Research & Development
Industrial BiDashboard
This R&D project targeted the development of a domestic and innovative Industrial Business Intelligence (BI) platform that enables simultaneous data communication between automation systems using different industrial languages. Gathering real-time and high-speed data flow under a single roof, the software ensures effective storage, reporting, and monitoring of data with instant alerts. Integrating voice and image processing technologies to take human-machine interaction to an advanced level and supporting multiple languages for international use, this solution provides a strong and flexible domestic alternative to imported software by bringing a modern perspective to existing SCADA and HMI systems.
IOT-AGENT SYSTEM
The IOT Agent System is a domestic R&D solution that collects flow, level, temperature, density, tonnage, and product change data instantly from terminal and facility systems into a central software infrastructure, making it 24/7 traceable, analyzable, and retrospectively reportable. Thanks to data processed with Big Data architecture, out-of-limit situations are detected instantly; and rapid action is ensured through visual, auditory, SMS, and email alerts. With its flexible structure such as wireless communication, solar energy, and GSM integration, the system can be easily adapted to different sectors, offering a strong and accessible alternative to high-cost imported solutions, significantly increasing safety, efficiency, and operational continuity.
Industry 4.0 Based Performance Measurement
This R&D project is a domestic and innovative Industry 4.0 solution developed to accurately and instantly measure net equipment efficiency (OEE) in industrial production environments. Based on availability, performance, and quality components, the system transparently reveals production efficiency by simultaneously monitoring workstations, equipment, and employee performance. Enabling even machines without industrial communication capabilities to be integrated with ERP systems, the software allows for the digitalization of existing infrastructure without the need for additional high-cost investments. Addressing human and equipment efficiency together, this solution offers a strong decision support infrastructure for true costing and sustainable production management.
AI-Based Call Center
The AI-Based Call Center and Request Management Platform is an innovative solution that automatically classifies support requests submitted via email and phone by evaluating them with AI-supported analyses, directs them to relevant units, and records them end-to-end. Developed considering the high volume data, fast access, and effective reporting needs of the petroleum, LPG, and petrochemical sectors in particular, the system strengthens decision-making processes with instant monitoring, transparent parameter management, and advanced reporting capabilities. Making customer interactions efficient with Natural Language Understanding and Chatbot integrations, the platform takes businesses' quality, traceability, and operational efficiency standards to an advanced level thanks to 24/7 monitoring, field operation management, and secure data archiving features.
Customs Automation with Machine Learning
Aiming to manage flow and pressure in a synchronized and precise manner in fuel transfer processes between ship and land tanks, the Smart Fuel Transfer Control Module takes operational safety and efficiency to the next level with an advanced model-based control approach. Thanks to real-time data processing, dynamic modeling, and prediction algorithms, the system calculates the ideal state required under variable field conditions and applies it instantly, evaluating results and generating feedback. Strengthening the existing two-stage sequential control structure with advanced decision support capabilities, this software module works fully integrated with the Flashtech infrastructure, allowing users to make more informed, fast, and optimal decisions.
Loading and Neutralization of Flammable Chemicals
This R&D project aims to safely load and neutralize flammable chemicals as a domestic and national solution implemented within the scope of the Presidency of Defense Industries. Implemented for the first time in our country, this system performs the neutralization process without the need for human intervention after loading is completed until the environment becomes safe again. It keeps environmental requirements at a minimum level throughout the entire process. Offering both operational flexibility and a safe working environment for employees thanks to its portable structure and result-oriented software infrastructure, the project creates strategic added value in the defense industry with domestic and fast solutions that reduce foreign dependency while allowing controlled recipe trials.
AI-Powered Chatbot
This R&D project aims to develop an intelligent chatbot based on Natural Language Processing (NLP) to transform the technical support processes of MEGA. By teaching the most frequently encountered technical problems to artificial intelligence with different forms of expression, the system can understand user questions with a human-like approach and produce correct and consistent answers. Providing 24/7 uninterrupted and simultaneous support, this structure ensures the rapid resolution of frequently asked questions while allowing human resources to be directed to more strategic and value-added areas. As a result, the project presents an innovative technical support experience that increases customer satisfaction, raises operational efficiency, and makes a sustainable contribution to MEGA's competitiveness.
Face Recognition System
This R&D project aims to secure the authentication of drivers entering filling facilities with AI-supported face recognition technology. Thanks to the face scan performed at facility entrances, the match between the declared person and the arriving driver is verified instantly, and only authorized persons are allowed access to the facility. This approach prevents unauthorized entries and security vulnerabilities while making security checks faster and error-free. Answering the high security requirements of the petrochemical sector, the project offers an innovative solution aimed at strengthening operational discipline, increasing facility security, and implementing sustainable, modern security protocols.
Flow Simulator
VirtuFlow Max enables fast and accurate operational decisions thanks to its advanced structure that simulates product flow with high accuracy, minimizing product losses, and its instant data acquisition and analysis capabilities. Offering low maintenance costs with its design containing no mechanical parts and easily integrated into existing systems thanks to its modular architecture, the solution provides high-level reliability with low failure risk and uninterrupted data flow. Offering a wide area of use from gas stations to airports, chemical plants to oil pipelines with its ability to adapt to different flow rates and product types, this R&D project aims to advance industrial flow measurement standards by increasing efficiency and safety and to sustainably raise the competitiveness of businesses.
Smart Filling: Energy and Efficiency Optimization with Equal Aging
The Smart Filling – Energy and Efficiency Optimization with Equal Aging project is an advanced level automation solution developed to increase operational efficiency, reduce energy consumption, and extend equipment life in filling facilities in the petrochemical sector. Thanks to special algorithms based on the equal aging principle, the load balance of filling islands is intelligently optimized, preventing excessive wear and unplanned downtimes. Working fully integrated with the Flashtech Terminal Automation System, the structure provides both cost advantage and environmental sustainability with data-oriented analysis, continuous performance monitoring, and preventive maintenance approaches. This project takes industrial automation standards forward by making filling operations more balanced, efficient, and sustainable.
Filling Terminal Digital Twin
This R&D project aims to take automation and decision support processes to a new level with advanced digital twin infrastructure developed for industrial facilities, primarily refineries and oil terminals. While operations become instantly monitorable, analyzable, and predictable thanks to virtual models fed with real-time sensor data, it aim to reduce energy consumption and increase efficiency with AI-supported maintenance and operation optimization. Designed specifically for the oil and gas sector, this innovative platform supports the sustainable competitiveness of businesses by offering a solution applicable in different industrial branches thanks to its scalable structure.
Predictive Maintenance
This R&D project aims to transform the maintenance processes of critical equipment used in oil refineries and oil product terminals from reactive and periodic approaches to an AI-supported predictive maintenance model. By analyzing real-time operating data collected via sensors with machine learning algorithms, potential malfunctions are predicted in advance, significantly reducing unplanned downtimes and maintenance costs. The system, supported by Explainable AI (XAI) methods, ensures that decisions taken are understandable by operators, while data integrity and system security are guaranteed with integrated cyber security measures. This innovative solution offers a more efficient, safe, and sustainable maintenance management in facilities by increasing operational continuity.
Blue Trace
This R&D project aims to develop a new generation flow measurement meter with high accuracy and commercial measurement approval, specially designed for the physical and chemical properties of AdBlue liquid. Thanks to innovative measurement technologies containing no mechanical parts and temperature-compensated smart electronic software, measurement errors caused by crystallization and density changes will be minimized, ensuring long-term stable performance. This meter, which will be developed with domestic capabilities and aims to comply with national/international regulations, aims to increase customer satisfaction and provide businesses with a sustainable competitive advantage by offering reliable, low-maintenance, and precise AdBlue measurement in gas stations and industrial applications.
Tank Farm e-Devlet Module
This R&D project aims to securely collect, monitor, and archive data received from tank measurement systems in fuel storage facilities at certain periods in a central software infrastructure and automatically declare them to EMRA (EPDK) and Customs units. Thanks to the powerful background module running with Windows services and the web-based user interface, manual declaration processes are eliminated, human-induced errors are minimized, and full compliance with legislation is achieved. Reducing operational load and increasing transparency, this innovative solution makes data management in fuel storage facilities more effective, fast, and reliable.