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2025年中国铁路机车产量为1105辆 累计增长16.7%
Chan Ye Xin Xi Wang· 2026-01-31 02:31
2020-2025年中国铁路机车产量统计图 上市企业:中国中车(601766),中国中铁(601390),中国铁建(601186),晋西车轴(600495),太原重 工(600169),时代新材(600458),神州高铁(000008),康尼机电(603111),辉煌科技(002296),晋 亿实业(601002) 相关报告:智研咨询发布的《2026-2032年中国铁路机车行业市场现状分析及未来前景规划报告》 根据国家统计局数据显示:2025年12月中国铁路机车产量为193辆,同比增长1.6%;2025年1-12月中国 铁路机车累计产量为1105辆,累计增长16.7%。 数据来源:国家统计局,智研咨询整理 知前沿,问智研。智研咨询是中国一流产业咨询机构,十数年持续深耕产业研究领域,提供深度产业研 究报告、商业计划书、可行性研究报告及定制服务等一站式产业咨询服务。专业的角度、品质化的服 务、敏锐的市场洞察力,专注于提供完善的产业解决方案,为您的投资决策赋能。 ...
太原重工股份有限公司关于收购太重集团向明智能装备股份有限公司67%股权暨关联交易完成的公告
证券代码:600169 证券简称:ST太重 公告编号:2026-003 太原重工股份有限公司 关于收购太重集团向明智能装备股份有限公司67%股权 暨关联交易完成的公告 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述或者重大遗漏,并对其内容 的真实性、准确性和完整性承担个别及连带责任。 2025年6月12日,太原重工股份有限公司(以下简称"太原重工"或"公司")召开第十届董事会2025年第 一次临时会议,审议通过《关于收购太重集团向明智能装备股份有限公司67%股权暨关联交易的议 案》。公司控股股东太原重型机械集团有限公司(以下简称"太重集团")拟以非公开协议方式将所持太 重集团向明智能装备股份有限公司(以下简称"太重向明")51%的股权转让给公司,同时公司收购山西 艾克赛勒科技有限公司和自然人范巷民先生分别持有太重向明共计16%的股权,公司合计收购太重向明 67%股权,交易价格共计299,515,795元。具体内容详见公司于2025年6月14日披露的《太原重工关于收 购太重集团向明智能装备股份有限公司67%股权暨关联交易的公告》(公告编号:2025-031)。同日, 公司与太重集团、山西艾克 ...
ST太重(600169) - 太原重工关于收购太重集团向明智能装备股份有限公司67%股权暨关联交易完成的公告
2026-01-29 11:30
根据股份转让协议约定,协议生效后 10 个工作日内,公司支付股份转让价 款的 51%,即向太重集团支付人民币 116,274,714 元,向宁波艾克赛勒公司支付 人民币 29,638,653 元,向范巷民支付人民币 6,839,689 元;股份交割日后一个 月内,公司支付股份转让价款的 49%,即向太重集团支付人民币 111,714,921 元, 向宁波艾克赛勒公司支付人民币 28,476,352 元,向范巷民支付人民币 6,571,466 元。公司已按照股份转让协议约定向太重集团支付人民币 116,274,714 元,向宁 波艾克赛勒公司支付人民币 29,638,653 元,向范巷民支付人民币 6,839,689 元。 证券代码:600169 证券简称:ST 太重 公告编号:2026-003 太原重工股份有限公司 关于收购太重集团向明智能装备股份有限公司 67%股权 暨关联交易完成的公告 本公司董事会及全体董事保证本公告内容不存在任何虚假记载、误导性陈述 或者重大遗漏,并对其内容的真实性、准确性和完整性承担个别及连带责任。 一、关联交易概述 2025 年 6 月 12 日,太原重工股份有限公司(以下简称"太 ...
2025年山西省能源生产情况:山西省发电量4405.8亿千瓦时,同比下滑0.8%
Chan Ye Xin Xi Wang· 2026-01-24 02:47
2018-2025年山西省各品种发电量累计产量统计图 上市企业:晋控电力(000767)、蓝焰控股(000968)、山西焦煤(000983)、兰花科创(600123)、 永泰能源(600157)、太原重工(600169)、华阳股份(600348)、山煤国际(600546)、国新能源 (600617)、通宝能源(600780)、晋控煤业(601001)、潞安环能(601699) 相关报告:智研咨询发布的《2026-2032年中国能源行业市场研究分析及投资前景评估报告》 2025年12月,山西省发电422.6亿千瓦时,同比下滑3%。2025年,山西省发电4405.8亿千瓦时,同比下 滑0.8%。分品种看,2025年,山西省火力发电量3545.8亿千瓦时,占总发电量的80.5%,同比下滑 3.6%;山西省水力发电量45.5亿千瓦时,占总发电量的1%,同比增长1.4%;山西省风力发电量555.8亿 千瓦时,占总发电量的12.6%,同比增长13.8%;山西省太阳能发电量258.75亿千瓦时占总发电量的 5.9%,同比增长13.2%。 报告中的产量数据统计口径均为规模以上工业,其统计范围为年主营业务收入2000万元及以上 ...
全球首台高空作业空箱绑扎机器人投入使用
Ke Ji Ri Bao· 2026-01-19 01:01
Core Viewpoint - The successful development and deployment of the world's first high-altitude container bundling robot by Taiyuan Heavy Machinery Group marks a significant advancement in the integration of artificial intelligence with high-altitude work platforms, ushering in a new era of intelligent port operations [1][2]. Group 1: Product Development and Features - The high-altitude container bundling robot has passed acceptance testing at Ningbo Zhoushan Port and is now in production, showcasing the company's ability to innovate in high-end equipment technology [1]. - The robot integrates a high-altitude work platform, robotic arm system, and visual recognition capabilities, enabling a transition from manual to intelligent operations [1]. - The research team overcame several key technical challenges, enhancing the machine's environmental tolerance and addressing precision issues related to arm flexibility through real-time visual feedback and adaptive force control systems [1]. Group 2: Operational Efficiency and Safety - The primary goals of the robot's development were to ensure safety, improve efficiency, and reduce costs, particularly during the typhoon season when traditional methods are time-consuming and hazardous [2]. - The robot has demonstrated over a 100% increase in operational efficiency, significantly reducing the time required for bundling from 6-8 hours to a much shorter duration [2]. - The device has proven effective during the typhoon season, maintaining high efficiency in adverse weather conditions and also serving dual purposes for port construction and maintenance [2]. Group 3: Future Directions and Impact - The deployment of the high-altitude bundling robot exemplifies Taiyuan Heavy Machinery Group's commitment to innovation-driven development and the enhancement of new productive forces [2]. - The company plans to continue advancing its transformation towards intelligent and green technologies, contributing to the high-quality development of China's manufacturing industry and the establishment of a modern industrial system [2].
山西太重攻克复杂煤层高效智能开采难题
Xin Lang Cai Jing· 2026-01-17 03:18
转自:山西日报 文 | 山西日报 杜鹃 近日,太重集团研发的"面向复杂煤层的高端智能采煤机关键技术及应用"项目,成功获得2024年度"山 西省科学技术奖"一等奖。此次太重摘得山西省科学技术类的最高荣誉,标志着其在复杂煤层开采装备 智能化领域的技术突破获得权威认可,为我国高端采矿装备迭代升级注入强劲动力。 赋予"敏锐感官",让设备更安全。"井下环境昏暗、粉尘大,采煤机要'看清'煤层、'避开'人员,必须要 有一套高精度感知系统。我们通过阵列式惯性传感组件和端头超宽带融合等多种技术,给采煤机装上 了'360度无死角'的眼睛和灵敏神经,实现了在昏暗井下的连续精准定位。同时,其激光雷达和红外图 像技术,更使煤岩特性识别的准确率稳定在90%以上。还有人员设备智能预警系统,为作业区域构筑了 一道数字化安全屏障。"项目负责人介绍道。 注入"智慧大脑",让设备更自主。太重构建了井下三维地质模型并实时更新,建立起融合煤层地质特 征、回采率等数据的智能截割规划系统,使采煤机能"感知"煤层变化,煤层回采率提高8%。此外,太 重研发团队还创新研发了牵引变频调速系统参数"一键配置"技术,实现了牵引速度与截割高度的自适应 调节,真正做到了 ...
太原重工申请纯电动汽车起重机智能监控系统专利,有效提高了行驶及作业安全
Jin Rong Jie· 2026-01-17 02:25
国家知识产权局信息显示,太原重工股份有限公司申请一项名为"纯电动汽车起重机智能监控系统"的专 利,公开号CN121317535A,申请日期为2025年11月。 声明:市场有风险,投资需谨慎。本文为AI基于第三方数据生成,仅供参考,不构成个人投资建议。 财经频道更多独家策划、专家专栏,免费查阅>> 专利摘要显示,本发明属于起重机技术领域,公开了一种纯电动汽车起重机智能监控系统,该系统包 括:动力装置、控制模块、全景影像装置、轮胎监测装置、显示器和智能远程终端,动力装置用于对纯 电动汽车起重机提供能源动力,控制模块与动力装置连接,全景影像装置与控制模块连接,用于对控制 模块提供辅助控制信息,轮胎监测装置与控制模块连接,用于监测轮胎使用状态,预测使用寿命,显示 器与全景影像装置和轮胎监测装置连接,智能远程终端与控制模块、全景影像装置和轮胎监测装置连 接,用于远程获取纯电动汽车起重机操作信息及现场画面。本发明有效提高了行驶及作业安全,可实时 监控司机工作状态及起重机工作环境并进行实时通讯,有效提高了协同工作效率。 天眼查资料显示,太原重工股份有限公司,成立于1998年,位于太原市,是一家以从事专用设备制造业 为主的企 ...
吴建华,拟任省管企业正职!
Xin Lang Cai Jing· 2026-01-16 13:38
Core Viewpoint - The announcement by the Shanxi Provincial Organization Department regarding Wu Jianhua's proposed appointment as the head of a provincial enterprise indicates a significant leadership change within Taiyuan Heavy Machinery Group Co., Ltd. [1][5] Group 1: Leadership and Management - Wu Jianhua, born in June 1976, is currently the Deputy General Manager of Taiyuan Heavy Machinery Group and has a dual background in party management and technological innovation [3][7] - He has been recognized as an "Outstanding Party Worker" in Shanxi Province in 2021 and has led the establishment of key innovation platforms, including a national key laboratory for intelligent mining equipment [3][8] - As of January 10, 2026, the position of General Manager at Taiyuan Heavy Machinery Group is vacant following the appointment of the former General Manager, Tao Jiajin, as the Party Secretary and Chairman [8] Group 2: Company Background - Taiyuan Heavy Machinery Group was established in 1950 and is recognized as the first heavy machinery factory designed and built independently in New China, classified as a national large-scale backbone enterprise [4][8] - The company founded the first listed company in the heavy machinery industry in 1998 and entered the top 500 manufacturing enterprises in China in 2005, achieving a revenue milestone of over 10 billion yuan in 2008 [4][8] Group 3: Research and Development - Wu Jianhua has driven an annual growth of 25% in the group's R&D investment, totaling 4 billion yuan, and has implemented innovative mechanisms such as "ranking and taking the lead" [3][8] - The remote control system for coke oven equipment, overseen by Wu, has achieved a breakthrough in industry intelligence, and the technology center received a national excellent rating with a score of 90.9 in 2022 [8]
国内首次!“智能”轴承为山西太重装备赋能
Xin Lang Cai Jing· 2026-01-15 00:53
如今,智能轴承彻底改变了这一局面。依托国家重点研发计划,太重联合东北大学、瓦轴集团等,将微 型传感器集成于轴承内部,赋予装备敏锐的"神经末梢",实现了对载荷、温度、振动等多维数据的7*24 小时持续采集。不仅如此,通过智能分析,系统还能绘制出整机结构的动态"受力图谱",实现了从局部 感知到整体洞察的关键跨越。 智能轴承三维模型爆炸图 下一步,这项研发成果将从实验室走向应用,在实践中接受检验。该系统能够基于实时数据实现预测性 维护,在故障发生前预警,有效避免非计划停机;同时,依据精准数据优化保养计划,延长设备使用寿 命,降低综合运维成本。 转自:山西省国资委 一个看似普通的轴承,竟能成为一台大型电铲的"智能手环",实时感知设备关键部位的运行状态。近 日,国内大型矿山装备智能化迎来关键突破,山西太重成功将智能轴承应用于大型电铲,并完成厂内模 拟测试,各项性能指标均优于设计标准,这在国内尚属首次,标志着我国矿山重型装备核心部件迈入可 感知、可预测的智能运维新阶段。 智能轴承载荷识别验证试验 "在矿山上,我们这些操作数层楼高电铲的师傅,心里总压着一块石头——最怕设备'说不干就不 干'。"一位操作者的感慨道出了行业长期 ...
2025年十大财务造假公司
Cai Jing Wang· 2026-01-14 09:37
Core Viewpoint - The article discusses the increasing scrutiny and enforcement actions by regulatory bodies in China against financial fraud in publicly listed companies, highlighting a significant rise in the number of cases and the decline in the amount of inflated revenue reported by these companies [1][2]. Regulatory Actions - Since July 2024, the China Securities Regulatory Commission (CSRC) has handled 159 financial fraud cases, resulting in 111 administrative penalties totaling 8.1 billion yuan [2]. - The regulatory framework has been strengthened to include criminal referrals and civil claims against third parties involved in financial fraud, ensuring a comprehensive accountability system [1][2]. Trends in Financial Fraud - In 2025, approximately 43 companies were penalized for inflating revenue, with a total inflated revenue of about 15 billion yuan, a significant decrease from over 600 billion yuan in 2024 [2][3]. - The number of companies involved in financial fraud is increasing, but the total amount of inflated revenue has decreased significantly, indicating a potential improvement in compliance [2][3]. Common Fraud Techniques - Common methods of financial fraud include fictitious business operations, premature revenue recognition, and transactions with related parties lacking commercial substance [3][4]. - Companies have also been found to underreport costs and expenses to inflate profits, with some instances of fraud lasting several years before detection [3][4]. Case Studies of Fraudulent Companies - Notable cases include: - Evergrande Group, which inflated revenue by over 560 billion yuan [3]. - ST Huawen, which inflated revenue by 3.62 billion yuan through improper accounting practices [4][5]. - ST Chuangyi, which inflated revenue by 3.93 billion yuan by misreporting income from sales [6][7]. - ST Meichen, which inflated revenue by 14.39 billion yuan over five years through fraudulent procurement practices [13][14]. Impact of Regulatory Actions - The regulatory crackdown has led to the delisting of several companies, including ST Meichen and ST Huawen, due to severe financial misconduct [12][21]. - The enforcement actions have resulted in a more stringent environment for financial reporting, with companies facing significant penalties and reputational damage for non-compliance [2][20].