建筑材料生产中灰渣处理的普遍性

O. Bereziuk, M. Lemeshev, Maksym Yu. Stadniichuk
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引用次数: 0

摘要

这项工作的研究对象是热能企业的废物,乌克兰每年的废物量为 800 万吨,占地面积增加了 2.2 万公顷。在欧盟国家,高达 84% 的此类废物被回收利用。因此,为了解决固体工业废物管理问题,从主要影响参数出发预测世界各国在建筑材料生产中灰渣处理的普及率是一项紧迫的科技任务。通过使用受版权证书保护的已开发软件,采用方框-威尔逊法,利用可旋转中心复合规划进行二阶实验规划,对世界不同国家建筑材料生产中灰加工的普遍性进行了研究。该研究的目的是确定一个回归模型,用于从主要影响参数预测世界不同国家建筑材料生产中灰加工的普及率。通过对主要影响参数(国家人口密度、人均国内生产总值、国家平均地理纬度)的回归分析,得出了预测建筑材料生产中灰加工普及率的回归依赖关系。结果表明,根据费雪检验法,可以认为所得到的回归模型的适当性假设是正确的,置信度为 95%。相关系数为 0.99999,这表明所得结果具有足够的可靠性。在制定建筑垃圾管理战略时,可以使用所获得的回归依赖关系。可以确定的是,在考虑的影响因素中,建筑材料生产中灰渣处理的普及率受人均国内生产总值的影响最大,受国家人口密度的影响最小。构建了目标函数--建筑材料生产中灰加工的普及率--的响应曲面及其在影响参数平面上的二维截面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PREVALENCE OF ASH PROCESSING IN THE MANUFACTURE OF BUILDING MATERIALS
The object of research in the work is the waste of thermal energy enterprises, the annual volume of which in Ukraine is 8 million tons, and the increase in occupied land areas is 22 thousand hectares. In EU countries, up to 84% of such waste is recycled. Therefore, forecasting the prevalence of ash processing in the manufacture of building materials in different countries of the world from the main parameters of influence in order to solve the problem of solid industrial waste management is an urgent scientific and technical task. A study of the prevalence of ash processing in the manufacture of building materials in different countries of the world was conducted by planning a second-order experiment using the Box-Wilson method using rotatable central composite planning using the developed software protected by a copyright certificate. The purpose of the study is to determine a regression model for predicting the prevalence of ash processing in the manufacture of building materials in different countries of the world from the main parameters of influence. A regression dependence of forecasting the prevalence of ash processing in the manufacture of building materials on the main parameters of influence was obtained: the country's population density, the value of the gross domestic product per capita, the average geographical latitude of the country. It was established that, according to Fisher's test, the hypothesis about the adequacy of the obtained regression model can be considered correct with 95% confidence. The correlation coefficient was 0.99999, which indicates sufficient reliability of the obtained results. The obtained regression dependence can be used during the development of a construction waste management strategy. It was established that among the factors of influence that were considered, the prevalence of ash processing in the manufacture of building materials is most affected by the value of the gross domestic product per capita, and the least by the population density of the country. Response surfaces of the target function - the prevalence of ash processing in the production of building materials and their two-dimensional sections in the planes of the influence parameters - were constructed.
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