Expanding footprints across the ever-changing landscape of India, Hitachi India is driving digital and green transformation to fortify the nation’s growth together with its stakeholders. To make their operations more aligned, Antino aided Hitachi with digital transformation solutions by developing an advanced PMEI (Process Monitoring & Efficiency Improvement) system that offers insights into the process KPIs of the steel manufacturing process.
Hitachi India, a subsidiary of the global conglomerate Hitachi Ltd., is dedicated to driving innovation and technological advancements across various sectors in India. With a focus on sustainable growth and digital transformation, Hitachi India is a leader in providing solutions that enhance operational efficiency and promote environmental sustainability.
Industrial Automation
Custom Software Development
Enterprise
Python
Django Rest Framework
Oracle
JavaScript/ TypeScript
Establishing a communication framework between PLCs and PMEI for seamless integration and rigorous testing posed a complex operational challenge in industrial automation.
Effectively managing the constant influx of data from PLCs required robust systems for real-time processing and analysis to extract meaningful insights.
Implementing adaptation controls in mill setup to ensure a seamless adjustment to dynamic conditions while optimising operational efficiency and performance.
Addressing shear cut or strip breakage challenges required swift identification of root causes and implementation of preventive measures for seamless production continuity.
Initiating the retransmission of Level-1 setup data on the identical port to effectively address the prevailing challenge and ensure seamless communication through this strategic resend.
We examined existing C language programs and successfully implemented them in Python. We also utilized TCP-IP builder as an alternative tool for testing in the absence of actual hardware (PLCs).
To effectively manage data from PLCs, we optimized functions using basic data structures such as stacks and queues while also incorporating memorization for enhanced efficiency.
We deactivated adaptation for the current processing coil by disabling the adaptation button, controlled by two program flags: Flag1 indicated the current adaptation status, while Flag 2 was used to track user activity from the frontend button.
Upon receiving the P003/P007 signal from PLCs, our system was primed to trigger a routine by seamlessly managing calculations such as rolled length and weight for enhanced operational efficiency.
We implemented a database model to monitor user clicks for ‘resend to level 1’, integrated socket data validation checks, and stored/relayed setup data from PMEI to the outer system for seamless processing.
