水利水电低代码智能监测一体化平台设计  

Design of low-code intelligent monitoring integrated platform for water conservancy and hydropower

在线阅读下载全文

作  者:宋智豪 鞠军 SONG Zhihao;JU Jun(Guodian Nanjing Automation Co.,Ltd.,Nanjing 210061,China)

机构地区:[1]国电南京自动化股份有限公司,江苏南京210061

出  处:《水利信息化》2025年第2期77-81,共5页Water Resources Informatization

摘  要:传统水利水电平台在设计及开发过程中敏捷性不佳,且开发周期长,耗费人力物力较高,亟须设计开发一款针对水利水电一体化平台、涵盖大量预定义组件库的可视化编程平台。使用最新的前后端技术及符合特定需求的代码生成器开发低代码平台,并结合人工智能技术实现对水利水电智能监测一体化平台整体架构与主要功能的快速开发。相较传统的系统开发方式,低代码平台不仅拥有开发周期短、门槛低等特点,还能优化水电、水情、大坝等一体化平台子系统的开发流程,提高组件代码的复用性,提高水电站监测工作的效率与效果,为水电站监测系统发展提供参考。Traditional water conservancy and hydropower platforms poor agility in the design and development process,with long development cycles and high costs in terms of manpower and resources.Therefore,there was an urgent need to design and develop a visual programming platform with a large library of predefined components for an integrated water conservancy and hydropower platform.The latest front-end and back-end technologies,along with a code generator tailored to specific needs,were utilized to develop a low-code platform.Artificial intelligence technology was integrated to facilitate the rapid development of the overall architecture and core functionalities of the intelligent monitoring integrated platform for water conservancy and hydropower.Compared with traditional system development methods,the low-code platform not only shortens the development cycle and lowers the entry barrier,but also optimizes the development process of integrated platform subsystems such as hydropower,hydrological conditions,and dams.It enhances the reusability of component code,significantly improving the efficiency and effectiveness of hydropower station monitoring,and serves as a reference for the advancement of hydropower station monitoring systems.

关 键 词:低代码平台 智能监测 水利水电 可视化编程 一体化 

分 类 号:TP311.52[自动化与计算机技术—计算机软件与理论] TV212[自动化与计算机技术—计算机科学与技术]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象