德里和IIT Kanpur正在利用实时数据建立一个针对污染源的AI系统。 Delhi and IIT Kanpur are creating an AI system to target pollution sources using real-time data.

德里政府正在与IIT Kanpur合作,开发一个AI动力系统,用于超地方污染控制,利用实时传感器和卫星数据查明车辆、建筑灰尘、工业和生物量燃烧等来源。 The Delhi government is partnering with IIT Kanpur to develop an AI-powered system for hyperlocal pollution control, using real-time sensor and satellite data to identify sources like vehicles, construction dust, industries, and biomass burning. 这种以科学为基础的方法旨在取代全市平均数,在车辆、灰尘、工业和废物这四个方面采取有针对性的、以数据为驱动的干预措施。 This science-based approach aims to replace citywide averages with targeted, data-driven interventions across four fronts: vehicles, dust, industries, and waste. 执法行动包括扫除道路,使用防雾枪,清理废物,交通阻碍和重定向卡车. Enforcement actions include road sweeping, anti-smog gun use, waste removal, traffic challans, and truck rerouting. 一个共享的数据平台将协调多个机构,最后的实施细节有待正式讨论。 A shared data platform will coordinate multiple agencies, with final implementation details pending formal discussions.