Roseneia Rodrigues Santos de Melo

Bio: Roseneia Rodrigues Santos de Melo is an academic researcher from Federal University of Bahia. The author has contributed to research in topics: Construction management & Construction site safety. The author has an hindex of 4, co-authored 9 publications receiving 120 citations.

Exploratory study of using unmanned aerial system imagery for construction site 3D mapping

Abstract: The purpose of this paper is to present an exploratory study which aims to assess the potential use of 3D mapping of buildings and construction sites using unmanned aerial system (UAS) imagery for supporting the construction management tasks.,The case studies were performed in two different residential construction projects. The equipment used was a quadcopter equipped with digital camera and GPS that allow for the registry of geo-referenced images. The Pix4D Mapper and PhotoScan software were used to generate the 3D models. The study sought to examine three main constructs related to the 3D mapping developed: the easiness of development, the quality of the models in accordance with the proposed use and the usefulness and limitations of the mapping for construction management purposes.,The main contributions of this study include a better understanding of the development process of 3D mapping from UAS imagery, the potential uses of this mapping for construction management and the identification of barriers and benefits related to the application of these emerging technologies for the construction industry.,The importance of the study is related to the initiative to identify and evaluate the potential use of 3D mapping from UAS imagery, which can provide a 3D view of the construction site from different perspectives, for construction management tasks applications, trying to bring positive contributions to this knowledge area.

Integrating resilience engineering and UAS technology into construction safety planning and control

Abstract: The purpose of this paper is to present an exploratory study in order to understand the contributions of the resilience engineering (RE) concept and the use of unmanned aerial systems (UASs) technology to support the safety planning and control (SPC) process.,A case study on a construction project was conducted and involved the following steps: diagnosis of the SPC process; development of a safety monitoring protocol using UASs; and field tests to monitor safety performance using UASs and data analysis.,In terms of its theoretical contribution, this work presents a conceptual framework explaining how the RE and the UASs can contribute to the SPC process. Also, this paper provides, as a practical contribution, a protocol for safety monitoring with UASs integrated into the safety routine, highlighting the tasks that can be checked and unsafe conditions and safety/production conflicts identified through monitoring.,This study can be used to support and stimulate the construction managers who wish to adopt the RE concepts and UAS technology to improve safety management.,An efficient SPC process can improve the work conditions at construction sites, contributing with the reduction of accidents rates.,The paper highlights the need to adopt new approaches, as RE concepts and UAS technology to support the SPC process, in order to improve safety conditions at construction sites.

Applications of Unmanned Aerial Vehicles in Mining from Exploration to Reclamation: A Review

Abstract: Over the past decade, unmanned aerial vehicles (UAVs) have been used in the mining industry for various applications from mineral exploration to mine reclamation. This study aims to review academic papers on the applications of UAVs in mining by classifying the mining process into three phases: exploration, exploitation, and reclamation. Systematic reviews were performed to summarize the results of 65 articles (June 2010 to May 2020) and outline the research trend for applying UAVs in mining. This study found that UAVs are used at mining sites for geological and structural analysis via remote sensing, aerial geophysical survey, topographic surveying, rock slope analysis, working environment analysis, underground surveying, and monitoring of soil, water, ecological restoration, and ground subsidence. This study contributes to the classification of current UAV applications during the mining process as well as the identification of prevalent UAV types, data acquired by sensors, scales of targeted areas, and styles of flying control for the applications of UAVs in mining.

Drone Mission Definition and Implementation for Automated Infrastructure Inspection Using Airborne Sensors.

Abstract: This paper describes a Mission Definition System and the automated flight process it enables to implement measurement plans for discrete infrastructure inspections using aerial platforms, and specifically multi-rotor drones. The mission definition aims at improving planning efficiency with respect to state-of-the-art waypoint-based techniques, using high-level mission definition primitives and linking them with realistic flight models to simulate the inspection in advance. It also provides flight scripts and measurement plans which can be executed by commercial drones. Its user interfaces facilitate mission definition, pre-flight 3D synthetic mission visualisation and flight evaluation. Results are delivered for a set of representative infrastructure inspection flights, showing the accuracy of the flight prediction tools in actual operations using automated flight control.

The effectiveness of an integrated BIM/UAV model in managing safety on construction sites

Abstract: Introduction. A variety of approaches exist to achieve better construction safety performance, but only a few consider a combination of building information modeling (BIM) and unmanned aerial vehicles (UAVs). Method. This article presents a four-dimensional (4D) BIM/UAV-enabled safety management model based on IDEF0 language. In the first step, potential hazards are identified with the help of safety specialists' experiences and BIM software used in the design of the structure. Then, a UAV monitors the location of the potential hazards. The third step involves the integration of the 4D BIM-based model and the information obtained from the UAV. Finally, the combined data are analyzed and interpreted, and site safety staff are notified about measures to be put in place to prevent accidents. Results. This model shows a strong relationship between the design and construction phases by using BIM in the design phase and UAVs in the construction phase. The proposed safety model was evaluated by construction safety specialists in a two-pronged approach. Conclusion. The number of fatal, non-fatal and property damage-causing accidents may be significantly lower when the proposed system was used. Practical application. This model allows safety specialists to identify hazards and develop suitable mitigation strategies.