Equipment health monitoring method and device based on AIoT (Artificial Intelligence and Internet of Things)

Abstract

The invention provides an equipment health monitoring method and device based on AIoT (Artificial Intelligence and Internet of Things). The method comprises the steps of collecting an equipment current related signal, converting the equipment current related signal into data, processing the data to calculate current signal frequency domain data and / or equipment real-time power, encrypting the datathrough an Internet of Things encryption lock, and transmitting the data to the cloud; and comparing the processed current frequency domain data and / or equipment power with a fault library of the cloud based on the fault library stored in the cloud, realizing fault analysis, prediction, early warning and whole equipment life cycle monitoring of the equipment, and remotely controlling the equipment according to a rule preset by a user. The electric equipment health monitoring method and device provided by the invention are realized based on the Internet of Things technology, the equipment operation current data can be dynamically acquired in real time, and intelligent and remote control of the equipment and accurate fault analysis and prediction can be realized based on artificial intelligence analysis of historical data and cloud big data.

Description

technical field [0001] The present invention mainly relates to the technical fields related to intelligent monitoring and control of electrical equipment, and specifically relates to an equipment health monitoring method and device based on the AIoT intelligent Internet of Things. Background technique [0002] In the fields of scientific research, education, and industry, there are a large number of valuable electrical equipment or equipment that require the management and application of the concept of the intelligent Internet of Things. However, due to historical reasons, or technical or industry reasons, there are problems such as not being connected to the Internet of Things, not being smart, not being safe. Specifically, the power consumption information of equipment has not adapted to the development trend of the Internet of Things, and equipment safety and health monitoring is still manual operation and manual control; although there are some intelligent control method...

AI Technical Summary

Problems solved by technology

However, due to historical reasons, or technical or industry reasons, there are problems such as not being connected to the Internet of Things, not being smart, not being safe, etc.

Specifically, the power consumption information of equipment has not adapted to the development trend of the Internet of Things, and equipment safety and health monitoring is still manual operation and manual control; although there are some intelligent control methods for electrical equipment based on the Internet of Things in the market, such as WiFi sockets, they only play a role. What I got is a network-based remote control, which does not have real artificial intelligence attributes; for the safety of general equipment, it is basically still based on manual speculation, or offline testing of traditional instruments, the troubleshooting efficiency is low, and there is no fault prediction ability. Big security risk

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