Control Of Indoor Illumination Uniformity In Mixed Lighting Environment

In a long time, we use the traditional artificial light as the only way of lighting inthe building, such as on-off control, sound control, time-sharing control. However,non of these methods is combined with daylighting. Moreover, the lighting electricityis increasing in our country, which has accounted for one fifth of the social totalpower consumption. Therefore, in order to achieve the purpose of saving energy, it isnecessary to analyze the natural light on the premise of better lighting environment.Meanwhile, we study on the illumination uniformity of the indoor plane to make itcomfortable under the mixed lighting environment. The details are as follows:(1) We introduced the basic units of the indoor lighting and analyzed thecomposition of daylight——Direct light and sky light. Also, we gave the expressionof the general sky model according to the recommendation of CIE.(2) The simulation model is established in lighting simulation software. Thetraditional Lighting indicator, namely daylight factor, is analyzed, and the resultssuggest that it can not be the Evaluation Criteria of the buildings’ daylighting qualityDue to its limitations. Meanwhile, the new daylight indicators were proposed, whichincluding brightness distribution, glare, directionality. Also, the study on the NWbuilding and SW building were completed.(3) The indoor daylighting illuminations were analyzed and the calculationformulas were given. Meanwhile, the indoor flux transfer process had been studiedand obtained the illumination matrix which can calculate the illumination value at anyposition of the indoor plane.(4) The indoor illumination uniformity were analyzed by using an improvedPSO algorithm, In view of the nonlinear optimization problems of indoor workplaceillumination uniformity. The algorithm fitness function were given on the basis ofprinciples and experimental procedures of the algorithm. Finally, the simulationresults show the feasibility and accuracy of the algorithm.(5) The control of natural light was achieved bu using the adaptive fuzzy control to adjust the blinds angles of rotation. Meanwhile, the comparison of adaptive fuzzycontrol and general fuzzy control were done through simulation experiments, and theresult shows that adaptive fuzzy control has come to a better control effect. Thenthe luminance adjustment of indoor lighting was set by using differential evolutionalgorithm. Combination of artificial light and natural light were taken as way of theindoor mixed lighting. Finally, the purpose that making the illumination uniformityand comfortable of the indoor task environment were achieved by controlling thedaylighting and adjusting the artificial light.