Terminal automatic fault diagnosis and restoration method on basis of data mining

Abstract

The invention discloses a terminal automatic fault diagnosis and restoration method on the basis of data mining. The terminal automatic fault diagnosis and restoration method includes that a terminal acquires fault characteristic data, a cloud side analyzes a fault resolution scheme on the basis of data mining and instructs the terminal to realize fault self-restoration, the terminal gains higher and higher fault self-resolution rate by continuously learning and accumulating fault characteristics and fault resolution schemes, and can automatically process most of normal faults. By the terminal automatic fault diagnosis and restoration method, conventional manual centralized judgment, analysis and processing is changed into fault reason analysis of data accumulation and mining, and on the basis of a fault resolution analysis and recommending mechanism of a parallel distribution and automatic 'exploration-feedback' mechanism and by 'learning' and 'sharing' fault characteristics and resolutions among the terminals, automatic fault resolution capability of the terminals are constantly improved, and finally, a centralized management mechanism which is quite easy to encounter bottleneck is transformed into a mode based on automatic management, diagnosis and restoration of various terminals.

Description

technical field [0001] The invention relates to the technical field of terminal management, in particular to a method for self-diagnosing and recovering terminal faults based on data mining. Background technique [0002] With the implementation of mobile informatization in logistics, express delivery, e-commerce, public security, airports, commerce and other industries, as well as the increasing use of company-equipped or self-owned mobile devices (including smartphones and tablets) in various industries, etc. For mobile office, various smart mobile devices (including dedicated PDA (Personal Digital Assistant) devices and smart phones, tablet PCs, wearable devices, etc. based on mobile smart operating systems) are more and more widely used. Taking the express delivery industry as an example, the number of wireless PDA terminals used by a single courier company for receiving and dispatching business has reached tens of thousands, covering all provinces and autonomous regions ...

AI Technical Summary

Problems solved by technology

However, as the number of PDA applications continues to increase, they are distributed in wide areas at the same time, they are in different usage times and monitoring states, and they run different services and different versions of software. Fast fault discovery, location and recovery have become a challenge for terminal management in the mobile information age

Although some enterprises have deployed terminal management systems to manage the status, faults and performance of a large number of terminals, this mechanism requires manual handling of faults one by one. On the one hand, it brings a huge maintenance workload. As the number of terminals continues to increase and the complexity of faults increases, it is no longer possible to ensure that faults can be handled in a timely manner and services can be restored

At the same time, with the continuous expansion of the number of terminals, in order to handle the large number of concurrent terminal status fault reporting messages, the terminal management system needs to be continuously upgraded and expanded, which requires a large amount of IT infrastructure expansion costs, and when it reaches a certain level, it will face performance bottlenecks

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