Page 38 - CIJ June 2025-Digital Edition

FACILITY MANAGEMENT

Automated cleaning solutions, driven

by labour shortages and the need for
safer practices, particularly in hazardous
environments where manual cleaning

is often banned. AI-powered cameras
for quality control and material handling
helps eliminate complete dependence on
manual cleaning.

Sandeep Rawal

Navigating the Path to and calibrates itself accordingly. changing parameters can be spotted
Predictive maintenance was another
and be taken as factors for future
Automation key point, aimed at reducing failure.”
Vedant Matta from Charnock machine downtime by predicting Sandeep Rawal explained the
shed light on the considerations the lifespan of consumables like application of cameras in AI
when clients inquire about brushes, squeegees, batteries and technology for maintenance and
automation. “When people are motors. quality control. “Cameras are used
researching automation and for maintenance, for production
robotics, first distinguish between Smart Shift: and for multiple access points.
whether curious or serious and AI, IoT & Drones The usage is to find out if the
whether the machines can work quality parameters are in line with
on the shopfloor,” he advised. He The conversation seamlessly those defined by the end user. In
also highlighted the operational transitioned back to AI, robotics case of a known problem, or a
aspect: “The second aspect is these and drones in industrial settings as defined problem, a decision can
machines operate on their own; manufacturing evolves. Pankaj Patil be taken by the machine about
monitoring needs a person who elaborated, “Industrial maintenance whether rejection or tolerance
understands a dashboard, even was reactive and time-consuming, is acceptable or not acceptable.
drones used in a facility need a pilot not so productive. This is where Critical applications like pharma
to operate.” automation comes in. or food can benefit from the use of
Matta underscored the IoT makes the equipment smart AI-based solutions.”
importance of technology, noting, and connected. The data from IoT When asked about the key
“None of the machines used sensors, when connected with benefits of shifting to automation,
in India, including the robotic Cloud, can predict future failures. the Siemens spokesperson listed
devices, use the SLAM technology It detects a pattern, based on that increased productivity, improved
(Simultaneous Localisation and pattern it can predict maintenance safety and increased sustainability.
Mapping), wherein the robots events.”
placed on the shopfloor detect He gave an example: “Let us Real-World
themselves, make a map for say in one of the utility systems, Applications and
themselves and get to work.” HVAC, the air sensor installed can
He also stressed the need for measure the temperature gradient, Challenges
adaptive cleaning technology in measure the air flow and update Nilesh P Gokhale (Regional
conventional machines, where about power consumption. The live FM-Lead, AEMA) of Mondelez
the machine senses the type of feed of this asset or machine can be India Foods Ltd shared their five-
chemical needed, the brush pressure conveyed to the maintenance team; year journey with robotic cleaning.

38 JUNE 2025•Clean India Journal•www.cleanindiajournal.com