The Role of TIA Platform in Digital Transformation: A Local and National Solution
Digital transformation is one of the most critical ways to enhance the competitive strength of industrial enterprises and transition to a sustainable production structure. In this context, the digital transformation supports offered by the Ministry of Industry and Technology and KOSGEB provide significant contributions to the digitalization processes of businesses. The TIA Platform product family that can benefit from these supports is listed below.
- 1. Hardware
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- ● Equipment for equipping existing machines with Industrial Internet of Things (IIoT) technology and integrating them with other systems within the factory.
- 2. Systems
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- ● Systems based on the use of sensors and/or computer vision for verifying the geometric and/or quality requirements of the product.
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- ● Systems that can validate the properties of materials entering or exiting the production process and are used in the inspection and characterization of materials.
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- ● Smart and connected systems for marking and tracking production batches and/or individual products.
- ● Systems for monitoring and controlling the operating conditions and process parameters of machines and production systems.
- 3. Software
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- ● Decision support software, systems, and applications that can interpret field data and provide action recommendations to enhance product quality and production system efficiency.
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- ● Software, systems, and applications with high integration capabilities for managing and coordinating production and maintenance activities.
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- ● Software, systems, and applications for monitoring and controlling the operating conditions and process parameters of machines and production systems.
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- ● Middleware software, systems, and applications that collect real-time information from production processes and sensors and consolidate it on platforms to be used by other systems.
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- ● Software, systems, and applications that convert data collected from production processes and sensors into real-time preventive/optimizing actions.
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- ● Data analytics, simulation, and predictive software, systems, applications, business intelligence, and reporting software for processing and utilizing big data obtained from IoT sensors applied in the industrial field.
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- ● Software, systems, and applications that facilitate the transmission and sharing of data and information within a network of interconnected smart sensors (Industrial Internet of Things).
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- ● Software, systems, and applications that enable unmanned/autonomous movements of material movements within the factory and can track material consumption on the production line in real-time.
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- ● Artificial intelligence and machine learning software, systems, platforms, and applications that ensure machines exhibit intelligent capabilities and/or activities in specific areas to maintain the quality and reliable operation of the production process.
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- ● Software, systems, and applications that enable the use of robots, collaborative robots, and smart machines on production lines for employee safety and health, the quality of end products, and predictive maintenance.
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- ● Quality recording and tracking software and integration necessary for managing and documenting quality processes, which can digitalize quality control in different production processes and pull information related to production parameters and product types by linking to resource planning and product lifecycle management applications.
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- ● Devices and software for determining factory areas and coverage points that will provide end-to-end network connectivity (Access Point, Router, Switch).
The TIA Platform product family has been developed to meet the needs of our industry and is offered to you as a domestic and national solution.
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- ● Capability to be controlled by CNC (Computer Numerical Control) and/or PLC (Programmable Logic Controller) and/or IPC (Industrial Computers).
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- ● Remote management through integration with other elements in the factory and/or factory management information systems.
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- ● Continuous monitoring in terms of operating conditions and process parameters through appropriate sensor sets.
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- ● Capability for remote diagnostics and/or remote maintenance and/or remote intervention.
it covers the features.