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SMALL-SCALE AIR QUALITY INDEX PREDICTION METHOD AND SYSTEM FOR CITY

机译:城市小规模空气质量指标预测方法及系统

摘要

The present invention discloses a small-scale air quality index prediction method and system for a city. The method comprises: firstly dividing a city area into a grid of multiple locations to undergo prediction; acquiring historical data related to each model and creating the following models on the basis of the historical data: a time prediction model respectively corresponding to a prediction relating to a current moment and predictions relating to each moment in a future period of time, a spatial prediction model for performing air quality predictions with respect to locations at specified coordinates, a dynamic prediction model for characterizing a relationship of traffic data and data of a geographical location of interest to an air quality index, and an indoor and outdoor prediction model for characterizing a relationship of an indoor air quality index to an outdoor air quality index; when performing prediction, performing coordinated training on the created time prediction model, the spatial prediction model, the dynamic prediction model and the indoor and outdoor prediction model with respect to any one of the locations to undergo prediction at any real-time moment, so as to merge prediction results of all of the models and obtain air quality index predicted values of each of the locations to undergo prediction at a corresponding current moment, and at each moment in the future period of time.
机译:本发明公开了一种城市小规模空气质量指标预测方法和系统。该方法包括:首先将城市区域划分为多个位置的网格以进行预测;获取与每个模型相关的历史数据,并基于该历史数据创建以下模型:分别对应于当前时刻的预测和未来一段时间内每个时刻的预测的时间预测模型,空间预测用于对指定坐标处的位置执行空气质量预测的模型,用于表征交通数据和感兴趣的地理位置的数据与空气质量指数之间的关系的动态预测模型以及用于表征关系的室内和室外预测模型室内空气质量指数与室外空气质量指数的关系;在进行预测时,针对在任何实时时刻进行预测的任何位置,对所创建的时间预测模型,空间预测模型,动态预测模型以及室内外预测模型进行协调训练,从而合并所有模型的预测结果,并获得每个位置的空气质量指数预测值,以在相应的当前时刻以及未来一段时间内的每个时刻进行预测。

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