...
首页> 外文期刊>Building and Environment >External validations of a non-obtrusive practical method to measure personal lighting conditions in offices
【24h】

External validations of a non-obtrusive practical method to measure personal lighting conditions in offices

机译:一种用于测量办公室个人照明条件的非干扰性实用方法的外部验证

获取原文
获取原文并翻译 | 示例
           

摘要

Health symptoms may be influenced, supported, or even controlled via a lighting control system which includes personal lighting conditions and personal factors (health characteristics). In order to be effective, this lighting control system requires both continuous information on the lighting and health conditions at the individual level. A new practical method to determine these continuous personal lighting conditions has been developed: location-bound estimations (LBE). This method was validated in the field in two case studies; comparisons were made between the LBE and location-bound measurements (LBM) in case study 1 and between the LBE and person-bound measurements (PBM) in case study 2. Overall, the relative deviation between the LBE and LBM was less than 15%, whereas the relative deviation between the LBE and PBM was 32.9% in the best-case situation. The relative deviation depends on inaccuracies in both methods (i.e., LBE and PBM) and needs further research. Adding more input parameters to the predictive model (LBE) will improve the accuracy of the LBE. The proposed first approach of the LBE is not without limitations; however, it is expected that this practical method will be a pragmatic approach of inserting personal lighting conditions into lighting control systems.
机译:健康症状可能会受到包括个人照明条件和个人因素(健康特征)的照明控制系统的影响,支持甚至控制。为了有效,此照明控制系统需要有关照明的连续信息以及各个级别的健康状况。已经开发出一种确定这些连续的个人照明条件的新实用方法:位置限制估计(LBE)。该方法已在两个案例研究中得到了验证。在案例研究1中,对LBE与位置限制测量值(LBM)之间进行了比较;在案例研究2中,对LBE与位置限制测量值(PBM)之间进行了比较。总体而言,LBE与LBM之间的相对偏差小于15% ,而在最佳情况下,LBE和PBM之间的相对偏差为32.9%。相对偏差取决于两种方法(即LBE和PBM)的不准确性,需要进一步研究。向预测模型(LBE)添加更多输入参数将提高LBE的准确性。 LBE提出的第一种方法并非没有局限性。然而,人们期望这种实用的方法将是一种实用的方法,可以将个人照明条件插入照明控制系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号