UDMTEK

91, Changnyong-daero 256beon-gil, Yeongtong-gu
Suwon-si, 16229 Korea, South
https://www.udmtek.com/eng/main/index

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Since its founding in May 2007, UDMTEK has been at the forefront of technological innovation in machine language processing (MLP) and AI-driven predictive maintenance. As a pioneer in MLP, UDMTEK specializes in converting diverse control logic into a unified high-level language, streamlining industrial automation and ensuring seamless communication between complex systems. Our expertise in AI-based solutions has positioned us as a trusted partner for manufacturers in various industries seeking to enhance OEE and reduce downtime. In the rapidly evolving landscape of industrial automation, managing multiple control systems across various platforms poses significant challenges. UDMTEK’s advanced MLP technology bridges these gaps by standardizing diverse control logic into a single, coherent language. This breakthrough enables operators and engineers to improve overall production line efficiency. As most existing diagnosis system relies on external component data, UDMTEK's predictive maintenance platform empowers engineers to proactively solve potential problems. At the core of UDMTEK’s technological advancement is the UDMTEK Black-Box System, an AI-powered predictive maintenance platform designed to revolutionize equipment monitoring and fault diagnostics. Traditional maintenance methods often rely on scheduled servicing, leading to unnecessary downtime and inefficient resource allocation. The UDMTEK Black-Box System eliminates these inefficiencies by continuously analyzing equipment behavior, detecting anomalies in real time, and predicting potential failures before they occur. Key features of the UDMTEK Black-Box System include: 1. Playback Analysis: View the previous operations through camera view, Gantt view, and ladder view to trace all control trajectories and pinpoint the root cause of the anomaly. The data from camera view, Gantt view, and ladder are synchronized for effective breakdown maintenance. 2. Trend Analysis: AI model learning the operating range of the unit to be monitored, allowing it to set upper and lower limits. Preventive maintenance is available by the analyzed results that the AI model provided. 3. Alarm Analysis: Visualizing the total number of alarms and their occurrence times during the selected period in the form of bar and pie charts. 4. Master Pattern Analysis: Innovative tool for preventive maintenance that automatically generates regular patterns of the process after learning equipment process data. It allows real-time anomaly detection by comparing the current irregular cycle with the “regular cycle” learned by the master pattern. As the global manufacturing landscape shifts toward Industry 4.0, the demand for intelligent automation and predictive analytics continues to grow. UDMTEK remains committed to driving innovation in this space by developing cutting-edge AI solutions that enhance productivity and reliability. Our technology enables industries such as automotive, rechargeable battery, electronics, others to optimize processes. With years of expertise, a proven track record, and a relentless commitment to innovation, UDMTEK stands as a leader in the fields of machine language processing and AI-based predictive maintenance. For more information on how UDMTEK can capture unplanned downtime, visit our exhibition booth or send an email for meetings.

Products
  • Artificial Intelligence
  • Industrial IoT/IIoT/Industry 4.0
  • Software - Other
Services
  • System Integration - Automation
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