Abnormal alarm method and apparatus for business object

Abstract

Embodiments of the invention provide an abnormal alarm method and apparatus for a business object. The method comprises: in a calculation cycle between adjacent reference time, receiving a business object adjustment event sent by middleware, wherein the business object adjustment event is generated when a client performs a business object adjustment operation; calculating reference business object quantity and accumulative business object adjustment quantity according to the business object adjustment event, wherein a reference storage value is business object quantity at current reference time, and the accumulative business object adjustment quantity is total business object adjustment quantity accumulated within the calculation cycle; when the reference business object quantity is less than the accumulative business object adjustment quantity, determining that the business object adjustment operation causes an abnormal state; and executing an alarm operation corresponding to the abnormal state. According to the abnormal alarm method and apparatus provided by the embodiments of the invention, real-time abnormal state monitoring of mass data is realized, manual processing is reduced, labor costs are reduced, and user loss is effectively reduced.

Description

technical field [0001] The present application relates to the technical field of monitoring, in particular to a business object abnormal alarm method and a business object abnormal alarm device. Background technique [0002] With the development and progress of science and technology, modern society has entered the information age, and information management has been widely used in all walks of life. [0003] Event-driven architecture (EventDriven Architecture, EDA) is a common architectural form of distributed applications, and distributed applications are designed to be modular, encapsulated, and shareable components of event services. [0004] In the EDA system, each component responds to events in an asynchronous manner, which can be parallel in nature, and has the characteristics of concurrent execution, event triggering / data triggering / time rule triggering, real-time / incremental response, and distributed event system processing. application has great advantages. [0...

AI Technical Summary

Problems solved by technology

Although the offline calculation method reduces the intervention of human analysis to a certain extent, it has a big disadvantage. When calculating massive data, it needs to be delayed for a long time (usually a natural day) to obtain the analysis results.

[0009] The above two methods are based on the mechanism of passive discovery and feedback. The abnormal state only occurs in the abnormal state. After the event, artificial feedback or statistical abnormal state data will cause great user losses.

Images