Automation Engineering

The days of running a process manually in the process industry have long gone past. For sustainability, proper asset utilization, increase in productivity, enhancement in process efficiency and to be on top in the concerned markets, automation is the backbone of the plant’s life cycle. Working on 3C ideology i.e. “Concept, Conceive and Commission” drives us to provide hassle free, nicely documented, result oriented and best automation solutions for your process. IPROINDIA specialists select process computers, HMI, microprocessors, programmable logic controllers (PLC) and distributed control system (DCS) for process and operation control in accordance with the requirement of the plant. We apply the standards and guidelines for work safety, plant safety, exprotection and electromagnetic compatibility (EMC).

Services

Process & Instrumentation Diagram (P&ID)
Application based control system
Secured information network system
Preparation of wiring diagrams
Control panel engineering
Implementation of complex control philosophies
In-house testing
Start-up and commissioning services on site
Control loop optimization with PID tuning tools
Onsite and offshore support training

Related Case Study & Projects

Sugar Crystals by PAN Automation and Management System

Pan Automation & Management System

One of the most advanced batch Pan automation and management systems by the IPRO group. Successfully commissioned at Akbarpur Chini Mills Ltd.(A unit of Balrampur group)

New Raw Sugar Refineries

IPRO Engineering group references
Studen-Agrana Sugar Refinery, Brcko, Bosnia Herzegovina
Capacity ~550 t/day
Our Services: Basic Engineering
Detail Engineering
Supervision of installation and commissioning

Plant revamp JDW Sugar Mills Ltd, Pakistan

In the year 2010, JDW Sugar Mills Ltd (JDW) a 20,000 tcd cane sugar plant with backend refinery obtained services from IPRO to bring down high steam consumption (52.60% on cane) of the plant along with capacity increase and cogeneration. During the plant audit IPRO identified various operational and equipment inefficiencies and suggested to reach the target in two phases to lower the investment burden and to use savings of first phase as investment for second phase.