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Creating a configuration file using WinConfig

The buttons in the list window execute the following actions:

OK

The entered MPOOL statements are confirmed.

Cancel The modified MPOOL statements are discarded again.

Dyn_Connect

This menu item supports the definition of connections which are to be used by non- transaction-monitored dynamic clients for communication with transaction-monitored T-ORB applications (see section 6.2 on page 46).

The Dyn_Connect menu item contains two submenu items:

Dyn_Connect>System...

This menu item allows you to customize the DYNAMIC_CONNECT statement.

The following list window is displayed when this menu item is called:

Figure 29 Dialog window: Dyn_Connect-System

The list window always displays the current entries for the DYNAMIC_CONNECT statement for the system. There are no default settings. The entries displayed in the list window are transferred to a configuration file as parameters of the DYNAMIC_CONNECT statement when they are saved.

The current entries can be modified using the Del Statement and Add Statement but- tons.

●Deleting an entry

◊Mark an entry in the display area with the left mouse button.

◊Click on Del Statement with the left mouse button.

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V 4.0 specifications

Siemens V 4.0 is an advanced digital platform designed to enhance operational efficiency and streamline processes in various industries. It embodies the principles of Industry 4.0, leveraging cutting-edge technologies to create a more connected, intelligent, and automated manufacturing environment. This platform integrates data-driven insights and advanced analytics to facilitate informed decision-making and improve productivity.

One of the main features of Siemens V 4.0 is its ability to provide end-to-end visibility across the manufacturing value chain. By connecting machines, production lines, and supply chains through the Internet of Things (IoT), Siemens V 4.0 enables real-time monitoring and control. This connectivity allows companies to identify bottlenecks, reduce downtime, and enhance overall operational performance.

Another key technology embedded in Siemens V 4.0 is artificial intelligence (AI). AI algorithms analyze vast amounts of data generated throughout the production process, enabling predictive maintenance and optimizing production schedules. By anticipating equipment failures and streamlining operations, businesses can achieve significant cost savings and minimize disruptions.

Siemens V 4.0 also emphasizes the importance of automation and robotics. By integrating robotic process automation (RPA) into manufacturing workflows, companies can achieve higher levels of efficiency while reducing human error. This automation not only speeds up production times but also allows workers to focus on more complex tasks that require human ingenuity.

Additionally, Siemens V 4.0 supports advanced simulation and digital twin technology. Through the creation of virtual models of physical assets, manufacturers can simulate different scenarios, identify risks, and optimize design processes before implementation. This capability accelerates innovation while minimizing waste and resource consumption.

Another important characteristic of Siemens V 4.0 is its scalability. The platform can be tailored to meet the unique needs of various industries, from automotive to pharmaceuticals. This flexibility ensures that companies of all sizes can leverage its capabilities, driving global competitiveness.

In conclusion, Siemens V 4.0 is revolutionizing the manufacturing landscape through its comprehensive suite of features, including IoT connectivity, AI-driven insights, automation, and digital twin technology. By adopting this platform, businesses can transition toward more efficient and sustainable operations, ultimately preparing them for the future of industrial production.
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