CN111722608B - Process flow control method, system, medium and edge server based on TSN (transport stream network) - Google Patents
Process flow control method, system, medium and edge server based on TSN (transport stream network) Download PDFInfo
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- CN111722608B CN111722608B CN202010759987.0A CN202010759987A CN111722608B CN 111722608 B CN111722608 B CN 111722608B CN 202010759987 A CN202010759987 A CN 202010759987A CN 111722608 B CN111722608 B CN 111722608B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41835—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by programme execution
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41845—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by system universality, reconfigurability, modularity
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/4185—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the network communication
- G05B19/41855—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by the network communication by local area network [LAN], network structure
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention provides a process flow control method, a system, a medium and an edge server based on a TSN network, comprising the following steps: initiating frequency synchronization of a TSN (transmission delay network) and acquiring network delay of each intelligent gateway in the TSN; generating a data flow control gating list of the process equipment corresponding to the intelligent gateways based on the network delay of each intelligent gateway; generating an on-site production process flow control strategy based on the data flow control gating list and the on-site production process control flow; and when the process in the field production process flow control strategy has time-sensitive requirements, the process flow control strategy based on the TSN network is adopted to carry out field production process flow control. The TSN-based process flow control method, the TSN-based process flow control system, the TSN-based process flow control media and the edge server can realize a process flow control strategy based on the TSN so as to meet the requirements of process equipment synchronization and/or low delay.
Description
Technical Field
The invention relates to the technical field of process flow control, in particular to a process flow control method, a process flow control system, a process flow control medium and an edge server based on a TSN (time delay network).
Background
With the rapid development of the internet and its applications, the requirements of users on the response time of website system access, the website content, and the reliability and instantaneity of the provided services are also higher and higher, so that the system supporting the whole website with a single server cannot meet the requirements. Therefore, a set of servers in a two to three tier architecture is used instead, where the first tier is the front end server that comes into direct contact with the user, also called the edge server. The edge server provides a path for the user to enter the network and can communicate with other server devices. Typically, an edge server is a group of servers that perform a single function, such as a firewall server, a cache server, a load balancing server, a DNS server, and the like. The second layer is an intermediate layer, also referred to as an application server, including a Web presentation server, a Web application server, and the like. The third tier is the back-end database server.
In process control scenarios in industrial sites, edge servers are typically employed for control. In an actual process flow, process equipment usually has a synchronization requirement and/or a requirement of low delay and real-time performance in sequential execution, and therefore, how to implement the synchronization and/or low delay requirement of the process flow based on an edge server becomes a technical hotspot to be solved at present.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a method, a system, a medium and an edge server for controlling a process flow based on a TSN network, which can implement a control strategy for the process flow based on the TSN network to meet the requirements of synchronization and/or low latency of process equipment.
In order to achieve the above and other related objects, the present invention provides a TSN network-based process flow control method applied to an edge server, including the following steps: initiating frequency synchronization of a TSN (transmission delay network) and acquiring network delay of each intelligent gateway in the TSN; generating a data flow control gating list of the process equipment corresponding to the intelligent gateways based on the network delay of each intelligent gateway; generating an on-site production process flow control strategy based on the data flow control gating list and the on-site production process control flow; and when the process in the field production process flow control strategy has time-sensitive requirements, the process flow control strategy based on the TSN network is adopted to carry out field production process flow control.
In an embodiment of the present invention, generating the data flow control gating list of the process equipment corresponding to the intelligent gateway based on the network delay of each gateway includes the following steps:
generating an intelligent gateway delay characteristic form based on the network delay of each intelligent gateway;
and generating a data flow control gating list of the process equipment based on the intelligent gateway delay characteristic form.
In an embodiment of the present invention, the TSN network-based process flow control strategy includes the following steps:
defining a process action matched with process equipment;
defining action attribute parameters of each process action;
storing the process action and the corresponding action attribute parameter into a database of the edge server to generate an on-site production process action library;
and calling the process actions and the corresponding action attribute parameters in the field production process action library according to the field production process flow, and generating an action flow and a control flow of the field production process so as to realize the field production process flow control according to the action flow and the control flow.
In an embodiment of the present invention, the action attribute parameters include one or more combinations of an action type, an action content, an action data flow gating time, a synchronous action and a sequential action related to the action, and an action running exception handling.
In an embodiment of the present invention, when the process in the on-site production process flow control strategy has no time-sensitive requirement, the on-site production process flow control strategy is adopted to perform on-site production process flow control.
In one embodiment of the present invention, the process time sensitive requirements include one or a combination of time synchronization requirements and low latency requirements.
Correspondingly, the invention provides a TSN network-based process flow control system, which is applied to an edge server and comprises an acquisition module, a first generation module, a second generation module and a control module;
the acquisition module is used for initiating frequency synchronization of the TSN and acquiring network delay of each intelligent gateway in the TSN;
the first generation module is used for generating a data flow control gating list of the process equipment corresponding to the intelligent gateways based on the network delay of each intelligent gateway;
the second generation module is used for generating an on-site production process flow control strategy based on the data flow control gating list and the on-site production process control flow;
and the control module is used for controlling the field production process flow by adopting the process flow control strategy based on the TSN network when the process in the field production process flow control strategy has time-sensitive requirements.
The present invention provides a storage medium having stored thereon a computer program which, when executed by a processor, implements the TSN network-based process flow control method described above.
The present invention provides an edge server, comprising: a processor and a memory;
the memory is used for storing a computer program;
the processor is configured to execute the computer program stored in the memory to cause the edge server to execute the TSN network-based process flow control method described above.
Finally, the invention provides a technological process control system based on a TSN network, which comprises the edge server and at least two intelligent gateways;
the intelligent gateway is arranged in the TSN, bound with process equipment and used for collecting network delay of the intelligent gateway and sending the network delay to the edge server when the edge server initiates frequency synchronization of the TSN.
As described above, the TSN network-based process flow control method, system, medium, and edge server of the present invention have the following advantages:
(1) the intelligent gateway in the TSN network is used for collecting network delay, and the edge server is used for constructing a process flow control strategy of the process equipment according to the network delay, so that the requirements of synchronization and/or low delay of the process equipment are met;
(2) an adaptive control strategy can be adopted according to the delay characteristics of each process device, and the application range is wide;
(3) need not manual control, intelligent degree is high, has greatly promoted user experience.
Drawings
FIG. 1 is a flow chart of a TSN network based process flow control method of the present invention in one embodiment;
FIG. 2 is a flow chart illustrating an embodiment of a TSN network-based process flow control strategy of the present invention;
FIG. 3 is a block diagram of a TSN network based process flow control system in one embodiment of the present invention;
FIG. 4 is a schematic diagram of an edge server according to an embodiment of the present invention;
FIG. 5 is a block diagram of another embodiment of a TSN network based process flow control system according to the present invention.
Description of the element reference numerals
31 acquisition module
32 first generation module
33 second generation module
34 control module
41 processor
42 memory
51 edge server
52 Intelligent gateway
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only used for matching with the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions under which the present invention can be implemented, so that the present invention has no technical significance, and any structural modification, ratio relationship change, or size adjustment should still fall within the scope of the present invention without affecting the efficacy and the achievable purpose of the present invention. In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.
The TSN-based process flow control method, the TSN-based process flow control system, the TSN-based process flow control medium and the edge server can control and optimize the field production process flow based on the edge server under the TSN network, so that the requirements of process equipment synchronization and/or low delay are met. Among them, the Time-Sensitive Networking (TSN) is concerned with using an ethernet network that is inherently non-deterministic but with a certain minimum delay. The TSN has the advantages of bandwidth, safety, interoperability and the like, can well meet the requirement of interconnection of everything in the future, and has the main working principle of a priority applicable (IEEE P802.3br) mechanism, so that key data packets are processed preferentially in transmission. This means that critical data does not have to wait for all non-critical data to finish being transferred before starting, thus ensuring a faster transmission path.
As shown in fig. 1, in an embodiment, the TSN network-based process flow control method of the present invention is applied to an edge server, and specifically includes the following steps:
and step S1, initiating frequency synchronization of the TSN, and acquiring network delay of each intelligent gateway in the TSN.
Specifically, frequency synchronization is to adjust the frequency values of the frequency sources distributed in different places to a certain accuracy or a certain conformity through frequency comparison. The former is called pair frequency synchronization, and the latter is called relative frequency synchronization.
In the present invention, the edge server initiates frequency synchronization of the TSN network. On the premise of frequency synchronization, each intelligent gateway in the TSN acquires the network delay of the intelligent gateway in real time, and sends the network delay to the edge server.
And step S2, generating a data flow control gating list of the process equipment corresponding to the intelligent gateway based on the network delay of each intelligent gateway.
Specifically, in the TSN network, process equipment accesses the TSN network through an intelligent gateway. Each intelligent gateway is bound to one or more process devices. Firstly, the edge server generates an intelligent gateway delay characteristic form based on the network delay of each intelligent gateway, namely, the network delay of each intelligent gateway is recorded in the form of the form. And then, generating a data flow control gating list of the process equipment based on the intelligent gateway delay characteristic form, namely performing data flow control of the process equipment according to the intelligent gateway delay characteristic form, and generating a corresponding gating list.
And step S3, generating an on-site production process flow control strategy based on the data flow control gating list and the on-site production process control flow.
Specifically, the edge server combines the data flow control gating list to adjust on the basis of the existing field production process control flow, so as to obtain a field production process flow control strategy, so as to meet the control requirement of the field production process flow.
And step S4, when the process in the on-site production process flow control strategy has time sensitive requirement, the process flow control strategy based on the TSN network is adopted to carry out on-site production process flow control.
Specifically, the edge server judges whether a process in a field production process flow control strategy has time-sensitive requirements, namely whether the process has time synchronization requirements and/or low-delay requirements; if so, performing on-site production process flow control by adopting a process flow control strategy based on the TSN network; and if not, adopting the field production process flow control strategy to carry out field production process flow control.
As shown in fig. 2, in an embodiment of the present invention, the TSN network-based process flow control strategy includes the following steps:
41) a process action is defined that matches the process equipment.
Specifically, an association relationship of process equipment and process actions is constructed.
42) An action attribute parameter is defined for each process action.
Specifically, action attribute parameters corresponding to each process action are set. In an embodiment of the present invention, the action attribute parameters include one or more combinations of an action type, an action content, an action data flow gating time, a synchronous action and a sequential action related to the action, and an action running exception handling.
43) And storing the process action and the corresponding action attribute parameter into a database of the edge server to generate an on-site production process action library.
44) And calling the process actions and the corresponding action attribute parameters in the field production process action library according to the field production process flow, and generating an action flow and a control flow of the field production process so as to realize the field production process flow control according to the action flow and the control flow.
Specifically, the process actions and corresponding action attribute parameters in the field production process flow are searched in the field production process action library, and the action flow and the control flow of the field generation process are generated according to the process actions and the action attribute parameters.
As shown in fig. 3, in an embodiment, the TSN network-based process flow control system of the present invention is applied to an edge server, and includes an obtaining module 31, a first generating module 32, a second generating module 33, and a control module 34.
The obtaining module 31 is configured to initiate frequency synchronization of a TSN network, and obtain network delay of each intelligent gateway in the TSN network.
Specifically, frequency synchronization is to adjust the frequency values of the frequency sources distributed in different places to a certain accuracy or a certain conformity through frequency comparison. The former is called pair frequency synchronization, and the latter is called relative frequency synchronization.
In the present invention, the edge server initiates frequency synchronization of the TSN network. On the premise of frequency synchronization, each intelligent gateway in the TSN acquires the network delay of the intelligent gateway in real time, and sends the network delay to the edge server.
The first generation module 32 is connected to the acquisition module 31, and generates a data flow control gating list of the process equipment corresponding to each intelligent gateway based on the network delay of the intelligent gateway.
Specifically, in the TSN network, process equipment accesses the TSN network through an intelligent gateway. Each intelligent gateway is bound to one or more process devices. Firstly, the edge server generates an intelligent gateway delay characteristic form based on the network delay of each intelligent gateway, namely, the network delay of each intelligent gateway is recorded in the form of the form. And then, generating a data flow control gating list of the process equipment based on the intelligent gateway delay characteristic form, namely performing data flow control of the process equipment according to the intelligent gateway delay characteristic form, and generating a corresponding gating list.
The second obtaining module 33 is connected to the first obtaining module 32, and is configured to generate an in-situ production process flow control strategy based on the data flow control gating list and the in-situ production process control flow.
Specifically, the edge server combines the data flow control gating list to adjust on the basis of the existing field production process control flow, so as to obtain a field production process flow control strategy, so as to meet the control requirement of the field production process flow.
The control module 34 is connected to the second obtaining module 33, and is configured to perform the on-site production process flow control by using the TSN network-based process flow control strategy when there is a time-sensitive requirement for the process in the on-site production process flow control strategy.
Specifically, the edge server judges whether a process in a field production process flow control strategy has time-sensitive requirements, namely whether the process has time synchronization requirements and/or low-delay requirements; if so, performing on-site production process flow control by adopting a process flow control strategy based on the TSN network; and if not, adopting the field production process flow control strategy to carry out field production process flow control.
As shown in fig. 2, in an embodiment of the present invention, the TSN network-based process flow control strategy includes the following steps:
41) a process action is defined that matches the process equipment.
Specifically, an association relationship of process equipment and process actions is constructed.
42) An action attribute parameter is defined for each process action.
Specifically, action attribute parameters corresponding to each process action are set. In an embodiment of the present invention, the action attribute parameters include one or more combinations of an action type, an action content, an action data flow gating time, a synchronous action and a sequential action related to the action, and an action running exception handling.
43) And storing the process action and the corresponding action attribute parameter into a database of the edge server to generate an on-site production process action library.
44) And calling the process actions and the corresponding action attribute parameters in the field production process action library according to the field production process flow, and generating an action flow and a control flow of the field production process so as to realize the field production process flow control according to the action flow and the control flow.
Specifically, the process actions and corresponding action attribute parameters in the field production process flow are searched in the field production process action library, and the action flow and the control flow of the field generation process are generated according to the process actions and the action attribute parameters.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And the modules can be realized in a form that all software is called by the processing element, or in a form that all the modules are realized in a form that all the modules are called by the processing element, or in a form that part of the modules are called by the hardware. For example: the x module can be a separately established processing element, and can also be integrated in a certain chip of the device. In addition, the x-module may be stored in the memory of the apparatus in the form of program codes, and may be called by a certain processing element of the apparatus to execute the functions of the x-module. Other modules are implemented similarly. All or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software. These above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), one or more microprocessors (DSPs), one or more Field Programmable Gate Arrays (FPGAs), and the like. When a module is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. These modules may be integrated together and implemented in the form of a System-on-a-chip (SOC).
The storage medium of the present invention stores thereon a computer program that, when executed by a processor, implements the TSN network-based process flow control method described above. Preferably, the storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
As shown in fig. 4, in an embodiment, the edge server of the present invention includes: a processor 41 and a memory 42.
The memory 42 is used for storing computer programs.
The memory 42 includes: various media that can store program codes, such as ROM, RAM, magnetic disk, U-disk, memory card, or optical disk.
The processor 41 is connected to the memory 42, and is configured to execute the computer program stored in the memory 42, so as to enable the edge server to execute the TSN network-based process flow control method described above.
Preferably, the Processor 41 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components.
As shown in fig. 5, in an embodiment, the TSN network-based process flow control system of the present invention includes the edge server 51 and at least two intelligent gateways 52.
The intelligent gateway 52 is arranged in the TSN network, is bound to process equipment, is in communication connection with the edge server 51, and is configured to collect network delay of itself and send the network delay to the edge server 51 when the edge server 51 initiates frequency synchronization of the TSN network.
In summary, the TSN network-based process flow control method, system, medium, and edge server of the present invention collect network delays based on the intelligent gateway in the TSN network, and construct a process flow control strategy for process equipment based on the edge server according to the network delays, thereby satisfying the requirements of process equipment synchronization and/or low delay; an adaptive control strategy can be adopted according to the delay characteristics of each process device, and the application range is wide; need not manual control, intelligent degree is high, has greatly promoted user experience. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (8)
1. A technological process control method based on a TSN network is applied to an edge server and is characterized in that: the method comprises the following steps:
initiating frequency synchronization of a TSN (transmission delay network) and acquiring network delay of each intelligent gateway in the TSN;
generating a data flow control gating list of the process equipment corresponding to the intelligent gateways based on the network delay of each intelligent gateway;
generating an on-site production process flow control strategy based on the data flow control gating list and the on-site production process control flow;
when the process in the field production process flow control strategy has time sensitive requirements, the process flow control strategy based on the TSN network is adopted to carry out field production process flow control;
generating a data flow control gating list of the process equipment corresponding to the intelligent gateway based on the network delay of each gateway comprises the following steps:
generating an intelligent gateway delay characteristic form based on the network delay of each intelligent gateway;
generating a data flow control gating list of the process equipment based on the intelligent gateway delay characteristic form;
the TSN network-based process flow control strategy comprises the following steps:
defining a process action matched with process equipment;
defining action attribute parameters of each process action;
storing the process action and the corresponding action attribute parameter into a database of the edge server to generate an on-site production process action library;
and calling the process actions and the corresponding action attribute parameters in the field production process action library according to the field production process flow, and generating an action flow and a control flow of the field production process so as to realize the field production process flow control according to the action flow and the control flow.
2. The TSN network-based process flow control method of claim 1, wherein: the action attribute parameters comprise one or more of the combination of action type, action content, action data flow gating time, synchronous action and sequential action related to the action, and action operation exception processing.
3. The TSN network-based process flow control method of claim 1, wherein: and when the process in the field production process flow control strategy has no time sensitive requirement, the field production process flow control strategy is adopted to carry out field production process flow control.
4. The TSN network-based process flow control method of claim 1, wherein: the process time sensitive requirements include one or a combination of time synchronization requirements, low latency requirements.
5. A technological process control system based on a TSN network is applied to an edge server and is characterized in that: the device comprises an acquisition module, a first generation module, a second generation module and a control module;
the acquisition module is used for initiating frequency synchronization of the TSN and acquiring network delay of each intelligent gateway in the TSN;
the first generation module is used for generating a data flow control gating list of the process equipment corresponding to the intelligent gateways based on the network delay of each intelligent gateway;
the second generation module is used for generating an on-site production process flow control strategy based on the data flow control gating list and the on-site production process control flow;
the control module is used for controlling the field production process flow by adopting the process flow control strategy based on the TSN network when the process in the field production process flow control strategy has time sensitive requirements;
generating a data flow control gating list of the process equipment corresponding to the intelligent gateway based on the network delay of each gateway comprises the following steps:
generating an intelligent gateway delay characteristic form based on the network delay of each intelligent gateway;
generating a data flow control gating list of the process equipment based on the intelligent gateway delay characteristic form;
the TSN network-based process flow control strategy comprises the following steps:
defining a process action matched with process equipment;
defining action attribute parameters of each process action;
storing the process action and the corresponding action attribute parameter into a database of the edge server to generate an on-site production process action library;
and calling the process actions and the corresponding action attribute parameters in the field production process action library according to the field production process flow, and generating an action flow and a control flow of the field production process so as to realize the field production process flow control according to the action flow and the control flow.
6. A storage medium having stored thereon a computer program, wherein the program, when executed by a processor, implements the TSN network-based process flow control method of any of claims 1 to 4.
7. An edge server, comprising: a processor and a memory;
the memory is used for storing a computer program;
the processor is configured to execute the memory-stored computer program to cause the edge server to perform the TSN network-based process flow control method of any of claims 1-4.
8. A technological process control system based on a TSN network is characterized in that: comprising the edge server of claim 7 and at least two intelligent gateways;
the intelligent gateway is arranged in the TSN, bound with process equipment and used for collecting network delay of the intelligent gateway and sending the network delay to the edge server when the edge server initiates frequency synchronization of the TSN.
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| JP7103788B2 (en) * | 2017-12-28 | 2022-07-20 | トヨタ自動車株式会社 | In-vehicle systems, gateways, programs, information processing methods, information processing systems, and vehicles |
| CN113572559B (en) * | 2018-11-21 | 2022-06-14 | 华为技术有限公司 | Synchronization method and device |
| CN110996368B (en) * | 2019-11-22 | 2021-08-06 | 中国科学院计算机网络信息中心 | Heterogeneous converged network architecture applied to intelligent factory and route configuration method |
| CN111010350B (en) * | 2019-12-09 | 2023-04-07 | 交控科技股份有限公司 | TSN-based train multi-professional Ethernet comprehensive bearing method and device |
| CN111327540A (en) * | 2020-02-25 | 2020-06-23 | 重庆邮电大学 | Deterministic scheduling method for industrial time-sensitive network data |
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2020
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