Title: Intelligent building BIM fusion data analysis framework based on speech recognition and sustainable computing

Authors: Zhiqiang Gao

Addresses: Art Department, Zhengzhou Railway Vocational and Technical College, Henan, China

Abstract: With the development of national economy, the level of science and technology, and the improvement of people's living standard, the amount of urban data expand at the geometric multiple growth rate, with more and complex buildings. Therefore, the traditional two-dimensional plane data is difficult to meet our data needs for such a complex urban system. BIM model has been applied to many fields, such as building engineering, model visualisation and indoor path planning. However, the BIM model has no description of geographic information, resulting in the limited application of the model in the space. The concept of smart city originated from 'Smart Earth'. 'Smart Earth' refers to the formation of internet of things and internet connection in various media such as hospitals, power grids, railways, etc., to achieve the integration of human society and physical systems. In practical application, speech recognition is usually combined with the natural language understanding, natural language generation and speech synthesis technology to provide a natural and smooth human-computer interaction platform based on speech. This paper constructs a BIM data fusion framework based on speech recognition model with sustainable computing. Experimental results show that this method can effectively analyse BIM data and obtain satisfactory result.

Keywords: speech recognition; signal processing; intelligent building; BIM; data fusion; smart city.

DOI: 10.1504/IJNVO.2021.117760

International Journal of Networking and Virtual Organisations, 2021 Vol.25 No.1, pp.83 - 101

Received: 05 Aug 2020
Accepted: 22 Feb 2021

Published online: 17 Sep 2021 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article