Webinars

The goal of the BIM2TWIN is to reduce all kinds of operational waste, schedule shortenings, cost reductions, quality, safety improvement, and carbon footprint reduction. BIM2TWIN is an EU innovation project that creates a Digital Building Twin platform for construction site management with artificial intelligence and semantically linked data techniques providing full simulation awareness and extensive construction management applications. The platform provides a complete situational insight into the as-built and as-performed processes, which uses and compares to the as-designed applications to implement a close-loop plan-do-check-act process. This entire process relies on multiple onsite sensors for data acquisition, cross-domain analysis, and complex AI-based event processing. The Digital Building Twin offers a programming interface application that allows construction management applications to cooperate with its data, information, and knowledge bases.
This series of webinars offer technical and specific insights into the project’s different work packages dealing with the Digital Building Twin platform and its applications and its testing on specific demonstration sites where physical building renovation or construction is happening.
There will be five online webinars in total, each one lasting 40 minutes structured as follow:
  • 10 minutes of introduction on the project’s aims
  • 20 minutes of explanation related to the webinar’s topic
  • 15 minutes of Questions & Answers
To register for each webinar please fill in the form you find by clicking on “sign up for the event” on the webinar’s description.

Find out the events

Digital Building Twin Platform

Friday 1st of March 2024, 11:00-12:00 
Online

The first online webinar will concentrate on explaining the work done to specify and develop the over-arching data structures of the Digital Twin, fundamental data processing chains, as well as the Digital Building Twin Platform required to manage the data. To develop and define the Digital Building Twin data models, a comprehensive requirements analysis for digital building twins was performed. The one-stop digital twin platform delivers enablers to provide, collect and explore these data so that they can be shared among the different services.

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Progress Monitoring and Quality Control for Volumetric Building, Surface and Textural Work

Friday 8th of March 2024, 11:00-12:00
Online

The second webinar focuses on the work done to develop procedures and a software prototype for automating the detection of meaningful point clusters and assignment of the most likely object labels to them probabilistically, for the detection of expected-but missing objects with the updating of the corresponding activities’ progress status and for the measurement of object spatial properties on their corresponding point clusters, comparing them against their corresponding as-designed values and specification tolerance limits. Moreover, procedures and software for monitoring and evaluating conformance of as-built product to as-designed product were produced, specifically focusing on building elements, products, and the related surfaces; detecting columns during the construction stage to highlight eventual delays and checking superficial defect on the finished textures. The approach is mainly based on visible images at coupled with AI-based classifiers embedded in low-cost and easy to use portable systems.

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Demonstration Pilots

Friday 22nd of March 2024, 11:00-12:00
Online

The third webinar will explain the work done to carry out the BETA testing of the Digital Building Twin Platform, meaning to plan, design, monitoring, and set up the implementation in each of the real demo buildings, implement the Digital Building Twin platform and finally evaluate its behavior in order to improve its functionalities. The real demonstration covers different typologies of Buildings and construction methods located in 3 different European countries (Spain, Finland, and France).

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Digital Twins for Workers’ Occupational Safety & Health and Equipment Optimization

Tuesday 26th of March 2024, 12:00-13:00
Online

The fourth webinar will discuss the assurance of the occupational health and safety of construction workers through a system of prevention through design in construction operation design and planning, proactive real-time risk detection and warning on construction sites, and rapid personalized feedback in learning and decision making. To mitigate risks and achieve the goal of zero accidents in construction, a digital twin consisting of a smart computational rule checking algorithms for safe workspace planning, an automated remote sensing and artificial intelligence for proactive risk detection and prevention, and an advanced data reporting and visualization techniques for enhanced hazard awareness, education and training have been developed and tested in the field. Moreover, since efficiently controlling equipment on construction sites is a major challenge and in contrast to assembly line production in mechanical engineering, the use of equipment on construction sites varies from project to project and must be continuously adapted, this webinar will explain the work accomplish to develop methods and prototypes for the optimal management of equipment on complex construction sites, such as the configuration of suitable monitoring concepts for construction equipment, real-time detection of obstacles and methods for analyzing the recorded real-time data to identify the causes of potential problems.
Moreover, regarding the efficient control of equipment on the construction site, methods and prototypes have been developed for the optimal planning and control of equipment on complex construction sites such as the configuration of suitable acquisition concepts for monitoring construction equipment, concepts for semi-automatic control of construction equipment and real-time detection of obstacles.

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Production Planning

Monday 8th of April 2024, 11:00-12:00
Online

The last webinar will tackle developed procedures and a software prototype for optimization of construction planning subject to lean principles by predicting possible outcomes of changes to design or plan, using simulations based on the situational awareness provided by the Digital Building Twin. The principal aim is to transform production management from reactive to proactive, by providing a user-friendly tool for people on site (site managers, crew leaders, construction engineers) to evaluate, in real-time, the possible outcomes of design/plan decisions they consider. The software provides situational awareness by displaying the current state as the starting point for decision-making.

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