculations server node are compared, and will execute described appoint
The shorter node of the total time-consuming amount of business, as the execution node；
If the constraint condition is to execute the energy consumption minimum of the task, the local computing node is executed into the task
Energy input, the energy input for executing the task with the edge calculations server node are compared, and will execute the task
The lesser node of energy input, as the execution node；
If the constraint condition is that the time-consuming for executing the task and energy consumption reach optimal balance point, according to the local computing
Node executes the total time-consuming amount of the task and its weight, the edge calculations server node execute the total time-consuming of the task
Amount and its weight, the local computing node execute the energy input and its weight and the edge calculations server section of the task
Point executes the energy input and its weight of the task, determines the execution node；
The edge calculations server node executes the total time-consuming amount of the task, is obtained by following parameter:
T is measured in the data information transfer of the product to the time-consuming of the edge calculations server nodeTransData, the task exists
Queuing delay amount D in the edge calculations server nodeQueue, the edge calculations server node executes the task
Time-consuming amount DRemoteThe implementing result is sent to the passback delay volume of device controller with the edge calculations server node
DResult；
The local computing node executes the energy input W of the taskLocalFor,
WLocal=k (fi l)2Ci；
Wherein, k=10-26,fi lThe computer in the local computing node is represented for i-th of task
The CPU that can be assigned to calculates frequency, Fi lIndicate the maximum cpu frequency that computer can reach, CiIt indicates to complete i-th
The computer CPU periodicity that task needs, TiIndicate the peak response time delay that i-th of task allows, i is positive integer；
The edge calculations server node executes the energy input W of the taskRemoteFor,
Wherein, PtrFor send and receive the product data information power, DiRepresent the data volume of i-th of task, VLocal
Indicate the port speed of the local data information sending port, i is positive integer.
2. system according to claim 1, which is characterized in that the constraint condition is any one in the following conditions:
The time-consuming for executing the task is most short；The energy consumption for executing the task is minimum；The time-consuming and energy consumption for executing the task reach
To optimal balance point.
3. system according to claim 2, which is characterized in that the central controller regularly sends the result of decision to institute
State local computing node and the edge calculations server node.
4. system according to claim 3, which is characterized in that the local acquisition equipment is also used to obtain described local raw
Produce the parameter information of equipment；
The system also includes device controller, the device controller, for receiving the implementing result of the task, and according to
The parameter information of the implementing result and the local production equipment controls the operating status of the local production equipment.
5. a kind of industrial control method of internet of things oriented characterized by comprising
S1 obtains the data information of the product of local production equipment production, the performance information and edge calculations of local computing node
The performance information of server node；
S2, according to the data information of the product, the performance information and the edge calculations server of the local computing node
The performance information of node, and constraint condition is combined, the execution node of decision task is the local computing node and/or the side
Edge calculation server node；
Further include:
S3, receives the implementing result of the task, and according to the parameter information of the implementing result and the local production equipment,
Control the operating status of the local production equipment；
Step S2 is specifically included:
If the constraint condition is that the time-consuming of the execution task is most short, the local computing node is executed into the task
Total time-consuming amount, the total time-consuming amount for executing the task with the edge calculations server node are compared, and will execute described appoint
The shorter node of the total time-consuming amount of business, as the execution node；
If the constraint condition is to execute the energy consumption minimum of the task, the local computing node is executed into the task
Energy input, the energy input for executing the task with the edge calculations server node are compared, and will execute the task
The lesser node of energy input, as the execution node；
If the constraint condition is that the time-consuming for executing the task and energy consumption reach optimal balance point, according to the local computing
Node executes the total time-consuming amount of the task and its weight, the edge calculations server node execute the total time-consuming of the task
Amount and its weight, the local computing node execute the energy input and its weight and the edge calculations server section of the task
Point executes the energy input and its weight of the task, determines the execution node；
The edge calculations server node executes the total time-consuming amount of the task, is obtained by following parameter:
T is measured in the data information transfer of the product to the time-consuming of the edge calculations server nodeTransData, the task exists
Queuing delay amount D in the edge calculations server nodeQueue, the edge calculations server node executes the task
Time-consuming amount DRemoteThe implementing result is sent to the passback delay volume of device controller with the edge calculations server node
DResult；
The local computing node executes the energy input W of the taskLocalFor,
WLocal=k (fi l)2Ci；
Wherein, k=10-26,fi lThe computer in the local computing node is represented for i-th of task
The CPU that can be assigned to calculates frequency, Fi lIndicate the maximum cpu frequency that computer can reach, CiIt indicates to complete i-th
The computer CPU periodicity that task needs, TiIndicate the peak response time delay that i-th of task allows, i is positive integer；
The edge calculations server node executes the energy input W of the taskRemoteFor,
Wherein, PtrFor send and receive the product data information power, DiRepresent the data volume of i-th of task, VLocal
Indicate the port speed of the local data information sending port, i is positive integer.
6. according to the method described in claim 5, it is characterized in that, the value range of the weight is 0~1.
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| CN108804668A (en) * | 2018-06-08 | 2018-11-13 | 珠海格力智能装备有限公司 | Data processing method and device |
| CN108924198B (en) * | 2018-06-21 | 2021-05-11 | 中国联合网络通信集团有限公司 | Data scheduling method, device and system based on edge calculation |
| CN109388116B (en) * | 2018-10-31 | 2021-08-20 | 金蝶软件（中国）有限公司 | Production management method, Internet of things management system and related equipment |
| CN110213327A (en) * | 2019-04-23 | 2019-09-06 | 广东省智能制造研究所 | A kind of resource regulating method based on edge calculations, apparatus and system |
| WO2020252666A1 (en) * | 2019-06-18 | 2020-12-24 | 西门子股份公司 | Edge computing device and method for industrial internet of things, and computer-readable storage medium |
| CN112068954A (en) * | 2020-08-18 | 2020-12-11 | 弥伦工业产品设计(上海)有限公司 | Method and system for scheduling network computing resources |
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