發(fā)布時間：2018-01-04 15:39

  本文關(guān)鍵詞：室內(nèi)照明評價中的數(shù)學建模方法研究　出處：《蘇州科技大學》2017年碩士論文　論文類型：學位論文

  更多相關(guān)文章： 智能照明 模糊綜合評價 云模型 數(shù)學建模方法

【摘要】：隨著人類文明的進步,社會的發(fā)展,人們對自己生活的質(zhì)量水平越來越重視,由于現(xiàn)代都市人大多數(shù)時間是在室內(nèi)度過的,因此室內(nèi)照明質(zhì)量成為了越來越多人們關(guān)注的焦點。目前,國內(nèi)外學者對室內(nèi)照明質(zhì)量的評價方法的研究發(fā)展十分迅速。其中最為常見的幾種室內(nèi)照明質(zhì)量評價方法包括主觀評價法、因素分析法、行為觀察法以及基于模糊綜合評價法。針對上述方法中存在的主觀性太強、評價過程中概念界限不明確的現(xiàn)象,本文采用將確定的隸屬函數(shù)和模糊綜合評價方法相結(jié)合,解決了原有隸屬度確定過程中人為的確定主觀性太強的缺陷。針對以往評價模型中模糊性和隨機描述較為困難,同時對評價結(jié)果描述不精細、不準確等問題,本文將云模型引入模糊綜合評價中,建立了基于云模型的模糊綜合評價模型,通過期望、熵和超熵對評價過程中的隨機性和模糊性進行量化描述,并將評價結(jié)果表示方法由點擴展到區(qū)間,使得評價結(jié)果的描述更客觀、更精細化,從而為室內(nèi)照明質(zhì)量評價提供了新的數(shù)學建模方法。在本文中,還將上述兩種評價方法分別應(yīng)用到了蘇州科技大學某教室內(nèi)的照明質(zhì)量中,通過進行實例驗證發(fā)現(xiàn)上述評價方法的有效性。改進后的模糊綜合評價模型因為選用了具體的隸屬度函數(shù)從而使評價結(jié)果相比較于以往的人為的主觀選擇隸屬度的方法更具有客觀性,使得評價結(jié)果更具有說服力;而基于云模型的模糊綜合評價方法,由于通過計算熵和超熵對評價結(jié)果的不確定范圍及不確定程度進行了生動形象的表達和展現(xiàn),使得最終的評價結(jié)果更加精細,同時,通過實例驗證以及對驗證后的結(jié)果進行MATLAB仿真,從圖像中更加直觀的展現(xiàn)了室內(nèi)照明質(zhì)量的真實情況.并由結(jié)果驗證了上述方法的普適性。
[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.
【學位授予單位】：蘇州科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：O159
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本文編號：1379023