The Construction Waste Recycling and Recycling Intelligent Network System based on User Big Data

Li Yang, Feng Si Ruo, You Yi
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引用次数: 1

Abstract

Based on user big data, this paper studies the intelligent network system for the recycling and recycling of construction waste. First, by using the building area estimation method and gray prediction model to estimate and predict the production of construction waste in China, combined with the current status of construction waste recycling at home and abroad, it is found China's construction waste recycling has problems such as weak environmental protection awareness, insufficient government support, imperfect laws and regulations, and imperfect management policies. Through the combination of theory and practice, put forward the road to develop the construction waste recycling industry, clarify the participants in the operation of the construction waste recycling industry, build a construction waste recycling industry operation model, and increase the recycling efficiency by 7.1%.
基于用户大数据的建筑垃圾回收利用智能网络系统
本文以用户大数据为基础,研究建筑垃圾回收再利用智能网络系统。首先,运用建筑面积估算法和灰色预测模型对中国建筑垃圾产生量进行估算和预测,结合国内外建筑垃圾回收现状,发现中国建筑垃圾回收存在环保意识淡薄、政府支持力度不够、法律法规不完善、管理政策不完善等问题。通过理论与实践相结合,提出了建筑垃圾再生利用产业发展道路,明确了建筑垃圾再生利用产业运行的参与者,构建了建筑垃圾再生利用产业运行模式,回收效率提升7.1%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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