二是鼓励大连等9城市因地制宜开展差异化探索。鼓励各城市结合自身区位优势和特色产业，因地制宜 制定个性任务，在试点领域、任务内容、具体实施路径等方面形成错位，促进创新成果的互补互鉴和系 统集成。如支持大连市发挥东北亚国际航运中心带动作用，丰富和完善航运等物流运输通道建设；支持 宁波市发挥先进制造和跨境贸易发展优势，推动保税维修新业态规范健康发展；支持厦门市依托重点园 区和平台，促进文化贸易便利化，促进金砖国家服务贸易合作；支持青岛市围绕建设现代海洋城市，加 强海洋科技创新，开展邮轮无目的地海上游航线试点；支持深圳市优化升级自由贸易账户功能，推进电 子提单在航运贸易领域试用；支持合肥市发挥科技创新和产业发展优势，深化科技服务领域改革；支持 福州市深入推进榕台交流合作，加强两岸经贸民生等领域交流合作；支持西安市开展铁路运单物权化改 革试点，加强科技创新和产业应用；支持苏州市开展生物医药研发用物品进口试点，探索高效便利安全 的数据跨境流动机制。 三是加强组织实施。围绕强化主体责任、加强贯彻落实、做好调法调规提出明确要求。 商务部外资司负责人表示，《大连等9城市服务业扩大开放综合试点任务》主要包括三方面内容，聚焦 支持 ...

一谈及企业数字化，大部分的企业领导与员工都会想到那是技术的事儿，既然是技术在一些领导的眼里 感觉就很简单，无非就是买个软件、上个系统、找个技术团队开发一下，然后想当然的认为问题就解决 了，数字化就完成了。但问题是技术侧的水比想象中深得多，然比技术更深更复杂的是技术背后的认知 与思维变革。今天老杨不谈所谓的转型与变革，就通俗的从技术视角讲讲企业数字化的技术难点究竟有 哪些。 这个问题在企业信息部门的眼里看起来是再清楚不过了，可问题是信息部门无法将这些技术问题向高层 决策者完全阐明其背后的复杂性与长远影响，导致技术规划常被简化，专业的问题被弱化，最后企业又 不得不花费更多的时间和成本去弥补因初期认知不足带来的各种技术债，今天老杨就来总结一下数字化 技术侧的几个关键难点。 第一，技术选型如"赌博" 大部分的传统企业开始做数字化首要面对的问题就是究竟选择何种技术路线，可以说是技术路线如"赌 博"一场，稍有不慎便满盘皆输。不同的技术架构、开发语言、部署方式与生态适配，直接影响系统未 来的可扩展性与维护成本。比如一些企业盲目跟风选择热门技术栈，却忽视自身业务场景与团队能力， 导致系统上线即"瘫痪"，还比如一些企业没有任何 ...

2023年，某知名电器企业公布了一份令人震惊的财报：数字化投入超2亿元，但各部门系统间数据流转仍依赖Excel和人工核对。公司CEO在内部会议上直 言："我们建好了高速公路，但收费站之间不联网。" 这不是个例。据统计，超过68%的中国企业在数字化转型中面临"系统孤岛"问题。数据在财务、销售、生产、仓储等系统中各自沉睡，无法形成有效协同。 而一家名为小懿互联的广州公司，正试图解决这个困扰中国企业多年的难题。 一、数字化转型的悖论：系统越多，效率越低？ 数据说话： "我们调研了1000多家客户，发现一个残酷事实：很多企业的数字化不是太少，而是太多了。""每个部门都买最好的系统，但这些系统之间无法对话。" 这种现象被业内称为"系统肥胖症"——企业身体（业务）在增长，但各个器官（系统）之间缺乏协调机制。 平均每家中型企业使用6.8个核心业务系统 系统间手动对接耗时占IT部门工作时间的40% 因数据不一致导致的决策失误，平均每年造成15% 的营收损失 二、小懿互联的"系统翻译官"哲学 成立于2013年的小懿互联，核心定位是"企业系统集成平台"。简单说，就是为不同系统建立一套通用翻译规则。 技术内核解析： 统一数据语言 ...

一、行业概述 节温器是控制冷却液流动路径的阀门。是一种自动调温装置，通常含有感温组件，借着热胀或冷缩来开 启、关掉空气、气体或液体的流动。节温器是根据冷却水温度的高低自动调节进入散热器的水量，改变 水的循环范围，以调节冷却系的散热能力，保证发动机在合适的温度范围内工作。节温器必须保持良好 的技术状态，否则会严重影响发动机的正常工作。如节温器主阀门开启过迟，就会引起发动机过热；主 阀门开启过早，则使发动机预热时间延长，使发动机温度过低。 内容概况：当前，中国节温器行业正处于由传统燃油车向新能源汽车转型的关键时期，在市场需求、技 术路线和竞争格局等方面均呈现出深刻变革。行业整体运行平稳，但结构性调整显著。2024年，中国节 温器行业市场规模约为157.44亿元，同比增长10.69%。虽然传统燃油车市场体量庞大，仍构成当前行业 需求的基本盘，但其增长已进入平台期。行业的真正增长动力已切换至新能源汽车领域。新能源车的电 池热管理、电机电控散热等系统对温控精度和响应速度要求远高于传统发动机，这直接驱动了智能节温 器和集成式热管理模块的需求快速增长。这种由"单一部件"向"系统集成"的转变，极大地提升了产品的 技术附加值， ...

在"以销定采、快反快供"成为电商运营核心逻辑的今天，企业对前后端系统协同效率的要求前所未有地提高。前端依赖聚水潭等电商SaaS平台快速响应市场 订单、高效管理仓配；后端则依托金蝶云·星空实现财务合规、成本核算与供应链计划。然而，若两者之间仅靠人工导表或简单接口对接，极易在采购入 库、销售出库等关键业务环节出现断点——不仅拖慢履约速度，更可能引发账实不符、税务风险和客户投诉。 本文聚焦于聚水潭与金蝶云·星空在购销业务流上的深度集成，剖析典型场景中的协同难点，并探讨如何通过以KPaaS集成扩展平台实现单据自动流转、状 态实时同步与业务闭环管理。 购销业务是连接前端交易与后端财务的"主干道"。其顺畅与否，直接决定企业的运营效率与数据可信度。典型的集成路径包括： 这些单据不仅是物流动作的记录，更是财务凭证的源头。一旦同步失败或延迟，将导致： 因此，购销业务流的自动化、一致性与可追溯性，是衡量集成成熟度的关键指标。 许多企业在初期采用以下方式处理购销单据同步，但很快遭遇瓶颈： 1.手工导出导入：效率低、易出错 运营人员每日从聚水潭导出数百条出库单Excel，再由财务手工导入金蝶。不仅耗时（平均2–3小时/天），还常因字 ...

证券日报网12月12日讯震裕科技（300953）在12月11日回答调研者提问时表示，根据公司2025年半年报 披露：公司在组件产品产业化的基础上，不断迭代系统集成，通过加工工艺的不断改进，加速反向式行 星滚柱丝杠—线性执行器模组—高度集成仿生臂的迭代；考虑到为客户整机减重、减小发热量已迭代至 第三代产品，相比上一代产品减重22.5%，执行器装机工况表面温度降低13%，已具备规模化量产能 力；模组体积较前代缩小30%以上；下一代高度集成化模组正在开发，预计下半年推出市场。此外还通 过微型滚柱丝杠、微型滚珠丝杠、微型行星齿轮组及微型蜗杆齿轮等组件的产业化为下游客户灵巧手硬 件提供定制化的集成方案。明年公司将推出旋转关节模组。 ...

Core Insights - Kandi Technologies Group has announced the completion of key functional modules for its "Intelligent Delivery Robot Dog Solution," which will now enter the pilot and commercialization validation phase [1] - The company is transitioning from a pure manufacturing entity to a technology-driven enterprise, establishing a business framework focused on North American off-road mobility products and supported by smart robotics and energy exchange equipment [1] - The intelligent delivery robot dog addresses high labor costs and limited delivery efficiency in the logistics industry, potentially providing an efficient and sustainable supplementary capacity for the express logistics sector [1] Product Development - The intelligent delivery robot dog is equipped with a proprietary delivery box and an integrated hardware and software system, specifically designed for gated communities and office environments [1] - The system allows couriers to select the robot dog and input delivery addresses, with features such as barcode identity verification and voice interaction prompts already developed and tested [1] - Future developments include autonomous navigation and automatic return functions, aiming to achieve a complete delivery loop [1] Strategic Partnerships - Kandi Technologies' CEO, Chen Feng, highlighted the diverse applications of the robot dog in supporting the company's global strategic layout, including a recent partnership with Indonesia's largest digital ecosystem company, Goto Group, to explore "last mile" delivery solutions [2] - The "Intelligent Delivery Robot Dog Solution" demonstrates the company's ability to deeply integrate core AI technology with robotic platforms, ensuring that technological innovations align with market demands from the outset [2] - The initiative reflects the company's accumulated expertise in smart mobility technology, system integration, and innovation capabilities, showcasing its strategic foresight and market potential in the field of intelligent robotics [2]

Core Viewpoint - The Jiangsu Province Ju Rong City Discipline Inspection and Supervision Commission is enhancing its supervisory mechanisms by focusing on key responsibilities, integrating resources, and improving effectiveness in oversight [1][2][3] Group 1: Supervision Mechanisms - The commission emphasizes the importance of defining responsibilities, closely monitoring key individuals and significant matters, and ensuring comprehensive accountability across all levels [1] - A leadership structure has been established to support the work of the stationed supervisory bodies, enhancing their operational capabilities [1] - A mechanism for liaison officers has been introduced to strengthen the collaboration between stationed institutions and internal disciplinary bodies, thereby improving supervisory effectiveness [1] Group 2: Supervision Models - The commission implements a "comprehensive supervision + stationed supervision + diagnostic supervision" model, ensuring full coverage of annual stationed supervision across various units [2] - Prior to stationed supervision, the supervisory teams engage with various departments to gather information on complaints and issues, ensuring a clear understanding of the situation [2] - After stationed supervision, a problem list and feedback report are generated, with strict deadlines for rectification and ongoing monitoring of compliance [2] Group 3: Integration and Collaboration - To address the challenges of dispersed supervisory forces, the commission promotes a system integration approach, enhancing collaboration among different supervisory groups [3] - The commission employs a "professional + modular" approach to integrate supervision and case handling, fostering collaboration between experienced and new personnel [3] - There is a focus on combining stationed supervision with inspection and audit supervision to enhance problem detection and resolution [3]

Group 1 - The core viewpoint is that the current price increase of battery cells is a short-term phenomenon driven by concentrated demand and technological transitions, with long-term stability expected in prices [1] - Battery cell manufacturers are experiencing price increases for small orders, while maintaining stable prices for large clients to avoid losing long-term contracts [1] - The production consistency and yield of leading manufacturers are superior, impacting the overall performance and cost-effectiveness of battery cells [2] Group 2 - The transition from 314 to 500/600+ battery cells is unlikely to create significant advantages for leading manufacturers in the short term, as many are also involved in system integration [3] - Current competition in the battery cell industry is more about system integration experience and service quality rather than breakthroughs in battery cell technology [3] - The lack of significant technological barriers in battery cell production means that leading manufacturers are diversifying into system integration to maintain market share [2][3]

Core Insights - The main challenge for AI agents in enterprises is not the technology itself but rather the integration of human processes, legacy systems, and the need for clear workflow definitions [34][38]. Group 1: Importance of AI Agents - AI assistants are becoming ubiquitous, with vendors promising "autonomous driving" capabilities for managing departments while multitasking [2]. - The transition from demonstration to actual production reveals that the real obstacles lie in human factors rather than AI technology [2][34]. Group 2: Key Obstacles - **Obstacle 1 - Ubiquity of Agents**: Many enterprise problems can be solved more effectively with simpler methods rather than relying on AI agents [9][10]. - **Obstacle 2 - Workflow Definition**: Enterprises often lack clear workflows, leading to confusion and inefficiencies [11][12]. - **Obstacle 3 - Integration with Existing Systems**: Integrating AI agents into legacy systems is complicated due to outdated designs and technical debt [18][24]. - **Obstacle 4 - Evaluation**: Continuous assessment of AI agents is crucial to ensure they are functioning correctly and meeting business needs [30][34]. Group 3: Recommendations for Successful Implementation - Modernizing workflows is essential to clarify what can be automated and how [13][36]. - Integration should be approached as a comprehensive project that addresses both workflow and legacy system challenges [38]. - Establishing robust evaluation metrics is necessary to build trust in AI agents and ensure they deliver value [30][33].