Printed circuit boards (PCBs) are an essential component of electronic products, and detecting solder joint defects is critical in the PCB production process. Machine vision technology allows detection with high efficiency and cost-effectiveness. Therefore, this paper summarizes the basic principles of image processing-based and machine learning-based methods for defect detection and compares the advantages and disadvantages of both methods with relevant performance evaluation indicators. Finally, this paper contains a summary and an outlook.
KEYWORDS: Signal detection, Sensors, Heart, Vital signs, Signal processing, Ferroelectric polymers, Internet, Detection and tracking algorithms, Electrocardiography, Detection theory
With the development of the Internet of Things technology and the continuous improvement of people’s living standards, smart devices based on the Internet of Things are emerging one after another and intelligent mattresses are one of the important research directions. Many scholars at home and abroad have conducted a lot of researches on the vital signs monitoring of intelligent mattresses to improve the efficiency of elderly care. This article introduces the monitoring technology of intelligent mattresses, expounds the mainstream data collection methods and data analysis methods, comparative analyzes the advantages and disadvantages of different monitoring technologies and discusses the application of intelligent mattresses in vital sign monitoring, sleep monitoring and elderly care, finally summarizes and prospects the development of intelligent mattresses.
The fault tree(FT) analysis method plays an important role in system safety analysis and has been widely used in large and complex engineering systems. Therefore, this paper expounded the basic principles of FT analysis, using object-oriented programming technology, developed FT analysis and calculation software in the VC environment, and realized the drawing, qualitative and quantitative analysis of the FT. Finally, the effectiveness and usability of the software were verified according to the application analysis of an engineering example, and it has a certain engineering application value.
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