Automation method for wireless resource data cleaning and checking

Abstract

The invention provides an automation method for wireless resource data cleaning and checking and belongs to a wireless network optimization technology. The method comprises the steps that (1) multi-dimensional data is analyzed and cleaned, and data resources such as wireless network nodes, wireless hardware and station planning can be cleaned automatically; (2) a problem is positioned, wherein the problem is positioned to integrity, relevance and business logic accuracy, and the problem can be solved more easily; (3) closed-loop management is conducted, so continuous improvement of data quality can be ensured; and (4) visualized management is conducted, wherein assessment management of the wireless resource data quality can be achieved. Through cleaning of wireless network node data, wireless hardware data, performance data and station planning data are cleaned; the problem is positioned automatically, and a corresponding solution is given; the data quality can be improved rapidly and efficiency; and the field of wireless network optimization can be supported more effectively.

Description

technical field [0001] The invention relates to wireless network optimization technology, in particular to an automatic method for realizing wireless resource data cleaning and auditing. Background technique [0002] Wireless network resource data needs to support application scenarios such as network optimization, centralized fault management, and centralized performance. Among them, data such as BTS, NODEB, E-NODEB, cells, antennas, and iron towers are important references for production scenarios such as network optimization. The accuracy of resource data Sex is also very important. However, due to the mechanical angle / down angle of the antenna, the height of the iron tower, hardware resources, and space resources, etc. are dumb resources, on-site verification of the antenna and iron tower resources requires climbing the tower, and it is difficult to collect and verify on-site, resulting in the frequency of data update and maintenance in the system Low, leading to many...

AI Technical Summary

Problems solved by technology

[0004] At present, there is no systematic method to automatically clean wireless resource data, resulting in problems such as uneven data quality, low data quality, and slow data quality improvement.

[0005] (2) Unable to automatically locate the problem

[0006] The traditional manual verification mainly depends on the familiarity of the optimization personnel with the network. Using the method of manual station-by-site verification not only has low efficiency and cannot guarantee accuracy, but also has problems of inaccurate positioning and missing checks

Although the effect of data quality is not obvious after multiple rounds of verification

[0007] (3) Traditional verification cannot carry out closed-loop management

[0008] Traditional verification methods cannot carry out closed-loop management, and cannot effectively and accurately evaluate the verification effect

The enthusiasm of mobile branches is not high

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