Method for analyzing abnormal index based on rule engine

Abstract

The invention relates to a mobile communication technology field, in particular to an abnormal index analysis method. The method is implemented according to the following steps of: (1) establishing policies and setting corresponding service rules and motions; (2) regularly or immediately calling out corresponding policies according to the external trigger event; (3) extracting service data through a data service interface module and converting the data into fact data objects which can be identified by a rule engine; (4) adjusting the rule engine for carrying out intelligent matching of service rules and calling corresponding motions; (5) calling out corresponding sub-policies if the motion is associated with sub-policies and repeating the step (4) until the motion of service rule matched with the fact data object in the sub-policy is not associated with the sub-policy any more; and (6) recording the ergodic process of a policy tree and the analysis results of intermediate nodes, forming the final abnormal index analysis report and carrying out pre-warning. The method can automatically, quickly and accurately position to the reasons of events causing abnormal index.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to an abnormal index analysis method based on a rule engine. Background technique [0002] At present, in the major domestic communication operators, the operation monitoring and analysis has just started. For the analysis and processing of abnormal indicators, the following two methods are generally adopted: [0003] (1) It is completely based on the daily experience of business analysts and relies on artificial means for analysis. The defect of this method is that the problems in monitoring are often caused by many reasons. Only relying on the experience of analysts, it is impossible to quickly locate the cause of the event based on the monitored events, and the analysis method after each event cannot be retained as wealth. Come down to let the system automatically match and analyze the next time it is analyzed, and it cannot be shared with others. [0004] (2) Usin...

AI Technical Summary

Problems solved by technology

The disadvantages of this method are: 1) program = algorithm + data structure, some complex analysis rules are difficult to deduce the algorithm and abstract the data model; 2) software engineering requires from requirements -> design -> coding, but analysis rules Requirements and development stages are not yet clear, and they are still changing after design and coding. Using traditional programming methods, analysis rules are often embedded in codes everywhere in the system. For software developers, it is difficult, let alone impossible, to maintain and update the system Let business people manage

However, if software personnel are required to modify the program source code every time a monitoring event changes, it will cause heavy tasks for software developers and limit the scalability of the system.

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