Software

Simple and intuitive operation with customizable user rights. Default roles are provided for initial users, with the option to manage users directly in the HMI or via Windows domain (Active Directory). Custom roles can be created with configurable access rights per machine, ensuring full self-configuration. View multiple machines from a single interface.

Extensive data logging allows detailed tracking of key values, making it a powerful tool for continuous optimization of processes and production quality. It also offers third party application programming interfaces (APIs), allowing you to develop customized applications. With easy integration of advanced data analysis tools, PROBAT Machine Control supports OEE analysis, maintenance tools and many other functions that improve overall operational efficiency.

Each alarm is accompanied by a description of the cause and possible consequences, enabling informed decision making. Additional information such as customized images, videos and comments can be added for personal fault documentation. Easy access to relevant information on unresolved issues simplifies troubleshooting and maintenance. A comprehensive library of descriptive text and images supports accurate fault identification and resolution.

With customized Software Service Level Agreements, PROBAT offers its customers a comprehensive and future-oriented maintenance concept that guarantees maximum operational reliability and efficiency. The combination of proactive service and individual adaptation makes PROBAT a reliable partner for sustainable and optimized production processes - today and in the future.

Independent, standardized HMI views smoothly merge the most important production data, which was previously only stored in the MES, into an intuitive visualization. Embedded typicals—standardized icons representing elements such as motors or sensors—provide a consistent graphical representation, while centrally configured faceplates display context-sensitive operation dialogs with critical information like system status and alarms. This design not only streamlines object display and configuration but also enables precise sensor simulation and targeted error analysis in maintenance mode, ensuring efficient and reliable plant operation. 

Continuous tracking of components from receiving to finished product, using advanced identification technologies. This data is instantly integrated into the MES, enabling accurate monitoring and comprehensive tracking of each material's journey for improved quality control and process optimization.

User management and a clear, intuitive alarm system ensure maximum safety. The integration of a dedicated safety PLC guarantees full compliance with all plant safety requirements. Comprehensive safety documentation supports both programming and commissioning, providing transparency and reliability. In addition, a test system is available for each project, allowing production processes and interfaces to be simulated in a controlled environment, facilitating implementation and effective customer training.

Modern food production facilities are equipped with a wide range of sensors that continuously collect various types of data - from raw material quality and the entire processing workflow to energy consumption and equipment status. PROBAT Data Intelligence analyzes this data by recognizing patterns based on dependencies and correlations, and transforms it into knowledge and actionable insights presented in easy-to-use dashboards. These cloud-based, customizable dashboards provide real-time access to production data from anywhere, enabling users across the business to make informed decisions to optimize performance, quality and availability.

Data is generally more secure in the cloud because the PROBAT data hub is built to the latest standards. After all, "in the cloud" simply means that data is transferred to servers in professionally managed data centers, which offer better protection against fire, burglary, unauthorized access and data loss than most non-specialized companies.