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Table of Content

    07 February 2025, Volume 41 Issue 1

    Research on the Comprehensive Utilization of Waste Resources in Integrated Ferromanganese Mining, Ore Dressing, and Smelting Enterprises

    XU Xingwei
    2025, 41(1):  1.  doi:10. 3969/j. issn. 1009 - 0479. 2025. 01. 001
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    During the mining, beneficiation, and smelting processes of manganese iron ore, mining waste, beneficiation tailings, smelting slag, residual heat and gas collected in closed furnaces, as well as waste disposal are a bottleneck for the high-quality development of enterprises. To overcome this challenge and a- chieve the resource recycling of waste within the factory area, as well as zero waste discharge in integrated mining, beneficiation, and metallurgy enterprises, this study focuses on optimizing the process of preparing admixtures from manganese iron ore waste. Based on existing small-scale experimental data and feedback from engineering applications, an orthogonal experimental design was used to study the blending ratio of waste materials. Range analysis and variance analysis were applied to optimize the material balance ratio for waste recycling, and engineering application verification was performed for the optimal ratio. The research results show that: 1) Under the conditions of mining waste accounting for 65% , beneficiation tailings for 20% , smelting slag for 16% , and activator for 1. 5% , the prepared admixture meets the national standard technical requirements, and the waste generated at each stage is effectively balanced in terms of disposal.

    2) Considering the limitation of the logistics radius for admixtures, the study further explores the compati- bility of primary concrete raw materials and the admixtures within the logistics radius around the enterprise. The results demonstrate that the admixtures prepared in this study exhibit good compatibility with various types of cement and admixtures. 3) The integrated mining, beneficiation, and smelting manganese ore en- terprises can achieve balanced waste disposal, enhance the overall competitiveness of the enterprise, and a- chieve zero waste discharge by applying the results of this study.

    Application of Pulsed Eddy Current Electromagnetic Technology in a Carbonate Sedimentary Facies Oilfield in Saudi Arabia

    HOU Yunling', ZHANG Wenting
    2025, 41(1):  10.  doi:10. 3969/j. issn. 1009 - 0479. 2025. 01. 002
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    Electromagnetic flaw detection logging technology plays a critical role in the safe operation and extended service life of wells by detecting corrosion, wear, and defects in casing, enabling effective iden- tification and localization of issues, which allows for timely interventions. Currently, the majority of next- generation electromagnetic flaw detection logging instruments primarily utilize pulsed eddy current tech- nology. This technology not only allows for precise detection of wellbore structures and identification of defects but also provides insights into the variations in the thickness of multi-layered pipe strings, espe- cially in the corrosion and damage of third to fourth layers tubing and casing. Moreover, the practical ap- plication of full-resolution electromagnetic flaw detection instruments using this technology in Saudi oil fields has demonstrated significant advantages. It saves time and reduces costs related to tubing lifting, while also minimizing the impact on well production operations and output. The instruments excel in terms of positioning accuracy, sensitivity, and responsiveness to changes, providing oilfield engineers with accurate data to develop targeted maintenance strategies. This helps reduce wellbore safety risks and failure rates. The case studies presented in this paper highlight the practical value and potential of pulsed 

    Experimental Study on Tungsten Extraction from Tailings

    YANG Zhihong, LI Yongjia, LI Yingjuan
    2025, 41(1):  16.  doi:10. 3969/j. issn. 1009 - 0479. 2025. 01. 003
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    The WO3 grade in the tailings of a selected gold mine is 0. 34% , with the mineral primarily existing in the form of scheelite. The effectiveness of conventional beneficiation methods for this mineral was investigated. A tungsten concentrate with a WO3 grade of 1. 37% and a recovery rate of 51. 84% was obtained using the leaching method. Flotation resulted in a tungsten concentrate with a WO3 grade of 1. 75% and a recovery rate of 66. 26%. Gravity separation yielded a tungsten concentrate with a WO3 grade of 1. 33% and a recovery rate of 46. 07% . The results showed that leaching, flotation, and gravity separation methods had similar efficacy in separating the mineral components. Considering factors such as cost-effectiveness and environmental impact, gravity separation was ultimately selected for the preliminary enrichment of tungsten resources in the mineral. Through closed-circuit experiments encompassing the en- tire gravity separation process, a tungsten concentrate with a WO3 grade of 1. 36% and a recovery rate of 46. 40% was achieved, resulting in approximately four times the initial grade. This demonstrates a prom- ising approach for the effective utilization of similar resources.

    Multi-objective Optimization of Stope Structural Parameters Based on Combined Weighting and Membership Functions

    DENG Liang
    2025, 41(1):  22.  doi:10. 3969/j. issn. 1009 - 0479. 2025. 01. 004
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     In order to optimize the selection of mining stope structural parameters, indicators were select- ed from the perspectives of safety, technology, economy, and environmental protection to construct an optimization indicator system for mining stope structural parameters. The fuzzy membership approach was used to comprehensively optimize the structural parameters of mining stopes, considering multiple objec- tives such as safety, technology, economy, and environmental protection. To accurately calculate the weights of each indicator in the optimization process, the subjective weights of the selected indicators were calculated using the GI theory based on expert subjective experience. Additionally, the entropy weight method was employed to calculate the objective weights of the optimization indicators based on the infor- mation derived from the mining stope structural parameters. The combination of subjective and objective weights was then applied to assign comprehensive weights to the optimization indicators. The multiple at- tributes embedded in the indicator values were processed using membership functions. Ultimately, the optimal combination of mining stope structural parameters, taking into account safety, technology, and e- conomy, was selected. The results demonstrate that the combination weighting method, along with fuzzy optimization, can achieve a multi-objective scientific optimization of mining stope structural parameters, selecting the combination with the best comprehensive benefits for mining enterprises.
    Study on the Parameters of an Underground Lead-ZincMine Based on Blasting Funnel Test
    HE Lihua', SUN Jinhui? , CHENG Ming' , ZHAO Yanwei?
    2025, 41(1):  30.  doi:10.3969/j.issn.1009-0479.2025.01.005
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     Currently, an underground lead-zinc mine in Yunnan is facing issues such as poor blastingelfects and high block rates , which significantly inerease economic costs. As mining operations continue,the ore and rock characteristics in dilferent areas become increasingly complex and variable, making asingle set of blasting parameters unsuitable for the mining operations. To optimize the blasting parametersand improve the blasting efect in on-site production, a series of uncoupled charge crater tests were con-ducted on the side of the 402 mining area of the mine, based on the Livingston blasting crater theory. Theoptimal values for the crater's hole depth, radius, critical depth, volume, hole spacing, and resistanceline were found to be 0.55 m, 0. 5 m, 1. 1 m, 0. 129 m’, 1.1 m, and 0. 85 m, respectively. After blas-ting, the fragments were collected, sereened, and classified by particle size. The R-R function was usedto predict the distribution of different particle sizes, and it was found that the R-R function could effec.tively predict the blasting fragmentation distribution. "The obtained parameters can provide theoretical support for optimizing blasting parameters in future field operations.
    Spatial Distribution and Land Use Analysis of DebrisFlow Accumulation Fans in the Xiaojiang Basin
    ZHANG Xiaolun'. , TlAN Shujing’, Yl Junhua', WAN Baofeng'WEl Xiaochen', CHEN Hongwei' , ZHU Qicheng'
    2025, 41(1):  39.  doi:10.3969/j.issn.1009-0479.2025.01.006
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    The human-environment confliet is prominent in the high mountain and valley areas of the central Yunnan Plateau, where debris flow accumulation fans serve as important sites for the production andlivelihoods of the local residents. Through the interpretation of Gaofen-2 remote sensing imagery and fieldinvestigations , this study identified the spatial distribution characteristies of debris flow accumulation fansin the Xiaojiang Basin , and analyzed the development scale of these fans as well as the status of land development and utilization. The results indicate that there are 245 debris flow accumulation fans in the Xi.aojiang Basin, covering a total area of 84. 6 km'. These fans are primarily distributed in the middle andlower reaches of the Xiaoiang Basin, at elevations between 500 and 2 000 meters, and along the gentlysloping river valleys with slopes of less than 10°. The average area of the debris flow accumulation fans is0. 35 km’ , with medium and large-sized fans being the most common. Among these fans, 176 have beenextensively developed and utilized for residential and agricultural purposes, covering an area of77. 89 km’, or 92. 196 of the total area. Approximately half of the debris flow accumulation fans host set-tements, and nearly half have roads or bridges passing through them. This study provides valuable guid-anee and reference for land development, remediation, and optimal utilization of debris flow accumulationfans in the Xiaojiang Basin.
    Study on 3D Model Reconstruction Methods Based on Historical Aerial Imager.
    CHEN Zhan', WEl Baofeng’, CHEN Guoping’ , ZHANG Xiaolun'CHENG Gong''.OUYANG Hui', Ll Jian'
    2025, 41(1):  47.  doi:10.3969/j.issn.1009-0479.2025.01.007
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     Historical aerial imagery can objectively and accurately record the evolution and changes ollandforms , topography, environmental conditions, natural landseapes, and cultural landseapes during dif.ferent historical periods. It plays a significant role in research and transformation related to urban resoureeand environmental issues , providing scientifie decision-making support for social progress and sustainabledevelopment. This paper focuses on 6 000 historical aerial images from Kunming City in 1989. Through aseries of steps, including, photographic digitization, batch cropping of images, three-dimensional modelconstruetion , automatic matching, and quality inspection , a comprehensive and seientific workflow for re-constructing digital three-dimensional models is explored. The resulting outputs are intuitive and measura-ble three-dimensional models. Experimental results demonstrate that the outcomes obtained using thismethod meet application requirements. This approach not only revives historical aerial images . extendingtheir lifespan, but also provides fundamental historical surveying and mapping data for research on urbanconstruetion changes, land use changes, and national situation monitoring.
    Research on Medical mage Fusion Based on mprovedPCNN and Nuclear Norm Energy
    YANG Qing
    2025, 41(1):  53.  doi:10.3969/j.issn.1009-0479.2025.01.008
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    The existing medical image fusion methods suller from issues such as energy loss and unclealtextures. To address these problems , this paper proposes a method that separately fuses the high and low.frequeney coefficients in the NSS'T domain using an improved pulse coupled neural network ( PCNN) andnuclear energy. First, multimodal medical images undergo NSST decomposition to obtain the high andlow-frequeney coelficients of the source images. Then, the improved PCNN is employed to fuse the de-composed high-frequeney coelficients, while nuclear energy is used to fuse the low-frequeney coelficients.In the improved PCNN , a Gaussian filter is used to combine surrounding neurons, and the link strength isadaptively adjusted, greatly reducing the need for manually setting parameters. Finally , the fused imagesis obtained through NSST inverse transformation. Six sets of images are randomly selected for fusion andcomparative experiments. The results show that this method not only achieves superior visual performancebut also performs excellently across seven objective evaluation metrics.
    AI Drawing Helps the Development of 3D Design: TakingStable Diffusion as an Example
    LlU Songlin, YANG Leiying.
    2025, 41(1):  61.  doi:10.3969/j.issn.1009-0479.2025.01.009
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     Al drawing tools are soltware applications that leverage artificial intelligence technology to as-sist or fully automate the generation of artwork through local deployment of training. Commonly used Aldrawing tools inelude DALL-E 2, Midjourney, and Stable Diffusion, among which Stable Diffusion is themost widely adopted. By continuously updating the image's noise distribution, it generates high-qualityimages on local computers. Using actual design projects as examples , this article demonstrates how StableDillusion aids designers in rapidly generating sketches and renderings in 3D design, olfering a variety oldesign styles and creative approaches. This not only enhances design elficieney and creativity but alsohighlights the significant potential of Al drawing tools in fields such as environmental art design and archi.tecture.
    The Application of Association Rule Mining in PoliticalTheory Learning for Teachers and Students
    OUYANG Zhiping , RONG Hui', SONG Hao
    2025, 41(1):  70.  doi:10.3969/j.issn.1009-0479.2025.01.010
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     Currently, there are several issues in teacher and student political theory learning, such as in-sulficient relevance and lack of refined management. This paper explores the application of associationrule mining technology in teacher and student politieal theory learning. By analyzing and extracting thecharacteristies of teacher and student learning objects, the paper mines the relationships between thesefeatures using association rule algorihms. Based on the results , differentiated and targeted learning strat.egies are implemented. Firstly, a problem model is established. Secondly, the Apriori algorihm is applied to mine association rules from the dataset. Additionally, an optimization algorithm using pruningtechniques is proposed to accelerate rule generation and improve algorithm elficiency. Finally, extensiveexperiments are conducted to verily the effectiveness of the problem model, algorithms, and pruning tech-niques.
    Study on the Impact of Aggregate Gradation on thePerformance of Pervious Concrete
    HAN Changju
    2025, 41(1):  76.  doi:10.3969/j.issn.1009-0479.2025.01.011
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    In order to study the elleet of aggregate particle size on the performance of pervious conerete ,pervious concrete was prepared using three different aggregate sizes, both in single-sized and gradedforms. The compressive strength, porosity, and permeability of the conerete were tested. The resultsshow that for pervious conerete prepared with single-sized aggregates, the compressive strength is highestwhen the aggregate size is between 4. 75 and 9. 5 mm. When two sizes of aggregates are mixed, the com-pressive strength of the specimen inereases slowly with the proportion of small-sized aggregate added, andinereases first and then decreases with the proportion of larger-sized aggregates. The elfect of different aggregate gradations on the permeability of pervious conerete is opposite to its ellect on compressivestrength. For pervious concrete made with single-sized aggregates, permeability is best when the aggregate size is between 9. 5 and 16 mm. For pervious conerete made with two sizes of aggregates, permeabil.ity decreases as the proportion of small-sized aggregate increases , while it increases as the proportion ollarge-sized aggregate increases. The permeability of pervious conerete made with aggregates of three dif.ferent particle sizes is the worst.
    Study on Key Elements of Smart Construction Site SafetyManagement Based on DEMATEL
    ZHA Xia, WU Guangli, Guo Yufeng, LONG Mei
    2025, 41(1):  82.  doi:10.3969/j.issn.1009-0479.2025.01.012
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     With the rapid advancement of technology in the construction industry , smart construetion siteshave become a key trend. This paper uses the Decision Making Trial and Evaluation Laboratory ( DEMA-TEL) method to analyze the eritical elements of safety management on smart construction sites, aiming toimprove the elliciency and elfectiveness of safety management. Through a combination of case studies.expert interviews, and literature review, this study develops a comprehensive system of factors covering e-quipment, process management, personnel, and the site environment. The DEMATEL. method is thenapplied to highlight the importanee and interrelationships of these elements. The findings indicate thattechnological innovation , personnel training, supervisory mechanisms, and environmental adaptability areessential strategies for improving the ellectiveness of salety management on smart consruction sites. Theimplementation of these strategies significantly enhanees the quality of technology application and person-nel training, optimizes supervisory mechanisms, and strengthens environmental adaptability. The resultsof this study provide valuable theoretical support and praetical guidance for the construction industry inimplementing safety management strategies for smart construction sites, helping to drive safety manage-ment toward greater effcieney and systematization.
    Research on the Digitization of Magnetic Rotor Flowmeter
    YANG Yiman, XU Lian’ge
    2025, 41(1):  90.  doi:10.3969/j.issn.1009-0479.2025.01.013
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    in order to improve the measurement accuracy, reduce costs , and achieve intelligent funetionality for the magnetic rotor flowmeter, a digitally intelligent upgraded magnetie rotor flowmeter is designedwith the STC8H as the control core for hardware and soltware design. The magnetie switch sensor detectsthe float height and converts it into an electrical signal. The relationship between the sensor output and thelow rate is determined using the piecewise linear correction method, enabling the calculalion of flow rateand cumulative flow. By implementing data acquisition , remote communication with the host computer, andcireuits for display and control, the intelligenee and digitalization of the magnetic rotor flowmeter are a-chieved. A prototype is developed, and a test platform is set up. Measurement results demonstrate that theaccuracy of the measurements can be improved
    Fault Diagnosis of Planetary Gearbox Based on CAGNet Network
    HAO Zhongbo', ZOU Mengting’, Ll Xiaonan'
    2025, 41(1):  95.  doi:10.3969/j.issn.1009-0479.2025.01.014
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    Aiming to address the challenge of insufficient fault data for planetary gearboxes in practicalengineering, which results in low diagnostic aeeuracy of traditional machine learning algorithms, a fauldiagnosis method based on the CAGNet (Conv Attention Gear Net) network is proposed. Firstly, vibration simulation signals under different fault conditions are generated using an established phenomenologieal model. By segmenting these simulation signals, a network training dataset is constructed to overcomethe issue of limited training samples for planetary gearboxes. Secondly, to enhance network training effi.cieney and convergence speed , two convolutional layers are utilized for elfective feature extraction and in.lormation transmission , aecelerating the training process. Additionally, the convolutional attention mech.anism is embedded in the Residual Network to capture deep features of the signal. By selecting these fea.tures, the CAGNet network model is developed, which improves the model's diagnostic accuracy. Final-ly, based on both simulation and experimental data, the proposed model is compared with the ResidualNetwork ( ResNet), Deep Residual Shrinkage Network ( DRSN), and MSACNN network. The diagnosticaccuracy of the proposed model is improved by 1.5% , 2.5% , and 4. 5%6 , respectively.
    Research Progress on Application and Blending Modification ofPolylactic Acid in Food Packaging
    Jl Haobo, HAO Yanhong"
    2025, 41(1):  104.  doi:10.3969/j.issn.1009-0479.2025.01.015
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     Polylaetic acid ( PLA) is a thermoplastie that can be fully degraded into carbon dioxide andwater. Industrially , it is polymerized from lactic acid through multiple reaction steps. PLA possesses bio-eompatibility and environmental friendliness and is employed in the biomedical and food packaging domains. Nevertheless, it has drawbacks such as inferior mechanical properties, poor thermal stability.slow crystallization rate, and high cost. Based on this, the modification studies aimed at amelioratingthese disadvantages are summarized. The modification approaches are mainly accomplished through phys.ical blending, one being blending in the molten state under heating, and the other being blending in solu-tion with the assistanee of mechanical stirring. Judging from the modifieation outcomes, most modifications can fulfill the objective of improving the performance disadvantages of PLA. However, for the solvents involved in solution blending, the majority are toxic solvents, which contradicts the non-toxic andbiocompatible characteristics of PLA and requires attention in praetical research.
    Comparative Evaluation and Analysis of Three Air QualityIndices: Taking Wenshan City as an Example
    QlU Cheng
    2025, 41(1):  110.  doi:10.3969/j.issn.1009-0479.2025.01.016
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     The three environmental air quality index evaluation methods, namely the mean value index,weighted index, and N. L. Nemerow index, each have their own advantages and disadvantages. Conduc-ing a comparative evaluation of these three air quality indices can provide valuable insights for improvingenvironmental air quality assessments. By applying the mean value index, weighted index, and N. .Nemerow index to assess the urban air quality of Wenshan City, the results show that, whether comparingmean dilerences or conducting two independent sample tests, the evaluation results ( index values) of themean value index and weighted index are not significantly different. However, the evaluation results ( in-dex values) of the N. L.. Nemerow index differ significantly from both the mean value index and theweighted index (P <0. 05 ). From May to 0etober 2023, 0, was the primary pollutant of urban air pollu-lion in Wenshan City. In the remaining months of 2023, PM,s was the primary pollutant. Over thecourse of the entire year, PM,s emerged as the primary pollutant in Wenshan City's urban air, while 0and PM,, were also significant pollutants. In 2023 , the highest values of the urban air quality index inWenshan City were observed in April, while the lowest values were recorded in july. The urban air quality in Wenshan City worsened gradually from January to April, improved from April to July, and then de-teriorated again from July to December.
    Research on the Construction of Information Technology Textbooks forVocational Colleges Under the New Curriculum Standards
    Zl Yongsuo
    2025, 41(1):  116.  doi:10.3969/j.issn.1009-0479.2025.01.017
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    The 2021 version of The Information Technology Curriculum Standards for Higher VocationalEducation ( Vocational Colleges ) issued by the Ministry of Education provides a detailed plan for the development of information technology courses in vocational colleges, addressing six key aspects : course na-ture and tasks, subject core competencies and objectives, course structure, course content, academicquality , and course implementation. The construction of information technology textbooks is a fundamen-tal guarantee for the elfective implementation of these standards. Based on the specific needs of vocationalcollege students and the requirements of the new curriculum standards. developing textbooks tailored tostudents’ learning needs is crucial to achieving teaching obiectives effectively. However, current issues inthe development of information technology textbooks include low entry barriers, strong utilitarian focusnarrow identity attributes, weak ideological and political guidance, insufficient career development con-tent, lack of emphasis on computational thinking, deviation from curriculum standards, misalignmentwith target audiences, and a rigid approach to practical teaching. Therefore, it is recommended to establish a clear entry mechanism for textbook development, create a diversified group of authors, and ensurethat the needs of vocational college students are at the center. Textbooks should be written in line withcurriculum standards, incorporating rich ideological and political guidance, broad computational think-ing, comprehensive career development content, and diverse practical teaching models. This approachwill promote the achievement of curriculum goals for vocational college students, improve their scientificand technological literacy and computational thinking abilities , foster professional thinking habits in information technology, and enhance their vocational skills and information literacy. Ultimately, this will helpstudents adapt to the changing industrial landscape and the increasing need for information technology inenterprises, thereby contributing to the development of a skilled, technology-driven society.
    Research on the Practice of Popular Science Education in Higher VocationalColleges: Taking Kunming Metallurgy College as an Example
    LONG Mei°, ZHAO Xia", YANG Tao", CHEN Liping", GuO Yufeng?
    2025, 41(1):  123.  doi:10.3969/j.issn.1009-0479.2025.01.018
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    To implement General Secretary Xi Jinping's important speech on the “Two Wings" theory andeffectively fulfll the social service functions of higher education institutions, Kunming Metallurgical Col.lege has used popular science education as an entry point. The college leverages educational resourcesfrom the surveying and mapping engineering technology professional group in its “ Double High” construc-tion, focusing on initiatives such as building a popular science volunteer team, establishing science edu-cation bases , developing electronic resources for popular science, promoting school-enterprise collabora.tive science outreach, and fostering open and shared platforms. The college has carried out a series ofpractical activities in popular science education, and this paper discusses the practical processes andmethods involved. lt summarizes the experiences gained and, based on actual circumstances, identifieschallenges such as insufficient interaction between resource and platform development, and inadequateschool-enterprise system linkage. The paper proposes suggestions such as creating distinctive science out.reach brands, strengthening multi-party collaboration, and ensuring continuous and coherent supply olscience resources to better promote the development of popular science education in higher vocational col.leges.