香港国际性非营利学术组织 · 聚焦智能工程与科技领域Hong Kong-based international non-profit academic organization focused on intelligent engineering and technology
2026智能工程与科技发展白皮书

2026智能工程与科技发展白皮书 2026 White Paper on Intelligent Engineering and Technology Development

围绕智能工程与科技领域的年度发展态势、核心技术路线、工程应用评价和学术协作机制进行系统梳理,为研究人员、工程技术人员和行业组织提供趋势参考。A structured review of annual development trends, core technical pathways, engineering application evaluation, and academic collaboration mechanisms in intelligent engineering and technology.

人工智能工程应用治理白皮书

人工智能工程应用治理白皮书 White Paper on Governance of Artificial Intelligence Engineering Applications

聚焦人工智能工程化过程中的治理问题,讨论模型应用边界、数据合规、系统安全、专家复核和持续监测等机制。Focused on governance in AI engineering applications, including model boundaries, data compliance, system safety, expert review, and continuous monitoring.

工业互联网与智能制造融合发展白皮书

工业互联网与智能制造融合发展白皮书 White Paper on the Integrated Development of Industrial IoT and Intelligent Manufacturing

分析工业互联网与智能制造融合中的数据采集、设备互联、生产协同和质量管理问题,强调以工程闭环验证技术价值。An analysis of data acquisition, equipment connectivity, production coordination, and quality management in the integration of industrial IoT and intelligent manufacturing.

自动化系统可靠性与工程验证白皮书

自动化系统可靠性与工程验证白皮书 White Paper on Reliability and Engineering Verification of Automation Systems

讨论自动化系统从方案设计到现场运行的可靠性验证路径,关注稳定性、异常处置、人机协作和长期维护。A review of reliability verification pathways for automation systems from solution design to on-site operation, with attention to stability, exception handling, human-machine collaboration, and maintenance.

数字孪生驱动的工程流程优化白皮书

数字孪生驱动的工程流程优化白皮书 White Paper on Engineering Process Optimization Driven by Digital Twins

围绕数字孪生在工程流程优化中的应用,讨论模型建设、仿真验证、方案比较和持续改进机制。A study of digital twins in engineering process optimization, covering model construction, simulation validation, solution comparison, and continuous improvement mechanisms.

智能工程人才发展与学术协作白皮书

智能工程人才发展与学术协作白皮书 White Paper on Talent Development and Academic Collaboration in Intelligent Engineering

关注智能工程领域人才能力结构、跨机构学术协作、专家评议机制和青年研究者发展路径。Focused on talent capabilities, cross-institutional academic collaboration, expert review mechanisms, and development pathways for young researchers in intelligent engineering.