Using Unmanned Aerial Vehicles to Conduct Site Inspections of Erosion and Sediment Control Practices and Track Project Progression

2015 ◽  
Vol 2528 (1) ◽  
pp. 38-48 ◽  
Author(s):  
Michael A. Perez ◽  
Wesley C. Zech ◽  
Wesley N. Donald
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Federal State ◽  
Construction Site ◽  
Construction Sites ◽  
Sediment Control ◽  
Aerial Vehicles ◽  
Inspection Process ◽  
State And Local ◽  
A Site

Construction activities increase the erosion potential of a site through earth-disturbing processes of vegetative grubbing, topsoil stripping, and grading. Receiving waters become susceptible and vulnerable to the process of sedimentation, which degrades the overall water quality. Federal, state, and local regulations require the use of erosion and sediment controls to help manage stormwater discharge from construction sites. Regulations further require regular inspections, monitoring, and maintenance of employed erosion and sediment control practices. Unmanned aerial vehicles (UAVs) are an emerging remote sensing tool capable of acquiring high resolution spatial and sensing data. Remote sensing with UAVs has the potential to provide high-quality aerial imagery and data that can assist in site inspections of erosion and sediment control practices and monitoring project progression. UAVs are economical and flexible in acquiring aerial data and can be preprogrammed with flight paths to capture data over construction sites objectively. UAV-based remote sensing enables user-controlled image acquisition and bridges the gap in scale and resolution between ground observations and imagery acquired from conventional manned aircraft and satellites. This research describes the application of UAV technologies for construction site inspections of erosion and sediment control practices and tracking project progression. A case study was performed on an active residential construction site with a commercially available UAV to showcase its application and capabilities of enhancing the site inspection process and construction monitoring.

A SCHEMA FOR IMPROVING CONSTRUCTION SAFETY WITH UNMANNED AERIAL VEHICLES

2020 ◽  
Vol 10 (1) ◽  
pp. 33-41
Author(s):  
Lesiba George Mollo ◽  
Fidelis Emuze ◽  
John Smallwood
Keyword(s):  
Unmanned Aerial Vehicles ◽  
South African ◽  
Construction Safety ◽  
Visual Images ◽  
Site Management ◽  
Construction Sites ◽  
Video Clips ◽  
Aerial Vehicles ◽  
Prevention Methods ◽  
A Site

This article aims to outline how to deploy unmanned aerial vehicles (UAVs) for on sites use in South African construction. The use of UAVs is gaining traction in the construction industry, where cyber-physical systems are promoting digital-to physical transformation. Among others, UAVs help assures the safety of people in construction. For instance, they are controlled remotely while moving faster than humans into inaccessible, hard-to-reach, and unsafe areas of job sites. They can be equipped with various types of sensors to transfer valuable data to safety managers and assist with onsite safety monitoring. Based on realised gains and the need to motivate its use, this article uses presents a schema that could help managers deploy UAVs on construction sites for safety performance purposes. The literature-based report utilised the keywords unmanned aerial vehicles and safety in construction to search the relevant database. The findings reveal that the critical hazards on construction sites can be identified using UAVs to allow proactive execution of accident prevention methods. Given that the captured visual images and video clips provide site management with a bird's eye view of a site, corrective measures can be implemented through 'walkabout' and instant instructions. The virtual images and video clips also help to identify hazards and risks that may cause accidents on construction sites. There is significant scope for using UAVs to improve construction safety when appropriate guidelines are implemented.

USE OF UNMANNED AERIAL VEHICLES AND COMPUTER VISION IN CONSTRUCTION SAFETY INSPECTIONS

2016 ◽  
Vol 3 (2) ◽  
Author(s):  
Mohamad Abbas ◽  
Bahaa Eddine Mneymneh ◽  
Hiam Khoury
Keyword(s):  
Computer Vision ◽  
Unmanned Aerial Vehicles ◽  
Health And Safety ◽  
Automated System ◽  
Construction Site ◽  
Safety Regulations ◽  
Aerial Vehicles ◽  
Inspection Process ◽  
Processing Techniques ◽  
Safety Inspections

Construction is unarguably one of the most dangerous industries whereby many hazardous tasks and conditions exist, which may pose injuries, risks and fatalities to the workers. Hence, safety inspections are continuously carried out to maintain a safe environment. These typically involve safety officers who circulate around the construction site to detect unsafe working conditions, and ensure compliance with health and safety regulations. However, the task of efficiently supervising a large number of workers and consistently identifying all possible violations is still considered manual and tedious. Therefore, this paper takes the initial steps and presents work targeted at automating the safety inspection process using Unmanned Aerial Vehicles (UAVs). These are commonly known as drones and are small, aerial camera-equipped robots capable of rapidly visualizing spacious environments. More specifically, in this study, a UAV system is used to capture real-time videos from a construction site. The videos are then streamed to a central automated system and analyzed using digital image processing techniques to check whether construction workers are wearing personal protective equipment (PPE), in particular hard hats. The components of the proposed system were created and preliminary results highlighted the potential of using camera-equipped UAVs and computer vision to automate safety inspections in construction environments.

scholarly journals Unmanned Aerial Vehicles (UAVs) for Physical Progress Monitoring of Construction

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4227
Author(s):  
Nicolás Jacob-Loyola ◽  
Felipe Muñoz-La Rivera ◽  
Rodrigo F. Herrera ◽  
Edison Atencio
Keyword(s):  
Computer Vision ◽  
Unmanned Aerial Vehicles ◽  
Progress Monitoring ◽  
Residential Building ◽  
Point Clouds ◽  
Construction Site ◽  
Manual Operation ◽  
Work Site ◽  
Aerial Vehicles ◽  
Made In

The physical progress of a construction project is monitored by an inspector responsible for verifying and backing up progress information, usually through site photography. Progress monitoring has improved, thanks to advances in image acquisition, computer vision, and the development of unmanned aerial vehicles (UAVs). However, no comprehensive and simple methodology exists to guide practitioners and facilitate the use of these methods. This research provides recommendations for the periodic recording of the physical progress of a construction site through the manual operation of UAVs and the use of point clouds obtained under photogrammetric techniques. The programmed progress is then compared with the actual progress made in a 4D BIM environment. This methodology was applied in the construction of a reinforced concrete residential building. The results showed the methodology is effective for UAV operation in the work site and the use of the photogrammetric visual records for the monitoring of the physical progress and the communication of the work performed to the project stakeholders.

A Review of Unmanned Aerial Vehicles, Citizen Science, and Interferometry Remote Sensing in Landslide Hazards

2017 ◽  
pp. 469-491 ◽  
Author(s):  
Panagiotis Partsinevelos ◽  
Zacharias Agioutantis ◽  
Achilleas Tripolitsiotis ◽  
Nathaniel Schaefer
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Citizen Science ◽  
Aerial Vehicles ◽  
Landslide Hazards

scholarly journals PERSPECTIVE OF USE OF REMOTE SENSING OF THE EARTH AND UNMANNED AERIAL VEHICLES IN THE AGRICULTURE OF TATARSTAN

2018 ◽  
Vol 12 (4) ◽  
pp. 17-19 ◽  
Author(s):  
Салават Сулейманов ◽  
Salavat Suleymanov ◽  
Николай Логинов ◽  
Nikolay Loginov
Keyword(s):  
Remote Sensing ◽  
Unmanned Aerial Vehicles ◽  
Remote Sensing Data ◽  
Soil Characteristics ◽  
Sensing Data ◽  
Natural Processes ◽  
Aerial Vehicles ◽  
The Earth ◽  
Constant Change ◽  
Vast Territory

The vast territory of Russia, occupied by agricultural lands, is difficult to control due to the lack of an undeveloped network of operational monitoring points, ground stations, including meteorological stations, lack of aviation support due to the high cost of maintaining staff, etc. In addition, due to various types of natural processes, there is a constant change in the boundaries of acreage, soil characteristics and vegetation conditions in different fields and from site to site. Abroad, the above mentioned problems are successfully solved due to the application of remote sensing data (RSD) of the Earth, obtained with the help of unmanned aerial vehicles (UAVs). The proceedings, obtained (UAV), can help both to solve complex tasks of managing agricultural territories, and in highly specialized areas.

Forest Firefighting Monitoring System Based on UAV Team and Remote Sensing

2019 ◽  
pp. 220-241
Author(s):  
Maryna Zharikova ◽  
Vladimir Sherstjuk
Keyword(s):  
Remote Sensing ◽  
Data Integration ◽  
Unmanned Aerial Vehicles ◽  
Monitoring System ◽  
Fire Response ◽  
Ground Support ◽  
Aerial Vehicles ◽  
Remote Sensing Techniques ◽  
Fire Spreading ◽  
Multi Uav

In this chapter, the authors propose an approach to using a heterogeneous team of unmanned aerial vehicles and remote sensing techniques to perform tactical forest firefighting operations. The authors present the three-level architecture of the multi-UAV-based forest firefighting monitoring system; features of patrolling, confirming, and monitoring missions; as well as functions of UAV in such missions. The authors consider an infrastructure for the UAV ground support and equipment used for the UAVs control. The method of the data integration into a fire-spreading model in a real-time DSS for the forest fire response is proposed. The proposed approach has been tested with the multi-UAV team that included three drones for the patrol missions, one helicopter for the confirmation mission, and one octocopter for the monitoring mission. The performance of such multi-UAV team has been studied in the laboratory conditions. The result of the experiment has shown that the proposed approach provides required credibility and efficiency of fire prediction and response.

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