Abstract
This research paper has explored in understanding the design thinking aspect of thermal insulation capacity of rooftops through application of big data and intelligent technologies. The challenges encountered by the technocrats for analyzing the aspects of thermal insulation under varied geothermal conditions are addressed in the research paper. Large volume of information on huge infrastructure can be evaluated through intelligent techniques automatically; which improve the quality of lives. This actionable knowledge unlocking the value; exploring from the raw data shall increase design efficiency and reduce design cost through a proper management system. The smart data developed through intelligent big data analytics with statistical and machine learning shall provide solution to problems. They can provide solution for various geothermal locations across the globe with multi-objective problem solving designs. This research study shall investigate into testing of construction materials through different kind of material mix with various permutation and combinations.
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Das, D., Rath, A.K., Bera, D.K., Bisoyi, B. (2019). Design Thinking on Geo Spatial Climate for Thermal Conditioning: Application of Big Data Through Intelligent Technology. In: Das, H., Barik, R., Dubey, H., Roy, D. (eds) Cloud Computing for Geospatial Big Data Analytics. Studies in Big Data, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-030-03359-0_12
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