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Scene-based multi-source data fusion analysis method and system

A multi-source data and structured data technology, applied in the field of data fusion, can solve the problems of data protocol diversification and inconsistency, storage inconsistency, data clutter, etc.

Pending Publication Date: 2021-11-05
武汉东湖大数据交易中心股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the popularization of big data, all forms of data are constantly accumulating as a resource waiting to be utilized. However, due to the variety of data, wide sources and inconsistent protocols, there are data messiness, low quality and chaotic data structure. The problem of unequal storage, currently only the human brain can accurately understand the content of this type of data, but it has long been overwhelmed by the flood of big data, and most or at least 80% of the data cannot be processed or understood by the current IT system

Method used

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  • Scene-based multi-source data fusion analysis method and system
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  • Scene-based multi-source data fusion analysis method and system

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Embodiment 1

[0049] Embodiment 1 provided by the present invention is an embodiment of a method based on scene-based multi-source data fusion analysis provided by the present invention, combining figure 1 As can be seen, this embodiment includes:

[0050] Step 1. Obtain samples of multi-source data in the set scene. Multi-source data includes: structured data, semi-structured data and unstructured data.

[0051] In a possible embodiment, the method for obtaining multi-source data includes: the data of the business itself obtained from the Internet of Things in the setting scene, and the public related data captured from the Internet.

[0052] Specifically, the data generated by IoT devices in the Internet of Things is often structured and numerical. This part of the data is usually contained in the internal database table of the scene and stored in a structured manner. It is a non-public or semi-public publicly available data. The crawled relevant data published on the Internet usually e...

Embodiment 2

[0106] Embodiment 2 provided by the present invention is an embodiment of a scenario-based multi-source data fusion analysis system provided by the present invention. figure 2 A structural diagram of a scene-based multi-source data fusion analysis system provided for the embodiment of the present invention, combined with figure 2 It can be seen that this embodiment includes: a data acquisition module, a preprocessing module, a feature fusion module and a matching reasoning module.

[0107] The data acquisition module is used to acquire samples of multi-source data in the set scene, and the multi-source data includes: structured data, semi-structured data and unstructured data.

[0108] Specifically, the data acquisition module may include system fusion acquisition, Internet data acquisition and Internet of Things data acquisition units.

[0109] The preprocessing module is used for preprocessing multi-source data, and the preprocessing includes feature extraction.

[0110]...

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Abstract

The invention relates to a scene-based multi-source data fusion analysis method and system. The method comprises the steps: obtaining a sample of multi-source data of a set scene, and carrying out the preprocessing of the multi-source data, wherein the preprocessing comprises feature extraction; carrying out feature fusion on the preprocessed multi-source data by utilizing a probability density estimation method and then carrying out normalization processing to form a multi-source data feature set in the set scene; utilizing an association rule mining algorithm to extract association rules between characteristics in the multi-source data feature set and corresponding specific scene services, and matching and reasoning service applications and solutions in corresponding target scenes; extracting service characteristics and knowledge characteristics in a specific scene to serve as basic data for constructing knowledge and a service library in the specific scene, and then performing feature and knowledge fusion. Therefore, people can better obtain more insights from massive and complex multi-source data, intelligent cognition and automatic analysis of the multi-source data in the specific scene are realized. The power is provided for services in various scenes.

Description

technical field [0001] The present invention relates to the field of data fusion, in particular to a method and system for fusion analysis of scene-based multi-source data. Background technique [0002] With the popularization of big data, all forms of data are constantly accumulating as a resource waiting to be utilized. However, due to the variety of data, wide sources and inconsistent protocols, there are data messiness, low quality and chaotic data structure. The problem of unequal storage is that only the human brain can accurately understand the content of this type of data, but it has long been overwhelmed by the flood of big data. Most or at least 80% of the data cannot be processed or understood by the current IT system. Contents of the invention [0003] Aiming at the technical problems existing in the prior art, the present invention provides a method and system based on scenario-based multi-source data fusion analysis, using multi-source data in specific scenar...

Claims

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Application Information

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IPC IPC(8): G06F16/906G06F16/903G06N5/04
CPCG06F16/906G06F16/90335G06N5/04
Inventor 杜乐
Owner 武汉东湖大数据交易中心股份有限公司