153 research outputs found
Neues Licht aus Pompeji
No full textAustellungskatalog zur gleichnamigen Ausstellung des Instituts für Klassische Archäologie der LMU München und der Staatlichen Antikensammlung und Glyptothek München unter der Schirmherrschaft des Bayerischen Staatsministers für Wissenschaft und Kunst Markus Blume.
Was haben die Römer gesehen, wenn sie nachts feierten, arbeiteten, lebten, liebten? „Neues Licht aus Pompeji“ hält Antworten bereit! In dem Begleitband zur gleichnamigen Ausstellung geht es um Kunstlicht und Lichtkunst in der Antike, um die Technik, Ästhetik und Atmosphäre künstlicher Beleuchtung. Denn römisches Kunstlicht ist ein Medium der Gestaltung, es lebt vom Zusammenspiel von Licht und kunstvoll gestalteten Geometrien und Oberflächen der Lampenkörper und Raumwände. Und es lebt von der Wahrnehmung durch das menschliche Auge. Der Katalog lädt dazu ein, Licht zu sehen und zu verstehen. Schlüssel dazu sind die Bronzeoriginale selbst, die zur Nahsicht auffordern: rund 130 römische Öllampen, Kandelaber, Lampenständer, figürliche Lampen- und Fackelhalter aus den Vesuvstädten Pompeji und Herculaneum, heute im Bestand des Archäologischen Nationalmuseums von Neapel. Neben den weltbekannten Statuen der Bronzeepheben werden zahlreiche gänzlich unbekannte Altfunde vorgestellt, die über Jahrzehnte vergessen, in den Depots des Museums lagen. Sie wurden eigens für die Ausstellung erforscht und restauriert. In über 600 Bildern begleitet von anspruchsvollen, aber gut verständlichen Texten schlägt der Katalog eine Brücke zwischen Wissenschaft und Kunst, zwischen Antike und High-Tech, zwischen Kulturwissenschaft und Industrie. Antikes Licht heute attraktiv und spannend sichtbar gemacht
Bosche, John F. (Death, 1877-01-27)
No full textAddress: 48 Franklin St.Age at death: 54 yrsPg 227/1877/370/M W M/Germany/Dr. G. Richard/Juegling/St. Mary'sOriginal record filed in drawer labeled 'BOS-BOWMAN,F'
Tracking MEP installation works
No full textPrevious research has shown that "Scan-vs-BIM" systems are powerful to provide valuable information for tracking structural works (progress, quality, safety). However, the transferability of this capability to other construction areas such as MEP works has not been assessed so far. Comparatively, the construction of MEP systems, in particular pipes and ducts, tends to be more flexible with respect to the positioning of individual components, so that Scan-vs-BIM systems could be defeated when tracking MEP installation works. This paper presents recent results on the feasibility and performance of using a Scan-vs-BIM system to track MEP works. The approach followed is presented and then tested with two real-life challenging case studies were conducted simultaneously but totally independently in Canada and Italy. The results show that, as expected, pipes and ducts tend to be more loosely positioned than structural elements leading to a poorer performance of the Scan-vs-BIM system. Nonetheless, it appears that the system works well to assess the level of conformance of site installation works, providing valuable information for estimating emerging performance metrics like "percent built as-designed". In addition, the proposed system could also be useful to accelerate and thus reduce the cost of delivering as-built BIM models for in the case of new builds
Augmented Reality and Deep Learning towards the Management of Secondary Building Assets
No full textThe retrieval of as-is information for existing buildings is a prerequisite for effectively operating facilities, through the creation or updating of Building/Asset Information Models (BIM/AIM), or Digital Twins. At present, many studies focus on the capture of geometry for the modelling of primary components, overlooking the fact that many recurring actions need to be conducted on assets inside buildings. Furthermore, highly accurate survey techniques like laser scanning need long offsite processing for object recognition. Performing such process on site would dramatically impact efficiency and also prevent the need to revisit the site in the case of insufficient/incomplete data. In this paper, an Augmented Reality (AR) system is proposed enabling inventory, information retrieval and information update directly on-site. It would reduce post-processing work and avoid loss of information and unreliability of data. The system has a Head-Mounted Display (HMD) AR interface that lets the technician interact handsfree with the real world and digital information contained in the BIM/AIM. A trained Deep Learning Neural Network operates the automatic recognition of objects in the field of view of the user and their placement into the digital BIM. In this paper, two uses cases are described: one is the inventory of small assets inside buildings to populate a BIM/AIM, and the second is the retrieval of relevant information from the AIM to support maintenance operations. Partial development and feasibility tests of the first use case applied to fire extinguishers, have been carried out to assess the feasibility and value of this system
Investigation of Data Formats for the Integration of 3D Sensed and 3D CAD data for Improved Equipment Operation Safety
No full textUse of automation in construction is increasing at a rapid pace because it provides ways of dealing with skilled labour shortages, and of improving safety, quality and productivity. Much of this automation revolves around a control loop in which planned and designed assets are compared with what is currently in place. Comparing sensed and designed spatial data will be part of this broader process of comparison. This paper explores this issue by analyzing the characteristics of 3D sensed and CAD data, and investigating data formats that could be used for their integration. The focus is on the particular context of efficient 3D modeling for improved equipment operation safety. Results of an algorithm developed for converting 3D CAD data into point clouds are presented as a solution to one part of the challenge
Performance of automated project progress tracking with 3D Data fusion
No full textIn the Architectural-Engineering-Construction & Facility Management industry, project progress tracking is an important management task. Currently, this task still requires a significant amount of non value-adding manual effort that interferes with value-adding work. Additionally, current practice may lead to approximate or unreliable results. In this paper, the authors present an approach fusing threedimensional (3D) Computer-Aided Design (CAD) modeling and time-stamped 3D laser scanned data for non intrusive automated project progress tracking. This approach robustly and efficiently recognizes all 3D CAD model elements in project 3D laser scans. Its applicability and performance with respect to automated construction progress tracking are investigated. Real-life data obtained during the construction of a green field power plant project is used for the investigation
Automated 3D data collection (A3DDC) for 3D building information modeling
No full textThe Architectural/Engineering/Construction (AEC) industry is slowly shifting toward performance-driven project and project delivery. Assuring good performance requires efficient performance control processes. Among the different construction performance control processes, many critical ones, including progress tracking, productivity tracking and dimensional quality control, rely on efficient three-dimensional (3D) information flows. However, the AEC industry currently lacks reliable and efficient means of monitoring 3D information at the object level, which is critical to these processes. The authors have developed an innovative approach for automated 3D data collection (A3dDC) by automatically recognizing 3D Computer-Aided Design (CAD) model objects in 3D laser scans. This paper rapidly presents this approach and then details how it enables (1) automated life-cycle project 3D data collection for integration within Building Information Models, and consequently (2) the monitoring processes above to perform better. It is also shown how this approach enables planning for 3D scanning and ultimately strategic scanning.</p
Metric for Automated Detection and Identification of 3D CAD Elements in 3D Scanned Data
No full textBeing able to efficiently compare as-built against as-planned 3D states is critical for performing efficient building and infrastructure construction, maintenance, and management. Three-dimensional (3D) laser scanners have the potential to be successfully applied to these tasks. Recent commercial products allow the comparison of 3D scanned and 3D CAD data based on CAD forms. Their current use is however limited due to the large amounts of manual data processing required for extracting useful information. By using 3D Computer Aided Design (CAD) models as representations of 3D specifications and Global Positioning System (GPS) technologies, the authors present an approach for automating the comparison of 3D sensed data and 3D CAD data. This new approach does not perform this data comparison based on CAD forms but on point-clouds.This paper discusses the fundamental differences between the two approaches, describes the theoretical implementation of the proposed approach, and presents laboratory experimental results confirming the potential impact of the proposed method on industry’s practices
Bosche, Catherine (Death, 1906-03-12)
No full textAddress: 2013 Colerain AvenueAge at death: 80-2-26418/Pg 36/1906/F W W/Germany/Dr. Joseph M. Topmoeller/Westerman & Son/St. Johns Cem.Original record filed in drawer labeled 'BOS-BOWMAN,F'
Towards automated progress tracking of erection of concrete structures
No full textOne of the main criticisms of the construction industry is that projects are too often completed behind schedule (and/or with cost overruns). Schedule delays may result from poor planning, but also from poor progress control, because, if progress deviation is identified too late, then actions can often not be taken to avoid the impact of these delays on the overall project schedule. Progress tracking of erection of concrete structures in particular is a very demanding task requiring intensive data collection. It is because erection of concrete structures involves many steps like erection of scaffolding, formwork and rebar assemblies, concrete placement, and removal of scaffolding and formwork. Current manual tracking methods, based on foremen daily reports, are typically time consuming and/or error prone. Three dimensional (3D) Laser Scanners (LADARs) are capable of capturing and recording the 3D status of construction sites with high accuracy in short periods of time and have thus the potential to effectively support progress tracking. An automated object recognition system has recently been developed to recognize project 3D CAD model objects from site laser scans. A novel system is proposed here which combines this 3D object recognition system with architect and engineer provided BIM and schedule information into a 4D object recognition system, with a focus on progress tracking. This new system improves the one originally proposed by Bosche et al. (2009). It is demonstrated with real life data acquired over the course of construction of the new Engineering V Building at the University of Waterloo
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