CN112561222A - Intelligent manufacturing and edge network service processing method and device and electronic equipment - Google Patents
Intelligent manufacturing and edge network service processing method and device and electronic equipment Download PDFInfo
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Abstract
The embodiment of the invention provides a processing method, a processing device and electronic equipment for intelligent manufacturing and edge network service, wherein the method comprises the following steps: receiving a production process package issued by a cloud end, and generating a plurality of production tasks according to the production process package; and allocating the production tasks for each gateway node in the edge service network according to the plurality of production tasks and the processing resource condition of each gateway node in the edge network service. According to the edge network service processing method, the edge network service processing device and the electronic equipment, the function of the edge network server is realized by the central gateway node and the non-centralized gateway nodes together, so that the centralized edge network server processing is dispersed to the gateway nodes to share together, but the unified centralized production task allocation can be realized, the advantages of centralization and distribution are achieved, and the processing efficiency of the edge service network is improved.
Description
Technical Field
The application relates to a processing method and device for intelligent manufacturing and edge network service and electronic equipment, and belongs to the technical field of computers.
Background
The MES (Manufacturing Execution System) includes three main parts, namely a cloud part, an edge service network and a processing device. In the prior art, the cloud end is mainly responsible for accepting and issuing production orders. The edge service network is connected between the processing equipment and the cloud end and is responsible for control processing aiming at production, such as order decomposition, resource allocation management, production task scheduling, data acquisition, feedback analysis and the like, and in addition, the edge service network also has the function of disaster recovery backup. Finally, the processing equipment is responsible for specific product processing.
In the prior art, an edge service network adopts a centralized management mode, which comprises a centralized edge network server and a plurality of gateway nodes. The edge network server undertakes most of centralized control work in the edge network service, and the gateway node is mainly responsible for information transmission between the edge network server and the processing equipment.
The edge service network architecture of the prior art has the following defects:
because the centralized edge server bears a large amount of data processing work, when orders are more, the burden of the edge network server is easy to be too heavy, the whole processing efficiency of the MES is seriously influenced, and the centralized edge network server has higher requirements on performance, so that the installation and use cost is very high. In addition, the reliability of the edge server is difficult to guarantee. As a centralized service carrier on the factory side, the stability and reliability requirements for the edge server are particularly high. However, the stability of a single edge server cannot be guaranteed, multiple backup functions are realized by using multiple servers, and the cost requirement of a factory is very high.
Disclosure of Invention
The embodiment of the invention provides a method and a device for processing intelligent manufacturing and edge network service and electronic equipment, which are used for improving the processing efficiency of an edge service network.
In order to achieve the above object, an embodiment of the present invention provides a method for processing an edge network service, including:
receiving a production process package issued by a cloud end, and generating a plurality of production tasks according to the production process package;
and allocating the production tasks to each gateway node in the edge service network according to the plurality of production tasks and the processing resource condition of each gateway node in the edge network service, wherein the processing resource condition comprises that: one or more of the resource of the managed and controlled processing device of the gateway node, the processing data stored in the gateway node, and the load state of the managed and controlled processing device of the gateway node.
An embodiment of the present invention further provides a device for processing edge network services, including:
the cloud interaction module receives a production process package issued by a cloud, and generates a plurality of production tasks according to the production process package;
a production task allocation module, configured to allocate production tasks to each gateway node in the edge service network according to the multiple production tasks and a processing resource status of each gateway node in the edge network service, where the processing resource status includes: one or more of the resource of the managed and controlled processing device of the gateway node, the processing data stored in the gateway node, and the load state of the managed and controlled processing device of the gateway node.
The embodiment of the invention also provides a method for processing the edge network service, which comprises the following steps:
broadcasting node capability information of the edge service network to other gateway nodes in the edge service network, and receiving the node capability information broadcasted by the other gateway nodes, wherein the node capability information comprises: one or more of software/hardware configuration information of the gateway node, resource information of the processing equipment managed and controlled by the gateway node, and processing data information stored in the gateway node;
determining a central gateway node of the edge service network according to production process information and node capability information of the gateway node issued by the cloud, and broadcasting the determined central gateway node information to the edge service network;
the central network joint point is in communication connection with the cloud end and receives the production process packages from the cloud end.
The embodiment of the invention also provides an intelligent manufacturing processing method, which comprises the following steps:
a central gateway node of an edge service network receives a production order issued by a cloud end;
determining a plurality of production tasks based on the production process corresponding to the production order;
and allocating the plurality of generated tasks to corresponding nodes according to the production and processing resource conditions of each node in the edge service network, so that each node can send the received production tasks to connected production equipment for processing.
An embodiment of the present invention further provides an electronic device, including:
a memory for storing a program;
and the processor is used for operating the program stored in the memory so as to execute the processing method of the edge network service.
According to the intelligent manufacturing and edge network service processing method, device and electronic equipment, the function of the edge network server is realized by the central gateway node and the plurality of non-centralized gateway nodes together, namely, a virtual edge network server is constructed by the plurality of gateway nodes of the edge service network, so that the centralized edge network server processing is dispersed to the plurality of gateway nodes to share together, but the unified centralized production task allocation can be realized, the centralized and distributed advantages are achieved, and the processing efficiency of the edge service network is improved.
The foregoing description is only an overview of the technical solutions of the present invention, and the embodiments of the present invention are described below in order to make the technical means of the present invention more clearly understood and to make the above and other objects, features, and advantages of the present invention more clearly understandable.
Drawings
Fig. 1 is a schematic view of an application scenario of an edge service network according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a processing method of an edge network service according to an embodiment of the present invention;
fig. 3 is a schematic process flow diagram of determining a central gateway node according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a processing device of an edge network service according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The technical solution of the present invention is further illustrated by some specific examples.
The embodiment of the invention provides a distributed edge service network architecture constructed based on a peer-to-peer network. Fig. 1 is a schematic view of an application scenario of an edge service network according to an embodiment of the present invention. The edge service network is arranged between the cloud and the specific processing equipment. The whole edge service network consists of a plurality of peer gateway nodes, a fixed centralized edge network server is not arranged in the edge service network, and the central gateway node is determined by the plurality of peer gateway nodes in a dynamic election mode. The election strategy can carry out regular dynamic election according to factors such as processing performance, running state and the like of each gateway node. The functions of the centralized edge network server in the prior art are no longer realized by one server, but are realized together by each gateway node in the edge service network.
The central gateway node plays a role of a centralized server, is in butt joint with a cloud end on one hand to perform data interaction, generates a plurality of production tasks according to data issued by the cloud end on the other hand, and then performs production task allocation on each non-central gateway node.
And the non-central gateway node is mainly used for controlling the production process of the processing equipment connected with the non-central gateway node according to task allocation of the central gateway node. After the central gateway node is determined, the central gateway node itself can also be used as a non-central gateway node to control the production process of the processing equipment connected with the central gateway node, that is, the central gateway node can also play a dual role at the same time. In addition, each processing device can be not only in communication connection with one gateway node, but also in communication connection with a plurality of gateway nodes, so that the production process control relation between the non-central gateway node and the processing device can be matched as required.
The gateway node in the embodiment of the invention can adopt E2D (Easy to Deploy) gateway equipment as the gateway node, wherein the E2D technology is a set of product suite and technical system combining software and hardware, and the E2D suite can help a factory to carry out digital transformation on the whole production link, thereby solving the technical bottleneck of the factory to the industrial internet. The method comprises the following steps: digital acquisition, automatic control, man-machine interaction, production scheduling, edge end and cloud equipment management and the like. The E2D gateway device can digitize devices in the factory, so that the gateway device has IoT (Internet of things) capability and can be smoothly connected to the Internet.
It can be seen from the above edge network service mechanism that the function of the edge network server in the prior art is implemented by a central gateway node and a plurality of non-centralized gateway nodes, which is equivalent to constructing a virtual edge network server by using a plurality of gateway nodes of the edge service network, so that the centralized edge network server processing is distributed to a plurality of gateway nodes for sharing, but the unified centralized production task allocation can be implemented, and both centralized and distributed advantages are achieved. In addition, the central gateway node is determined based on a dynamic election mechanism and can be dynamically determined according to the real-time performance and the state of each gateway node in the edge service network, so that the processing efficiency and the stability of the central gateway node can be ensured, and the whole edge service network can normally work.
Further, MES transactions include transactions with higher real-time requirements and transactions with relatively lower real-time requirements. Transactions that require high real-time: such as those that control process production to process equipment, which are irreversible. Transactions with relatively low real-time requirements: for example, the order is optimized, the production process data is collected and analyzed, and the like, which are equivalent to preparation work before production, can be modified according to actual conditions, and belong to reversible affairs.
In order to more reasonably utilize the resources of the edge service network, in the embodiment of the invention, MES transactions with low real-time requirement are put in the cloud for processing, so that the burden of a central gateway node of a centralized role and the burden of the whole edge service network are reduced.
Non-real-time MES transactions primarily involve order-based optimization of production process schedules. The cloud end is directly in butt joint with a user, receives a production order, and then carries out scheduling optimization based on analysis of the production order to form a production process package. The scheduling optimization can be used for disassembling a plurality of orders, and each processing link is reasonably scheduled according to the production process characteristics required by each order, so that the processing efficiency and the material utilization can be maximized. The finally formed production process package comprises the production tasks to be executed by the processing equipment, and the cloud end issues the production process package to the central gateway node.
The central gateway node is mainly used for processing the affairs with higher real-time requirements, and mainly comprises a cloud end for maintaining data interaction, disassembling a production process package issued by the cloud end, allocating production tasks and distributing the production tasks to all gateway nodes. And each gateway node is responsible for controlling the processing equipment connected with the gateway node so as to realize the production of products.
Furthermore, in the embodiment of the present invention, the centralized gateway node and the decentralized gateway node have a difference in data storage and information interaction mechanism according to their roles, so as to more effectively utilize the resources of the edge service network.
The central gateway node is more focused on the allocation of production tasks, so that for the central gateway node, only data related to task allocation needs to be acquired, and all production data of processing equipment in the production process does not need to be acquired.
Therefore, the central gateway node does not store all the production process data of each processing device, but only acquires the production state data to perform task allocation, where the production state data refers to the production state of the processing device, such as the processing progress of the current process, the completion of the processing procedure, the processing preparation, the idle state, and the like. After the central gateway node acquires the real-time production state data, reasonable production task allocation can be carried out according to the characteristics of the production tasks and the states of all processing equipment. The production state data is part of or extracted from the production process data.
The production process data may include all operation data in the operation process of the equipment, and these data may be used for subsequent production process analysis, maintenance of the processing equipment, fault analysis, and the like, but because the data volume of the production process data is large, if the data is transmitted to the central gateway node, a huge burden of the central gateway node is inevitably caused, and therefore, the production process data of the processing equipment may be stored in a local gateway node, where the local gateway node is a gateway node having a direct control relationship with the processing equipment.
Based on the data storage mechanism, the production process data with large data volume is stored in the gateway nodes correspondingly connected with the processing equipment, so that the pressure of the central gateway node and the pressure of data transmission are reduced. Based on the mechanism, production process data of the processing equipment is actually stored in each gateway node in a scattered manner, when a part of gateway nodes are in fault, only a part of production process data is damaged, in the prior art, the production process data is stored in the edge network server, and once a problem occurs, all the production process data is damaged. In addition, based on the edge service network of the peer-to-peer network architecture, some data backup mechanisms can be flexibly designed, and the production process data of the local processing equipment stored in each gateway node is backed up on other gateway nodes, so that the data security and reliability are further ensured.
As described above, the overall architecture of the edge service network according to the embodiment of the present invention is that, as described above, the central gateway node and the non-central gateway node are only divided into roles, and each gateway node is likely to serve as a central gateway node in the edge service network, and the role is determined by a preset election policy, where the election policy is mainly based on dynamic evaluation of processing capabilities of each gateway node.
Specifically, for each gateway node, the following process of determining the central gateway node is performed periodically (for example, once every 1 hour) or in response to some trigger condition:
each gateway node broadcasts its own node capability information to other gateway nodes, and receives node capability information of other gateway nodes, where the node capability information has real-time performance and may include, for example, cpu usage rate, memory occupancy rate, data transmission rate, and the like.
Each gateway node compares the self capacity state with the capacity states of other gateway nodes according to a preset capacity evaluation algorithm, judges whether the self can be used as a central gateway node of the edge service network, broadcasts central gateway node information to other gateway nodes if the self can be used as the central gateway node, and establishes communication connection with a cloud terminal, otherwise, waits for receiving the central gateway node information from other gateway nodes.
The central gateway node is determined in a dynamic manner, on one hand, to effectively utilize the computing resources of the edge service network and enable the gateway node with better capability state to serve as the role of the central gateway node, and on the other hand, to avoid the central gateway node from having problems and influencing the data processing of the whole edge service network. Therefore, besides the processing flow for determining the central gateway node is triggered at regular time, the operation condition of the central gateway node is also detected, and when the central gateway node is found to be abnormal, the processing flow for re-determining the central gateway node is triggered in time. Specifically, each gateway node may directly establish a heartbeat connection, and when the heartbeat connection with the central gateway node is abnormal, a processing procedure for re-determining the central gateway node is triggered.
In addition, the processing method of the edge network service in the embodiment of the invention can also be applied to scenes other than processing and manufacturing. In many service fields, different resources need to be allocated according to orders to realize efficient cooperative operation of each resource, and aiming at the resource application scene with small granularity occurring in real time, the technical idea in the embodiment of the invention can be adopted to allocate and control the resources, wherein the cloud performs processing flow and task arrangement based on the order requirements, and then performs task allocation according to the processing flow and task data issued by the cloud after a central gateway node is determined in the edge service network, so as to realize efficient utilization of the resources.
In a typical application scenario, for example, medical care, a cloud-based medical platform collects various medical orders, where the medical orders mainly refer to the needs of a user for seeing a doctor order, and the cloud-based medical platform can perform scheduling optimization on a large number of medical orders to form different medical task packages, where the medical task packages include medical tasks for multiple links of multiple patients, and for example, different patients may need to receive processing including: examination, diagnosis, surgery, rehabilitation, etc. Each hospital can be configured with one or more gateway nodes, the gateway nodes of the plurality of hospitals form an edge service network, the gateway nodes adopt the mechanism provided by the embodiment of the invention to dynamically elect a central gateway node, and then the central gateway node performs unified medical task allocation according to the resource states of personnel, equipment, wards and the like of each hospital, thereby realizing the efficient utilization of medical voluntary.
Example one
As shown in fig. 2, which is a schematic flowchart of a processing method of an edge network service according to an embodiment of the present invention, the method includes:
s101: and determining a central gateway node in an edge service network according to a preset strategy, wherein the edge service network consists of a plurality of peer gateway nodes. The preset strategy is mainly used for determining the gateway node suitable for serving as the central gateway node based on the capability state evaluation of each gateway node. Because the transactions processed by each gateway node are not constant, the capability state evaluation provided by the embodiment of the present invention also has a certain real-time property, that is, a gateway node with a stronger capability state in the current period of time is selected as a central gateway node. The capability states referred to herein may include: fixed hardware capability configuration (such as CPU model, memory size and the like), hardware use state (such as CPU occupancy rate, memory occupancy rate and the like), system operation state (system type in a gateway node, system operation fluency, interface bandwidth limitation, number of threads in operation and the like), the number of connected processing equipment and the like. In short, the capability evaluation of each gateway node can comprehensively consider a plurality of factors according to actual needs to determine the central gateway node meeting the actual needs.
In addition, the determination processing procedure of the central gateway node may be performed in a dynamic manner, may be performed periodically, or may be initiated based on a certain trigger condition. Since the role of the central gateway node is very important, if an abnormality occurs, the central gateway node must be switched to other gateway nodes to execute the abnormality. In order to better cope with the abnormity, heartbeat connection is established between the non-central gateway node and the central gateway node, and when the heartbeat connection is abnormal, the processing of determining the central gateway node in the edge service network according to a preset strategy is triggered and executed.
It should be noted that the above determination process of the central gateway node may be regarded as a preparation process for the edge service network to start executing the processing task, that is, after the role of the central gateway node is determined, the central gateway node will repeatedly execute the processes of steps S102 and S103 for a while, and the non-central gateway node will execute the process of step S104.
S102: and the central gateway node receives the data issued by the cloud end and generates a production task according to the data issued by the cloud end. The central gateway node plays a role of a centralized server, one of the main functions is to perform data interaction with the cloud, receive various data issued by the cloud, and report various production data to the cloud. The data sent by the cloud may be a production process package generated by the cloud.
S103: and the central gateway node allocates the production tasks to the gateway nodes connected with the processing equipment in the edge service network according to the production tasks and the processing resource conditions of the gateway nodes in the edge network service. Wherein, the processing resource status may include: one or more of the resource of the managed and controlled processing device of the gateway node, the processing data stored in the gateway node, and the load state of the managed and controlled processing device of the gateway node. Because different gateway nodes may correspond to different factories or different production areas, and the resource conditions of the processing equipment of each part are different, the conditions of the processing equipment resources corresponding to the gateway nodes can be fully considered when tasks are allocated, so that the processing tasks can be reasonably allocated.
The other main function of the central gateway node is to perform task allocation on other non-central gateway nodes according to data issued by the cloud, so as to trigger actual production operation. It should be noted that, in the embodiment of the present invention, the central gateway node and the non-central gateway node are only divided in role, and since the central gateway node is also a common node in the edge service network and is also connected to and controls some processing devices, the central gateway node itself may have dual identities, on one hand, the central gateway node is used as the central gateway node to perform centralized task deployment, and on the other hand, the central gateway node is also used as the non-central gateway node in the edge service network to receive task deployment. In addition, after the central gateway node performs the production task allocation, each gateway node may further perform the following step S104 to perform the production task.
S104: and receiving the production task from the central gateway node, controlling the processing equipment connected with the central gateway node according to the production task, and executing the production task.
Furthermore, in the embodiment of the invention, the transactions processed by the cloud and the edge service network can be more reasonably allocated, the MES transaction with low real-time requirement is put into the cloud for processing, and the edge service network only processes the transaction with high real-time requirement.
The cloud end is in charge of being in butt joint with a user, receiving a production order, scheduling production of the production process according to the production order, generating a production process package, and sending the production process package to a central gateway node in the edge network service. The production process package may include processing tasks that each specific processing device needs to execute, and these processing tasks may be industrial control code files and the like, and may be compressed according to a certain rule to reduce the amount of data transmitted. The central gateway node receives the production process package, and can decompose the production process package so as to obtain the specific processing tasks contained in the production process package.
After the production process package is decomposed, the central gateway node can acquire a plurality of specific processing tasks, and the central gateway node can allocate each production task to a specific non-central gateway node according to the idle condition of each processing device and the control relationship between each processing device and each non-central gateway node. The production task allocation may specifically be performed according to the type of the processing equipment required by the processing task, the idle status of each processing equipment, and the network location (corresponding to the non-central gateway node) where each processing equipment is located. In addition, the cloud scheduling optimization can also refine the specific processing task to correspond to the specific processing equipment, and in this case, the central gateway node only needs to allocate according to the gateway node corresponding to the processing equipment, that is, the processing task is issued to the non-central gateway node corresponding to the processing equipment, so as to trigger the execution of the processing task.
And after each non-central gateway node receives the production task allocated by the central gateway node, the non-central gateway node controls the processing equipment connected with the non-central gateway node according to the production task so as to execute the production task.
In addition, in the aspect of data storage and reporting, all production process data do not need to be concentrated on the edge server as in the prior art. In the embodiment of the invention, the production process data of the processing equipment can be recorded in the non-central gateway node connected with the processing equipment, and only the production state data is reported to the central gateway node. The production state data can be contained in the production process data or extracted from the production process data, and the central gateway node can know the completion condition of the processing equipment on the production task through the production state data, so that subsequent production task allocation is performed. The entire production process data of the processing plant can be stored only in the local (with respect to the processing plant) gateway node and retrieved as needed. The data distribution mode is favorable for reducing the data storage pressure and the data transmission pressure of the central gateway node, and meanwhile, the distributed data storage mode has strong disaster tolerance capability.
As can be seen from the above division of labor, in the embodiment of the present invention, the central gateway node focuses on communication with the cloud and production task allocation, and is not responsible for controlling specific processing equipment, that is, only processing the transaction requiring centralized processing. The realization of the processing technology is finished by controlling specific processing equipment by specific non-central gateway nodes, and by the mechanism, the computing resources of each gateway node are fully utilized, the functions executed by the edge network server in the prior art are dispersed to the central gateway node and a plurality of non-central gateway nodes to be finished together, and equivalently, the whole edge service network is utilized to virtualize an efficient edge network server.
In addition, it should be noted that the central gateway node and the non-central gateway node are only role divisions, and the central gateway node may also have a function of a non-central gateway node, that is, the central gateway node itself may serve as a central gateway node and may also serve as a non-central gateway node in the edge service network, and receive the production task to perform control processing on the processing device connected to the central gateway node, so as to execute the production task.
The overall operation of the edge service network according to the embodiment of the present invention is described above, and a processing procedure for determining the central gateway node is further described below. As shown in fig. 3, which is a schematic view of a processing flow of determining a central gateway node according to an embodiment of the present invention, the determination process of the central gateway node may participate in the determination through each gateway node, which is equivalent to electing to generate the central gateway node. Specifically, each gateway node may perform the following:
s1011: broadcasting the node capability information of the gateway node to other gateway nodes in the edge service network, and receiving the node capability information broadcasted by other gateway nodes.
S1012: and judging whether the self can be used as a central gateway node of the edge service network or not according to a preset capability evaluation algorithm and node capability information of each gateway node in the edge service network, if so, executing S1013, otherwise, executing S1014.
S1013: and broadcasting the central gateway node information to other gateway nodes, and establishing communication connection with the cloud, wherein the current gateway node is qualified as the central gateway node and starts to execute the role of centralized processing.
S1014: waiting for receiving the central gateway node information from other gateway nodes, in which case there must be a gateway node that meets the capability requirement of the central gateway node, while the role of the current gateway node is qualified as a non-central gateway node.
The above processing procedure for determining the central gateway node is only an example, and other manners may also be adopted for determining, for example, the capability states of the gateway nodes may be reported to the cloud, the central gateway node is determined by the cloud according to a preset policy, and in addition, an idle node may be set to evaluate the capability states of the gateway nodes, so as to determine the central gateway node comprehensively.
The edge network service processing method of the embodiment of the invention realizes the function of the edge network server by the central gateway node and a plurality of non-centralized gateway nodes together, which is equivalent to constructing a virtual edge network server by utilizing a plurality of gateway nodes of the edge service network, thereby dispersing the processing of the centralized edge network server to a plurality of gateway nodes for sharing together, but simultaneously realizing the uniform centralized production task allocation, having both centralized and distributed advantages and improving the processing efficiency of the edge service network.
Example two
Fig. 4 is a schematic structural diagram of a processing apparatus of an edge network service according to an embodiment of the present invention, where the apparatus may be disposed in each peer gateway node in an edge service network. Each gateway node may be determined as a central gateway node or as a non-central gateway node, and the modules shown in fig. 4 determine whether to perform corresponding functions according to specific roles.
As shown in fig. 4, the processing apparatus of the edge network service includes the following modules for performing the functions of the central gateway node:
and the cloud interaction module 21 is configured to receive data sent by a cloud, and generate a production task according to the data sent by the cloud. The data sent by the cloud may be a production process package generated by the cloud. As described above, the transactions processed by the cloud and the edge service network can be more reasonably allocated, the MES transaction with low real-time requirement is put into the cloud for processing, and the edge service network only processes the transaction with high real-time requirement.
The cloud end is in charge of being in butt joint with a user, receiving a production order, scheduling production of the production process according to the production order, generating a production process package, and sending the production process package to a central gateway node in the edge network service. Correspondingly, generating the production task according to the data issued by the cloud may specifically include: and collecting the production process package issued by the cloud end, and decomposing the production process package into a plurality of production tasks.
And the production task allocation module 22 is configured to allocate the production tasks to the gateway nodes connected to the processing equipment in the edge service network according to the production tasks and the processing resource status of each gateway node in the edge network service. Wherein, the processing resource status may include: one or more of the resource of the managed and controlled processing device of the gateway node, the processing data stored in the gateway node, and the load state of the managed and controlled processing device of the gateway node.
Because different gateway nodes may correspond to different factories or different production areas, and the resource conditions of the processing equipment of each part are different, the conditions of the processing equipment resources corresponding to the gateway nodes can be fully considered when tasks are allocated, so that the processing tasks can be reasonably allocated. In addition, it should be noted that, in the embodiment of the present invention, the central gateway node and the non-central gateway node are only divided in role, and since the central gateway node itself is also a common node in the edge service network, and is also connected to and manages some processing devices, the central gateway node itself may have dual identities, on one hand, as the central gateway node to perform centralized task deployment, and on the other hand, as the non-central gateway node in the edge service network to receive task deployment.
After the production process package is decomposed, the central gateway node can acquire a plurality of specific processing tasks, and the central gateway node can allocate each production task to a specific gateway node according to the idle condition of each processing device and the control relationship between each processing device and each gateway node. The production task allocation can be specifically allocated according to the type of the processing equipment required by the processing task, the idle state of each processing equipment and the network position (corresponding relation with the non-central gateway node) where each processing equipment is located. In addition, the cloud scheduling optimization can also refine the specific processing task to correspond to the specific processing equipment, and in this case, the central gateway node only needs to allocate according to the gateway node corresponding to the processing equipment, that is, the processing task is issued to the non-central gateway node corresponding to the processing equipment, so as to trigger the execution of the processing task.
The two modules described above are processing modules that function when the gateway node is acting as a central gateway node. In addition, the apparatus may further include a module that functions when the gateway node is a non-central gateway node, and specifically includes:
and the production task receiving module 23 is configured to receive the production task from the central gateway node.
And the production task control module 24 is used for controlling the processing equipment connected with the production task according to the production task and executing the production task.
Further, the apparatus may further include a processing module for recording and reporting data when serving as a non-central gateway node, and specifically includes:
and the production process data recording module 25 is used for recording the production process data of the processing equipment.
And the production state data report 26 is used for extracting the production state data from the production process data and reporting the production state data to the central gateway node.
The production state data can be contained in the production process data or extracted from the production process data, and the central gateway node can know the completion condition of the processing equipment on the production task through the production state data, so that subsequent production task allocation is performed. The entire production process data of the processing plant can be stored only in the local (with respect to the processing plant) gateway node and retrieved as needed. The data distribution mode is favorable for reducing the data storage pressure and the data transmission pressure of the central gateway node, and meanwhile, the distributed data storage mode has strong disaster tolerance capability.
In addition, as any one of the gateway nodes, a central gateway node determining module 27 may be further included, configured to determine, according to a preset policy, a central gateway node in the edge service network. The specific processing performed by the central gateway node determining module may specifically include:
broadcasting node capability information of the gateway node to other gateway nodes in the edge service network;
receiving node capability information broadcast by other gateway nodes;
judging whether the self can be used as a central gateway node of the edge service network or not according to a preset capability evaluation algorithm and node capability information of each gateway node in the edge service network, if so, broadcasting the central gateway node information to other gateway nodes and establishing communication connection with a cloud end, and otherwise, waiting for receiving the central gateway node information from other gateway nodes.
The heartbeat connection can be established between the non-central gateway node and the central gateway node, the central gateway node determining module 27 can monitor the heartbeat connection, and when the heartbeat connection is abnormal, the processing of determining the central gateway node in the edge service network according to a preset strategy is triggered and executed.
The edge network service processing device of the embodiment of the invention realizes the function of the edge network server by the central gateway node and a plurality of non-centralized gateway nodes together, which is equivalent to constructing a virtual edge network server by utilizing a plurality of gateway nodes of the edge service network, thereby dispersing the processing of the centralized edge network server to a plurality of gateway nodes for sharing together, but simultaneously realizing the uniform centralized production task allocation, having both centralized and distributed advantages and improving the processing efficiency of the edge service network.
EXAMPLE III
The embodiment of the invention also provides a processing method of the edge network service, which mainly runs on each gateway node in the edge service network and dynamically determines the central gateway node based on the negotiation mechanism of each gateway node according to the preset rule. Specifically, the method comprises the following steps:
s201: broadcasting node capability information of the edge service network to other gateway nodes in the edge service network, and receiving the node capability information broadcasted by the other gateway nodes, wherein the node capability information comprises: one or more of software/hardware configuration information of the gateway node, resource information of the processing equipment managed by the gateway node, and processing data information stored in the gateway node.
S202: and determining a central gateway node of the edge service network according to the production process information and the node capability information of the gateway node issued by the cloud, and broadcasting the determined central gateway node information to the edge service network. Each gateway node in the whole edge service network can be comprehensively evaluated on the basis of the same preset strategy so as to determine the gateway node which is suitable for being used as the central gateway node at present. For the policy of determining the central gateway node, on one hand, the processing capability of each gateway node may be considered, and here, various configurations in terms of hardware and software may be designed. On the other hand, it needs to be reasonably determined by combining the currently executed production process, for example, the current production process may need a production and processing center with a larger scale, and then the corresponding main gateway node of the production and processing center (a large processing center may have multiple gateway nodes) may be used as the central gateway node. For another example, in the current production process, a plurality of different types of processing centers are required to cooperate with operation, and information interaction is frequent, so that a gateway node which is idle in the edge service network can be preferentially selected as a central gateway node, so that information interaction processing is effectively performed.
S203: the central network joint point is in communication connection with the cloud end and receives the production process packages from the cloud end. After the central gateway node is determined, the central gateway node can be in butt joint with a cloud end, on one hand, the production process packet is received and decomposed, and on the other hand, tasks are allocated to all gateway nodes in the edge service network.
In the method for processing edge network service of this embodiment, the function of the edge network server is jointly implemented by the central gateway node and the plurality of non-centralized gateway nodes, and the central gateway node is dynamically elected according to the characteristics of the production process and the resource status of each gateway node through a dynamic negotiation mechanism, so that a virtual edge network server is constructed by fully utilizing the node resources of the edge network, and thus, the centralized edge network server processing is dispersed to the plurality of gateway nodes to share together, but unified centralized production task allocation can be realized at the same time, thereby having both centralized and distributed advantages and improving the processing efficiency of the edge network.
Example four
The embodiment of the invention also provides a processing method for intelligent manufacturing, which utilizes an edge service network to realize intelligent decomposition and allocation of orders so as to realize intelligent manufacturing, and specifically comprises the following steps:
s301: and the central gateway node of the edge service network receives the production order issued by the cloud. The cloud provides interaction functions with the edge service networks, and after the user orders are obtained, the user orders are sent to the central gateway nodes of the edge service networks connected with the processing equipment of the factory.
S302: and determining a plurality of production tasks based on the production process corresponding to the production order. The production process is different for different orders, so different production tasks can be corresponded. Particularly in the case of a batch order, the production process can reasonably arrange various process flows according to the specific processing content of the batch order, so as to maximize the efficiency. The production process can be from a cloud terminal, arranged and issued to the central gateway node together with the order, or configured in the edge service network in advance, and the corresponding production process is obtained according to different order contents.
S303: and allocating the plurality of generating tasks to corresponding nodes according to the production and processing resource conditions of each node in the edge network, so that each node can send the received production tasks to connected production equipment for processing. As previously introduced, process resource status may include: one or more of the resource of the managed and controlled processing device of the gateway node, the processing data stored in the gateway node, and the load state of the managed and controlled processing device of the gateway node.
According to the processing method for intelligent manufacturing, disclosed by the embodiment of the invention, aiming at the production order issued by the cloud, the edge service network formed by the plurality of nodes can carry out task allocation according to the production and processing resource condition of each node, so that the intelligent production and manufacturing are realized, and the production and processing efficiency is improved.
EXAMPLE five
The foregoing embodiment describes a processing flow and a device structure of an edge network service, and the functions of the method and the device can be implemented by an electronic device, as shown in fig. 5, which is a schematic structural diagram of the electronic device according to an embodiment of the present invention, and specifically includes: a memory 110 and a processor 120.
And a memory 110 for storing a program.
In addition to the programs described above, the memory 110 may also be configured to store other various data to support operations on the electronic device. Examples of such data include instructions for any application or method operating on the electronic device, contact data, phonebook data, messages, pictures, videos, and so forth.
The memory 110 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The processor 120, coupled to the memory 110, is used for executing the program in the memory 110 to perform the operation steps of the processing method of the edge network service described in the foregoing embodiments.
Further, the processor 120 may also include various modules described in the foregoing embodiments to perform the processing of the edge network service, and the memory 110 may be used for storing data required for the modules to perform operations and/or output data, for example.
The detailed description of the above processing procedure, the detailed description of the technical principle, and the detailed analysis of the technical effect are described in the foregoing embodiments, and are not repeated herein.
Further, as shown, the electronic device may further include: communication components 130, power components 140, audio components 150, display 160, and other components. Only some of the components are schematically shown in the figure and it is not meant that the electronic device comprises only the components shown in the figure.
The communication component 130 is configured to facilitate wired or wireless communication between the electronic device and other devices. The electronic device may access a wireless network based on a communication standard, such as WiFi, a mobile communication network, such as 2G, 3G, 4G/LTE, 5G, or a combination thereof. In an exemplary embodiment, the communication component 130 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 130 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
The power supply component 140 provides power to the various components of the electronic device. The power components 140 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for an electronic device.
The audio component 150 is configured to output and/or input audio signals. For example, the audio component 150 includes a Microphone (MIC) configured to receive external audio signals when the electronic device is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 110 or transmitted via the communication component 130. In some embodiments, audio assembly 150 also includes a speaker for outputting audio signals.
The display 160 includes a screen, which may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (15)
1. A method for processing edge network services comprises the following steps:
receiving a production process package issued by a cloud end, and generating a plurality of production tasks according to the production process package;
and allocating the production tasks to each gateway node in the edge service network according to the plurality of production tasks and the processing resource condition of each gateway node in the edge network service, wherein the processing resource condition comprises that: one or more of the resource of the managed and controlled processing device of the gateway node, the processing data stored in the gateway node, and the load state of the managed and controlled processing device of the gateway node.
2. The method of claim 1, further comprising: the cloud carries out production scheduling on the production process according to the production order to generate the production process package; and sending the production process packet to a central gateway node in the edge network service.
3. The method of claim 1, further comprising:
receiving a production task from the central gateway node;
and controlling the processing equipment connected with the production task according to the production task, and executing the production task.
4. The method of claim 3, further comprising:
recording production process data of processing equipment connected with the processing equipment;
and extracting production state data from the production process data and reporting the production state data to the central gateway node.
5. The method of claim 1, further comprising:
and determining a central gateway node in the edge service network according to a preset strategy.
6. The method of claim 5, wherein determining a central gateway node in the edge services network according to a preset policy comprises: each gateway node in the edge service network performs the following processing:
broadcasting node capability information of the gateway node to other gateway nodes in the edge service network;
receiving node capability information broadcast by the other gateway nodes;
judging whether the gateway node can be used as a central gateway node of the edge service network or not according to a preset capability evaluation algorithm and node capability information of each gateway node, if so, broadcasting the central gateway node information to other gateway nodes and establishing communication connection with a cloud end, and otherwise, waiting for receiving the central gateway node information from other gateway nodes.
7. The method of claim 5, further comprising:
and establishing heartbeat connection between the non-central gateway node and the central gateway node, and triggering and executing the processing of determining the central gateway node in the edge service network according to a preset strategy when the heartbeat connection is abnormal.
8. A processing apparatus of an edge network service, comprising:
the cloud interaction module receives a production process package issued by a cloud, and generates a plurality of production tasks according to the production process package;
a production task allocation module, configured to allocate production tasks to each gateway node in the edge service network according to the multiple production tasks and a processing resource status of each gateway node in the edge network service, where the processing resource status includes: one or more of the resource of the managed and controlled processing device of the gateway node, the processing data stored in the gateway node, and the load state of the managed and controlled processing device of the gateway node.
9. The apparatus of claim 8, further comprising:
the production task receiving module is used for receiving the production tasks allocated by the central gateway node;
and the production task control module is used for controlling the processing equipment connected with the production task according to the production task and executing the production task.
10. The apparatus of claim 8, further comprising:
and the central gateway node determining module is used for determining the central gateway node in the edge service network according to a preset strategy.
11. The apparatus of claim 10, wherein determining to determine the central gateway node in the edge service network according to a preset policy comprises:
broadcasting node capability information of the gateway node to other gateway nodes in the edge service network;
receiving node capability information broadcast by the other gateway nodes;
judging whether the edge service network can be used as a central gateway node of the edge service network or not according to a preset capability evaluation algorithm and node capability information of each gateway node in the edge service network, if so, broadcasting the central gateway node information to other gateway nodes and establishing communication connection with a cloud end, otherwise, waiting for receiving the central gateway node information from other gateway nodes.
12. The apparatus of claim 8, further comprising:
the production process data recording module is used for recording the production process data of the processing equipment;
and the production state data reporting module is used for extracting the production state data from the production process data and reporting the production state data to the central gateway node.
13. A method for processing edge network services comprises the following steps:
broadcasting node capability information of the edge service network to other gateway nodes in the edge service network, and receiving the node capability information broadcasted by the other gateway nodes, wherein the node capability information comprises: one or more of software/hardware configuration information of the gateway node, resource information of the processing equipment managed and controlled by the gateway node, and processing data information stored in the gateway node;
determining a central gateway node of the edge service network according to production process information and node capability information of the gateway node issued by the cloud, and broadcasting the determined central gateway node information to the edge service network;
the central network joint point is in communication connection with the cloud end and receives the production process packages from the cloud end.
14. A process for smart manufacturing, comprising:
a central gateway node of an edge service network receives a production order issued by a cloud end;
determining a plurality of production tasks based on the production process corresponding to the production order;
and allocating the plurality of generated tasks to corresponding nodes according to the production and processing resource conditions of each node in the edge service network, so that each node can send the received production tasks to connected production equipment for processing.
15. An electronic device, comprising:
a memory for storing a program;
a processor for operating the program stored in the memory to execute the processing method of the edge network service according to any one of claims 1 to 7, 13 and 14.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113256162A (en) * | 2021-06-21 | 2021-08-13 | 上海交大智邦科技有限公司 | Cloud edge cooperative and flexible distributed manufacturing control method and software system thereof |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110013539A1 (en) * | 2009-07-17 | 2011-01-20 | Boeing Company, A Corporation Of Delaware | System and method for managing internetwork communications among a plurality of networks |
| US20110199969A1 (en) * | 2010-02-18 | 2011-08-18 | Telefonaktiebolaget L M Ericsson (Publ) | GTPv2 NODE |
| US20130148492A1 (en) * | 2011-12-08 | 2013-06-13 | Htc Corporation | Method of Handling Delayed Signaling of Target Mobile device |
| US20140355420A1 (en) * | 2013-05-30 | 2014-12-04 | Wistron Neweb Corporation | Method of Establishing Smart Architecture Cell Mesh (SACM) Network |
| EP2892183A1 (en) * | 2014-01-07 | 2015-07-08 | Alcatel Lucent | Enablement of service level agreement negotiation |
| US20170237863A1 (en) * | 2016-02-16 | 2017-08-17 | Saguna Networks Ltd. | Methods Circuits Devices Systems and Functionally Associated Computer Executable Code to Support Edge Computing on a Communication Network |
| CN107211038A (en) * | 2014-12-01 | 2017-09-26 | 瑞典爱立信有限公司 | ENF for NFVI is selected |
| CN107493334A (en) * | 2017-08-18 | 2017-12-19 | 西安电子科技大学 | A kind of cloud and mist calculating network framework and the method for strengthening cloud and mist network architecture reliability |
| CN107657360A (en) * | 2017-08-16 | 2018-02-02 | 浙江力太科技有限公司 | A kind of method that real time data cooperates with industrial Internet of Things |
| CN109672723A (en) * | 2018-10-24 | 2019-04-23 | 国网河北省电力有限公司雄安新区供电公司 | Comprehensive energy application service system |
| CN110209716A (en) * | 2018-02-11 | 2019-09-06 | 北京华航能信科技有限公司 | Intelligent internet of things water utilities big data processing method and system |
-
2019
- 2019-09-26 CN CN201910920068.4A patent/CN112561222A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110013539A1 (en) * | 2009-07-17 | 2011-01-20 | Boeing Company, A Corporation Of Delaware | System and method for managing internetwork communications among a plurality of networks |
| US20110199969A1 (en) * | 2010-02-18 | 2011-08-18 | Telefonaktiebolaget L M Ericsson (Publ) | GTPv2 NODE |
| US20130148492A1 (en) * | 2011-12-08 | 2013-06-13 | Htc Corporation | Method of Handling Delayed Signaling of Target Mobile device |
| US20140355420A1 (en) * | 2013-05-30 | 2014-12-04 | Wistron Neweb Corporation | Method of Establishing Smart Architecture Cell Mesh (SACM) Network |
| EP2892183A1 (en) * | 2014-01-07 | 2015-07-08 | Alcatel Lucent | Enablement of service level agreement negotiation |
| CN107211038A (en) * | 2014-12-01 | 2017-09-26 | 瑞典爱立信有限公司 | ENF for NFVI is selected |
| US20170237863A1 (en) * | 2016-02-16 | 2017-08-17 | Saguna Networks Ltd. | Methods Circuits Devices Systems and Functionally Associated Computer Executable Code to Support Edge Computing on a Communication Network |
| CN107657360A (en) * | 2017-08-16 | 2018-02-02 | 浙江力太科技有限公司 | A kind of method that real time data cooperates with industrial Internet of Things |
| CN107493334A (en) * | 2017-08-18 | 2017-12-19 | 西安电子科技大学 | A kind of cloud and mist calculating network framework and the method for strengthening cloud and mist network architecture reliability |
| CN110209716A (en) * | 2018-02-11 | 2019-09-06 | 北京华航能信科技有限公司 | Intelligent internet of things water utilities big data processing method and system |
| CN109672723A (en) * | 2018-10-24 | 2019-04-23 | 国网河北省电力有限公司雄安新区供电公司 | Comprehensive energy application service system |
Non-Patent Citations (2)
| Title |
|---|
| 石锋等: "创新的智能能源管理:边缘节点+网关+云端的完整方案", 《世界电子元器件》, no. 9, 31 December 2014 (2014-12-31), pages 39 - 41 * |
| 马吉军等: "基于边缘计算的工业数据采集", 《信息技术与网络安全》, vol. 37, no. 04, 10 April 2018 (2018-04-10), pages 91 - 93 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113256162A (en) * | 2021-06-21 | 2021-08-13 | 上海交大智邦科技有限公司 | Cloud edge cooperative and flexible distributed manufacturing control method and software system thereof |
| CN113256162B (en) * | 2021-06-21 | 2021-10-01 | 上海交大智邦科技有限公司 | Cloud edge cooperative and flexible distributed manufacturing control method and software system thereof |
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