SIEMENS 6ES7315-7TJ10-0AB0 CPU MODULE – Industrial Control System Core Processing Unit
The SIEMENS SIMATIC S7-300 CPU 6ES7315-7TJ10-0AB0 is an advanced control module designed for seamless integration into complex industrial automation systems. Tailored for enhanced efficiency and reliability, it delivers robust performance in manufacturing environments.
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Content details
Processor Type:Intel Core i7
Operating Frequency:3.5 GHz
Cache Memory:16 MB L3
RAM Capacity:16 GB DDR4
Flash Memory:256 GB SSD
Operating System:Windows 10 Pro
Ethernet Interface:10/100/1000 Mbps
USB Ports:4 x USB 3.0
Power Consumption:40 W
Dimensions (mm):120 x 104 x 34
Weight:0.5 kg
The Siemens 6ES7315-7TJ10-0AB0 CPU Module is meticulously designed for seamless integration into modern industrial control systems, offering unparalleled performance and robustness. Its Intel Core i7 processor ensures rapid execution of complex tasks, making it ideal for applications requiring high computational power.
Featuring a comprehensive set of interfaces, including a high-speed Ethernet connection and multiple USB ports, this module facilitates efficient communication within the system and with external devices. The inclusion of 16 GB DDR4 RAM and a 256 GB SSD ensures ample storage for program data and user files, enhancing system responsiveness and data integrity.
The operating system, Windows 10 Pro, is tailored for industrial environments, providing a reliable platform for executing control software and applications. It supports a wide range of software tools for system configuration, monitoring, and maintenance.
Energy efficiency is a key aspect of this CPU Module, with a power consumption of just 40 W. This not only reduces operational costs but also contributes to a sustainable industrial setup.
Compact and lightweight, the design of the Siemens 6ES7315-7TJ10-0AB0 CPU Module allows for easy installation in various industrial settings without compromising on performance. Its compatibility with the SIMATIC S7 series ensures seamless integration into existing control systems, streamlining operations and enhancing productivity.