Insight最新文献

This paper discusses the design of multi-usage systems able to perform various missions inside buildings, including inspection, digitization, monitoring of construction work, and evaluation of technical performances of the building. Designing such systems, carrying out various missions in different operational environments, is a complex task and requires adopting a well-defined engineering approach. A model-based systems engineering (MBSE) approach is proposed and applied to address the complexity of the indoor multi-usages system and to lead its development. The proposed method provides several complementary and comprehensive views of the system.

To improve design performance and achieve sustainability, organisations are looking to change their systems engineering practices. A model-based systems engineering (MBSE) methodology provides a framework for integrating, associating, orchestrating, and connecting executable and interactive models. It improves early verification and validation of system specifications and architectures, as well as communication and collaboration between project stakeholders. In this sense, MBSE has a truly systemic aspect. The variables to be considered when designing a support strategy are numerous and multidimensional. As a result, this situation can lead to contradictions in the choice of actions to be implemented, or to paradoxes that are likely to slow down the progress of the deployment project with the engineers. Currently, there is no method to support teams in charge of a methodological transformation (for example, in MBSE) to facilitate the adoption of this methodology. This article identifies the main challenges involved in developing such a methodology.

Technical specifications and intended functionalities are often gathered in documents that include requirements written in constrained natural language, that is, natural-like language with restricted syntax. In the automotive industry one challenge is the ability to produce safe vehicles, emphasizing the importance of safety by design. In the framework of case studies based on functions of autonomous vehicles, we introduce a systematic process for building formal models from automotive requirements written in constrained natural language, and for verifying them. By allowing formal verification at the earliest stages of the development cycle our aim is to avoid the costly discovery of errors at later stages.

Until recently, research into the sustainable design of interactive systems has primarily focused on the direct material impact of a system, through improving its energy efficiency and optimizing its lifecycle. Yet the way a system is designed and marketed often has wider repercussions, such as rebound effects, and systemic change in practices. These effects are harder to assess (and to anticipate) than the direct physical impact of the construction and use of the system itself. Current tools are unable to account for the complexity of these effects: the underlying causal mechanisms, their multi-level nature, their different temporalities, and the variety of their consequences (environmental and societal). This is why we are seeking to develop a specific methodology and tool, inspired by systemic design and system dynamics. These are intended for decision-makers and designers of interactive systems within systems of systems (for example, in the fields of agricultural robotics or public transportation). In this paper, we present this modeling approach and our prototype tool through the example of a second-hand clothing sales platform.