Base station database inspection method based on Drools rule engine

Abstract

The invention discloses a base station database inspection method based on a Drools rule engine. The method is characterized by utilizing the Drools rule engine to separate program modification processing and business inspection logic. The method includes the following steps: 1) dividing base station data inspection condition into two scenes, respectively a single table inspection scene and an intersection inspection scene; 2) determining a field model for base station data inspection; 3) conducting field inspection according to different scenes and controlling the drools rule engine through the business inspection logic, conducting inspection processing according to an inspection rule description file and feeding an inspection result to the program modification processing to conduct interface display to enable the user to conduct modification. The base station database inspection method based on the Drools rule engine utilizes the rule engine to separate the business logic and coding, achieves direct control management of business logic by a customer and is capable of inspecting base data to be processed in high efficiency through the Drools rule engine.

Description

technical field [0001] The invention relates to a data checking method, in particular to a base station database checking method based on a Drools rule engine. Background technique [0002] Data verification is an important task in the operation and maintenance of mobile communication networks. Through data verification, irregular data can be found in a timely and effective manner, and these data can also be modified to reduce errors and risks for the normal operation of mobile base stations. Data maintenance personnel provide convenience for maintaining data filling specifications. With the continuous increase of mobile base station data, the filling requirements of mobile base station data are also constantly changing, the error probability of base station data is increasing, and the maintenance of base station data is becoming more and more difficult. For example, the CGI fills out of bounds, the source type is not within the specified range, 2G LAC and 2G CI in the indo...

AI Technical Summary

Problems solved by technology

[0004] 1) Usually the Vortex rule engine is used to filter data, which is not efficient and has great limitations;

[0005] 2) At present, hard-coding is usually used for data verification, and it is difficult to modify business logic, and other maintenance work such as business logic changes in the later period is difficult;

[0006] 3) Most of the methods only monitor the abnormal business, rather than comprehensively analyze the data in the abnormal situation, and make changes to these data to make the system normal;

[0007] 4) The rule engine is used to process a single data object independently, which cannot reflect the relationship between multiple objects

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