Remote cloud learning intelligent Internet of Things terminal system

Abstract

The invention belongs to the technical field of hardware learning, in particular to a remote cloud learning intelligent Internet of Things terminal system. The system comprises a main control module,a communication module, a data acquisition module, a power supply module and a data storage module, wherein the communication module, the data acquisition module, the power supply module and the datastorage module are connected with the main control module; various types of data are acquired through the data acquisition module, and useful data are uploaded after classification and comparison; fordata which cannot be distinguished, related data of the model are downloaded through the background for comparative learning, a learning result is uploaded to the background for other learning machines to learn, the efficiency is improved, and finally the purpose of recognizing more data is achieved.

Description

Technical field [0001] The invention belongs to the technical field of hardware learning, and specifically relates to a remote cloud learning intelligent Internet of Things terminal system. Background technique [0002] The repair and maintenance of existing construction machinery mainly rely on the on-site experience of operators and maintenance personnel, such as oil usage, continuous use hours, regular maintenance and refueling, etc., lack of mathematical statistics, and inadequate fine management, resulting in a vicious circle , Greatly shorten the service life of the equipment; maintenance personnel and managers need to visit the site to understand the situation of the equipment, logical analysis of equipment failures, time-consuming and laborious. However, there are many brands and models of construction machinery, and the amount of data is even larger. It is difficult to achieve the data recognition of many models by manpower alone. It is difficult to use one model and one...

AI Technical Summary

Problems solved by technology

[0002] The repair and maintenance of existing construction machinery mainly rely on the on-site experience of operators and maintenance personnel, such as the use of engine oil, the number of hours of continuous use, regular maintenance and refueling, etc., lack of mathematical statistics, and subtle management is not in place, resulting in a vicious circle , which greatly shortens the service life of the equipment; maintenance personnel and managers need to visit the site in person to understand the condition of the equipment, and logically analyze equipment failures, which is time-consuming and laborious

However, there are many brands and models of construction machinery, and the amount of data is even larger. It is difficult to recognize the data of many models by manpower alone, and it is difficult to use one model and one device, resulting in various wastes. For example, I have a machine A A device of type B, but I now need to install it on a model B, so I must be looking for a device of type B

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