Engineering Technology Trends (Print ISSN:2972-483X Online ISSN:2972-4848)is an international academic journal aimed at promoting research and knowledge exchange in the field of engineering technology. This journal is dedicated to tracking and reporting on the latest trends, developments, and innovations in the field of engineering technology. We encourage engineering and technology practitioners, scholars, and researchers to share their research achievements, technological applications, and practical experiences. We welcome original and high-quality research papers, technical reports, and review articles covering various engineering and technical fields.
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Causes of Cracks in Tunnel Secondary Lining and Application of High-Performance Repair Materials
Fu-Jun Pei
Cracks in tunnel secondary linings can significantly reduce structural load-bearing capacity and durability, thereby posing risks to operational safety. This paper analyzes the causes of such cracks from four perspectives: material properties, construction practices, design parameters, and environmental and operational conditions. Fluctuations in material quality, deficiencies in construction techniques, unreasonable design parameters, and environmental degradation are all potential contributors to crack formation. On this basis, the performance requirements for high-performance repair materials are discussed, including mechanical compatibility with the original lining, durability under tunnel environmental conditions, and workability and bonding performance conducive to construction. By examining common types of repair materials and construction techniques, and evaluating repair effectiveness in practical scenarios, this study proposes targeted crack prevention and repair strategies. The aim is to provide technical guidance for tunnel maintenance, thereby enhancing structural safety and extending service life.
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Design and Implementation of an Electrical Safety Monitoring System in Electrical Engineering and Automation
Xun Gao; Shi-Yue Shen
With the rapid development of electrical engineering and automation technologies, the importance of electrical safety monitoring systems has become increasingly prominent. This paper addresses common safety hazards in electrical engineering and, combined with cutting-edge technologies such as the Internet of Things (IoT), big data, and artificial intelligence (AI), designs an intelligent electrical safety monitoring system. The paper elaborates on the overall system architecture, hardware design, and software design, including precise sensor selection and placement, data acquisition and preprocessing algorithms, big data analysis model construction, and intelligent early-warning strategy formulation.
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Challenges and Technical Measures in Road, Bridge, and Tunnel Construction
Wen-Qi Ma
Roads, bridges, and tunnels are key transportation facilities with great importance in construction. However, they face difficulties such as complex geological conditions, limited construction environments, and complicated structural stresses. Different geological layers bring high risks; the environment is restricted by space, facilities, and natural conditions; and structural loads are challenging due to dynamic forces and system changes. To solve these problems, measures such as geological survey and treatment, construction environment improvement, and structural design with construction control are applied. Through integrated technologies, systematic optimization, and precise management, construction safety and quality can be ensured, promoting the development of transportation infrastructure.
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Research on the Optimization of Dynamic Monitoring and Early Warning Systems for Open-Pit Slope Stability
Dan Wang
The stability of open-pit mine slopes is affected by geological, hydrological, and mining factors. Current dynamic monitoring technologies include both traditional and emerging methods, yet the early warning systems still show deficiencies, particularly in indicator systems. To address these issues, optimization directions include: constructing a multi-dimensional collaborative monitoring network to achieve integrated three-dimensional monitoring; adopting an “edge computing cloud analysis” approach for data processing and optimizing fusion algorithms; applying hybrid architectures to improve early warning models; and implementing a “microservice containerization” system architecture to enhance the accuracy and reliability of slope monitoring and early warning.
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Digital Transformation at Everbright eRetail – A Case Study
Ravi S. Sharma
This case presents a realistic but hypothetical scenario designed to illustrate key concepts in project management, systems analysis, digital innovation, and IT governance. The case examines Everbright Retail's game-changing digital transformation initiative, Project Crouching Dragon, led by Merdeka Engineering. The initiative sought to convert a traditional electronics and consumer goods chain into a cloud-native, omnichannel enterprise by integrating AI-driven customer intelligence, blockchain supply-chain transparency, and real-time analytics.
The case spans multiple disciplines including project management (PMI framework), systems analysis and design (structured and object-oriented methodologies), digital innovation (Rogers' diffusion theory), and IT governance (COBIT 2019), highlighting challenges in scope, schedule, cost, risk, and integration management, as well as requirements engineering, feasibility assessment, and UML-based system specifications. Project Manager Sarah Chen, BS, MS, PMP faces budget overruns, timeline slippages, and stakeholder resistance, prompting examination of adaptive methodologies and governance frameworks for digital transformation in retail.
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Carbon Credits and Advanced Fibre Optic based Distributed Temperature, Acoustics and Strain sensing
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