室内照明评价中的数学建模方法研究

发布时间：2018-01-04 15:39

  本文关键词：室内照明评价中的数学建模方法研究　出处：《苏州科技大学》2017年硕士论文　论文类型：学位论文

  更多相关文章： 智能照明 模糊综合评价 云模型 数学建模方法

【摘要】：随着人类文明的进步,社会的发展,人们对自己生活的质量水平越来越重视,由于现代都市人大多数时间是在室内度过的,因此室内照明质量成为了越来越多人们关注的焦点。目前,国内外学者对室内照明质量的评价方法的研究发展十分迅速。其中最为常见的几种室内照明质量评价方法包括主观评价法、因素分析法、行为观察法以及基于模糊综合评价法。针对上述方法中存在的主观性太强、评价过程中概念界限不明确的现象,本文采用将确定的隶属函数和模糊综合评价方法相结合,解决了原有隶属度确定过程中人为的确定主观性太强的缺陷。针对以往评价模型中模糊性和随机描述较为困难,同时对评价结果描述不精细、不准确等问题,本文将云模型引入模糊综合评价中,建立了基于云模型的模糊综合评价模型,通过期望、熵和超熵对评价过程中的随机性和模糊性进行量化描述,并将评价结果表示方法由点扩展到区间,使得评价结果的描述更客观、更精细化,从而为室内照明质量评价提供了新的数学建模方法。在本文中,还将上述两种评价方法分别应用到了苏州科技大学某教室内的照明质量中,通过进行实例验证发现上述评价方法的有效性。改进后的模糊综合评价模型因为选用了具体的隶属度函数从而使评价结果相比较于以往的人为的主观选择隶属度的方法更具有客观性,使得评价结果更具有说服力;而基于云模型的模糊综合评价方法,由于通过计算熵和超熵对评价结果的不确定范围及不确定程度进行了生动形象的表达和展现,使得最终的评价结果更加精细,同时,通过实例验证以及对验证后的结果进行MATLAB仿真,从图像中更加直观的展现了室内照明质量的真实情况.并由结果验证了上述方法的普适性。
[Abstract]:With the progress of human civilization and the development of society, people pay more and more attention to the quality of their lives, because most of the time of modern urban people is spent indoors. Therefore, the quality of indoor lighting has become the focus of more and more people. Domestic and foreign scholars of indoor lighting quality evaluation method research and development is very rapid. The most common indoor lighting quality evaluation methods include subjective evaluation method, factor analysis method. Behavior observation method and fuzzy comprehensive evaluation method. Aiming at the phenomenon that the subjectivity in the above methods is too strong and the concept boundary is not clear in the evaluation process. This paper combines the determined membership function with the fuzzy comprehensive evaluation method. It solves the defects that the subjective determination of the original membership degree is too subjective. It is difficult to describe the fuzzy and random evaluation model in the past. At the same time, the evaluation results are not precise and accurate. In this paper, the cloud model is introduced into the fuzzy comprehensive evaluation, and the fuzzy comprehensive evaluation model based on the cloud model is established. The randomness and fuzziness of the evaluation process are quantitatively described by expectation, entropy and hyperentropy. And the evaluation result representation method is extended from the point to the interval, which makes the description of evaluation results more objective and more refined, thus providing a new mathematical modeling method for indoor lighting quality evaluation. The above two evaluation methods are applied to the lighting quality in a classroom of Suzhou University of Science and Technology. The effectiveness of the above evaluation method is verified by a practical example. The improved fuzzy comprehensive evaluation model makes the evaluation result compare with the previous subjective selection of membership degree because of the selection of specific membership function. Is more objective. Make the evaluation results more convincing; The fuzzy comprehensive evaluation method based on cloud model is vividly expressed and displayed by calculating entropy and hyperentropy to the uncertain range and degree of uncertainty of evaluation results. Make the final evaluation results more refined, at the same time, through an example to verify and verify the results of the MATLAB simulation. The real situation of indoor lighting quality is shown more intuitively from the image, and the universality of the above method is verified by the results.
【学位授予单位】：苏州科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：O159
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本文编号：1379023