旋转式采煤工艺在煤矿生产中的应用

采煤工艺作为煤矿正常生产的核心,直接关系到综采作业的效率、煤炭回采率和综采作业的安全性,随着对综采作业要求的不断提高,旋转式采煤工艺在煤矿井下的应用范围也不断扩大。以黄家沟煤业1205综采作业面为分析对象,对旋转式采煤工艺在井下的应用情况进行了研究,为优化综采方法、提升综采作业效率和煤炭回采率奠定基础。     

高大软岩边坡下开采程序研究

结合胜利煤田发生大型滑坡的露天矿地质赋存条件，以高大软岩边坡条件下松散物料压覆的煤炭资源安全高效回收为目标，提出采用“横采内排-尾随压脚”的开采程序方案将工作线从直线型变为“Π”字型。从地表水与地下水防治、边坡安全监测等方面提出了保证工程顺利实施的安全保障措施。计算分析了采用“横采内排-尾随压脚”开采程序方案的可观资源回收量及减少运距和提升高度带来的经济效益，同时对矿山实现可持续发展和安全开采的价值进行了预测。     

钙化-酸浸提钒沉钒母液中锰的回收

对钙化?酸浸提钒沉钒母液中锰资源的回收，一方面可以提升提钒工艺的经济效益，另一方面可避免母液循环时锰浓度不断累积而影响氧化钒产品质量，从而有助于实现母液闭路循环而提升全流程的环境效益。本工作提出了采用草酸沉淀法高效回收沉钒母液中的Mn2+，考察溶液体系pH值、草酸加量系数、反应温度和时间对锰回收率及沉淀产物物相组成的影响，以及草酸沉淀分离锰后母液的循环次数对钒浸出过程的影响。结果表明，草酸沉淀法可高效分离沉钒母液中的Mn2+，在溶液体系pH=4.0、草酸加量系数为1.5、反应温度为50℃、反应时间为60 min的条件下，锰回收率达94.33%，所得产物为纯度大于98%的水合草酸锰，为片状晶体，并呈花簇状生长。将脱锰后的沉钒母液循环至酸浸段，对钒浸出率及浸出液中锰的浓度没有明显影响，表明该方法有助于实现钙化?酸浸提钒中废水的闭路循环。     

Designing Champion Nanostructures of Tungsten Dichalcogenides for Electrocatalytic Hydrogen Evolution

Fine-tuning strain and vacancies in 2H-phase transition-metal dichalcogenides, although extremely challenging, is crucial for activating the inert basal plane for boosting the hydrogen evolution reaction (HER). Here, atomically curved 2H-WS₂ nanosheets with precisely tunable strain and sulfur vacancies (S-vacancies) along with rich edge sites are synthesized via a one-step approach by harnessing geometric constraints. The approach is based on the confined epitaxy growth of WS₂ in ordered mesoporous graphene derived from nanocrystal superlattices. The spherical curvature imposed by the graphitic mesopores enables the generation of uniform strain and S-vacancies in the as-grown WS₂ nanosheets, and simultaneous manipulation of these two key parameters can be realized by simply adjusting the pore size. In addition, the formation of unique mesoporous WS₂@graphene van der Waals heterostructures ensures the ready access of active sites. Fine-tuning the WS₂ layer number, strain, and S-vacancies enables arguably the best-performing HER 2H-WS₂ electrocatalysts ever reported. Density functional theory calculations indicate that compared with strain, S-vacancies play a more critical role in enhancing the HER activity.     

Application of dielectric barrier discharge (DBD) plasma packed with glass and ceramic pellets for SO2 removal at ambient temperature: optimization and modeling using response surface methodology

Air pollution is a major health problem in developing countries and has adverse effects on human health and the environment. Non-thermal plasma is an effective air pollution treatment technology. In this research, the performance of a dielectric barrier discharge (DBD) plasma reactor packed with glass and ceramic pellets was evaluated in the removal of SO₂ as a major air pollutant from air in ambient temperature. The response surface methodology was used to evaluate the effect of three key parameters (concentration of gas, gas flow rate, and voltage) as well as their simultaneous effects and interactions on the SO₂ removal process. Reduced cubic models were derived to predict the SO₂ removal efficiency (RE) and energy yield (EY). Analysis of variance results showed that the packed-bed reactors (PBRs) studied were more energy efficient and had a high SO₂ RE which was at least four times more than that of the non-packed reactor. Moreover, the results showed that the performance of ceramic pellets was better than that of glass pellets in PBRs. This may be due to the porous surface of ceramic pellets which allows the formation of microdischarges in the fine cavities of a porous surface when placed in a plasma discharge zone. The maximum SO₂ RE and EY were obtained at 94% and 0.81 g kWh⁻¹, respectively under the optimal conditions of a concentration of gas of 750 ppm, a gas flow rate of 2 l min⁻¹, and a voltage of 18 kV, which were achieved by the DBD plasma packed with ceramic pellets. Finally, the results of the model's predictions and the experiments showed good agreement.     

基于双离合变速器电控单元的Volcano CAN开发

Volcano 是集汽车电子网络设计、实现和测试于一体的完整工具链。它包括整车网络规划及优化设计工具VNA,网络节点(TCU等)实现工具VTP以及网络测试工具Tellus。本文着重介绍了基于TCU的VTP。     

国家级核应急医学救援分队能力评估指标体系的建立与应用

为进一步摸清国家核应急医学救援分队能力建设现状,国家核应急响应技术支持中心建立了评估指标体系、评分标准,对依托苏州大学附属第二医院(核工业总医院)设立的国家核应急医学救援分队开展能力评估。评估重点包括政策法规、组织机构、预案方案、指挥控制、应急设施与装备、应急响应行动和培训演练等7项一级指标。通过评估,摸清了现状,查找了问题,同时对救援方案、物资装备配备及管理、培训演练等国家核应急医学救援分队能力建设以及核应急能力评估等工作提出改进建议。     

面部运动单元检测研究综述

面部运动单元检测旨在让计算机从给定的人脸图像或视频中自动检测需要关注的运动单元目标。经过二十多年的研究，尤其是近年来越来越多的面部运动单元数据库的建立和深度学习的兴起，面部运动单元检测技术发展迅速。首先，阐述了面部运动单元的基本概念，介绍了已有的常用面部运动单元检测数据库，概括了包括预处理、特征提取、分类器学习等步骤在内的传统检测方法；然后针对区域学习、面部运动单元关联学习、弱监督学习等几个关键研究方向进行了系统性的回顾梳理与分析；最后讨论了目前面部运动单元检测研究存在的不足以及未来潜在的发展方向。     

基于GFU和分层LSTM的组群行为识别研究方法

提出一种以"关键人物"为核心，使用门控融合单元（GFU，Gated Fusion Unit）进行特征融合的组群行为识别框架，旨在解决两个问题：①组群行为信息冗余，重点关注关键人物行为特征，忽略无关人员对组群行为的影响；②组群内部交互行为复杂，使用GFU有效融合以关键人物为核心的交互特征，再通过LSTM时序建模成为表征能力更强的组群特征.最终，通过softmax分类器进行组群行为类别分类.该算法在排球数据集上取得了86.7%的平均识别率.