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  • Research on the Path of New Energy Power Project Financing Model

    Le-Yi Chen, Shi-Zhe Sun

    New energy power projects have emerged as a crucial component of recent energy sector transformations. Given their distinct characteristics compared to traditional energy projects, these projects face signifcant fnancing challenges. Thus, exploring innovative fnancing pathways is essential. This paper discusses several emerging financing methods for new energy power projects, including energy service company (ESCO) models, project loan insurance, crowdfunding, and carbon emissions trading. The paper concludes with policy recommendations and practical suggestions that will hopefully help to promote the innovation and development of new energy power project fnancing models.

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  • Exploration of Construction Management of Water Conservancy Project

    Jia Chen

    As an essential part of national infrastructure construction, the construction management of water conservancy engineering projects is crucial not only for the quality, progress, and safety of the project but also for the economic development of surrounding areas and the standard of living of the people. This paper briefy introduces the importance of construction management in water conservancy projects and analyzes the management strategies for hydropower engineering construction projects. These strategies include establishing a comprehensive construction management system, focusing on improving the overall quality of management personnel, emphasizing construction safety supervision, and meticulously controlling costs.

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  • Exploration of the Development of Data Science and Big Data Technology Major

    Zi-Xuan Zhang

    As an emerging interdisciplinary field, the Data Science and Big Data Technology major holds profound significance for societal development. This paper explores the importance of this major and the challenges it faces, including incomplete curricula, weak practical teaching components, and a shortage of faculty. In response to these challenges, strategies and suggestions are proposed, aimed at promoting the continuous development of the Data Science and Big Data Technology major and enhancing China’s international competitiveness in this feld.

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  • Study on the Influence of Micelle Structure and Morphology in Emulsion Polymerization on Polymerization Rate and Product Properties

    Cheng-Xiu Lin

    In emulsion polymerization, the structure and morphology of micelles significantly influence the polymerization speed and the performance of the resulting products. This study reveals how micelle size, shape, and internal microenvironment regulate monomer diffusion and polymerization rates, thereby affecting the polymerization kinetics. The regularity and dispersibility of micelles determine the particle size distribution and morphology of the products, further infuencing key properties such as thermal stability and mechanical strength. Optimizing micelle structure has become an essential approach to improving emulsion polymerization efciency and product quality.

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  • Research on the Application of Intelligent Control in Thermal Automation of Thermal Power Plants

    Zhi-Cheng Guan, Xu Liu, Wen-Di Jiao, Xiao-Chao Zhang

    This paper delves into the application of intelligent control in the thermal automation of thermal power plants, focusing on its role in optimizing boiler combustion, superheat temperature control, and full-range control of boiler feedwater. By integrating high-precision sensors, data processing algorithms, and intelligent decision-making logic, the intelligent control system achieves real-time monitoring, precise analysis, and intelligent decision-making for the entire production process of thermal power plants, significantly enhancing operational efficiency, energy-saving capabilities, and economic benefits. Additionally, the paper proposes specifc application measures for intelligent control in boiler combustion control, such as data-driven model construction, real-time monitoring and feedback adjustment, and predictive control strategies, providing references for the intelligent development of thermal power plants.

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  • Design Strategies for Women's Smartwatches Based on CMF

    Zi-Qing Cai

    With the rapid development of technology, smartwatches have become an indispensable wearable device in modern life. In targeting the female market, the design of smartwatches must not only meet basic functional requirements but also emphasize aesthetics, emotional resonance, and personalized experience. This paper explores the design strategies of women's smartwatches based on the three design elements of Color, Material, and Finishing (CMF). It aims to create smartwatches that are both aesthetically pleasing and practical for women through refned design language. Through case analysis, user research, and design concept interpretation, this paper provides innovative ideas and practical guidance for the feld of women's smartwatch design.

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  • Analysis of Substation Equipment Identification Technology Based on Improved SSD Model

    Hai-Shan Wang

    With the intelligent development of the power system, substations serve as important nodes for power transmission and conversion. The automated identification and management of substation equipment have gradually become key means to improve operational efciency and reduce labor costs. In this context, the application of identifcation technology based on the SSD model can further enhance the implementation of equipment management. This paper frst elucidates the basic principles of the SSD model and discusses the shortcomings of existing substation identifcation technologies. It then analyzes the design directions for the improved SSD model and fnally explores the application of substation equipment identifcation based on the improved SSD model, aiming to provide new work ideas for related personnel.

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  • Application and Evaluation of Advanced Sensing Technology in Water Resources Monitoring

    Rong-Xin Guo, Zhi-Chun Lu

    Advanced sensing technology, with its high precision, reliability, and real-time monitoring capabilities, has been widely applied in the field of water resources monitoring, significantly enhancing the efficiency and accuracy of water management. This paper explores the extensive application of advanced sensing technology in water monitoring and evaluates its accuracy, reliability, stability, and cost-efectiveness from multiple dimensions, revealing its potential and value in improving water management and promoting efcient utilization of water resources.

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  • Artificial Intelligence and Image Processing Technology Applications

    Zhe-Bin Sun

    This article aims to explore the integrated development of artificial intelligence (AI) and image processing technologies, as well as their potential applications across various fields. With the enhancement of computational power and the continuous optimization of algorithms, AI has become a significant force driving innovation in image processing technologies. The paper first outlines the basic principles of AI and image processing, then analyzes the key technologies that integrate the two, and fnally, discusses the broad application prospects in areas such as healthcare, entertainment, and security surveillance.

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