Название: Automation and Robotics in the Architecture, Engineering, and Construction IndustryАвтор: Houtan Jebelli, Mahmoud Habibnezhad
Издательство: Springer
Год: 2022
Страниц: 229
Язык: английский
Формат: pdf (true), epub
Размер: 27.0 MB
Automation and Robotics in the Architecture, Engineering, and Construction Industry provides distinct and unified insight into current and future construction robotics, offering readers a comprehensive perspective for constructing a road map and illuminating improvements for a successful transition towards construction robotization. The book covers the fundamentals and applications of robotics, autonomous vehicles, and human-perceptive machines at construction sites. Through theoretical and experimental analyses, it examines the potential of robotics and automated systems for current and future fieldwork operations and identifies the factors that determine their implementation pace, adoption scale, and ubiquity throughout the industry. The book evaluates the technical, societal, and economic aspects of adopting robots in construction, both as standalone and collaborative systems, which in return can afford the opportunity to investigate these AI-enabled machines more systematically.
- Provides promising solutions to transform and reinvent the construction industry;
- Discusses the application of construction site robotics and automation;
- Includes case studies from around the world.
Image processing as a high-end technology had also found its way in the C&D recycling. The preliminary studies had shown promising results on the utilization of image processing as part of an automatic sorting process which itself is a part of the whole recycling process. In an image processing system that was previously crafted, three main digital components were connected to a database in order to operate a sorting process as part of the C&D recycling process. The three digital components are, namely, a camera, conveyor belt and robotic arm. The whole image processing and the sorting system are summarized as follows:
1. Recycled aggregates are poured on the conveyor belt which runs with a specified speed and a certain recurring delay.
2. A camera which is installed above the conveyor belt identifies the type of particles within the recycled aggregate feed on the conveyor belt.
3. The output from the camera contains information about the particle type, size and location on the belt based on a Cartesian coordination system.
4. The output from the camera, then, will be compiled as an input for the robotic arm. This means that the claws are notified about the location, type and size of the particles which indicated where to lift and discharge the particles.
The camera used for object detection in this study connects to a microcontroller which can be programed on Windows to input commands and also display outputs on the screen. The programing language used to control this system is C/C++. This integration operates in 3V–5V power inputs. The microcontroller has predefined libraries for the camera integration. The data received from the camera is compiled by the following C/C++ codes to output a matrix which can be used later as input data for the robotic arm. Since a large volume of data is being transferred between the module and the compiler, the speed of serial port needs to be adjusted accordingly. The program first identifies the blocks and counts the number of blocks subsequently using a FOR loop.
Contents:
1. Automation and Robotics Technologies Deployment Trends in Construction
2. Essential Knowledge, Skills, and Abilities Required for Talent Cultivation in Construction Automation and Robotics
3. Robotics and Automation in Construction (RAC): Priorities and Barriers Toward Productivity Improvement in Civil Infrastructure Projects
4. Construction Automation and Sustainable Development
5. A Briefing on Technological, Societal, and Economical Aspects of Automation in Construction
6. Human-Drone Interaction (HDI): Opportunities and Considerations in Construction
7. Safety Challenges of Human-Drone Interactions on Construction Jobsites
8. Assessing the Role of Wearable Robotics in the Construction Industry: Potential Safety Benefits, Opportunities, and Implementation Barriers
9. Worker-Aware Task Planning for Construction Robots: A Physiologically Based Communication Channel Interface
10. Workers’ Trust in Collaborative Construction Robots: EEG-Based Trust Recognition in an Immersive Environment
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