Overview
· Several
industries, like automotive, electronics, and aerospace, heavily rely on
robotics and automation because of their large manufacturing and standardized
designs.
· Workplace
safety is an industry. According to the most recent data available,
construction was the Important industrial with the largest amount of workplace
deaths in the United States in 2015 (937), a startling 4% rise from the
previous year. This made it one of the riskiest industries to work in.
· Furthermore,
the business suffers from a chronic lack of competent workers, with over 60% of
contractors reporting difficulty finding appropriate personnel for their
sites.This is a result of the employees’ less than 70% attendance being held
back by infection concern.
· The
Railways building maintenance system has four level of primary functions:
remote inspection, spray washing, paint removal, and painting.
· In
August 1994, the system’s original prototype was built and tested successfully
as a robotic paint system or robotics bridge painting clean-up system.
· The
system’s primary goals were to eliminate the requirement for a human to be
actively involved in the cleanup process and to control lead-based paint.
Fig:1
Robotic Bridge
One
of the most important steps in building a bridge is tying rebar.
•
Back troubles and other health concerns may arise from this tiresome chore.
•
“Tybot,” is a robot that can used to tie rebar.
•
Tybot’s robotic arm can automatically recognize intersections to tie rebar, and
it can stretch up
to
140 feet above a bridge’s width.
Robot
of Spencer
Gibb
•
First fully autonomous robot bridge inspector.
•
Previously, surveying a bridge required digging into the road to inspect the
concrete and steel
structures beneath.
•
Human inspections are prone to error.
•
The four-wheeled, waterproof, battery-powered gadget uses ground-penetrating
radar and
electrical resistivity sensors to find any
rusted steel sections or decaying concrete within the
bridge.
Working
principle
After
obtaining the required beam from its original location, the SLJ900/32 will
drive to the bridge’s pillars and lower a pneumatic support structure, which
essentially secures the machine to the first pillar and allows it to extend
itself out to the second.
It
then proceeds to a third, depositing the beam along the way. Perhaps the
simplest way to completely comprehend how smoothly, efficiently, and fuss-free
it operates is to watch it in action.
With
its 64 wheels, divided into four parts of 16 wheels each, the machine is able
to move itself. Because each part can rotate ninety degrees, the SLJ900/32 can
move sideways to make picking up beams easier.
System
of cable inspection
Long-span
cable-supported bridges in particular need a high level of maintenance along
with dependable and effective inspection techniques.
Emerging
robotics technologies can be leveraged to overcome limitations of existing
cable inspection methods.
The
cable system difficult to reach with the methods used for current inspection, robots’
technologies are typically paired with strong non-destructive testing (NDT)
approaches.
The climbing robot subsystem allows it to move
on bridge cable. The robot may be remotely operated by inspectors, and it can
communicate sensor data to the control and analysis subsystem that is obtained
from the sensing modules.
The
NDT subsystem consists of two sensing modules: the magnetic sensing module,
which employs MFL devices to locate inner wire defects.
Fig
:2 Cable inspection
Flowchart of Painting and Planning of Robotic
Bridge
Efficient
Methods for Collision Avoidance
Collision avoidance and identification
during grit-blasting and mapping is an important yet challenging topic that
must be handled. The robot has just a little understanding of the geometry of
the preservation environment when it first enters the space. Because of this,
sensor package exploration requires the ability to detect robot body impacts
with the environment. A capacitive sensor for collision detection has already
been designed, and a sensor network is now being installed around the robot's
arm to forecast crashes. During grit-blasting and mapping, avoiding collisions
and identifying objects is a crucial yet difficult problem to address.
Tools Maintenance
Author
Bios:
Mr.S.Southamirajan
, AP/Civil
Dr.
N. Sridhar, AP/Civil
Poorani
R
Balaji
V
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