Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Rule-driven data transmission method

A data transmission method and data transmission technology, applied in the field of rule-driven data transmission, can solve the problem of inability to fine-grained refining distribution tasks, lack of distribution task constraints and feature attributes and business rule interpretation mechanisms, difficult feature decomposition, combination and matching and other problems to achieve the effect of facilitating transmission rules and optimizing overall task scheduling and transmission

Inactive Publication Date: 2014-07-30
中国人民解放军61741部队
View PDF4 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Existing methods are relatively coarse-grained, and cannot refine the attribute characteristics of distribution tasks in a fine-grained manner, and it is difficult to automatically realize the decomposition, combination and matching of features
The main problems include: 1) lack of feature classification system for distribution tasks, fine-grained division of various features of distribution tasks; 2) lack of interpretation mechanism for constraints, feature attributes and business rules represented by distribution tasks
3) Lack of a complete rule-based task scheduling and transmission process

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Rule-driven data transmission method
  • Rule-driven data transmission method
  • Rule-driven data transmission method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] The implementation of the method of the present invention will be described in detail below with implementation.

[0048] Different distribution tasks have different distribution constraints. For example, data with a high security level needs to use a channel with a high security level for data transmission by default; some distribution tasks need to be transmitted to all target nodes within a specified time, etc. The constraints of these distribution tasks can achieve the optimal scheduling and transmission of distribution tasks through feature attributes, business rule parsing and conversion, and rule-driven task scheduling.

[0049] According to business experience, generally there are more than 20 second-level nodes and more than 100 distribution target nodes, and the distribution tasks with data size less than 1M are transmitted by satellite network. This example is summed up through a large amount of distribution experience, but in terms of automatic summary of bu...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a rule-driven data transmission method. The method comprises the steps that (1) constraint condition decomposition is carried out on historical distribution tasks of each candidate data transmission network to obtain the characteristic attribute of each historical task of the corresponding network; (2) a common characteristic attribute of the historical tasks of each network is determined, a network business rule is built according to each common characteristic attribute, and the business rules of all the networks are built into a business rule chain; (3) the characteristic attribute of each task to be distributed is extracted from the constraint condition of the task to be distributed; (4) characteristic matching is carried out on the characteristic attribute of the task and the business rule chain, and if a matched business rule exists, data transmission is carried out on the task by the adoption of the network corresponding to the business rule; if not, matching is carried out on the constraint condition of the task and characteristic attributes of data, channels and nodes, and data transmission is carried out on the task by selecting one candidate network. According to the rule-driven data transmission method, optimization scheduling can be formed on the basis that the constraint conditions of the tasks are matched with the business rules.

Description

technical field [0001] The invention belongs to the technical field of information resource transmission (Resource Dispatch), and relates to a rule-driven data transmission method. Background technique [0002] Taking meteorological data transmission as an example, at present, the global communication system of the World Meteorological Organization, the national meteorological communication system and the industrial meteorological communication network all adopt a variety of communication methods to meet the operational transmission requirements of large-scale, high time-efficiency and large data volume. The basic model is to realize rapid broadcasting and distribution of information based on satellite communication and upload data in areas that are difficult to cover with cable, to realize big data exchange between backbone nodes and high-quality audio and video information interaction such as video conference based on ground dedicated lines, and to realize information publi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08G06F17/30
Inventor 黄瑞芳黄俊领陈鹏刘金胜赵思楠王晓鸣李雪飞
Owner 中国人民解放军61741部队
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com