- Projektnummer: F 2542
- Projektdurchführung: Federal Institute for Occupational Safety and Health (BAuA)
- Status: Laufendes Projekt
- Geplantes Ende: 2024-04-01
Projektbeschreibung:
The German Workplace Ordinance (Arbeitsstättenverordnung, ArbStättV) and the Technical Rules for Workplaces (Arbeitsstättenregeln, ASR) must be observed in particular when planning, constructing and equipping work-places. In practice, errors and misunderstandings sometimes occur when doing so. A previous feasibility study (F2471) had shown how planning tools based on Building Information Modelling (BIM) can provide support. Building Information Modelling (BIM) is a working method for cooperation between the parties involved in construction, for example architects, civil engineers and construction companies. All information and data relevant to the life cycle of a building is recorded on the basis of digital models. This facilitates data management, transparent communication and data transfer.
One prerequisite for the consideration and correct implementation of requirements is a component-oriented and machine-executable preparation of workplace law. Using escape routes as an example, a multi-stage methodology for the machine-executable preparation of relevant specifications was developed and tested.
With the help of experts, knowledge bases were developed in terms of structure and content and component-oriented application rules were derived. Algorithms for digital application and modelling specifications for BIM models were formulated and tested with test applications. It was shown that user-friendly, machine-executable preparation of requirements and information from the formal structure of the workplace legislation is possible. This means that the information required for construction planning can now be processed precisely from the formal structure of the workplace law and transferred to the BIM. The results were compiled by the project contractor for further technical discussion.
The methodological approaches provide input for the topics of smart standards and smart regulation and can be transferred to other requirements of occupational health and safety law. Influencing factors include, for example, the availability and use of digital data models, relevant use cases, and a need for and fundamental openness to digital testing.