ABSTRACT
In the Federal Republic of Germany, around 70% of all construction work in the area of building construction is carried out on existing buildings. This large amount emphasises the need to consider the lifecycle-oriented maintenance management of buildings. Using digital methods and technologies, the existing, mostly manual processes can be optimized and automated. In addition, there is a need to integrate sustainability aspects into the decision-making process for maintenance tasks. In this technical article, a holistic method for resource-efficient building maintenance is developed by using the Building-Information-Modeling (BIM) method in combination with the integration of sustainability aspects. Thereby, methods of laser scanning are combined with the BIM method, digital maintenance and AR technology, resulting in a partially automated and interoperable workflow. In the first step, the status quo of digital maintenance at reinforced concrete structures is analyzed in a literature review. The following step is to define the process-related and data-technical fundamentals. Based on this, data acquisition is carried out using laser scanning methods and modern diagnostic procedures as well as partially automated data processing to create a refined BIM model. A digital model with integrated diagnostic data is developed from the recorded data and a comparison of different maintenance scenarios is carried out using intelligent algorithms in the context of costs, time and CO2 emissions. For further transparent use of the digital as-built model in operational maintenance management, the model is embedded in an augmented reality environment and a common data environment. The process steps are validated using a real demonstrator at the end. The result of the article shows a partially automated process chain and decision support for resource-efficient maintenance management of reinforced concrete structures.
