IoT (Internet of Things) data high-efficiency analysis method

An analysis method and technology of a data analysis system, applied in the field of efficient data analysis of the Internet of Things, can solve problems such as the inability to quickly extract valuable information, and the fastest service for Internet of Things business decisions, and achieve the effect of improving data processing efficiency

Inactive Publication Date: 2015-09-02
成都艺辰德迅科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing Internet of Things is still not fast enough for analysis, processing, storage, and mining in the face of massive business data, so

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  • IoT (Internet of Things) data high-efficiency analysis method

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Embodiment Construction

[0018] The following and accompanying appendices illustrating the principles of the invention Figure 1 A detailed description of one or more embodiments of the invention is provided together. The invention is described in connection with such embodiments, but the invention is not limited to any embodiment. The scope of the invention is limited only by the claims and the invention encompasses numerous alternatives, modifications and equivalents. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. These details are provided for the purpose of example and the invention may be practiced according to the claims without some or all of these specific details.

[0019] One aspect of the present invention provides an efficient analysis method for Internet of Things data. figure 1 It is a flowchart of an efficient analysis method for Internet of Things data according to an embodiment of the pres...

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Abstract

The invention provides an IoT (Internet of Things) data high-efficiency analysis method. The method comprises the steps that a data analysis system uses Hadoop as a platform, carries out filtering, conversion and merging processing of radio frequency tag data in the IoT and stores the radio frequency tag data in a distributed system; a replication strategy is applied to store a copy of a data file on different nodes and a data processing strategy of Map/Reduce is stored in a strategy storage node; a main program creates and manages a task to be executed, the task is distributed to a working program which is in an idle state, the working program is combined with Map/Reduce to carry out operation processing and then a final result is summarized by the main program and is fed back to a user. The invention provides the IoT data high-efficiency analysis method. A distributed processing mode is adopted to implement analysis and mining of massive IoT data. Data processing efficiency of the IoT is effectively improved.

Description

technical field [0001] The invention relates to the Internet of Things, in particular to a method for efficiently analyzing data of the Internet of Things. Background technique [0002] The Internet of Things enables users to sense, collect and perceive information. However, in the process of information exchange and communication using the Internet of Things, massive data such as radio frequency data and sensor data will be generated. The continuous increase of these data increases the difficulty for users to obtain useful information from them. In order to improve the data processing function of the Internet of Things, the existing technology combines the application of cloud computing and big data technology to build a cloud model of millions of computer clusters, and use distributed computing technology and storage mechanism to enhance the computing function of the Internet of Things. However, the existing Internet of Things is still not fast enough for analysis, proces...

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Application Information

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IPC IPC(8): G06F19/00H04L29/08
Inventor 王美婷
Owner 成都艺辰德迅科技有限公司
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