The evaluation model of reconstruction effect of ancient villages under the influence of epidemic situation based on big data

Author:

Guo Chen1

Affiliation:

1. College of Fine Arts, Hubei Normal University, Huangshi, Hubei, China

Abstract

In rural construction, affected by covid-19, it leads to the collection and demand survey of basic information data of relevant interest groups. The specific situation of the transformation of ancient villages is also gradually increasing. However, due to the complexity of rural space, the dispersion of settlement space and the diversity of information demand of rural planning work, the data coverage is large, information acquisition is difficult, the use effect of data collection is not ideal, and there is no planning feedback mechanism. However, during the epidemic period, the staff could not carry out a series of reconstruction of ancient villages. At present, the data of village planning and construction and architectural design are complex, the needs of relevant interest groups are diversified, and regional planning is difficult. In this paper, the big data function is applied to the reconstruction of ancient villages in the epidemic period of covid-19.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference18 articles.

1. Reconstruction of paleoenvironmental conditions of ancient people habitation in the Togootyn Gol River valley (Eastern Mongolia);Bazarova;Quaternary International,2019

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3. Reconstruction of Mitochondrial Genome of Ancient Horse from Ashna-Pando Hillfort (Middle Volga);Mishchenko;Russian Journal of Genetics

4. Evaluating the effects of reconstruction of the damaged villages in the earthquake in Avaj, Iran;Einali;International Journal of Disaster Risk Reduction,2019

5. Highly Accurate Image Reconstruction for Multimodal Noise Suppression Using Semisupervised Learning on Big Data;Yin;Multimedia IEEE Transactions on,2018

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