摘要:随着水污染问题日益严重,水质在线监测仪作为一种重要的水质监测手段逐渐受到关注。然而,传统的水质在线监测仪往往只能进行简单的监测,缺乏智能化和自适应性。为此,本文提出了一种基于知识图谱的水质在线监测仪智能化建模与云服务平台。该平台利用知识图谱技术对水质监测数据进行建模,实现对水质参数的自动识别和预测。同时,平台还提供了一种基于云计算的数据存储和分析服务,可以对大规模的水质监测数据进行处理和分析,为用户提供更全面的水质监测服务。

关键词:知识图谱;水质在线监测仪;智能化建模;云服务平台;水质监测

Abstract: With the increasingly serious water pollution problem, water quality online monitoring instruments as an important means of water quality monitoring gradually attracted attention. However, traditional water quality online monitoring instruments often can only carry out simple monitoring, lack of intelligence and adaptability. In this paper, a knowledge graph based water quality online monitoring instrument intelligent modeling and cloud service platform is proposed. The platform uses knowledge graph technology to model water quality monitoring data, and realizes automatic identification and prediction of water quality parameters. At the same time, the platform also provides a cloud computing based data storage and analysis service, which can process and analyze large-scale water quality monitoring data, and provide users with more comprehensive water quality monitoring services.

Keywords: knowledge graph; water quality online monitoring instrument; intelligent modeling; cloud service platform; water quality monitoring.


原文地址: http://www.cveoy.top/t/topic/8RV 著作权归作者所有。请勿转载和采集!

免费AI点我,无需注册和登录