Project Description

The design of noise protection and sound insulation, as well as the interior sound design in the premises of the buildings are combined by the architectural acoustic area. In accordance with the requirements laid down in the legislation and national and international standards, the design is carried out on the basis of the use function of the premises, following increasingly complex requirements and using increasingly complex design methods. In the course of these tasks, it is necessary to integrate building acoustics, room acoustics, mechanical and electroacoustic aspects, which also affect many architectural sectors. This requires an increasing number of engineering and computing capacities, while the increasing demand is only followed slowly by economic conditions, so the new technical regulatory elements that have recently emerged represent considerably more design tasks. In addition to the problems related to the accuracy and reliability of scaling methods based on traditional statistical formulas, this situation is further complicated by the different penetration of digitalisation among designers, and more accurate planning methods are usually more difficult and more demanding.

Within the framework of the project, we aim to develop a new, complex acoustic design and measurement system that, with its integrated measurement and design capabilities, enables the joint management of all acoustic disciplines, and through artificial intelligence methods and machine learning, is able to replace the demanding work parts of design tasks, facilitate adaptation to international regulatory conditions and offer solutions to a significant part of digitalization difficulties with its modernity.

We intend to reduce the planning time, condition assessment and attributable costs by creating an integrated architectural acoustic measurement and planning system based on machine learning to be established within the framework of the project, by automating the processing of repetitive elements, extraordinary amounts of data, methods and iteration steps. In this problem, artificial intelligence-driven design can lead to extraordinary efficiency gains.

Events

22.07.2021 – The National Research, Development and Innovation Office made a non-refundable support decision within the framework of the Support for Market R&D&I activities programme regarding Entel Kft.’s project proposal. The project will be implemented through 2021-2023, the amount of domestic funding awarded is HUF 125,977,655, and the total cost of the project will be HUF 182,457,784.