he objective of the 'Protech' conference inaugurated today by the director of the Instituto de Fomento, Joaquín Gómez, and organised by the Centro Tecnológico de la Construcción (CTCON) and the Centro Europeo de Empresas e Innovación de Murcia (CEEIM), is to encourage small and medium-sized companies to innovate in technological products and services in the construction and real estate sector to boost their positioning in the market by entering Industry 4.0.
In this meeting, construction entrepreneurs have been able to learn how to use the latest generation technologies, linked to Big Data or the Building Information Modeling (BIM) system that is changing the way of building, designing properties and selling, as well as the way of leasing and managing real estate.
"Construction 4.0' brings added value and new business opportunities to a traditional sector. Using Industrial 4.0 tools, the sector could grow by 5 to 10 percent, with the improvement of its resources. To do this, it must become familiar with digital equipment and have specialised professionals, to achieve optimisation in the management and planning of companies," said the Info director.
During the celebration of 'Protech', attendees were shown cutting-edge technological proposals to facilitate the landing of SMEs in Construction 4.0, which were developed by Murcian technology companies such as Legaliboo, AI Talentum, Byprox, Londonderry Maps and Answare Tech, installed in the technological incubator of CEEIM or linked to it.
The initiatives presented by the Murcian technology companies focused on the online management of contracts, monitoring the health of buildings and their structures through sensors capable of detecting the appearance of cracks and building inclinations in advance, as well as an intelligent platform for managing energy efficiency. A content and task management platform was also unveiled to improve both efficiency and the digital transformation of the construction process.
Other approaches shown were related to the mass capture of geospatial data from a vehicle or mobile platform, to produce highly detailed mapping in a short space of time and inventories of features.
