Reactive maintenance (RM) is a core service of the operation and maintenance (O&M) phase, the most prolonged and costly within the building lifecycle. RM is characterised by inefficient asset information and communication management, impacting critical FM problems and users’ experience. Building information modelling (BIM) and Internet of things (IoT) has enabled the development of digital twins, moving facilities management (FM) from a reactive approach towards a predictive one. Although previous studies have investigated the application of such technologies to FM, there is a lack of understanding on procedural issues related to its implementation in FM and RM. This research aimed to characterise strategies and decisions involved in prototyping a BIM and IoT-based smart-lighting maintenance system and identify its potential impacts on universities’ maintenance processes. The adopted research strategy and data collection methods involved prototyping, questionnaires, and interviews. The results show a high level of complexity in converging maintenance needs and technological abilities for FM and the importance of procedures and standards at organisational and industry levels. Moreover, it evidenced that the automation of functions and the centralisation of information enabled by BIM and IoT can optimise service provision, generate environmental and efficiency gains, and improve users’ safety and satisfaction.

xxii congresso da sociedade iberoamericana de gráfica digital 22th conference of the iberoamerican society of digital graphics 07|08|09|novembro|2018 iau usp | são carlos | sp br

The implementation of Building Information Modelling (BIM) in the Architecture, Engineering, Construction and Operations (AECO) industry requires multidisciplinary teams equipped with new technical and managerial skills. Professionals that are inexperienced or unfamiliar with the BIM design process face difficulties in transposing complex concepts into BIM modelling and coordination practices, despite governments, industry bodies, and academia's efforts. With this issue in mind, this article's objective is to present the teachinglearning strategies and tools adopted in a practical case of modelling an existing building on a BIM platform. In terms of method, a phenomenological approach has been taken to report on an exploratory didactic experience. The Cognitive Load Theory (CLT) was used to assess learning based on the authors' perceptions. The research has been structured into the following five stages: i. Literature Review; ii. Analysis of Brazilian and International BIM Standards and Guides; iii. Didactic exercise; iv. Experience Assessment; and v. Conclusions. The results reveal aspects of BIM processes that can be widely investigated in an academic environment, such as the BIM design and coordination process model, which can be explored as a tool in the BIM teaching-learning process. Also, difficulties related to teaching BIM management processes were identified, thus calling for different didactic approaches. The contributions made by the research come from reporting and analysing the process of learning complex BIM content from the perspective of inexperienced professionals. The work also contributes to the field through the BIM learning assessment proposal and the BIM process model resulted from the authors' practical experience.

The AEC industry has been facing a digital transformation for improving services involved in buildings lifecycle, fostered by two disruptive technologies: Building Information Modelling (BIM) and Internet of Things (IoT). However, the literature lacks discussions regarding applications and challenges of BIM and IoT systems in the AEC. This Systematic Literature Mapping addresses this gap through search, analysis, and classification of 75 journal article abstracts published between 2015 and 2019. An increase of articles over the period is observed, predominantly with technical and processual solutions for Construction and Operation and Maintenance. The interoperability of data is a key challenge to organizations.