摘要
人工智能技术(AI)具有高度的自学习、自适应和自组织等特性,目前已被应用于环境领域中,成为环境监控和治理的新型管理手段。基于AI的代理监测技术、监测网络设计以及动态巡检规划,为水环境监测和水设施检测提供了便利;数据驱动的水环境模型相较于传统模型部署更加快捷高效,能准确把握水质变异的动态。AI支持的专家系统能有效整合利用环境大数据信息,及时确定污染事件;污水的源头管控是个多目标规划问题,通常使用优化算法进行方案研判。AI对污水处理过程和运行环节进行建模,预测并优化污水处理效率和成本。水环境管控作为一项系统工程,按照“厂、网、河、源”一体化的理念采取系统性治理思路。AI在这类复杂系统中的优势较之传统方法更加显著,有助于实现对水环境的精细化、综合化管控。
Artificial Intelligence technology(AI)has a high degree of self-learning,self-adaptation and self-organization characteristics,has been applied in the environmental field,become a new management means of environmental monitoring and governance.AI-based agent monitoring technology,monitoring network design and dynamic inspection planning provide convenience for water environment monitoring and water facility inspection;Compared with traditional models,data-driven water environment models are faster and more efficient,and can accurately grasp the dynamics of water quality variation.The AI-supported expert system can effectively integrate and utilize environmental big data information to determine pollution events in time;The source control of sewage is a multi-objective programming problem,which usually uses optimization algorithm to study and judge the scheme.AI models wastewater treatment processes and operations to predict and optimize wastewater treatment efficiency and costs.Water environment control,as a systematic project,adopts a systematic governance idea in accordance with the integration concept of“plant,network,river and source”.Compared with traditional methods,AI has more obvious advantages in such complex systems,which is conducive to the realization of detailed and comprehensive control of water environment.
作者
李艳琴
Li Yanqin(Shandong Huantai Environmental Protection Technology Development Co.,Ltd.,Tai’an 271000,China)
出处
《皮革制作与环保科技》
2023年第15期112-114,共3页
Leather Manufacture and Environmental Technology
关键词
水污染
人工智能
环境领域
water pollution
artifi cial intelligence
environmental fi eld
