Construction of intelligent testing system for electronic components

Abstract

In order to solve the problems such as unreasonable plan, opaque process, insufficient flexibility and excessive manual participation in the process of screening, identification and quality consistency inspection of electronic components in China, a software and hardware construction scheme of intelligent detection system for electronic components is proposed, which integrates the cutting-edge technologies such as machine vision, deep learning, IOT(internet of things), data mining. Relying on the National Semiconductor Device Quality Supervision and Inspection Center, part of the construction work has been completed, and the information, automation and intelligence of the testing business have been realized.

Construction of intelligent terminal equipment for Electric Internet of Things based on edge computing model

“…With the rapid development of the Internet of Things technology based on the Internet technology and focusing on the "Internet of everything", the electric Internet of Things is also followed gradually. The electric Internet of Things is preliminarily built into the electric Internet of Things system consisting of the perception layer, the network layer, the platform layer and the application layer [1]. The edge computing framework adapted to the characteristics of the electric Internet of Things has become the underlying key technology [2].…”

Application of Multi Agent Systems for Leak Testing

“…In this respect it is linked to quality control and quality assurance [14]. In many sectors, quality testing is too labour intensive, too complex,has a low degree of automation and is mostly experience based [15]. This results in lower efficiency, a higher level of biases, and lower overall quality.…”

“…An intelligent testing production system has to support "four modernisations" that are interconnection, digitisation, information generation and intellectualisation [15]. This is important to ensure that the intelligent testing system understands the tasks, resources and other information in the platform to make correct inferences.…”