Wearable intelligent Internet of Things terminal for machine tool and intelligent manufacturing sensing system

Abstract

The invention discloses a wearable intelligent Internet of Things terminal for a machine tool and an intelligent manufacturing sensing system, an embedded fan-free edge terminal is very conveniently worn in an electrical cabinet of the machine tool, an equipment network environment is accessed through the Ethernet, a data high-speed acquisition system operates at the edge terminal, and data generated during operation of the machine tool, such as load, error, speed and position, is acquired to an edge terminal in real time at a high speed. The intelligent manufacturing sensing system running at the edge terminal comprises an acquisition terminal hardware part, a data acquisition layer, a data mining layer and a UI interaction management layer, accurately analyzes mass data and endows the data with a scene, the UI interface directly interacts with the user, scenarized data are presented, manufacturing is enabled, and the technical bottleneck of the data end and the information end in the industrial internet field can be solved.

Description

technical field [0001] The invention relates to the technical fields of software and communication, in particular to a wearable intelligent IoT terminal for machine tools and a smart manufacturing perception system based on the terminal. Background technique [0002] The simple difference between the industrial Internet and the consumer Internet is that what the consumer Internet needs to establish is the interconnection between people (Human-Human interface). Interconnection basic channel. The main body of industrial Internet services is people, and the object of research is machines. Therefore, to realize the value of industrial Internet, it is necessary to first establish a human-machine interface to realize human-machine interconnection. At this time, various IoT boxes emerged as the times require. The basic function of most industrial Internet boxes on the market at the current stage is to rely on the data extraction layer to provide data, that is, to realize the link ...

AI Technical Summary

Problems solved by technology

The timeliness, flexibility, and in-depth application scalability of data quality are poor, and the application scenarios are limited

For example, the availability of predictive maintenance for component-level failures of high-speed (90 m / min) and high-precision (0.1um) CNC machining centers, improvement of manufacturing efficiency, quality monitoring of manufacturing processes, and active prediction of tool life is poor.

[0004] In order to meet the demand for high-frequency and high-quality data in the above scenarios, the conventional practice in the market is to modify the machine to add sensors, and the front-end data acquisition computing terminal collects sensor signals to the data acquisition terminal through the onboard high-speed acquisition card. In order to meet the deep-seated needs such as predictive maintenance and intelligent manufacturing, this method is costly, and the transformation of the underlying sensor requires equipment shutdown, high risk, low efficiency, and long cycle

On the other hand, the data that is not concurrent with the working conditions of machinery and equipment has a huge amount of data, resulting in increased difficulty in cleaning and filtering, single data scenarios, and poor scalability

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