Semantic Low-code Programming Tools for Edge Intelligence

用于边缘智能的语义低代码编程工具

• 批准号: 10056403
• 金额: $ 61.35万
• 依托单位: UNIVERSITY OF OXFORD
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10056403
• 关键词: Semantic; Low; code; Programming; Tools

The objective of the SMARTEDGE project is to enable the dynamic integration of decentralised edge intelligence at runtime while ensuring reliability, security, privacy and scalability. We will achieve this by enabling a semantic-based interplay of the edge devices of such systems via a cross-layer toolchain that facilitates the seamless and real-time discoverability and composability of autonomous intelligence swarm. Hence, an application can be freely built by distributing the processing, data fusion and control across heterogeneous sensors, devices and edges with ubiquitous low-latency connectivity. The goal of this project is to develop a SMARTEDGE solution with a low-code tool programming environment with various tools: (1) Continuous Semantic Integration (CSI); (2) Dynamic Swarm Network (DSW); and (3) Low-code Toolchain for Edge Intelligence. CSI allows the SMARTEDGE solution to interact with devices according to a (i) standardized semantic interface, via a (ii) continuous conversion process based on declarative mappings and scalable from edge to cloud, and (iii) providing a declarative approach for the creation and orchestration of apps based on swarm intelligence. DSW provides (i) automatic discovery and dynamic network swarm formation in near real time, (ii) hardware-accelerated in-network operations for context-aware swarm networking, and (iii) embedded network security. The low-code tool chain provides (i) semantic-driven multimodal stream fusion for Edge devices; (ii) swarm elasticity via Edge-Cloud Interplay; (iii) adaptive coordination and optimization; (iv) cross-layer toolchain for Device-Edge-Cloud Continuum. The SMARTEDGE solution will be comprehensively demonstrated over four application areas: automotive, city, factory and health via the strong collaboration of eight industrial partners, Dell, Siemens, Bosch, IMC, Conveq, Cefiel and NVIDIA with eight research institutes.

SMARTEDGE项目的目标是在运行时实现分散的边缘智能的动态集成，同时确保可靠性，安全性，隐私性和可扩展性。我们将通过跨层工具链实现此类系统的边缘设备之间基于语义的相互作用来实现这一目标，该工具链促进了自主智能群的无缝和实时可扩展性和可组合性。因此，可以通过将处理、数据融合和控制分布在异构传感器、设备和边缘上，利用无处不在的低延迟连接来自由构建应用程序。该项目的目标是开发一个具有低代码工具编程环境的SMARTEDGE解决方案，该环境具有各种工具：（1）连续语义集成（CSI）;（2）动态群网络（DSW）;和（3）边缘智能的低代码工具链。CSI允许SMARTEDGE解决方案根据（i）标准化语义接口与设备交互，通过（ii）基于声明性映射的连续转换过程，并可从边缘扩展到云，以及（iii）提供基于群体智能的应用程序创建和编排的声明性方法。DSW提供（i）近乎真实的自动发现和动态网络群形成，（ii）用于上下文感知群网络的硬件加速网内操作，以及（iii）嵌入式网络安全。低代码工具链提供（i）用于边缘设备的语义驱动的多模态流融合;（ii）通过边缘-云交互的群弹性;（iii）自适应协调和优化;（iv）用于设备-边缘-云连续体的跨层工具链。通过戴尔、西门子、博世、IMC、Conveq、Cefiel和NVIDIA等八家工业合作伙伴与八家研究机构的密切合作，SMARTEDGE解决方案将在汽车、城市、工厂和健康等四个应用领域得到全面展示。