Group 1 - The 25th GOPS Global Operations Conference and Smart Technology Summit was held in Shenzhen, focusing on advanced technology ideas and practices for operations personnel in various industries including internet, finance, and telecommunications [1] - The conference featured experts from China Post Consumer Finance, who shared innovative practices in operations maintenance, emphasizing the integration of digital technology with consumer finance [1] - The event highlighted the challenges faced by traditional operations models due to increasing IT system complexity and business continuity requirements, advocating for a shift from reactive to proactive operational strategies [1] Group 2 - The AIOps best practices session included a presentation by Jiang Haolan on building a self-healing operations system, detailing the transition from "minute-level" to "second-level" operational capabilities [1] - The presentation emphasized the importance of a proactive defense system that enhances business continuity and operational efficiency while reducing the risk of unexpected failures [1] - Dong Pei presented on the construction of an intelligent observability system, focusing on a business scenario-oriented monitoring platform that covers seven major business scenarios with an 80% event monitoring coverage rate [2] Group 3 - The observability platform aims to address monitoring pain points and challenges, providing robust support for fault detection, diagnosis, and resolution [2] - The implementation of a comprehensive monitoring system has led to minute-level self-healing capabilities in business scenarios, significantly improving overall operational efficiency [2] - The successful presentations received high recognition from attendees, reinforcing the importance of intelligent operations capabilities in enhancing the core competitiveness of high-quality development for China Post Consumer Finance [2]

Group 1: Financial Performance and Management - The increase in asset impairment losses in 2024 is primarily due to provisions for bad debts on accounts receivable and inventory write-downs [2] - The company has actively increased dividend payouts in the past two years and plans to continue this trend to enhance shareholder returns [4] - As of April 30, 2025, the total number of shareholders is 9,899 [4] Group 2: Business Development and Innovation - The core of "developing new quality productivity" focuses on technological innovation to drive industry innovation, with key tasks including upgrading rail transit equipment and cultivating strategic emerging products [2] - The company has launched several high-quality, intelligent, and green products, such as carbon fiber composite driver operation consoles and low-voltage electrical monitoring systems, to promote new quality productivity [3] - Future growth in the high-speed rail maintenance business is expected due to the increasing demand from the expanding rail transit lines and the aging of existing vehicles [3] Group 3: Market Outlook and Strategy - The company emphasizes the importance of market demand and technological innovation in guiding its development strategy, aiming to provide better products and services [3] - The company is committed to value management and has been repurchasing shares in the secondary market to enhance its core competitiveness [4] - Future industry layout will focus on deepening the rail transit vehicle equipment market, product innovation, and potential mergers and acquisitions to scale up operations [4]

一、重要提示 本年度报告摘要来自年度报告全文，为全面了解本公司的经营成果、财务状况及未来发展规划，投资者 应当到证监会指定媒体仔细阅读年度报告全文。 所有董事均已出席了审议本报告的董事会会议。 信永中和会计师事务所（特殊普通合伙）对本年度公司财务报告的审计意见为：标准的无保留意见。 本报告期会计师事务所变更情况：公司本年度会计师事务所未发生变更。 非标准审计意见提示 □适用 √不适用 证券代码：301208 证券简称：中亦科技 公告编号：2025-004 公司上市时未盈利且目前未实现盈利 □适用 √不适用 董事会审议的报告期利润分配预案或公积金转增股本预案 √适用 □不适用 公司经本次董事会审议通过的利润分配预案为：以公司截至2024年12月31日的总股本120,000,060股为基 数，向全体股东每10股派发现金红利人民币2.00元（含税），不送红股，不以资本公积金转增股本。 董事会决议通过的本报告期优先股利润分配预案 □适用 √不适用 二、公司基本情况 1、公司简介 ■ 2、报告期主要业务或产品简介 （一）主要业务及产品 公司是一家IT基础架构全栈式、全周期的"服务+产品"提供商，主营业务专注于IT基础架 ...

在技术档案管理方面，银光集团强化标准化建设，构建覆盖设备采购、验收、运维的全流程管理体系， 针对不同服役阶段的设备，实施差异化管控策略，通过工况适应性评价完善设备退役标准；启动电气线 路、消防设施等专项治理工程，建立隐患分级整改机制，确保设备安全运行。 今年以来，甘肃银光化学工业集团有限公司以标准化建设为基石，以智能运维为引擎，以全员参与为保 障，全方位推进设备全寿命周期管理，推动设备管控从被动维修向主动预防转型，为安全生产注入持续 动能。 标准化建设 提升管理效能 银光集团构建科学选型标准体系，将技术参数、安全性能等核心要素纳入设备选型规范，并建立供应商 动态评估机制，通过技术准入与质量追踪双重管控，持续优化供应链体系。 银光集团创新实施设备全周期安全预控模式，针对新建及首用设备开展模块化风险辨识，系统建立涵盖 材质特性、失效模式等要素的风险清单，通过数据建模预判设计缺陷，并制订超前防控方案，为设备安 全运行提供全方位保障。 银光集团同步深化备品备件管理，构建分类储备、质量追溯、供应商评估"三位一体"的管理模式，通过 实施备件全流程质量跟踪，建立从入厂检验到故障分析的闭环管理机制，并配套制订覆盖采购、仓储、 ...

Core Insights - Generative AI technology is becoming a core driver of business innovation as companies accelerate their journey towards intelligence [2] - The integration of DeepSeek's large model into Bonree ONE platform enhances operational efficiency through "observability + AI" [2][7] Industry Trends and Challenges - LLM services are transitioning from general applications to vertical fields such as financial risk control and medical diagnosis, with companies focusing on private deployment to create data loops and customized services [3] - Challenges include data governance and model security, resource allocation, technical debt, system integration complexity, and dynamic model management, which impact the stability and sustainability of intelligent transformation [3] Solution Overview - Bonree ONE platform focuses on the full lifecycle observability of private LLM services, enhancing intelligent operations [4] - The platform covers the entire operational loop from monitoring to action, ensuring improved efficiency and business stability [4] Key Solutions: Technical Breakthroughs and Core Capabilities - Companies face challenges in LLM service implementation, including lack of observability, inefficient root cause analysis, complex traditional tools, and delayed responses [5] - Bonree ONE addresses these challenges with four core solutions to enhance operational efficiency and business value [6] Operational Efficiency Enhancements - AI assistant improves root cause analysis through a three-step process, enhancing cross-team collaboration and efficiency [6] - The end-to-end monitoring system tracks the entire training and inference process, improving model iteration efficiency by 40% and fault recovery speed by 60% [6] - Daily operational tasks are streamlined, reducing usage barriers by 80% and increasing self-analysis by business departments to 70% [6] - AI assistant automates diagnostics and report generation, reducing major fault occurrence by 50% and resource waste by 25% [6] Value Proposition - The integration of "observability + DeepSeek" in Bonree ONE significantly enhances intelligent operations, providing direct value support for cost reduction and efficiency improvement [7]

解决之道 AI与数字化浪潮席卷全球，您的水泵还在"沉默"吗？ ，为水泵注入智慧，让它们 "开口说话" ！告别传统运维模式，凯士比邀您一同开启 智能、高效、节能 的全新时代。 智慧引擎： AI算法驱动，故障预警快人一步 Sentinel凯泵卫士实时监测 振动、温度、转速 等关键数据，为水泵提供 全天候健康守护 。 AI模型精准诊断， 故障诊断准确度超85%，综合误报率低于1% ，提前发现潜在问题。 系统自动生成明确的"检修单"， 减少故障排查时间高达70% ， 节约人力投入约65%。 性能管家： 精益管理，能效提升看得见 实时计算设备能效，识别异常耗电， 定位 节能机会点 ，全年能耗节省 一目了然 。 实时展示每台设备能耗，绩效对比一目了然， 全局管理更清晰。 精准监控和预测系统压力、供水量，提前应对突发状况， 确保100%供水无忧。 根据设备表现，制定 最优协同调度策略 ，支持自动/手动下达命令，系统运行更高效。 安全可靠 针对性能退化、功率不足等问题，提供调控或改造建议，使泵的 效率提升约20%，能耗节省高达60%！ 定制化运行方案：根据每台设备实时数据，动态规划运行和保养方案， 让您的水泵始终保持最佳状态 ...