首先在底盘模块方面，五菱工业构建了乘用车电驱动系统与微、轻、中型车电动桥四大产品平台，具备偏轴、同轴、完全同轴多种减速器结构类型的自 主研发能力。此次车展重点展示的T型电驱桥、高度集成电控系统及新一代电驱桥产品三大核心技术，彰显其在该领域的全产业链布局与硬核实力。其中， 第二代同轴式电驱桥历经5年精心研发而来。作为代表未来整体式电动桥发展方向的产品，其相较分体式电驱桥，实现重量减重 10% 以上、体积缩小 30%、 噪音降低 5 分贝，显著提升乘坐舒适性，五菱工业也成为国内首家实现同轴式电驱桥商业化落地的企业，引领行业技术潮流；专为新能源轻型商用车定制开 发的T 型电驱桥，采用行星排+螺旋伞齿轮两级减速设计，兼具动力、空间、轻量化优势，有效破解轻卡电动化转型中的续航与载重痛点；四合一电控系统 则以高集成度与严苛安全标准重新定义商用车电控技术，支持OTA升级与智能能量管理，赋能智能驾驶。 in A WULING INDUS 声污虫 18,2 un 0 r � 6 13 4 r 4 e = t Gol 服务 e ● A ● s 汽车 PD SP a w 6 ▲ D 99 C No 0 ( f 0 0 1699 I ...

Summary of Key Points from the Conference Call Industry Overview - The mechanical sector, particularly the robotics segment, has shown significant growth since the Spring Festival, despite recent market adjustments. The overall outlook remains optimistic due to improving fundamentals, reasonable valuations, and strong annual and quarterly reports from industry companies [2][42]. Key Companies and Their Performance Excavator Market - The domestic excavator market is expected to see a year-on-year sales increase of over 70% in February, with a combined growth of approximately 37% for January and February. This growth is driven by rural demand, high-standard farmland construction, and small infrastructure projects [3][2]. - SANY Heavy Industry is projected to achieve a domestic growth rate of 10%-20% and maintain similar export growth. The company is launching a new series of excavators in Europe and the U.S. and is enhancing its competitiveness in overseas mining through operations in Indonesia [5][2]. - XCMG Group leads in the mining equipment sector, having signed overseas orders exceeding 3 billion RMB in the second half of last year, which will contribute to revenue recognition this year [6][2]. - LiuGong has improved its domestic excavator market share from over 8% to over 14% post-restructuring, with steady profitability improvements. The company is focusing on cost reduction and efficiency enhancements [7][2]. - Hengli Hydraulic is benefiting from land rights issues and collaborations with Tesla, with expectations of becoming a key supplier for humanoid robots [13][2]. - China Power is excelling in the marine engine sector, with expectations of significant profit growth by 2025 due to acquisitions and a focus on new energy servo motors [17][2][18]. Injection Molding Machine Industry - The injection molding machine sector performed better than expected in February, with leading companies reporting over 50% year-on-year order growth in a single month and over 20% growth overall for January and February. The growth is supported by large-scale equipment upgrades and domestic demand [40][2]. Additional Insights - The agricultural machinery sector is expected to grow due to increased crop yields and land consolidation, with significant investments in high-end machinery driven by government policies [22][23]. - Zhejiang Dingli has benefited from reduced tariffs and is expected to see significant sales growth in the U.S. market, with a strong performance anticipated in 2025 [25][2]. - The shipbuilding sector remains a focus, with companies like China Power and Jiangsu Hantong expected to perform well due to ongoing demand for new vessels and the aging global shipping fleet [16][20]. Recommendations - Key companies to watch include SANY Heavy Industry, XCMG Group, LiuGong, Hengli Hydraulic, and China Power in the mechanical sector. In the lithium battery equipment sector, companies like Xian Dai Intelligent and Haopeng Technology are recommended. The export chain includes companies like Haomai Technology and Zhejiang Dingli, while the shipbuilding sector highlights China Power and Jiangsu Hantong [42][2].

2025年第1期 第56卷 总 第615 期 智能化 基于机器视觉的车辆外廓尺寸与位置测量方法研究* 王欣凯 1 ，张 鹏 2 ，胡晓旭 1 ，郑明刚 1 1.山东建筑大学机电工程学院；2.山东时风（集团）有限责任公司 摘 要|为提高现有的运输车车厢内机械手自动取样的工作安全性和取样精度，需要提高车厢尺寸测量精度。 针对传统的运输车车厢尺寸测量技术存在的局限性和精度不高的问题，提出采用激光雷达检测运输车车厢尺寸 的方法。通过外形扫描、点云处理、点云聚类对运输车点云做出车头、车厢分割，对分割后得到的特定点云进 行实时计算输出所需尺寸参数，并在实车上验证了系统的精度和可靠度。研究结果表明利用激光雷达可以有效 改进对运输车车厢尺寸的测量精度，对机械手进行车厢内货物自动取样等工作有着积极意义。 关键词：运输车；激光雷达；车辆外廓尺寸测量 基于Vision Master与S7 1200的无人挖掘机识别与定位控制系统设计与实现* 孙小肖，李钢，刘金鑫，覃卓卓，吴嘉鹏 南京工程学院机械工程学院 摘 要｜为实现挖掘机对目标物体的识别、定位以及挖掘作业，设计挖掘机目标识别与定位控制系统，并对挖 掘机进行运动学建模，在Visio ...