The contribution of sensor-based equipment to life cycle assessment through improvement of data collection in the industry

Ingrao, Carlo; Evola, Rosalia Stella; Cantore, Paolo; Bernardi, Paola De; Borghi, Adriana Del; Vesce, Enrica; Beltramo, Riccardo

doi:10.1016/j.eiar.2021.106569

Cited by 20 publications

(3 citation statements)

References 57 publications

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“…The discussion of the attained results demonstrates that the proposed methodology facilitates an estimation, employing predictive models, of the carbon footprint linked to the designed assembly. This predictive assessment leverages, at maximum, primary data sourced from corporate databases or acquired through pertinent sensor equipment [ 45 ]. The predictive approach enables the integration of environmental considerations into project objectives.…”

Section: Resultsmentioning

confidence: 99%

Machine learning algorithm functional on environmental sustainability assessment in turbomachinery sector: Application on centrifugal compressors

Giraldi,

Barbieri,

Lombardozzi

et al. 2024

Heliyon

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Section: Resultsmentioning

confidence: 99%

Machine learning algorithm functional on environmental sustainability assessment in turbomachinery sector: Application on centrifugal compressors

Giraldi,

Barbieri,

Lombardozzi

et al. 2024

Heliyon

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“…Viewers can cross national boundaries and language barriers to create artistic resonance and a harmonious atmosphere of communication. Therefore, a landscape sculpture placed in a public space is not an independent work of art (Ingrao et al, 2021). It must interact with the public so that the public can participate, recognize, and respond to the aesthetic needs of society in the realm of public art.…”

Section: Principles Of Public Art Design For Sculpture In Commercial ...mentioning

confidence: 99%

Cloud-based Overall Design of Sculptural Public Art in Commercial Neighborhoods

Liu,

Zhong

2023

ICST Transactions on Scalable Information Systems

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INTRODUCTION: The shopping street has become the center of economic activities in the city. It is the most popular place in the city, the soul of the shopping street, the reflection of history, culture, folklore, geographical features, and even the city. With the rapid development of the commercial environment, the landscape sculpture on the shopping street is also developing rapidly, and its share in the city construction is getting bigger and bigger. Landscape sculpture is the key to the whole shopping street, so it is vital to study the design of sculpture public art in commercial neighborhoods. OBJECTIVES: The study of commercial neighborhood sculpture public art through the method of cloud computing in order to improve the overall design level of China's commercial neighborhood sculpture public art, to improve the integration of the development of China's architecture and fine arts field, and secondly, the overall design study of commercial neighborhood sculpture public art can also better improve the overall development of China's tourism industry, and to promote the further enhancement of tourism art. METHODS: The related commercial and commercial street sculpture theory is discussed. Secondly, the computer technology of cloud computing is further applied in the research of the overall design of the sculpture public art in the commercial street area in order to enhance the informatization level of the overall design of the sculpture public art in the commercial street area, to better adapt to the development of the Internet era. Lastly, the data related to the tourists is calculated using big data technology. RESULTS: Significant in studying shopping street landscape sculpture. Starting from the research and interpretation theory of small and medium-sized shopping street sculpture, it analyzes the positioning and development of Shaanxi's shopping street sculpture. The purpose is to synthesize the aesthetic characteristics of some commercial street landscape sculptures in Shaanxi Province. Then, the design principles and artistic values of small and medium commercial streetscape sculptures are summarized. In addition, problems and suggestions for optimizing commercial streetscape sculpture in Shaanxi Province and the future development strategy of commercial streetscape sculpture in China are also discussed. CONCLUSION: Cloud computing and other computer technologies can better enhance the overall design level of commercial streetscape sculpture public art and promote the combination of fine arts and construction industry and the development of tourism.

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“…Energy consumption is a key aspect in any industrial system, which is confirmed by the fact that the industrial sector represents 35-40% of the global final energy use [36]. The consumption of non-renewable energy is responsible for a set of environmental impacts that mainly include the exploitation of fossil resources like coal, oil and natural gas, and the emissions of greenhouse gases (GHGs) [31].…”

Section: Endpoint Lca Of Multiple Environmental Indicators Extended To Other Relevant Issuesmentioning

confidence: 99%

Life Cycle Sustainability Analysis of Resource Recovery from Waste Management Systems in a Circular Economy Perspective Key Findings from This Special Issue

et al. 2021

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The contribution of sensor-based equipment to life cycle assessment through improvement of data collection in the industry

Cited by 20 publications

References 57 publications

Machine learning algorithm functional on environmental sustainability assessment in turbomachinery sector: Application on centrifugal compressors

Machine learning algorithm functional on environmental sustainability assessment in turbomachinery sector: Application on centrifugal compressors

Cloud-based Overall Design of Sculptural Public Art in Commercial Neighborhoods

Life Cycle Sustainability Analysis of Resource Recovery from Waste Management Systems in a Circular Economy Perspective Key Findings from This Special Issue

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