Review of lighting deterioration, lighting quality, and lighting energy saving for paintings in museums

智能照明 照度 建筑工程 质量(理念) 绘画 LED灯 计算机科学 智能照明 能量(信号处理) 控制(管理) 基于图像的照明 工程类 人工智能 电气工程 光学 图像处理 视觉艺术 数学 图像(数学) 艺术 哲学 物理 认识论 统计
作者
Huijiao Tan,Rui Dang
出处
期刊:Building and Environment [Elsevier BV]
卷期号:208: 108608-108608 被引量:28
标识
DOI:10.1016/j.buildenv.2021.108608
摘要

There are needs to consider three requirements of reducing lighting deterioration, improving lighting quality and lighting energy saving for paintings, the high-light-sensitive exhibits in museums whose lighting environment is quite special and complex. Therefore, based on lighting parameters composed of the spectral power distribution of light sources, the spectral response of painting materials, the irradiance or illuminance, and the irradiation time, it is necessary to review researches on paintings in museums from the above three requirements, including the existing research contents, methods, and suggestions. Based on parameters concerning lighting deterioration, its mechanism and model have been partly clarified and established, following by applications of light sources aiming to better conserve paintings and needing further researches, namely, the lighting deterioration evaluation, the formulation of lighting quantity standards, and the spectral control and adjustment, etc. As for lighting quality, the needs of visitors for colour perception and visual comfort have been evaluated. However, it's urgent to study the model between the lighting quality and its related lighting parameters, which can optimize lighting applications above considering both needs by combining the models of lighting deterioration and lighting quality. The third aspect focuses on lighting energy saving whose strategies involve the replacement and control of energy-saving lamps, mainly for the LED and its spectral control and adjust system, as well as controlling the illuminance and irradiation time. While expanding the knowledge of paintings in museum lighting for researchers in related fields, this paper emphasizes some remaining issues that can be studied in the future.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
笑笑发布了新的文献求助10
1秒前
传奇3应助kk采纳,获得10
1秒前
YUAN发布了新的文献求助30
2秒前
周小慧完成签到,获得积分20
2秒前
orixero应助yixi采纳,获得10
3秒前
3秒前
业主小丹完成签到 ,获得积分10
4秒前
okayu发布了新的文献求助10
4秒前
赵123完成签到,获得积分10
4秒前
5秒前
许婕婕发布了新的文献求助10
5秒前
5秒前
flq发布了新的文献求助10
6秒前
Buster完成签到,获得积分10
6秒前
7秒前
夏微凉完成签到,获得积分10
7秒前
8秒前
8秒前
liguodong发布了新的文献求助10
8秒前
秋风应助denisewang采纳,获得10
8秒前
Owen应助YYY采纳,获得10
9秒前
业主小丹关注了科研通微信公众号
9秒前
10秒前
深情安青应助科研通管家采纳,获得10
10秒前
abyss发布了新的文献求助10
10秒前
简单海露应助科研通管家采纳,获得10
10秒前
李爱国应助科研通管家采纳,获得10
10秒前
小马甲应助科研通管家采纳,获得10
10秒前
orixero应助科研通管家采纳,获得10
10秒前
11秒前
852应助科研通管家采纳,获得10
11秒前
11秒前
黄呆呆完成签到,获得积分10
11秒前
Ava应助科研通管家采纳,获得10
11秒前
11秒前
李健应助科研通管家采纳,获得10
11秒前
大米粒应助科研通管家采纳,获得10
11秒前
乐乐应助科研通管家采纳,获得10
11秒前
星辰大海应助科研通管家采纳,获得10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7757562
求助须知:如何正确求助?哪些是违规求助? 9303944
关于积分的说明 20277486
捐赠科研通 7341240
什么是DOI,文献DOI怎么找? 3311996
关于科研通互助平台的介绍 2462703
邀请新用户注册赠送积分活动 2325724