Industrial Internet edge calculating device and realizing method thereof

Abstract

The invention discloses an industrial Internet edge calculating device which comprises a connecting layer, a sensing layer, an analyzing layer, a control layer, a predicating layer, a data lake and adata service gateway. The connecting layer is used for establishing a protocol controller, converting data pump original data to a data message and forming an equipment driver which is introduced andled out by a data pump. The sensing layer is used for defining a sensing condition and establishing a triggering action response event. The analyzing layer is connected with the data pump, analyzes real-time original data which are acquired by the connecting layer and generates an analysis result event. The control layer is used for acquiring an abnormal action response event and adjusts an operation parameter of industrial equipment which is connected with a bus. The predicating layer is connected with the connecting layer, establishes an equipment fault predicating model through a deep convolutional neural algorithm, acquires the original data and outputs a control suggestion event. The data lake stores data messages, alarm events, analysis result events and control suggestion events. The invention further discloses a realizing method of the industrial Internet edge calculating device.

Description

technical field [0001] The invention relates to the technical field of data collection and processing, in particular to an industrial Internet edge computing device and an implementation method thereof. Background technique [0002] With the continuous development of industrial intelligence, the Internet of industrial equipment and intelligent control have become the mainstream of development. The important components for collecting data in industrial equipment control are various sensors, intelligent machine equipment, and industrial automation control systems. Usually, they can include pressure sensors, temperature sensors, position sensors, liquid level sensors, visual sensors, and PLC controllers. , injection molding machines, CNC machine tools, robots, motors, other large equipment, etc. Traditional industrial equipment data collection cannot use the same protocol to match a variety of industrial equipment, sensors, and industrial control systems due to the business sc...

AI Technical Summary

Problems solved by technology

In most cases, the real-time and effective data collection, analysis and processing of the real working condition data of various equipment cannot be performed most effectively, resulting in the inability to obtain the most effective output of equipment productivity and the most effective improvement of product output quality

The final result is the waste of production resources and human resources, which greatly increases the cost of the enterprise and cannot guarantee the quality of the products

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