12.02.2018 Views

Smart Industry 1/2018

Smart Industry 1/2018 - The IoT Business Magazine - powered by Avnet Silica

Smart Industry 1/2018 - The IoT Business Magazine - powered by Avnet Silica

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Indoor Tracking<br />

THE HARD HAT JUST<br />

GOT SMART<br />

In the construction world health<br />

and planning, monitoring, and<br />

enforcement relies mostly on<br />

human experts applying knowledge<br />

on an as-needed basis. Because<br />

human error in the project planning<br />

phase can occur and safety plans<br />

are rarely updated once construction<br />

is underway, the conditions in work<br />

spaces must be checked frequently.<br />

Studies show that the health and safety<br />

process remains a key issue. The<br />

fact that about 60,000 construction<br />

worker deaths worldwide occur each<br />

year shows the need for suitable tracking<br />

and control systems.<br />

An interdisciplinary team from the<br />

Ruhr University in Bochum, Germany,<br />

led by Jochen Teizer and Mario Wolf<br />

has set out to create an IoT-based<br />

system involving “smart hard hats,”<br />

specially modified safety helmets that<br />

will help solve these kinds of problems.<br />

As Teizer explains, the goal of<br />

the project is to collect, collate, and<br />

examine tracking and forecasting information<br />

to assist in the identification,<br />

preparation, and execution of each<br />

single step of a work process.<br />

Mario Wolf states that IoT’s power lies<br />

in the ability to interconnect digital<br />

and physical objects, such as 3D<br />

computer models, mobile devices,<br />

machines, and tools, to enable a<br />

broader, smarter range of new applications<br />

and services to be developed.<br />

In the university team’s case, each<br />

“worker” was equipped with smart<br />

personal protective equipment –<br />

hard hats or reflective vests – upon<br />

which sensors had been mounted to<br />

continuously collect environmental<br />

data, such as levels of illumination,<br />

from the surroundings in real time.<br />

These readings were automatically<br />

assigned to individual locations, for<br />

instance from the ID of a work space.<br />

Data sets were collected via the<br />

hat-mounted sensory equipment,<br />

based on Bluetooth Low Energy (BLE),<br />

as well as through mobile devices,<br />

typically smartphones, connected to<br />

the Internet.<br />

For the helmets, 3D-printed casings<br />

were created to house Avnet’s Visible<br />

Things Bluetooth <strong>Smart</strong> Sensors,<br />

which allow the collection of environmental<br />

data. The sensor casings were<br />

then mounted on the side plates of<br />

standard industrial hard hats.<br />

By combining the traceability of the<br />

worker’s location with environmental<br />

Jochen Teizer Bochum’s Ruhr University<br />

Constant data collection<br />

Data from the smart hard<br />

hats are collected through<br />

Bluetooth Low Energy<br />

sensors and can be viewed<br />

on smartphones and other<br />

mobile devices<br />

data, the IoT platform is able to monitor<br />

key safety-related parameters, like<br />

time spent in low or high temperatures,<br />

or the lack of adequate lighting<br />

in a work area. For example, some<br />

regions in the basement of a building<br />

under construction often offer some<br />

of the poorest work site conditions.<br />

Accidents in such spaces often lead<br />

to injuries such as sprained ankles,<br />

which results in high costs due to the<br />

enforced absence of workers for days<br />

at a time.<br />

Future work on the project will include<br />

the implementation of an improved<br />

location tracking algorithm, as well as<br />

the introduction of advanced sensory<br />

equipment using communication<br />

over the LoRaWAN low-power wireless<br />

standard.<br />

A new prototype helmet, designated<br />

<strong>Smart</strong>Hat 4.0, will then be the subject<br />

of further field studies on an actual<br />

construction site.<br />

75

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!