Data cluster marshalling method and system for distributed cluster sensors

A distributed cluster and data cluster technology, applied in the field of Internet of Things, can solve the problems such as the inability to truly improve the efficiency of data exchange and sharing, and the difficulty of data exchange, so as to reduce the waste of repeated data processing, improve management efficiency, and solve the effect of information islands.

Active Publication Date: 2015-01-21
SHANGHAI RONGJUN TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, although simple packaging or data fusion processing solves the problem of data transmission to a certain extent, it cannot really improve the efficiency of data exchange and sharing. There are still great difficulties in data exchange between different application fields and different industries.

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  • Data cluster marshalling method and system for distributed cluster sensors
  • Data cluster marshalling method and system for distributed cluster sensors
  • Data cluster marshalling method and system for distributed cluster sensors

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Embodiment Construction

[0037] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0038] The present invention is based on the standardized data coding format and the automatic generation technology of the data coding. After the agreed rules are encoded, the scattered small data is formed into a data stream containing all sensor data information, and then data transmission, storage, exchange and sharing are completed in this form, reducing redundant data information and improving data management. Efficiency and utilization of network resources.

[0039] Such as figure 1As sho...

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Abstract

The invention provides a data cluster marshalling method and system for distributed cluster sensors. Sensor nodes send collected data to a sink node in a timed mode, and the sink node binds prefix and postfix information to the data and temporarily stores the data; after the data collected by all the sensors in the range of the sink node are all transmitted to the sink node, the sink node conducts clustered marshalling on the data collected by the different sensors according to convention rules, and a complete data code stream is formed and stored temporarily; the data are finally sent to a storage center by a control center to be stored; the prefix information represents data source information and data classification information, and the postfix information is used for indicating administration authority, time information and spatial information of the data. According to the data cluster marshalling method and system for the distributed cluster sensors, the scattered sample data are synthesized into the complete data stream, so transmission, storage, exchange and sharing of the data are completed in the mode, and data sharing and transmission efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a data cluster grouping method and system for distributed cluster sensors that facilitate data sharing and transmission. Background technique [0002] The Internet of Things is an extended and expanded network based on the Internet, which extends and extends the terminal to any item. The emergence of computers and the Internet has created a large amount of data. The Internet of Things will create far more data than the Internet. The Internet of Things contains hundreds of millions of nodes, representing various objects, from small ubiquitous sensor devices to handheld devices. From large-scale network servers and supercomputer clusters, a large amount of data is generated all the time in various forms, such as structured data, semi-structured data, streaming data, and multidimensional data. Smaller data, as well as noisy data, have different properties, processing...

Claims

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Application Information

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IPC IPC(8): H04L29/08H04L29/06
CPCH04L67/12H04L67/565H04L67/566
Inventor 薛海中张焕芹
Owner SHANGHAI RONGJUN TECH
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