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  • Yifei YANG
    Science Technology and Industry. 2025, 25(13): 140-145.

    Technological innovation serves as a significant driving force for economic growth. Taking the nine provinces in the Yangtze River Basin as the research object and based on panel data from 2011 to 2022, the impact of technological innovation factors on industrial economic development was studied. Empirical findings reveal that the level of technological innovation factors has an overall positive influence on regional industrial economic development. Technological innovation significantly impacts industrial economic development through various means, such as optimizing industrial structure, enhancing production efficiency, driving consumption structure upgrading, and creating new economic growth points. After conducting numerous robustness tests, this conclusion remains valid. Finally, based on the research findings, policy suggestions are proposed to promote the coordinated development of science, technology, and the economy in the region.

  • Xiangyang LIU, Xuantong LIU, Wei TAN, Xiangwei KONG
    Science Technology and Industry. 2025, 25(13): 34-39.

    In response to the technical difficulties of the deep exploration and evaluation well FG119 in the Xujiahe Formation of the Sichuan Basin, an “S” shaped wellbore trajectory was designed, with limited ground conditions, resulting in increased difficulty in trajectory controlling and high safety risks of drilling tools. The implementation plan of the ϕ165.1 mm slimming well was adopted, and the development of fractures in the Xujiahe Formation and the high and low pressure interlayers led to high well controlling risks. Therefore, optimization technology for slimming well wellbore structure, complex trajectory optimization design, establishment of four pressure profiles in fractured formations, and supporting technologies such as pre bending dynamic drilling tool combination, fine pressure control, and friction reduction were carried out. This ensured the smooth completion of the first deep “S” shaped slim well in the work area, providing technical reference for the subsequent construction of complex wellbore track wells in the block.

  • Hongyan LIANG, Hui WEI, Quanzhong LI, Feng ZHANG
    Science Technology and Industry. 2025, 25(13): 14-21.

    Exploring the best method of regional landslide susceptibility assessment is of great importance for accomplishing regional hazard prevention and mitigation work.Taking Xishan mining area in Shanxi Province as the study area, nine assessment factors were selected including elevation, slope, aspect, relief, normalized vegetation index(NDVI), the engineering rock group, distance from faults, distance from roads, distance from drainages, the susceptibility of landslide hazard was evaluated and verified in certainty factor(CF) model, logistic regression model and CF-Logistic coupling model respectively, the location of landslide prone area in the study area is obtained, which provides reference for the prevention and control of geological disasters in this area.

  • Jiaxin ZHANG, Yuwen JI
    Science Technology and Industry. 2025, 25(13): 169-174.

    :In view of the existing problems of limited development and lack of experience of tourism electronic map products, based on the Kano model and Better-Worse four-quadrant analysis, in-depth interview method, questionnaire survey method and other research methods were comprehensively used to discuss the quality needs of users’ information. From the three dimensions of technical function, aesthetic emotion and utility value, user’s information quality demand type and satisfaction of tourism electronic map products were analyzed. In order to improve the design strategy of continuously optimizing technical function experience, some strategies are proposed, including deeply mining aesthetic emotional experience and focusing on utility value experience in the tourism electronic map experience, so as to improve tourists’ satisfaction and happiness experience index for the electronic map.

  • Pu XIONG, Chaomin LI
    Science Technology and Industry. 2025, 25(13): 211-220.

    Drawing on the coupling theory in physics, the coupling and coordinative mechanism of higher education agglomeration and regional innovation was analyzed, an evaluation index system of the two was established. Using the coupling coordination model to measure the coupling coordination degrees of the 11 cities in Zhejiang Province from 2005 to 2019, the spatial-temporal evolution process was analyzed by using spatial statistical tools. The results show that from 2005 to 2019, the comprehensive development index of higher education agglomeration in Zhejiang Province presented a fluctuating upward trend, and the comprehensive development index of regional innovation showed a spiral upward trend, higher education and regional innovation ability in Zhejiang Province has undergone an overall development, but there is an imbalance in the 11 cities. The coupling coordination degree of higher education agglomeration and regional innovation in Zhejiang Province is generally on the rise, the overall coupling coordination types was “near maladjustment and decline” in 2005, while the types became “grudging coordinated development” in 2019. The coupling coordination development level of higher education agglomeration and regional innovation in Zhejiang Province presented the spatial pattern of “coexistence of polarization-balance” and “obvious gradient differentiation of center-periphery”, the single-polarization pattern with Hangzhou as the pole transferred to the multi-center pattern with Hangzhou, Ningbo, Jiaxing as the centers, presents a gradient difference between northeast Zhejiang and southwest Zhejiang. Based on this, some countermeasures and suggestions are put forward for the coordinated development of higher education agglomeration and regional innovation in Zhejiang Province.

  • Hongguang ZHANG, Wenxiu WU, Xiaoling LUO, Xudong WANG, Di’er YU
    Science Technology and Industry. 2025, 25(13): 133-139.

    Thermoplastic resin is the main film-forming material of hot-melt marking coating, and it can guarantee the mechanical properties and service life of hot-melt marking. By changing the type and content of the resin, the influence of the resin on the mechanical properties of the hot-melt marking coating series was studied. The results show that the resin type has little influence on compressive property and wear property but has a significant impact on adhesion property, shear property, and adhesion property. At the same time, with the increase of resin content, the compressive strength increased first and then decreased, and the wear property, adhesion property, shear property, and adhesion property showed an overall increase trend. When the resin type is C5 petroleum resin and the content is not less than 20%, the hot-melt marking line has excellent mechanical properties.

  • Yunyu LONG, Qingman LI
    Science Technology and Industry. 2025, 25(13): 221-228.

    Promoting design driven product innovation is currently an important measure for enterprises to enhance product competitiveness. Therefore, based on the theory of cue utilization, the intrinsic mechanism and boundary conditions of design driven product innovation on consumer purchase intention were explored. The research results indicate that aesthetics, functionality, and symbolism all have a significant positive impact on consumer purchase intention, and psychological ownership plays a mediating role between the aesthetics, functionality, and symbolism dimensions of design driven product innovation and purchase intention. In addition, brand trust can positively regulate the relationship between aesthetic and functional dimensions and psychological ownership.

  • Gang LI, Yikun SU, Junhao LIU, Zhizhe ZHENG
    Science Technology and Industry. 2025, 25(13): 246-251.

    To promote the digitization of standards in the field of construction engineering in China, the patterns of construction engineering standards and text structures were summarized, the process of knowledge graph construction was elaborated, and both manual and natural language processing techniques were applied to build a knowledge graph in the domain of construction engineering standards. Through practical case applications of the standards, it is verified that the knowledge graph in the field of construction engineering standards exhibits good usability in structured representation, extraction, and retrieval of relevant knowledge. The constructed knowledge graph can effectively structure and represent standard knowledge in the field of construction engineering.

  • Jiarong ZHAO, Xue BAO
    Science Technology and Industry. 2025, 25(13): 252-260.

    China is in the stage of stock renewal and ecological civilization construction, and the renewal and optimization of urban waterfront space plays an important role. The CiteSpace metrology software was used to visually and quantitatively analyze 443 representative literatures in the research field of “waterfront space renewal”“waterfront redevelopment”“waterfront vitality” in Chinese National Knowledge Infrastructure(CNKI) database. The current research hotspot and trend of waterfront space were clarified. Based on this, the renewal path of urban waterfront space was briefly discussed from four aspects: “public”(serving the people), “garden”(conserving ecology), “city”(beautifying life), “municipality”(low-carbon and high-quality development).

  • Wei CHANG, Zhichao HU, Duozhao PAN, Jiwen SHI
    Science Technology and Industry. 2025, 25(13): 122-132.

    The state of health(SOH) and remaining useful life(RUL) of a battery are core indicators for evaluating battery performance degradation and potential lifespan. Accurately predicting the SOH and RUL of batteries is crucial in practical applications. To capture changes in battery performance and make predictions, operational data of the battery is typically relied on to train machine learning algorithms, such as neural networks or deep learning methods. However, traditional machine learning models often adopt a single architecture to adapt to the entire dataset, which is insufficient when dealing with complex and highly heterogeneous big data. Such models generally have the risk of insufficient generalization ability and overfitting, and are inefficient in big data processing. Therefore, Hierarchical sparse mixture of experts(HS-MoE) and multi head mixture of experts(MH-MoE) models were used to construct predictive models for battery State of Health(SOH) and Remaining Useful Life(RUL), respectively. Comparative experiments were conducted on publicly available datasets from NASA and EIS, and the results showed that the MH-MoE model outperformed the HS-MoE model in predicting SOH and RUL on both datasets.