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Method for forecasting health status of distributed networks by artificial neural networks

A technology of artificial neural network and distributed network, which is applied in the field of predicting the health status of distributed network through artificial neural network, and can solve problems such as false sense of reality and incorrect conclusions

Pending Publication Date: 2022-01-14
诺佐米网络有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] Regardless, analyzing these aspects in isolation and statically can give a false sense of reality and can lead to incorrect conclusions

Method used

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Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The invention relates to a method for predicting the health state of a distributed network by using an artificial neural network.

[0051] The method according to the invention can be used in physical or virtual infrastructure or automation systems, in particular industrial automation systems, such as industrial processes for manufacturing production, industrial processes for power generation, foundations for distributing fluids (water, oil and gas) Facilities, infrastructure for generating and / or transmitting electricity, infrastructure for transport management.

[0052] In the present invention, the term "site" refers to a physical location where a certain number of network-reachable assets are located.

[0053] In the present invention, the term "asset" refers to a physical or virtual network supported device within a network that is physically connected to a site. Assets can be computers, tablets, printers, or any other type of device capable of communicating over ...

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PUM

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Abstract

The present invention relates to a method for forecasting health status of a distributed network by an artificial neural network, the method comprising the phase of identifying one or more sites, one or more assets of the sides and the links between the identified assets in said distributed network, comprising the phase of evaluating the actual health status of each of the identified assets, the phase of evaluating the actual health status of each of said identified sites and the phase of forecasting, by the artificial neural network, the subsequent health status of each of the identified sites according to a forecasting function based on a set of values comprising the actual asset health status rank, the actual asset infection risk, the actual asset infection factor, the actual site health status rank and the actual site infection risk.

Description

technical field [0001] The present invention relates to the field of safety method and safety system in distributed network management, and in particular to distributed network. In particular, the present invention relates to a method of predicting the health status of a distributed network by using an artificial neural network. Background technique [0002] A site represents a physical location where a number of network-reachable assets are located. [0003] Assets are physical (or virtual, such as virtual machines) network-backed devices that are physically connected within a site's network. Assets can be computers, tablets, printers, or any other type of device capable of communicating over a network such as TCP / IP. [0004] Furthermore, assets can communicate or have the possibility to communicate with other assets. In this case, they have a common link that simulates the fact that one asset can communicate with another asset in some protocol over the network. A comp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/30G06F11/34G06N3/04G06N3/08G06Q10/04G06Q10/06
CPCG06N3/04H04L69/22G05B23/02G06F11/3006G06F11/3447G06Q10/04G06Q10/0635G06N3/084G06N3/044G06N3/045H04L63/1433G06N3/08
Inventor 安德莉亚·卡尔卡诺莫雷诺·卡露萝
Owner 诺佐米网络有限公司