Early warning method of mobile key business, and early warning device of mobile key business

Abstract

An early warning method of a mobile key business disclosed by the present invention comprises the steps of selecting a key index from the to-be-selected business indexes of the mobile key business; extracting the data of a mobile key business data source from a bottom-layer interface, and adding the extracted data in a key index list according to the key index and a preset format; calculating the predicted values of the key indexes by the business data corresponding to the key indexes in the key index list; calculating the key index fluctuation ratio corresponding to the predicted value of each key index, and determining whether the key index is warned by the key index fluctuation ratio. The present invention also discloses an early warning device of the mobile key business. According to the present invention, the system problem can be discovered actively, the labor cost is reduced, and the early warning capability and management efficiency are improved.

Description

technical field [0001] The invention relates to management technology in the field of mobile communication, in particular to an early warning method and device for mobile key services. Background technique [0002] In the business operation system, a large amount of time series data closely related to the business is collected and incorporated into the management system of the data warehouse, but in the management system, the management of the above data is in the report display stage; and, the current business operation system monitors To a large extent, the idea is still in response to business operation problems, rather than proactive early warning monitoring. [0003] Existing business management systems use network devices and nodes as monitoring objects when performing configuration, early warning, and performance analysis, and do not refine specific business indicators. Therefore, they cannot directly and effectively reflect business operation status. Monitoring and ...

AI Technical Summary

Problems solved by technology

[0003] Existing business management systems use network devices and nodes as monitoring objects when performing configuration, early warning, and performance analysis, and do not refine specific business indicators. Therefore, they cannot directly and effectively reflect business operation status. Monitoring and Analysis from a Business Perspective

At the same time, in the past, problems such as low efficiency of manual processing of business operation monitoring alarms, insufficient range and accuracy of early warnings have become very prominent at present

[0004] It can be seen that the business management system in the prior art cannot actively discover system problems, and cannot reduce labor costs, and cannot improve management efficiency and service levels

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