Internet of Things equipment remote diagnosis method and device, and electronic equipment

Abstract

The invention provides an Internet of Things equipment remote diagnosis method, an Internet of Things equipment remote diagnosis device and electronic equipment. The Internet of Things equipment remote diagnosismethod comprises the following steps of: configuring device static data of a plurality sets of to-be-trained Internet of Things equipment, and respectively collecting device operation dataof the plurality sets of to-be-trained Internet of Things equipment at a plurality of sampling time points to form a training feature data set; training by using the training feature data set to obtain a diagnosis model used for representing a corresponding relationship between the sampling time point and the equipment operation data; and performing remote diagnosis on the to-be-diagnosed Internetof Things equipment based on the diagnosis model. The training feature data set is formed by collecting a large amount of equipment operation data of some Internet of Things equipment, so that the training feature data set can be used for performing machine learning to obtain the diagnosis model, and whether the Internet of Things equipment is abnormal or not is remotely diagnosed according to the diagnosis model, therefore, the Internet of Things equipment remote diagnosis method can save diagnosis time, obtains the diagnosis result quickly, is conductive to solve the problem of equipment abnormality quickly, and improves the economic benefit.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a method for remote diagnosis of Internet of Things equipment, a device for remote diagnosis of Internet of Things equipment, and an electronic device. Background technique [0002] The structure of modern manufacturing equipment is becoming more and more complex, and the degree of automation is getting higher and higher. Many equipment integrates many advanced technologies such as machinery, electronics, automatic control, and computer. Various components in the equipment are interconnected and interdependent, which makes equipment failure Diagnosis becomes more difficult. Due to the many uncertain factors in the manufacturing site, it is inevitable that various failures will occur during the operation of the equipment. Once a failure occurs, whether the failure can be quickly diagnosed and dispatched is a big issue for the manufacturing enterprise. Saying is ...

AI Technical Summary

Problems solved by technology

[0004] In the current network situation, it usually requires multiple experienced personnel (usually equipment manufacturers or operator maintenance personnel) to perform remote diagnosis on multiple devices in the network to determine whether the device is faulty, because the current network is basically All are heterogeneous networks, networks composed of equipment from different manufacturers (such as Huawei, ZTE, H3C, etc.), remote fault diagnosis of network equipment becomes time-consuming and laborious, and it is difficult to quickly obtain diagnostic results. quick recovery

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