（文章来源：央视新闻） 应急管理部相关负责人今天在高质量完成"十四五"规划系列主题新闻发布会上介绍，2021—2024年平均 每年发生矿山事故起数、遇难人数分别比"十三五"下降29.7%、29.1%。 建成重大风险监测预警"一张网"，已接入所有正常生产建设煤矿、所有在用尾矿库、绝大多数高陡边坡 金属非金属露天矿山感知数据。目前，全系统累计开展远程监察执法1万余矿次，发现问题隐患4.2万余 条，其中重大事故隐患480余条，及时化解消除了一大批重大安全风险隐患。与2020年相比，全国煤矿 智能化采掘工作面由494个增加到目前的1930个。 ...

其产品已广泛应用于智慧公路、工业自动化、电力、智慧城市等多个领域，并与国铁集团、国家能源集 团、中石化等大型央企建立稳定合作。此次中标进一步巩固了煜炜光学在高端传感领域的市场地位，也 为实现"透明矿山"目标提供了关键技术支撑。 南山智园崇文园区作为南山区重点打造的高科技产业集聚区，聚焦集成电路、人工智能等前沿产业，为 煜炜光学等创新企业提供了重要发展平台。 近日，南山智园崇文园区入驻企业煜炜光学成功中标中国煤炭科工集团开采研究院首届"揭榜挂帅"科技 项目——"矿用抗震雷视一体传感器"。 煜炜光学长期专注于激光雷达及光学传感技术的研发与产业化，已申请200余项核心知识产权，在测量 距离、精度、速度等关键指标上达到行业领先水平。该公司拥有八大核心技术平台，涵盖高速硬件、精 密光学、空间算法等领域，具备为不同行业定制激光雷达产品的能力。 深圳商报·读创客户端记者 郑恺 ...

本次战略合作协议的签署，是公司与中煤矿建集团立足资源禀赋与发展战略高度契合的重要合作。作为 我国煤炭建设领域龙头企业，中煤矿建集团拥有丰富矿山建设经验、强大工程实施能力及覆盖国内多省 份及东南亚、中亚、非洲、欧洲等区域的全球化业务布局;公司则在矿山智能化技术领域具备核心优 势。双方通过技术与工程能力的深度融合，将在项目建设、科研攻关等领域展开广泛协作，共同推动智 能化技术在矿山全生命周期中的创新应用，不仅能为公司技术成果转化提供优质工程场景支撑，更能依 托中煤矿建集团的全球化布局深化矿山领域自主品牌的国际化进程，最终实现互惠互利、共同发展的长 期目标。 甲乙双方将采取业务深化合作、科技创新和合作交流、成果推广应用及创新商业合作模式的方式，在国 内外智能化矿山及延伸板块，环保，清洁能源及资源综合利用等产业(主要包括智慧矿山建设与总承包; 矿山井下立体交通多移动目标信号控制与智能调度指挥系统;工业互联网平台、大数据云平台等平台搭 建;煤矿专用线等工业铁路信号工程和智能运输调度系统、铁路运输智慧调度指挥信息系统等建设)开展 合作。 格隆汇9月17日丨工大高科(688367.SH)公布，中煤矿山建设集团有限责任公司( ...

Group 1 - The core viewpoint of the article highlights the collaboration between Keda Control, Shanxi Coking Coal Group, and Yushu Technology to advance the development and application of mining robots in China, marking a significant step towards industrial synergy in the field [1][2] - Keda Control, recognized as the "first stock of smart mining" on the Beijing Stock Exchange, has strategically positioned itself in the mining robot sector since 2019, accumulating over 70 intellectual property rights and planning to add five new explosion-proof inspection robot patents by 2025 [2][4] - The partnership aims to develop explosion-proof quadruped robots capable of autonomous decision-making and collaborative operations for hazardous tasks such as gas inspection and equipment handling, leveraging the strengths of each party involved [2][3] Group 2 - The mining robot sector is identified as a rapidly applicable area for embodied intelligence, with the National Mine Safety Administration setting a target for at least 60% of coal mine intelligent production capacity by 2025 and a 30% replacement rate for robots in hazardous positions [4][5] - Keda Control is expected to seize opportunities arising from favorable policies, transitioning from an "equipment supplier" to an "intelligent system service provider," thereby enhancing its market share and industry influence [5] - The current low valuation of Keda Control, combined with the implementation of the cooperation agreement and increasing orders, is anticipated to lead to a rise in both performance and valuation, providing long-term value returns for investors [5]

Group 1 - The company, Meiansen, is a partner in the Mine Hong OSV ecosystem and has passed compatibility testing certification for its related products [2] - The company plans to collaborate with partners to innovate and establish technical standards, promoting interoperability in the industry [2] - The focus is on exploring new models and applications in the mining sector, aiming to advance the intelligent development of mines [2]

Core Viewpoint - The company has successfully developed and launched multiple intelligent mining robot products, emphasizing its commitment to the intelligent development of mining operations [1] Product Development - Core products include intelligent monorail transport robots, intelligent tracked transport robots, intelligent track installation robots, and intelligent inspection robots [1] - The intelligent monorail transport robot has been recognized as one of the 31 typical mining robot application scenarios and one of the 66 mining robot case studies by the National Mine Safety Administration and the Ministry of Industry and Information Technology in 2024 [1] Market Application - The company offers tailored intelligent solutions for mining enterprises of various sizes and extraction conditions through its comprehensive product matrix and modular customization options [1] - Current products have received market orders and are already in practical application, while the development of other mining robots is progressing in an orderly manner [1]

梅安森（300275.SZ）7月30日在投资者互动平台表示，公司是矿鸿OSV生态合作伙伴，公司部分产品已 通过矿鸿兼容性测试认证，未来公司将与合作伙伴协作创新，共建技术标准，推动产业互操作，充分发 挥各自优势，共同探索矿山领域的新模式、新应用，推动矿山智能化稳步发展。 （文章来源：每日经济新闻） 每经AI快讯，有投资者在投资者互动平台提问：贵司目前跟华为的所有系统都搭建好了吗？ ...

Group 1 - The company, Meian Sen (300275.SZ), is a partner in the Minhong OSV ecosystem and has passed compatibility testing for some of its products [1] - The company plans to collaborate with partners to innovate and establish technical standards, promoting interoperability in the industry [1] - The focus is on exploring new models and applications in the mining sector, aiming to advance the intelligent development of mines steadily [1]

Summary of Conference Call Records Company Overview - **Company**: 科达自控 (Keda Control) - **Industry**: Smart Mining, IoT Technology, and Services - **Market Position**: Listed on the Beijing Stock Exchange, with over 20 years of experience in the smart mining sector, high market share, and partnerships with major mining companies like Shenhua and China Coal [1][5][10]. Key Points and Arguments Smart Mining Development - **Technological Advancements**: Smart mining is transitioning from technology-driven to market-driven, focusing on practical capacity, coal mining, and workforce reduction [1][11]. - **Safety and Efficiency**: Automation in coal mining is crucial for safety, especially in reducing manual operations [7][8]. - **Market Potential**: The smart mining market is projected to exceed 1 trillion yuan, with initial estimates of over 600 billion yuan in retained value [12]. Autonomous Driving Technology - **Current Status**: Autonomous driving technology in mining is in the pilot phase, with advancements in truck scheduling and collision avoidance systems [4][22]. - **Challenges**: Legal and technical limitations hinder large-scale deployment, especially in underground mining environments [23][24]. - **Future Outlook**: The next 5-10 years may see embodied robots significantly reduce the workforce in coal mines, driven by national policies promoting intelligent robotics [4][36]. Innovation and Intellectual Property - **Achievements**: The company holds nearly 500 intellectual properties, including around 60 invention patents, and has been recognized as a national "specialized, refined, and innovative" enterprise [6][10]. - **R&D Focus**: Emphasis on developing specialized robots for mining applications, with ongoing projects in various sectors [15][40]. New Energy Charging and Swapping Business - **Growth Trajectory**: The new energy charging and swapping business has generated approximately 100 million yuan in net income by the end of 2024, becoming a significant growth driver [2][21]. - **Community Solutions**: The company has established 140,000 community charging stations, with over 10 million registered users [21]. Additional Important Insights - **Market Dynamics**: The shift towards market-driven solutions in smart mining emphasizes product quality and service efficiency as key competitive factors [11]. - **Regulatory Environment**: National policies are crucial for the development and application of intelligent mining robots, impacting industry growth [37]. - **Competitive Landscape**: The company faces competition from non-listed firms like Dandong Measurement and Beikong, with a focus on maintaining technological advantages [31][33]. Future Directions - **Business Expansion**: The company plans to leverage its technological strengths to explore new applications in familiar industries while maintaining a focus on smart mining and new energy solutions [42][43]. - **Growth Opportunities**: Identifying suitable application scenarios for new growth points is essential for sustaining business development [44].

Core Insights - The article discusses the current state and technological challenges of the mining robot industry, emphasizing the need for clearer application scenarios and advancements in core technologies to meet user demands [1][2]. Industry Overview - Major listed companies in the mining robot sector include CITIC Heavy Industries, China Railway Construction Heavy Industry, Keda Control, and others [1]. - The mining robot industry aims to enhance safety and efficiency by automating tasks such as inspection, extraction, transportation, and rescue [1]. Technological Challenges - The main bottlenecks in the development of mining robots include insufficient human-machine interaction, intelligent perception, and decision-making capabilities [1]. - There is a lack of investment in core algorithms and intellectual property, which hinders sustainable development in the mining robot industry [1]. Key Technological Directions - Future advancements will focus on FPGA chip technology, machine learning, neural networks, and digital twin technology [2]. - The development of lightweight, explosion-proof batteries and enhanced robotic arms for better maneuverability and fault detection is also highlighted [2][5]. Development Process - The development process for mining robots consists of six steps, starting from demand analysis to mass production after sample testing [6]. Key Technologies - Navigation technology is crucial for autonomous movement in mining robots, with various methods including magnetic, inertial, GPS, and visual navigation [7][9]. - Path planning involves searching for optimal paths based on environmental information, which remains an active area of research [10]. - Multi-sensor fusion technology integrates data from various sensors to provide a comprehensive understanding of the environment, enhancing decision-making capabilities [11][13].