

Dr. Perin ÜNAL, Vice PresidentAs businesses seek big data solutions for productivity maximization, cost and energy minimization, predictive maintenance, and parameter optimization, TEKNOPAR has been pursuing these trends intently by taking active roles in the state-of-the-art innovation, research, and development projects across the EU and Turkey. The company has developed the TIA Platform, an end-to end system, to monitor and control the health status of any asset, vehicle, CNC machine, production line or process components, to detect anomalies, to predict and prevent defect situations, and to provide optimum management of the maintenance process. The platform consists of applications where data is rightly interpreted by utilizing algorithms focused on predictive maintenance, real-time data analysis, and anomaly detection. The TIA Platform includes TIA IOT to acquire big data, TIA DATA to analyze, process and store data, TIA UX for visualization and control. TIA APPS applications uses big data and AI for different purposes for analytical models featuring 3D engineering, physics-based models, statistics-based data models, optimization functions, and artificial intelligence models necessary to describe, understand and predict the operational states and behavior of digital twins.
One of the advantages of TEKNOPAR in providing IS, IoT/ M2M, and digital twins together through the TIA Platform is that there is an efficient and seamless integration among all of the subsystems.
Reliance on legacy systems, uncertain returns on investment, and the need for trusted security providers are few of the critical challenges faced by the data science industry at large. Moreover, businesses could sometimes be reluctant to use big data solutions when they are associated with (or linked to) technologies such as artificial intelligence, machine learning, and deep learning. At this juncture, by ensuring security and interoperability of existing systems to new big data solutions, TEKNOPAR has built a trust-driven relationship with its clients since its inception.
When it comes to providing big data and IoT solutions, clients can rest assured and rely on TEKNOPAR to keep their systems secure. The company focuses on providing end-to-end big data solutions and is thereby able to overcome the interoperability challenges with existing legacy systems. As most potential clients are not technically well informed about big data solutions, TEKNOPAR has developed an Auto ML solution based on inputs gathered from domain experts and academicians. With easy-to-follow steps, the GUI components enable non-AI experts to create and execute AI models.
For its services and applications pertaining to big data that can be purchased and used on-demand, TEKNOPAR provides an independent portal platform—the TIA Platform. One of the advantages of TEKNOPAR in providing IS, IoT/M2M, and digital twins together through the TIA Platform is that there is an efficient and seamless integration among all of the subsystems.
A client case study that best describes the competence of the company’s solutions is its use in winter service vehicles. TEKNOPAR installed sensors on the service trucks using the required communication network protocols, as the main purpose of these vehicles is to clear roads that have been obstructed due to excess snow in a short time frame. Based on the data collected through the sensors, the company’s solution was able to reduce the usage of salt and de-icing chemicals with minimal environmental impact. “The core elements of our innovation are control systems for winter service vehicles and cloud-based fleet management systems that provide smart algorithms which use real-time data from roads, satellites (GPS), and weather sensors,” exclaimed Dr. Perin ÜNAL. TEKNOPAR holds two patents and one utility model in this area: GPS Based Smart Mobile Application for Route Recommendation (Patent No: TR 2016/12235) A Fleet Management System to Improve the Effectiveness of Service Machinery (Patent No: TR 2016/07544) Electronic Control Box of Salt Spreader- Snow Plough (Utility Model No: TR 2013/02593Y).
Reliance on legacy systems, uncertain returns on investment, and the need for trusted security providers are few of the critical challenges faced by the data science industry at large. Moreover, businesses could sometimes be reluctant to use big data solutions when they are associated with (or linked to) technologies such as artificial intelligence, machine learning, and deep learning. At this juncture, by ensuring security and interoperability of existing systems to new big data solutions, TEKNOPAR has built a trust-driven relationship with its clients since its inception.
When it comes to providing big data and IoT solutions, clients can rest assured and rely on TEKNOPAR to keep their systems secure. The company focuses on providing end-to-end big data solutions and is thereby able to overcome the interoperability challenges with existing legacy systems. As most potential clients are not technically well informed about big data solutions, TEKNOPAR has developed an Auto ML solution based on inputs gathered from domain experts and academicians. With easy-to-follow steps, the GUI components enable non-AI experts to create and execute AI models.
For its services and applications pertaining to big data that can be purchased and used on-demand, TEKNOPAR provides an independent portal platform—the TIA Platform. One of the advantages of TEKNOPAR in providing IS, IoT/M2M, and digital twins together through the TIA Platform is that there is an efficient and seamless integration among all of the subsystems.
A client case study that best describes the competence of the company’s solutions is its use in winter service vehicles. TEKNOPAR installed sensors on the service trucks using the required communication network protocols, as the main purpose of these vehicles is to clear roads that have been obstructed due to excess snow in a short time frame. Based on the data collected through the sensors, the company’s solution was able to reduce the usage of salt and de-icing chemicals with minimal environmental impact. “The core elements of our innovation are control systems for winter service vehicles and cloud-based fleet management systems that provide smart algorithms which use real-time data from roads, satellites (GPS), and weather sensors,” exclaimed Dr. Perin ÜNAL. TEKNOPAR holds two patents and one utility model in this area: GPS Based Smart Mobile Application for Route Recommendation (Patent No: TR 2016/12235) A Fleet Management System to Improve the Effectiveness of Service Machinery (Patent No: TR 2016/07544) Electronic Control Box of Salt Spreader- Snow Plough (Utility Model No: TR 2013/02593Y).
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Company
TEKNOPAR
Management
Dr. Perin ÜNAL, Vice President
Description
With a business network of 27 nations, TEKNOPAR seeks to disseminate its expertise in big data-related solutions for its existing and potential client portfolio. The company has developed the TIA Digital Platform to monitor the health of an asset, vehicle, machine or process components, to detect anomalies, to predict & prevent defect situations, and provide optimum management of the maintenance process to thereby improve the total equipment performance.
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