TECHNICAL WHITEPAPERS

技术白皮书Technical White Papers

让研究成果走出实验室Taking Research Beyond the Laboratory

技术白皮书是瀚思科技创新与发展协会面向全球科技从业者免费开放的行业研究平台。我们相信,知识的真正价值在于流动——好的研究不应该锁在付费墙后,更不应该淹没在过载的信息流中。每一份白皮书都来自一线研究者的扎实工作,也欢迎所有科技从业者下载、引用、批评、传播。Technical white papers are Hansi Association for Technology Innovation and Development industry research platform freely open to technology practitioners worldwide. We believe the true value of knowledge lies in circulation. Good research should not be locked behind paywalls, nor should it be drowned in overloaded information flows. Every white paper comes from solid work by frontline researchers, and all technology practitioners are welcome to download, cite, critique, and share it.

CATEGORIES

白皮书分类White Paper Categories

按领域:AI · 大数据 · 物联网 · 智能制造 · 绿色科技 · 前沿科技 | 按年份:2018-2025By field: AI · Big Data · IoT · Intelligent Manufacturing · Green Technology · Frontier Technology | By year: 2018-2025

WP-2025-01
前沿科技 · 量子计算Frontier Technology · Quantum Computing

《量子计算商用化时间表与挑战》Timeline and Challenges for the Commercialization of Quantum Computing

2025年3月 · 48页March 2025 · 48 pages

本白皮书系统梳理了量子计算从实验室走向商用的关键技术节点,涵盖量子比特数量、量子体积、量子误差校正、量子优势等核心指标的最新进展。报告特别分析了IBM、Google、IonQ、本源量子等代表性研究力量的技术路线差异,并对量子计算在密码破解、药物分子模拟、组合优化、机器学习四大应用场景的商用化时间表给出了具体预测。This white paper systematically reviews the key technical milestones for quantum computing as it moves from laboratory to commercialization, covering the latest progress in core indicators such as qubit count, quantum volume, quantum error correction, and quantum advantage. The report specifically analyzes technical route differences among representative research forces such as IBM, Google, IonQ, and Origin Quantum, and provides concrete forecasts for the commercialization timeline of quantum computing in four application scenarios: cryptographic cracking, drug molecule simulation, combinatorial optimization, and machine learning.

WP-2024-01
AI · 工业设计AI · Industrial Design

《生成式AI在工业设计中的应用前景》Application Prospects of Generative AI in Industrial Design

2024年6月 · 56页June 2024 · 56 pages

本白皮书聚焦生成式AI技术在工业设计领域的应用现状与未来潜力。报告系统分析了文本到图像、文本到3D、参数化设计自动化等技术路径,结合汽车造型、消费电子、建筑设计、工业产品包装等具体场景,给出了12个落地案例的详细解析。This white paper focuses on the current applications and future potential of generative AI in industrial design. The report systematically analyzes technical paths such as text-to-image, text-to-3D, and automated parametric design, and provides detailed analysis of 12 implementation cases across specific scenarios such as automotive styling, consumer electronics, architectural design, and industrial product packaging.

WP-2024-02
大数据 · 数据治理Big Data · Data Governance

《跨境数据流通治理框架研究》Research on Governance Frameworks for Cross-Border Data Flows

2024年9月 · 62页September 2024 · 62 pages

本白皮书针对全球数据要素跨境流通的治理难题,系统对比了欧盟GDPR、中国《数据出境安全评估办法》、新加坡《个人数据保护法》、美国《云法案》等代表性法律框架的核心条款与执行机制。报告结合金融、医疗、智能制造、跨境电商四大典型场景,分析了企业在跨境数据流通中面临的合规挑战,并提出了"分级分类管理+技术合规嵌入+多方治理协同"的三位一体治理框架。This white paper addresses governance challenges in the global cross-border flow of data elements, systematically comparing the core provisions and enforcement mechanisms of representative legal frameworks such as the EU GDPR, China Measures for Security Assessment of Data Exports, Singapore Personal Data Protection Act, and the U.S. CLOUD Act. Combining four typical scenarios including finance, healthcare, intelligent manufacturing, and cross-border e-commerce, the report analyzes compliance challenges enterprises face in cross-border data flows and proposes a three-in-one governance framework of classified and graded management, embedded technical compliance, and collaborative multi-party governance.

WP-2023-01
物联网 · 网络安全IoT · Cybersecurity

《工业物联网安全态势报告(2023)》Industrial IoT Security Situation Report (2023)

2023年12月 · 72页December 2023 · 72 pages

本白皮书发布工业物联网(IIoT)领域2023年度安全态势报告。报告基于CTRIT专家网络收集的全球250余起工业物联网安全事件样本,系统分析了攻击类型分布、受影响行业分布、攻击源分布与平均影响时长四大维度的数据。报告特别关注了OT/IT融合带来的新型攻击面、工业控制协议的脆弱性、供应链安全等关键议题,并提出了"零信任工业物联网"参考架构。This white paper releases the 2023 security situation report for the Industrial Internet of Things (IIoT). Based on more than 250 global industrial IoT security incident samples collected through the CTRIT expert network, the report systematically analyzes four dimensions of data: attack type distribution, affected industry distribution, attack source distribution, and average impact duration. The report pays special attention to new attack surfaces brought by OT/IT convergence, vulnerabilities in industrial control protocols, supply chain security, and other key issues, and proposes a Zero-Trust Industrial IoT reference architecture.

WP-2023-02
智能制造 · 数据标准Intelligent Manufacturing · Data Standards

《智能制造数据互操作规范》Data Interoperability Specification for Intelligent Manufacturing

2023年5月 · 85页May 2023 · 85 pages

本白皮书是HATID推动制造业数据治理标准化的重要成果。报告针对智能制造场景中不同设备、不同系统、不同企业之间的数据互操作难题,系统提出了一套涵盖数据格式、语义模型、传输协议、安全机制四个层次的互操作规范建议。报告还结合汽车制造、电子制造、装备制造三大典型行业,给出了规范应用的实施指南与试点案例。This white paper is an important achievement of HATID efforts to promote manufacturing data governance standardization. Addressing data interoperability challenges among different devices, systems, and enterprises in intelligent manufacturing scenarios, the report systematically proposes interoperability specification recommendations covering four levels: data formats, semantic models, transmission protocols, and security mechanisms. It also provides implementation guidance and pilot cases for applying the specification across three typical industries: automotive manufacturing, electronics manufacturing, and equipment manufacturing.

WP-2022-01
绿色科技 · 绿色计算Green Technology · Green Computing

《碳中和目标下的绿色计算技术路径》Green Computing Technology Paths under Carbon Neutrality Goals

2022年11月 · 54页November 2022 · 54 pages

本白皮书针对全球碳中和目标对IT基础设施提出的挑战,系统梳理了绿色计算的技术路径与产业实践。报告涵盖低功耗芯片设计、液冷数据中心、可再生能源数据中心、AI模型能效优化、算法-硬件协同设计五大技术方向,结合微软、Google、阿里巴巴、华为等代表性企业的实践案例。This white paper responds to the challenges that global carbon neutrality goals pose to IT infrastructure and systematically reviews the technical paths and industrial practices of green computing. The report covers five technical directions: low-power chip design, liquid-cooled data centers, renewable-energy data centers, AI model energy efficiency optimization, and algorithm-hardware co-design, combined with practice cases from representative enterprises such as Microsoft, Google, Alibaba, and Huawei.

邀请专家投稿技术白皮书Inviting Experts to Submit Technical White Papers

我们持续欢迎来自一线研究者的白皮书投稿。如果你正在进行某项前沿研究,并希望通过白皮书的形式向更广泛的同行分享你的成果,欢迎通过 contact@thehatid.com 与我们联系。We continuously welcome white paper submissions from frontline researchers. If you are conducting frontier research and hope to share your achievements with a broader peer community through a white paper, you are welcome to contact us at contact@thehatid.com.