Vol 3 No 4 (2025)

• Safety Operation Management and Optimization Strategies for Desulfurization and Denitrification Facilities

  Xiao-Long Ma, Shi-Gong Yu, Han Xu

  This study addresses safety risks in the operation of flue gas desulfurization and denitrification facilities. Key points for safe operation management are clarified from four aspects: full lifecycle equipment management, operational parameter monitoring, medium control, and personnel training. Furthermore, five optimization strategies are proposed: process parameter optimization, intelligent monitoring upgrades, equipment retrofitting, operation and maintenance innovation, and multi-system coordination. These measures aim to enhance operational safety and efficiency, reduce failure risks, and provide support for the long-term stable operation and green development of industrial flue gas treatment systems.

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• Analysis of the Influence of Deep Water on the Seismic Response of Rectangular-Section High-Pile Bridges

  Shao-Qian Luo

  With bridge construction increasingly extending into deep-water regions, the influence of deep water on the seismic response of rectangular-section high-pier bridges has become a critical issue that cannot be ignored. Focusing on this type of bridge, this study investigates the effects of deep water based on pier– water coupled vibration theory and analyzes methods for calculating hydrodynamic pressure. The results indicate that deep water can significantly prolong the natural vibration period of the structure, alter vibration modes, and affect damping characteristics, while also exhibiting strong sensitivity to site conditions. In terms of seismic response, deep water amplifies pier-top displacement and modifies internal forces at the pier base. Moreover, the coupled effects of near-field and far-field earthquakes, as well as multi-directional ground motions, show distinct characteristics. Taking a heavy-load highway continuous rigid-frame bridge in a hydropower reservoir area as an example, this paper proposes seismic design recommendations such as cross-sectional optimization, providing both theoretical insight and practical guidance for seismic design of similar bridges.

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• Research on the Causes and Prevention Technologies of Stall and Surge in Induced Draft Fans of Large Thermal Power Units

  Jin Li; Li Jia

  In large thermal power units, induced draft (ID) fans are critical auxiliary equipment for maintaining stable and reliable operation. Owing to their complex operating conditions, ID fans are prone to stall and surge phenomena, which can reduce operational efficiency, increase energy consumption, and even cause equipment damage, thereby threatening unit safety. This study systematically analyzes the operating principles and characteristics of ID fans in large thermal power units, elucidates the mechanisms of stall and surge, and investigates monitoring and diagnostic technologies. Furthermore, prevention and control measures are proposed from the perspectives of design optimization, operational adjustment, installation of auxiliary devices, and control strategy improvement. By integrating multi-parameter monitoring with intelligent control methods, the probability of stall and surge can be effectively reduced, enhancing the operational stability and economic performance of power units. The findings provide a valuable technical reference for the safe and stable operation of large thermal power units.

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• Research on Reactive Power Regulation and Control Measures in Power Systems

  Hai-Yan Zhao

  Aiming at problems such as voltage fluctuations and increased power losses caused by reactive power imbalance in power systems, this study focuses on the core technical strategies of reactive power regulation and control. It systematically elaborates on optimization approaches for traditional reactive power regulation equipment, application technologies of new power electronic compensation devices, and multi-source coordinated regulation strategies. By constructing core mathematical models and parameter optimization methods, the accuracy of reactive power regulation is improved. Technical formulas are employed to support the analysis, and small comparative tables of equipment performance are used to clarify applicable scenarios. Through the coordinated application of various regulation technologies, voltage stability can be effectively maintained and network power losses can be reduced. The results provide technical references for the optimized design of reactive power regulation and control systems and have clear engineering application significance.

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• Digital Twin-Driven Intelligent Hotel BIM Operation and Maintenance System:A Case Study of Holiday Inn

  Jian-Bin Lu, Bin Huang, Hua Zhang, Kai Zhang

  The rapid development of smart buildings requires efficient and data-driven hotel facility management. Despite the potential of building information modelling (BIM) and digital twins, empirical studies addressing heterogeneous data fusion and intelligent diagnostics in real hotel environments are limited. This study developed an integrated digital twin framework that combines BIM, IoT sensing, and semantic modelling based on the BRICK Schema to enable unified data representation and real-time operational mapping. A digital twin operation and maintenance (O&M) system was implemented and validated at the Holiday Inn Hotel. The system supports real-time equipment monitoring, predictive fault diagnosis, and dynamic emergency simulations. During a three-month pilot deployment, the system reduced the fault localization time from 120±40 min to 15±10 min (p < 0.001), improved inspection efficiency by 140% (p < 0.001), and yielded an estimated annual reduction of 18% in maintenance costs and 12% in energy consumption. The results demonstrate the effectiveness of digital twin-enabled facility management and provide a replicable methodological reference for extending BIM values across the building lifecycle.

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• Visualization-Based Safety Training Framework for Foreign Workers Using F×S Risk Analysis and VR/BIM

  Dayeon Song, Sungjin Ahn

  Foreign construction workers in Korea experience disproportionately high accident rates due to language barriers and ineffective text-based safety training. This study proposes a visualization-based safety education model tailored to their specific vulnerabilities and trade-specific accident risks. By analyzing accident statistics in high-risk trades such as scaffolding and lifting, the research develops an integrated framework that utilizes the Frequency-Severity (F×S) index to prioritize educational content. The model recommends a tiered application of visualization media, assigning high-immersion tools like Virtual Reality (VR) for critical risk scenarios and Building Information Modeling (BIM) animations for procedural training. This approach minimizes reliance on text and maximizes intuitive understanding, providing a practical, learner-centered framework to effectively reduce accident vulnerability in multicultural construction environments.

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• Research on the Application of Ecological Environment Monitoring Network Construction in Environmental Monitoring

  An-Quan Xu

  To enhance the efficiency of environmental monitoring, this paper researches the application of ecological environment monitoring network construction in environmental monitoring. It clarifies the core components, construction objectives, and principles of the monitoring network, comparing its differences with traditional monitoring methods. The application scenarios of the network in the fields of atmosphere, water, soil, solid waste, and ecosystems are analyzed. The technological support system comprising the perception layer and transmission layer is discussed, and directions for network layout optimization, technological upgrades, and data sharing are proposed. This research provides a reference for the efficient application of monitoring networks, helps overcome the limitations of traditional monitoring, and supports environmental management and ecological protection.

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• Research and Practice on BIM-Based Integrated Data Management in Smart Construction

  Qing-Yu He, Shi-Hong Huang, Wen-Kai Jiang

  With the accelerating digital transformation of the construction industry, BIM-based integrated data management for smart construction has become a core pathway to improving project efficiency. This study focuses on the research and practical exploration of BIM-based integrated data management in smart construction. It first explains the concept and clarifies its significance in supporting smart construction. Key technologies are then analyzed, including BIM data standards, data collection and transmission, storage and management, data analysis and mining, and collaborative work platforms. Subsequently, practical implementation paths are proposed, such as planning development, establishing standardized specifications, building integrated platforms, strengthening data-quality management, and cultivating professional talents. The aim is to promote efficient data integration and scientific data management in smart construction through systematic research and practice, enhance the informatization and intelligence level of construction projects, and provide theoretical support and practical references for the digital transformation of the construction industry.

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• Research on the Integrated 6G Communication, Sensing, and Computing Network Architecture and Key Technologies

  Ao Li

  The integration of communication, sensing, and computing in 6G represents a significant exploratory direction for the future of the communication field. This paper delves into the network architecture and key technologies of 6G integrated communication, sensing, and computing. With the deepening application of 5G networks, 6G, as the future development direction of communication technology, will integrate technologies such as artificial intelligence and big data to achieve higher speeds, lower latency, broader coverage, and stronger intelligent processing capabilities. The 6G integrated communication, sensing, and computing network architecture is divided into four layers: sensing, communication, computing, and application, offering advantages such as efficient information exchange, powerful computing capabilities, flexible network configuration, and a wide range of application scenarios. Key technologies include communication-sensing integration, computing power network technology, and intelligent resource allocation. These technologies will drive the digital transformation and intelligent development of various industries, creating greater value for society.

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• Discussion on Strategies for Information System Integration and Data Integration

  Zhi-Qiang Gan

  With the rapid advancement of digitalization across industries, enterprises are facing an increasingly urgent demand for the efficient utilization of information systems and data. Information system integration focuses on breaking down system barriers to achieve seamless business process connectivity, while data integration aims to address issues such as data fragmentation and heterogeneous formats, ensuring the full realization of data value. This paper concentrates on integration strategies for information systems and data, exploring them from perspectives including technological integration, standard unification, and security protection. The study aims to provide enterprises with scientifically sound integration solutions, thereby improving operational efficiency and decision-making accuracy.

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• Technical Analysis of 6G Integrated Sensing, Communication, and Intelligence Wireless Network Technology

  Mo-Tong Sun

  6G Integrated Sensing, Communication, and Intelligence (ISCI) wireless network technology converges capabilities in communication, sensing, computation, and AI to construct a space-air-ground integrated, all-domain intelligent network. Its core lies in breaking down technical barriers to achieve deep fusion of multi-dimensional sensing, collaborative communication, and intelligent computing, thereby enhancing the network's multi-task processing efficiency. Through breakthroughs in key technologies such as Integrated Sensing and Communication (ISAC), intelligent computing power scheduling, and space-air-ground networking, this technology empowers scenarios like the low-altitude economy, intelligent manufacturing, and smart healthcare, driving digital transformation and innovative development to open a new chapter for the future intelligent society.

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• Research on the Improvement of Water Resources Ecological Footprint Model and Its Carrying Capacity Response

  Hong Cheng

  As a core element of regional development, the assessment of water resources ecological carrying capacity is crucial for sustainable development. Traditional water resources ecological footprint models often yield biased results due to the neglect of water consumption in wastewater treatment, parameter dynamics, and spatial heterogeneity. This study improves model accuracy by introducing a water consumption correction coefficient, constructing a dynamic parameter system integrated with multi-source data, and coupling spatial analysis techniques. Taking typical regions as case studies, the research quantifies the spatio-temporal evolution of the water resources ecological footprint and reveals the response mechanisms of carrying capacity, providing theoretical support for the scientific management and control of water resources.

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• Study on Prospecting Indicators and Metallogenic Model of Alteration-Type Gold Deposits

  Yuan-Hong Xiong

  The formation of structural alteration-type gold deposits is closely associated with tectonic activity and hydrothermal alteration processes. The accurate establishment of prospecting indicators and metallogenic models plays a crucial guiding role in mineral exploration. This paper systematically examines the material composition and formation conditions of structural alteration-type gold deposits, identifying three core categories of prospecting indicators: geological structures, mineral assemblages, and geochemical characteristics. By integrating the evolutionary behavior of metallogenic fluids, a metallogenic model characterized by “structural control of mineralization–fluid migration–alteration and mineralization” is established, and quantitative formulas for fluid metallogenic efficiency and alteration intensity are introduced to support the analysis. The results of this study can improve the accuracy of prospecting for this type of gold deposit and provide reliable theoretical and technical support for practical exploration activities.

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• Exploration of Modern Geological and Mineral Prospecting Methods under the Background of Big Data

  Xiao-Dong Sun

  In the context of the big data era, geological and mineral exploration and prospecting are encountering new opportunities and challenges. Characterized by massive volume, high variety, and rapid velocity, big data provides abundant information resources for geological and mineral exploration. Modern geological and mineral exploration workflows include regional geological surveys, geophysical and geochemical exploration, and drilling verification. Integrating big data into these processes is essential for improving prospecting efficiency and accuracy. This paper focuses on core big data-driven prospecting methods, including multi-source data integration, the construction of analytical and predictive models, and the development of intelligent decision-support systems. Meanwhile, challenges in the application of big data-such as data security and privacy issues, uneven data quality, and shortages of skilled professionalsare-analyzed. Corresponding countermeasures are proposed, including improving data-sharing mechanisms, strengthening technological research and development, enhancing talent cultivation, and introducing supportive policies, in order to promote the development of geological and mineral exploration and prospecting.

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