清研精准工业 AI 现场
清研精准 · 工业 AI 基础设施 · 具身智能 · 测试验证 TSING STANDARD · INDUSTRIAL AI INFRASTRUCTURE · EMBODIED AI · VALIDATION

让 AI 真正理解 工业物理世界 Making AI Truly Understand the Industrial Physical World

深耕工业现场十年，构建从数据采集到智能决策的完整能力链路。服务新能源、制造、机器人等垂类场景，与行业伙伴共同推动工业 AI 的真实落地。 Ten years of deep industrial expertise, building a complete capability chain from data capture to intelligent decision-making. Serving new energy, manufacturing, robotics and other vertical scenarios — advancing real-world industrial AI deployment with our partners.

查看新能源方案New Energy Solutions → 了解平台能力Platform Capabilities
10 年工业 AI 深耕10 Years Industrial AI 100+ 大型制造业客户100+ Manufacturing Clients 覆盖国内主要汽车主机厂Covering Major Domestic Auto OEMs 获多家产业机构支持Backed by Multiple Industry Institutions
SCROLL
0年
工业 AI 深耕Years in Industrial AI
PB级
工业现场数据积累Industrial Field Data
0+
大型制造业客户Large Manufacturing Clients
我们在做什么What We Do

让 AI 在工业现场真正可用Making AI genuinely useful in industrial settings

工业现场的复杂性远超实验室环境。我们深入真实工位，构建从数据采集、处理、到模型训练与部署的完整链路，让 AI 能力真正扎根于工业物理世界。 Industrial environments are far more complex than lab settings. We go deep into real workstations, building a complete chain from data capture, processing, to model training and deployment — so AI capabilities can genuinely take root in the industrial physical world.

01

深入真实工业现场Deep in Real Industrial Sites

不依赖仿真数据，直接进入汽车、新能源、矿山、制造等真实工位，采集第一手工业数据。十年积累的现场工程能力，是我们最核心的资产。Not relying on simulation data — we go directly into real workstations across automotive, new energy, mining and manufacturing. Ten years of on-site engineering capability is our most fundamental asset.

02

构建可复用的数据资产Building Reusable Data Assets

将工业现场的原始数据，转化为可标注、可训练、可授权的结构化数据资产。支持跨场景、跨系统的能力迁移，让每一份数据发挥更大价值。Transforming raw industrial field data into structured, annotatable, trainable, and licensable data assets. Supporting cross-scenario and cross-system capability transfer — maximizing the value of every piece of data.

03

服务垂类场景的 AI 落地Serving AI Deployment in Vertical Scenarios

从新能源测试验证出发，向动力电池制造、汽车总装、矿山巡检、机器人具身智能等场景延伸，提供完整的 AI 能力建设服务。Starting from new energy testing and validation, extending to battery manufacturing, auto assembly, mining inspection, and robotics embodied AI — providing complete AI capability building services.

我们相信We Believe

真正有用的工业 AI，必须在真实工位上被验证。数据是连接物理世界与智能系统的桥梁。没有真实数据的模型，只是精致的猜测；有了工程化的数据积累，AI 才能从感知走向理解，从理解走向可靠的行动。 Truly useful industrial AI must be validated at real workstations. Data is the bridge between the physical world and intelligent systems. Models without real data are just sophisticated guesses. With engineered data accumulation, AI can move from perception to understanding, and from understanding to reliable action.

能力链路Capability Chain

从真实工位到智能决策的完整链路Complete chain from real workstations to intelligent decisions

我们构建了覆盖工业 AI 全流程的能力体系，每个环节都经过真实工业场景的验证与打磨。 We've built a capability system covering the full industrial AI workflow, with every step validated and refined through real industrial scenarios.

01

真实工业现场Real Industrial Sites

汽车 / 新能源 / 总装 / 矿山 / 电网 / 工程机械Automotive / New Energy / Assembly / Mining / Grid / Machinery

02

多模态数据采集Multimodal Data Capture

视觉 / 力觉 / 声学 / 电信号 / 多维感知融合Vision / Force / Acoustic / Electrical / Multi-dimensional sensing fusion

03

跨系统数据处理Cross-System Data Processing

标准化 / 标注 / 跨场景对齐 / 数据资产沉淀Standardization / Annotation / Cross-scenario alignment / Asset accumulation

04

数据资产层Data Asset Layer

结构化数据集 / 技能库 / 评测基准 / 可授权数据包Structured datasets / Skill library / Evaluation benchmarks / Licensable data packs

05

仿真与验证Simulation & Validation

场景复现 / 硬件在环 / 真机验证 / 策略评估Scenario replay / Hardware-in-loop / Real-machine validation / Strategy evaluation

06

工业认知系统Industrial Cognition System

感知理解 / 状态建模 / 异常推理 / 动作推演Perception / State modeling / Anomaly reasoning / Action inference

07

现场执行与反馈On-Site Execution & Feedback

策略部署 / 数据回流 / 持续迭代优化Strategy deployment / Data feedback / Continuous iteration

了解技术平台Explore Platform →
数据采集工具链Data Capture Toolchain
DEX-UMI 灵巧手数据采集系统
DEX-UMI

灵巧手数据采集Dexterous-Hand Capture

20+ 自由度 · 高精度力觉反馈20+ DoF · High-precision haptic

EGO 第一视角空间感知系统
EGO

第一视角空间感知Egocentric Spatial Perception

6目相机阵列 · 360°空间感知6-camera array · 360° sensing

FLEX-UMI 跨本体遥操作采集器
FLEX-UMI

跨本体遥操作采集Cross-Embodiment Teleoperation

轻量便携 · 跨本体通用Lightweight · Cross-embodiment

新能源智能化 · 已验证 · 50+ 客户交付New Energy AI · Validated · 50+ Clients Delivered

从新能源测试验证
出发的 AI 升级之路The AI upgrade journey
starting from new energy validation

清研精准在新能源领域深耕多年，形成了从三电测试、整车验证到数据资产沉淀的完整服务体系。这是我们最成熟的业务，也是向更多工业场景延伸的起点。Tsing Standard has spent years building deep expertise in new energy — forming a complete service system from powertrain testing and vehicle validation to data asset accumulation. This is our most mature business, and the starting point for extending into more industrial scenarios.

50+
头部新能源 / 制造企业
已完成交付Leading new energy /
manufacturing clients delivered
8年
新能源测试验证
深度工程积累New Energy Testing
Engineering Expertise
PB级
真实工况数据
持续积累中Real-World Data
Continuously Accumulating

三电系统测试验证Powertrain system testing

BMS / VCU / MCU / 电池包 / 储能系统BMS / VCU / MCU / Battery pack / ESS

仿真与硬件在环Simulation & hardware-in-loop

HIL / BIL / 策略验证 / 场景复现HIL / BIL / Strategy validation / Scenario replay

云边协同数据系统Cloud-edge data system

实时采集 · 云端处理 · 边缘部署Real-time capture · Cloud processing · Edge deployment

数据资产化路径Data assetization path

测试数据 → 结构化资产 → 模型训练 → 持续迭代Test data → Structured assets → Model training → Iteration

查看新能源方案View New Energy Solutions →
新能源三电测试系统 NEW ENERGY · VALIDATED · 50+ CLIENTS DELIVERED
BMS HIL 测试系统
BMS HIL TESTING

BMS 硬件在环测试平台BMS Hardware-in-Loop Platform

实时仿真 · 全工况验证 · 数据闭环Real-time simulation · Full-condition verification

电池包在环测试系统
PACK BIL TESTING

电池包在环测试系统Battery Pack-in-Loop System

真实电化学 · 极端工况 · 安全验证Real electrochemistry · Extreme conditions

行业方向Industry Directions

从新能源出发，向更多工业场景延伸Starting from new energy, extending to more industrial scenarios

我们在不同阶段深耕不同场景，以已验证的能力为基础，持续拓展工业 AI 的应用边界。 We focus on different scenarios at different stages, building on validated capabilities to continuously expand the application boundaries of industrial AI.

✓ 已验证 · 成熟交付
新能源智能化New Energy AI

50+ 客户交付 · PB级数据积累 · 从测试验证到 AI 升级的完整路径50+ clients delivered · PB-scale data · Complete path from testing to AI upgrade

▶ 深入拓展中
动力电池制造Battery Manufacturing

产线工位数据采集 · 质检智能化 · 工艺优化Production line data capture · Intelligent QC · Process optimization

汽车总装线Auto Assembly Line

总装全流程数字化 · 工位级 AI 能力建设Full assembly digitalization · Workstation-level AI capability

矿山巡检Mining Inspection

高危场景智能巡检 · 多模态感知 · 数据采集Intelligent inspection in high-risk environments · Multimodal sensing

机器人与具身智能Robotics & Embodied AI

真实场景数据 · 技能库建设 · 跨系统能力迁移Real-world data · Skill library · Cross-system capability transfer

○ 探索中 · 未来方向
通用工业智能General Industrial Intelligence

跨物理域能力迁移 · 统一工业 AI 底座Cross-physical-domain capability transfer · Unified industrial AI foundation

能源与电网Energy & Grid

预测性维护 · 巡检机器人 · 智能调度Predictive maintenance · Inspection robots · Intelligent scheduling

低空经济与智能装备Low-Altitude & Smart Equipment

无人系统 · 装备测试 · 跨系统能力迁移Unmanned systems · Equipment testing · Cross-system transfer

我们的积累Our Foundation

十年工程沉淀，学术与产业的深度融合Ten years of engineering depth, deep fusion of academia and industry

清研精准的能力来自真实工业现场的长期积累，以及学术研究与工程实践的持续融合。 Tsing Standard's capabilities come from long-term accumulation in real industrial settings, and the continuous fusion of academic research with engineering practice.

ENGINEERING

工业工程能力Industrial Engineering Capability

十年深耕工业现场，形成了从数据采集、系统集成到 AI 部署的完整工程能力。进入国内几乎全部汽车主机厂，100+ 大型制造业客户的实际项目验证。Ten years of deep industrial field work, forming complete engineering capabilities from data capture and system integration to AI deployment. Entered nearly all domestic auto OEMs, validated by 100+ large manufacturing clients.

DATA

数据资产积累Data Asset Accumulation

PB 级真实工业现场数据，覆盖新能源、汽车制造、矿山、工程机械等多个垂类场景。结构化数据资产支持模型训练、场景复现与能力迁移。PB-scale real industrial field data covering new energy, automotive manufacturing, mining, machinery and other vertical scenarios. Structured data assets supporting model training, scenario replay and capability transfer.

ACADEMIA

顶级学术基因Top Academic Lineage

创始人师从李克强院士（清华大学汽车工程系，中国工程院院士）。战略科学家卢志教授（清华×Stanford，国家高层次青年人才），在顶级学术期刊发表多篇研究成果。Founder trained under Academician Li Keqiang (Tsinghua Automotive Engineering, CAE). Strategic scientist Prof. Lu Zhi (Tsinghua×Stanford, National Young Talent), with publications in top academic journals.

ECOSYSTEM

产业生态合作Industry Ecosystem Collaboration

与头部整车厂、新能源企业、科技平台、能源机构等建立深度合作关系。获多家产业机构支持，共同推动工业 AI 在真实场景中的落地与标准建设。Deep collaboration with leading OEMs, new energy enterprises, tech platforms and energy institutions. Supported by multiple industry institutions, jointly advancing industrial AI deployment and standard-building in real scenarios.

了解团队与历程Meet the team →
合作伙伴Partners

与行业领先企业深度合作Deep collaboration with industry-leading enterprises

覆盖国内主要汽车主机厂、头部新能源企业及科技平台，在真实项目中持续验证与迭代我们的能力。 Covering major domestic auto OEMs, leading new energy enterprises and tech platforms — continuously validating and iterating our capabilities through real projects.

GEELY
吉利汽车Geely Auto
FAW
一汽集团FAW Group
BAIC
北汽集团BAIC Group
GREAT WALL
长城汽车Great Wall Motor
SHACMAN
陕汽集团Shaanxi Auto
NIO
蔚来汽车NIO
SHELL
壳牌中国Shell China
BAIDU
百度Baidu
MIRACLEPLUS
奇绩创坛MiraclePlus
50+
更多合作伙伴More Partners
50+
合作伙伴
覆盖整车/电池/检测Partners
OEM / Battery / Testing
10
年工业 AI
深耕积累Years Industrial AI
Deep Expertise
100+
大型制造业客户
真实项目验证Large Manufacturing Clients
Real Project Validated
PB级
工业现场数据
持续积累中Industrial Field Data
Continuously Accumulating
查看合作案例View Case Studies →

与清研精准一起，让 AI 在工业现场真正落地Together with Tsing Standard, make AI genuinely land in industrial settings

无论是新能源测试验证、工业制造 AI 升级，还是机器人具身智能数据，我们都期待与你探讨合作可能。Whether it's new energy testing, industrial manufacturing AI upgrade, or robotics embodied AI data — we look forward to exploring collaboration possibilities with you.

联系我们Contact Us → 查看行业方案View Solutions 加入我们Join Us