Currently, published risk analyses for drones refer mainly to commercial systems, use data from civil aviation, and are based on probabilistic approaches without suggesting an inclusive list of hazards and respective requirements. Within this context, this paper presents: (1) a set of safety requirements generated from the application of the Systems Theoretic Process Analysis (STPA) technique on a generic small drone system; (2) a gap analysis between the set of safety requirements and the ones met by 19 popular drone models; (3) the extent of the differences between those models, their manufacturers, and the countries of origin; (4) the association of drone prices with the extent they meet the requirements derived by STPA. The application of STPA resulted in 70 safety requirements distributed across the authority, manufacturer, end user, and drone automation levels. A gap analysis showed high dissimilarities regarding the extent to which the 19 drones meet the same safety requirements. Statistical results suggested a positive correlation between drone prices and the extent that the 19 drones studied herein met the safety requirements generated by STPA, and significant differences were identified among the manufacturers. This work complements the existing risk assessment frameworks for small drones, and contributes to the establishment of a commonly endorsed international risk analysis framework. Such a framework will support the development of a holistic and methodologically justified standardization scheme for small drone flights.
This paper presents an alternative way to use records from safety investigations as a means to support the evaluation of safety management (SM) aspects. Datasets from safety investigation reports and progress records of an aviation organization were analyzed with the scope of assessing safety management’s role, speed of safety communication, timeliness of safety investigation processes and realization of safety recommendations, and the extent of convergence among SM and investigation teams. The results suggested an interfering role of the safety department, severe delays in safety investigations, timely implementation of recommendations, quick dissemination of investigation reports to the end-users, and a low ratio of investigation team recommendations included in the final safety investigation reports. The results were attributed to non-scalable safety investigation procedures, ineffective resource management, lack of consistent bidirectional communication, lack of investigators’ awareness about the overall organizational context, and a weak commitment of other departments to the realization of safety recommendations. The set of metrics and the combination of quantitative and qualitative methods presented in this paper can support organizations to the transition towards a performance-based evaluation of safety management.
In this project, a consortium of Fraunhofer Innovation Platform (FIP-AM@UT), Connec2 and Walraven will investigate the possibility of two-way communication between production machines and an XR (eXtended Reality) platform. This communication can benefit the installation, commissioning and maintenance of specialty machines by connecting remote experts to local technicians and the machine in a virtual environment. This can reduce the necessity for travelling of remote experts (machine builders, programmers, process engineers), which leads to faster respond times and improves the well-being of these experts. Through the XR platform of Connec2, which is already used in the market for online meetings, presentations and collaboration, we can enable monitoring as well as (managed) control of a machine. For this we need to extend the production machine control with an interface that allows for remote connections. Special attention will be given to the safety and security aspects of the system. At all times, the machine should be safe for its direct users and surrounding. Things like loss of connectivity or network latency may not lead to dangerous situations. Another thread to the safety of the machine might be unauthorized access to the system. A secure system design will have to prevent this. The project not only aims to design such a system, but also to create a demonstrator of the development. Cooperation between local and remote users of a machine can be tested and validated at the shopfloor of the Advanced Manufacturing Center, a fieldlab for innovating digital production techniques.
