Authors: MARISCU Daniela Adriana

Pages: 1-15

Published online: 2026-07-03

Abstract: The digital transformation of water infrastructure has become one of the strategic priorities promoted at the European level to enhance the resilience, sustainability, and efficiency of drinking water supply services. In this context, artificial intelligence (AI) provides new opportunities for real-time monitoring of treatment processes, optimization of operational parameters, and the development of predictive mechanisms capable of reducing operational risks and maintenance costs. This paper presents the development of an artificial intelligence-based platform designed to optimize drinking water treatment processes and support the digitalization of monitoring and control activities. The research is based on a case study conducted in collaboration with a company specializing in water treatment solutions and focuses on the integration of AI technologies, real-time monitoring systems, and predictive analytics into an interoperable platform capable of providing decision support for water utility operators. The research methodology included the analysis of existing operational processes, the definition of the platform's functional requirements, the design of its conceptual architecture, and the development of a data integration model capable of processing information from sensors, treatment equipment, and external data sources. The proposed solution enables continuous monitoring of water quality parameters, adaptive optimization of treatment processes, implementation of predictive maintenance mechanisms, and remote control of water treatment facilities through an autonomous edge computing system for cyber-physical process control. The research findings highlight the potential of artificial intelligence to improve operational efficiency, reduce resource consumption, optimize drinking water treatment processes, and enhance the capability to respond to changes in water quality and infrastructure-related events. Furthermore, the study demonstrates that integrating digital technologies with AI algorithms can support the development of intelligent water management services, contributing to the modernization of drinking water infrastructure and accelerating the digital transformation of the water sector.

Keywords: artificial intelligence; drinking water treatment; digital transformation; predictive maintenance; process optimization.

Authors: GUR Bila

Pages: 16-27

Published online: 2026-07-03

Abstract: The growing interest in the use of natural stone materials in architecture and interior design, together with advances in lighting technologies and intelligent construction systems, has created the need for innovative solutions capable of combining functional, aesthetic, and energy-efficient performance. In this context, the present paper aims to present the results of research focused on the development of innovative construction systems based on the use of onyx, travertine, marble, and other natural stones, integrated with modern lighting and control technologies for premium architectural applications. The research was conducted within a research and development project and focused on the design, development, and conceptual validation of three innovative construction systems: a backlit façade system, an intelligent illuminated flooring system, and a modular illuminated ceiling system. The adopted methodology included the analysis of existing solutions, the definition of functional requirements, the conceptual design of the construction systems, prototype development, and the evaluation of the technical and functional advantages of the proposed solutions. The research findings demonstrate the feasibility of integrating natural stone materials with modern lighting systems and modular construction technologies, leading to the development of solutions characterized by high design flexibility, energy efficiency, ease of installation, and adaptability to a wide range of architectural applications. Furthermore, the proposed systems contribute to expanding the use of natural stone materials in architecture and interior design while supporting innovation in the field of intelligent construction systems. The main contribution of this research lies in the development of an integrated approach to innovative construction systems that capitalize on the aesthetic and functional properties of onyx, travertine, marble, and other natural stones through the integration of advanced lighting technologies and modular structural solutions. The proposed approach offers significant potential for application in high-end architectural and interior design projects requiring superior quality, customization, and aesthetic performance.

Keywords: innovative construction systems; onyx; travertine; marble; natural stone; architectural lighting; intelligent façades; interior design; research and development.

Authors: ANDRONACHE Sorin

Pages: 28-45

Published online: 2026-07-03

Abstract: In the context of the growing volume of technical documentation and the increasing need for rapid access to relevant information, digital transformation has become one of the key factors influencing the competitiveness of companies in the construction industry. Efficient management of technical documents and organizational knowledge represents a major challenge for companies that simultaneously manage multiple projects and rely on diverse information storage systems. This paper presents a case study on the conceptual development and implementation of an AI-powered Enterprise Search platform designed to optimize technical documentation retrieval and knowledge management processes within Vallys Deco SRL. The proposed solution integrates intelligent indexing, semantic search, and knowledge management functionalities into a unified platform that enables fast and efficient access to both technical and administrative information. The research is structured around two complementary directions. The first focuses on the development of two innovative services: the Technical Documentation Search and Management Service and the Knowledge Management Service. The second addresses the definition of three innovative organizational processes supporting application integration into operational workflows, real-time intelligent assistance, and document compliance management. Furthermore, the study examines the use of IoT-enabled tablets for on-site information access and for assessing the operational efficiency gains achieved through digitalization. The research findings demonstrate the potential of the proposed solution to improve information accessibility, enhance the reuse of organizational knowledge, and increase the efficiency of internal processes, thereby contributing to the acceleration of digital transformation in the construction industry.

Keywords: digital transformation; artificial intelligence; knowledge management; technical documentation; construction industry.