Application of Artificial Intelligence Technologies to Assess the Quality of Structures

Abstract

The timeliness of the complex automated diagnostics of the metal condition for all characteristics has been substantiated. An algorithm for the automation of metallographic quality control of metals is proposed and described. It is based on the use of neural networks for recognizing images of metal microstructures and a precedent method for determining the metal grade. An approach to preliminarily process the images of metal microstructures is described. The structure of a neural network has been developed to determine the quantitative characteristics of metals. The results of the functioning of neural networks for determining the quantitative characteristics of metals are presented. The high accuracy of determining the characteristics of metals using neural networks is shown. Software has been developed for the automated recognition of images of metal microstructures, and for the determination of the metal grade. Comparative results of carrying out metallographic analysis with the developed tools are demonstrated. As a result, there is a significant reduction in the time required for analyzing metallographic images, as well as an increase in the accuracy of determining the quantitative characteristics of metals. The study of this problem is important not only in the metallurgical industry, but also in production, the maritime industry, and other engineering fields.

Integrated Estimation of a Cyber-Physical System’s Sustainability

“…In addition, the scientific provisions of this work may be used in development of industry solutions in the field of CPS application; for example, in IoT e-health when modeling energy-efficiency using artificial intelligence as shown in [36][37][38][39][40]. Moreover, as noted in [33], according to experts, systems built on the basis of CPS allow provision of technological leadership and, hence, competitive advantages in many sectors of the digital economy including healthcare, transport, energy, construction and others.…”

“…Analysis of special literature [31][32][33][34][35][36][37] has allowed us to identify the following main elements of the CPS:…”

“…Analysis of [23,[33][34][35][36][37][38][39][40] on the topic under consideration allowed us to summarize the fundamental properties of cyber-physical systems that should be taken into account while designing the functioning of cyber-physical systems. There main ones are sustainability, self-programming, adaptability, autonomy, efficiency, functionality, seamlessness, reliability, ability to self-study, usability, transparency, friendliness to human environment, fast speed of functioning and adaptation to environmental changes, complexity (number of incoming components), high power consumption, creation product value, and economic value-added.…”

Application of Artificial Intelligence Technologies for Diagnostics of Production Structures

“…There are some papers [9][10][11][12][13] in the field of automation of monitoring the ladle cars state. In paper [14], an infrared system is proposed for diagnosing the lining of a ladle.…”

“…The authors used the following filtering methods in their paper, namely: Prewitt, Sobel, Roberts, Laplacian-Gaussian filters, and the Canny method. The filters under consideration were chosen to solve this problem due to their high efficiency in dealing with the tasks of identifying the boundaries and outlines of objects in the image [9,10]. In the course of the study, the analysis of the filtration results obtained showed that it is expedient to use the Sobel and Prewitt filters to separate the informative segments of the thermogram of the torpedo ladle car from the background.…”