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A method and system for analyzing network capability of residential area based on big data

A residential area and data technology, applied in the field of big data processing, can solve problems such as inaccurate analysis results and low efficiency

Active Publication Date: 2020-08-04
BEIJING MATARNET TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the situation of network coverage in residential areas is investigated manually, which is not only inefficient, but also may lead to inaccurate analysis results due to human subjective factors.

Method used

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  • A method and system for analyzing network capability of residential area based on big data
  • A method and system for analyzing network capability of residential area based on big data
  • A method and system for analyzing network capability of residential area based on big data

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Embodiment Construction

[0034] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0035] figure 1 A schematic flowchart of a large data-based residential area network capability analysis method provided by an embodiment of the present invention, as shown in figure 1 As shown, the method includes:

[0036] Step 101: Obtain data source information for a preset number of days, the data source information includes: MRO data, resi...

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Abstract

The embodiment of the invention provides a method and system for analyzing network capability in a residential area based on big data. The method includes the steps of acquiring MRO data, residentialarea information, home-broadband community information, LTE signaling and home-guest resources of a preset number of days; utilizing a residential area and wireless community association model, a residential area and resident user association model, a residential area and home-broadband community association model and a home-broadband potential target user identification model for analyzing to obtain an association relationship between the residential area, the wireless community and the home-broadband community; and outputting the association relationship as an analysis result. The system isused for performing the method. The method and system utilize the residential area and wireless community association model, the residential area and resident user association model, the residential area and home-broadband community association model and the home-broadband potential target user identification model for analyzing to obtain the relationship between the residential area, the wirelesscommunity and the home-broadband community so that the network coverage in the residential area can be efficiently and accurately analyzed.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of big data processing, and in particular, to a method and system for analyzing network capabilities of residential areas based on big data. Background technique [0002] With the development of network and market scale in 4G and broadband services, it is increasingly necessary for us to carry out refined network construction and marketing. For the network, 4G deep coverage: Through the analysis of data such as MR, test, and complaints, the main problems of the current network are concentrated in urban high-rise indoors and residential areas. In 2017, the construction of 4G macro stations will be reduced, and the construction of 4G deep coverage will be focused on. [0003] At present, the policy of broadband optical transformation is being implemented. The churn rate of low-bandwidth users below 20 Mbps is twice that of high-bandwidth users above 20 Mbps. The prerequisite for accelera...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2458G06F16/25G06F16/22
CPCG06F16/22G06F16/2465G06F16/2471G06F16/25
Inventor 王迪于洁
Owner BEIJING MATARNET TECH