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The residential public space in high level of intelligence for elderly home-based care
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Science & Technology Review | 2021, 39(8) : 52 - 59
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Science & Technology Review | 2021, 39(8): 52-59
Exclusive: Actively respond to the aging and promote the construction of livable cities
The residential public space in high level of intelligence for elderly home-based care
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ZHANG Yu1,2, FANG Jiaxi1,2
Affiliations
    1. School of Architecture, Harbin Institute of Technology, Harbin 150000, China;
    2. Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150000, China
Published: 2021-04-28 doi: 10.3981/j.issn.1000-7857.2021.08.006
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In China, the home-based care is the main mode of the elderly care, and there is a huge demand for the elderly residential space. The rapid development of information technology provides a technical support for the optimization of the elderly residential space, and the Smart Residence becomes an inevitable trend for the optimization and the upgrading of the elderly residential environment. This paper reviews the studies of the development of the elderly residential space, suggests that there are three trends of the intelligent development of the residential public space, with the construction strategy from three aspects:The smart maintenance to protect the health of the residents, the smart interaction to improve the life quality of the residents, and the smart ecology to create a friendly environment. Some case studies are made.
home-based care  /  residential space  /  Smart Environment  /  design of space
ZHANG Yu, FANG Jiaxi. The residential public space in high level of intelligence for elderly home-based care[J]. Science & Technology Review, 2021 , 39 (8) : 52 -59 . DOI: 10.3981/j.issn.1000-7857.2021.08.006
Year 2021 volume 39 Issue 8
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doi: 10.3981/j.issn.1000-7857.2021.08.006
  • Receive Date:2020-12-02
  • Online Date:2021-06-08
  • Published:2021-04-28
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  • Received:2020-12-02
  • Revised:2021-02-23
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https://castjournals.cast.org.cn/joweb/kjdb/EN/10.3981/j.issn.1000-7857.2021.08.006
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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