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A Group Semantic Message Filtering and Routing Method Based on Distributed Self-Organizing Structure

A message filtering and self-organizing technology, applied in transmission systems, electrical components, etc., can solve the problems of reduced system processing speed, complex system structure, poor real-time system response, etc., to achieve strong fault tolerance and scalability, meet performance requirements, High real-time effects

Active Publication Date: 2020-02-04
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The core is the message bus technology that supports semantics. It is the central link for integrating various manufacturing resources. It connects the manufacturing resource objects in the system through the message bus. The message bus is responsible for the communication between the objects participating in the integration. , event triggering and other mechanisms to achieve data sharing, the message bus relies on message channels to send and receive messages, each pair of interactive objects needs a matching message channel, however, as the number of objects participating in the interaction increases, the number of message channels will also increase With the increase, the system structure will become more and more complex. The multicast transmission method in the message bus will easily cause network congestion, resulting in a decrease in system processing speed and poor real-time response of the system, which cannot support the effective operation of the manufacturing control system. Message filtering and Routing must break through the requirements of message processing for high reliability and high-speed real-time performance, so the filtering and routing algorithms that support efficient and real-time transmission of large-scale messages are the focus of this invention's research

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  • A Group Semantic Message Filtering and Routing Method Based on Distributed Self-Organizing Structure
  • A Group Semantic Message Filtering and Routing Method Based on Distributed Self-Organizing Structure
  • A Group Semantic Message Filtering and Routing Method Based on Distributed Self-Organizing Structure

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Embodiment Construction

[0034] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0035] figure 1 It is a flow chart of the method of the present invention.

[0036] The method of the present invention adopts a distributed self-organizing system structure, and manufacturing resources such as management and control systems, equipment, personnel, and materials in the production workshop in intelligent manufacturing can freely choose to join or exit the message bus system, and each manufacturing resource object is used as an independent message node. The bus is responsible for maintaining the list of online message nodes and the message topics subscribed by each node. The heartbeat protocol is used to realize the global state information between each message node, and it can perform load balancing and restart the faulty node. For the subscription content of each message node, the filtering and routing algorithm TES-FRA-DNTB b...

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Abstract

The invention relates to a group semantic message filtering and routing method of a distributed self-organizing structure. Manufacturing resources subscribe topic messages to a message bus according to process characteristics, and send the generated messages to the message bus; the message bus adopts a method based on TES‑FRA‑DNTB The algorithm filters and routes the received messages; adds the processed messages to the message cluster, and compresses the message cluster; publishes the compressed message cluster to the manufacturing resources corresponding to the subscribed topic. The self-organizing system structure adopted by the present invention has load balancing function, and each manufacturing resource is an independent message node, which has strong fault tolerance and scalability, and realizes automatic restart for abnormally exiting faulty nodes, which has strong robustness ; The message filtering and routing algorithm TES‑FRA‑DNTB based on the similarity between subscriber topics and feature values ​​can handle large-scale messages and has high real-time performance, meeting the performance requirements in intelligent manufacturing.

Description

technical field [0001] The invention relates to the field of computer system data transmission, in particular to a group semantic message filtering and routing method of a distributed self-organizing structure. Background technique [0002] The future industrial manufacturing market will mainly focus on intelligent manufacturing. It is the general trend to build intelligent production lines in an all-round way and complete the transformation from manufacturing to intelligent manufacturing. [0003] Traditional manufacturing control systems mostly adopt central control architecture or hierarchical control architecture. They all adopt the internal control method of master-slave instruction control, that is, the controlled object should report its status to the superior controller and take actions completely according to the instructions issued by the superior controller. The central control unit has global information after collecting the status reports of each lower-level co...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08
CPCH04L67/54H04L67/5651H04L67/63
Inventor 胡国良史海波潘福成里鹏段彬
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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