CN114978754B - TSN anomaly detection method and system - Google Patents
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Abstract
The application discloses a TSN abnormality detection method and system, comprising a control node, a switching node and a calculation node; the control node realizes standard Ethernet encapsulation of control data and sends the standard Ethernet encapsulation to the switching node; the switching node has TSN802.1CB redundancy function and realizes redundancy copy of control data; the system has the INT function, realizes the collection of state information node by node, encapsulates the state information into INT metadata, and sends the INT metadata to the computing nodes along with control data; and the computing node deploys a TSN abnormality detection mechanism based on an INT protocol, analyzes the state information of the full-path node based on all INT metadata, and identifies abnormal conditions. The application realizes the in-band detection of the TSN by effectively combining the TSN and INT technologies, ensures that the occurrence of the abnormality of each switching node of the data transmission path can be detected in real time, and effectively ensures the safety and reliability of the industrial automation and vehicle-mounted fields.
Description
Technical Field
The application belongs to the technical field of industrial automation and automatic driving, and particularly relates to a TSN abnormality detection method and system.
Background
The current TSN protocol technology is rapidly developed, and has large-scale application and practice in various fields of industrial automation, aerospace, autopilot and the like. In particular, the TSN802.1CB protocol is widely used for a scenario in which control data requires high reliability transmission. However, at present, abnormal detection of a network transmission path based on a TSN802.1CB redundancy protocol is performed, and the abnormal situation is simply switching a normal TSN transmission path, so that a user cannot timely sense occurrence of TSN abnormality. Therefore, a TSN abnormality detection mechanism is urgently required to be introduced, and timely feedback of TSN abnormality conditions is guaranteed.
Today, protocol technology based on In-band telemetry (INT, in-band Network Telemetry) of networks has been rapidly developed In the fields of data communication and the like, and a mechanism for realizing channel-associated detection based on the INT protocol has also brought new opportunities for the TSN redundancy protocol. The INT protocol not only can support information collection and reporting of network nodes, but also can skillfully solve the problem of abnormal detection of the TSN redundancy protocol.
Therefore, the application perfectly solves the problem of TSN anomaly detection by utilizing the organic combination of the INT protocol and the TSN802.1CB redundancy protocol, and also ensures the network reliability in the fields of industrial automation and automatic driving.
Disclosure of Invention
In order to solve the defects existing in the prior art, the application aims to provide a TSN abnormality detection method and a TSN abnormality detection system, wherein a TSN802.1CB redundancy protocol and an INT protocol are deployed on a switching node, a TSN abnormality detection mechanism based on the INT protocol is deployed on a computing node, the TSN abnormality detection mechanism is realized by utilizing the information acquisition and data bearing capacity of the INT protocol, and the reliability of a network in the fields of industrial automation and automatic driving is ensured.
In order to achieve the purpose of the application, the technical scheme adopted by the application is as follows:
a TSN abnormality detection system comprises a control node, a switching node and a calculation node; the control node realizes standard Ethernet encapsulation of control data and sends the standard Ethernet encapsulation to the switching node; the switching node has a TSN802.1CB redundancy function and realizes redundancy copy of control data; the system has the INT function, realizes the collection of state information node by node, encapsulates the state information into INT metadata, and sends the INT metadata to the computing nodes along with control data; and the computing node deploys a TSN abnormality detection mechanism based on an INT protocol, analyzes the state information of the full-path node based on all INT metadata, and identifies abnormal conditions.
Further, based on the TSN802.1CB redundancy protocol, reliable data transmission between the control node and the computing node is realized by means of double-link simultaneous redundancy transmission of the switching node.
Further, the control node performs encapsulation processing of the control data message based on the ethernet protocol, and transmits the control data message to the switching node 0 through the ethernet link;
a switching node 0, based on configuration enabling INT function, adding an INT message header into the control data message, generating a new control data message, and transmitting the new control data message to the switching node 1 through an Ethernet link; and simultaneously sent to the switching node 2 via an ethernet link;
the switching node 1 writes the key state information of the current node into the INT metadata 1 based on configuration enabling INT function, adds the INT metadata in the control data message and sends the control data message to the switching node 3 through an Ethernet link;
the switching node 2 writes the key state information state of the current node into the INT metadata 2 based on the configuration enabling INT function, adds the INT metadata in the control data message and sends the control data message to the switching node 3 through an Ethernet link;
the switching node 3 is used for filling key state information of the current node into the INT metadata 3 based on configuration enabling INT function, integrating the INT metadata 1 and the INT metadata 2 respectively and transmitting the key state information to the computing node through an Ethernet link;
the calculation node deploys a TSN abnormality detection mechanism based on an INT protocol, and makes an abnormality detection result of the whole TSN network system based on the total INT metadata 1, the INT metadata 2 and the INT metadata 3.
A TSN abnormality detection method includes the steps of:
(1) The control node initiates data transmission, encapsulates the control data message into a standard Ethernet data frame and transmits the control data message to the switching node 0 through an Ethernet link;
(2) The switching node 0 initiates a copy function based on a TSN802.1CB redundancy protocol, divides a control data message sent by a control node into two identical parts, and encapsulates the control data message into a TSN redundancy frame format; meanwhile, the switching node 0 enables the INT function, triggers two redundant data to be respectively added with the INT message header after the TSN message header of the TSN redundant frame, and sends the two redundant data to the next-hop switching nodes 1 and 2 based on two paths in different directions;
(3) The switching node 1 receives a control data message carrying a TSN message header and an INT message header, writes key state information of the current node into INT metadata 1, encapsulates the INT message header, and then continues to send to the next hop switching node 3; the switching node 2 receives the control data message carrying the TSN header and the INT message header, writes the key state information of the current node into INT metadata 2, encapsulates the INT message header, and then continues to send to the next-hop switching node 3;
(4) A switching node 3 receives control data messages carrying TSN message heads, INT metadata 1 and INT metadata 2 from two directions respectively; based on the key state information of the current node, the INT metadata 3 are added to the control data message before being sent to the computing node;
(5) The computing node receives two control data messages carrying different INT message heads and INT metadata in a preset time and detects abnormal information; if only one control data message carrying the INT message header and the INT metadata is received within a preset time, an abnormal occurrence reporting alarm is detected.
Further, in the step (5), the detection of the abnormality information includes: and analyzing the state information of the full-path nodes based on all INT metadata by using a TSN abnormality detection mechanism based on an INT protocol, and identifying abnormal conditions.
Further, the node status information includes an identification of the switching node, a congestion status, and a timestamp.
Further, the control node comprises an ETH message header and control data; the switching node 0 comprises an ETH message header, an INT message header and control data; the switching node 1 comprises a TSN message head, an INT message head, INT metadata 1 and control data; the switching node 2 comprises a TSN message head, an INT message head, INT metadata 2 and control data; the switching node 3 comprises a TSN message head, an INT message head, INT metadata 1, INT metadata 2, INT metadata 3 and control data; the computing node comprises an ETH message head, an INT message head, INT metadata 1, INT metadata 2, INT metadata 3 and control data.
The application has the advantages that compared with the prior art,
the application deploys the node state acquisition function on all Ethernet switching nodes of the whole path through the effective fusion of the TSN802.1CB redundancy protocol and the INT protocol, realizes the TSN anomaly detection of industrial automation and automatic driving control, and also provides important guarantee of functional safety for industrial 4.0 and automatic driving technology.
The application is suitable for a system for realizing TSN abnormality detection based on INT protocol through a computing node, and ensures that the data security of industrial control and automatic driving control can be achieved and the control instruction can be executed correctly.
Drawings
FIG. 1 is a network topology of a TSN anomaly detection system;
FIG. 2 is a timing diagram of a TSN anomaly detection method;
fig. 3 is a TSN anomaly detection protocol encapsulation diagram.
Detailed Description
The technical scheme of the application is further described below with reference to the accompanying drawings and examples. The following examples are only for more clearly illustrating the technical aspects of the present application, and are not intended to limit the scope of the present application.
As shown in FIG. 1, the TSN abnormality detection system provided by the application realizes reliable transmission and real-time abnormality detection of control data in the industrial automation and automatic driving fields based on a TSN802.1CB redundancy protocol and an INT protocol. Specifically, the system comprises a control node, a switching node and a computing node; the control node realizes standard Ethernet encapsulation of control data; the switching node has a TSN802.1CB redundancy function and realizes redundancy copy of control data; the system has the INT function, realizes the collection of state information node by node, encapsulates the state information into INT metadata, and sends the INT metadata to the computing nodes along with control data; the computing node is deployed with a TSN abnormality detection mechanism based on an INT protocol, can analyze all INT metadata according to a protocol format, and identifies abnormal conditions based on the analyzed full-path node state information.
In the field of industrial automation and autopilot, in many scenarios, high reliability needs to be guaranteed for data transmission between control nodes to computing nodes. The application is based on TSN802.1CB redundancy protocol, and realizes high reliability of data transmission between the control node and the computing node by means of double-link simultaneous redundancy transmission of the switching node. Furthermore, the INT technology is fused, and an abnormality detection mechanism of TSN802.1CB redundancy protocol deletion is realized.
Specifically, the control node is responsible for processing the control data packet encapsulation based on the ethernet protocol and transmits the control data packet encapsulation to the switching node 0 through the ethernet link a. The switching nodes form a TSN802.1CB redundant network topology. A switching node 0, based on configuration enabling INT function, adding an INT message header into the control data message, generating a new control data message, and transmitting the new control data message to a switching node 1 through an Ethernet link C; and simultaneously to the switching node 2 via the ethernet link B. The switching node 1 writes the key state information of the current node into the INT metadata 1 based on the configuration enabling INT function, adds the INT metadata in the control data message, and sends the control data message to the switching node 3 through the Ethernet link E. The switching node 2 writes the key state information state of the current node into the INT metadata 2 based on the configuration enabling INT function, adds the INT metadata in the control data message, and sends the control data message to the switching node 3 through the Ethernet link D. The switching node 3, based on configuration enabling INT function as well, fills the key state information of the current node into INT metadata 3, integrates INT metadata 1 and INT metadata 2 respectively, and sends to the computing node through Ethernet link F. And the computing node deploys an INT protocol analysis and detection mechanism, and makes an abnormal detection result of the whole TSN network system based on the total INT metadata 1, the INT metadata 2 and the INT metadata 3.
As shown in fig. 2, a timing diagram for implementing the TSN anomaly detection method based on the TSN802.1CB redundancy protocol and the INT protocol includes a control node, switching nodes 0, 1, 2, 3, and a computing node. The method specifically comprises the following steps:
stage 1, the control node initiates data transmission, encapsulates the control data message into a standard ethernet data frame, and transmits the control data message to the switching node 0 through the ethernet link.
Stage 2, the switching node 0 initiates a copy function based on TSN802.1CB redundancy protocol, divides the control data message sent by the control node into two identical parts, and encapsulates the control data message into a TSN redundancy frame format; meanwhile, the switching node 0 enables the INT function, triggers two redundant data to be added with the INT message header after the TSN message header of the TSN redundant frame respectively, and sends the two redundant data to the next-hop switching nodes 1 and 2 based on two paths in different directions.
And 3, the switching node 1 receives the control data message carrying the TSN message header and the INT message header, writes the key state information of the current node into INT metadata 1, encapsulates the INT message header, and then continues to send to the next-hop switching node 3. The switching node 2 receives the control data message carrying the TSN message header and the INT message header, writes the key state information of the current node into INT metadata 2, encapsulates the INT message header, and then continues to send to the next hop switching node 3.
Stage 4, switching node 3 receives control data message carrying TSN message header, INT metadata 1, INT metadata 2 from two directions; and then based on the key state information of the current node, the INT metadata 3 is added to the control data message before being sent to the computing node together.
Stage 5, if the computing node receives two control data messages carrying different INT message heads and INT metadata in a preset time, detecting abnormal information, such as key information of a switching node, a congestion state, a time stamp and the like; if only one control data message carrying the INT message header and the INT metadata is received within a preset time, an abnormality is detected, and an alarm needs to be timely reported to a relevant safety module for processing.
As shown in fig. 3, a protocol encapsulation diagram for implementing TSN anomaly detection based on the TSN802.1CB redundancy protocol and the INT protocol.
And the control node encapsulates the control data and the Ethernet frame header to form a standard Ethernet data message for transmission. The control node comprises an ETH message header and control data.
The switching node 0 copies out two identical control data based on TSN802.1CB redundant protocol specifications and modifies the control data into a TSN head; an INT header is then added to both shares based on the INT function enabled by the switching node. The switching node 0 comprises an ETH message header, an INT message header and control data.
The switching node 1 adds key state information of the current node based on the INT function enabled by the switching node, and generates INT metadata 1 after being packaged into an INT head. The switching node 1 comprises a TSN message head, an INT message head, INT metadata 1 and control data.
The switching node 2 adds key state information of the current node based on the INT function enabled by the switching node, and generates INT metadata 2 after being packaged into the INT head. The switching node 2 comprises a TSN message header, an INT message header, INT metadata 2 and control data.
The switching node 3 firstly eliminates redundant control data and modifies the redundant control data into a standard Ethernet frame head based on the TSN802.1CB redundant protocol specification, and buffers INT head and INT metadata information; and based on the INT function enabled by the switching node, the INT metadata 1, the INT metadata 2 and the key state information of the current node are INT metadata 3, and a standard Ethernet data message carrying control data is generated and sent to the computing node. The switching node 3 comprises a TSN header, an INT header, INT metadata 1, INT metadata 2, INT metadata 3 and control data.
And the computing node receives the control data packaged with the INT metadata, analyzes all the INT metadata and judges whether abnormal information of the TSN redundant network exists or not. The computing node comprises an ETH message head, an INT message head, INT metadata 1, INT metadata 2, INT metadata 3 and control data.
The application has the advantages that compared with the prior art,
the application realizes the in-band packet following detection of the TSN by simultaneously deploying the 802.1CB redundancy function and the INT function on the TSN switching node, thereby not only effectively utilizing the transmission link of the redundancy network, but also effectively solving the problem that the 802.1CB does not support abnormal or fault point detection.
According to the application, by disposing the anomaly detection mechanism on the computing node, the reliable receiving of control data is ensured, the detection capability of TSN anomaly nodes is also ensured, and the safety and reliability of industrial automation and automatic driving control of vehicles are greatly improved.
The application is suitable for realizing the data transmission safety of industrial 4.0 and vehicle-mounted automatic driving systems through the TSN switching nodes, ensuring that the automatic driving perception data is accurate and reliable, and the industrial automatic control instruction can be correctly executed.
While the applicant has described and illustrated the embodiments of the present application in detail with reference to the drawings, it should be understood by those skilled in the art that the above embodiments are only preferred embodiments of the present application, and the detailed description is only for the purpose of helping the reader to better understand the spirit of the present application, and not to limit the scope of the present application, but any improvements or modifications based on the spirit of the present application should fall within the scope of the present application.
Claims (4)
1. The TSN abnormality detection system is characterized by comprising a control node, a switching node and a calculation node;
the control node realizes standard Ethernet encapsulation of control data and sends the standard Ethernet encapsulation to the switching node;
the switching node has a TSN802.1CB redundancy function and realizes redundancy copy of control data; the system has the INT function, realizes the collection of state information node by node, encapsulates the state information into INT metadata, and sends the INT metadata to the computing nodes along with control data;
based on TSN802.1CB redundancy protocol, the reliable data transmission between the control node and the computing node is realized by means of double-link simultaneous redundancy transmission of the switching node;
the computing node deploys a TSN abnormality detection mechanism based on an INT protocol, analyzes the state information of the full-path node based on all INT metadata, and identifies an abnormality; if only one control data message carrying the INT message header and the INT metadata is received within a preset time, detecting that an abnormality occurs and reporting an alarm;
the node status information includes an identification of the switching node, a congestion status, and a timestamp.
2. The TSN anomaly detection system according to claim 1, wherein the control node performs encapsulation processing of the control data message based on an ethernet protocol and transmits the control data message to the switching node 0 through an ethernet link;
a switching node 0, based on configuration enabling INT function, adding an INT message header into the control data message, generating a new control data message, and transmitting the new control data message to the switching node 1 through an Ethernet link; and simultaneously sent to the switching node 2 via an ethernet link;
the switching node 1 writes the key state information of the current node into the INT metadata 1 based on configuration enabling INT function, adds the INT metadata in the control data message and sends the control data message to the switching node 3 through an Ethernet link;
the switching node 2 writes the key state information state of the current node into the INT metadata 2 based on the configuration enabling INT function, adds the INT metadata in the control data message and sends the control data message to the switching node 3 through an Ethernet link;
the switching node 3 is used for filling key state information of the current node into the INT metadata 3 based on configuration enabling INT function, integrating the INT metadata 1 and the INT metadata 2 respectively and transmitting the key state information to the computing node through an Ethernet link;
the calculation node deploys a TSN abnormality detection mechanism based on an INT protocol, and makes an abnormality detection result of the whole TSN network system based on the total INT metadata 1, the INT metadata 2 and the INT metadata 3.
3. The TSN abnormality detection method is characterized by comprising the following steps:
(1) The control node initiates data transmission, encapsulates the control data message into a standard Ethernet data frame and transmits the control data message to the switching node 0 through an Ethernet link;
(2) The switching node 0 initiates a copy function based on a TSN802.1CB redundancy protocol, divides a control data message sent by a control node into two identical parts, and encapsulates the control data message into a TSN redundancy frame format; meanwhile, the switching node 0 enables the INT function, triggers two redundant data to be respectively added with the INT message header after the TSN message header of the TSN redundant frame, and sends the two redundant data to the next-hop switching nodes 1 and 2 based on two paths in different directions;
(3) The switching node 1 receives a control data message carrying a TSN message header and an INT message header, writes key state information of the current node into INT metadata 1, encapsulates the INT message header, and then continues to send to the next hop switching node 3; the switching node 2 receives the control data message carrying the TSN header and the INT message header, writes the key state information of the current node into INT metadata 2, encapsulates the INT message header, and then continues to send to the next-hop switching node 3;
(4) A switching node 3 receives control data messages carrying TSN message heads, INT metadata 1 and INT metadata 2 from two directions respectively; based on the key state information of the current node, the INT metadata 3 are added to the control data message before being sent to the computing node;
(5) A computing node receives two control data messages carrying different INT message heads and INT metadata in a preset time, analyzes the state information of the full-path node based on all the INT metadata based on a TSN abnormality detection mechanism of an INT protocol, and identifies abnormal conditions; if only one control data message carrying the INT message header and the INT metadata is received within a preset time, an abnormal occurrence reporting alarm is detected.
4. The TSN anomaly detection method of claim 3, wherein the control node comprises an ETH header and control data; the switching node 0 comprises an ETH message header, an INT message header and control data; the switching node 1 comprises a TSN message head, an INT message head, INT metadata 1 and control data; the switching node 2 comprises a TSN message head, an INT message head, INT metadata 2 and control data; the switching node 3 comprises a TSN message head, an INT message head, INT metadata 1, INT metadata 2, INT metadata 3 and control data; the computing node comprises an ETH message head, an INT message head, INT metadata 1, INT metadata 2, INT metadata 3 and control data.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3573294A1 (en) * | 2018-05-25 | 2019-11-27 | SOLiD INC | Distributed antenna system and method of operation thereof |
| KR20200047293A (en) * | 2018-10-26 | 2020-05-07 | 주식회사 쏠리드 | Distributed antenna system and operating method thereof |
| CN111769998A (en) * | 2019-08-13 | 2020-10-13 | 北京京东尚科信息技术有限公司 | Method and device for detecting network delay state |
| CN112422700A (en) * | 2021-01-25 | 2021-02-26 | 奥特酷智能科技(南京)有限公司 | Vehicle-mounted network redundant communication method and system based on DDS (direct digital synthesizer) protocol and TSN (time delay network) technology |
| CN112511376A (en) * | 2020-11-12 | 2021-03-16 | 鹏城实验室 | Method and terminal for measuring TSN network forwarding time characteristic |
| CN113396598A (en) * | 2018-12-11 | 2021-09-14 | 株式会社Ntt都科摩 | User terminal and wireless communication method |
| CN113711572A (en) * | 2021-07-15 | 2021-11-26 | 新华三技术有限公司 | Message transmission method and device |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10439940B2 (en) * | 2017-10-19 | 2019-10-08 | Cisco Technology, Inc. | Latency correction between transport layer host and deterministic interface circuit |
-
2022
- 2022-06-21 CN CN202210706669.7A patent/CN114978754B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3573294A1 (en) * | 2018-05-25 | 2019-11-27 | SOLiD INC | Distributed antenna system and method of operation thereof |
| KR20200047293A (en) * | 2018-10-26 | 2020-05-07 | 주식회사 쏠리드 | Distributed antenna system and operating method thereof |
| CN113396598A (en) * | 2018-12-11 | 2021-09-14 | 株式会社Ntt都科摩 | User terminal and wireless communication method |
| CN111769998A (en) * | 2019-08-13 | 2020-10-13 | 北京京东尚科信息技术有限公司 | Method and device for detecting network delay state |
| CN112511376A (en) * | 2020-11-12 | 2021-03-16 | 鹏城实验室 | Method and terminal for measuring TSN network forwarding time characteristic |
| CN112422700A (en) * | 2021-01-25 | 2021-02-26 | 奥特酷智能科技(南京)有限公司 | Vehicle-mounted network redundant communication method and system based on DDS (direct digital synthesizer) protocol and TSN (time delay network) technology |
| CN113711572A (en) * | 2021-07-15 | 2021-11-26 | 新华三技术有限公司 | Message transmission method and device |
Non-Patent Citations (1)
| Title |
|---|
| No.7共路信令测试技术;李景清, 吴平, 张云麟;数字通信(第03期);全文 * |
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