Suppliers Turkey TEKNOPAR Industrial Automation
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TEKNOPAR Industrial Automation

TEKNOPAR Industrial Automation
Turkey
Ankara
1996
Private
$10-100m
51 - 200
Open website

TEKNOPAR, founded in 1996, is one of the leading providers of automation systems and solutions in Turkey for industrial facilities, energy, mobility sectors. Through the development of its engineering and production infrastructure, the company has extended its sphere of activity to provide customers with a wide range of services and end-to-end solutions where integrated applications of mechanical, hydraulic, automation, control and information technologies have been supplied. By combining information technologies with control, automation, robotics, and operational technologies, our company develops industrial communication systems, servo-controlled motion systems, Embedded Software, industrial software and data processing platforms. This blend of expertise is further enhanced by an expansive manufacturing capability, positioning TEKNOPAR as a versatile partner in industrial innovation.

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TIA Platform stands at the forefront of the Industrial Internet of Things (IIoT) revolution, offering an unmatched solution designed to address the pressing needs of the manufacturing sector for real-time production visibility and streamlined communication between operators and management. Originating from a vision to transition manufacturing from a reactive to a predictive modality, TIA Platform utilizes the most advanced real-time analytics to power this transformation.

Empowering the Digital Manufacturing Era:

At its essence, TIA Platform is more than just an IIoT analytics and machine monitoring platform—it's a catalyst for Digital Transformation within the manufacturing landscape. By offering real-time insights into production data, immediate notifications, and historical analytics, TIA Platform empowers workers at all levels to make swift, informed decisions, enhancing operational agility and efficiency.

Streamlining IoT Integration for Peak Efficiency:

Recognizing the complexity of IoT integration in manufacturing environments, TIA Platform simplifies this process, offering a straightforward, user-friendly platform that champions manufacturing efficiency. Its ease of integration removes barriers, allowing manufacturers to rapidly achieve operational excellence.

Advanced Monitoring and Comprehensive Reporting:

TIA Platform distinguishes itself through superior monitoring capabilities and robust reporting functionalities. It delivers in-depth insights into machine conditions, production metrics, work-order statuses, and quality control measures. Featuring real-time dashboards, OEE reports, job analytics, and detailed downtime analysis segmented by shift, machine, and job/part, the platform provides a detailed lens through which managers can pinpoint production bottlenecks and evaluate the effectiveness of process improvements.

Flexibility with Cloud and On-Premise Solutions:

Designed for maximum accessibility, TIA Platform's secure, mobile-friendly cloud application ensures that manufacturing data is readily available, with no need for on-site servers. This approach guarantees automatic updates while reducing IT overhead. Alternatively, for organizations preferring localized data control, TIA Platform offers an On-Premise solution, where data is securely stored on company-owned hardware, ensuring both flexibility and security in data management.

Shaping the Future of Smart Manufacturing:

As the manufacturing industry advances towards a digitally integrated future, TIA Platform is paving the way. The platform not only meets the immediate needs for real-time production monitoring and strategic decision-making but also lays the groundwork for implementing Predictive Maintenance and operational forecasting. With TIA Platform, manufacturers are positioned to leap from reactive measures to proactive strategies, unlocking unprecedented levels of efficiency, innovation, and competitive advantage in the manufacturing process.

Begin your journey of Digital Transformation with TIA Platform and set new benchmarks in manufacturing efficiency, predictive analytics, and operational foresight. Join us in redefining the future of manufacturing—where digital intelligence meets operational excellence.

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American Spiral Weldpipe Co (ASWP), Silverline, Coşkunöz, Noksel, ASELSAN

 

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TEKNOPAR Industrial Automation is a provider of Industrial IoT actuators, analytics and modeling, automation and control, functional applications, platform as a service (paas), processors and edge intelligence, and sensors technologies, and also active in the aerospace, automotive, equipment and machinery, and metals industries.
Technologies
Analytics & Modeling
Computer Vision Software
Digital Twin / Simulation
Machine Learning
Predictive Analytics
Process Analytics
Real Time Analytics
Sensors
Accelerometers
Chemical Sensors
Pressure Sensors
Temperature Sensors
Voltage Sensors
Platform as a Service (PaaS)
Connectivity Platforms
Data Management Platforms
Automation & Control
Programmable Logic Controllers (PLC)
Supervisory Control & Data Acquisition (SCADA)
Processors & Edge Intelligence
Microcontrollers & Printed Circuit Boards
Functional Applications
Remote Monitoring & Control Systems
Actuators
Hydraulic Actuators
Use Cases
Computer Vision
Condition Monitoring
Digital Twin
Edge Computing & Edge Intelligence
Machine Condition Monitoring
Predictive Maintenance
Predictive Quality Analytics
Remote Asset Management
Vehicle Telematics
Visual Quality Detection
Functions
Discrete Manufacturing
Process Manufacturing
Industries
Aerospace
Automotive
Equipment & Machinery
Metals
Services
Data Science Services
Software Design & Engineering Services
System Integration
TEKNOPAR Industrial Automation’s Technology Stack maps TEKNOPAR Industrial Automation’s participation in the actuators, analytics and modeling, automation and control, functional applications, platform as a service (paas), processors and edge intelligence, and sensors IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies3
Real-Time Welding Optimization with Welding Robot
Automating welding processes with robots enhances productivity and environmental friendliness. However, the quality of robotic welding can deteriorate due to various factory conditions. Continuous monitoring and adjustments are necessary to maintain high standards.
Digital Twin-based Predictive Maintenance with TEKNOPAR’s TIA Platform
Predictive Maintenance is a sophisticated approach in equipment management that employs machine learning to constantly monitor and evaluate the condition of machinery. This methodology aids manufacturers in predicting potential faults, significantly reducing production costs, optimizing device usage, and enhancing productivity. Key activities in predictive maintenance include continuous monitoring of equipment health, data-driven condition assessment, and using advanced algorithms for predicting potential failures. A digital twin—a digital replica of a physical object, contextualized within its environment—plays a crucial role in this process.A leading spiral welded steel pipe manufacturer in Turkey faced significant production challenges. The factory's production process, reliant on a series of interdependent machines, was highly susceptible to disruptions. Any machine failure would halt the entire production line, leading to unpredictable and prolonged downtimes. Additionally, the lack of sufficient failure data necessitated the generation of synthetic data using high-fidelity hybrid models.
Eliminating CNC Machine Chatter for Optimal Performance
Chatter, or unwanted vibrations during CNC machining, can cause noise, heat, and damage to both the workpiece and cutting tools. It is crucial to detect and mitigate chatter to ensure high-quality production and prolong the lifespan of the equipment.
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