Purpose Currently, building information modelling (BIM) is largely seen as a 3D model, not as an information model or information management tool. This wrong perception of BIM and low interest in 3D asset management (AM) is one of the major reasons for the slow adoption by clients in the architectural, engineering and construction (AEC) industry. The purpose of this paper is to identify the techniques and strategies of streamlining AM systems for BIM-based integration, and how the information is captured from physical assets towards BIM-based integration for clients to derive value from BIM investments. Design/methodology/approach A qualitative case study strategy was used to study the strategic implementation process of integrating BIM with AM systems and the business value of BIM in AM by a large asset owner in the UK. Findings The paper identifies key strategies in the adoption of BIM-based processes by an asset owner, the implementation process, the challenges and the benefits attained. Several barriers were identified as the challenges of adopting BIM-based processes in AM: complexity and cost associated with BIM; irrelevance of 3D geometric data in AM processes; nature of asset ownership structure; managing the asset handover process; managing change within the organisation. Organisations will have to consider the following issues in streaming asset information with BIM: the development for a clear strategy prior to adoption; connecting the strategy to the business goals; and conducting the discovery exercise to identify organisational information needs. Originality/value The research addresses a significant gap in the development of techniques and strategies for asset owners to streamline BIM with AM systems and derive business value from such integration. The research context is a case study involving a large owner-operator in the UK that has been able to derive value from BIM systems in their AM processes. The key value of the paper is improving asset owners’ understanding of BIM in AM by demonstrating the implementation strategies, linkage to organisational objectives, challenges, value management process and business value of BIM in AM. Another contribution of the paper is improving the understanding of BIM, which is usually viewed as 3D models and that 3D geometric data do not have much value for AM tasks.

Nowadays, the advancements of wearable consumer devices have become a predominant role in healthcare gadgets. There is always a demand to obtain robust recognition of heterogeneous human activities in complicated IoT environments. The knowledge attained using these recognition models will be then combined with healthcare applications. In this way, the paper proposed a novel deep learning framework to recognize heterogeneous human activities using multimodal sensor data. The proposed framework is composed of four phases: employing dataset and processing, implementation of deep learning model, performance analysis, and application development. The paper utilized the recent KU-HAR database with eighteen different activities of 90 individuals. After preprocessing, the hybrid model integrating Extreme Learning Machine (ELM) and Gated Recurrent Unit (GRU) architecture is used. An attention mechanism is then included for further enhancing the robustness of human activity recognition in the IoT environment. Finally, the performance of the proposed model is evaluated and comparatively analyzed with conventional CNN, LSTM, GRU, ELM, Transformer and Ensemble algorithms. To the end, an application is developed using the Qt framework which can be deployed on any consumer device. In this way, the research sheds light on monitoring the activities of critical patients by healthcare professionals remotely. The proposed ELM-GRUaM model achieved supreme performance in recognizing multimodal human activities with an overall accuracy of 96.71% as compared with existing models.

Purpose The purpose of this paper is to investigate the processes, tools and techniques of strategic asset information management (AIM) for built assets, and how the asset information content enhances the proficiency of asset managers to effectively manage their assets throughout their life cycle by utilising building information modelling (BIM) and asset management (AM) systems. For most asset managers, the problem is not the lack of information about their assets, but the abundance of it, and most especially the absence of established processes and protocols to effectively manage large sets of asset data. Therefore, it is crucial to develop a strategy to control and manage this information in order for asset managers to harness its potential and realise value from their organisation’s information assets.. Design/methodology/approach A qualitative case study strategy was used to investigate the effective management of asset data in an AIM system. Seven sets of interviews were conducted and nine respondents were interviewed. These were analysed through qualitative thematic analysis using the NVivo software. Findings The paper identifies six dimensions of value that BIM contributes to AM, which are: management, commerce, efficiency, industry, user and technology value. Also, the paper demonstrates that there is real value to be derived by the asset owner from the effective management of asset information. The study highlights that the value of BIM is not inherent but would require many other processes to deliver value to the organisation. Originality/value The key value of the paper is that it identifies important techniques for managing asset data and how asset information is collected, organised, stored, controlled, analysed, secured, shared and reported within a virtual AIM system for strategic management-based decisions.

Purpose The purpose of this paper is to investigate and identify the activity systems that drive building information modelling (BIM) business value in asset management (AM). The utilisation of BIM has widened in scope, functionality, flexibility and interoperability to support the AM business process. However, research concerning BIM business value in AM has been inadequate despite its considerable potential and significance in the attainment of organisational objectives. The realisation of BIM business value requires a concerted effort by the asset owner to be able to determine and appraise the critical activities that drive business value in AM. Design/methodology/approach The study adopted a qualitative research approach based on a multi-case study strategy that aimed to identify the key business processes that drive BIM business value in AM. The study involved a three-stage research design using interviews and document analysis to facilitate a cross-case analysis from the perspective of the activity systems and dimensions of BIM governance. Findings The paper identified six critical activity systems that drive BIM business value for an asset owner: BIM strategy, contract management, lifecycle management, maintenance management, work-order management and value realisation management. The study found that the most developed activity system is the BIM strategy, and the least is value realisation management across all cases. Also, the paper points out that the most proficient BIM governance dimension is process, and the least is people across the three cases. The study noted that the ability of an asset owner to realise BIM business value has maturity undertones and that the asset owner could derive BIM business value, if the six activity systems are effectively executed and continuously improved to an advanced stage of maturity. Originality/value An original contribution of the study is the development of the understanding of asset owners in relation to the discovery of key activity systems that drive BIM business value in AM. Another significant contribution of this paper is the demonstration of a novel approach to evaluate organisational maturity of asset owners from the perspectives of the activity systems and BIM governance dimensions of people, process and technology.