Abnormal influence detection method and device, computer equipment and storage medium

A detection method and abnormal technology, applied in the computer field, can solve problems such as the lack of evaluation criteria, and achieve the effects of reducing human subjective influence, strengthening control, and objective versatility

Pending Publication Date: 2022-07-01
SF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional method relies on human analysis, is more affected by subjective factors, and lacks objective and universal evaluation criteria

Method used

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  • Abnormal influence detection method and device, computer equipment and storage medium
  • Abnormal influence detection method and device, computer equipment and storage medium
  • Abnormal influence detection method and device, computer equipment and storage medium

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Embodiment Construction

[0033] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

[0034] In one embodiment, as figure 1 As shown in the figure, an abnormal influence detection method is provided. In this embodiment, the method is applied to a server as an example for description. It can be understood that the method can also be applied to a terminal, and can also be applied to a system including a terminal and a server. And through the interaction between the terminal and the server. In this embodiment, the method includes the following steps S102 to S108.

[0035] S102, when an abnormality in the system is monitored, acquire abnormality informati...

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Abstract

The invention relates to an abnormal influence detection method and device, computer equipment and a storage medium. The method comprises the steps that when it is monitored that a system is abnormal, abnormal information is acquired, and the abnormal information comprises abnormal occurrence time; taking a preset time period after the exception occurrence time as an exception time period, and determining a monitoring parameter actual value corresponding to each to-be-monitored index according to the index data of each to-be-monitored index in the exception time period; determining a reference time period from historical monitoring time periods corresponding to the abnormal time period, and determining a monitoring parameter confidence interval corresponding to each to-be-monitored index according to the index data of each to-be-monitored index in the reference time period; and according to the monitoring parameter actual value and the monitoring parameter confidence interval corresponding to each to-be-monitored index, obtaining an influence degree detection result of abnormity on each to-be-monitored index. By adopting the method, the objective universality of abnormal influence detection can be improved.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, to a method, apparatus, computer device, and storage medium for detecting abnormal effects. Background technique [0002] The logistics system covers orders, receipt, transit, transportation, and delivery. If the system is abnormal, it may affect related downstream systems, user experience, and company revenue. For example, if there is an abnormality in the ordering system and the user cannot place an order, it will result in loss of revenue. Therefore, when an abnormality occurs in the system, it is necessary to detect the impact of the abnormal situation on the business, and then optimize and improve the system. [0003] In the traditional technology, after an abnormality occurs in the system, the R&D or operation and maintenance personnel extract the abnormal data, and then the business personnel analyze the business impact caused by the system abnormality. How...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/08G06Q10/10
CPCG06Q10/063114G06Q10/083G06Q10/10
Inventor 吴鸿艺陈才陈晓晶孙宏宇李玮萱董珊陈志文
Owner SF TECH
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