Lifecycle-based Modeling of Smart City Ecosystem
Smart city system development, operation and maintenance are very complex tasks and involve numerous stakeholders from different disciplines and domains. In most cases, these systems are at different phases of design, deployment and operation, i.e. at different phases of lifecycle. Hence, lifecycle management concepts are very important to better manage smart city development as a complete ecosystem across different phases of lifecycle.
This argument is supported by the findings of our smart city survey, where the information gathered from interviewed stakeholders proves the relevance of a lifecycle approach to address the identified nine concerns; non-alignment to strategic objectives, regulatory failure at different phases, delay in “time to market”, disjointed processes, difficult knowledge sharing and data traceability, inefficient and delayed exchange of data/ information, and inefficient and ineffective use of infrastructure.
To address the abovementioned concerns, this thesis proposes the application of lifecycle management concepts in smart cities, which requires the introduction of the time notion to smart city modeling by adding the lifecycle viewpoint as a new dimension to the multi-layered architecture.
The proposed smart city lifecycle-based approach consists of two components. First, the three-dimensional model that enables smart city developers to consider three viewpoints: Architecture Layers, Time (Lifecycle Phases), and Domains. Second, the interaction approach that enables integration between lifecycle management systems and IoT platforms.
This approach is validated through a use-case of Smart Parking System, proposed as part of the FIFA World Cup™ 2022. The proposed smart parking system is strategically aligned to Smart Qatar objectives and connects all relevant stakeholders across the different lifecycle phases.
To ensure semantic interoperability, the smart parking system uses the DATEX II standards for static and dynamic parking related data. Finally, the use-case focuses on the integration between lifecycle related data and IoT data through the interaction between Aras Innovator® lifecycle system (BoM construction, configuration management, etc.) and the O-MI/O-DF IoT Reference Implementation Platform (peer-to-peer publication and discovery of parking-related information in an aggregated form).
KEYWORDS : Smart City, IoT, Lifecycle Management, Modeling, Regulation, Ecosystem