Internet of Things node fault detection method and device, storage medium and computer equipment

Abstract

The invention discloses an Internet of Things node fault detection method and device, a storage medium and computer equipment. The method comprises the following steps: obtaining target wireless datacollected by a plurality of target Internet of Things nodes in a network; searching label data of an Internet of Things node adjacent to each target Internet of Things node in a pre-stored data diagnosis library, marking the searched label data as source domain data, and marking the target wireless data as target domain data, the label data being wireless data marked with a state label; establishing a deep migration learning model, and training the deep migration learning model according to the source domain data and the target domain data to obtain an Internet of Things node fault diagnosis model; and performing fault diagnosis on the Internet of Things nodes in the network by using the fault diagnosis model. According to the method, the label data of the adjacent nodes are fully utilizedby means of the deep transfer learning model, and fault diagnosis is performed on the label-free wireless data of the Internet of Things nodes.

Description

technical field [0001] The present invention relates to the technical field of cloud computing, in particular to a method, device, storage medium and computer equipment for detecting node faults in the Internet of Things. Background technique [0002] With the rapid development of intelligent IoT applications, various intelligent services and strict performance requirements make wireless networks based on fog computing or edge computing become an important architecture supporting intelligent IoT. With the combination of the powerful computing capability of the cloud data center and the local computing and storage capabilities of the edge nodes, the service pressure of different qualities borne by the network can be effectively alleviated. At the same time, complex network structure and functions also make network maintenance more difficult. In order to solve this problem, data mining methods or artificial intelligence methods have been widely used for network fault detectio...

AI Technical Summary

Problems solved by technology

[0004] In view of the above situation, it is necessary to provide an Internet of Things node fault detection method, device, and storage medium for the problems in the prior art that cannot establish an effective fault diagnosis model and perform fault detection for nodes with insufficient data volume and expired data in the network and computer equipment

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