A single-index prediction and early warning method of a big data platform based on artificial intelligence

Abstract

The invention discloses single-index prediction of a big data platform based on artificial intelligence in the technical field of artificial intelligence, and the method comprises the following steps:(1) a first layer is a data exchange center, and is responsible for the collection work of data, serves as a basic corpus of big data, and carries out the data mining; (2) the second layer is used for storing data and is responsible for storing the collected data; (3) the third layer is data processing and is responsible for calculating data stored in the HDFS and the HBASE; (4) the fourth layeris used for data display and is responsible for displaying mined data; And (5) the fifth layer is constructed by adopting a mixed model data center based on the main data warehouse and the auxiliary big data processing platform, and the index of the big data platform is pre-warned, so that the fault operation and maintenance efficiency is improved, the loss caused by a major fault is reduced, andthe processing capability of mass data is improved.

Description

technical field [0001] The invention discloses a single-index prediction and early warning method based on an artificial intelligence-based big data platform, specifically in the technical field of artificial intelligence. Background technique [0002] In recent years, various equipment alarm schemes based on performance indicators have been proposed in the field of network management, which partially solve the problems related to fault management. However, in the current actual environment, 90% of fault problems cannot be reflected by traditional equipment alarms. A large number of The types of faults are not covered. In this case, the maintenance work faces many difficulties. If the prediction of indicators and the occurrence of faults can be realized in advance and the damage caused by faults can be effectively avoided, the goal of early warning of faults can be achieved and the flow rate can be completed. Operations need to introduce massive data such as the Internet and...

AI Technical Summary

Problems solved by technology

[0002] In recent years, various equipment alarm schemes based on performance indicators have been proposed in the field of network management, which have partially solved the problems related to fault management. However, in the current actual environment, 90% of fault problems cannot be reflected by traditional equipment alarms. The types of faults are not covered. In this case, the maintenance work faces many difficulties. If the prediction of indicators and the occurrence of faults can be realized in advance and the damage caused by faults can be effectively avoided, the goal of early warning of faults can be achieved and the flow rate can be completed. Operations need to introduce massive data such as the Internet and network signaling, and the storage and performance of existing warehouses are close to saturation. Facing such massive data, on the one hand, traditional warehouses are under heavy computing pressure and cannot bear it; on the other hand, traditional warehouses have weak scalability. And the cost is very high. Therefore, we propose a single-index prediction and early warning method based on artificial intelligence-based big data platform and put it into use to solve the above problems

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