Usage of real time machine vision in rolling mill

This article deals with the issue of computer vision on a rolling mill. The main goal of this article is to describe the designed and implemented algorithm for the automatic identification of the character string of billets on the rolling mill. The algorithm allows the conversion of image information from the front of the billet, which enters the rolling process, into a string of characters, which is further used to control the technological process. The purpose of this identification is to prevent the input pieces from being confused because different parameters of the rolling process are set for different pieces. In solving this task, it was necessary to design the optimal technical equipment for image capture, choose the appropriate lighting, search for text and recognize individual symbols, and insert them into the control system. The research methodology is based on the empirical-quantitative principle, the basis of which is the analysis of experimentally obtained data (photographs of billet faces) in real operating conditions leading to their interpretation (transformation into the shape of a digital chain). The first part of the article briefly describes the billet identification system from the point of view of technology and hardware resources. The next parts are devoted to the main parts of the algorithm of automatic identification-optical recognition of strings and recognition of individual characters of the chain using artificial intelligence. The method of optical character recognition using artificial neural networks is the basic algorithm of the system of automatic identification of billets and eliminates ambiguities during their further processing. Successful implementation of the automatic inspection system will increase the share of operation automation and lead to ensuring automatic inspection of steel billets according to the production plan. This issue is related to the trend of digitization of individual technological processes in metallurgy and also to the social sustainability of processes, which means the elimination of human errors in the management of the billet rolling process.Web of Science137art. no. 385

Prvky řídících systémů

Těžiště předmětu je v problematice metod elektrického měření neelektrických veličin tj. snímačů a převodníků. Účelem je seznámit posluchače s širokým spektrem fyzikálních principů měřicích metod a zdůraznit jejich vhodnost pro účely řízení technologických procesů zvlášť pro řízení v metalurgii. Na tento předmět navazuje v dalším semestru předmět Technické prostředky řídicích systémů. Po prostudování modulu by měl student být schopen rozumět základním fyzikálním principům snímačů a zvolit vhodné postupy při měření neelektrických veličin v průmyslu. Modul je zařazen do bakalářského studia oboru Automatizace a počítačová technika v průmyslu studijního programu Ekonomika a řízení průmyslových systémů, ale může jej studovat i zájemce z kteréhokoliv jiného oboru, pokud splňuje požadované prerekvizity.OstravaE-vyuk

Creation of Database Applications

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Technické prostředky řídících systémů

OstravaE-vyuk

Automatizace technologických procesů: Průmyslové roboty a manipulátory

OstravaE-vyuk

Automatizace technologických procesů: Řízení technologických procesů v metalurgii

OstravaE-vyuk

Automatizace technologických procesů: Kybernetika a automatizované systémy řízení

OstravaE-vyuk

Understanding the effects of the invasive plants on rural forest-dependent communities

Most of the studies on invasive species are disproportionately focused on their ecological effects and more investigations are needed to understand the effects of invasive plants on rural livelihoods. This study assesses the effects of the invasion of Mikania micrantha-an invasive vine-on the livelihoods of the buffer zone community forest users of Chitwan National Park, Nepal. In this study, the invasive plants are categorized based on their life-form (woody and non-woody) and mode of introduction (accidental or deliberate). The focus is on accidentally transported non-woody species. A household survey revealed that the invasion disproportionately affects the livelihoods of forest-dependent households. In addition, the livelihood effects of invasive plants are particularly determined by the suitability of the invasive plants to produce locally important forest products. © 2014 Steve Harrison, John Herbohn

Heuristic modeling of casting processes under the conditions uncertainty

In the first part of this paper will be described an analysis of control problems and technical lifetime modeling of continuous casting device crystallizers. A full exploitation of continuous casting equipment (CCE) advantages can only be achieved through a control system that minimizes all undesirable effects on the technological process. Some of the undesirable effects influencing the CCE process effectiveness are the failures and service interruptions. This problem was solved by connection of dependability theory and artificial neural networks. The second part of the article refers to a model in linguistic form used to identify the type of defects present in the tested casting. This model, having the form of an attribute table, has been based on the concepts taken from the theory of rough sets and fuzzy logic. A methodology for construction of a heuristic model of linguistic knowledge was presented along with an example of its implementation based on the use of distributed sources of knowledge.Web of Science16218517

Review on Artificial Intelligence Applications in Material Diagnostics and Technology

The paper presents the review of works devoted to the material engineering – diagnostic and technological application of artificial neural networks (ANN). This review has been realized by activities created in narrow connection with the industrial sphere, mainly as a constructive step to development of Industry 4.0 philosophy. The review covers different materials measurement and evaluation. There have been investigated such materials as rubber blends, laminates, optical glasses; and also survey covers degradation processes appeared in industrial applications as well as the material defect evaluation and wearing diagnostics. The last part of the review offers output concerning infrared technique application of ANN. This review can serve as an inspiration for new challenges