Journal of science and technology exploration
type: channel
description: 《科学与技术探索》（Journal of Science and Technology Exploration，ISSN 3105-5915，eISSN 3106-6313）是一份致力于推动科学研究与技术创新发展的中文学术期刊。本刊以服务科研人员、工程技术人员与高校师生为宗旨，聚焦科学前沿突破与技术应用转化，关注基础科学进展、工程技术创新、智能化与信息化发展，以及科技成果产业化进程，致力于为科学研究与技术创新搭建高水平学术交流与成果展示的平台。
publisher: Global Future Press
language: en
publication name: Journal of science and technology exploration
issn: 3105-5915
items: A Comparative Study on the Development Paths of Large-Scale Architectural Technologies in Ancient Eastern and Western Civilizations
items: A Phenomenological Reflection on the Digitalization of Dance Education
items: Research on the Collaborative Intervention Model of Digital Empowerment of College Freshmen with Adjustment Disorder
items: Research on the Application Effectiveness of Artificial Intelligence in Empowering Automatic Waste Recycling Machines
items: Synergistic Development of Technological Innovation in the Guangdong-Hong Kong-Macao Greater Bay Area: Realistic Constraints and Optimization Paths
items: Functional Design and Engineering Application Challenges of Activated Alumina-Based Materials in Groundwater Remediation
items: Research on the Route of Integrating Cultural Confidence into Corporate Culture Construction under the Background of Cultural Power
items: Research on the“Semantic Reversal”Mechanism and Precise Governance of Dialect-Based Public Sentiment in a Multimodal Context:A Cross-Platform Analysis Based on Chongqing's“Fat Cat Incident”
items: Monitoring and Genesis Analysis of Surface Deformation in Shenxianpo Coal Mine, Liupanshui Using SBAS-InSAR Technology
items: Economic Drive of the Musical Technology Revolution: A Case Study of City Pop
items: Research on the Reconstruction Strategy of Rock Music Lyrics from the Perspective of Mediatization
items: Research on the Practice and Optimization of Technology Transfer for Lithium-Ion Battery Cathode Materials
items: From Self-help to Transcendence: A Study on the Intervention Mechanism of AI-supported Library Reading Therapy on the Inferiority Complex of Poor Students
items: Digital Empowerment: An Initial Exploration of Multidimensional Innovation and Integrated Development in Sports Technology
items: National Cultural Digitization Strategy: Connotation, Practice and Prospect
items: Technological Innovation and Practical Progress in Mine Ecological Restoration from the Perspective of AI and Big Data Empowerment
items: Paradigm Shift in Banking Compliance Governance Driven by Artificial Intelligence
items: From Linear to Networked: The Paradigm Revolution and Industrial Reconstruction of Documentary Interactive Communication in the Era of Digital Intelligence
items: A Comparative Study on the Language Aesthetics of AI Synthetic Streamers and Real Streamers
items: "AI Poet" in the Classroom: A Study on the Creative Teaching Model of Poetry in Primary and Secondary Schools Empowered by Technology
items: Research on Hybrid Decoding of LDPC Codes Based on QUBO Modeling and Quantum Annealing
items: Review of Metal-Organic Frameworks (MOFs) in Electronic Strain Skin
items: Research Review on AI-Driven Fault Prediction and Diagnosis Methods for Power Systems
items: AI Technology Reshaping the Securities Industry: Model Transformation, Essence Interpretation, and Development Pathways
items: Research on the planning and application of artificial intelligence data mining in intelligent automobile enterprises
items: Digital Transformation Ushers in a New Era for the Insurance Industry
items: AI-empowered Library Reading Therapy: A Study on the Path to Alleviate the Inferiority Complex of Poor Students in Western Universities
items: Generative Artificial Intelligence Empowering Education on Forging a Strong Sense of Community for the Chinese Nation: Connections, Dilemmas and Strategies
items: Analysis of Development Paths and Feasibility Demonstration of Integrated PV-Storage-Charging Solutions
items: Research status and prospect of intelligent networked line control chassis system development based on artificial intelligence

A Comparative Study on the Development Paths of Large-Scale Architectural Technologies in Ancient Eastern and Western Civilizations
type: item
description: Taking the period from 4000 BC to the Renaissance as its temporal span, this paper systematically compares the differences in the development paths of large-scale architectural technologies between the Eastern architectural system represented by the Sinic cultural sphere and the Western architectural system represented by the circum-Mediterranean cultural sphere. The study finds that both Eastern and Western architectural technologies originated in rammed earth and simple stone-brick structures in their early stages. However, due to differences in geographical environment, climatic conditions, and social demands, they subsequently evolved along distinctly different trajectories. Western architecture followed a technological path of “stone and brick–column orders–arches–domes–pendentives,” placing emphasis on breakthroughs in spatial span and vertical height. In contrast, Eastern architecture followed an evolutionary route of “rammed earth–timber frame–dougong brackets–column reduction method,” stressing the refinement of the timber structural system and structural equilibrium. This divergence not only reflects the diversity of technological choices, but also embodies the unique understandings of the relationship between humanity and nature in different civilizations. This paper argues that there is no single superior path in the development of architectural technology; rather, each path represents the crystallization of wisdom through which different civilizations adapted to their own environmental conditions.
subject: 文章
  topic: section
subject: History of architectural technology
  topic: keywords
subject: East–West comparison
  topic: keywords
subject: Large-scale architecture
  topic: keywords
subject: Technological development path
  topic: keywords
subject: Civilizational differences
  topic: keywords
creator: Shihuang WU
creator: Xingsheng WU
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-31
publication date: 2026-03-31
starting page: 61
ending page: 64
doi: 10.65196/gh3n9t71

A Phenomenological Reflection on the Digitalization of Dance Education
type: item
description: This paper aims to conduct a systematic philosophical reflection and critical analysis of the increasingly prevalent digital wave in the field of dance education. Moving beyond mere praise for the efficiency of technological tools, it delves into the profound impact of digitalization on authentic dance experiences and teaching ethics. Grounded in the dual theoretical frameworks of technological phenomenology and epistemology of the body, the study seeks to reveal how mainstream digital technologies—such as motion capture, virtual reality, and artificial intelligence—systematically simplify and reconstruct the continuous, emotionally rich, and intentional bodily practice of dance into a collection of discrete, quantifiable, and computable movement parameters through their inherent "data-driven" operational paradigms. The core argument of this paper is that this fundamental process of "dimensional reduction" leads to the loss of essential emotional texture, spontaneous creativity, and cultural significance in dance, effectively "obscuring" the ontological essence of dance. To substantiate this claim, the study extensively draws upon and expands Michael Polanyi’s classic theory of "tacit knowledge," eloquently demonstrating that the "kinesthetic intelligence" at the heart of dance, the "vital rhythm" generated within specific cultural contexts, and the "instantaneous ethical choices" embedded in live improvisation all ontologically resist complete formalization and computational modeling by existing algorithmic frameworks. The critique presented here does not aim to negate technology per se but rather advocates for a fundamental shift in the perception of technology: from an instrumental rationality focused on "monitoring" and "replacing" the body to an "embodied-augmentation" paradigm that views technology as an "extension of the body" and an "amplifier of perception." The ethical mission of future dance education technology should be to deepen and expand the experien…
subject: 文章
  topic: section
subject: Digitalization of dance education
  topic: keywords
subject: Phenomenology of the body
  topic: keywords
subject: Tacit knowledge
  topic: keywords
subject: Critique of technology
  topic: keywords
subject: Embodied cognition
  topic: keywords
subject: Technology ethics
  topic: keywords
creator: Wenbo TANG
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-31
publication date: 2026-03-31
starting page: 55
ending page: 60
doi: 10.65196/1se4jq02

Research on the Collaborative Intervention Model of Digital Empowerment of College Freshmen with Adjustment Disorder
type: item
description: The adaptation problem of college freshmen is essentially a cultural shock and identity reconstruction dilemma encountered by individuals at a critical turning point in their life course. Based on collaborative governance and ecosystem theory, this study attempts to construct a paradigm of adaptation support with digitalization as the medium and relationship reconstruction as the center. This paradigm uses technology as a "social medium" to promote dialogue and collaboration among multiple subjects, and uses digital platforms to reshape support networks and transform interventions from administrative management to community cultivation. Practical cases from Nanjing University and Peking University show that the effectiveness of digital empowerment is not only reflected in the optimization of processes, but also in promoting meaning sharing between homes, schools, and communities, enhancing the sense of belonging and self-efficacy of freshmen, and creating an immersive and supportive cultural environment. This study hopes to fill the gap between technical logic and humanistic care, and reshape the university education ecology with temperature and effectiveness in the digital era.
subject: 文章
  topic: section
subject: College Freshmen
  topic: keywords
subject: Adjustment Disorders
  topic: keywords
subject: Digital Empowerment
  topic: keywords
subject: Synergistic Intervention
  topic: keywords
creator: Leilei ZHANG
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-31
publication date: 2026-03-31
starting page: 49
ending page: 54
doi: 10.65196/54w4x367

Research on the Application Effectiveness of Artificial Intelligence in Empowering Automatic Waste Recycling Machines
type: item
description: With the deepening of environmental awareness and the concept of circular economy, the waste recycling industry is undergoing a transformation towards intelligence and automation. This study takes artificial intelligence (AI) technology as the core and analyzes its application efficacy in automated waste recycling machines. Experiments show that the classification accuracy of a deep learning-based image recognition model exceeds 92%. The average daily processing capacity of a single machine has increased by 170%, the purity of resource recycling has improved by 12 - 18%, and each machine can reduce carbon emissions by 1.2 tons annually. Through case studies in Chongqing, Shanghai, and at an enterprise, it has been verified that AI technology possesses universality and industrial synergy effects, addressing the pain points of traditional models. Although the initial equipment investment has increased by 35%, the investment payback period can be controlled within 2.8 years. Based on this, the study proposes recommendations such as strengthening the research and development of multi-modal data fusion technology, promoting the deployment of lightweight and efficient models, and constructing a full-chain intelligent recycling system. In the future, the integration of AI with other technologies can be explored, and cross-disciplinary collaborative innovation can be strengthened. This study provides theoretical support for the industrialization of intelligent recycling equipment and holds significant practical guiding value for promoting the construction of "zero-waste cities" and achieving the "dual carbon" goals.
subject: 文章
  topic: section
subject: Artificial intelligence
  topic: keywords
subject: Automatic waste recycling machine
  topic: keywords
subject: Image recognition
  topic: keywords
subject: Classification accuracy
  topic: keywords
subject: Recycling efficiency
  topic: keywords
subject: Environmental benefits
  topic: keywords
creator: Liang CHEN
creator: Tao WU
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-31
publication date: 2026-03-31
starting page: 41
ending page: 48
doi: 10.65196/smq97b34

Synergistic Development of Technological Innovation in the Guangdong-Hong Kong-Macao Greater Bay Area: Realistic Constraints and Optimization Paths
type: item
description: The synergistic development of technological innovation in the Guangdong-Hong Kong-Macao Greater Bay Area serves as a crucial lever for the national strategy to advance regional innovation layouts. It aims to create an international technology and innovation hub with global influence by integrating the innovative resources of Guangdong, Hong Kong, and Macao. In recent years, the Greater Bay Area has made significant progress in collaborative innovation, primarily reflected in increased R&D investment, enhanced capacity for joint research on key technologies, and increasingly abundant innovation resources. However, regional collaborative innovation still faces numerous challenges. These mainly include: poor coordination of rules due to institutional differences; uneven distribution of innovation resources; restrictions on the cross-border flow of research funding and talent; inadequate mechanisms for intellectual property protection and commercialization; and a regional dynamic where internal competition often outweighs cooperation. Based on this analysis, it is necessary to further promote the alignment of institutional mechanisms, deepen reforms in the market-based allocation of production factors, and construct a cross-regional innovation community. These measures are essential to break through the current bottlenecks and unleash the full potential of the Greater Bay Area's innovation system.
subject: 文章
  topic: section
subject: Guangdong-Hong Kong-Macao Greater Bay Area
  topic: keywords
subject: Technological Innovation
  topic: keywords
subject: Collaborative Innovation
  topic: keywords
subject: Institutional Differences
  topic: keywords
subject: Optimization Pathways
  topic: keywords
creator: Xiaoyu GAO
creator: Quanzhi LU
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-31
publication date: 2026-03-31
starting page: 35
ending page: 40
doi: 10.65196/kjng9k31

Functional Design and Engineering Application Challenges of Activated Alumina-Based Materials in Groundwater Remediation
type: item
description: Currently, groundwater in China faces significant challenges from heavy metals such as fluorine and arsenic, as well as various emerging organic pollutants. Activated alumina-based materials are evolving from traditional single adsorption functions toward multifunctional composite environmental material systems. From the dual perspectives of practical application and environmental impact, this article briefly reviews recent advances in the functional design and engineering application challenges of activated alumina-based materials in groundwater remediation. Through methods such as surface functionalization, multi-scale structural compositing, and interfacial reaction modulation, activated alumina-based materials can achieve selective treatment and degradation of specific contaminants in groundwater. Concurrently, challenges related to long-term stability, regenerability, and compatibility with multi-technology coupling under dynamic hydrogeological conditions must be addressed. By analyzing experimental approaches such as metal/non-metal modification and organic-inorganic hybridization, which enhance the adsorption and catalytic functions of materials, this article explores novel non-radical catalytic pathways based on Lewis acid sites. Through a multidimensional integration of materials, interfaces, processes, and systems, future research directions and principles for practical engineering application design are proposed, providing theoretical references for the advancement of groundwater remediation technologies.
subject: 文章
  topic: section
subject: Activated alumina
  topic: keywords
subject: Groundwater remediation
  topic: keywords
subject: Adsorption-catalysis integration
  topic: keywords
subject: Material design
  topic: keywords
subject: Engineering application
  topic: keywords
creator: Dongfang BI
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-31
publication date: 2026-03-31
starting page: 30
ending page: 34
doi: 10.65196/td9v0497

Research on the Route of Integrating Cultural Confidence into Corporate Culture Construction under the Background of Cultural Power
type: item
description: Corporate culture is the spiritual strength of enterprise development, and cultural confidence is an important guarantee for the cohesion and soul building of corporate culture. Integrating cultural confidence into the construction of corporate culture in China under the background of building a strong cultural nation can help guide enterprises to establish correct business concepts and values, and promote their development towards a healthy and sustainable direction. Firstly, based on a brief description of the connotation of cultural confidence, the importance of cultural confidence in corporate culture construction is proposed. Then, from the perspective of cultural confidence, this article elaborates on the problems in the construction of corporate culture in China from five aspects: traditional culture, advanced culture, regional culture, personal culture, and employee culture. Finally, it is pointed out that the integration of corporate culture construction into cultural confidence needs to be promoted collaboratively from three levels: ideology, system, and practice, and specific integration paths are proposed.
subject: 文章
  topic: section
subject: Cultural power
  topic: keywords
subject: Cultural confidence
  topic: keywords
subject: Corporate culture
  topic: keywords
subject: Integration
  topic: keywords
subject: Route
  topic: keywords
creator: Li YANG
creator: Junjie ZHANG
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-31
publication date: 2026-03-31
starting page: 12
ending page: 21
doi: 10.65196/zzrdx788

Research on the“Semantic Reversal”Mechanism and Precise Governance of Dialect-Based Public Sentiment in a Multimodal Context:A Cross-Platform Analysis Based on Chongqing's“Fat Cat Incident”
type: item
description: Addressing the challenges of modal fragmentation and dialect-based“semantic divides”in multimodal online public opinion governance, this study employs the Chongqing“Fat Cat Incident”as an empirical case to construct a dialect-context-oriented cross-modal semantic alignment model (D-CMSA).Through cross-platform comparative analysis of 8,542 Weibo posts and 312 high-engagement Douyin videos,we measured the emotional evolution trajectories of dialect vocabulary and the mobilization mechanisms of visual symbols.Empirical validation confirms that the D-CMSA model possesses the capability to uncover deep public sentiment features difficult to capture through single-modality analysis.These features can be distilled into two core effects:First, the sentiment amplification effect,where the co-occurrence of negative audiovisual symbols increases negative sentiment intensity by an average of 42.9%. Second,the semantic reversal effect:28.5% of samples demonstrate that dialect texts with neutral surface semantics are reconfigured into ironic or resentful symbols within specific visual contexts,exhibiting significant phased semantic drift characteristics.This study proposes establishing a dynamic dialect sentiment lexicon to address semantic drift and employs cross-modal consistency verification algorithms to prevent covert dissemination in public opinion governance.
subject: 文章
  topic: section
subject: Multimodal semantic fusion
  topic: keywords
subject: Dialect-based public opinion
  topic: keywords
subject: Audiovisual metaphor
  topic: keywords
subject: Emotional amplification
  topic: keywords
subject: Semantic reversal
  topic: keywords
creator: Na ZHU
creator: Lingxian JIANG
creator: Jiao PENG
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-31
publication date: 2026-03-31
starting page: 1
ending page: 11
doi: 10.65196/y9eyz020

Monitoring and Genesis Analysis of Surface Deformation in Shenxianpo Coal Mine, Liupanshui Using SBAS-InSAR Technology
type: item
description: The karst landscape of Guizhou is notably developed, with complex geological conditions where surface deformation often exhibits characteristics of concealment, abruptness, and nonlinearity. Traditional ground-based monitoring methods are limited by terrain and accessibility, making it difficult to achieve comprehensive coverage of the study area. Differential interferometric radar technology is prone to interference from temporal-spatial decorrelation and atmospheric errors under complex topographic conditions. Based on 54 scenes of Sentinel-1A satellite data from the Shenxianpo Coal Mine in Liupanshui, this study applied the Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) technique to analyze the time-series characteristics of surface deformation. The results indicate that during the period from January 12, 2023, to January 1, 2025, the mining area exhibited a non-uniform subsidence trend from west to east, with a maximum cumulative subsidence of approximately 138 mm and a maximum subsidence rate of about 62 mm/a. As mining activities continued, surface subsidence showed an accelerating trend, and the affected area gradually expanded, revealing a significant correlation between mining intensity and surface deformation. This study verifies the efficiency and reliability of the SBAS-InSAR technique in monitoring surface deformation in mining areas, providing a reference case for early warning of geological hazards and safety management in similar mining regions in southwestern China.
subject: 文章
  topic: section
subject: SBAS-InSAR
  topic: keywords
subject: Mining-induced deformation
  topic: keywords
subject: Time-series displacement analysis
  topic: keywords
subject: Subsidence depression
  topic: keywords
creator: Haoming GENG
creator: Xiaodong DENG
creator: Xianyun ZHANG
creator: Naiquan ZHENG
creator: Tao YANG
creator: Pengfei RAN
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-03-31
publication date: 2026-03-31
starting page: 22
ending page: 29
doi: 10.65196/n1ykw425

Economic Drive of the Musical Technology Revolution: A Case Study of City Pop
type: item
description: This paper focuses on Japan's bubble economy period from the mid-to-late 1980s to the early 1990s, aiming to delve into how macroeconomic prosperity systematically drove a technological paradigm shift in the field of popular music production and thereby gave birth to and defined the iconic music genre of City Pop. Rather than viewing music styles as mere cultural reflections, the study adopts an interdisciplinary approach from the intersection of technological sociology and industrial economics, demonstrating how economic capital, through the acquisition of cutting-edge equipment, restructuring of production processes, and shaping of consumer markets, completely revolutionized the infrastructure of music production. The core empirical section of the paper centers on the technological practices of two arrangers, Motoyoshi Funayama and Kyohei Tsutsumi, analyzing in detail how they, as "digital pioneers" and "fusion masters" respectively, applied computer music systems such as the Fairlight CMI, multi-track digital recording technology, and complex vocal arrangement concepts to their compositions, laying the precise and ornate auditory foundation for City Pop. Meanwhile, the study uses the production cases of top idols Nakajima Miyuki and Momoko Kikuchi as a lens to reveal how, under high-budget production models, resources were channeled into recording, arrangement, and performance to elevate idol products to the level of near-artistry. Ultimately, this paper posits that City Pop represents the "technological realization" of the bubble economy in the acoustic realm, with its rise and fall not only reflecting economic cycles but also leaving a lasting technological legacy and aesthetic symbols. It offers important insights for understanding the deep interplay between economic conditions and cultural and artistic production.
subject: 文章
  topic: section
subject: Bubble economy
  topic: keywords
subject: Musical technology
  topic: keywords
subject: City Pop
  topic: keywords
creator: Chenye WANG
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-28
publication date: 2026-02-28
starting page: 22
ending page: 31
doi: 10.65196/j206qw10

Research on the Reconstruction Strategy of Rock Music Lyrics from the Perspective of Mediatization
type: item
description: In the era where media platforms deeply participate in content production, the textual presentation logic of Chinese music variety shows has undergone significant changes. After rock works enter mainstream variety shows, they often undergo systematic lyric adjustments. This paper uses the mediaization theory as the analytical framework, based on the "original lyrics - broadcast lyrics" sentence-by-sentence comparison of more than thirty works in programs such as "Summer Band", and adopts descriptive content analysis and text comparison analysis to summarize the structural characteristics and operational paths of lyric rewriting in the program context. The research finds that under the joint influence of platform rules, broadcasting norms, and narrative rhythm, the program production tends to achieve "broadcastable expression" through language neutrality, semantic intensity adjustment, and image generalization; as a result, expressions in the original work that are highly directional, have high emotional intensity, or have a high risk of cross-cultural understanding are weakened or restructured, but social experience and young emotions do not disappear; instead, they are retained in metaphorical, emotional, and positive ways. This paper can provide references for rock lyric creation, variety show text construction, and understanding of youth culture.
subject: 文章
  topic: section
subject: Mediaization
  topic: keywords
subject: Rock music
  topic: keywords
subject: Lyric rewriting
  topic: keywords
subject: Variety show
  topic: keywords
subject: Cultural construction
  topic: keywords
creator: Xinyu XING
creator: Xiangwei KONG
creator: Qingtian MENG
creator: Aimin SU
creator: Binhui LI
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-28
publication date: 2026-02-28
starting page: 7
ending page: 13
doi: 10.65196/58qvgj15

Research on the Practice and Optimization of Technology Transfer for Lithium-Ion Battery Cathode Materials
type: item
description: As a core component of power batteries for new energy vehicles and energy storage systems, cathode materials play a pivotal role in determining the pace of industrial chain upgrading through their technology transfer efficiency. This paper takes Fangyuan Group as a case study to examine its approaches and outcomes in technology transfer. It identifies key challenges currently constraining Fangyuan’s scale of technology commercialization, including mismatches between production capacity and market demand, limitations inherent in its demand-driven R&D model, and insufficient talent reserves coupled with inadequate incentive mechanisms. To address these issues, the study proposes targeted optimization strategies: establishing collaborative mechanisms with research institutions and technology transfer agencies, deepening engagement with end-users, strengthening intellectual property protection, and enhancing the human resource system dedicated to technology transfer and commercialization. These recommendations aim to provide practical insights for cathode material enterprises seeking to overcome bottlenecks in technology transfer.
subject: 文章
  topic: section
subject: Lithium battery
  topic: keywords
subject: Cathode materials
  topic: keywords
subject: Technology transfer
  topic: keywords
subject: Fangyuan group
  topic: keywords
subject: Industry-academia-research collaboration
  topic: keywords
subject: International technology cooperation
  topic: keywords
creator: Huajie OU
creator: Yujin LI
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-28
publication date: 2026-02-28
starting page: 32
ending page: 37
doi: 10.65196/s3fbca77

From Self-help to Transcendence: A Study on the Intervention Mechanism of AI-supported Library Reading Therapy on the Inferiority Complex of Poor Students
type: item
description: Under the background of the popularization of higher education, poor college students, due to multiple factors such as economic pressure, social comparison and resource limitations, generally have varying degrees of inferiority complex, which seriously affects their academic development and personality integrity. The traditional mental health intervention model is confronted with challenges such as limited coverage, obvious privacy concerns and insufficient personalization. This thesis explores the combination of artificial intelligence technology and library reading therapy to construct a new intervention mechanism for the inferiority complex of poor students. The research first analyzes the special manifestations and causes of inferiority complex among impoverished students, and then systematically expounds how AI technology emempower reading therapy to achieve precise identification, personalized matching and dynamic assessment. On this basis, a systematic intervention model including four major links: intelligent recognition and evaluation, personalized resource matching, immersive healing scenarios, and effect evaluation and feedback is designed, and its practical path is illustrated through cases. Finally, countermeasures and suggestions are put forward for potential challenges such as technological dependence, the digital divide, and privacy protection. Research shows that AI-supported library reading therapy can provide low-cost, easily accessible and highly privacy-protected psychological intervention services for impoverished students, helping them achieve psychological growth from "self-help" to "transcendence", and providing a new model for the innovation of mental health education in colleges and universities.
subject: 文章
  topic: section
subject: Artificial intelligence
  topic: keywords
subject: Reading therapy
  topic: keywords
subject: Poor college students
  topic: keywords
subject: Inferiority complex
  topic: keywords
subject: Intervention mechanism
  topic: keywords
subject: Smart library
  topic: keywords
creator: Nan LIU
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-28
publication date: 2026-02-28
starting page: 14
ending page: 21
doi: 10.65196/c0c5sq61

Digital Empowerment: An Initial Exploration of Multidimensional Innovation and Integrated Development in Sports Technology
type: item
description: This article is based on the background of the digital transformation of sports, aiming to systematically sort out the innovative practices and integration paths of sports technology in multiple fields, in order to provide reference for promoting the development of sports research and application. The study first explains the inevitability of digital technology driving the paradigm transformation of sports science, and then constructs the core system of digital sports technology around four pillars: sports physiological and biochemical monitoring, intelligent intervention and health care, sports big data and artificial intelligence applications, and intelligent equipment and scene research and development. On this basis, the article combines special sports digitalization, emerging therapy applications, sports for special populations, and industrial ecology to analyze the current progress and challenges. Finally, countermeasures and suggestions are proposed from the aspects of strengthening top-level policy design, deepening the integration of industry, academia, and research, strengthening ethical and data governance, and promoting inclusive development, in order to provide theoretical support and practical guidance for building a higher-level public service system for national fitness and serving the Healthy China strategy.
subject: 文章
  topic: section
subject: Digital technology
  topic: keywords
subject: Sports technology
  topic: keywords
subject: Exercise intervention
  topic: keywords
subject: Integrated development
  topic: keywords
creator: Zehao CHEN
creator: Kai LI
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-02-28
publication date: 2026-02-28
starting page: 1
ending page: 6
doi: 10.65196/22cr9917

National Cultural Digitization Strategy: Connotation, Practice and Prospect
type: item
description: Culture is the soul of a nation. Amid the rapid advance of information technology, a global tide of digitization has swept across every field, making the deep convergence of culture and digital technology an historical inevitability. With keen foresight, the CPC Central Committee and the State Council have taken the major strategic decision to launch the National Cultural Digitization Initiative, charting a clear course for the high-quality development of China's cultural sector and cultural industries. This paper probes the connotation and significance of the National Cultural Digitization Strategy, reviews the policy measures adopted by the central and local governments and their implementation, sums up current achievements and challenges, and looks ahead to future trends. It aims to provide useful reference for fully implementing the National Cultural Digitization Initiative and for accelerating the digital transformation of cultural industries and the building of a culturally strong country.
subject: 文章
  topic: section
subject: National cultural digitization strategy
  topic: keywords
subject: Culturally strong country
  topic: keywords
subject: Digital transformation
  topic: keywords
subject: Cultural industries
  topic: keywords
subject: Public cultural services
  topic: keywords
creator: Kaibo ZHANG
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-31
publication date: 2026-01-31
starting page: 39
ending page: 43
doi: 10.65196/zkk14j77

Technological Innovation and Practical Progress in Mine Ecological Restoration from the Perspective of AI and Big Data Empowerment
type: item
description: With the continuous intensification of mineral resource development in China, ecological issues in mining areas have become increasingly prominent. Traditional ecological restoration technologies exhibit significant limitations in restoration efficiency, monitoring methods, and intelligent decision-making. In recent years, the rapid development of artificial intelligence (AI) and big data technologies has introduced new technical pathways and governance models for mine ecological restoration. From the perspective of AI and big data empowerment, this paper systematically reviews the current research background, mainstream methods, and typical challenges in mine ecological restoration. It focuses on summarizing the latest application advancements of AI and big data in ecological damage identification, dynamic monitoring, restoration effect evaluation, and intelligent decision support. The study reveals that deep learning algorithms based on remote sensing imagery, damage identification systems driven by knowledge graphs, and comprehensive restoration supervision systems built on big data platforms have been successfully implemented in multiple mine restoration cases. The paper also analyzes current technical challenges in data standardization, model interpretability, and cross-regional adaptability, proposing future efforts should focus on multi-source heterogeneous data integration, construction of industry-specific intelligent models, and coordinated policy-technology advancement to achieve digital, intelligent, and refined transformation in mine ecological restoration. This research provides technical support and theoretical references for green mining development and ecological civilization construction.
subject: 文章
  topic: section
subject: Artificial intelligence
  topic: keywords
subject: Big data; Mine ecological restoration
  topic: keywords
subject: Remote sensing monitoring
  topic: keywords
subject: Intelligent decision-making
  topic: keywords
creator: Xiangfu LU
creator: Jiashu AN
creator: Jinluo LI
creator: Shujia FENG
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-31
publication date: 2026-01-31
starting page: 33
ending page: 38
doi: 10.65196/pz8j0292

Paradigm Shift in Banking Compliance Governance Driven by Artificial Intelligence
type: item
description: With the deep integration of technologies such as generative artificial intelligence, compliance governance in the banking sector is facing fundamental challenges arising from "algorithmic black boxes," model hallucinations, and data ethics. Based on representative practices in the global banking industry from 2024 to 2025, this study systematically analyzes the paradigm shift in AI-driven compliance governance—from "passive response" to "active embedding," and from "tool application" to "operating system-level capabilities." The analysis indicates that leading institutions are transforming compliance into a core competitive advantage by constructing automated governance frameworks covering the entire lifecycle, advocating for the ethical principle of "building trust through design," and promoting collaborative innovation within "regulatory sandboxes." The research suggests that the future competitiveness of the banking industry will depend not only on the diversity of technological applications but also on whether governance systems can internalize ethical constraints as technical foundations, thereby establishing a dynamic balance between innovation and stability.
subject: 文章
  topic: section
subject: AI governance
  topic: keywords
subject: Banking compliance
  topic: keywords
subject: Model risk management
  topic: keywords
subject: Full lifecycle governance
  topic: keywords
subject: Ethical alignment
  topic: keywords
subject: Regulatory technology (RegTech)
  topic: keywords
creator: Chenye WANG
creator: Pei ZHI
creator: Yilian YU
creator: Xiqing ZHOU
creator: Xuan DING
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-31
publication date: 2026-01-31
starting page: 26
ending page: 32
doi: 10.65196/begf2a64

From Linear to Networked: The Paradigm Revolution and Industrial Reconstruction of Documentary Interactive Communication in the Era of Digital Intelligence
type: item
description: In the era of digital intelligence, the deep integration of digital technologies and artificial intelligence has reconstructed the media ecosystem, leading to a profound transformation in documentary communication modes from linear, one-way transmission to networked, bidirectional interactive communication. Based on the theoretical framework of interactive communication and incorporating typical domestic and international cases as well as industry practices, this paper systematically explores the internal mechanisms, technological support, and practical pathways of documentary interactive communication. The study finds that interactive documentaries achieve a dynamic balance among "communicators-content-users" through nonlinear narrative structures, multimodal interactive interfaces, and user-participatory creation. However, they face challenges such as technological adaptability, content ethics, and commercial sustainability. The research proposes a "technology-content-user" three-dimensional collaborative strategy to provide theoretical support and practical references for the digital transformation of the documentary industry.
subject: 文章
  topic: section
subject: Era of digital intelligence
  topic: keywords
subject: Documentary
  topic: keywords
subject: Interactive communication
  topic: keywords
subject: Industrial reconstruction
  topic: keywords
creator: Ruiyan AN
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-31
publication date: 2026-01-31
starting page: 18
ending page: 25
doi: 10.65196/8bzc1x77

A Comparative Study on the Language Aesthetics of AI Synthetic Streamers and Real Streamers
type: item
description: With the rapid iteration of "smart media" technology, AI synthetic anchors have widely emerged in scenarios such as news broadcasts, variety shows, and e-commerce live streaming, and they are reshaping the traditional landscape of broadcasting and hosting. Compared with previous studies on technical routes and industrial impacts, the analysis of the differences in "language aesthetics" between AI-generated live-streamers and real live-streamers remains limited. After systematically reviewing relevant literature, this paper introduces theories such as embodied communication, media affordance, and the aesthetics of audible language to conduct a comparative analysis of AI synthetic anchors and real anchors in terms of voice form, language style, emotional expression, and value implications, revealing the advantages of AI synthetic anchors in controllability, efficiency, and standardization. And there are deficiencies in terms of breath rhythm, emotional texture and cultural connotation. In the future practice of news dissemination, a "human-machine collaboration" pattern of anchors may emerge. Ai-synthesized anchors will undertake structured and regular information broadcasting, while real anchors will maintain the high ground of language aesthetics through their presence and individual style.
subject: 文章
  topic: section
subject: AI synthetic streamer
  topic: keywords
subject: Real live-streamer
  topic: keywords
subject: Language aesthetics
  topic: keywords
subject: Embodied communication
  topic: keywords
subject: Broadcasting and hosting
  topic: keywords
creator: Binhui LI
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-31
publication date: 2026-01-31
starting page: 12
ending page: 17
doi: 10.65196/sszsny69

"AI Poet" in the Classroom: A Study on the Creative Teaching Model of Poetry in Primary and Secondary Schools Empowered by Technology
type: item
description: Currently, poetry teaching in primary and secondary schools faces problems such as rigid teaching models, single teaching methods, and students' lack of emotional experience. To effectively address this dilemma, this study proposes a creative teaching model integrated with generative artificial intelligence (AI) technology. With "AI Poet" as an intelligent auxiliary tool, the core of this model lies in using natural language processing, virtual reality and other technologies to reconstruct the teaching process of "experience-interaction-creation" through approaches such as situational creation, virtual dialogue, intelligent analysis and poetic extension. Combined with the teaching practice case of Sending Yuan Er to Anxi, the study elaborates on the implementation methods and effects of this model. The results show that this model can effectively stimulate students' interest in poetry learning, promote the development of their innovative thinking and aesthetic ability, and drive the transformation of teaching objectives from knowledge transmission to core literacy cultivation. It provides a referential paradigm for the reform and innovation of poetry teaching in primary and secondary schools.
subject: 文章
  topic: section
subject: AI poet
  topic: keywords
subject: Poetry in primary and secondary schools
  topic: keywords
subject: Creative teaching
  topic: keywords
subject: Sending Yuan Er to Anxi
  topic: keywords
creator: Yuru DANG
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-31
publication date: 2026-01-31
starting page: 7
ending page: 11
doi: 10.65196/g2bhr544

Research on Hybrid Decoding of LDPC Codes Based on QUBO Modeling and Quantum Annealing
type: item
description: Low-Density Parity-Check (LDPC) codes, as a class of high-efficiency error-correcting codes with sparse parity-check matrices, have demonstrated enormous potential in the field of communications since their rediscovery, and have become a core coding scheme especially in the fifth-generation (5G) wireless communication systems. To address the decoding problem of LDPC codes in complex channel environments, this paper proposes an innovative quantum-classical hybrid decoding architecture. By transforming the decoding problem into a Quadratic Unconstrained Binary Optimization (QUBO) problem, the architecture leverages the parallel processing capability of coherent optical quantum computers to accelerate the iterative decoding process. The research focuses on two typical scenarios specified in the 5G standard: the high-throughput scenario (dominated by BG1 with long code length and high code rate) and the low-complexity scenario (dominated by BG2 with short code length and low code rate). Through establishing a rigorous mathematical model, a hybrid decoder based on quantum annealing and the belief propagation algorithm is designed in this paper, and the Bayesian optimization method is adopted to adaptively adjust key parameters such as the maximum number of iterations and damping factor. This research provides an important theoretical foundation and practical scheme for the practical application of quantum computing in the field of communications.
subject: 文章
  topic: section
subject: LDPC codes
  topic: keywords
subject: Quantum-classical hybrid decoding
  topic: keywords
subject: QUBO problem
  topic: keywords
subject: Belief propagation algorithm
  topic: keywords
subject: Quantum annealing
  topic: keywords
creator: Yutong ZHANG
rights: Copyright (c) 2026 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2026-01-31
publication date: 2026-01-31
starting page: 1
ending page: 6
doi: 10.65196/fdddws55

Review of Metal-Organic Frameworks (MOFs) in Electronic Strain Skin
type: item
description: With the continuous development of flexible electronic technology, electronic strain skin, as an important component that mimics human skin's ability to perceive external strains, has attracted increasing attention. Metal-organic framework (MOF) materials are particularly distinctive for electronic strain skin due to their tunable porous structure, high specific surface area, excellent flexibility, and chemical stability. This paper summarizes the latest applications of MOF materials in flexible strain sensors, focusing on their roles in enhancing sensor sensitivity, response speed, and cyclic stability. By rationally designing the structure and composition of MOFs to improve the signal conversion performance and mechanical durability of electronic skin, they can play a significant role in various fields such as health monitoring, human-computer interaction, and soft robotics. Although remarkable achievements have been made in current research, challenges still exist in aspects like large-scale material preparation, environmental adaptability, and long-term stability. Future research should continue to explore methods for improving the interface between MOFs and flexible substrates, and develop novel composite structures, thereby expanding the potential of their applications in multifunctional electronic skin.
subject: 文章
  topic: section
subject: 金属有机框架
  topic: keywords
subject: 电子应变皮肤
  topic: keywords
subject: 柔性传感器
  topic: keywords
subject: 可穿戴设备
  topic: keywords
subject: 智能材料
  topic: keywords
creator: Shan WU
creator: Lei XIONG
creator: Le LIANG
creator: Yuehua WANG
creator: Wenyan YOU
rights: Copyright (c) 2025 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-12
publication date: 2025-12-12
starting page: 40
ending page: 45
doi: 10.65196/v58fe611

Research Review on AI-Driven Fault Prediction and Diagnosis Methods for Power Systems
type: item
description: In the current era of deep integration between energy transition and digitalization, power systems as critical infrastructure are facing increasingly complex operational challenges. The rapid development of artificial intelligence (AI) technology has injected new theoretical momentum and methodological support into the field of fault prediction and diagnosis. This paper systematically reviews the evolution from traditional physics-based diagnostic mechanisms to data-driven intelligent paradigms, with a focus on analyzing the integration pathways of cutting-edge AI methods such as deep learning, graph neural networks, and transfer learning in power equipment condition monitoring, fault feature extraction, and causal inference. The research demonstrates that AI technology can significantly enhance the representation capabilities of high-dimensional, non-stationary power system data, enabling early warning of potential faults and accurate identification of multi-source faults, while showing distinct advantages in addressing uncertainties brought by renewable energy integration. However, current research still faces challenges including poor model interpretability, inadequate adaptability to small-sample scenarios, and incomplete cross-domain knowledge transfer mechanisms. Future research should focus on constructing hybrid intelligent diagnostic frameworks combining physical constraints with data-driven approaches, exploring lightweight model deployment strategies for edge computing, and strengthening interdisciplinary theoretical integration to promote the autonomous and intelligent development of power system fault management.
subject: 文章
  topic: section
subject: Artificial intelligence
  topic: keywords
subject: Power system
  topic: keywords
subject: Fault prediction
  topic: keywords
subject: Fault diagnosis
  topic: keywords
subject: Smart grid
  topic: keywords
creator: Shan WANG
rights: Copyright (c) 2025 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-12
publication date: 2025-12-12
starting page: 34
ending page: 39
doi: 10.65196/h5e9rv30

AI Technology Reshaping the Securities Industry: Model Transformation, Essence Interpretation, and Development Pathways
type: item
description: With the rapid development of artificial intelligence technology, the securities industry is undergoing unprecedented and profound changes. This paper systematically analyzes the practical application of AI technology in the front, middle, and back offices of securities institutions and across various business processes, delving into the underlying technological driving logic and the essential transformations within the industry. The study reveals that AI technology has evolved from an auxiliary tool to a core infrastructure of the securities industry. Applications such as Huatai Securities' "AI Zhang Le" are propelling intelligent investment services from a "functional" to an "intelligent" leap. This paper interprets the essential characteristics of the AI-driven securities industry from three dimensions: technology acceptance, service models, and risk profiles. It highlights current challenges such as model hallucination, data security, and ethical misconduct, and proposes a tiered development pathway and regulatory recommendations. The research indicates that AI technology is reconstructing the value creation model of the securities industry, driving its transformation from experience-driven to data- and intelligence-driven.
subject: 文章
  topic: section
subject: Artificial intelligence
  topic: keywords
subject: Securities
  topic: keywords
subject: Fintech
  topic: keywords
creator: Chenye WANG
creator: Xiqing ZHOU
rights: Copyright (c) 2025 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-12
publication date: 2025-12-12
starting page: 25
ending page: 33
doi: 10.65196/hsxy2241

Research on the planning and application of artificial intelligence data mining in intelligent automobile enterprises
type: item
description: As the global automotive industry accelerates its"data-driven"transformation, intelligent automakers face challenges in effectively leveraging massive data assets through traditional methods. AI data mining has emerged as a critical breakthrough. This paper explores the application of AI data mining technologies in smart automotive enterprises, proposing key technologies (data preprocessing, machine learning, deep learning), comprehensive value chain planning (R&D, design, production, operations, services, user engagement), and practical implementations (BYD's end-to-end data applications, NVIDIA security solutions). It summarizes core AI data mining technologies (data security, algorithm stability, talent development) and corresponding strategies. Through strategic planning and practical applications of AI data mining, this study drives the"data assetization"of intelligent automakers, providing valuable insights for the industry's intelligent transformation.
subject: 文章
  topic: section
subject: Smart car manufacturers
  topic: keywords
subject: Artificial intelligence
  topic: keywords
subject: Data mining
  topic: keywords
subject: Full value chain
  topic: keywords
subject: Digital transformation
  topic: keywords
creator: Ming TANG
rights: Copyright (c) 2025 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-12
publication date: 2025-12-12
starting page: 20
ending page: 24
doi: 10.65196/zdvwcd49

Digital Transformation Ushers in a New Era for the Insurance Industry
type: item
description: Amid the global wave of digital transformation in the insurance industry, artificial intelligence technology is evolving from an auxiliary tool to core infrastructure, driving a profound paradigm revolution within the sector. Based on the agent theory framework, this paper systematically explains the application mechanisms of AI technology in key areas such as insurance business process re-engineering, product innovation, and risk management. By constructing an agent model of "Environmental Perception - Autonomous Decision-Making - Collaborative Execution - Continuous Evolution," it provides an in-depth analysis of the internal operational logic and development path of insurance agents. Research indicates that insurance agents, through four core processes—multi-source data perception, deep learning decision-making, automated execution, and continuous evolution—propel the industry's transformation from traditional experience-driven models to data-and-intelligence-driven ones. This paper conducts in-depth analyses of representative cases, including ZhongAn Insurance, Taikang Online, and Pacific Health Insurance, to validate the applicability and effectiveness of agent theory in insurance practice, offering both theoretical support and practical references for the industry's intelligent transformation. The study finds that AI technology not only significantly enhances the operational efficiency of insurance businesses but also exerts a profound impact on risk pricing, product innovation, and service experience. However, it simultaneously faces multiple challenges such as model reliability, data security, and ethical governance, necessitating the synergistic advancement of technological iteration, regulatory innovation, and organizational adaptation.
subject: 文章
  topic: section
subject: Digital transformation
  topic: keywords
subject: Artificial intelligence
  topic: keywords
subject: Agent theory
  topic: keywords
subject: InsuranceInsurance
  topic: keywords
creator: Chenye WANG
rights: Copyright (c) 2025 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-12
publication date: 2025-12-12
starting page: 13
ending page: 19
doi: 10.65196/fq33nz57

AI-empowered Library Reading Therapy: A Study on the Path to Alleviate the Inferiority Complex of Poor Students in Western Universities
type: item
description: This article focuses on the issue of inferiority complex among impoverished students in western universities, exploring how AI technology can empower library reading therapy and establish an effective psychological intervention path. Studies show that poor students in western colleges and universities are prone to have a strong sense of inferiority due to factors such as economic pressure, social environment, school education and personal cognition. Traditional reading therapy has problems such as limited resources and insufficient personalization. By constructing a four-dimensional path of "data-driven - resource construction - technology application - effect evaluation", AI technology can achieve precise identification, personalized book recommendation for reading, intelligent interactive companionship and dynamic effect evaluation, forming a systematic intervention plan. Finally, this paper puts forward relevant implementation suggestions and future prospects, providing theoretical and practical references for alleviating the inferiority complex of poor students in western colleges and universities.
subject: 文章
  topic: section
subject: AI empowerment
  topic: keywords
subject: Western universities
  topic: keywords
subject: Poor students
  topic: keywords
subject: Inferiority complex
  topic: keywords
subject: Library reading therapy
  topic: keywords
creator: Nan LIU
rights: Copyright (c) 2025 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-12
publication date: 2025-12-12
starting page: 6
ending page: 12
doi: 10.65196/1csakr50

Generative Artificial Intelligence Empowering Education on Forging a Strong Sense of Community for the Chinese Nation: Connections, Dilemmas and Strategies
type: item
description: With the explosive development of generative artificial intelligence (GAI), it has served as a new engine for advancing China's economic and cultural progress, while presenting new opportunities and challenges for education on forging a strong sense of community among the Chinese nation. It is bound to become a novel tool facilitating the development of the Chinese national community. Currently, to better achieve the goal of forging a strong sense of community among the Chinese nation, we should proactively embrace technological advancements and explore the applicability of GAI in this educational domain. GAI can be harnessed to provide new research perspectives and methodological support for such education, mitigate the multiple problems and impacts arising from GAI, and further promote the construction of the Chinese national community.
subject: 文章
  topic: section
subject: 生成式人工智能
  topic: keywords
subject: 铸牢中华民族共同体意识教育
  topic: keywords
creator: Chi MA
rights: Copyright (c) 2025 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2025-12-12
publication date: 2025-12-12
starting page: 1
ending page: 5
doi: 10.65196/qh62x929

Analysis of Development Paths and Feasibility Demonstration of Integrated PV-Storage-Charging Solutions
type: item
description: With the continuous growth of electric vehicle ownership and the in-depth advancement of the "dual carbon" goals, traditional charging infrastructure faces challenges such as tight power supply, high capacity expansion costs, and insufficient renewable energy absorption capacity. The integrated PV-storage-charging system, by integrating photovoltaic power generation, energy storage regulation, and intelligent charging technologies, has become an effective path to promote the green transformation of the energy structure. Based on the technical architecture and application scenarios of the integrated PV-storage-charging system, this paper systematically explores its development paths and demonstrates its implementation feasibility from multiple dimensions including technology, economy, and policies, aiming to provide theoretical reference for practice in related fields.
subject: 文章
  topic: section
subject: 光储充一体化
  topic: keywords
subject: 电动汽车
  topic: keywords
subject: 储能系统
  topic: keywords
subject: 可行性论证
  topic: keywords
subject: 能源转型
  topic: keywords
creator: Xingsheng WU
creator: Xingqiu WU
creator: Jiamian WU
rights: Copyright (c) 2025 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-30
publication date: 2025-11-30
starting page: 25
ending page: 27
doi: 10.65196/71swy458

Research status and prospect of intelligent networked line control chassis system development based on artificial intelligence
type: item
description: With the deep integration of the automotive industry and information technology, intelligent connected vehicles have become a major trend in industry development. As a crucial component of smart connected vehicles, the development of wire-controlled chassis systems has garnered significant attention. The research focuses on analyzing the coupling mechanisms between key technologies such as wire-controlled drive, wire-controlled braking, wire-controlled steering, and chassis domain control. By applying artificial intelligence (AI) for environmental perception, decision-making planning, and multi-source information fusion, this approach aims to achieve high dynamic response and collaborative control capabilities in chassis platforms, enabling excellent adaptability in complex scenarios. This paper explores the application of AI technology in the development of intelligent connected wire-controlled chassis systems, outlines key technical pathways, and proposes innovative development solutions. The study aims to provide reference solutions for the engineering implementation of intelligent connected chassis technologies.
subject: 文章
  topic: section
subject: 人工智能
  topic: keywords
subject: 智能网联汽车
  topic: keywords
subject: 线控底盘
  topic: keywords
subject: 底盘控制系统
  topic: keywords
subject: 自动驾驶
  topic: keywords
creator: Lin WANG
creator: Changlei ZHANG
creator: Junling PENG
rights: Copyright (c) 2025 Journal of science and technology exploration https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-30
publication date: 2025-11-30
starting page: 20
ending page: 24
doi: 10.65196/gps6v882