Core Insights - The article highlights the successful conclusion of the China International Metal Forming Exhibition, where Dayun Technology showcased its core technologies and full-stack product system aimed at facilitating digital transformation in manufacturing enterprises [1] Group 1: AI Empowerment in Manufacturing - Dayun Technology utilizes AI for predictive maintenance, connecting equipment manufacturers and production enterprises to eliminate data silos and establish a unified equipment management standard, thereby enhancing equipment utilization and production efficiency [3] - The downtime analysis module addresses core pain points for production enterprises by enabling precise classification and real-time monitoring, facilitating a closed-loop management system from problem identification to resolution [3] Group 2: "1+4+N" Product System - The Equipment Data Lake (EDL) collects and aggregates operational data in real-time, creating a digital foundation for all equipment by utilizing self-developed edge computing gateways [4] - The downtime analysis module aids in problem identification and closed-loop management [5] - The platform supports seamless integration with various industrial systems, providing real-time data for lifecycle management [6] Group 3: Real-time Monitoring and Optimization - The Equipment Digital Twin Platform (EDT) offers real-time monitoring and optimization, presenting equipment operational status visually and enabling comprehensive monitoring and prediction [7] - The AI Application Service Platform (AIAS) transitions from reactive responses to proactive optimizations, offering services such as equipment health prediction and energy consumption analysis [7] Group 4: Value Summary - Dayun Technology's "1+4+N" system bridges equipment data silos, creating a collaborative intelligent manufacturing ecosystem that propels enterprises towards efficient and intelligent management [9] Group 5: Exhibition Outcomes - The exhibition attracted significant attention from industry experts and clients, with recognition from the China Forging Association for Dayun Technology's capabilities in promoting AI technology collaboration between equipment manufacturers and production enterprises [10] - Dayun Technology received the "Outstanding Supplier Recommendation Award for Forging, Stamping, and Sheet Metal Equipment," reflecting industry acknowledgment of its technological strength and driving continuous innovation [12] Group 6: Future Vision - Dayun Technology aims to deepen its focus on industrial AI, facilitating a shift from passive to predictive management, and fostering a collaborative, efficient digital factory ecosystem with equipment manufacturers and production enterprises [14]

Group 1 - The core viewpoint is that AI technology is becoming a driving force for a new round of technological revolution, particularly in the energy and chemical industries, which are expected to undergo a digital and intelligent upgrade driven by AI [1][2] - Traditional coal power systems are struggling to meet the demands of new power systems, leading to a need for intelligent control upgrades. For instance, operators in a chemical company's self-owned power plant handle 2,000 to 4,000 control commands daily, facing issues like control lag and parameter oscillation [1] - The intelligent solutions from the company have been implemented in over 100 benchmark projects across four major industries: thermal power, chemicals, metallurgy, and environmental protection, achieving over 99% automation in upgraded chemical thermal power plants, with operational efficiency improved by 1.7% [1] Group 2 - The company highlights that China has unique advantages in industrial data generation in sectors like petrochemicals and power production, which are essential for developing industrial AI [2] - Industrial AI differs significantly from large language models, which face issues like hallucination and high energy consumption, making them unsuitable for industrial applications. Therefore, a specialized technical system for industrial AI is necessary [2] - Future trends in industrial digitization in the energy and chemical sectors include a shift from point optimization to global intelligence, from cloud collaboration to autonomous decision-making, and from efficiency tools to low-carbon engines, with AI being a key enabling technology for achieving carbon neutrality goals [2]

北京东土科技股份有限公司 董事会 2024 年度工作报告 2024 年度，公司董事会严格按照《公司法》《证券法》等法律法规以及《公 司章程》《董事会议事规则》等的相关规定，本着对全体股东负责的态度，恪尽 职守、积极有效的行使职权，认真执行股东大会的各项决议，勤勉尽责的开展董 事会各项工作，保障了公司良好的运作和可持续发展。现将董事会 2024 年度工 作主要工作报告如下： 一、公司 2024 年度经营指标完成情况 2024 年全球宏观环境复杂多变，地缘局势博弈加剧。在此背景下，中国经济 展现出强大韧性，在迈向高质量发展的进程中，面临着产业结构调整以及有效需 求进一步释放等多重挑战。面对形势变化，公司坚定自主可控的发展理念，紧抓 工业智能化产业趋势，积极谋划并布局各项业务。报告期内，公司实现营业收入 102,913.75 万元，虽然同比下降 11.52%，但实现扣非归母净利润 923.44 万元， 同比增长 108.52%。其中，公司工业操作系统及工业软件业务长期战略布局效果 显现，该部分业务实现收入增长 25.8%；同时，公司持续深化工业网络通信业务 的全球化战略，新增开拓拉丁美洲、中东等友好市场，报告期内， ...