Projects
Creating a Digital Transformation Strategy Document(Digital Twin)
- This project involved developing a comprehensive strategy document that outlines a roadmap for integrating cutting-edge digital solutions across various facets of the steel production ecosystem. By leveraging advanced technologies such as Internet of Things (IoT), Artificial Intelligence (AI), Big Data analytics, and automation, the steel industry can achieve significant improvements in operational efficiency, productivity, and sustainability. The strategy document lays out a clear vision for adopting these technologies and provide actionable insights on how to implement them effectively within the industry. Furthermore, this document addresses key areas such as supply chain optimization, predictive maintenance, quality control, energy efficiency, and workforce upskilling. By embracing digital transformation, the steel industry can unlock new opportunities for growth, improve competitiveness, and drive innovation in a rapidly evolving market landscape. Ultimately, this project aimed to empower steel manufacturers with a strategic framework to embrace digitalization, enhance operational agility, and pave the way for a more sustainable and efficient future in the Steel Industry. This project was a co-work between Tehran Polytechnic & merc.ac.ir & HSU
100%
Automatic control system using IoT for the chemical industrial sector
- This project aims to enhance efficiency and safety in chemical processing by leveraging Internet of Things (IoT) technology. In this project, various sensors and IoT devices are installed to monitor critical parameters such as temperature, pressure, pH levels, flow rates, and other key metrics in realtime. This project not only improves operational efficiency and safety in chemical industry, but also enhances data driven decision-making and predictive maintenance capabilities. By using IoT technology, chemical plants can achieve more precise control over their processes, leading to higher quality products and reduced risks.
85%
Pipeline fault recognition using AI and BI for the Gas Industry
- In this project, we aimed to revolutionize the gas industry by implementing cutting-edge artificial intelligence algorithms to detect defects in gas pipelines automatically. By leveraging AI technology, this project enhances the efficiency and accuracy of defect detection processes, ensuring the timely identification of potential issues to prevent hazardous situations. Additionally, a user-friendly dashboard has be designed to visualize the detected defects, providing stakeholders with real-time insights into the pipeline’s health and enabling proactive maintenance strategies. This dashboard also offers intuitive visualizations and actionable data analytics, empowering decision-makers to respond swiftly to any identified defects and optimize maintenance schedules effectively. Through the integration of AI-based defect detection and a comprehensive dashboard interface, this project promises to enhance safety measures, streamline maintenance operations, and ultimately improve the reliability and integrity of gas pipelines within the Gaz industry. This project was a co-work between three partners, Shahed University & merc.ac.ir & HSU.
95%