The indoor overall environmental comfort of part limited spaces is studied in this paper. The operative temperature, illumination, and noise intensity are used as objective parameters in order to evaluate the thermal, luminous, and acoustic environment. The thermal, luminous, and acoustic environment are investigated by using the subjective questionnaire in this experiment, and the function relation of the single physical parameter is established. Then, using the effective-function

more »

... evaluation carries on non-dimensional, weighting, and penalty substitution synthesis for the evaluation index of thermal, luminous, and acoustic environment, and establishes the evaluation model of the indoor overall environment. According to the experimental results and evaluation analysis, it is considered that the noise intensity and operative temperature have great influence on the indoor environment overall comfort and the illumination has less effect. Referring to the ISO7730 standard and combining it with the situation of our country, the indoor overall environment is divided into the zone of comfort. The predicted overall comfort vote (POCV), which is greater than or equal to −0.5 is the high comfort zone I. The area of −0.5 > POCV ≥ −1.0 is designated as low comfort zone II. It provides a certain basis for the evaluation of indoor overall environmental comfort. 2 of 16 of individual IEQ factors on overall satisfaction based on Kano's model [9, 10] . Three factors Basic Factors, Bonus Factors, and Proportional Factors were identified. Furthermore, the result of this paper was compared with other people's research, and the comparison showed a big difference on how IEQ factors affect overall satisfaction. Japan was the earlier country to study the comfort of high-speed trains. Main factors that influence comfort, as well as 27 physical and 7 non-physical items for comfort were investigated by Suzuki Hiroa [11] . Using the method of factor analysis and multiple regression calculation, the influencing factors were classified and weighted. At the present stage, the relative standard of comfort is mainly determined from 6 aspects of vibration, acoustic environment, and thermal environment, luminous environment, pressure wave, and air quality in China. Based on factor analysis and analytic hierarchy process (AHP), Chen Xiang [12] analyzed the factors that affect comfort and constructed the evaluation model from the level of physiological feelings and psychological feelings of passenger demand. Liu Lu [13] analyzed and evaluated the influencing factors of the overall comfort of high-speed trains. The weights of factors were determined. An evaluation formula of overall comfort was established by weighted sum method. Lin Sen [14] determined the weights of the factors affecting the comprehensive comfort of high-speed trains by Delphi method and AHP. The regression model of several influencing factors comfort was given by the least square method. The above references were from statistics and analysis to the formation of objective overall evaluation system using objective parameter measurement and subjective questionnaire survey. Factor analysis and AHP were applied to the weight calculation step by step. A multielement overall evaluation and calculation method was established and combined with fuzzy mathematics, multivariate statistical regression, least square method, weighted sum, and other multivariate statistical methods. These evaluation methods have certain applicability. The experimental method of references [1-4] is worth learning. But, because of the inconsistent evaluation environment, the parameters of the environment are different. Noise intensity, in particular, is higher in the flight carbine (train carriage) than in the office building. The research environment in references [7] [8] [9] [10] [11] [12] [13] [14] is consistent with this paper. However, references [7-10] calculation methods have a higher automation level while the complexity of evaluation increases correspondingly. The application rages of these methods is limited. The references [11] [12] [13] [14] mainly uses weighted sum method in comprehensive evaluation. This method allows the evaluation values between different environments to compensate each other, but will lead to the final evaluation is too large. On the basis of this view, the overall comfort of part limited spaces including thermal environment, luminous environment and acoustic environment was carried out. In this paper, the effective-function comprehensive evaluation method was used to analyze and study the factors which affected the indoor environment overall comfort. And established the overall comfort evaluation model of specific indoor environment. It will provide some references for the definition of specific environment overall comfort and the revision of relevant standards.