CN108400917B - Intelligent manufacturing-oriented edge computing gateway and system - Google Patents
Intelligent manufacturing-oriented edge computing gateway and system Download PDFInfo
- Publication number
- CN108400917B CN108400917B CN201810059437.0A CN201810059437A CN108400917B CN 108400917 B CN108400917 B CN 108400917B CN 201810059437 A CN201810059437 A CN 201810059437A CN 108400917 B CN108400917 B CN 108400917B
- Authority
- CN
- China
- Prior art keywords
- gateway
- edge computing
- unit
- execution
- resource
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004519 manufacturing process Methods 0.000 claims abstract description 69
- 230000006854 communication Effects 0.000 claims abstract description 49
- 238000004891 communication Methods 0.000 claims abstract description 48
- 230000006870 function Effects 0.000 claims abstract description 21
- 230000003993 interaction Effects 0.000 claims abstract description 14
- 230000006399 behavior Effects 0.000 claims abstract description 9
- 230000000694 effects Effects 0.000 claims abstract description 5
- 230000007246 mechanism Effects 0.000 claims abstract description 5
- 238000000034 method Methods 0.000 claims description 69
- 230000008569 process Effects 0.000 claims description 59
- 230000003542 behavioural effect Effects 0.000 claims description 8
- 238000012544 monitoring process Methods 0.000 claims description 7
- 230000009471 action Effects 0.000 claims description 4
- 238000013461 design Methods 0.000 abstract description 5
- 238000007726 management method Methods 0.000 description 32
- 238000004458 analytical method Methods 0.000 description 5
- 230000010354 integration Effects 0.000 description 5
- 238000013473 artificial intelligence Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000007704 transition Effects 0.000 description 4
- 206010063385 Intellectualisation Diseases 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
- 230000010485 coping Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000005538 encapsulation Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 210000001503 joint Anatomy 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000003340 mental effect Effects 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012856 packing Methods 0.000 description 1
- 238000013439 planning Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000004092 self-diagnosis Methods 0.000 description 1
- 238000003860 storage Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000004148 unit process Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/40—Bus networks
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/66—Arrangements for connecting between networks having differing types of switching systems, e.g. gateways
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
- H04L67/63—Routing a service request depending on the request content or context
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/16—Implementation or adaptation of Internet protocol [IP], of transmission control protocol [TCP] or of user datagram protocol [UDP]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/40—Bus networks
- H04L2012/40208—Bus networks characterized by the use of a particular bus standard
- H04L2012/40215—Controller Area Network CAN
Abstract
The invention provides an edge computing gateway and a system facing intelligent manufacturing, wherein the computing gateway comprises a communication unit, a scheduling management unit, an execution unit and an interface unit, wherein the communication unit is an interface component mutually interacting among the edge computing gateways and sends requests or output results to other edge computing gateways; the scheduling management unit is used for managing service requests; the execution unit is used for executing specific task logic; the scheduling management unit and the execution unit are used for jointly taking charge of decision execution, realizing corresponding control functions and logics and constraining the behaviors and activities of the edge computing gateway; the interface unit handles the interaction of edge computing control and hardware, provides access mechanisms for manufacturing resources, monitors resource data and executes commands for manufacturing resources. The communication between the modules is effectively separated from the functional logic of the modules through the modular architecture design and the internal realization structure of each unit, and the configurational property and the functional reusability of the system are improved.
Description
Technical Field
The invention relates to the field of distributed computing, artificial intelligence and intelligent manufacturing, in particular to an edge computing gateway and an edge computing system for intelligent manufacturing.
Background
Intelligent Manufacturing (IM) is an integrated man-machine intelligence system consisting of Intelligent machines and human experts, which can perform Intelligent activities such as analysis, inference, judgment, conception and decision-making during the Manufacturing process. By the cooperation of human and intelligent machine, the mental labor of human expert in the manufacturing process is enlarged, extended and partially replaced. The concept of manufacturing automation is updated, and the manufacturing automation is expanded to flexibility, intellectualization and high integration.
Intelligence is a growing direction in manufacturing automation. Artificial intelligence techniques are almost widely used in various links of the manufacturing process. The expert system technology can be used for engineering design, process design, production scheduling, fault diagnosis and the like; advanced computer intelligent methods such as a neural network and a fuzzy control technology can also be applied to product formulation, production scheduling and the like, so that the intellectualization of the manufacturing process is realized. Whereas artificial intelligence techniques are particularly well suited to solve particularly complex and uncertain problems.
Based on the essential characteristics of an intelligent manufacturing system, in a distributed manufacturing network environment, according to the basic idea of distributed integration, the theory and method of a multi-Agent system in distributed artificial intelligence are applied, and the flexible intelligence integration of a manufacturing unit and the flexible intelligence integration of the manufacturing system based on the network are realized. According to the isomorphic characteristics of the distributed system, on the basis of a local implementation form of the intelligent manufacturing system, the implementation mode of the intelligent manufacturing system under the global manufacturing network environment based on the Internet is actually reflected.
Edge computing refers to an open platform integrating network, computing, storage and application core capabilities at one side close to an object or a data source to provide nearest-end services nearby. The application program is initiated at the edge side, so that a faster network service response is generated, and the basic requirements of the industry in the aspects of real-time business, application intelligence, safety, privacy protection and the like are met. The edge computation is between the physical entity and the industrial connection, or on top of the physical entity. And the cloud computing still can access the historical data of the edge computing. In the industrial field, the edge application scenarios include energy analysis, logistics planning, process optimization analysis, and the like. In terms of production task allocation, optimal equipment scheduling needs to be performed for production according to production orders, which is a basic task unit of APS or generalized MES and requires a large amount of computation.
The edge computing provides an intelligent multi-Agent system for intelligent manufacturing to form a distributed flexible integrated network. While a configurable Manufacturing System (RMS) is a typical implementation of edge calculation. The concept of a configurable manufacturing system is primarily to address the needs of modern manufacturing systems, especially smart manufacturing. Because of global competition and the aggravation of uncertainty, with the erratic changes in economic, technical and customer trends, businesses are required to be able to introduce new products in less time and to be able to produce diversified products while coping with the ability of erratic orders. The goal of a configurable manufacturing system is to freely switch production of different products across a range of product families by flexibly adding or removing system functional components (including software or hardware) while minimizing latency and cost. Configurable manufacturing systems (RMS) are also designed to be able to quickly adjust production loads and functions to account for sudden changes by configuring hardware and software resources. The configurable manufacturing system thus has the following features: modular system components, easy integration with other technical systems, product variability, self-diagnosis of system errors, expansion of system capabilities only, and customization for specific applications.
However, there is a lack in the art of a complex edge computing gateway capable of implementing configurable manufacturing systems.
Disclosure of Invention
The invention provides an edge computing gateway and a system facing intelligent manufacturing, aiming at solving the problem that the prior art lacks an edge computing gateway which has composite requirements and can realize a configurable manufacturing system.
In order to solve the above problems, the technical solution adopted by the present invention is as follows:
an edge computing gateway facing intelligent manufacturing comprises a communication unit, a scheduling management unit, an execution unit and an interface unit, wherein the communication unit is an interface component mutually interacting between the edge computing gateways and sends requests or output results to other edge computing gateways; the scheduling management unit is used for managing service requests; the execution unit is used for executing specific task logic; the scheduling management unit and the execution unit are used for jointly taking charge of decision execution, realizing corresponding control functions and logics and constraining the behaviors and activities of the edge computing gateway; the interface unit handles the interaction of edge computing control and hardware, provides access mechanisms for manufacturing resources, monitors resource data and executes commands for manufacturing resources.
Preferably, the communication unit implements one or more processes, and the processes are independent from the processes of the scheduling management unit, the execution unit, and the interface unit inside the edge computing gateway.
Preferably, the schedule management unit manages the service request by maintaining a service plan list.
Preferably, the services in the service plan list are resource plans that other edge computing gateways send requests for confirmation to the edge computing gateway where the scheduling management unit is located.
Preferably, the execution unit is configured to take charge of specific task execution logic, and includes: driving execution of functions of hardware associated with the edge computing gateway by sending a series of execution instructions in sequence.
Preferably, the interface unit has two implementation forms: based on the communication function provided by Erlang OTP; based on port driven communication functions.
The invention also provides a configurable manufacturing system composed of the edge computing gateway facing the intelligent manufacturing, which comprises a rule gateway, a resource gateway and a product gateway; the product gateway requests a process from the resource gateway, and the resource gateway returns a process capability to the product gateway; product knowledge is interacted between the product gateway and the rule gateway; and exchanging control and execution knowledge between the rule gateway and the resource gateway.
Preferably, the system further comprises a monitoring gateway, wherein the monitoring gateway is used for monitoring the rule gateway, the resource gateway and the product gateway; and providing expert knowledge for the rule gateway, the resource gateway and the product gateway.
The invention also provides an implementation method of the intelligent manufacturing-oriented edge computing gateway, which is implemented by interacting requests, results and execution instructions among the communication unit, the scheduling management unit, the execution unit and the interface unit.
Preferably, the communication unit, the scheduling management unit, the execution unit, and the interface unit implement one or more Erlang processes, and the interaction request between the units is communicated through messages between the Erlang processes.
The invention has the beneficial effects that: the intelligent manufacturing-oriented edge computing gateway and the intelligent manufacturing-oriented edge computing system have the advantages that inter-module communication is effectively separated from module function logic through modular architecture design and internal implementation structures of a communication unit, a scheduling management unit, an execution unit and an interface unit, and the configurationality and the function reusability of the system are improved; the edge computing gateway and the system provided by the invention can realize intelligent control on single equipment, can also realize complete control on a manufacturing system through multi-type gateway combination and interaction, are oriented to different industrial scenes and equipment types, can realize flexible configuration, are compatible with connection of different equipment under the condition of maximizing system code reusability, can quickly realize different control execution logics, and are beneficial to the flexibility and the intelligence of the manufacturing system.
Drawings
Fig. 1 is a schematic structural diagram of an edge computing gateway in embodiment 1 of the present invention.
FIG. 2 is a schematic diagram of a configurable manufacturing system in embodiment 1 of the invention.
Fig. 3 is a schematic diagram of a finite state machine and state transition of a logical process of a scheduling management unit in embodiment 2 of the present invention.
Fig. 4 is a diagram illustrating a finite state machine and state transitions of the logic process of the execution unit in embodiment 2 of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the following embodiments in order to better understand the present invention, but the following embodiments do not limit the scope of the present invention. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic concept of the present invention, and the drawings only show the components related to the present invention rather than the number, shape and size of the components in actual implementation, the shape, number and proportion of the components in actual implementation can be changed freely, and the layout of the components can be more complicated.
Example 1
As shown in fig. 1, the architecture of the edge computing gateway mainly includes two major components, namely software and hardware, and the hardware component is a manufacturing resource, is defined as a hardware device required in the manufacturing process, such as a machine tool, a mechanical arm, a sensor, a PLC, an industrial personal computer, and the like, and is a control object of the edge computing gateway; the software part comprises four units of communication, scheduling management, execution and interface. The communication unit is an interface component for interaction between the edge computing gateways and is responsible for sending requests or outputting results to other edge computing gateways; the scheduling management and execution unit is responsible for decision execution, realizes corresponding control functions and logics and restricts the behaviors and activities of the edge computing gateway; the interface unit handles the interaction of edge computing control with the hardware, provides access mechanisms for manufacturing resources, monitors resource data, and executes commands for manufacturing resources.
The decision module of the edge computing gateway is composed of a scheduling management unit and an execution unit, wherein the scheduling management unit is responsible for managing service requests, and the execution unit is responsible for specific task execution logic. This design advantageously separates the management of service requests from the execution of the process so that they can be modified independently and minimize the interplay of changes to each other, improving the configurability of the system. In addition, since the edge computing gateways may perform different control logic in many different scenarios, but their service management is the same, the reusability of the system software may be improved. In a production manufacturing system, the dispatch management unit may act as a service management common to all edge computing gateways.
As shown in FIG. 2, a plurality of edge computing gateways cooperate to form a configurable manufacturing system (RMS). In a configurable manufacturing system, three basic types of edge computing gateways are mainly included: rule gateways, resource gateways, and product gateways, which represent three separate points of interest in manufacturing: logistics (e.g., supply chain and logistics), resources (e.g., machine equipment, software systems, etc.), and product technology (e.g., processes, flows, etc.). The edge computing gateways interact with each other in a knowledge exchange mode, process knowledge is exchanged between the product gateway and the resource gateway, and the process knowledge is information and a method for describing how to realize a specific process through resources, the product gateway requests the process from the resource gateway, and the resource gateway returns the process capability to the product gateway. The knowledge of the interaction between the product gateway and the rule gateway is product knowledge, which is information about the production of a particular product by a particular resource. Knowledge of the exchange control and execution between the rule gateway and the resource gateway is information about the progress of the process on the resource.
In addition to the basic edge computing gateways, a class of monitoring gateways may be added to a manufacturing system to monitor the basic gateways and reduce their workload and decision complexity by providing them with expert knowledge. Such a gateway architecture can decouple the control algorithms from the system architecture and also decouple the logistics and technology components, contributing to the integrity and modularity of the system.
In a manufacturing system implemented based on edge computing gateways, communications between functional entities are divided into inter-edge gateway communications and intra-edge gateway communications, with intra-communications occurring between different elements within an edge computing gateway. Typical inter-gateway communications such as a rule gateway issues a resource service request to a resource gateway and the resource gateway returns the results of the resource request to the rule gateway, such request and results returning an interface with other edge computing gateways as shown in fig. 1. FIG. 1 also illustrates communications within the edge computing gateway, which are implemented by interacting requests, results, and execution instructions between the various elements.
Because the Erlang has the characteristic of generating a large number of light-weight processes in single or multiple CPUs and limited memory resources and can realize low-cost and manageable concurrency performance, each unit of the edge computing gateway is realized into one or more Erlang processes, and mutual information among the units needs to pass through messages (Message-paging) among the Erlang processes, so that each unit processes communication among the units through the Erlang processes. One way to implement communication is: the functional unit generates an independent process, executes a receive-evaluate loop, the process calls a recursive function for executing a receive statement, the receive statement tries to match a series of input message patterns (pattern), if matching is successful, the recursive function executes some actions, generally, another message is sent, and the function calls itself to realize the loop after the action execution is completed. Such communication processes separate the communication functions in one unit from other execution logic, increasing configurability and maintainability, since modification of one process does not affect execution of other processes.
The communication unit is responsible for maintaining interactions with other edge computing gateways in a manufacturing system, i.e., handling incoming and outgoing messages, at the edge computing gateways. This unit only needs to implement the process of executing the receive-evaluate loop. According to the concurrency requirement of communication between the gateways, the unit can realize one or more receive-update processes, and the communication processes are independent from the processes of other units in the gateways.
The schedule management unit maintains a list of service plans that the gateway confirms for other gateways requesting it, improving the scheduling performance of the system by predicting and temporarily committing (allocating) the availability of future resources. There are two types of service list maintenance policies:
(1) the gateway delegates the responsibility for service list population and interrogation to a set of lightweight proxy processes (implemented by Erlang processes);
(2) a monitoring gateway coordinates the scheduling of services for the task gateway by continuously probing the service plan list for the task gateway.
The scheduling management unit is responsible for managing the service plan provided by the gateway, generally the services subscribed and requested by the rule gateway, and triggers the execution unit through necessary execution commands according to the service plan. The dispatch management unit includes two functions: firstly, receiving and analyzing messages from other units; second is managing service subscription and execution. The message handling function is implemented by a process of a receive-update loop similar to the communication unit, and then the messages are passed to a process of managing the service. The logic of service management can be in a number of different ways, including:
(1) the logic is implemented as a common Erlang process;
(2) the logic is implemented as a behavioral paradigm (behavior) of OTP (Open telecom Platform, runtime environment and base library Platform in Erlang language), that is, the logic can be implemented as a gen _ server or gen _ fsm behavioral paradigm.
The execution unit is responsible for driving hardware behaviors related to the gateway service, and triggers the execution of hardware functions by sending a series of execution instructions in sequence so as to realize the gateway service. The implementation and scheduling management unit of the execution unit also comprises a receive-update loop process to receive messages and a process for managing services, and the service execution process can also have various implementation forms, including:
(1) implemented as a common Erlang process;
(2) gen _ fsm behavioral paradigm (behavior) implemented as an OTP (runtime environment or base library Platform in the Erlang language).
The implementation as a behavioral paradigm of a finite state machine gen _ fsm is the main implementation form of the present invention. The edge computing gateway related by the invention mainly realizes intelligent control behaviors through a finite state machine. Based on this form, the sequence requirements of the execution actions are modeled as gen _ fsm behavioral paradigm, and for each execution state, necessary trigger messages are sent to the hardware through the interface unit, and the service execution process receives the execution result feedback from the hardware and realizes the transition of the finite state machine between the disabled states according to the feedback. When the execution is completed, the execution result is returned to the scheduling management unit, and then the scheduling management unit forwards the result to the communication unit and finally to other gateways requesting service.
The interface unit maintains a communication interface between the Erlang control program and hardware, separates a special communication structure of the hardware from a system execution logic of the gateway, is convenient for realizing flexible configuration of the system and butt joint of different hardware devices, and keeps reusability of the control logic. The interface unit has the following two implementation forms:
(1) based on a communication function provided by OTP (runtime environment and basic library Platform in Open telecom Platform, Erlang language): implementing a receive-update loop process and an OTP provided gen _ TCP process or gen _ UDP process for implementing TCP communication and UDP communication, respectively; the implementation mode can also be matched with some application layer protocol analysis libraries of Erlang to realize the encapsulation and analysis of protocol data such as XML or JSON;
(2) based on the port-in port drivers, in this way, a piece of communication interface program is implemented by other languages (such as C, Java, and the like), and is packaged and compiled together with the Erlang program, so that the program runs like a pure Erlang program. This implementation enables interfacing with some non-TCP/IP communication protocols, such as Profibus, CANbus, etc., and also some device-specific communication drivers.
Example 2
The intelligent manufacturing-oriented edge computing gateway and the intelligent manufacturing-oriented edge computing system realize control over a robot for picking up and placing materials, and the program language and the realization mechanism are as follows:
1. a communication unit, the module is realized as a receive-evaluate loop single process:
first, a service message format for inter-cell communication is defined:
#service{message_type,service_type,reply_to,conversation_ID,requester_pid,provider_pid,result,info}
message _ type-specifies the type of service message, such as: request, cancel, start
service _ type-service type definition, such as: pick-n-place, aspect, transport
reply _ to-gateway Process ID, specifying which gateway to send a message to
Unique sequence number of conversion _ ID-message
ID of request _ pid-service message request process
provider _ pid-Process ID providing service
result returned for result-service (Boolean type)
Description information of info-service message
Implementation of the receive-evaluate loop process:
rec_messages()->
receive
% message from schedule management unit, reply to service request
{service_manager_fsm,Message＝#service{}}->
Pid＝Message#service.reply_to,
% return result to other gateways
Pid！{robot_comm,Message},
rec_messages()；
% service request messages from other gateways
{From,Message＝#service{}}->
% forward message to schedule management unit
service_manager_fsm！{robot_comm,Message},
rec_messages()
2. The scheduling management unit comprises a receive-evaluate loop process for communication and a service management logic process, which are implemented by a gen _ fsm behavioral paradigm, the state of the finite state machine is composed of the state of hardware resources (busy or idle) and a service plan list, and the finite state machine of the scheduling management unit and the transition between the states are shown in fig. 3.
The partial states of the state machine are implemented as follows:
% State free bound "> resource free but predetermined
free_booked(Message＝#service{message_type＝booking_req},[Job_list])->
% adding request to predetermined list
NewJob_list＝lists:append(Job_list,
[Message#service.requester_pid]),
% returns the result to the requesting gateway through the communication unit
robot_comm！{service_manager_fsm,Message#service{result＝true}},
% specifies the next state and state information
{next_state,free_booked,[NewJob_list]}；
% State free bound "> resource free but predetermined
free_booked(Message＝#service{message_type＝start},[Job_list])->
% forwards "start" message to execution Unit resource _ exec
robot_exec！{service_manager_fsm,Message},
% specifies the next state and state information
{next_state,busy_booked,[Message#service.requester_pid,
lists:delete(Message#service.requester_pid,Job_list)]}.
% status busy resource is also predetermined
busy_booked(Message＝#service{message_type＝done},[CurrJob,Job_list])->
% returns the result to the requesting gateway through the communication unit
robot_comm！{agenda_manager_fsm,Message},
% specifies the next state and state information
{next_state,free_booked,[Job_list]}.
3. The scheduling management unit also realizes a finite state machine by a gen _ fsm behavioral paradigm, and comprises three states of the robot: ready (ready), picking (packing), placing (playing), migration between state machines is shown in fig. 4, and the state machine code is as follows:
% State ready robot
ready(Message＝#service{message_type＝start},_)->
% sends pick up position coordinates to interface unit
robot_pi！{robot_exec,
Message#service.info.coords.pick_coords},
% specifies the next state and state information
{next_state,picking,Message}.
Pickling- - > performing a pick operation%
picking(picking_done,Message)->
% sends placement location coordinates to interface unit
robot_pi！{robot_exec,
Message#service.info.coords.place_coords},
% specifies the next state and state information
{next_state,placing,{CurrJob,Message}}.
% State of playing- - > performing a Placement operation
placing(placing_done,Message)->
% put results back to the schedule management unit
service_manager！{robot_exec,Message＝#service{result＝true}},
% specifies the next state and state information
{next_state,ready,[]}.
4. The interface unit realizes an interface with hardware based on a gen _ tcp behavior paradigm and an XML communication protocol, and comprises main code segments:
socket_client(Info)->
% connection TCP server
{ok,Socket}＝socket_connect(),
% build XML data
XML_string＝build_XML(Info),
% transmission data
ok＝gen_tcp:send(Socket,XML_string),
% received operation result
{ok,XML_data}＝do_receive(Socket,[]),
% closing TCP connection
ok＝gen_tcp:close(Socket),
% extraction of information from results data
{XML_doc,_}＝
xmerl_scan:string(XML_data,[{encoding,latin1}]),
Msg＝extract_content('RESULT',[XML_doc]),
Message＝list_to_atom(Msg),
Message.
socket_connect()->
% establishing TCP connection
case gen_tcp:connect(？address,？port,
[list,{packet,0},{active,false}])of
％success–return socket reference
{ok,Socket}->{ok,Socket}；
％failure–try again
_->timer:sleep(1000),socket_connect()
end.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several equivalent substitutions or obvious modifications can be made without departing from the spirit of the invention, and all the properties or uses are considered to be within the scope of the invention.
Claims (10)
1. An edge computing gateway facing intelligent manufacturing is characterized by comprising a communication unit, a scheduling management unit, an execution unit and an interface unit,
the communication unit is an interface component for mutual interaction between the edge computing gateways and sends requests or output results to other edge computing gateways; the edge computing gateways comprise a product gateway, a resource gateway and a rule gateway, and are interacted in a knowledge exchange mode; process knowledge is exchanged between the product gateway and the resource gateway, information and methods describing how to implement a particular process through resources; the product gateway requesting a process from the resource gateway and the resource gateway returning process capabilities to the product gateway; the knowledge of the interaction between the product gateway and the rule gateway is product knowledge, which is information about the production of a specific product by a specific resource; the knowledge of control and execution exchanged between the rule gateway and the resource gateway is the progress information about the process executed on the resource;
the scheduling management unit is used for managing service requests;
the execution unit is used for executing specific task logic; implementing the sequence of the execution actions of the task into a finite state machine gen _ fsm behavioral paradigm; the scheduling management unit and the execution unit are used for jointly taking charge of decision execution, realizing corresponding control functions and logics and constraining the behaviors and activities of the edge computing gateway;
the interface unit handles the interaction of edge computing control and hardware, provides access mechanisms for manufacturing resources, monitors resource data and executes commands for manufacturing resources.
2. The intelligent manufacturing-oriented edge computing gateway of claim 1, wherein the communication unit implements one or more processes that are independent of processes of the schedule management unit, the execution unit, and the interface unit within the edge computing gateway.
3. The intelligent manufacturing-oriented edge computing gateway of claim 1, wherein the schedule management unit manages service requests by maintaining a list of service plans.
4. The intelligent manufacturing-oriented edge computing gateway of claim 3, wherein services in the service plan list are resource plans that are requested to be confirmed by other edge computing gateways to the edge computing gateway where the dispatch management unit is located.
5. The intelligent manufacturing-oriented edge computing gateway of claim 1, wherein the execution unit to be responsible for specific task execution logic comprises: driving execution of functions of hardware associated with the edge computing gateway by sending a series of execution instructions in sequence.
6. The intelligent manufacturing-oriented edge computing gateway of claim 1, wherein the interface unit has two implementations: based on the communication function provided by Erlang OTP; based on port driven communication functions.
7. A configurable manufacturing system composed of edge computing gateways facing intelligent manufacturing is characterized by comprising a rule gateway, a resource gateway and a product gateway; the rule gateway, the resource gateway, and the product gateway are the intelligent manufacturing oriented edge computing gateway of any of claims 1-6;
the product gateway requests a process from the resource gateway, and the resource gateway returns a process capability to the product gateway;
product knowledge is interacted between the product gateway and the rule gateway;
and exchanging control and execution knowledge between the rule gateway and the resource gateway.
8. The configurable manufacturing system of intelligent manufacturing oriented edge computing gateways of claim 7, further comprising a monitoring gateway for monitoring the rules gateway, the resource gateway, and the product gateway; and providing expert knowledge for the rule gateway, the resource gateway and the product gateway.
9. An implementation method of an edge computing gateway for intelligent manufacturing, which is implemented by the interaction request, result and execution instruction between the communication unit, the scheduling management unit, the execution unit and the interface unit according to any one of claims 1 to 6.
10. The method for implementing an edge computing gateway as claimed in claim 9, wherein the communication unit, the schedule management unit, the execution unit, and the interface unit implement one or more Erlang processes, and wherein the inter-unit interaction requests are communicated via messages between Erlang processes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810059437.0A CN108400917B (en) | 2018-01-22 | 2018-01-22 | Intelligent manufacturing-oriented edge computing gateway and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810059437.0A CN108400917B (en) | 2018-01-22 | 2018-01-22 | Intelligent manufacturing-oriented edge computing gateway and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108400917A CN108400917A (en) | 2018-08-14 |
| CN108400917B true CN108400917B (en) | 2021-05-18 |
Family
ID=63094026
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810059437.0A Active CN108400917B (en) | 2018-01-22 | 2018-01-22 | Intelligent manufacturing-oriented edge computing gateway and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108400917B (en) |
Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
| CN109709811B (en) * | 2018-12-20 | 2021-08-17 | 中国科学院沈阳自动化研究所 | Intelligent manufacturing-oriented edge calculation controller and working method thereof |
| CN109889592B (en) * | 2019-02-25 | 2020-05-01 | 北京邮电大学 | Intelligent manufacturing method and device based on edge calculation |
| CN109995782B (en) * | 2019-03-31 | 2020-06-12 | 深圳联想懂的通信有限公司 | Information processing method, device, system and computer storage medium |
| CN113412495A (en) * | 2019-05-23 | 2021-09-17 | 西门子股份公司 | Edge model inference method, edge calculation device, and computer-readable medium |
| CN110413591A (en) * | 2019-07-10 | 2019-11-05 | 广州博依特智能信息科技有限公司 | A kind of industrial data acquisition method and edge calculations gateway |
| CN110451150A (en) * | 2019-08-28 | 2019-11-15 | 成都侠客颂科技有限公司 | It a kind of automated storage and retrieval system and its gets in stocks and picking working method |
| CN110768914B (en) * | 2019-10-23 | 2022-03-29 | 上海交通大学 | Decentralized Internet of things gateway system based on semantic scene instance migration |
| CN111224825B (en) * | 2020-01-06 | 2021-05-04 | 华东师范大学 | Edge autonomous model construction device |
| CN111224824B (en) * | 2020-01-06 | 2021-05-04 | 华东师范大学 | Edge autonomous model construction method |
| CN113342712B (en) * | 2021-05-26 | 2022-08-02 | 博依特(广州)工业互联网有限公司 | Edge computer gateway front-end system |
| CN113472638B (en) * | 2021-07-05 | 2023-06-09 | 腾讯科技（深圳）有限公司 | Edge gateway control method, system, device, electronic equipment and storage medium |
| CN117795442A (en) * | 2021-08-31 | 2024-03-29 | 西门子股份公司 | Automatic control system, method and storage medium for production system |
| CN114389986A (en) * | 2021-12-24 | 2022-04-22 | 鞍钢集团矿业有限公司 | Data processing system and method |
| CN114443299B (en) * | 2022-01-25 | 2023-04-07 | 东方电气集团东方电机有限公司 | Flexible automatic lamination system based on 5G communication and edge calculation |
| CN114697335B (en) * | 2022-05-23 | 2023-03-28 | 深圳富联智能制造产业创新中心有限公司 | Edge node device |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106603659A (en) * | 2016-12-13 | 2017-04-26 | 南京邮电大学 | Intelligent manufacturing special network data acquisition scheduling system |
| WO2017165712A1 (en) * | 2016-03-23 | 2017-09-28 | FogHorn Systems, Inc. | Composition of pattern-driven reactions in real-time dataflow programming |
| WO2017186260A1 (en) * | 2016-04-25 | 2017-11-02 | Huawei Technologies Co., Ltd. | Edge server and method of operating an edge server |
| CN107357241A (en) * | 2016-04-26 | 2017-11-17 | 株式会社捷太格特 | Device systems |
| WO2018009160A1 (en) * | 2016-07-02 | 2018-01-11 | Intel Corporation | Cognitive edge processing for internet-of-things networks |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070002835A1 (en) * | 2005-07-01 | 2007-01-04 | Microsoft Corporation | Edge-based communication |
-
2018
- 2018-01-22 CN CN201810059437.0A patent/CN108400917B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017165712A1 (en) * | 2016-03-23 | 2017-09-28 | FogHorn Systems, Inc. | Composition of pattern-driven reactions in real-time dataflow programming |
| WO2017165708A1 (en) * | 2016-03-23 | 2017-09-28 | FogHorn Systems, Inc. | Efficient state machines for real-time dataflow programming |
| WO2017186260A1 (en) * | 2016-04-25 | 2017-11-02 | Huawei Technologies Co., Ltd. | Edge server and method of operating an edge server |
| CN107357241A (en) * | 2016-04-26 | 2017-11-17 | 株式会社捷太格特 | Device systems |
| WO2018009160A1 (en) * | 2016-07-02 | 2018-01-11 | Intel Corporation | Cognitive edge processing for internet-of-things networks |
| CN106603659A (en) * | 2016-12-13 | 2017-04-26 | 南京邮电大学 | Intelligent manufacturing special network data acquisition scheduling system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108400917A (en) | 2018-08-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108400917B (en) | Intelligent manufacturing-oriented edge computing gateway and system | |
| Lepuschitz et al. | Toward self-reconfiguration of manufacturing systems using automation agents | |
| Gomaa et al. | Software reconfiguration patterns for dynamic evolution of software architectures | |
| Nikolakis et al. | On a containerized approach for the dynamic planning and control of a cyber-physical production system | |
| Leitao et al. | Implementation of a holonic control system in a flexible manufacturing system | |
| Ye et al. | Toward the plug-and-produce capability for industry 4.0: An asset administration shell approach | |
| CN101976062B (en) | Open type control method based on lightweight service-oriented architectures (LSOA) framework | |
| Dobaj et al. | A microservice architecture for the industrial Internet-of-Things | |
| Kendall et al. | The layered agent pattern language | |
| KR102280440B1 (en) | Method for generating the Asset Administration Shell(AAS) in a smart manufacturing system | |
| De Coninck et al. | Middleware platform for distributed applications incorporating robots, sensors and the cloud | |
| Quirós et al. | Dispersed automation for industrial Internet of Things | |
| López et al. | Towards the generic integration of agent-based AASs and Physical Assets: a four-layered architecture approach | |
| Chan et al. | A multi-agent-based agile shop floor control system | |
| Lepuschitz | Self-reconfigurable manufacturing control based on ontology-driven automation agents | |
| Kato et al. | Multiagent based autonomic and resilient service provisioning architecture for the Internet of Things | |
| Tsai et al. | Web-based distributed manufacturing control systems | |
| Leitão et al. | Trends in agile and co-operative manufacturing | |
| Naidoo et al. | A distributed framework for programming the artificial intelligence of mobile robots in smart manufacturing systems | |
| Rossi et al. | The pluggable distributed resource allocator (pdra): A middleware for distributed computing in mobile robotic networks | |
| Wasserman | ARTI-based holonic control implementation for a manufacturing system using the BASE architecture | |
| Lyu et al. | Multi-agent modelling of cyber-physical systems for IEC 61499-based distributed intelligent automation | |
| Calvo et al. | Towards a OMG DDS communication backbone for factory automation applications | |
| Wei et al. | Model checking for the goal-feedback-result pattern in ROS | |
| Kruger | The development and evaluation of an Erlang control system for reconfigurable manufacturing systems |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210106 Address after: 518000 Guangdong city of Shenzhen province Nanshan District South Road No. 10 four Applicant after: Liu Fujianbo Address before: 518057 Room 201, building A, 1 front Bay Road, Shenzhen Qianhai cooperation zone, Shenzhen, Guangdong Applicant before: Shenzhen great number of Technology Co.,Ltd. |
|
| TA01 | Transfer of patent application right |
Effective date of registration: 20210428 Address after: 518000 Guangdong city of Shenzhen province Qianhai Shenzhen Hong Kong cooperation zone before Bay Road No. 1 building 201 room A (located in Shenzhen Qianhai business secretary Co. Ltd.) Applicant after: SHENZHEN XINKE JUHE NETWORK TECHNOLOGY Co.,Ltd. Address before: 518000 Guangdong city of Shenzhen province Nanshan District South Road No. 10 four Applicant before: Liu Fujianbo |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right | ||
| PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Edge computing Gateway and System for Intelligent Manufacturing Effective date of registration: 20230103 Granted publication date: 20210518 Pledgee: China Construction Bank Co.,Ltd. Shenzhen Branch Pledgor: SHENZHEN XINKE JUHE NETWORK TECHNOLOGY CO.,LTD. Registration number: Y2022980029055 |
|
| PC01 | Cancellation of the registration of the contract for pledge of patent right | ||
| PC01 | Cancellation of the registration of the contract for pledge of patent right |
Granted publication date: 20210518 Pledgee: China Construction Bank Co.,Ltd. Shenzhen Branch Pledgor: SHENZHEN XINKE JUHE NETWORK TECHNOLOGY CO.,LTD. Registration number: Y2022980029055 |