Abnormal entity object monitoring method and device

Abstract

The invention discloses an abnormal entity object monitoring method and device, and the method comprises the steps: collecting business operation data transmitted by an object end; performing data analysis on the business operation data to obtain first entity object state data of the object end; judging whether the first entity object state data of the object end is abnormal state data or not, ifyes, generating an entity object state checking instruction, and presenting entity object checking information in a release page according to the entity object state checking instruction; receiving second entity object state data sent after the first client accesses the release page to obtain entity object check information; and determining a monitoring result of the abnormal entity object according to the second entity object state data. According to the scheme, exception monitoring for the global data of the object end is realized, the existence of an exceptional entity object can be quicklyand automatically discovered, and entity object check information can be conveniently processed by the first client.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method and device for monitoring abnormal entity objects. Background technique [0002] In the existing technology, in order to facilitate the use of users, the business platform will establish business relationships with multiple object ends. Taking the object end as the store end as an example, the user can easily obtain the store corresponding to the store end by querying the business platform. information. In order to ensure the accuracy of store information, the business platform needs to monitor the store status. The existing monitoring of store status mainly relies on manual visits and inspections. Specifically, the business verification staff regularly visits and inspects each store one by one to obtain the actual operating status of the store and determine whether there are Unusual store. However, stores are distributed in a wide range of regions and in large n...

AI Technical Summary

Problems solved by technology

However, stores are distributed in a wide range of regions and in large numbers. Using the existing store status monitoring solution requires a large number of business verification staff, and the platform has high labor costs, which is very time-consuming and labor-intensive, making the store status monitoring efficiency low.

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