Editorial

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
D. Clements–Croome
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引用次数: 0

Abstract

In earlier issues, I have written about the importance of transdisciplinarity. Different industries move at different paces and some develop technologies much more quickly than others. Cross-sector learning provides vital intersections of knowledge. So what will be the shape of things to come? In previous editorials I have stressed the importance of the Fourth Industrial Revolution but here is another view very closely related. According to Clive Cookson in the FT 4th January 2020, there are five primary scenarios from which other disciplines may learn. Cosmology and space science uses advanced instrumentation which may have lessons for environmental measurements on Earth. In buildings and architecture as we measure more we need to use the most reliable methods which produce useful data with built-in analytics. Artificial intelligence with deep learning programmes and self-generative algorithms can assist in planning, design and operating machines or buildings. Robots can already carry out many tasks such as systems maintenance for example. Digital assistants can relieve people of repetitive administrative work. Patterns in neuroscience are entering many fields including architecture. How connectivity works with billions of neurones to structure human intelligence is a wonder to behold. Imagine neurones as proxies for people then perhaps we can plan cities with ideal connectivity like a healthy brain. Medicine is a priority for Governments and attracts finance. The coronavirus has quickly been very quickly a source of considerable finance. Research in stem cell and gene therapy are just some examples which will lead to discoveries which will over spill into other fields. You can now shop with your DNA using a wrist band which can be used to identify healthy food choices to match your personal DNA profile. This could be a real progressive step to helping people to improve their health and wellbeing. Another area is the growing use of wearables to self-monitor health. Climate change has a chorus of urgency proclamations but actions towards the use of renewals and extinguishing reliance on fossil fuels is still too slow. At present renewables supply about 26% of the global power and this is expected to rise to 30% by 2024 (Towards a Sustainable Future by D. Elliott in Physics World, January 2020, page 19). Energy storage requires a breakthrough. Grid balancing and demand management are other areas under development. The energy mix still needs some inputs from nuclear. There are major research programmes in nuclear fusion which overcome many of the disadvantages of nuclear fission. Much more investment is needed if we are to meet the COP targets and the various zero-carbon deadlines mooted by different countries between 2030 and 2050. However, all these aspirations can fail if there is another global downturn. Human activities at various levels have accelerated climate change beyond the natural cycles of change observed over millennia. Governments, communities and individuals are all involved and have responsibilities if we are to meet net-zero carbon whether we speak of energy, waste or water production and consumptions. Human behaviour is difficult to model as pointed out by Lord Broers in the Winter-Spring 2020 issue of the Journal of the UK Parliamentary and Scientific Committee (All-Party Parliamentary Group) and needs chaos theory to model it because it is a nonlinear dynamic system. Papers on this were published in this journal in 2012. So many times we hear the phrase we must think holistically. An example here is the push to promote electric cars which will reduce but not eliminate pollution. However, if the generation of electricity is from fossil fuel power stations it will not be a zero-carbon solution but merely a reduction of carbon at the delivery end whilst increasing it at the source. The need for power stations driven by
编辑
在前几期中,我曾写过跨学科的重要性。不同的行业以不同的速度发展,有些行业的技术发展速度比其他行业快得多。跨部门学习提供了重要的知识交叉点。那么,未来的事情会是什么样子呢?在以前的社论中,我强调了第四次工业革命的重要性,但这里有另一种非常密切相关的观点。克莱夫·库克森在2020年1月4日的英国《金融时报》上表示,其他学科可以从五个主要场景中学习。宇宙学和空间科学使用先进的仪器,这些仪器可能对地球上的环境测量有借鉴意义。在建筑和建筑中,随着我们测量得越来越多,我们需要使用最可靠的方法,通过内置分析产生有用的数据。具有深度学习程序和自我生成算法的人工智能可以帮助规划、设计和操作机器或建筑。机器人已经可以执行许多任务,例如系统维护。数字助理可以减轻人们重复的行政工作。神经科学的模式正在进入包括建筑学在内的许多领域。连接是如何与数十亿神经元协同工作来构建人类智能的,这是一个奇迹。把神经元想象成人的代理人,然后也许我们可以像健康的大脑一样规划出具有理想连通性的城市。医药是各国政府的优先事项,吸引资金。新冠病毒很快成为大量资金的来源。干细胞和基因治疗的研究只是一些例子,这些发现将渗透到其他领域。你现在可以使用腕带携带你的DNA购物,腕带可以用来识别健康食品的选择,以匹配你的个人DNA档案。这可能是帮助人们改善健康和福祉的一个真正的进步步骤。另一个领域是越来越多地使用可穿戴设备来自我监测健康状况。气候变化有一系列紧急声明,但使用可再生能源和消除对化石燃料的依赖的行动仍然太慢。目前,可再生能源约占全球电力的26%,预计到2024年,这一比例将上升至30%(D.Elliott在《物理世界》上发表的《走向可持续未来》,2020年1月,第19页)。储能需要突破。电网平衡和需求管理是正在开发的其他领域。能源结构仍然需要核能的一些投入。核聚变方面有一些重大的研究计划,克服了核裂变的许多缺点。如果我们要实现缔约方会议的目标和不同国家在2030年至2050年期间提出的各种零碳最后期限,就需要更多的投资。然而,如果再次出现全球经济衰退,所有这些愿望都可能失败。人类在各个层面的活动加速了气候变化,超过了数千年来观察到的自然变化周期。如果我们要实现净零碳,无论是能源、废物还是水的生产和消费,政府、社区和个人都参与其中,都有责任。正如Broers勋爵在《英国议会和科学委员会杂志》2020年冬春季版(全党派议会小组)上指出的那样,人类行为很难建模,需要混沌理论来建模,因为它是一个非线性动态系统。这方面的论文于2012年发表在该杂志上。很多时候我们听到这样一句话,我们必须全面思考。这里的一个例子是推动电动汽车的推广,这将减少但不会消除污染。然而,如果发电来自化石燃料发电站,这将不是一个零碳解决方案,而只是在输送端减少碳,同时在源头增加碳。发电站的需求由
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来源期刊
Intelligent Buildings International
Intelligent Buildings International CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
4.60
自引率
4.30%
发文量
8
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