CIBF 现场直击｜磅旗工业AI 智能体 + 机器人重构新能源未来工厂

作者：龚作仁文章来源：Laborer

2026-05-15 17:32

作者：龚作仁文章来源：Laborer

2026-05-15 17:32

邦小白快读

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本文是2026年CIBF中国国际电池技术展览会的现场报道，核心介绍参展企业磅旗科技的核心技术与参展信息，整理核心干货如下：

1. 核心展会信息：本次展会于5月13-15日在深圳国际会展中心宝安馆举办，磅旗科技位于16号馆16T122展位，参展主题为构建下一代新能源AI智能工厂，展出四大核心技术产品，同时对外披露了全球化出海战略布局。

2. 核心技术成果：磅旗自研工业垂类AI大模型，打造出具备四大自主能力的工业AI智能体，采用数字白领+数字蓝领双体系，其中AI跟单员处理订单效率可达人力的1300倍，可替代90%重复性脑力劳动，已经落地锂电全工序全流程无人化场景。

3. 创新解决方案：推出产链一体化循环包装方案助力绿色降本，推出RaaS“0投入拎包入住”方案降低智能化门槛，目前已落地2000+项目，服务多家新能源头部企业。

本文针对新能源品牌商，整理了行业发展趋势、品牌运营与产品研发的参考干货如下：

1. 行业发展趋势：当前新能源产业已经从产能扩张竞争转向生产效率竞争，AI全域协同驱动的全流程无人化是行业大势，双碳战略背景下，绿色低碳供应链成为行业核心刚需，出海拓展全球市场也是头部品牌的重要发展方向。

2. 产品研发方向：传统单点自动化缺乏全域协同没有价值，产品研发需要转向打通全链路数据闭环，解决自动化碎片化、数据孤岛痛点，实现从体力替代到脑力赋能的升级。

3. 品牌建设参考：可借助顶级行业展会进行技术展示、品牌发声，通过主题发布会、实景演示、一对一诊断服务提升获客效果，同时兼顾头部客户定制化需求和中小客户低成本需求，可有效提升市场覆盖率。

本文为新能源领域相关卖家，梳理了当前行业的增长机会、转型方案与风险提示，干货如下：

1. 行业增长机会：当前新能源锂电产业规模持续扩容，全流程无人化智能化转型、绿色低碳供应链升级都有大量市场需求，全球化出海也成为新的增长方向，卖家可围绕这些方向布局业务。

2. 转型机会与风险提示：中小卖家智能化转型普遍面临重资产投入门槛高的问题，磅旗推出的RaaS“0投入拎包入住”模式，将重资产转化为按效付费的轻运营，已经有案例实现人效提升200%、成本下降30%，可有效降低转型风险。

3. 可参考的商业模式与获客路径：可参考全产业链布局模式，覆盖上游原材料到下游整车全环节，同时可通过顶级行业展会对接资源、对接客户，发布新品获取行业关注。

本文面向新能源制造工厂，整理了智能化转型的方向、商业机会与落地启示，干货如下：

1. 生产需求与行业大势：当前新能源制造已经从产能竞争转向效率竞争，全流程全场景无人化是必然趋势，传统单点自动化、缺乏AI协同的模式已经无法满足竞争需求，工厂需要推动全链路智能化升级。

2. 数字化转型启示：可参考磅旗的工业AI智能体方案，搭建数字白领+数字蓝领双体系，用数字白领替代90%重复性脑力劳动，打通数据、设备、业务全链路壁垒，解决数据孤岛、自动化碎片化痛点，实现从被动机械运行到主动自主协同的升级。

3. 降本与商业机会：双碳背景下，产链一体化循环包装方案可以有效降低包装耗材成本，减少资源损耗，符合绿色生产要求，同时不同规模工厂都有适配方案，大型工厂可做定制化升级，中小工厂可选择RaaS轻模式转型。

本文为工业智能化领域服务商，整理了新能源行业的发展趋势、客户痛点与可参考的解决方案，干货如下：

1. 行业发展趋势：新能源制造已经正式迈入工业AI智能体时代，行业需求从传统的生产端体力替代转向运营端脑力赋能、全链路AI全域协同，双碳驱动的绿色供应链升级、全球化出海布局都是新的行业增长点。

2. 核心客户痛点：大型新能源企业面临自动化碎片化、数据孤岛、生产调度效率低的痛点，有全流程无人化升级的需求；中小企业面临重资产投入门槛高，不敢轻易转型的痛点；锂电产业链跨环节流转还存在包装耗材成本高，不符合低碳要求的痛点。

3. 可参考的解决方案与运营经验：底层自研工业垂类AI大模型，打造具备四大自主能力的工业智能体系，创新RaaS轻服务模式降低转型门槛，推出循环包装方案解决绿色降本需求，同时通过大量标杆项目打磨标准化交付体系，兼顾不同规模客户的需求，提升市场覆盖。

本文针对会展、工业智能化服务平台类商家，整理了行业需求、运营经验与风向提示，干货如下：

1. 行业对平台的核心需求：新能源产业上下游企业有对接前沿技术、交流行业经验、对接客户资源的强需求，顶级行业展会是企业发布新品、展示品牌、洽谈合作的核心场景，平台需要围绕行业热点满足企业需求。

2. 可参考的运营管理经验：展会可设置主题发布会、专题干货分享、互动答疑环节，满足企业输出技术、对接客户的需求；同时可配套暖心服务比如茶歇、一对一智能化诊断、限量案例手册、互动福利，提升参展观展体验，吸引更多客流。

3. 风向提示：当前新能源行业核心热点是AI智能工厂、全流程无人化、绿色低碳供应链、企业出海，平台可围绕这些热点规划展区与活动，贴合行业发展趋势，同时对接不同规模企业的不同需求，提升平台的服务吸引力与覆盖范围。

本文为新能源产业、工业智能化领域的研究者，提供了最新产业动向、行业问题与创新商业模式的研究素材，干货如下：

1. 最新产业新动向：当前新能源产业已经完成从产能扩张竞争向生产效率竞争的转型，无人化转型也突破了传统体力替代的局限，正式进入AI驱动全域协同的工业AI智能体时代，未来工厂被定义为AI驱动，集感知、决策、执行、学习于一体的智能化有机生产综合体。

2. 当前行业新问题：传统自动化存在碎片化严重、数据孤岛突出、缺乏全域协同能力的问题，中小企业智能化转型面临重资产投入门槛过高的痛点，锂电产业链跨环节流转存在包装耗材成本高、不符合双碳发展要求的痛点。

3. 值得研究的创新与商业模式：技术层面，工业AI智能体的“数字白领+数字蓝领”双体系架构，实现了全场景全流程无人化落地，是重要的技术创新；商业层面，RaaS“0投入拎包入住”的按效付费模式，有效降低行业转型门槛，同时覆盖全产业链不同规模客户的需求，是值得研究的创新商业模式。

声明：快读内容全程由AI生成，请注意甄别信息。如您发现问题，请发送邮件至 run@ebrun.com 。

我是品牌商卖家工厂服务商平台商研究者帮我再读一遍。

Quick Summary

This is an on-site report from the 2026 CIBF China International Battery Technology Exhibition, with a focus on introducing the core technologies and exhibition information of exhibitor Bangqi Technology. Key takeaways are as follows:

1. Core exhibition information: The event is held from May 13 to 15 at the Bao'an Pavilion of Shenzhen World Exhibition & Convention Center. Bangqi Technology is located at Booth 16T122 in Hall 16. Its exhibition theme is "Building the Next Generation of AI-Powered New Energy Smart Factories", where it showcases four core technology products and unveils its global expansion strategy.

2. Core technological achievements: Bangqi has developed a proprietary industrial vertical AI large model, and built an industrial AI agent with four core independent capabilities. It adopts a dual system of "digital white-collar workers" and "digital blue-collar workers": among them, the AI order processor handles orders 1300 times faster than human workers, and can replace 90% of repetitive mental work. The solution has already been implemented in end-to-end unmanned scenarios across all lithium-ion battery production processes.

3. Innovative solutions: The company launched an integrated industrial chain reusable packaging solution to support green production and cost reduction, as well as a RaaS "zero-investment turnkey" solution to lower the barrier to intelligent transformation. To date, its solutions have been deployed in over 2,000 projects, serving multiple leading new energy enterprises.

This article summarizes key insights on industry trends, brand operation and product R&D reference for new energy brand owners, as below:

1. Industry development trends: The new energy industry has shifted its competition from capacity expansion to production efficiency. End-to-end unmanned production driven by AI-wide collaboration has become an industry-wide trend. Against the background of China's "Double Carbon" strategy, green low-carbon supply chains have become a core core demand of the industry, and global expansion to overseas markets is also a key development direction for leading brands.

2. Product R&D direction: Traditional point-specific automation delivers little value without full-domain collaboration. Future R&D should shift towards building closed-loop full-link data, addressing pain points of fragmented automation and data silos, and achieving an upgrade from physical labor replacement to mental work empowerment.

3. Brand building reference: Brands can leverage top-tier industry exhibitions to showcase technologies and amplify brand voice, improve lead generation through theme press conferences, live demonstrations, and one-on-one diagnostic services. By catering to both customized demands of large clients and low-cost needs of small and medium-sized clients, brands can effectively expand their market coverage.

This article sorts out growth opportunities, transformation solutions and risk alerts for sellers in the new energy sector, as follows:

1. Industry growth opportunities: The new energy and lithium battery sector continues to expand in scale, with massive market demand for end-to-end unmanned intelligent transformation and green low-carbon supply chain upgrading. Global expansion also opens up a new growth trajectory, and sellers can arrange their business around these directions.

2. Transformation opportunities and risk alerts: Most small and medium-sized sellers face the high barrier of heavy asset investment for intelligent transformation. Bangqi's RaaS "zero-investment turnkey" model converts heavy assets into outcome-based lightweight operation. Verified cases show it boosts labor efficiency by 200% and cuts costs by 30%, effectively reducing transformation risks.

3. Reference business models and customer acquisition paths: Sellers can refer to the full-industrial-chain layout model that covers all links from upstream raw materials to downstream finished vehicles. They can also connect with resources and clients, and release new products to gain industry exposure through top-tier industry exhibitions.

This article organizes directions for intelligent transformation, business opportunities and implementation insights for new energy manufacturing plants, as follows:

1. Production demand and industry trends: New energy manufacturing competition has shifted from capacity to efficiency, and end-to-end, full-scenario unmanned production is an inevitable trend. Traditional point-specific automation without AI collaboration can no longer meet competitive demands, and plants need to push forward full-link intelligent upgrading.

2. Digital transformation insights: Plants can refer to Bangqi's industrial AI agent solution to build the dual "digital white-collar + digital blue-collar" system. Digital white-collar workers replace 90% of repetitive mental work, break down barriers across data, equipment and business links, address pain points of data silos and fragmented automation, and achieve an upgrade from passive mechanical operation to active independent collaboration.

3. Cost reduction and business opportunities: Against the Double Carbon background, the integrated industrial chain reusable packaging solution effectively cuts packaging material costs, reduces resource consumption, and meets green production requirements. Adapted solutions are available for factories of all sizes: large factories can adopt customized upgrading, while small and medium-sized factories can choose the lightweight RaaS transformation model.

This article sorts out new energy industry trends, client pain points and reference solutions for industrial intelligent transformation service providers, as follows:

1. Industry development trends: New energy manufacturing has officially entered the era of industrial AI agents. Industry demand has shifted from traditional physical labor replacement on the production end to mental work empowerment on the operation end and full-link AI-wide collaboration. Double Carbon-driven green supply chain upgrading and global expansion are new industry growth points.

2. Core client pain points: Large new energy enterprises face pain points of fragmented automation, data silos and low production scheduling efficiency, and have demand for end-to-end unmanned upgrading. Small and medium-sized enterprises are held back by the high barrier of heavy asset investment and hesitate to pursue transformation. For cross-link circulation in the lithium battery industry chain, high packaging material costs also run counter to low-carbon requirements.

3. Reference solutions and operation experience: Build underlying proprietary industrial vertical AI large models, and develop an industrial intelligence system with four independent capabilities. Innovate the lightweight RaaS service model to lower the transformation barrier, launch a reusable packaging solution to meet green cost reduction demands, and refine a standardized delivery system through a large number of benchmark projects, to meet demands of clients of all sizes and expand market coverage.

This article organizes industry demand, operation experience and trend alerts for exhibition and industrial intelligent service platform operators, as follows:

1. Core industry demand for platforms: Upstream and downstream enterprises in the new energy industry have strong demand for accessing cutting-edge technologies, exchanging industry experience and matching client resources. Top-tier industry exhibitions are core scenarios for enterprises to release new products, showcase brands and negotiate cooperation, so platforms need to meet enterprise demands around industry hotspots.

2. Reference operation and management experience: Exhibitions can arrange theme press conferences, thematic insight sharing and interactive Q&A sessions to meet enterprises' needs for presenting technologies and matching clients. They can also add thoughtful supporting services such as refreshment breaks, one-on-one intelligent transformation diagnosis, limited edition case booklets and interactive perks to improve the experience for both exhibitors and visitors and attract more traffic.

3. Trend alerts: The current core hotspots in the new energy industry are AI smart factories, end-to-end unmanned production, green low-carbon supply chains, and enterprise global expansion. Platforms can plan exhibition areas and activities around these hotspots to align with industry development trends, and meet different demands of enterprises of different sizes to enhance the platform's service appeal and coverage.

This article provides research materials on the latest industry developments, current pain points and innovative business models for researchers in new energy industry and industrial intelligence, as follows:

1. Latest industry developments: The new energy industry has completed its transition from capacity expansion competition to production efficiency competition. Unmanned transformation has also broken through the limits of traditional physical labor replacement, and officially entered the era of AI-driven full-domain collaboration industrial AI agents. The factory of the future is defined as an AI-powered integrated intelligent production complex that integrates perception, decision-making, execution and learning.

2. Current new industry challenges: Traditional automation suffers from severe fragmentation, prominent data silos and a lack of full-domain collaboration capabilities. Small and medium-sized enterprises face the pain point of excessively high heavy-asset investment barriers for intelligent transformation, while cross-link circulation in the lithium battery industry suffers from high packaging material costs that do not meet Double Carbon development requirements.

3. Worth-studying innovations and business models: On the technical level, the "digital white-collar + digital blue-collar" dual architecture of industrial AI agents enables full-scenario, end-to-end unmanned implementation, representing a major technical innovation. On the business level, the outcome-based RaaS "zero-investment turnkey" model effectively lowers the industry transformation barrier and covers the needs of different-sized clients across the whole industrial chain, making it an innovative business model worthy of in-depth research.

Disclaimer: The "Quick Summary" content is entirely generated by AI. Please exercise discretion when interpreting the information. For issues or corrections, please email run@ebrun.com .

I am a Brand Seller Factory Service Provider Marketplace Seller Researcher Read it again.

盛会启幕智领行业新风向

2026年 5月 13日，CIBF2026中国国际电池技术展览会在深圳国际会展中心（宝安）盛大开幕。深耕AI+智慧物流与无人工厂赛道的磅旗科技，携工业AI智能体（AI Agent）、产链一体化循环包装、具身机器人、RaaS服务四大核心技术产品矩阵重磅亮相16号馆16T122展位。

开展首日展台人气沸腾、咨询洽谈络绎不绝，磅旗以工业AI智能体工厂解决方案为核心，凭借新能源全链路无人化智造实力成为全场瞩目焦点，强势引领新能源行业全流程、全场景无人化变革浪潮。

本次CIBF展会，磅旗科技以“构建下一代新能源AI智能工厂”为核心参展主题，精准锚定新能源产业从产能扩张竞争迈向生产效率竞争的行业发展大势，全域展示「AI+ 超级工厂 + 无人仓库」一体化战略落地成果。

公司持续夯实全球AI+无人工厂、无人仓库、无人公司开拓者定位，依托前沿工业智能技术推动新能源制造正式迈入工业AI智能体时代，同时对外披露全球化出海战略布局，明确对标国际行业标准的长远发展规划。

磅旗科技董事长吴小倩女士表示：“缺乏AI全域协同的自动化毫无价值，新能源制造需告别传统单点作业模式，依托AI打通设备制造、智能调度、远程运维及数据资产化的全链路闭环。”在她看来，未来工厂将彻底脱离人工人力调度模式，升级为AI驱动、集感知、决策、执行、学习于一体的智能化有机生产综合体。

基于行业发展痛点与未来智造逻辑，磅旗科技创新研发AI智能体工厂解决方案，搭建完善的数字劳动力体系，助力制造工厂完成从被动机械运行到主动自主协同的智能化迭代，实现新能源产品从原料入厂到成品出厂的全流程智能无人化运营。凭借硬核技术实力与成熟落地能力，公司斩获多家新能源头部企业高度认可，客户复购率与行业市场覆盖率稳居行业前列。

深耕工业AI技术，打造全自主工业智能体系

磅旗科技深耕工业智能化领域，自研工业垂类AI大模型作为底层数字底座，叠加自主研发LDS无人化协同智能中台，打造具备自主感知、自主决策、自主执行、自主学习四大核心能力的全新工业智能体系，搭建云端智能决策+终端精准执行的完整业务闭环，适配新能源锂电复杂严苛的生产制造场景。

展会现场，磅旗科技实景演示AI智能体运行流程，化身“数字白领”的AI跟单员惊艳亮相，以高达1300倍人力的超高效率处理锂电跨境订单数据，智能研判生成最优分拣调度方案，同步下发执行指令，联动具身机器人、AGV实现多设备精准协同作业，直观展现工业AI智能体的强悍算力与调度能力。

依托独创的“数字白领+数字蓝领”双体系架构，展台高度复刻智能仓库7×24小时全流程无人化运营实景，标志着AI智能体已脱离技术概念阶段，深度落地锂电物流实战场景。解决方案全面覆盖锂电原料装卸、智能仓储、线边物流、OHT空中输送、电芯制程、化成分容、模组PACK、成品仓储及厂区无人驾驶全工序链路，实现锂电生产全流程智能化贯通。

此次技术革新，意味着新能源企业无人化转型打破传统生产端体力替代局限，正式迈入运营端脑力赋能、全域协同的全新发展阶段。

“其中，数字白领可替代企业90%重复性脑力劳动，精准破解新能源行业自动化碎片化、数据孤岛等行业痛点，打通数据、设备、业务全流程壁垒，依托AI全域协同能力完成工厂运营模式升级，为行业打造端到端全场景无人化标杆，筑牢无人工厂、无人公司发展的核心技术根基。”磅旗科技AI技术总监孔繁昊在接受媒体采访时介绍道。

循环包装+RaaS模式，赋能新能源制造绿色智能双升级

产链一体化循环包装，构筑绿色低碳供应链

在双碳战略纵深推进的行业背景下，新能源锂电产业规模持续扩容，粉料、电芯、电池包跨工序、跨厂区流转频次大幅攀升，循环包装成为锂电企业降本增效、绿色低碳发展的核心刚需载体。针对新能源汽车及锂电产业链流转痛点，磅旗科技推出面向新能源产业链的智慧工装与循环包装整体解决方案。

方案以产链一体化循环包装体系为核心支点，深度贴合新能源汽车全制造流程，搭建覆盖生产上下线、智能搬运、自动仓储、物流运输的一体化自动化流转体系。公司将智慧工装系统、自动化物流设备、智能仓储系统、数字化管理平台四大模块深度融合，打通生产、仓储、运输全环节数据链路，为客户打造贯穿生产与物流全过程的数字化、智能化、绿色化智能供应链体系，有效降低包装耗材成本、减少资源损耗，助力企业达成绿色生产、低碳运营目标。

创新RaaS服务模式，降低中小企业智能化门槛

“中小企业要转型，机器人投入太大，不敢轻易尝试”，展会现场多位新能源采购负责人道出行业中小企业智能化升级的普遍痛点。针对行业转型升级难题，磅旗科技推出RaaS“0投入拎包入住”创新服务方案，为中小制造企业智能化转型破局。

磅旗科技创新推出的RaaS模式，以“0投入拎包入住”为核心，将传统重资产投入转化为按效付费的轻运营服务，有效降低企业智能化升级门槛。现场发布的新能源行业案例显示，客户在零硬件投入下实现人效提升200%、成本下降30%。

全链落地·2000+标杆案例见证全产业链服务实力

依托轻量化RaaS创新服务模式降低行业智能化升级壁垒，磅旗科技同时深耕新能源全产业链全域布局，业务版图全面覆盖上游锂电原材料、中游电池制造、下游整车制造三大核心环节，完善全产业链服务能力。

截至目前，公司已在全球落地2000+智能化工程项目，深度服务宁德时代、亿纬锂能、国轩高科、欣旺达、贝特瑞、当升科技、理想汽车等一众行业龙头企业。凭借海量实战项目沉淀、丰富的头部客户服务经验，磅旗科技打磨出成熟完备的全场景解决方案与标准化交付体系，既能满足大型企业规模化、定制化、高端化的智造升级需求，也可精准适配中小企业轻量化、低成本、快落地的智能化转型诉求，实现全行业客户精准覆盖。

持续精彩，共探新能源智能新未来

本次CIBF2026展会将持续至5月15日，展会首日，磅旗科技专场发布会《从无人工厂到智能体工厂，重构新能源智造新范式》座无虚席，行业嘉宾齐聚一堂，共探工业AI智能体赋能新能源智造的全新路径。

5月14日-15日，展会现场将持续重磅发布行业新品，解锁前沿行业干货，其中包含《新能源产链一体化循环包装解决方案首次发布》、《从中国实践到全球赋能：磅旗科技出海物流方案解读》两大专题分享。

专业技术专家团队深度拆解工业AI智能体技术架构，分享锂电行业落地实操案例，详解全流程智能化解决方案；

互动答疑环节针对技术细节、落地成本、跨场景适配、后期运维等行业核心痛点，坦诚专业解答客户疑问；

展会期间持续开展专场技术发布，持续输出锂电无人化实战干货，赋能行业转型升级。

本次展会展台同步配置多重暖心服务，免费提供现磨咖啡、爆米花专属茶歇，同时开通一对一工厂智能化诊断服务，限量发放行业精装案例手册，现场互动福利好礼不停，硬核科技搭配暖心服务，打造优质观展洽谈体验。

磅旗科技诚邀行业各界同仁莅临深圳国际会展中心16号馆16T122展位，共探新能源智造无人化发展新趋势，聚力深耕工业AI技术赛道，携手迈向无人工厂、无人仓库、智能体工厂全新智造时代！

注：文/龚作仁，文章来源：Laborer，本文为作者独立观点，不代表亿邦动力立场。

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FAQ回顾

磅旗科技的工业AI智能体解决方案如何赋能新能源制造？

磅旗科技通过自研工业AI大模型和LDS无人化协同智能中台，打造具备感知、决策、执行、学习能力的工业智能体系，实现从原料到成品的全流程无人化运营，并已落地2000多个项目，服务宁德时代等头部企业。

什么是磅旗科技为新能源行业提供的RaaS服务模式？

RaaS模式是一种“0投入拎包入住”的按效付费服务，将重资产投入转化为轻运营，帮助中小企业降低智能化门槛。案例显示，客户可实现人效提升200%、成本下降30%。

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2026-05-15 16:51:20