• Lepkova, T.
    • Martinova, I.
    • Martinova G.
    • Marinova, I.
    • Pincheva, B.
    Science. Business. Society., Vol. 4 (2019), Issue 2, pg(s) 52-54

    The present article is a conceptual paper which aims to be a foundation for future experimental work. The conceptual work discusses different aspects of a new utility model – a ceramic beehive. The evidences are based on theoretical models based on the optimal living conditions of the bee family and the specifics of the changing external environment. Along with these factors are considered the ceramic properties and the relevance of the ceramic material as a construction material for the brood (the beehive body). In order to reach the aim of the paper are used the following empiric and non-empiric methods: literature review, expert evaluation, experiment. The results from the study confirm the conceptual model and reason the hypnotized properties of the experimental model for optimization of the living conditions of the bee family. This is supported by evidences in increasing of the honey production in the ceramic beehive.



    Industry 4.0, Vol. 3 (2018), Issue 2, pg(s) 58-61

    Data from machine operation is an important source for product-relevant quality aspects. The integration of machine data into the digital product life cycle processes enables the improvement of products, systems and processes. In product development in particular, future machine generations can be engineered being more adapted to the requirements for operation issues during use phase, enabled by product and machine data inspection and analysis. In this paper, we propose a comprehensive and generic reference data model called Field Data Model (FDM), organising well-structured product and machine data. The FDM is part of Product Lifecylce Management (PLM), enabling data integration from heterogeneous data sources like PDM, machine control systems and machine-related sensors. The FDM is part of a Field Data Management System (FDMS) that is used to automatically set up and organize Field Objects (FO), representing – real or virtual – machines or machine components of special interest to machine manufacturers or machine operators.