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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Simulation and Analysis of LNG Cold Energy PowerGeneration Technology
Zhen-Bao Xu
LNG cold energy power generation technology, as an important approach to cascade energy utilization, recovers the substantial amount of cold energy released during the regasification of liquefied natural gas (LNG) to generate electricity, demonstrating significant potential for improving energy efficiency. Based on thermodynamic principles and system engineering methods, this paper establishes a mathematical model of an LNG cold energy power generation system. It focuses on analyzing the performance characteristics of different cycle configurations, including the Rankine cycle (RC), Organic Rankine cycle (ORC), and mixed working fluid cycle. The influence mechanisms of working fluid selection and system parameter optimization on power generation efficiency are systematically investigated. Through simulation calculations and sensitivity analysis, the relationships between key operating parameters—such as evaporation temperature, condensation temperature, and working fluid mass flow rate—and system output power are revealed. The results provide a theoretical foundation and technical reference for the design optimization and performance enhancement of LNG cold energy power generation systems.
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Design of a Lightweight Road Pedestrian DetectionSystem for Complex Environments
Yong Tang, Jun-Hao Zhang, Miao Sun
To address the challenges posed by complex outdoor operating conditions—such as poor visibility, occlusions from rain gear, glare on water surfaces, and cluttered backgrounds—which cause traditional pedestrian detection models to suffer from parameter redundancy, a high deployment threshold, and imbalanced detection accuracy, this paper presents a lightweight road pedestrian detection system for complex environments, with a core focus on the deployment requirements for embedded terminals. By strategically selecting a baseline model, optimizing the feature extraction module, and streamlining the network architecture, and by incorporating strategies for rain-fog noise suppression and rain-glare reflection, the system strikes a balance between its computational load and recognition performance. The optimized system effectively adapts to a variety of complex road environments, providing technical support for pedestrian detection tasks on mobile devices under adverse weather conditions.
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Exploration of the Application of Digital TwinTechnology in the Construction and Maintenance ofPrefabricated Buildings
Peng Zhang, Le Shang
The modular construction model of prefabricated buildings imposes higher standards for refined and intelligent management of construction and maintenance. Existing building management models face issues such as information fragmentation, rough control, and disconnected processes, making it difficult to adapt to the development needs of prefabricated buildings. This paper, by leveraging the technical characteristics of digital twins, outlines the digital application pathways from the two major stages of construction and maintenance, establishes a technical support system tailored to engineering scenarios, and optimizes the collaborative management model for construction and maintenance. It can provide theoretical references for the digital transformation of prefabricated buildings and refined, full-process control.
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Thermo-structural Coupled Optimization of a HighPower-Density DC Power Supply Chassis
Qing-Yang Zhong, Da-Li Qi, Sheng-Bo Xia, Ren-Rui Xiang
High-power-density DC power supply enclosures, operating within confined spaces, are simultaneously subjected to high heat flux density and complex mechanical loads. Consequently, thermostructural coupling has emerged as a critical bottleneck constraining their reliability. This paper takes such an enclosure as a case study, systematically analyzing the characteristics of heat source distribution and the features of the structural loading. A thermo-structural coupled finite element analysis (FEA) model is established to elucidate the interaction mechanism between the temperature and stress fields. Building on this, a synergistic design strategy is proposed, integrating heat dissipation topology optimization with structural lightweighting. Through measures such as optimizing the fin layout, reconfiguring the air duct, and adjusting the mounting position, a comprehensive enhancement of both thermal performance and structural strength is achieved. The study demonstrates that the optimized enclosure exhibits significant improvements in its maximum temperature, maximum equivalent stress, and first-order natural frequency, providing effective support for the integrated design of high-power-density power supply enclosures.
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Simulation and Analysis of Pressure Drop underMultiple Operating Conditions at a Natural GasGathering Station
Yun-Xi Li, Qian-Yue Luo, Meng-Ya Luo
Pressure loss in the pipeline network of a natural gas gathering and processing station directly impacts the energy consumption and operational safety of the gathering and transportation system. Traditional manual formulas for calculation are plagued by drawbacks such as low efficiency, a simplistic representation of operating conditions, and insufficient accuracy. This paper employs numerical simulation to develop a lightweight simulation model for the station's pipeline network. By setting up single-variable comparative scenarios for gas throughput, pipe diameter, and operating temperature, the study conducts pressure loss simulations under multiple operating conditions to quantify the effects of each parameter on both frictional (longitudinal) and local pressure losses. Based on the simulation results, process optimization strategies are proposed, focusing on pipe diameter matching, gas throughput regulation, and the layout of pipe fittings, and are subsequently validated through simulation. This research provides data-driven support for the design, retrofitting, and operational optimization of new, renovated, and expanded gathering and processing stations, thereby facilitating the energy-efficient and low-carbon operation of oil and gas field gathering and transportation systems.
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Peter Mark Smith
Carbon Credits and Advanced Fibre Optic based Distributed Temperature, Acoustics and Strain sensing
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