基于多源信息融合的核电施工扬尘预测控制算法  

Dust Prediction and Control Algorithm for Nuclear Power Plant Construction Based on Multi-Source Information Fusion

作　　者：郭仕然 王树昂 李超 王硕 GUO Shiran;WANG Shu’ang;LI Chao;WANG Shuo(Shanghai University of Electric Power,Shanghai 200090,China;China Nuclear Industry Fifth Construction Co.,Ltd.,Shanghai 201512,China)

机构地区：[1]上海电力大学,上海200090 [2]中国核工业第五建设有限公司,上海201512

出　　处：《上海电力大学学报》2024年第3期259-264,共6页Journal of Shanghai University of Electric Power

摘　　要：为解决在核电施工中雾炮机工作时间过长导致水电资源浪费的问题,以一体化物联网网关为基础,通过多源信息的采集与融合,提出了一种扬尘预测控制算法。该算法根据施工现场和环境情况,从扬尘产生和降尘措施两方面进行量化研究,建立了扬尘预测模型,对扬尘扩散进行预测,并根据预测结果控制雾炮机工作时长,以达到提前降尘和节能的目的。在核电现场进行了对比实验,结果表明,该算法在保障降尘效果基本不变的前提下,节约了60%左右的水电资源。In nuclear power plant construction,the prolonged operation of dust suppression cannons leads to the wastage of water and electricity resources.Leveraging an integrated Internet of Things(IoT)gateway,a dust prediction and control algorithm is designed through the collection and integration of information from multiple sources.This algorithm quantitatively studies dust generation and dust reduction measures based on the construction site and environmental conditions,establishing a dust prediction model.The model predicts dust dispersion and,based on the forecast results,controls the duration of operation for the dust suppression cannons to achieve the goals of early dust reduction and energy conservation.Comparative experiments conducted at the nuclear power site demonstrates that,under unchanged dust reduction effectiveness,the algorithm achieved an about 60%reduction in water and electricity consumption.

关 键 词：核电建筑工地 多源数据 物联网网关 扬尘预测控制算法 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]