在自然资源遥感监测领域使用各类AI技术框架进行AI技术开发时,存在开发成本高、开发效率低、开发流程与开发成果的部署杂乱无序、云资源调度困难等问题,阻碍了 AI 技术研发、创新与应用的进程.为此,基于容器、Kubernetes、Python等技术,开发了一套服务于遥感影像解译应用的AI服务云平台,提供镜像管理、数据集管理、模型管理、算法开发、模型训练、模型推断、部署发布等功能.研究和应用结果表明,该系统能节约成本,提高开发效率,实现AI资源的统一管理与灵活调度.
Design and Implementation of Natural Resource AI Service Platform
When using various types of AI technology frameworks for AI technology development and scientific research in the field of remote sensing monitoring of natural resources,there are problems such as high development costs,low development efficiency,chaotic deployment of development processes and results,and difficulty in the scheduling of cloud resources,which impede the process of AI technology research and development,innovation and application.Therefore,based on container,Kubernetes,Python and other technologies,a set of AI service cloud plat-form serving remote sensing image interpretation applications was developed,providing functions such as mirror management,dataset management,model management,algorithm development,model training,model inference,de-ployment and releaseThe application results show that the system can save costs,improve development efficiency,and achieve unified management and flexible scheduling of AI resources.The application results show that the system can save costs,improve development efficiency,and achieve unified management and flexible scheduling of AI resources.
AI cloud platformAI model developmentAI resource management
万方数据
维普
