行业最多海尔智家新增11座国家级绿色工厂

作者：龚作仁文章来源：Laborer

2026-02-10 11:23

作者：龚作仁文章来源：Laborer

2026-02-10 11:23

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文章重点介绍了海尔智家成为行业新增国家级绿色工厂数量最多的企业，提供节能降耗的实操干货。

1. 海尔智家旗下11座工厂入选国家级名单，通过AI深度融合实现绿色制造。

2. 绿色工厂评选标准严苛，包括能源低碳化、资源高效化等五项指标，确保行业标杆水准。

3. 实操案例：郑州热水器工厂应用AI智能体，生产环节设备100%互联，提升效率31%，降低能耗20%。

4. 用户环节：提供智慧节能方案，家庭用户节电24%，节水13%。

未来海尔智家将持续深化AI与绿色制造融合，助力行业绿色发展。

海尔智家在品牌营销和产品研发方面展示绿色创新，契合消费趋势和用户行为变化。

1. 品牌营销：权威认可如国家级绿色工厂强化形象，成为行业标杆，提升消费者信任。

2. 产品研发：AI驱动设计和生产，如热水器工厂实现多能源智慧用水，降低整机成本4.8%。

3. 消费趋势：用户对绿色节能产品需求增加，被转化为生产线参数，驱动产品升级。

4. 用户行为观察：提供定制节能方案，满足家庭节能需求，增强用户黏性。

海尔智家以智慧家庭战略牵引，推动绿色理念贯穿全生命周期，响应消费者环保偏好。

政策驱动的绿色工厂建设带来增长机会，海尔智家案例提供可学习点。

1. 政策解读：工信部绿色工厂评选基于能源低碳化等严格标准，需第三方评价和专家审核。

2. 机会提示：AI应用如需求预测和柔性排产降低能耗20%，成本降4.8%，提升市场竞争力。

3. 风险提示：行业向绿色转型加速，需关注新商业模式如AI智能体矩阵，避免落后。

4. 可学习点：数字化和绿色化融合，如郑州工厂生产效率提升31%，可作为应对措施。

海尔智家实践展示合作方式，如供应链AI超级智能体，覆盖15个场景，提供增长启示。

工厂可借鉴海尔智家在生产和设计中的绿色实践，挖掘商业机会和电商启示。

1. 生产需求：AI技术实现设备100%互联，落地AOI应用和自动测试，提升效率31%。

2. 设计需求：从产品开发到用户使用全流程优化，如热水器工厂降低能源消耗20%。

3. 商业机会：节能降耗带来成本降低4.8%，增强市场优势，响应绿色转型需求。

4. 电商启示：数字化推进如智慧物流和能源管理，支持线上渠道建设，提升运营效率。

海尔智家案例启示工厂推进数字化，通过AI矩阵实现资源高效化，开拓新机遇。

行业绿色发展趋势凸显，服务商可提供新技术解决客户痛点。

1. 行业趋势：低碳化和资源高效化成为制造核心，海尔智家入选绿色工厂展示方向。

2. 客户痛点：企业需节能减排，如能源消耗高问题，海尔通过AI降低20%。

3. 解决方案：供应链AI超级智能体覆盖需求预测、智能检测等15个场景，提供全流程优化。

4. 新技术：AI在预测、排产和能源管理中应用，如郑州工厂智慧节能云平台定制方案。

海尔智家实践启示服务商开发AI驱动工具，助力客户实现生产洁净化目标。

平台商需关注智能制造需求和绿色政策，海尔智家实践提供运营启示。

1. 商业需求：企业对高效、低碳生产需求增长，如海尔智家AI融合降低能耗20%。

2. 平台做法：智慧节能云平台面向用户定制方案，可作为招商范例吸引企业入驻。

3. 运营管理：AI智能体矩阵优化从排产到物流，提升效率31%，支持平台运营。

4. 风向规避：政策合规如绿色工厂标准，需规避风险，确保平台企业符合规范。

海尔智家案例展示平台如何整合AI技术，推动绿色理念贯穿全生命周期，管理风险。

海尔智家案例揭示产业绿色新动向和政策启示，推动商业模式创新。

1. 产业动向：AI与绿色制造深度融合，定义可持续发展路径，如全链路节能实践。

2. 新问题：如何实现产品设计、生产、回收全生命周期绿色化，需进一步探索。

3. 政策建议：国家级绿色工厂标准（能源低碳化等）可作为行业规范启示。

4. 商业模式：以用户为核心的AI智能体矩阵驱动创新，覆盖15个场景，提升效率。

海尔智家实践展示政策法规下，企业如何通过数字化响应绿色转型，提供研究参考。

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

Haier Smart Home leads the industry with the most new national-level green factories, offering practical insights into energy conservation and emission reduction.

1. Eleven Haier Smart Home factories were selected as national green factories, achieving green manufacturing through deep integration of AI.

2. The green factory selection criteria are stringent, covering five indicators including energy decarbonization and resource efficiency, ensuring benchmark industry standards.

3. Practical case: Zhengzhou water heater factory applied an AI agent, achieving 100% equipment connectivity in production, boosting efficiency by 31% and reducing energy consumption by 20%.

4. User benefits: Provides smart energy-saving solutions, helping households save 24% on electricity and 13% on water.

Haier Smart Home will continue to deepen the integration of AI and green manufacturing to support the industry's green development.

Haier Smart Home demonstrates green innovation in brand marketing and product R&D, aligning with evolving consumer trends and user behavior.

1. Brand marketing: Authoritative recognitions like national green factories strengthen its image as an industry benchmark, enhancing consumer trust.

2. Product R&D: AI-driven design and production, such as the water heater factory enabling multi-energy smart water usage, reducing overall costs by 4.8%.

3. Consumer trends: Growing user demand for green, energy-efficient products is translated into production line parameters, driving product upgrades.

4. User behavior insights: Offers customized energy-saving solutions to meet household efficiency needs, increasing user stickiness.

Guided by its smart home strategy, Haier Smart Home embeds green principles throughout the product lifecycle, responding to consumer environmental preferences.

Policy-driven green factory construction presents growth opportunities, with Haier Smart Home's case offering actionable insights.

1. Policy interpretation: MIIT's green factory selection is based on strict standards like energy decarbonization, requiring third-party evaluation and expert review.

2. Opportunity alert: AI applications, such as demand forecasting and flexible scheduling, reduce energy consumption by 20% and costs by 4.8%, enhancing market competitiveness.

3. Risk alert: The industry's accelerated green transition necessitates attention to new business models like AI agent matrices to avoid falling behind.

4. Learnings: Integration of digitalization and greening, as seen in Zhengzhou factory's 31% efficiency gain, can serve as countermeasures.

Haier Smart Home's practices demonstrate collaboration models, such as its supply chain AI super-agent covering 15 scenarios, providing growth inspiration.

Factories can learn from Haier Smart Home's green practices in production and design to uncover commercial opportunities and e-commerce insights.

1. Production needs: AI technology enables 100% equipment connectivity, implementing AOI applications and automated testing to improve efficiency by 31%.

2. Design needs: Full-process optimization from product development to user usage, such as the water heater factory reducing energy consumption by 20%.

3. Commercial opportunities: Energy and cost savings (4.8% reduction) enhance market advantage and respond to green transition demands.

4. E-commerce insights: Digital advancement, including smart logistics and energy management, supports online channel development and operational efficiency.

Haier Smart Home's case inspires factories to advance digitalization through AI matrices for resource efficiency, opening new opportunities.

The industry's green development trend highlights opportunities for service providers to offer new technologies addressing client pain points.

1. Industry trend: Decarbonization and resource efficiency are becoming manufacturing core focuses, as demonstrated by Haier Smart Home's green factory selection.

2. Client pain points: Companies need energy conservation, such as high consumption issues; Haier reduced this by 20% using AI.

3. Solution: Supply chain AI super-agent covers 15 scenarios including demand forecasting and smart detection, providing end-to-end optimization.

4. New technology: AI applications in forecasting, scheduling, and energy management, like Zhengzhou factory's smart energy-saving cloud platform for customized solutions.

Haier Smart Home's practices inspire service providers to develop AI-driven tools, helping clients achieve clean production goals.

Marketplace operators must monitor smart manufacturing demands and green policies, with Haier Smart Home's practices offering operational insights.

1. Business demand: Growing corporate need for efficient, low-carbon production, as seen in Haier Smart Home's 20% energy reduction via AI integration.

2. Platform approach: Smart energy-saving cloud platforms offering user-customized solutions can serve as recruitment models to attract enterprises.

3. Operations management: AI agent matrices optimize processes from scheduling to logistics, improving efficiency by 31% and supporting platform operations.

4. Risk mitigation: Policy compliance, such as green factory standards, requires risk avoidance to ensure platform enterprises meet regulations.

Haier Smart Home's case demonstrates how platforms can integrate AI technology to embed green principles across the lifecycle and manage risks.

Haier Smart Home's case reveals new green industry trends and policy implications, driving business model innovation.

1. Industry trend: Deep integration of AI and green manufacturing defines sustainable development pathways, such as full-chain energy conservation practices.

2. New questions: How to achieve green practices across the entire product lifecycle—design, production, recycling—requires further exploration.

3. Policy suggestion: National green factory standards (e.g., energy decarbonization) can serve as industry norm references.

4. Business model: User-centric AI agent matrices drive innovation, covering 15 scenarios to enhance efficiency.

Haier Smart Home's practices show how companies can leverage digitalization to respond to green transitions under policy frameworks, providing research references.

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.

当下，绿色转型成为产业升级的核心命题之一，能否将低碳理念融入生产全流程，更是衡量企业未来竞争力的关键标尺。在此背景下，海尔智家以智慧家庭战略为牵引，将数字化、绿色化等能力深度融入工厂建设，扎实推进绿色生产实践，不断收获权威认可。

2月5日，工信部公示2025年度国家级绿色工厂名单。其中，海尔智家旗下海尔沈阳冰箱互联工厂、海尔合肥空调互联工厂、海尔郑州热水器互联工厂等11座工厂入选，成为本次入选数量最多的家电企业。

据悉，国家级绿色工厂的评选标准极为严苛。评选过程严格遵循相关政策要求，围绕能源低碳化、资源高效化、生产洁净化、产品绿色化、用地集约化等评价指标，并历经第三方评价、省级推荐、专家审核及公示等多重环节，从而确保入选工厂在绿色发展方面具备行业标杆水准。

此次海尔智家入选数量行业最多，背后离不开AI与制造全链路、全要素、全周期的深度融合。这种融合并非空谈，而是海尔智家以用户体验为核心，通过构建供应链AI超级智能体，打造出覆盖从需求预测、主计划、柔性排产到智能检测、智慧物流、能源管理等超过15个细分场景的AI智能体矩阵，将用户对绿色节能产品的需求，转化为生产线上的确定参数与最优解。

以海尔郑州热水器互联工厂为例，工厂通过AI智能体等技术的应用，实现了从产品生产到使用全流程的节能降耗。在制造环节，工厂内关键设备100%互联，不仅落地了20项AOI应用以及264个产品自动测试，还进一步实现了从产品开发设计到用户多能源智慧用水的转型升级，生产效率提升31%，整机成本降低4.8%，能源消耗降低20%。在使用环节，工厂依托智慧节能云平台面向用户定制节能方案，家庭用户节电24%、节水13%。

基于全链路的绿色制造实践，海尔智家正重新定义制造业可持续发展路径。未来，海尔智家将持续深化AI与绿色制造的深度融合，推动绿色理念贯穿产品设计、生产制造、回收再利用全生命周期，为用户打造更节能的产品和解决方案，以实际行动助力行业绿色发展。

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

国家级绿色工厂的评选标准有哪些？

国家级绿色工厂评选遵循严格标准，包括能源低碳化、资源高效化、生产洁净化、产品绿色化、用地集约化等评价指标，需经过第三方评价、省级推荐、专家审核及公示等多重环节。

海尔智家如何通过AI技术实现绿色制造？

海尔智家构建供应链AI超级智能体，覆盖需求预测、柔性排产、智能检测等15个细分场景，实现生产效率提升31%，能源消耗降低20%，家庭用户节电24%、节水13%。

海尔智家2025年入选了多少座国家级绿色工厂？

2025年2月5日，工信部公示的国家级绿色工厂名单中，海尔智家旗下11座工厂入选，包括沈阳冰箱、合肥空调、郑州热水器等互联工厂，成为入选数量最多的家电企业。

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2026-02-10 10:02:31