Method and device for remote diagnosis of Internet of Things equipment, and electronic equipment

Abstract

The invention provides a method and device for remote diagnosis of Internet of Things equipment, and electronic equipment. The method includes configuring the device static data of multiple IoT devices to be trained, collecting the device operation data of multiple IoT devices to be trained at multiple sampling time points to form a training feature data set; using the training feature data set for training, Obtain a diagnostic model to characterize the correspondence between sampling time points and device operating data; perform remote diagnosis on IoT devices to be diagnosed based on the diagnostic model. By collecting a large number of equipment operating data of some IoT devices, a training feature data set is formed, so that the training feature data set can be used for machine learning to obtain a diagnostic model, and to realize remote diagnosis of whether there is an abnormality in the IoT device. Therefore, the remote diagnosis method of the present invention can save diagnosis time, and can quickly obtain diagnosis results, which helps to quickly solve equipment abnormal problems and improve economic benefits.

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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