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Despite the continuous development of Building Information Modeling (BIM) standards, not all of its dimensions are supported to the same extent. This is the case of Building Automation Systems (BAS) in which the features that are limited mostly to physical setup of devices are supported. These are largely insufficient to support modeling automation scenarios. The purpose of this article is to clarify the gap in the state of the art and define the need for further developments.

This article explores the existing gap in the literature and discusses the hypothesis of extending BIM to a wider support of BA concepts. Based on an assessment of scientific and technical literature, this study elicits the information requirements of BA and performs a gap analysis with current BIM standards, such as Industry Foundation Classes (IFC).

Our findings lead us to conclude that there is a lack of completeness regarding features from BAS automation and management levels. Furthermore, it is shown that IFC is the most adequate data model to cover BAS without losing its purpose, but there is still a considerable work that needs to be addressed in future research.

BIM standards such as IFC position themselves as natural candidates for modeling and exchanging information regarding BA. However, the extent to which BIM supports automation features has never been rigorously analyzed. This article explores the existing gap in the literature and discusses the hypothesis of extending BIM to a wider support of BA concepts. Based on an assessment of scientific and technical literature, this study elicits the information requirements of BA and performs a gap analysis with current BIM standards such as IFC.

This paper aims to define imminent and future key aspects in innovative production machines and systems but more specifically to focus on the automation and control aspects.

The foresight analysis is based on the state‐of‐the‐art of current manufacturing technologies with a setup of key enabling features and a roadmap research.

The paper finds that more integration of current and future technology development is required to build a strong platform for various applications featured with interoperability, trust, security and protection. Autonomy and close collaboration aspects in machines remain as crucial targets for the near future. An immediate action is required on smart strategies for the design patterns and agents to enable intuitive components for high quality dynamic user interfaces. This will allow rapid configuration and adaptation to new manufacturing tasks with highly improved machine learning.

The paper describes the future of key aspects required to move the production, automation and control systems forward.

Modern building systems, such as HVAC, lighting, life safety, security, vertical transportation and electrical power distribution, make use of modern direct digital control and communication technologies. Such an approach has initiated the use of the adjective ″smart″ when referring to buildings that are equipped with a significant portion of these new systems. Integrated building automation and management systems (BAS/BMS) have been developed for newly constructed commercial, domestic and industrial buildings. Building management staff can gain access to any building system through the BAS for the purpose of data monitoring and real‐time control inside the control room. With the advent of Internet technology, all critical data in a BAS can be transmitted to and from any authorized user around the world, who can then perform the same function of monitoring and control even when the user is thousands of miles away from the building as when the user is sitting in front of the control console inside the control room. Describes the development and features of the Internet‐based system using an air‐handling unit simulator as an illustrative example. Discusses details of the hardware and software of the Internet site.

The purpose of this paper is to review the progress made in arc welding automation using trajectory planning, seam tracking and control methodologies.

This paper discusses key issues in trajectory planning towards achieving full automation of arc welding robots. The identified issues in trajectory planning are real-time control, optimization methods, seam tracking and control methodologies. Recent research is considered and brief conclusions are drawn.

The major difficulty towards realizing a fully intelligent robotic arc welding system remains an optimal blend and good understanding of trajectory planning, seam tracking and advanced control methodologies. An intelligent trajectory tracking ability is strongly required in robotic arc welding, due to the positional errors caused by several disturbances that prevent the development of quality welds. An exciting prospect will be the creation of an effective hybrid optimization technique which is expected to lead to new scientific knowledge by combining robotic systems with artificial intelligence.

This paper illustrates the vital role played by optimization methods for trajectory design in arc robotic welding automation, especially the non-gradient approaches (those based on certain characteristics and behaviour of biological, molecular, swarm of insects and neurobiological systems). Effective trajectory planning techniques leading to real-time control and sensing systems leading to seam tracking have also been studied.